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1 | ''' | |||
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2 | Created on Set 10, 2017 | |||
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3 | ||||
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4 | @author: Juan C. Espinoza | |||
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5 | ''' | |||
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6 | ||||
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7 | ||||
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8 | import os | |||
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9 | import sys | |||
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10 | import time | |||
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11 | import glob | |||
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12 | import datetime | |||
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13 | ||||
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14 | import numpy | |||
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15 | ||||
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16 | from schainpy.model.proc.jroproc_base import ProcessingUnit | |||
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17 | from schainpy.model.data.jrodata import Parameters | |||
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18 | from schainpy.model.io.jroIO_base import JRODataReader, isNumber | |||
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19 | from schainpy.utils import log | |||
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20 | ||||
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21 | FILE_HEADER_STRUCTURE = numpy.dtype([ | |||
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22 | ('year', 'f'), | |||
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23 | ('doy', 'f'), | |||
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24 | ('nint', 'f'), | |||
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25 | ('navg', 'f'), | |||
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26 | ('fh', 'f'), | |||
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27 | ('dh', 'f'), | |||
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28 | ('nheights', 'f'), | |||
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29 | ('ipp', 'f') | |||
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30 | ]) | |||
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31 | ||||
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32 | REC_HEADER_STRUCTURE = numpy.dtype([ | |||
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33 | ('magic', 'f'), | |||
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34 | ('hours', 'f'), | |||
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35 | ('timedelta', 'f'), | |||
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36 | ('h0', 'f'), | |||
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37 | ('nheights', 'f'), | |||
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38 | ('snr1', 'f'), | |||
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39 | ('snr2', 'f'), | |||
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40 | ('snr', 'f'), | |||
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41 | ]) | |||
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42 | ||||
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43 | DATA_STRUCTURE = numpy.dtype([ | |||
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44 | ('range', '<u4'), | |||
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45 | ('status', '<u4'), | |||
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46 | ('zonal', '<f4'), | |||
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47 | ('meridional', '<f4'), | |||
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48 | ('vertical', '<f4'), | |||
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49 | ('zonal_a', '<f4'), | |||
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50 | ('meridional_a', '<f4'), | |||
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51 | ('corrected_fading', '<f4'), # seconds | |||
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52 | ('uncorrected_fading', '<f4'), # seconds | |||
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53 | ('time_diff', '<f4'), | |||
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54 | ('major_axis', '<f4'), | |||
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55 | ('axial_ratio', '<f4'), | |||
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56 | ('orientation', '<f4'), | |||
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57 | ('sea_power', '<u4'), | |||
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58 | ('sea_algorithm', '<u4') | |||
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59 | ]) | |||
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60 | ||||
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61 | ||||
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62 | class JULIAParamReader(JRODataReader, ProcessingUnit): | |||
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63 | ''' | |||
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64 | Julia data (eej, spf, 150km) *.dat files | |||
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65 | ''' | |||
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66 | ||||
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67 | ext = '.dat' | |||
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68 | ||||
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69 | def __init__(self, **kwargs): | |||
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70 | ||||
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71 | ProcessingUnit.__init__(self, **kwargs) | |||
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72 | ||||
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73 | self.dataOut = Parameters() | |||
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74 | self.counter_records = 0 | |||
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75 | self.flagNoMoreFiles = 0 | |||
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76 | self.isConfig = False | |||
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77 | self.filename = None | |||
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78 | self.clockpulse = 0.15 | |||
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79 | self.kd = 213.6 | |||
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80 | ||||
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81 | def setup(self, | |||
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82 | path=None, | |||
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83 | startDate=None, | |||
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84 | endDate=None, | |||
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85 | ext=None, | |||
