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1 | 1 | ''' |
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2 | 2 | Updated on January , 2018, for multiprocessing purposes |
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3 | 3 | Author: Sergio Cortez |
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4 | 4 | Created on September , 2012 |
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5 | 5 | ''' |
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6 | 6 | from platform import python_version |
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7 | 7 | import sys |
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8 | 8 | import ast |
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9 | 9 | import datetime |
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10 | 10 | import traceback |
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11 | 11 | import math |
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12 | 12 | import time |
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13 | 13 | import zmq |
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14 | 14 | from multiprocessing import Process, Queue, Event, Value, cpu_count |
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15 | 15 | from threading import Thread |
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16 | 16 | from xml.etree.ElementTree import ElementTree, Element, SubElement, tostring |
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17 | 17 | from xml.dom import minidom |
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18 | 18 | |
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19 | 19 | |
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20 | 20 | from schainpy.admin import Alarm, SchainWarning |
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21 | 21 | from schainpy.model import * |
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22 | 22 | from schainpy.utils import log |
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23 | 23 | |
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24 | 24 | |
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25 | 25 | DTYPES = { |
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26 | 26 | 'Voltage': '.r', |
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27 | 27 | 'Spectra': '.pdata' |
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28 | 28 | } |
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29 | 29 | |
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30 | 30 | |
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31 | 31 | def MPProject(project, n=cpu_count()): |
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32 | 32 | ''' |
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33 | 33 | Project wrapper to run schain in n processes |
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34 | 34 | ''' |
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35 | 35 | |
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36 | 36 | rconf = project.getReadUnitObj() |
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37 | 37 | op = rconf.getOperationObj('run') |
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38 | 38 | dt1 = op.getParameterValue('startDate') |
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39 | 39 | dt2 = op.getParameterValue('endDate') |
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40 | 40 | tm1 = op.getParameterValue('startTime') |
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41 | 41 | tm2 = op.getParameterValue('endTime') |
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42 | 42 | days = (dt2 - dt1).days |
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43 | 43 | |
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44 | 44 | for day in range(days + 1): |
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45 | 45 | skip = 0 |
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46 | 46 | cursor = 0 |
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47 | 47 | processes = [] |
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48 | 48 | dt = dt1 + datetime.timedelta(day) |
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49 | 49 | dt_str = dt.strftime('%Y/%m/%d') |
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50 | 50 | reader = JRODataReader() |
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51 | 51 | paths, files = reader.searchFilesOffLine(path=rconf.path, |
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52 | 52 | startDate=dt, |
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53 | 53 | endDate=dt, |
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54 | 54 | startTime=tm1, |
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55 | 55 | endTime=tm2, |
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56 | 56 | ext=DTYPES[rconf.datatype]) |
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57 | 57 | nFiles = len(files) |
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58 | 58 | if nFiles == 0: |
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59 | 59 | continue |
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60 | 60 |
skip = int(math.ceil(nFiles / n)) |
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61 | 61 | while nFiles > cursor * skip: |
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62 | 62 | rconf.update(startDate=dt_str, endDate=dt_str, cursor=cursor, |
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63 | 63 | skip=skip) |
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64 | 64 | p = project.clone() |
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65 | 65 | p.start() |
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66 | 66 | processes.append(p) |
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67 | 67 | cursor += 1 |
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68 | 68 | |
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69 | 69 | def beforeExit(exctype, value, trace): |
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70 | 70 | for process in processes: |
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71 | 71 | process.terminate() |
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72 | 72 | process.join() |
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73 | 73 | print(traceback.print_tb(trace)) |
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74 | 74 | |
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75 | 75 | sys.excepthook = beforeExit |
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76 | 76 | |
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77 | 77 | for process in processes: |
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78 | 78 | process.join() |
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79 | 79 | process.terminate() |
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80 | 80 | |
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81 | 81 | time.sleep(3) |
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82 | 82 | |
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83 | 83 | def wait(context): |
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84 | 84 | |
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85 | 85 | time.sleep(1) |
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86 | 86 | c = zmq.Context() |
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87 | 87 | receiver = c.socket(zmq.SUB) |
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88 | 88 |
receiver.connect('ipc:///tmp/schain_{}_pub'.format(self.id)) |
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89 | 89 | receiver.setsockopt(zmq.SUBSCRIBE, self.id.encode()) |
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90 | 90 | msg = receiver.recv_multipart()[1] |
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91 | 91 | context.terminate() |
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92 | 92 | |
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93 | 93 | class ParameterConf(): |
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94 | 94 | |
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95 | 95 | id = None |
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96 | 96 | name = None |
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97 | 97 | value = None |
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98 | 98 | format = None |
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99 | 99 | |
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100 | 100 | __formated_value = None |
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101 | 101 | |
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102 | 102 | ELEMENTNAME = 'Parameter' |
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103 | 103 | |
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104 | 104 | def __init__(self): |
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105 | 105 | |
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106 | 106 | self.format = 'str' |
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107 | 107 | |
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108 | 108 | def getElementName(self): |
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109 | 109 | |
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110 | 110 | return self.ELEMENTNAME |
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111 | 111 | |
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112 | 112 | def getValue(self): |
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113 | 113 | |
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114 | 114 | value = self.value |
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115 | 115 | format = self.format |
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116 | 116 | |
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117 | 117 | if self.__formated_value != None: |
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118 | 118 | |
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119 | 119 | return self.__formated_value |
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120 | 120 | |
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121 | 121 | if format == 'obj': |
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122 | 122 | return value |
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123 | 123 | |
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124 | 124 | if format == 'str': |
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125 | 125 | self.__formated_value = str(value) |
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126 | 126 | return self.__formated_value |
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127 | 127 | |
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128 | 128 | if value == '': |
