@@ -1,739 +1,748 | |||
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1 | 1 | from email.utils import localtime |
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2 | 2 | import os |
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3 | 3 | import time |
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4 | 4 | import datetime |
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5 | 5 | |
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6 | 6 | import numpy |
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7 | 7 | import h5py |
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8 | 8 | |
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9 | 9 | import schainpy.admin |
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10 | 10 | from schainpy.model.data.jrodata import * |
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11 | 11 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
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12 | 12 | from schainpy.model.io.jroIO_base import * |
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13 | 13 | from schainpy.utils import log |
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14 | 14 | |
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15 | 15 | |
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16 | 16 | class HDFReader(Reader, ProcessingUnit): |
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17 | 17 | """Processing unit to read HDF5 format files |
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18 | 18 | |
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19 | 19 | This unit reads HDF5 files created with `HDFWriter` operation contains |
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20 | 20 | by default two groups Data and Metadata all variables would be saved as `dataOut` |
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21 | 21 | attributes. |
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22 | 22 | It is possible to read any HDF5 file by given the structure in the `description` |
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23 | 23 | parameter, also you can add extra values to metadata with the parameter `extras`. |
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24 | 24 | |
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25 | 25 | Parameters: |
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26 | 26 | ----------- |
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27 | 27 | path : str |
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28 | 28 | Path where files are located. |
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29 | 29 | startDate : date |
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30 | 30 | Start date of the files |
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31 | 31 | endDate : list |
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32 | 32 | End date of the files |
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33 | 33 | startTime : time |
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34 | 34 | Start time of the files |
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35 | 35 | endTime : time |
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36 | 36 | End time of the files |
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37 | 37 | description : dict, optional |
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38 | 38 | Dictionary with the description of the HDF5 file |
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39 | 39 | extras : dict, optional |
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40 | 40 | Dictionary with extra metadata to be be added to `dataOut` |
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41 | 41 | |
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42 | 42 | Examples |
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43 | 43 | -------- |
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44 | 44 | |
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45 | 45 | desc = { |
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46 | 46 | 'Data': { |
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47 | 47 | 'data_output': ['u', 'v', 'w'], |
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48 | 48 | 'utctime': 'timestamps', |
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49 | 49 | } , |
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50 | 50 | 'Metadata': { |
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51 | 51 | 'heightList': 'heights' |
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52 | 52 | } |
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53 | 53 | } |
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54 | 54 | |
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55 | 55 | desc = { |
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56 | 56 | 'Data': { |
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57 | 57 | 'data_output': 'winds', |
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58 | 58 | 'utctime': 'timestamps' |
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59 | 59 | }, |
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60 | 60 | 'Metadata': { |
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61 | 61 | 'heightList': 'heights' |
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62 | 62 | } |
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63 | 63 | } |
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64 | 64 | |
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65 | 65 | extras = { |
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66 | 66 | 'timeZone': 300 |
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67 | 67 | } |
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68 | 68 | |
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69 | 69 | reader = project.addReadUnit( |
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70 | 70 | name='HDFReader', |
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71 | 71 | path='/path/to/files', |
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72 | 72 | startDate='2019/01/01', |
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73 | 73 | endDate='2019/01/31', |
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74 | 74 | startTime='00:00:00', |
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75 | 75 | endTime='23:59:59', |
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76 | 76 | # description=json.dumps(desc), |
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77 | 77 | # extras=json.dumps(extras), |
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78 | 78 | ) |
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79 | 79 | |