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86 | startTime=datetime.time(0, 0, 0), | |||
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87 | endTime=datetime.time(23, 59, 59), | |||
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88 | timezone=0, | |||
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89 | format=None, | |||
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90 | **kwargs): | |||
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91 | ||||
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92 | self.path = path | |||
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93 | self.startDate = startDate | |||
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94 | self.endDate = endDate | |||
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95 | self.startTime = startTime | |||
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96 | self.endTime = endTime | |||
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97 | self.datatime = datetime.datetime(1900, 1, 1) | |||
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98 | self.format = format | |||
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99 | ||||
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100 | if self.path is None: | |||
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101 | raise ValueError, "The path is not valid" | |||
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102 | ||||
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103 | if ext is None: | |||
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104 | ext = self.ext | |||
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105 | ||||
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106 | self.search_files(self.path, startDate, endDate, ext) | |||
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107 | self.timezone = timezone | |||
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108 | self.fileIndex = 0 | |||
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109 | ||||
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110 | if not self.fileList: | |||
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111 | log.warning('There is no files matching these date in the folder: {}'.format( | |||
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112 | path), self.name) | |||
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113 | ||||
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114 | self.setNextFile() | |||
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115 | ||||
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116 | def search_files(self, path, startDate, endDate, ext): | |||
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117 | ''' | |||
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118 | Searching for BLTR rawdata file in path | |||
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119 | Creating a list of file to proces included in [startDate,endDate] | |||
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120 | ||||
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121 | Input: | |||
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122 | path - Path to find BLTR rawdata files | |||
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123 | startDate - Select file from this date | |||
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124 | enDate - Select file until this date | |||
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125 | ext - Extension of the file to read | |||
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126 | ''' | |||
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127 | ||||
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128 | log.success('Searching files in {} '.format(path), self.name) | |||
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129 | fileList0 = glob.glob1(path, '{}*{}'.format(self.format.upper(), ext)) | |||
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130 | fileList0.sort() | |||
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131 | ||||
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132 | self.fileList = [] | |||
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133 | self.dateFileList = [] | |||
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134 | ||||
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135 | for thisFile in fileList0: | |||
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136 | year = thisFile[2:4] | |||
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137 | if not isNumber(year): | |||
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138 | continue | |||
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139 | ||||
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140 | month = thisFile[4:6] | |||
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141 | if not isNumber(month): | |||
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142 | continue | |||
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143 | ||||
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144 | day = thisFile[6:8] | |||
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145 | if not isNumber(day): | |||
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146 | continue | |||
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147 | ||||
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148 | year, month, day = int(year), int(month), int(day) | |||
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149 | dateFile = datetime.date(year+2000, month, day) | |||
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150 | ||||
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151 | if (startDate > dateFile) or (endDate < dateFile): | |||
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152 | continue | |||
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153 | ||||
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154 | self.fileList.append(thisFile) | |||
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155 | self.dateFileList.append(dateFile) | |||
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156 | ||||
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157 | return | |||
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158 | ||||
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159 | def setNextFile(self): | |||
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160 | ||||
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161 | file_id = self.fileIndex | |||
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162 | ||||
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163 | if file_id == len(self.fileList): | |||
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164 | log.success('No more files in the folder', self.name) | |||
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165 | self.flagNoMoreFiles = 1 | |||
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166 | return 0 | |||