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129 | 129 | raise ValueError('%s: This parameter value is empty' % self.name) |
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130 | 130 | |
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131 | 131 | if format == 'list': |
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132 | 132 | strList = [s.strip() for s in value.split(',')] |
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133 | 133 | self.__formated_value = strList |
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134 | 134 | |
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135 | 135 | return self.__formated_value |
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136 | 136 | |
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137 | 137 | if format == 'intlist': |
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138 | 138 | ''' |
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139 | 139 | Example: |
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140 | 140 | value = (0,1,2) |
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141 | 141 | ''' |
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142 | 142 | |
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143 | 143 | new_value = ast.literal_eval(value) |
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144 | 144 | |
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145 | 145 | if type(new_value) not in (tuple, list): |
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146 | 146 | new_value = [int(new_value)] |
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147 | 147 | |
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148 | 148 | self.__formated_value = new_value |
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149 | 149 | |
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150 | 150 | return self.__formated_value |
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151 | 151 | |
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152 | 152 | if format == 'floatlist': |
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153 | 153 | ''' |
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154 | 154 | Example: |
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155 | 155 | value = (0.5, 1.4, 2.7) |
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156 | 156 | ''' |
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157 | 157 | |
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158 | 158 | new_value = ast.literal_eval(value) |
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159 | 159 | |
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160 | 160 | if type(new_value) not in (tuple, list): |
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161 | 161 | new_value = [float(new_value)] |
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162 | 162 | |
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163 | 163 | self.__formated_value = new_value |
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164 | 164 | |
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165 | 165 | return self.__formated_value |
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166 | 166 | |
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167 | 167 | if format == 'date': |
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168 | 168 | strList = value.split('/') |
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169 | 169 | intList = [int(x) for x in strList] |
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170 | 170 | date = datetime.date(intList[0], intList[1], intList[2]) |
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171 | 171 | |
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172 | 172 | self.__formated_value = date |
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173 | 173 | |
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174 | 174 | return self.__formated_value |
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175 | 175 | |
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176 | 176 | if format == 'time': |
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177 | 177 | strList = value.split(':') |
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178 | 178 | intList = [int(x) for x in strList] |
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179 | 179 | time = datetime.time(intList[0], intList[1], intList[2]) |
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180 | 180 | |
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181 | 181 | self.__formated_value = time |
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182 | 182 | |
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183 | 183 | return self.__formated_value |
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184 | 184 | |
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185 | 185 | if format == 'pairslist': |
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186 | 186 | ''' |
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187 | 187 | Example: |
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188 | 188 | value = (0,1),(1,2) |
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189 | 189 | ''' |
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190 | 190 | |
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191 | 191 | new_value = ast.literal_eval(value) |
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192 | 192 | |
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193 | 193 | if type(new_value) not in (tuple, list): |
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194 | 194 | raise ValueError('%s has to be a tuple or list of pairs' % value) |
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195 | 195 | |
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196 | 196 | if type(new_value[0]) not in (tuple, list): |
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197 | 197 | if len(new_value) != 2: |
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198 | 198 | raise ValueError('%s has to be a tuple or list of pairs' % value) |
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199 | 199 | new_value = [new_value] |
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200 | 200 | |
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201 | 201 | for thisPair in new_value: |
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202 | 202 | if len(thisPair) != 2: |
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203 | 203 | raise ValueError('%s has to be a tuple or list of pairs' % value) |
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204 | 204 | |
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205 | 205 | self.__formated_value = new_value |
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206 | 206 | |
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207 | 207 | return self.__formated_value |
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208 | 208 | |
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209 | 209 | if format == 'multilist': |
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210 | 210 | ''' |
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211 | 211 | Example: |
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212 | 212 | value = (0,1,2),(3,4,5) |
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213 | 213 | ''' |
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214 | 214 | multiList = ast.literal_eval(value) |
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215 | 215 | |
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216 | 216 | if type(multiList[0]) == int: |
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217 | 217 | multiList = ast.literal_eval('(' + value + ')') |
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218 | 218 | |
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219 | 219 | self.__formated_value = multiList |
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220 | 220 | |
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221 | 221 | return self.__formated_value |
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222 | 222 | |
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223 | 223 | if format == 'bool': |
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224 | 224 | value = int(value) |
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225 | 225 | |
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226 | 226 | if format == 'int': |
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227 | 227 | value = float(value) |
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228 | 228 | |
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229 | 229 | format_func = eval(format) |
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230 | 230 | |
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231 | 231 | self.__formated_value = format_func(value) |
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232 | 232 | |
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233 | 233 | return self.__formated_value |
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234 | 234 | |
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235 | 235 | def updateId(self, new_id): |
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236 | 236 | |
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237 | 237 | self.id = str(new_id) |
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238 | 238 | |
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239 | 239 | def setup(self, id, name, value, format='str'): |
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240 | 240 | self.id = str(id) |
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241 | 241 | self.name = name |
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242 | 242 | if format == 'obj': |
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243 | 243 | self.value = value |
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244 | 244 | else: |
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245 | 245 | self.value = str(value) |
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246 | 246 | self.format = str.lower(format) |
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247 | 247 | |
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248 | 248 | self.getValue() |
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249 | 249 | |
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250 | 250 | return 1 |
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251 | 251 | |
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252 | 252 | def update(self, name, value, format='str'): |
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253 | 253 | |
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254 | 254 | self.name = name |