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80 | 80 | """ |
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81 | 81 | |
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82 | 82 | __attrs__ = ['path', 'startDate', 'endDate', 'startTime', 'endTime', 'description', 'extras'] |
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83 | 83 | |
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84 | 84 | def __init__(self): |
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85 | 85 | ProcessingUnit.__init__(self) |
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86 | 86 | self.dataOut = Parameters() |
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87 | 87 | self.ext = ".hdf5" |
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88 | 88 | self.optchar = "D" |
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89 | 89 | self.meta = {} |
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90 | 90 | self.data = {} |
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91 | 91 | self.open_file = h5py.File |
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92 | 92 | self.open_mode = 'r' |
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93 | 93 | self.description = {} |
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94 | 94 | self.extras = {} |
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95 | 95 | self.filefmt = "*%Y%j***" |
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96 | 96 | self.folderfmt = "*%Y%j" |
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97 | 97 | self.utcoffset = 0 |
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98 | 98 | self.filter = None |
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99 | 99 | self.dparam = None |
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100 | 100 | |
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101 | 101 | def setup(self, **kwargs): |
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102 | 102 | |
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103 | 103 | self.set_kwargs(**kwargs) |
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104 | 104 | if not self.ext.startswith('.'): |
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105 | 105 | self.ext = '.{}'.format(self.ext) |
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106 | 106 | |
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107 | 107 | if self.online: |
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108 | 108 | log.log("Searching files in online mode...", self.name) |
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109 | 109 | |
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110 | 110 | for nTries in range(self.nTries): |
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111 | 111 | fullpath = self.searchFilesOnLine(self.path, self.startDate, |
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112 | 112 | self.endDate, self.expLabel, self.ext, self.walk, |
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113 | 113 | self.filefmt, self.folderfmt,self.filter) |
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114 | 114 | try: |
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115 | 115 | fullpath = next(fullpath) |
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116 | 116 | except: |
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117 | 117 | fullpath = None |
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118 | 118 | |
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119 | 119 | if fullpath: |
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120 | 120 | break |
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121 | 121 | |
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122 | 122 | log.warning( |
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123 | 123 | 'Waiting {} sec for a valid file in {}: try {} ...'.format( |
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124 | 124 | self.delay, self.path, nTries + 1), |
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125 | 125 | self.name) |
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126 | 126 | time.sleep(self.delay) |
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127 | 127 | |
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128 | 128 | if not(fullpath): |
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129 | 129 | raise schainpy.admin.SchainError( |
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130 | 130 | 'There isn\'t any valid file in {}'.format(self.path)) |
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131 | 131 | |
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132 | 132 | pathname, filename = os.path.split(fullpath) |
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133 | 133 | self.year = int(filename[1:5]) |
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134 | 134 | self.doy = int(filename[5:8]) |
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135 | 135 | self.set = int(filename[8:11]) - 1 |
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136 | 136 | else: |
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137 | 137 | log.log("Searching files in {}".format(self.path), self.name) |
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138 | 138 | self.filenameList = self.searchFilesOffLine(self.path, self.startDate, |
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139 | 139 | self.endDate, self.expLabel, self.ext, self.walk, self.filefmt, self.folderfmt,self.filter) |
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140 | 140 | |
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141 | 141 | self.setNextFile() |
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142 | 142 | |
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143 | 143 | return |
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144 | 144 | |
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145 | 145 | def readFirstHeader(self): |
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146 | 146 | '''Read metadata and data''' |
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147 | 147 | |
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148 | 148 | self.__readMetadata() |
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149 | 149 | self.__readData() |
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150 | 150 | self.__setBlockList() |
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151 | 151 | |
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152 | 152 | if 'type' in self.meta: |
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153 | 153 | self.dataOut = eval(self.meta['type'])() |
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154 | 154 | |
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155 | 155 | if self.dparam: |