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167 | ||||
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168 | log.success('Opening {}'.format(self.fileList[file_id]), self.name) | |||
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169 | filename = os.path.join(self.path, self.fileList[file_id]) | |||
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170 | ||||
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171 | dirname, name = os.path.split(filename) | |||
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172 | self.siteFile = name.split('.')[0] | |||
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173 | if self.filename is not None: | |||
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174 | self.fp.close() | |||
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175 | self.filename = filename | |||
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176 | self.fp = open(self.filename, 'rb') | |||
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177 | self.t0 = [7, 0, 0] | |||
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178 | self.tf = [18, 0, 0] | |||
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179 | ||||
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180 | self.header_file = numpy.fromfile(self.fp, FILE_HEADER_STRUCTURE, 1) | |||
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181 | yy = self.header_file['year'] - 1900 * (self.header_file['year'] > 3000) | |||
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182 | self.year = int(yy + 1900 * (yy < 1000)) | |||
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183 | self.doy = int(self.header_file['doy']) | |||
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184 | self.H0 = self.clockpulse*numpy.round(self.header_file['fh']/self.clockpulse) | |||
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185 | self.dH = self.clockpulse*numpy.round(self.header_file['dh']/self.clockpulse) | |||
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186 | self.ipp = self.clockpulse*numpy.round(self.header_file['ipp']/self.clockpulse) | |||
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187 | ||||
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188 | tau = self.ipp / 1.5E5 | |||
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189 | ||||
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190 | self.nheights = int(self.header_file['nheights']) | |||
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191 | self.heights = numpy.arange(self.nheights) * self.dH + self.H0 | |||
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192 | ||||
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193 | self.sizeOfFile = os.path.getsize(self.filename) | |||
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194 | self.counter_records = 0 | |||
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195 | self.flagIsNewFile = 0 | |||
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196 | self.fileIndex += 1 | |||
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197 | ||||
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198 | return 1 | |||
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199 | ||||
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200 | def readNextBlock(self): | |||
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201 | ||||
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202 | while True: | |||
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203 | if self.fp.tell() == self.sizeOfFile: | |||
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204 | self.flagIsNewFile = 1 | |||
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205 | if not self.setNextFile(): | |||
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206 | return 0 | |||
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207 | ||||
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208 | self.readBlock() | |||
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209 | ||||
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210 | if (self.datatime < datetime.datetime.combine(self.startDate, self.startTime)) or \ | |||
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211 | (self.datatime > datetime.datetime.combine(self.endDate, self.endTime)): | |||
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212 | log.warning( | |||
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213 | 'Reading Record No. {} -> {} [Skipping]'.format( | |||
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214 | self.counter_records, | |||
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215 | self.datatime.ctime()), | |||
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216 | self.name) | |||
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217 | continue | |||
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218 | break | |||
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219 | ||||
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220 | log.log('Reading Record No. {} -> {}'.format( | |||
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221 | self.counter_records, | |||
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222 | self.datatime.ctime()), self.name) | |||
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223 | ||||
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224 | return 1 | |||
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225 | ||||
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226 | def readBlock(self): | |||
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227 | ||||
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228 | header_rec = numpy.fromfile(self.fp, REC_HEADER_STRUCTURE, 1) | |||
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229 | self.timedelta = header_rec['timedelta'] | |||
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230 | if header_rec['magic'] == 888.: | |||
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231 | h0 = self.clockpulse * numpy.round(header_rec['h0'] / self.clockpulse) | |||
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232 | nheights = int(header_rec['nheights']) | |||
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233 | hours = float(header_rec['hours'][0]) | |||
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234 | self.datatime = datetime.datetime(self.year, 1, 1) + datetime.timedelta(days=self.doy-1, hours=hours) | |||
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235 | self.time = (self.datatime - datetime.datetime(1970,1,1)).total_seconds() | |||
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236 | ||||
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237 | buffer = numpy.fromfile(self.fp, 'f', 8*nheights).reshape(nheights, 8) | |||
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238 | idh0 = int(numpy.round((self.H0 - h0) / self.dH)) | |||