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255 | 255 | self.value = str(value) |
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256 | 256 | self.format = format |
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257 | 257 | |
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258 | 258 | def makeXml(self, opElement): |
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259 | 259 | if self.name not in ('queue',): |
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260 | 260 | parmElement = SubElement(opElement, self.ELEMENTNAME) |
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261 | 261 | parmElement.set('id', str(self.id)) |
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262 | 262 | parmElement.set('name', self.name) |
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263 | 263 | parmElement.set('value', self.value) |
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264 | 264 | parmElement.set('format', self.format) |
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265 | 265 | |
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266 | 266 | def readXml(self, parmElement): |
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267 | 267 | |
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268 | 268 | self.id = parmElement.get('id') |
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269 | 269 | self.name = parmElement.get('name') |
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270 | 270 | self.value = parmElement.get('value') |
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271 | 271 | self.format = str.lower(parmElement.get('format')) |
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272 | 272 | |
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273 | 273 | # Compatible with old signal chain version |
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274 | 274 | if self.format == 'int' and self.name == 'idfigure': |
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275 | 275 | self.name = 'id' |
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276 | 276 | |
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277 | 277 | def printattr(self): |
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278 | 278 | |
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279 | 279 | print('Parameter[%s]: name = %s, value = %s, format = %s, project_id = %s' % (self.id, self.name, self.value, self.format, self.project_id)) |
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280 | 280 | |
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281 | 281 | class OperationConf(): |
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282 | 282 | |
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283 | 283 | ELEMENTNAME = 'Operation' |
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284 | 284 | |
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285 | 285 | def __init__(self): |
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286 | 286 | |
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287 | 287 | self.id = '0' |
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288 | 288 | self.name = None |
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289 | 289 | self.priority = None |
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290 | 290 | self.topic = None |
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291 | 291 | |
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292 | 292 | def __getNewId(self): |
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293 | 293 | |
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294 | 294 | return int(self.id) * 10 + len(self.parmConfObjList) + 1 |
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295 | 295 | |
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296 | 296 | def getId(self): |
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297 | 297 | return self.id |
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298 | 298 | |
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299 | 299 | def updateId(self, new_id): |
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300 | 300 | |
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301 | 301 | self.id = str(new_id) |
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302 | 302 | |
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303 | 303 | n = 1 |
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304 | 304 | for parmObj in self.parmConfObjList: |
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305 | 305 | |
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306 | 306 | idParm = str(int(new_id) * 10 + n) |
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307 | 307 | parmObj.updateId(idParm) |
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308 | 308 | |
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309 | 309 | n += 1 |
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310 | 310 | |
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311 | 311 | def getElementName(self): |
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312 | 312 | |
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313 | 313 | return self.ELEMENTNAME |
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314 | 314 | |
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315 | 315 | def getParameterObjList(self): |
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316 | 316 | |
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317 | 317 | return self.parmConfObjList |
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318 | 318 | |
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319 | 319 | def getParameterObj(self, parameterName): |
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320 | 320 | |
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321 | 321 | for parmConfObj in self.parmConfObjList: |
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322 | 322 | |
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323 | 323 | if parmConfObj.name != parameterName: |
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324 | 324 | continue |
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325 | 325 | |
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326 | 326 | return parmConfObj |
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327 | 327 | |
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328 | 328 | return None |
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329 | 329 | |
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330 | 330 | def getParameterObjfromValue(self, parameterValue): |
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331 | 331 | |
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332 | 332 | for parmConfObj in self.parmConfObjList: |
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333 | 333 | |
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334 | 334 | if parmConfObj.getValue() != parameterValue: |
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335 | 335 | continue |
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336 | 336 | |
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337 | 337 | return parmConfObj.getValue() |
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338 | 338 | |
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339 | 339 | return None |
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340 | 340 | |
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341 | 341 | def getParameterValue(self, parameterName): |
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342 | 342 | |
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343 | 343 | parameterObj = self.getParameterObj(parameterName) |
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344 | 344 | |
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345 | 345 | # if not parameterObj: |
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346 | 346 | # return None |
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347 | 347 | |
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348 | 348 | value = parameterObj.getValue() |
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349 | 349 | |
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350 | 350 | return value |
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351 | 351 | |
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352 | 352 | def getKwargs(self): |
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353 | 353 | |
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354 | 354 | kwargs = {} |
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355 | 355 | |
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356 | 356 | for parmConfObj in self.parmConfObjList: |
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357 | 357 | if self.name == 'run' and parmConfObj.name == 'datatype': |
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358 | 358 | continue |
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359 | 359 | |
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360 | 360 | kwargs[parmConfObj.name] = parmConfObj.getValue() |
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361 | 361 | |
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362 | 362 | return kwargs |
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363 | 363 | |
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364 | 364 | def setup(self, id, name, priority, type, project_id, err_queue, lock): |
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365 | 365 | |
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366 | 366 | self.id = str(id) |
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367 | 367 | self.project_id = project_id |
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368 | 368 | self.name = name |
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369 | 369 | self.type = type |
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370 | 370 | self.priority = priority |
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371 | 371 | self.err_queue = err_queue |
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372 | 372 | self.lock = lock |
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373 | 373 | self.parmConfObjList = [] |
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374 | 374 | |
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375 | 375 | def removeParameters(self): |
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376 | 376 | |
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377 | 377 | for obj in self.parmConfObjList: |
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378 | 378 | del obj |
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379 | 379 | |