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156 | 156 | setattr(self.dataOut, "dparam", 1) |
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157 | 157 | |
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158 | 158 | for attr in self.meta: |
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159 | 159 | setattr(self.dataOut, attr, self.meta[attr]) |
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160 | 160 | |
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161 | 161 | self.blockIndex = 0 |
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162 | 162 | |
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163 | 163 | return |
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164 | 164 | |
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165 | 165 | def __setBlockList(self): |
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166 | 166 | ''' |
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167 | 167 | Selects the data within the times defined |
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168 | 168 | |
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169 | 169 | self.fp |
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170 | 170 | self.startTime |
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171 | 171 | self.endTime |
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172 | 172 | self.blockList |
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173 | 173 | self.blocksPerFile |
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174 | 174 | |
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175 | 175 | ''' |
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176 | 176 | |
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177 | 177 | startTime = self.startTime |
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178 | 178 | endTime = self.endTime |
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179 | 179 | thisUtcTime = self.data['utctime'] + self.utcoffset |
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180 | 180 | try: |
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181 | 181 | self.interval = numpy.min(thisUtcTime[1:] - thisUtcTime[:-1]) |
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182 | 182 | except: |
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183 | 183 | self.interval = 0 |
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184 | 184 | thisDatetime = datetime.datetime.utcfromtimestamp(thisUtcTime[0]) |
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185 | 185 | |
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186 | 186 | thisDate = thisDatetime.date() |
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187 | 187 | thisTime = thisDatetime.time() |
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188 | 188 | |
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189 | 189 | startUtcTime = (datetime.datetime.combine(thisDate, startTime) - datetime.datetime(1970, 1, 1)).total_seconds() |
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190 | 190 | endUtcTime = (datetime.datetime.combine(thisDate, endTime) - datetime.datetime(1970, 1, 1)).total_seconds() |
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191 | 191 | |
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192 | 192 | ind = numpy.where(numpy.logical_and(thisUtcTime >= startUtcTime, thisUtcTime < endUtcTime))[0] |
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193 | 193 | |
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194 | 194 | self.blockList = ind |
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195 | 195 | self.blocksPerFile = len(ind) |
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196 | 196 | return |
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197 | 197 | |
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198 | 198 | def __readMetadata(self): |
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199 | 199 | ''' |
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200 | 200 | Reads Metadata |
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201 | 201 | ''' |
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202 | 202 | |
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203 | 203 | meta = {} |
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204 | 204 | |
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205 | 205 | if self.description: |
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206 | 206 | for key, value in self.description['Metadata'].items(): |
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207 | 207 | meta[key] = self.fp[value][()] |
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208 | 208 | else: |
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209 | 209 | grp = self.fp['Metadata'] |
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210 | 210 | for name in grp: |
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211 | 211 | meta[name] = grp[name][()] |
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212 | 212 | |
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213 | 213 | if self.extras: |
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214 | 214 | for key, value in self.extras.items(): |
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215 | 215 | meta[key] = value |
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216 | 216 | self.meta = meta |
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217 | 217 | |
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218 | 218 | return |
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219 | 219 | |
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220 | 220 | def __readData(self): |
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221 | 221 | |
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222 | 222 | data = {} |
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223 | 223 | |
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224 | 224 | if self.description: |
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225 | 225 | for key, value in self.description['Data'].items(): |
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226 | 226 | if isinstance(value, str): |
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227 | 227 | if isinstance(self.fp[value], h5py.Dataset): |
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228 | 228 | data[key] = self.fp[value][()] |
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229 | 229 | elif isinstance(self.fp[value], h5py.Group): |
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230 | 230 | array = [] |
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231 | 231 | for ch in self.fp[value]: |