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239 | if idh0 == 0 and buffer[0,0] > 1E8: | |||
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240 | buffer[0,0] = buffer[1,0] | |||
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241 | ||||
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242 | pow0 = buffer[:, 0] | |||
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243 | pow1 = buffer[:, 1] | |||
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244 | acf0 = (buffer[:,2] + buffer[:,3]*1j) / pow0 | |||
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245 | acf1 = (buffer[:,4] + buffer[:,5]*1j) / pow1 | |||
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246 | dccf = (buffer[:,6] + buffer[:,7]*1j) / (pow0*pow1) | |||
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247 | ||||
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248 | ### SNR | |||
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249 | sno = (pow0 + pow1 - header_rec['snr']) / header_rec['snr'] | |||
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250 | sno10 = numpy.log10(sno) | |||
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251 | dsno = 1.0 / numpy.sqrt(self.header_file['nint'] * self.header_file['navg']) * (1 + (1 / sno)) | |||
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252 | ||||
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253 | ### Vertical Drift | |||
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254 | sp = numpy.sqrt(numpy.abs(acf0)*numpy.abs(acf1)) | |||
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255 | sp[numpy.where(numpy.abs(sp) >= 1.0)] = numpy.sqrt(0.9999) | |||
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256 | ||||
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257 | vzo = -numpy.arctan2(acf0.imag + acf1.imag,acf0.real + acf1.real)*1.5E5*1.5/(self.ipp*numpy.pi) | |||
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258 | dvzo = numpy.sqrt(1.0 - sp*sp)*0.338*1.5E5/(numpy.sqrt(self.header_file['nint']*self.header_file['navg'])*sp*self.ipp) | |||
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259 | err = numpy.where(dvzo <= 0.1) | |||
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260 | dvzo[err] = 0.1 | |||
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261 | ||||
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262 | #Zonal Drifts | |||
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263 | dt = self.header_file['nint']*self.ipp / 1.5E5 | |||
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264 | coh = numpy.sqrt(numpy.abs(dccf)) | |||
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265 | err = numpy.where(coh >= 1.0) | |||
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266 | coh[err] = numpy.sqrt(0.99999) | |||
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267 | ||||
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268 | err = numpy.where(coh <= 0.1) | |||
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269 | coh[err] = numpy.sqrt(0.1) | |||
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270 | ||||
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271 | vxo = numpy.arctan2(dccf.imag, dccf.real)*self.heights[idh0]*1.0E3/(self.kd*dt) | |||
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272 | dvxo = numpy.sqrt(1.0 - coh*coh)*self.heights[idh0]*1.0E3/(numpy.sqrt(self.header_file['nint']*self.header_file['navg'])*coh*self.kd*dt) | |||
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273 | ||||
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274 | err = numpy.where(dvxo <= 0.1) | |||
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275 | dvxo[err] = 0.1 | |||
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276 | ||||
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277 | N = range(len(pow0)) | |||
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278 | ||||
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279 | self.buffer = numpy.zeros((6, self.nheights)) + numpy.nan | |||
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280 | ||||
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281 | self.buffer[0, idh0+numpy.array(N)] = sno10 | |||
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282 | self.buffer[1, idh0+numpy.array(N)] = vzo | |||
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283 | self.buffer[2, idh0+numpy.array(N)] = vxo | |||
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284 | self.buffer[3, idh0+numpy.array(N)] = dvzo | |||
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285 | self.buffer[4, idh0+numpy.array(N)] = dvxo | |||
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286 | self.buffer[5, idh0+numpy.array(N)] = dsno | |||
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287 | ||||
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288 | self.counter_records += 1 | |||
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289 | ||||
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290 | return | |||
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291 | ||||
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292 | def readHeader(self): | |||
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293 | ''' | |||
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294 | RecordHeader of BLTR rawdata file | |||
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295 | ''' | |||
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296 | ||||
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297 | header_structure = numpy.dtype( | |||
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298 | REC_HEADER_STRUCTURE.descr + [ | |||
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299 | ('antenna_coord', 'f4', (2, self.nchannels)), | |||
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300 | ('rx_gains', 'u4', (self.nchannels,)), | |||
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301 | ('rx_analysis', 'u4', (self.nchannels,)) | |||
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302 | ] | |||
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303 | ) | |||
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304 | ||||
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305 | self.header_rec = numpy.fromfile(self.fp, header_structure, 1) | |||
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306 | self.lat = self.header_rec['lat'][0] | |||
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307 | self.lon = self.header_rec['lon'][0] | |||
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308 | self.delta = self.header_rec['delta_r'][0] | |||
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309 | self.correction = self.header_rec['dmode_rngcorr'][0] | |||
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310 | self.imode = self.header_rec['dmode_index'][0] | |||
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311 | self.antenna = self.header_rec['antenna_coord'] | |||