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380 | 380 | self.parmConfObjList = [] |
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381 | 381 | |
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382 | 382 | def addParameter(self, name, value, format='str'): |
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383 | 383 | |
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384 | 384 | if value is None: |
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385 | 385 | return None |
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386 | 386 | id = self.__getNewId() |
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387 | 387 | |
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388 | 388 | parmConfObj = ParameterConf() |
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389 | 389 | if not parmConfObj.setup(id, name, value, format): |
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390 | 390 | return None |
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391 | 391 | |
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392 | 392 | self.parmConfObjList.append(parmConfObj) |
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393 | 393 | |
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394 | 394 | return parmConfObj |
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395 | 395 | |
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396 | 396 | def changeParameter(self, name, value, format='str'): |
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397 | 397 | |
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398 | 398 | parmConfObj = self.getParameterObj(name) |
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399 | 399 | parmConfObj.update(name, value, format) |
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400 | 400 | |
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401 | 401 | return parmConfObj |
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402 | 402 | |
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403 | 403 | def makeXml(self, procUnitElement): |
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404 | 404 | |
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405 | 405 | opElement = SubElement(procUnitElement, self.ELEMENTNAME) |
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406 | 406 | opElement.set('id', str(self.id)) |
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407 | 407 | opElement.set('name', self.name) |
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408 | 408 | opElement.set('type', self.type) |
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409 | 409 | opElement.set('priority', str(self.priority)) |
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410 | 410 | |
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411 | 411 | for parmConfObj in self.parmConfObjList: |
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412 | 412 | parmConfObj.makeXml(opElement) |
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413 | 413 | |
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414 | 414 | def readXml(self, opElement, project_id): |
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415 | 415 | |
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416 | 416 | self.id = opElement.get('id') |
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417 | 417 | self.name = opElement.get('name') |
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418 | 418 | self.type = opElement.get('type') |
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419 | 419 | self.priority = opElement.get('priority') |
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420 | 420 |
self.project_id = str(project_id) |
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421 | 421 | |
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422 | 422 | # Compatible with old signal chain version |
|
423 | 423 | # Use of 'run' method instead 'init' |
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424 | 424 | if self.type == 'self' and self.name == 'init': |
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425 | 425 | self.name = 'run' |
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426 | 426 | |
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427 | 427 | self.parmConfObjList = [] |
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428 | 428 | |
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429 | 429 | parmElementList = opElement.iter(ParameterConf().getElementName()) |
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430 | 430 | |
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431 | 431 | for parmElement in parmElementList: |
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432 | 432 | parmConfObj = ParameterConf() |
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433 | 433 | parmConfObj.readXml(parmElement) |
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434 | 434 | |
|
435 | 435 | # Compatible with old signal chain version |
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436 | 436 | # If an 'plot' OPERATION is found, changes name operation by the value of its type PARAMETER |
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437 | 437 | if self.type != 'self' and self.name == 'Plot': |
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438 | 438 | if parmConfObj.format == 'str' and parmConfObj.name == 'type': |
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439 | 439 | self.name = parmConfObj.value |
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440 | 440 | continue |
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441 | 441 | |
|
442 | 442 | self.parmConfObjList.append(parmConfObj) |
|
443 | 443 | |
|
444 | 444 | def printattr(self): |
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445 | 445 | |
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446 | 446 | print('%s[%s]: name = %s, type = %s, priority = %s, project_id = %s' % (self.ELEMENTNAME, |
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447 | 447 | self.id, |
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448 | 448 | self.name, |
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449 | 449 | self.type, |
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450 | 450 | self.priority, |
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451 | 451 | self.project_id)) |
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452 | 452 | |
|
453 | 453 | for parmConfObj in self.parmConfObjList: |
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454 | 454 | parmConfObj.printattr() |
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455 | 455 | |
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456 | 456 | def createObject(self): |
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457 | 457 | |
|
458 | 458 | className = eval(self.name) |
|
459 | 459 | |
|
460 | 460 | if self.type == 'other': |
|
461 | 461 | opObj = className() |
|
462 | 462 | elif self.type == 'external': |
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463 | 463 | kwargs = self.getKwargs() |
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464 | 464 | opObj = className(self.id, self.id, self.project_id, self.err_queue, self.lock, 'Operation', **kwargs) |
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465 | 465 | opObj.start() |
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466 | 466 | self.opObj = opObj |
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467 | 467 | |
|
468 | 468 | return opObj |
|
469 | 469 | |
|
470 | 470 | class ProcUnitConf(): |
|
471 | 471 | |
|
472 | 472 | ELEMENTNAME = 'ProcUnit' |
|
473 | 473 | |
|
474 | 474 | def __init__(self): |
|
475 | 475 | |
|
476 | 476 | self.id = None |
|
477 | 477 | self.datatype = None |
|
478 | 478 | self.name = None |
|
479 | 479 |
self.inputId = None |
|
480 | 480 | self.opConfObjList = [] |
|
481 | 481 | self.procUnitObj = None |
|
482 | 482 | self.opObjDict = {} |
|
483 | 483 | |
|
484 | 484 | def __getPriority(self): |
|
485 | 485 | |
|
486 | 486 | return len(self.opConfObjList) + 1 |
|
487 | 487 | |
|
488 | 488 | def __getNewId(self): |
|
489 | 489 | |
|
490 | 490 | return int(self.id) * 10 + len(self.opConfObjList) + 1 |
|
491 | 491 | |
|
492 | 492 | def getElementName(self): |
|
493 | 493 | |
|
494 | 494 | return self.ELEMENTNAME |
|
495 | 495 | |
|
496 | 496 | def getId(self): |
|
497 | 497 | |
|
498 | 498 | return self.id |
|
499 | 499 | |
|
500 | 500 |
def updateId(self, new_id): |
|
501 | 501 | ''' |
|
502 | 502 | new_id = int(parentId) * 10 + (int(self.id) % 10) |
|
503 | 503 | new_inputId = int(parentId) * 10 + (int(self.inputId) % 10) |
|
504 | 504 | |
|
505 | 505 | # If this proc unit has not inputs |
|
506 | 506 | #if self.inputId == '0': |
|
507 | 507 | #new_inputId = 0 |
|
508 | 508 | |
|
509 | 509 | n = 1 |
|
510 | 510 | for opConfObj in self.opConfObjList: |
|
511 | 511 | |
|
512 | 512 | idOp = str(int(new_id) * 10 + n) |
|
513 | 513 | opConfObj.updateId(idOp) |
|
514 | 514 | |
|
515 | 515 | n += 1 |
|
516 | 516 | |
|
517 | 517 | self.parentId = str(parentId) |
|
518 | 518 | self.id = str(new_id) |
|
519 | 519 | #self.inputId = str(new_inputId) |
|
520 | 520 | ''' |
|
521 | 521 | n = 1 |
|
522 | 522 | |
|
523 | 523 | def getInputId(self): |
|
524 | 524 | |
|
525 | 525 | return self.inputId |
|
526 | 526 | |
|
527 | 527 | def getOperationObjList(self): |
|
528 | 528 | |
|
529 | 529 | return self.opConfObjList |
|
530 | 530 | |
|
531 | 531 | def getOperationObj(self, name=None): |
|
532 | 532 | |
|
533 | 533 | for opConfObj in self.opConfObjList: |
|
534 | 534 | |
|
535 | 535 | if opConfObj.name != name: |
|
536 | 536 | continue |
|
537 | 537 | |
|
538 | 538 | return opConfObj |
|
539 | 539 | |
|
540 | 540 | return None |
|
541 | 541 | |
|
542 | 542 | def getOpObjfromParamValue(self, value=None): |
|
543 | 543 | |
|
544 | 544 | for opConfObj in self.opConfObjList: |
|
545 | 545 | if opConfObj.getParameterObjfromValue(parameterValue=value) != value: |
|
546 | 546 | continue |
|
547 | 547 | return opConfObj |
|
548 | 548 | return None |
|
549 | 549 | |
|
550 | 550 | def getProcUnitObj(self): |
|
551 | 551 | |
|
552 | 552 | return self.procUnitObj |
|
553 | 553 | |
|
554 | 554 | def setup(self, project_id, id, name, datatype, inputId, err_queue, lock): |
|
555 | 555 | ''' |
|
556 | 556 | id sera el topico a publicar |
|
557 | 557 | inputId sera el topico a subscribirse |
|
558 | 558 | ''' |
|
559 | 559 | |
|
560 | 560 | # Compatible with old signal chain version |
|
561 | 561 | if datatype == None and name == None: |
|
562 | 562 | raise ValueError('datatype or name should be defined') |
|
563 | 563 | |
|
564 | 564 | #Definir una condicion para inputId cuando sea 0 |
|
565 | 565 | |
|
566 | 566 | if name == None: |
|