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232 | 232 | array.append(self.fp[value][ch][()]) |
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233 | 233 | data[key] = numpy.array(array) |
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234 | 234 | elif isinstance(value, list): |
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235 | 235 | array = [] |
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236 | 236 | for ch in value: |
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237 | 237 | array.append(self.fp[ch][()]) |
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238 | 238 | data[key] = numpy.array(array) |
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239 | 239 | else: |
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240 | 240 | grp = self.fp['Data'] |
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241 | 241 | for name in grp: |
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242 | 242 | if isinstance(grp[name], h5py.Dataset): |
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243 | 243 | array = grp[name][()] |
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244 | 244 | elif isinstance(grp[name], h5py.Group): |
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245 | 245 | array = [] |
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246 | 246 | for ch in grp[name]: |
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247 | 247 | array.append(grp[name][ch][()]) |
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248 | 248 | array = numpy.array(array) |
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249 | 249 | else: |
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250 | 250 | log.warning('Unknown type: {}'.format(name)) |
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251 | 251 | |
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252 | 252 | if name in self.description: |
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253 | 253 | key = self.description[name] |
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254 | 254 | else: |
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255 | 255 | key = name |
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256 | 256 | data[key] = array |
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257 | 257 | |
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258 | 258 | self.data = data |
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259 | 259 | return |
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260 | 260 | |
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261 | 261 | def getData(self): |
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262 | 262 | |
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263 | 263 | for attr in self.data: |
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264 | 264 | if self.data[attr].ndim == 1: |
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265 | 265 | setattr(self.dataOut, attr, self.data[attr][self.blockIndex]) |
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266 | 266 | else: |
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267 | 267 | if self.dparam: |
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268 | 268 | setattr(self.dataOut, attr, self.data[attr]) |
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269 | 269 | else: |
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270 | 270 | setattr(self.dataOut, attr, self.data[attr][:, self.blockIndex]) |
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271 | 271 | |
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272 | 272 | self.dataOut.flagNoData = False |
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273 | 273 | self.blockIndex += 1 |
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274 | 274 | |
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275 | 275 | log.log("Block No. {}/{} -> {}".format( |
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276 | 276 | self.blockIndex, |
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277 | 277 | self.blocksPerFile, |
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278 | 278 | self.dataOut.datatime.ctime()), self.name) |
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279 | 279 | |
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280 | 280 | return |
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281 | 281 | |
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282 | 282 | def run(self, **kwargs): |
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283 | 283 | |
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284 | 284 | if not(self.isConfig): |
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285 | 285 | self.setup(**kwargs) |
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286 | 286 | self.isConfig = True |
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287 | 287 | |
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288 | 288 | if self.blockIndex == self.blocksPerFile: |
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289 | 289 | self.setNextFile() |
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290 | 290 | |
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291 | 291 | self.getData() |
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292 | 292 | |
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293 | 293 | return |
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294 | 294 | |
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295 | 295 | @MPDecorator |
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296 | 296 | class HDFWriter(Operation): |
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297 | 297 | """Operation to write HDF5 files. |
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298 | 298 | |
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299 | 299 | The HDF5 file contains by default two groups Data and Metadata where |
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300 | 300 | you can save any `dataOut` attribute specified by `dataList` and `metadataList` |
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301 | 301 | parameters, data attributes are normaly time dependent where the metadata |
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302 | 302 | are not. |
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303 | 303 | It is possible to customize the structure of the HDF5 file with the |
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304 | 304 | optional description parameter see the examples. |
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305 | 305 | |
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306 | 306 | Parameters: |
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307 | 307 | ----------- |