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312 | self.rx_gains = self.header_rec['rx_gains'] | |||
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313 | self.time = self.header_rec['time'][0] | |||
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314 | dt = datetime.datetime.utcfromtimestamp(self.time) | |||
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315 | if dt.date()>self.datatime.date(): | |||
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316 | self.flagDiscontinuousBlock = 1 | |||
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317 | self.datatime = dt | |||
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318 | ||||
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319 | def readData(self): | |||
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320 | ''' | |||
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321 | Reading and filtering data block record of BLTR rawdata file, filtering is according to status_value. | |||
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322 | ||||
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323 | Input: | |||
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324 | status_value - Array data is set to NAN for values that are not equal to status_value | |||
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325 | ||||
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326 | ''' | |||
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327 | ||||
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328 | data_structure = numpy.dtype( | |||
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329 | DATA_STRUCTURE.descr + [ | |||
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330 | ('rx_saturation', 'u4', (self.nchannels,)), | |||
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331 | ('chan_offset', 'u4', (2 * self.nchannels,)), | |||
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332 | ('rx_amp', 'u4', (self.nchannels,)), | |||
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333 | ('rx_snr', 'f4', (self.nchannels,)), | |||
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334 | ('cross_snr', 'f4', (self.kchan,)), | |||
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335 | ('sea_power_relative', 'f4', (self.kchan,))] | |||
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336 | ) | |||
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337 | ||||
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338 | data = numpy.fromfile(self.fp, data_structure, self.nranges) | |||
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339 | ||||
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340 | height = data['range'] | |||
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341 | winds = numpy.array( | |||
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342 | (data['zonal'], data['meridional'], data['vertical'])) | |||
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343 | snr = data['rx_snr'].T | |||
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344 | ||||
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345 | winds[numpy.where(winds == -9999.)] = numpy.nan | |||
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346 | winds[:, numpy.where(data['status'] != self.status_value)] = numpy.nan | |||
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347 | snr[numpy.where(snr == -9999.)] = numpy.nan | |||
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348 | snr[:, numpy.where(data['status'] != self.status_value)] = numpy.nan | |||
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349 | snr = numpy.power(10, snr / 10) | |||
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350 | ||||
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351 | return height, winds, snr | |||
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352 | ||||
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353 | def set_output(self): | |||
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354 | ''' | |||
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355 | Storing data from databuffer to dataOut object | |||
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356 | ''' | |||
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357 | ||||
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358 | self.dataOut.data_SNR = self.buffer[0] | |||
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359 | self.dataOut.heights = self.heights | |||
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360 | self.dataOut.data_param = self.buffer[1:,] | |||
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361 | self.dataOut.utctimeInit = self.time | |||
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362 | self.dataOut.utctime = self.dataOut.utctimeInit | |||
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363 | self.dataOut.useLocalTime = False | |||
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364 | self.dataOut.paramInterval = self.timedelta | |||
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365 | self.dataOut.timezone = self.timezone | |||
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366 | self.dataOut.sizeOfFile = self.sizeOfFile | |||
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367 | self.dataOut.flagNoData = False | |||
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368 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock | |||
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369 | ||||
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370 | def getData(self): | |||
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371 | ''' | |||
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372 | Storing data from databuffer to dataOut object | |||
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373 | ''' | |||
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374 | if self.flagNoMoreFiles: | |||
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375 | self.dataOut.flagNoData = True | |||
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376 | log.success('No file left to process', self.name) | |||
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377 | return 0 | |||
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378 | ||||
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379 | if not self.readNextBlock(): | |||
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380 | self.dataOut.flagNoData = True | |||
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381 | return 0 | |||
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382 | ||||
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383 | self.set_output() | |||
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384 | ||||
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385 | return 1 |
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