567 | 567 | if 'Proc' in datatype: |
|
568 | 568 | name = datatype |
|
569 | 569 | else: |
|
570 | 570 | name = '%sProc' % (datatype) |
|
571 | 571 | |
|
572 | 572 | if datatype == None: |
|
573 | 573 | datatype = name.replace('Proc', '') |
|
574 | 574 | |
|
575 | 575 | self.id = str(id) |
|
576 | 576 | self.project_id = project_id |
|
577 | 577 | self.name = name |
|
578 | 578 | self.datatype = datatype |
|
579 | 579 | self.inputId = inputId |
|
580 | 580 | self.err_queue = err_queue |
|
581 | 581 | self.lock = lock |
|
582 | 582 | self.opConfObjList = [] |
|
583 | 583 | |
|
584 | 584 |
self.addOperation(name='run', optype='self') |
|
585 | 585 | |
|
586 | 586 | def removeOperations(self): |
|
587 | 587 | |
|
588 | 588 | for obj in self.opConfObjList: |
|
589 | 589 | del obj |
|
590 | 590 | |
|
591 | 591 | self.opConfObjList = [] |
|
592 | 592 | self.addOperation(name='run') |
|
593 | 593 | |
|
594 | 594 | def addParameter(self, **kwargs): |
|
595 | 595 | ''' |
|
596 | 596 | Add parameters to 'run' operation |
|
597 | 597 | ''' |
|
598 | 598 | opObj = self.opConfObjList[0] |
|
599 | 599 | |
|
600 | 600 | opObj.addParameter(**kwargs) |
|
601 | 601 | |
|
602 | 602 | return opObj |
|
603 | 603 | |
|
604 | 604 | def addOperation(self, name, optype='self'): |
|
605 | 605 | ''' |
|
606 | 606 | Actualizacion - > proceso comunicacion |
|
607 | 607 | En el caso de optype='self', elminar. DEfinir comuncacion IPC -> Topic |
|
608 | 608 | definir el tipoc de socket o comunicacion ipc++ |
|
609 | 609 | |
|
610 | 610 | ''' |
|
611 | 611 | |
|
612 | 612 | id = self.__getNewId() |
|
613 | 613 | priority = self.__getPriority() # Sin mucho sentido, pero puede usarse |
|
614 | 614 | opConfObj = OperationConf() |
|
615 | 615 | opConfObj.setup(id, name=name, priority=priority, type=optype, project_id=self.project_id, err_queue=self.err_queue, lock=self.lock) |
|
616 | 616 | self.opConfObjList.append(opConfObj) |
|
617 | 617 | |
|
618 | 618 | return opConfObj |
|
619 | 619 | |
|
620 | 620 | def makeXml(self, projectElement): |
|
621 | 621 | |
|
622 | 622 | procUnitElement = SubElement(projectElement, self.ELEMENTNAME) |
|
623 | 623 | procUnitElement.set('id', str(self.id)) |
|
624 | 624 | procUnitElement.set('name', self.name) |
|
625 | 625 | procUnitElement.set('datatype', self.datatype) |
|
626 | 626 | procUnitElement.set('inputId', str(self.inputId)) |
|
627 | 627 | |
|
628 | 628 | for opConfObj in self.opConfObjList: |
|
629 | 629 | opConfObj.makeXml(procUnitElement) |
|
630 | 630 | |
|
631 | 631 | def readXml(self, upElement, project_id): |
|
632 | 632 | |
|
633 | 633 | self.id = upElement.get('id') |
|
634 | 634 | self.name = upElement.get('name') |
|
635 | 635 | self.datatype = upElement.get('datatype') |
|
636 | 636 | self.inputId = upElement.get('inputId') |
|
637 | 637 | self.project_id = str(project_id) |
|
638 | 638 | |
|
639 | 639 | if self.ELEMENTNAME == 'ReadUnit': |
|
640 | 640 | self.datatype = self.datatype.replace('Reader', '') |
|
641 | 641 | |
|
642 | 642 | if self.ELEMENTNAME == 'ProcUnit': |
|
643 | 643 | self.datatype = self.datatype.replace('Proc', '') |
|
644 | 644 | |
|
645 | 645 | if self.inputId == 'None': |
|
646 | 646 | self.inputId = '0' |
|
647 | 647 | |
|
648 | 648 | self.opConfObjList = [] |
|
649 | 649 | |
|
650 | 650 | opElementList = upElement.iter(OperationConf().getElementName()) |
|
651 | 651 | |
|
652 | 652 | for opElement in opElementList: |
|
653 | 653 | opConfObj = OperationConf() |
|
654 | 654 | opConfObj.readXml(opElement, project_id) |
|
655 | 655 | self.opConfObjList.append(opConfObj) |
|
656 | 656 | |
|
657 | 657 | def printattr(self): |
|
658 | 658 | |
|
659 | 659 | print('%s[%s]: name = %s, datatype = %s, inputId = %s, project_id = %s' % (self.ELEMENTNAME, |
|
660 | 660 | self.id, |
|
661 | 661 | self.name, |
|
662 | 662 | self.datatype, |
|
663 | 663 | self.inputId, |
|
664 | 664 | self.project_id)) |
|
665 | 665 | |
|
666 | 666 | for opConfObj in self.opConfObjList: |
|
667 | 667 | opConfObj.printattr() |
|
668 | 668 | |
|
669 | 669 | def getKwargs(self): |
|
670 | 670 | |
|
671 | 671 | opObj = self.opConfObjList[0] |
|
672 | 672 | kwargs = opObj.getKwargs() |
|
673 | 673 | |
|
674 | 674 | return kwargs |
|
675 | 675 | |
|
676 | 676 | def createObjects(self): |
|
677 | 677 | ''' |
|
678 | 678 | Instancia de unidades de procesamiento. |
|
679 | 679 | ''' |
|
680 | 680 | |
|
681 | 681 | className = eval(self.name) |
|
682 | #print(self.name) | |
|
682 | 683 | kwargs = self.getKwargs() |
|
684 | #print(kwargs) | |
|
685 | #print("mark_a") | |
|
683 | 686 | procUnitObj = className(self.id, self.inputId, self.project_id, self.err_queue, self.lock, 'ProcUnit', **kwargs) |
|
687 | #print("mark_b") | |
|
684 | 688 | log.success('creating process...', self.name) |
|
685 | 689 | |
|
686 | 690 | for opConfObj in self.opConfObjList: |
|
687 | 691 | |
|
688 | 692 | if opConfObj.type == 'self' and opConfObj.name == 'run': |
|
689 | 693 | continue |
|
690 | 694 | elif opConfObj.type == 'self': |
|
691 | 695 | opObj = getattr(procUnitObj, opConfObj.name) |
|
692 | 696 | else: |
|
693 | 697 | opObj = opConfObj.createObject() |
|
694 | 698 | |
|
695 | 699 | log.success('adding operation: {}, type:{}'.format( |
|
696 | 700 | opConfObj.name, |
|
697 | 701 | opConfObj.type), self.name) |
|
698 | 702 | |
|
699 | 703 | procUnitObj.addOperation(opConfObj, opObj) |
|
700 | 704 | |
|
701 | 705 | procUnitObj.start() |
|
702 | 706 | self.procUnitObj = procUnitObj |
|
703 | 707 | |
|
704 | 708 | def close(self): |
|
705 | 709 | |
|
706 | 710 | for opConfObj in self.opConfObjList: |
|
707 | 711 | if opConfObj.type == 'self': |
|
708 | 712 | continue |
|
709 | 713 | |
|
710 | 714 | opObj = self.procUnitObj.getOperationObj(opConfObj.id) |
|
711 | 715 | opObj.close() |
|
712 | 716 | |
|
713 | 717 | self.procUnitObj.close() |
|
714 | 718 | |
|
715 | 719 | return |
|
716 | 720 | |
|
717 | 721 | |
|
718 | 722 | class ReadUnitConf(ProcUnitConf): |
|
719 | 723 | |
|
720 | 724 | ELEMENTNAME = 'ReadUnit' |
|
721 | 725 | |
|
722 | 726 | def __init__(self): |
|
723 | 727 | |
|
724 | 728 | self.id = None |
|
725 | 729 | self.datatype = None |
|
726 | 730 | self.name = None |
|
727 | 731 | self.inputId = None |
|
728 | 732 | self.opConfObjList = [] |
|
729 | 733 | self.lock = Event() |
|
730 | 734 | self.lock.set() |
|
731 | 735 | self.lock.n = Value('d', 0) |
|
732 | 736 | |
|
733 | 737 | def getElementName(self): |
|
734 | 738 | |
|
735 | 739 |
return self.ELEMENTNAME |
|
736 | 740 | |
|
737 | 741 | def setup(self, project_id, id, name, datatype, err_queue, path='', startDate='', endDate='', |
|
738 | 742 | startTime='', endTime='', server=None, **kwargs): |
|
739 | 743 | |
|
740 | 744 | |
|
741 | 745 | ''' |
|
742 | 746 | *****el id del proceso sera el Topico |
|
743 | 747 | |
|
744 | 748 | Adicion de {topic}, si no esta presente -> error |
|
745 | 749 | kwargs deben ser trasmitidos en la instanciacion |
|
746 | 750 | |
|
747 | 751 | ''' |
|
748 | 752 | |
|
749 | 753 | # Compatible with old signal chain version |
|
750 | 754 | if datatype == None and name == None: |
|
751 | 755 | raise ValueError('datatype or name should be defined') |
|
752 | 756 | if name == None: |
|
753 | 757 | if 'Reader' in datatype: |
|
754 | 758 | name = datatype |
|
755 | 759 | datatype = name.replace('Reader','') |
|
756 | 760 | else: |
|
757 | 761 | name = '{}Reader'.format(datatype) |
|
758 | 762 | if datatype == None: |
|
759 | 763 | if 'Reader' in name: |
|
760 | 764 | datatype = name.replace('Reader','') |
|
761 | 765 | else: |
|
762 | 766 | datatype = name |
|
763 | 767 | name = '{}Reader'.format(name) |
|
764 | 768 | |
|
765 | 769 | self.id = id |
|
766 | 770 | self.project_id = project_id |
|
767 | 771 | self.name = name |
|
768 | 772 | self.datatype = datatype |
|
769 | 773 | if path != '': |
|
770 | 774 | self.path = os.path.abspath(path) |
|
775 | print (self.path) | |
|
771 | 776 | self.startDate = startDate |
|
772 | 777 | self.endDate = endDate |
|
773 | 778 | self.startTime = startTime |
|
774 | 779 | self.endTime = endTime |
|
775 | 780 | self.server = server |
|
776 | 781 |
self.err_queue = err_queue |
|
777 | 782 | self.addRunOperation(**kwargs) |
|
778 | 783 | |
|
779 | 784 | def update(self, **kwargs): |
|
780 | 785 | |
|
781 | 786 | if 'datatype' in kwargs: |
|
782 | 787 | datatype = kwargs.pop('datatype') |
|
783 | 788 | if 'Reader' in datatype: |
|
784 | 789 | self.name = datatype |
|
785 | 790 | else: |
|
786 | 791 | self.name = '%sReader' % (datatype) |
|
787 | 792 | self.datatype = self.name.replace('Reader', '') |
|
788 | 793 | |
|
789 | 794 | attrs = ('path', 'startDate', 'endDate', |
|
790 | 795 | 'startTime', 'endTime') |
|
791 | 796 | |
|
792 | 797 | for attr in attrs: |
|
793 | 798 | if attr in kwargs: |
|
794 | 799 | setattr(self, attr, kwargs.pop(attr)) |
|
795 | 800 | |
|
796 | 801 | self.updateRunOperation(**kwargs) |
|
797 | 802 | |
|
798 | 803 | def removeOperations(self): |
|
799 | 804 | |
|
800 | 805 | for obj in self.opConfObjList: |
|
801 | 806 | del obj |
|
802 | 807 | |
|
803 | 808 | self.opConfObjList = [] |
|
804 | 809 | |
|
805 | 810 | def addRunOperation(self, **kwargs): |
|
806 | 811 | |
|
807 | 812 |
opObj = self.addOperation(name='run', optype='self') |
|
808 | 813 | |
|
809 | 814 | if self.server is None: |
|
810 | 815 | opObj.addParameter( |
|
811 | 816 | name='datatype', value=self.datatype, format='str') |
|
812 | 817 | opObj.addParameter(name='path', value=self.path, format='str') |
|
813 | 818 | opObj.addParameter( |
|
814 | 819 | name='startDate', value=self.startDate, format='date') |
|
815 | 820 | opObj.addParameter( |
|
816 | 821 | name='endDate', value=self.endDate, format='date') |
|
817 | 822 | opObj.addParameter( |
|
818 | 823 | name='startTime', value=self.startTime, format='time') |
|
819 | 824 | opObj.addParameter( |
|
820 | 825 | name='endTime', value=self.endTime, format='time') |
|
821 | 826 | |
|
822 | 827 | for key, value in list(kwargs.items()): |
|
823 | 828 | opObj.addParameter(name=key, value=value, |
|
824 | 829 | format=type(value).__name__) |
|
825 | 830 | else: |
|
826 | 831 | opObj.addParameter(name='server', value=self.server, format='str') |
|
827 | 832 | |
|
828 | 833 | return opObj |
|
829 | 834 | |
|
830 | 835 | def updateRunOperation(self, **kwargs): |
|
831 | 836 | |
|
832 | 837 | opObj = self.getOperationObj(name='run') |
|
833 | 838 | opObj.removeParameters() |
|
834 | 839 | |
|
835 | 840 | opObj.addParameter(name='datatype', value=self.datatype, format='str') |
|
836 | 841 | opObj.addParameter(name='path', value=self.path, format='str') |
|
837 | 842 | opObj.addParameter( |
|
838 | 843 | name='startDate', value=self.startDate, format='date') |
|
839 | 844 | opObj.addParameter(name='endDate', value=self.endDate, format='date') |