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308 | 308 | path : str |
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309 | 309 | Path where files will be saved. |
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310 | 310 | blocksPerFile : int |
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311 | 311 | Number of blocks per file |
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312 | 312 | metadataList : list |
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313 | 313 | List of the dataOut attributes that will be saved as metadata |
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314 | 314 | dataList : int |
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315 | 315 | List of the dataOut attributes that will be saved as data |
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316 | 316 | setType : bool |
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317 | 317 | If True the name of the files corresponds to the timestamp of the data |
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318 | 318 | description : dict, optional |
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319 | 319 | Dictionary with the desired description of the HDF5 file |
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320 | 320 | |
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321 | 321 | Examples |
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322 | 322 | -------- |
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323 | 323 | |
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324 | 324 | desc = { |
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325 | 325 | 'data_output': {'winds': ['z', 'w', 'v']}, |
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326 | 326 | 'utctime': 'timestamps', |
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327 | 327 | 'heightList': 'heights' |
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328 | 328 | } |
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329 | 329 | desc = { |
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330 | 330 | 'data_output': ['z', 'w', 'v'], |
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331 | 331 | 'utctime': 'timestamps', |
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332 | 332 | 'heightList': 'heights' |
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333 | 333 | } |
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334 | 334 | desc = { |
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335 | 335 | 'Data': { |
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336 | 336 | 'data_output': 'winds', |
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337 | 337 | 'utctime': 'timestamps' |
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338 | 338 | }, |
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339 | 339 | 'Metadata': { |
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340 | 340 | 'heightList': 'heights' |
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341 | 341 | } |
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342 | 342 | } |
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343 | 343 | |
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344 | 344 | writer = proc_unit.addOperation(name='HDFWriter') |
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345 | 345 | writer.addParameter(name='path', value='/path/to/file') |
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346 | 346 | writer.addParameter(name='blocksPerFile', value='32') |
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347 | 347 | writer.addParameter(name='metadataList', value='heightList,timeZone') |
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348 | 348 | writer.addParameter(name='dataList',value='data_output,utctime') |
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349 | 349 | # writer.addParameter(name='description',value=json.dumps(desc)) |
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350 | 350 | |
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351 | 351 | """ |
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352 | 352 | |
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353 | ext = ".hdf5" | |
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354 | optchar = "D" | |
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355 | filename = None | |
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356 | path = None | |
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357 | setFile = None | |
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358 | fp = None | |
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359 | firsttime = True | |
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353 | ext = ".hdf5" | |
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354 | optchar = "D" | |
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355 | filename = None | |
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356 | path = None | |
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357 | setFile = None | |
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358 | fp = None | |
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359 | firsttime = True | |
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360 | 360 | #Configurations |
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361 | 361 | blocksPerFile = None |
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362 | blockIndex = None | |
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363 | dataOut = None | |
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362 | blockIndex = None | |
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363 | dataOut = None | |
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364 | 364 | #Data Arrays |
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365 | 365 | dataList = None |
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366 | 366 | metadataList = None |
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367 | currentDay = None | |
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368 | lastTime = None | |
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369 | last_Azipos = None | |
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370 | last_Elepos = None | |
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371 | mode = None | |
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367 | currentDay = None | |
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368 | lastTime = None | |
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369 | last_Azipos = None | |
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370 | last_Elepos = None | |
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371 | mode = None | |