|
840 | 845 | opObj.addParameter( |
|
841 | 846 | name='startTime', value=self.startTime, format='time') |
|
842 | 847 | opObj.addParameter(name='endTime', value=self.endTime, format='time') |
|
843 | 848 | |
|
844 | 849 | for key, value in list(kwargs.items()): |
|
845 | 850 | opObj.addParameter(name=key, value=value, |
|
846 | 851 | format=type(value).__name__) |
|
847 | 852 | |
|
848 | 853 | return opObj |
|
849 | 854 | |
|
850 | 855 | def readXml(self, upElement, project_id): |
|
851 | 856 | |
|
852 | 857 | self.id = upElement.get('id') |
|
853 | 858 | self.name = upElement.get('name') |
|
854 | 859 | self.datatype = upElement.get('datatype') |
|
855 | 860 | self.project_id = str(project_id) #yong |
|
856 | 861 | |
|
857 | 862 | if self.ELEMENTNAME == 'ReadUnit': |
|
858 | 863 | self.datatype = self.datatype.replace('Reader', '') |
|
859 | 864 | |
|
860 | 865 | self.opConfObjList = [] |
|
861 | 866 | |
|
862 | 867 | opElementList = upElement.iter(OperationConf().getElementName()) |
|
863 | 868 | |
|
864 | 869 | for opElement in opElementList: |
|
865 | 870 | opConfObj = OperationConf() |
|
866 | 871 | opConfObj.readXml(opElement, project_id) |
|
867 | 872 | self.opConfObjList.append(opConfObj) |
|
868 | 873 | |
|
869 | 874 | if opConfObj.name == 'run': |
|
870 | 875 | self.path = opConfObj.getParameterValue('path') |
|
871 | 876 | self.startDate = opConfObj.getParameterValue('startDate') |
|
872 | 877 | self.endDate = opConfObj.getParameterValue('endDate') |
|
873 | 878 | self.startTime = opConfObj.getParameterValue('startTime') |
|
874 | 879 | self.endTime = opConfObj.getParameterValue('endTime') |
|
875 | 880 | |
|
876 | 881 | |
|
877 | 882 | class Project(Process): |
|
878 | 883 | |
|
879 | 884 | ELEMENTNAME = 'Project' |
|
880 | 885 | |
|
881 | 886 | def __init__(self): |
|
882 | 887 | |
|
883 | 888 | Process.__init__(self) |
|
884 | 889 | self.id = None |
|
885 | 890 | self.filename = None |
|
886 | 891 | self.description = None |
|
887 | 892 | self.email = None |
|
888 | 893 | self.alarm = None |
|
889 | 894 | self.procUnitConfObjDict = {} |
|
890 | 895 | self.err_queue = Queue() |
|
891 | 896 | |
|
892 | 897 | def __getNewId(self): |
|
893 | 898 | |
|
894 | 899 | idList = list(self.procUnitConfObjDict.keys()) |
|
895 | 900 | id = int(self.id) * 10 |
|
896 | 901 | |
|
897 | 902 | while True: |
|
898 | 903 | id += 1 |
|
899 | 904 | |
|
900 | 905 | if str(id) in idList: |
|
901 | 906 | continue |
|
902 | 907 | |
|
903 | 908 | break |
|
904 | 909 | |
|
905 | 910 | return str(id) |
|
906 | 911 | |
|
907 | 912 | def getElementName(self): |
|
908 | 913 | |
|
909 | 914 | return self.ELEMENTNAME |
|
910 | 915 | |
|
911 | 916 | def getId(self): |
|
912 | 917 | |
|
913 | 918 | return self.id |
|
914 | 919 | |
|
915 | 920 | def updateId(self, new_id): |
|
916 | 921 | |
|
917 | 922 | self.id = str(new_id) |
|
918 | 923 | |
|
919 | 924 | keyList = list(self.procUnitConfObjDict.keys()) |
|
920 | 925 | keyList.sort() |
|
921 | 926 | |
|
922 | 927 | n = 1 |
|
923 | 928 | newProcUnitConfObjDict = {} |
|
924 | 929 | |
|
925 | 930 | for procKey in keyList: |
|
926 | 931 | |
|
927 | 932 | procUnitConfObj = self.procUnitConfObjDict[procKey] |
|
928 | 933 | idProcUnit = str(int(self.id) * 10 + n) |
|
929 | 934 | procUnitConfObj.updateId(idProcUnit) |
|
930 | 935 | newProcUnitConfObjDict[idProcUnit] = procUnitConfObj |
|
931 | 936 | n += 1 |
|
932 | 937 | |
|
933 | 938 | self.procUnitConfObjDict = newProcUnitConfObjDict |
|
934 | 939 | |
|
935 | 940 | def setup(self, id=1, name='', description='', email=None, alarm=[]): |
|
936 | 941 | |
|
937 | 942 | print(' ') |
|
938 | 943 | print('*' * 60) |
|
939 | 944 | print('* Starting SIGNAL CHAIN PROCESSING (Multiprocessing) v%s *' % schainpy.__version__) |
|
940 | 945 | print('*' * 60) |
|
941 | 946 | print("* Python " + python_version() + " *") |
|
942 | 947 | print('*' * 19) |
|
943 | 948 | print(' ') |
|
944 | 949 | self.id = str(id) |
|
945 | 950 |
self.description = description |
|
946 | 951 | self.email = email |
|
947 | 952 | self.alarm = alarm |
|
948 | 953 | if name: |
|
949 | 954 | self.name = '{} ({})'.format(Process.__name__, name) |
|
950 | 955 | |
|
951 | 956 | def update(self, **kwargs): |
|
952 | 957 | |
|
953 | 958 | for key, value in list(kwargs.items()): |
|
954 | 959 | setattr(self, key, value) |
|
955 | 960 | |
|
956 | 961 | def clone(self): |
|
957 | 962 | |
|
958 | 963 | p = Project() |
|
959 | 964 | p.procUnitConfObjDict = self.procUnitConfObjDict |
|
960 | 965 | return p |
|
961 | 966 | |
|
962 | 967 | def addReadUnit(self, id=None, datatype=None, name=None, **kwargs): |
|
963 | 968 | |
|
964 | 969 | ''' |
|
965 | 970 | Actualizacion: |
|
966 | 971 | Se agrego un nuevo argumento: topic -relativo a la forma de comunicar los procesos simultaneos |
|
967 | 972 | |
|
968 | 973 | * El id del proceso sera el topico al que se deben subscribir los procUnits para recibir la informacion(data) |
|
969 | 974 | |
|
970 | 975 | ''' |
|
971 | 976 | |
|
972 | 977 | if id is None: |
|
973 | 978 | idReadUnit = self.__getNewId() |
|
974 | 979 | else: |
|
975 | 980 | idReadUnit = str(id) |
|
976 | 981 | |
|
977 | 982 | readUnitConfObj = ReadUnitConf() |
|
978 | 983 | readUnitConfObj.setup(self.id, idReadUnit, name, datatype, self.err_queue, **kwargs) |
|
979 | 984 | self.procUnitConfObjDict[readUnitConfObj.getId()] = readUnitConfObj |
|
980 | 985 | |
|
981 | 986 | return readUnitConfObj |
|
982 | 987 | |
|
983 | 988 | def addProcUnit(self, inputId='0', datatype=None, name=None): |
|
984 | 989 | |
|
985 | 990 | ''' |
|
986 | 991 | Actualizacion: |
|
987 | 992 | Se agrego dos nuevos argumentos: topic_read (lee data de otro procUnit) y topic_write(escribe o envia data a otro procUnit) |
|
988 | 993 | Deberia reemplazar a "inputId" |
|
989 | 994 | |
|
990 | 995 | ** A fin de mantener el inputID, este sera la representaacion del topicoal que deben subscribirse. El ID propio de la intancia |
|
991 | 996 | (proceso) sera el topico de la publicacion, todo sera asignado de manera dinamica. |
|
992 | 997 | |
|
993 | 998 | ''' |
|
994 | 999 | |
|
995 | 1000 | idProcUnit = self.__getNewId() |
|
996 | 1001 | procUnitConfObj = ProcUnitConf() |
|
997 | 1002 |
input_proc = self.procUnitConfObjDict[inputId] |
|
998 | 1003 | procUnitConfObj.setup(self.id, idProcUnit, name, datatype, inputId, self.err_queue, input_proc.lock) |
|
999 | 1004 | self.procUnitConfObjDict[procUnitConfObj.getId()] = procUnitConfObj |
|
1000 | 1005 | |
|
1001 | 1006 | return procUnitConfObj |
|
1002 | 1007 | |
|
1003 | 1008 | def removeProcUnit(self, id): |
|
1004 | 1009 | |
|
1005 | 1010 | if id in list(self.procUnitConfObjDict.keys()): |
|
1006 | 1011 | self.procUnitConfObjDict.pop(id) |
|
1007 | 1012 | |
|
1008 | 1013 | def getReadUnitId(self): |
|
1009 | 1014 | |
|
1010 | 1015 | readUnitConfObj = self.getReadUnitObj() |
|
1011 | 1016 | |
|
1012 | 1017 | return readUnitConfObj.id |
|
1013 | 1018 | |
|
1014 | 1019 | def getReadUnitObj(self): |
|
1015 | 1020 | |
|
1016 | 1021 | for obj in list(self.procUnitConfObjDict.values()): |
|
1017 | 1022 | if obj.getElementName() == 'ReadUnit': |
|
1018 | 1023 | return obj |
|
1019 | 1024 | |
|
1020 | 1025 | return None |
|
1021 | 1026 | |
|
1022 | 1027 | def getProcUnitObj(self, id=None, name=None): |
|
1023 | 1028 | |
|
1024 | 1029 | if id != None: |
|
1025 | 1030 | return self.procUnitConfObjDict[id] |
|
1026 | 1031 | |
|
1027 | 1032 | if name != None: |
|
1028 | 1033 | return self.getProcUnitObjByName(name) |
|
1029 | 1034 | |
|
1030 | 1035 | return None |
|
1031 | 1036 | |
|
1032 | 1037 | def getProcUnitObjByName(self, name): |
|
1033 | 1038 | |
|
1034 | 1039 | for obj in list(self.procUnitConfObjDict.values()): |
|
1035 | 1040 | if obj.name == name: |
|
1036 | 1041 | return obj |
|
1037 | 1042 | |
|
1038 | 1043 | return None |
|
1039 | 1044 | |
|
1040 | 1045 | def procUnitItems(self): |
|
1041 | 1046 | |
|
1042 | 1047 | return list(self.procUnitConfObjDict.items()) |
|
1043 | 1048 | |
|
1044 | 1049 | def makeXml(self): |
|
1045 | 1050 | |
|
1046 | 1051 | projectElement = Element('Project') |
|
1047 | 1052 | projectElement.set('id', str(self.id)) |
|
1048 | 1053 | projectElement.set('name', self.name) |
|
1049 | 1054 | projectElement.set('description', self.description) |
|
1050 | 1055 | |
|
1051 | 1056 | for procUnitConfObj in list(self.procUnitConfObjDict.values()): |
|
1052 | 1057 | procUnitConfObj.makeXml(projectElement) |
|
1053 | 1058 | |
|
1054 | 1059 | self.projectElement = projectElement |
|
1055 | 1060 | |
|
1056 | 1061 | def writeXml(self, filename=None): |
|
1057 | 1062 | |
|
1058 | 1063 | if filename == None: |
|
1059 | 1064 | if self.filename: |
|
1060 | 1065 | filename = self.filename |
|
1061 | 1066 | else: |
|
1062 | 1067 | filename = 'schain.xml' |
|
1063 | 1068 | |
|
1064 | 1069 | if not filename: |
|
1065 | 1070 | print('filename has not been defined. Use setFilename(filename) for do it.') |
|
1066 | 1071 | return 0 |
|
1067 | 1072 | |
|
1068 | 1073 | abs_file = os.path.abspath(filename) |
|
1069 | 1074 | |
|
1070 | 1075 | if not os.access(os.path.dirname(abs_file), os.W_OK): |
|
1071 | 1076 | print('No write permission on %s' % os.path.dirname(abs_file)) |
|
1072 | 1077 | return 0 |
|
1073 | 1078 | |
|
1074 | 1079 | if os.path.isfile(abs_file) and not(os.access(abs_file, os.W_OK)): |
|
1075 | 1080 | print('File %s already exists and it could not be overwriten' % abs_file) |
|
1076 | 1081 | return 0 |
|
1077 | 1082 | |
|
1078 | 1083 | self.makeXml() |
|
1079 | 1084 | |
|
1080 | 1085 | ElementTree(self.projectElement).write(abs_file, method='xml') |
|
1081 | 1086 | |
|
1082 | 1087 | self.filename = abs_file |
|
1083 | 1088 | |
|
1084 | 1089 | return 1 |
|
1085 | 1090 | |
|
1086 | 1091 | def readXml(self, filename=None): |
|
1087 | 1092 | |
|
1088 | 1093 | if not filename: |
|
1089 | 1094 | print('filename is not defined') |
|
1090 | 1095 | return 0 |
|
1091 | 1096 | |
|
1092 | 1097 | abs_file = os.path.abspath(filename) |
|
1093 | 1098 | |
|
1094 | 1099 | if not os.path.isfile(abs_file): |
|
1095 | 1100 | print('%s file does not exist' % abs_file) |
|
1096 | 1101 | return 0 |
|
1097 | 1102 | |
|
1098 | 1103 | self.projectElement = None |
|
1099 | 1104 | self.procUnitConfObjDict = {} |
|
1100 | 1105 | |
|
1101 | 1106 | try: |
|
1102 | 1107 | self.projectElement = ElementTree().parse(abs_file) |
|
1103 | 1108 | except: |
|
1104 | 1109 | print('Error reading %s, verify file format' % filename) |
|
1105 | 1110 | return 0 |
|
1106 | 1111 | |
|
1107 | 1112 | self.project = self.projectElement.tag |
|
1108 | 1113 | |
|
1109 | 1114 | self.id = self.projectElement.get('id') |
|
1110 | 1115 | self.name = self.projectElement.get('name') |
|
1111 | 1116 | self.description = self.projectElement.get('description') |