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372 | 372 | #----------------------- |
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373 | Typename = None | |
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374 | mask = False | |
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373 | Typename = None | |
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374 | mask = False | |
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375 | setChannel = None | |
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375 | 376 | |
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376 | 377 | def __init__(self): |
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377 | 378 | |
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378 | 379 | Operation.__init__(self) |
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379 | 380 | return |
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380 | 381 | |
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381 | 382 | def set_kwargs(self, **kwargs): |
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382 | 383 | |
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383 | 384 | for key, value in kwargs.items(): |
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384 | 385 | setattr(self, key, value) |
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385 | 386 | |
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386 | 387 | def set_kwargs_obj(self,obj, **kwargs): |
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387 | 388 | |
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388 | 389 | for key, value in kwargs.items(): |
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389 | 390 | setattr(obj, key, value) |
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390 | 391 | |
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391 | def setup(self, path=None, blocksPerFile=10, metadataList=None, dataList=None, setType=None, description=None,type_data=None, localtime=True, **kwargs): | |
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392 | def setup(self, path=None, blocksPerFile=10, metadataList=None, dataList=None, setType=None, description=None,type_data=None, localtime=True,setChannel=None, **kwargs): | |
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392 | 393 | self.path = path |
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393 | 394 | self.blocksPerFile = blocksPerFile |
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394 | self.metadataList = metadataList | |
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395 | self.dataList = [s.strip() for s in dataList] | |
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395 | self.metadataList = metadataList | |
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396 | self.dataList = [s.strip() for s in dataList] | |
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397 | self.setChannel = setChannel | |
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396 | 398 | self.setType = setType |
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397 | 399 | if self.setType == "weather": |
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398 | 400 | self.set_kwargs(**kwargs) |
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399 | 401 | self.set_kwargs_obj(self.dataOut,**kwargs) |
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400 | 402 | self.weather_vars = { |
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401 | 403 | 'S' : 0, |
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402 | 404 | 'V' : 1, |
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403 | 405 | 'W' : 2, |
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404 | 406 | 'SNR' : 3, |
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405 | 407 | 'Z' : 4, |
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406 | 408 | 'D' : 5, |
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407 | 409 | 'P' : 6, |
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408 | 410 | 'R' : 7, |
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409 | 411 | } |
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410 | 412 | |
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411 | 413 | if localtime: |
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412 | 414 | self.getDateTime = datetime.datetime.fromtimestamp |
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413 | 415 | else: |
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414 | 416 | self.getDateTime = datetime.datetime.utcfromtimestamp |
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415 | 417 | |
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416 | 418 | self.description = description |
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417 | 419 | self.type_data=type_data |
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418 | 420 | |
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419 | 421 | if self.metadataList is None: |
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420 | 422 | self.metadataList = self.dataOut.metadata_list |
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421 | 423 | |
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422 | 424 | dsList = [] |
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423 | 425 | |
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424 | 426 | for i in range(len(self.dataList)): |
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425 | 427 | dsDict = {} |
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426 | 428 | if hasattr(self.dataOut, self.dataList[i]): |
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427 | 429 | dataAux = getattr(self.dataOut, self.dataList[i]) |
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428 | 430 | if self.setType == 'weather' and self.dataList[i] == 'data_param': |
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429 | dataAux = dataAux[:,self.weather_vars[self.weather_var],:] | |
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431 | if self.setChannel is None: | |
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432 | dataAux = dataAux[:,self.weather_vars[self.weather_var],:] | |
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433 | else: | |
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434 | dataAux = dataAux[self.setChannel,self.weather_vars[self.weather_var],:] | |
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435 | dataAux = numpy.reshape(dataAux,(1,dataAux.shape[0],dataAux.shape[1])) | |
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430 | 436 | dsDict['variable'] = self.dataList[i] |
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431 | 437 | else: |
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432 | 438 | log.warning('Attribute {} not found in dataOut'.format(self.dataList[i]), self.name) |
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433 | 439 | continue |
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434 | 440 | |
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435 | 441 | if dataAux is None: |
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436 | 442 | continue |
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437 | 443 | elif isinstance(dataAux, (int, float, numpy.integer, numpy.float)): |
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438 | 444 | dsDict['nDim'] = 0 |
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439 | 445 | else: |
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440 | 446 | dsDict['nDim'] = len(dataAux.shape) |
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441 | 447 | dsDict['shape'] = dataAux.shape |
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442 | 448 | dsDict['dsNumber'] = dataAux.shape[0] |
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443 | 449 | dsDict['dtype'] = dataAux.dtype |
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444 | 450 | dsList.append(dsDict) |
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445 | 451 | |
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446 | 452 | self.dsList = dsList |
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447 | 453 | self.currentDay = self.dataOut.datatime.date() |
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448 | 454 | |
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449 | 455 | def timeFlag(self): |
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450 | 456 | currentTime = self.dataOut.utctime |
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451 | 457 | dt = self.getDateTime(currentTime) |
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452 | 458 | |
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453 | 459 | dataDay = int(dt.strftime('%j')) |
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454 | 460 | |
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455 | 461 | if self.lastTime is None: |
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456 | 462 | self.lastTime = currentTime |
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457 | 463 | self.currentDay = dataDay |
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458 | 464 | return False |
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459 | 465 | |
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460 | 466 | timeDiff = currentTime - self.lastTime |
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461 | 467 | |
|
462 | 468 | #Si el dia es diferente o si la diferencia entre un dato y otro supera la hora |
|
463 | 469 | if dataDay != self.currentDay: |
|
464 | 470 | self.currentDay = dataDay |
|
465 | 471 | return True |
|
466 | 472 | elif timeDiff > 3*60*60: |
|
467 | 473 | self.lastTime = currentTime |
|
468 | 474 | return True |
|
469 | 475 | else: |
|
470 | 476 | self.lastTime = currentTime |
|
471 | 477 | return False |
|
472 | 478 | |
|
473 | 479 | def run(self, dataOut, path, blocksPerFile=10, metadataList=None, |
|
474 | 480 | dataList=[], setType=None, description={}, mode= None, |
|
475 | 481 | type_data=None, Reset = False, localtime=True, **kwargs): |
|
476 | 482 | |
|
477 | 483 | if Reset: |
|
478 | 484 | self.isConfig = False |
|
479 | 485 | self.closeFile() |
|
480 | 486 | self.lastTime = None |
|
481 | 487 | self.blockIndex = 0 |
|
482 | 488 | |
|
483 | 489 | self.dataOut = dataOut |
|
484 | 490 | self.mode = mode |
|
485 | 491 | |
|
486 | 492 | if not(self.isConfig): |
|
487 | 493 | self.setup(path=path, blocksPerFile=blocksPerFile, |
|
488 | 494 | metadataList=metadataList, dataList=dataList, |
|
489 | 495 | setType=setType, description=description,type_data=type_data, |
|
490 | 496 | localtime=localtime, **kwargs) |
|
491 | 497 | |
|
492 | 498 | self.isConfig = True |
|
493 | 499 | self.setNextFile() |
|
494 | 500 | |
|
495 | 501 | self.putData() |
|
496 | 502 | return |
|
497 | 503 | |
|
498 | 504 | def setNextFile(self): |
|
499 | 505 | |
|
500 | 506 | ext = self.ext |
|
501 | 507 | path = self.path |
|
502 | 508 | setFile = self.setFile |
|
503 | 509 | |
|
504 | 510 | dt = self.getDateTime(self.dataOut.utctime) |
|
505 | 511 | |
|
506 | 512 | if self.setType == 'weather': |
|
507 | 513 | subfolder = dt.strftime('%Y-%m-%dT%H-00-00') |
|
508 | 514 | subfolder = '' |
|
509 | 515 | else: |
|
510 | 516 | subfolder = dt.strftime('d%Y%j') |
|
511 | 517 | |
|
512 | 518 | fullpath = os.path.join(path, subfolder) |
|
513 | 519 | |
|
514 | 520 | if os.path.exists(fullpath): |
|
515 | 521 | filesList = os.listdir(fullpath) |
|
516 | 522 | filesList = [k for k in filesList if k.startswith(self.optchar)] |
|
517 | 523 | if len( filesList ) > 0: |
|
518 | 524 | filesList = sorted(filesList, key=str.lower) |
|
519 | 525 | filen = filesList[-1] |
|
520 | 526 | # el filename debera tener el siguiente formato |
|
521 | 527 | # 0 1234 567 89A BCDE (hex) |
|
522 | 528 | # x YYYY DDD SSS .ext |
|
523 | 529 | if isNumber(filen[8:11]): |
|
524 | 530 | setFile = int(filen[8:11]) #inicializo mi contador de seteo al seteo del ultimo file |
|
525 | 531 | else: |
|
526 | 532 | setFile = -1 |
|
527 | 533 | else: |
|
528 | 534 | setFile = -1 #inicializo mi contador de seteo |
|
529 | 535 | else: |
|
530 | 536 | os.makedirs(fullpath) |
|
531 | 537 | setFile = -1 #inicializo mi contador de seteo |
|
532 | 538 | |
|
533 | 539 | if self.setType is None: |
|
534 | 540 | setFile += 1 |
|
535 | 541 | file = '%s%4.4d%3.3d%03d%s' % (self.optchar, |
|
536 | 542 | dt.year, |
|
537 | 543 | int(dt.strftime('%j')), |
|
538 | 544 | setFile, |
|
539 | 545 | ext ) |
|
540 | 546 | elif self.setType == "weather": |
|
541 | 547 | |
|
542 | 548 | #SOPHY_20200505_140215_E10.0_Z.h5 |
|
543 | 549 | #SOPHY_20200505_140215_A40.0_Z.h5 |
|
544 | 550 | if self.dataOut.flagMode == 1: #'AZI' #PPI |
|
545 | 551 | ang_type = 'EL' |
|
546 | 552 | mode_type = 'PPI' |
|
547 | 553 | len_aux = int(self.dataOut.data_ele.shape[0]/4) |
|
548 | 554 | mean = numpy.mean(self.dataOut.data_ele[len_aux:-len_aux]) |
|
549 | 555 | ang_ = round(mean,1) |
|
550 | 556 | elif self.dataOut.flagMode == 0: #'ELE' #RHI |
|
551 | 557 | ang_type = 'AZ' |
|
552 | 558 | mode_type = 'RHI' |
|
553 | 559 | len_aux = int(self.dataOut.data_azi.shape[0]/4) |
|
554 | 560 | mean = numpy.mean(self.dataOut.data_azi[len_aux:-len_aux]) |
|
555 | 561 | ang_ = round(mean,1) |
|
556 | 562 | |
|
557 | 563 | file = '%s_%2.2d%2.2d%2.2d_%2.2d%2.2d%2.2d_%s%2.1f_%s%s' % ( |
|
558 | 564 | 'SOPHY', |
|
559 | 565 | dt.year, |
|
560 | 566 | dt.month, |
|
561 | 567 | dt.day, |
|
562 | 568 | dt.hour, |
|
563 | 569 | dt.minute, |
|