|
1112 | 1117 | |
|
1113 | 1118 | readUnitElementList = self.projectElement.iter( |
|
1114 | 1119 | ReadUnitConf().getElementName()) |
|
1115 | 1120 | |
|
1116 | 1121 | for readUnitElement in readUnitElementList: |
|
1117 | 1122 | readUnitConfObj = ReadUnitConf() |
|
1118 | 1123 | readUnitConfObj.readXml(readUnitElement, self.id) |
|
1119 | 1124 | self.procUnitConfObjDict[readUnitConfObj.getId()] = readUnitConfObj |
|
1120 | 1125 | |
|
1121 | 1126 | procUnitElementList = self.projectElement.iter( |
|
1122 | 1127 | ProcUnitConf().getElementName()) |
|
1123 | 1128 | |
|
1124 | 1129 | for procUnitElement in procUnitElementList: |
|
1125 | 1130 | procUnitConfObj = ProcUnitConf() |
|
1126 | 1131 | procUnitConfObj.readXml(procUnitElement, self.id) |
|
1127 | 1132 | self.procUnitConfObjDict[procUnitConfObj.getId()] = procUnitConfObj |
|
1128 | 1133 | |
|
1129 | 1134 | self.filename = abs_file |
|
1130 | 1135 | |
|
1131 | 1136 | return 1 |
|
1132 | 1137 | |
|
1133 | 1138 | def __str__(self): |
|
1134 | 1139 | |
|
1135 | 1140 | print('Project: name = %s, description = %s, id = %s' % ( |
|
1136 | 1141 | self.name, |
|
1137 | 1142 | self.description, |
|
1138 | 1143 | self.id)) |
|
1139 | 1144 | |
|
1140 | 1145 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
1141 | 1146 | print(procUnitConfObj) |
|
1142 | 1147 | |
|
1143 | 1148 | def createObjects(self): |
|
1144 | 1149 | |
|
1145 | 1150 | |
|
1146 | 1151 | keys = list(self.procUnitConfObjDict.keys()) |
|
1147 | 1152 | keys.sort() |
|
1148 | 1153 | for key in keys: |
|
1149 | 1154 | self.procUnitConfObjDict[key].createObjects() |
|
1150 | 1155 | |
|
1151 | 1156 | def monitor(self): |
|
1152 | 1157 | |
|
1153 | 1158 | t = Thread(target=self.__monitor, args=(self.err_queue, self.ctx)) |
|
1154 | 1159 | t.start() |
|
1155 | 1160 | |
|
1156 | 1161 | def __monitor(self, queue, ctx): |
|
1157 | 1162 | |
|
1158 | 1163 | import socket |
|
1159 | 1164 | |
|
1160 | 1165 | procs = 0 |
|
1161 | 1166 | err_msg = '' |
|
1162 | 1167 | |
|
1163 | 1168 | while True: |
|
1164 | 1169 | msg = queue.get() |
|
1165 | 1170 | if '#_start_#' in msg: |
|
1166 | 1171 | procs += 1 |
|
1167 | 1172 | elif '#_end_#' in msg: |
|
1168 | 1173 | procs -=1 |
|
1169 | 1174 | else: |
|
1170 | 1175 | err_msg = msg |
|
1171 | 1176 | |
|
1172 | 1177 |
if procs == 0 or 'Traceback' in err_msg: |
|
1173 | 1178 | break |
|
1174 | 1179 | time.sleep(0.1) |
|
1175 | 1180 | |
|
1176 | 1181 | if '|' in err_msg: |
|
1177 | 1182 | name, err = err_msg.split('|') |
|
1178 | 1183 | if 'SchainWarning' in err: |
|
1179 | 1184 | log.warning(err.split('SchainWarning:')[-1].split('\n')[0].strip(), name) |
|
1180 | 1185 | elif 'SchainError' in err: |
|
1181 | 1186 | log.error(err.split('SchainError:')[-1].split('\n')[0].strip(), name) |
|
1182 | 1187 | else: |
|
1183 | 1188 | log.error(err, name) |
|
1184 | 1189 |
else: |
|
1185 | 1190 | name, err = self.name, err_msg |
|
1186 | 1191 | |
|
1187 | 1192 | time.sleep(2) |
|
1188 | 1193 | |
|
1189 | 1194 | for conf in self.procUnitConfObjDict.values(): |
|
1190 | 1195 | for confop in conf.opConfObjList: |
|
1191 | 1196 | if confop.type == 'external': |
|
1192 | 1197 | confop.opObj.terminate() |
|
1193 | 1198 | conf.procUnitObj.terminate() |
|
1194 | 1199 | |
|
1195 | 1200 | ctx.term() |
|
1196 | 1201 | |
|
1197 | 1202 | message = ''.join(err) |
|
1198 | 1203 | |
|
1199 | 1204 | if err_msg: |
|
1200 | 1205 | subject = 'SChain v%s: Error running %s\n' % ( |
|
1201 | 1206 | schainpy.__version__, self.name) |
|
1202 | 1207 | |
|
1203 | 1208 | subtitle = 'Hostname: %s\n' % socket.gethostbyname( |
|
1204 | 1209 | socket.gethostname()) |
|
1205 | 1210 | subtitle += 'Working directory: %s\n' % os.path.abspath('./') |
|
1206 | 1211 | subtitle += 'Configuration file: %s\n' % self.filename |
|
1207 | 1212 | subtitle += 'Time: %s\n' % str(datetime.datetime.now()) |
|
1208 | 1213 | |
|
1209 | 1214 | readUnitConfObj = self.getReadUnitObj() |
|
1210 | 1215 | if readUnitConfObj: |
|
1211 | 1216 | subtitle += '\nInput parameters:\n' |
|
1212 | 1217 | subtitle += '[Data path = %s]\n' % readUnitConfObj.path |
|
1213 | 1218 | subtitle += '[Data type = %s]\n' % readUnitConfObj.datatype |
|
1214 | 1219 | subtitle += '[Start date = %s]\n' % readUnitConfObj.startDate |
|
1215 | 1220 | subtitle += '[End date = %s]\n' % readUnitConfObj.endDate |
|
1216 | 1221 | subtitle += '[Start time = %s]\n' % readUnitConfObj.startTime |
|
1217 | 1222 | subtitle += '[End time = %s]\n' % readUnitConfObj.endTime |
|
1218 | 1223 | |
|
1219 | 1224 | a = Alarm( |
|
1220 | 1225 |
modes=self.alarm, |
|
1221 | 1226 | email=self.email, |
|
1222 | 1227 | message=message, |
|
1223 | 1228 | subject=subject, |
|
1224 | 1229 | subtitle=subtitle, |
|
1225 | 1230 | filename=self.filename |
|
1226 | 1231 | ) |
|
1227 | 1232 | |
|
1228 | 1233 | a.start() |
|
1229 | 1234 | |
|
1230 | 1235 | def isPaused(self): |
|
1231 | 1236 | return 0 |
|
1232 | 1237 | |
|
1233 | 1238 | def isStopped(self): |
|
1234 | 1239 | return 0 |
|
1235 | 1240 | |
|
1236 | 1241 | def runController(self): |
|
1237 | 1242 | ''' |
|
1238 | 1243 | returns 0 when this process has been stopped, 1 otherwise |
|
1239 | 1244 | ''' |
|
1240 | 1245 | |
|
1241 | 1246 | if self.isPaused(): |
|
1242 | 1247 | print('Process suspended') |
|
1243 | 1248 | |
|
1244 | 1249 | while True: |
|
1245 | 1250 | time.sleep(0.1) |
|
1246 | 1251 | |
|
1247 | 1252 | if not self.isPaused(): |
|
1248 | 1253 | break |
|
1249 | 1254 | |
|
1250 | 1255 | if self.isStopped(): |
|
1251 | 1256 | break |
|
1252 | 1257 | |
|
1253 | 1258 | print('Process reinitialized') |
|
1254 | 1259 | |
|
1255 | 1260 | if self.isStopped(): |
|
1256 | 1261 | print('Process stopped') |
|
1257 | 1262 | return 0 |
|
1258 | 1263 | |
|
1259 | 1264 | return 1 |
|
1260 | 1265 | |
|
1261 | 1266 | def setFilename(self, filename): |
|
1262 | 1267 | |
|
1263 | 1268 | self.filename = filename |
|
1264 | 1269 | |
|
1265 | 1270 | def setProxy(self): |
|
1266 | 1271 | |
|
1267 | 1272 | if not os.path.exists('/tmp/schain'): |
|
1268 | 1273 | os.mkdir('/tmp/schain') |
|
1269 | 1274 | |
|
1270 | 1275 | self.ctx = zmq.Context() |
|
1271 | 1276 | xpub = self.ctx.socket(zmq.XPUB) |
|
1272 | 1277 | xpub.bind('ipc:///tmp/schain/{}_pub'.format(self.id)) |
|
1273 | 1278 | xsub = self.ctx.socket(zmq.XSUB) |
|
1274 | 1279 | xsub.bind('ipc:///tmp/schain/{}_sub'.format(self.id)) |
|
1275 | 1280 | self.monitor() |
|
1276 | 1281 | try: |
|
1277 | 1282 | zmq.proxy(xpub, xsub) |
|
1278 | 1283 | except zmq.ContextTerminated: |
|
1279 | 1284 | xpub.close() |
|
1280 | 1285 | xsub.close() |
|
1281 | 1286 | |
|
1282 | 1287 | def run(self): |
|
1283 | 1288 | |
|
1284 | 1289 | log.success('Starting {}: {}'.format(self.name, self.id), tag='') |
|
1285 | 1290 |
self.start_time = time.time() |
|
1286 | 1291 |
self.createObjects() |
|
1287 | 1292 |
self.setProxy() |
|
1288 | 1293 | log.success('{} Done (Time: {}s)'.format( |
|
1289 | 1294 | self.name, |
|
1290 | 1295 | time.time()-self.start_time), '') |
|
1 | NO CONTENT: modified file |
|
1 | NO CONTENT: modified file |
@@ -1,810 +1,808 | |||
|
1 | 1 | |
|
2 | 2 | import os |
|
3 | 3 | import sys |
|
4 | 4 | import zmq |
|
5 | 5 | import time |
|
6 | 6 | import numpy |
|
7 | 7 | import datetime |
|
8 | 8 | from functools import wraps |
|
9 | 9 | from threading import Thread |
|
10 | 10 | import matplotlib |
|
11 | 11 | |
|
12 | 12 | if 'BACKEND' in os.environ: |
|
13 | 13 | matplotlib.use(os.environ['BACKEND']) |
|
14 | 14 | elif 'linux' in sys.platform: |
|
15 | 15 | matplotlib.use("TkAgg") |
|
16 | 16 | elif 'darwin' in sys.platform: |
|
17 | 17 | matplotlib.use('WxAgg') |
|
18 | 18 | else: |
|
19 | 19 | from schainpy.utils import log |
|
20 | 20 | log.warning('Using default Backend="Agg"', 'INFO') |
|
21 | 21 | matplotlib.use('Agg') |
|
22 | 22 | |
|
23 | 23 | import matplotlib.pyplot as plt |
|
24 | 24 | from matplotlib.patches import Polygon |
|
25 | 25 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
26 | 26 | from matplotlib.ticker import FuncFormatter, LinearLocator, MultipleLocator |
|
27 | 27 | |
|
28 | 28 | from schainpy.model.data.jrodata import PlotterData |
|
29 | 29 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
30 | 30 | from schainpy.utils import log |
|
31 | 31 | |
|
32 | 32 | jet_values = matplotlib.pyplot.get_cmap('jet', 100)(numpy.arange(100))[10:90] |
|
33 | 33 | blu_values = matplotlib.pyplot.get_cmap( |
|
34 | 34 | 'seismic_r', 20)(numpy.arange(20))[10:15] |
|
35 | 35 | ncmap = matplotlib.colors.LinearSegmentedColormap.from_list( |
|
36 | 36 | 'jro', numpy.vstack((blu_values, jet_values))) |
|
37 | 37 | matplotlib.pyplot.register_cmap(cmap=ncmap) |
|
38 | 38 | |
|
39 | 39 | CMAPS = [plt.get_cmap(s) for s in ('jro', 'jet', 'viridis', |
|
40 | 40 | 'plasma', 'inferno', 'Greys', 'seismic', 'bwr', 'coolwarm')] |
|
41 | 41 | |
|
42 | 42 | EARTH_RADIUS = 6.3710e3 |
|
43 | 43 | |
|
44 | 44 | def ll2xy(lat1, lon1, lat2, lon2): |
|
45 | 45 | |
|
46 | 46 | p = 0.017453292519943295 |
|
47 | 47 | a = 0.5 - numpy.cos((lat2 - lat1) * p)/2 + numpy.cos(lat1 * p) * \ |
|
48 | 48 | numpy.cos(lat2 * p) * (1 - numpy.cos((lon2 - lon1) * p)) / 2 |
|
49 | 49 | r = 12742 * numpy.arcsin(numpy.sqrt(a)) |
|
50 | 50 | theta = numpy.arctan2(numpy.sin((lon2-lon1)*p)*numpy.cos(lat2*p), numpy.cos(lat1*p) |
|
51 | 51 | * numpy.sin(lat2*p)-numpy.sin(lat1*p)*numpy.cos(lat2*p)*numpy.cos((lon2-lon1)*p)) |
|
52 | 52 | theta = -theta + numpy.pi/2 |
|
53 | 53 | return r*numpy.cos(theta), r*numpy.sin(theta) |
|
54 | 54 | |
|
55 | 55 | |
|
56 | 56 | def km2deg(km): |
|
57 | 57 | ''' |
|
58 | 58 | Convert distance in km to degrees |
|
59 | 59 | ''' |
|
60 | 60 | |
|
61 | 61 | return numpy.rad2deg(km/EARTH_RADIUS) |
|
62 | 62 | |
|
63 | 63 | |
|
64 | 64 | def figpause(interval): |
|
65 | 65 | backend = plt.rcParams['backend'] |
|
66 | 66 | if backend in matplotlib.rcsetup.interactive_bk: |
|
67 | 67 | figManager = matplotlib._pylab_helpers.Gcf.get_active() |
|
68 | 68 | if figManager is not None: |
|
69 | 69 | canvas = figManager.canvas |
|
70 | 70 | if canvas.figure.stale: |
|
71 | 71 | canvas.draw() |
|
72 | 72 | try: |
|
73 | 73 | canvas.start_event_loop(interval) |
|
74 | 74 | except: |
|
75 | 75 | pass |
|
76 | 76 | return |
|
77 | 77 | |
|
78 | 78 | |
|
79 | 79 | def popup(message): |
|
80 | 80 | ''' |
|
81 | 81 | ''' |
|
82 | 82 | |
|
83 | 83 | fig = plt.figure(figsize=(12, 8), facecolor='r') |
|
84 | 84 | text = '\n'.join([s.strip() for s in message.split(':')]) |
|
85 | 85 | fig.text(0.01, 0.5, text, ha='left', va='center', |
|
86 | 86 | size='20', weight='heavy', color='w') |
|
87 | 87 | fig.show() |
|
88 | 88 | figpause(1000) |
|
89 | 89 | |
|
90 | 90 | |
|
91 | 91 | class Throttle(object): |
|
92 | 92 | ''' |
|