564 | 570 | dt.second, |
|
565 | 571 | ang_type[0], |
|
566 | 572 | ang_, |
|
567 | 573 | self.weather_var, |
|
568 | 574 | ext ) |
|
569 | 575 | subfolder = '{}_{}_{}_{:2.1f}'.format(self.weather_var, mode_type, ang_type, ang_) |
|
570 | 576 | fullpath = os.path.join(path, subfolder) |
|
571 | 577 | if not os.path.exists(fullpath): |
|
572 | 578 | os.makedirs(fullpath) |
|
573 | 579 | else: |
|
574 | 580 | setFile = dt.hour*60+dt.minute |
|
575 | 581 | file = '%s%4.4d%3.3d%04d%s' % (self.optchar, |
|
576 | 582 | dt.year, |
|
577 | 583 | int(dt.strftime('%j')), |
|
578 | 584 | setFile, |
|
579 | 585 | ext ) |
|
580 | 586 | |
|
581 | 587 | self.filename = os.path.join( path, subfolder, file ) |
|
582 | 588 | |
|
583 | 589 | self.fp = h5py.File(self.filename, 'w') |
|
584 | 590 | #write metadata |
|
585 | 591 | self.writeMetadata(self.fp) |
|
586 | 592 | #Write data |
|
587 | 593 | self.writeData(self.fp) |
|
588 | 594 | |
|
589 | 595 | def getLabel(self, name, x=None): |
|
590 | 596 | |
|
591 | 597 | if x is None: |
|
592 | 598 | if 'Data' in self.description: |
|
593 | 599 | data = self.description['Data'] |
|
594 | 600 | if 'Metadata' in self.description: |
|
595 | 601 | data.update(self.description['Metadata']) |
|
596 | 602 | else: |
|
597 | 603 | data = self.description |
|
598 | 604 | if name in data: |
|
599 | 605 | if isinstance(data[name], str): |
|
600 | 606 | return data[name] |
|
601 | 607 | elif isinstance(data[name], list): |
|
602 | 608 | return None |
|
603 | 609 | elif isinstance(data[name], dict): |
|
604 | 610 | for key, value in data[name].items(): |
|
605 | 611 | return key |
|
606 | 612 | return name |
|
607 | 613 | else: |
|
608 | 614 | if 'Data' in self.description: |
|
609 | 615 | data = self.description['Data'] |
|
610 | 616 | if 'Metadata' in self.description: |
|
611 | 617 | data.update(self.description['Metadata']) |
|
612 | 618 | else: |
|
613 | 619 | data = self.description |
|
614 | 620 | if name in data: |
|
615 | 621 | if isinstance(data[name], list): |
|
616 | 622 | return data[name][x] |
|
617 | 623 | elif isinstance(data[name], dict): |
|
618 | 624 | for key, value in data[name].items(): |
|
619 | 625 | return value[x] |
|
620 | 626 | if 'cspc' in name: |
|
621 | 627 | return 'pair{:02d}'.format(x) |
|
622 | 628 | else: |
|
623 | 629 | return 'channel{:02d}'.format(x) |
|
624 | 630 | |
|
625 | 631 | def writeMetadata(self, fp): |
|
626 | 632 | |
|
627 | 633 | if self.description: |
|
628 | 634 | if 'Metadata' in self.description: |
|
629 | 635 | grp = fp.create_group('Metadata') |
|
630 | 636 | else: |
|
631 | 637 | grp = fp |
|
632 | 638 | else: |
|
633 | 639 | grp = fp.create_group('Metadata') |
|
634 | 640 | |
|
635 | 641 | for i in range(len(self.metadataList)): |
|
636 | 642 | if not hasattr(self.dataOut, self.metadataList[i]): |
|
637 | 643 | log.warning('Metadata: `{}` not found'.format(self.metadataList[i]), self.name) |
|
638 | 644 | continue |
|
639 | 645 | value = getattr(self.dataOut, self.metadataList[i]) |
|
640 | 646 | if isinstance(value, bool): |
|
641 | 647 | if value is True: |
|
642 | 648 | value = 1 |
|
643 | 649 | else: |
|
644 | 650 | value = 0 |
|
645 | 651 | grp.create_dataset(self.getLabel(self.metadataList[i]), data=value) |
|
646 | 652 | return |
|
647 | 653 | |
|
648 | 654 | def writeData(self, fp): |
|
649 | 655 | |
|
650 | 656 | if self.description: |
|
651 | 657 | if 'Data' in self.description: |
|
652 | 658 | grp = fp.create_group('Data') |
|
653 | 659 | else: |
|
654 | 660 | grp = fp |
|
655 | 661 | else: |
|
656 | 662 | grp = fp.create_group('Data') |
|
657 | 663 | |
|
658 | 664 | dtsets = [] |
|
659 | 665 | data = [] |
|
660 | 666 | |
|
661 | 667 | for dsInfo in self.dsList: |
|
662 | 668 | |
|
663 | 669 | if dsInfo['nDim'] == 0: |
|
664 | 670 | ds = grp.create_dataset( |
|
665 | 671 | self.getLabel(dsInfo['variable']), |
|
666 | 672 | (self.blocksPerFile, ), |
|
667 | 673 | chunks=True, |
|
668 | 674 | dtype=numpy.float64) |
|
669 | 675 | dtsets.append(ds) |
|
670 | 676 | data.append((dsInfo['variable'], -1)) |
|
671 | 677 | else: |
|
672 | 678 | label = self.getLabel(dsInfo['variable']) |
|
673 | 679 | if label is not None: |
|
674 | 680 | sgrp = grp.create_group(label) |
|
675 | 681 | else: |
|
676 | 682 | sgrp = grp |
|
677 | 683 | if self.blocksPerFile == 1: |
|
678 | 684 | shape = dsInfo['shape'][1:] |
|
679 | 685 | else: |
|
680 | 686 | shape = (self.blocksPerFile, ) + dsInfo['shape'][1:] |
|
681 | 687 | for i in range(dsInfo['dsNumber']): |
|
688 | if dsInfo['dsNumber']==1: | |
|
689 | if self.setChannel==1: | |
|
690 | i=1 | |
|
682 | 691 | ds = sgrp.create_dataset( |
|
683 | 692 | self.getLabel(dsInfo['variable'], i), |
|
684 | 693 | shape, |
|
685 | 694 | chunks=True, |
|
686 | 695 | dtype=dsInfo['dtype'], |
|
687 | 696 | compression='gzip', |
|
688 | 697 | ) |
|
689 | 698 | dtsets.append(ds) |
|
690 | 699 | data.append((dsInfo['variable'], i)) |
|
691 | 700 | fp.flush() |
|
692 | 701 | |
|
693 | 702 | log.log('Creating file: {}'.format(fp.filename), self.name) |
|
694 | 703 | |
|
695 | 704 | self.ds = dtsets |
|
696 | 705 | self.data = data |
|
697 | 706 | self.firsttime = True |
|
698 | 707 | self.blockIndex = 0 |
|
699 | 708 | return |
|
700 | 709 | |
|
701 | 710 | def putData(self): |
|
702 | 711 | |
|
703 | 712 | if (self.blockIndex == self.blocksPerFile) or self.timeFlag(): |
|
704 | 713 | self.closeFile() |
|
705 | 714 | self.setNextFile() |
|
706 | 715 | |
|
707 | 716 | for i, ds in enumerate(self.ds): |
|
708 | 717 | attr, ch = self.data[i] |
|
709 | 718 | if ch == -1: |
|
710 | 719 | ds[self.blockIndex] = getattr(self.dataOut, attr) |
|
711 | 720 | else: |
|
712 | 721 | if self.blocksPerFile == 1: |
|
713 | 722 | mask = self.dataOut.data_param[:,3,:][ch] < self.mask |
|
714 | 723 | tmp = getattr(self.dataOut, attr)[:,self.weather_vars[self.weather_var],:][ch] |
|
715 | 724 | if self.mask: |
|
716 | 725 | tmp[mask] = numpy.nan |
|
717 | 726 | ds[:] = tmp |
|
718 | 727 | else: |
|
719 | 728 | ds[self.blockIndex] = getattr(self.dataOut, attr)[ch] |
|
720 | 729 | |
|
721 | 730 | self.fp.flush() |
|
722 | 731 | self.blockIndex += 1 |
|
723 | 732 | log.log('Block No. {}/{}'.format(self.blockIndex, self.blocksPerFile), self.name) |
|
724 | 733 | |
|
725 | 734 | return |
|
726 | 735 | |
|
727 | 736 | def closeFile(self): |
|
728 | 737 | |
|
729 | 738 | if self.blockIndex != self.blocksPerFile: |
|
730 | 739 | for ds in self.ds: |
|
731 | 740 | ds.resize(self.blockIndex, axis=0) |
|
732 | 741 | |
|
733 | 742 | if self.fp: |
|
734 | 743 | self.fp.flush() |
|
735 | 744 | self.fp.close() |
|
736 | 745 | |
|
737 | 746 | def close(self): |
|
738 | 747 | |
|
739 | 748 | self.closeFile() |
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