93 | 93 | Decorator that prevents a function from being called more than once every |
|
94 | 94 | time period. |
|
95 | 95 | To create a function that cannot be called more than once a minute, but |
|
96 | 96 | will sleep until it can be called: |
|
97 | 97 | @Throttle(minutes=1) |
|
98 | 98 | def foo(): |
|
99 | 99 | pass |
|
100 | 100 | |
|
101 | 101 | for i in range(10): |
|
102 | 102 | foo() |
|
103 | 103 | print "This function has run %s times." % i |
|
104 | 104 | ''' |
|
105 | 105 | |
|
106 | 106 | def __init__(self, seconds=0, minutes=0, hours=0): |
|
107 | 107 | self.throttle_period = datetime.timedelta( |
|
108 | 108 | seconds=seconds, minutes=minutes, hours=hours |
|
109 | 109 | ) |
|
110 | 110 | |
|
111 | 111 | self.time_of_last_call = datetime.datetime.min |
|
112 | 112 | |
|
113 | 113 | def __call__(self, fn): |
|
114 | 114 | @wraps(fn) |
|
115 | 115 | def wrapper(*args, **kwargs): |
|
116 | 116 | coerce = kwargs.pop('coerce', None) |
|
117 | 117 | if coerce: |
|
118 | 118 | self.time_of_last_call = datetime.datetime.now() |
|
119 | 119 | return fn(*args, **kwargs) |
|
120 | 120 | else: |
|
121 | 121 | now = datetime.datetime.now() |
|
122 | 122 | time_since_last_call = now - self.time_of_last_call |
|
123 | 123 | time_left = self.throttle_period - time_since_last_call |
|
124 | 124 | |
|
125 | 125 | if time_left > datetime.timedelta(seconds=0): |
|
126 | 126 | return |
|
127 | 127 | |
|
128 | 128 | self.time_of_last_call = datetime.datetime.now() |
|
129 | 129 | return fn(*args, **kwargs) |
|
130 | 130 | |
|
131 | 131 | return wrapper |
|
132 | 132 | |
|
133 | 133 | def apply_throttle(value): |
|
134 | 134 | |
|
135 | 135 | @Throttle(seconds=value) |
|
136 | 136 | def fnThrottled(fn): |
|
137 | 137 | fn() |
|
138 | 138 | |
|
139 | 139 | return fnThrottled |
|
140 | 140 | |
|
141 | 141 | |
|
142 | 142 | @MPDecorator |
|
143 | 143 | class Plot(Operation): |
|
144 | 144 | ''' |
|
145 | 145 | Base class for Schain plotting operations |
|
146 | 146 | ''' |
|
147 | 147 | |
|
148 | 148 | CODE = 'Figure' |
|
149 | 149 | colormap = 'jet' |
|
150 | 150 | bgcolor = 'white' |
|
151 | 151 | __missing = 1E30 |
|
152 | 152 | |
|
153 | 153 | __attrs__ = ['show', 'save', 'xmin', 'xmax', 'ymin', 'ymax', 'zmin', 'zmax', |
|
154 | 154 | 'zlimits', 'xlabel', 'ylabel', 'xaxis', 'cb_label', 'title', |
|
155 | 155 | 'colorbar', 'bgcolor', 'width', 'height', 'localtime', 'oneFigure', |
|
156 | 156 | 'showprofile', 'decimation', 'pause'] |
|
157 | 157 | |
|
158 | 158 | def __init__(self): |
|
159 | 159 | |
|
160 | 160 | Operation.__init__(self) |
|
161 | 161 | self.isConfig = False |
|
162 | 162 | self.isPlotConfig = False |
|
163 | 163 | self.save_counter = 1 |
|
164 | 164 | self.sender_counter = 1 |
|
165 | 165 | self.data = None |
|
166 | 166 | |
|
167 | 167 | def __fmtTime(self, x, pos): |
|
168 | 168 | ''' |
|
169 | 169 | ''' |
|
170 | 170 | |
|
171 | 171 | return '{}'.format(self.getDateTime(x).strftime('%H:%M')) |
|
172 | 172 | |
|
173 | 173 | def __setup(self, **kwargs): |
|
174 | 174 | ''' |
|
175 | 175 | Initialize variables |
|
176 | 176 | ''' |
|
177 | 177 | |
|
178 | 178 | self.figures = [] |
|
179 | 179 | self.axes = [] |
|
180 | 180 | self.cb_axes = [] |
|
181 | 181 | self.localtime = kwargs.pop('localtime', True) |
|
182 | 182 | self.show = kwargs.get('show', True) |
|
183 | 183 | self.save = kwargs.get('save', False) |
|
184 | 184 | self.save_period = kwargs.get('save_period', 1) |
|
185 | 185 | self.ftp = kwargs.get('ftp', False) |
|
186 | 186 | self.colormap = kwargs.get('colormap', self.colormap) |
|
187 | 187 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') |
|
188 | 188 | self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') |
|
189 | 189 | self.colormaps = kwargs.get('colormaps', None) |
|
190 | 190 | self.bgcolor = kwargs.get('bgcolor', self.bgcolor) |
|
191 | 191 | self.showprofile = kwargs.get('showprofile', False) |
|
192 | 192 | self.title = kwargs.get('wintitle', self.CODE.upper()) |
|
193 | 193 | self.cb_label = kwargs.get('cb_label', None) |
|
194 | 194 | self.cb_labels = kwargs.get('cb_labels', None) |
|
195 | 195 | self.labels = kwargs.get('labels', None) |
|
196 | 196 | self.xaxis = kwargs.get('xaxis', 'frequency') |
|
197 | 197 | self.zmin = kwargs.get('zmin', None) |
|
198 | 198 | self.zmax = kwargs.get('zmax', None) |
|
199 | 199 | self.zlimits = kwargs.get('zlimits', None) |
|
200 | 200 | self.xmin = kwargs.get('xmin', None) |
|
201 | 201 | self.xmax = kwargs.get('xmax', None) |
|
202 | 202 | self.xrange = kwargs.get('xrange', 24) |
|
203 | 203 | self.xscale = kwargs.get('xscale', None) |
|
204 | 204 | self.ymin = kwargs.get('ymin', None) |
|
205 | 205 | self.ymax = kwargs.get('ymax', None) |
|
206 | 206 | self.yscale = kwargs.get('yscale', None) |
|
207 | 207 | self.xlabel = kwargs.get('xlabel', None) |
|
208 | 208 | self.decimation = kwargs.get('decimation', None) |
|
209 | 209 | self.showSNR = kwargs.get('showSNR', False) |
|
210 | 210 | self.oneFigure = kwargs.get('oneFigure', True) |
|
211 | 211 | self.width = kwargs.get('width', None) |
|
212 | 212 | self.height = kwargs.get('height', None) |
|
213 | 213 | self.colorbar = kwargs.get('colorbar', True) |
|
214 | 214 | self.factors = kwargs.get('factors', [1, 1, 1, 1, 1, 1, 1, 1]) |
|
215 | 215 | self.channels = kwargs.get('channels', None) |
|
216 | 216 | self.titles = kwargs.get('titles', []) |
|
217 | 217 | self.polar = False |
|
218 | 218 | self.type = kwargs.get('type', 'iq') |
|
219 | 219 | self.grid = kwargs.get('grid', False) |
|
220 | 220 | self.pause = kwargs.get('pause', False) |
|
221 | 221 | self.save_labels = kwargs.get('save_labels', None) |
|
222 | 222 | self.realtime = kwargs.get('realtime', True) |
|
223 | 223 | self.buffering = kwargs.get('buffering', True) |
|
224 | 224 | self.throttle = kwargs.get('throttle', 2) |
|
225 | 225 | self.exp_code = kwargs.get('exp_code', None) |
|
226 | 226 | self.plot_server = kwargs.get('plot_server', False) |
|
227 | 227 | self.sender_period = kwargs.get('sender_period', 1) |
|
228 | 228 | self.__throttle_plot = apply_throttle(self.throttle) |
|
229 | 229 | self.data = PlotterData( |
|
230 | 230 | self.CODE, self.throttle, self.exp_code, self.buffering, snr=self.showSNR) |
|
231 | 231 | |
|
232 | 232 | if self.plot_server: |
|
233 | 233 | if not self.plot_server.startswith('tcp://'): |
|
234 | 234 | self.plot_server = 'tcp://{}'.format(self.plot_server) |
|
235 | 235 | log.success( |
|
236 | 236 | 'Sending to server: {}'.format(self.plot_server), |
|
237 | 237 | self.name |
|
238 | 238 | ) |
|
239 | 239 | if 'plot_name' in kwargs: |
|
240 | 240 | self.plot_name = kwargs['plot_name'] |
|
241 | 241 | |
|
242 | 242 | def __setup_plot(self): |
|
243 | 243 | ''' |
|
244 | 244 | Common setup for all figures, here figures and axes are created |
|
245 | 245 | ''' |
|
246 | 246 | |
|
247 | 247 | self.setup() |
|
248 | 248 | |
|
249 | 249 |
self.time_label = 'LT' if self.localtime else 'UTC' |
|
250 | 250 | |
|
251 | 251 | if self.width is None: |
|
252 | 252 | self.width = 8 |
|
253 | 253 | |
|
254 | 254 | self.figures = [] |
|
255 | 255 | self.axes = [] |
|
256 | 256 | self.cb_axes = [] |
|
257 | 257 | self.pf_axes = [] |
|
258 | 258 | self.cmaps = [] |
|
259 | 259 | |
|
260 | 260 | size = '15%' if self.ncols == 1 else '30%' |
|
261 | 261 | pad = '4%' if self.ncols == 1 else '8%' |
|
262 | 262 | |
|
263 | 263 | if self.oneFigure: |
|
264 | 264 | if self.height is None: |
|
265 | 265 | self.height = 1.4 * self.nrows + 1 |
|
266 | 266 | fig = plt.figure(figsize=(self.width, self.height), |
|
267 | 267 | edgecolor='k', |
|
268 | 268 | facecolor='w') |
|
269 | 269 | self.figures.append(fig) |
|
270 | 270 | for n in range(self.nplots): |
|
271 | 271 | ax = fig.add_subplot(self.nrows, self.ncols, |
|
272 | 272 | n + 1, polar=self.polar) |
|
273 | 273 | ax.tick_params(labelsize=8) |
|
274 | 274 | ax.firsttime = True |
|
275 | 275 | ax.index = 0 |
|
276 | 276 | ax.press = None |
|
277 | 277 | self.axes.append(ax) |
|
278 | 278 | if self.showprofile: |
|
279 | 279 | cax = self.__add_axes(ax, size=size, pad=pad) |
|
280 | 280 | cax.tick_params(labelsize=8) |
|
281 | 281 | self.pf_axes.append(cax) |
|
282 | 282 | else: |
|
283 | 283 | if self.height is None: |
|
284 | 284 | self.height = 3 |
|
285 | 285 | for n in range(self.nplots): |
|
286 | 286 | fig = plt.figure(figsize=(self.width, self.height), |
|
287 | 287 | edgecolor='k', |
|
288 | 288 | facecolor='w') |
|
289 | 289 | ax = fig.add_subplot(1, 1, 1, polar=self.polar) |
|
290 | 290 | ax.tick_params(labelsize=8) |
|
291 | 291 | ax.firsttime = True |
|
292 | 292 | ax.index = 0 |
|
293 | 293 | ax.press = None |
|
294 | 294 | self.figures.append(fig) |
|
295 | 295 | self.axes.append(ax) |
|
296 | 296 | if self.showprofile: |
|
297 | 297 | cax = self.__add_axes(ax, size=size, pad=pad) |
|
298 | 298 | cax.tick_params(labelsize=8) |
|
299 | 299 | self.pf_axes.append(cax) |
|
300 | 300 | |
|
301 | 301 | for n in range(self.nrows): |
|
302 | 302 | if self.colormaps is not None: |
|
303 | 303 | cmap = plt.get_cmap(self.colormaps[n]) |
|
304 | 304 | else: |
|
305 | 305 | cmap = plt.get_cmap(self.colormap) |
|
306 | 306 | cmap.set_bad(self.bgcolor, 1.) |
|
307 | 307 | self.cmaps.append(cmap) |
|
308 | 308 | |
|
309 | 309 | for fig in self.figures: |
|
310 | 310 | fig.canvas.mpl_connect('key_press_event', self.OnKeyPress) |
|
311 | 311 | fig.canvas.mpl_connect('scroll_event', self.OnBtnScroll) |
|
312 | 312 | fig.canvas.mpl_connect('button_press_event', self.onBtnPress) |
|
313 | 313 | fig.canvas.mpl_connect('motion_notify_event', self.onMotion) |
|
314 | 314 | fig.canvas.mpl_connect('button_release_event', self.onBtnRelease) |
|
315 | 315 | |
|
316 | 316 | def OnKeyPress(self, event): |
|
317 | 317 | ''' |
|
318 | 318 | Event for pressing keys (up, down) change colormap |
|
319 | 319 | ''' |
|
320 | 320 | ax = event.inaxes |
|
321 | 321 | if ax in self.axes: |
|
322 | 322 | if event.key == 'down': |
|
323 | 323 | ax.index += 1 |
|
324 | 324 | elif event.key == 'up': |
|
325 | 325 | ax.index -= 1 |
|
326 | 326 | if ax.index < 0: |
|
327 | 327 | ax.index = len(CMAPS) - 1 |
|
328 | 328 | elif ax.index == len(CMAPS): |
|
329 | 329 | ax.index = 0 |
|
330 | 330 | cmap = CMAPS[ax.index] |
|
331 | 331 | ax.cbar.set_cmap(cmap) |
|
332 | 332 | ax.cbar.draw_all() |
|
333 | 333 | ax.plt.set_cmap(cmap) |
|
334 | 334 | ax.cbar.patch.figure.canvas.draw() |
|
335 | 335 | self.colormap = cmap.name |
|
336 | 336 | |
|
337 | 337 | def OnBtnScroll(self, event): |
|
338 | 338 | ''' |
|
339 | 339 | Event for scrolling, scale figure |
|
340 | 340 | ''' |
|
341 | 341 | cb_ax = event.inaxes |
|
342 | 342 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: |
|
343 | 343 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] |
|
344 | 344 | pt = ax.cbar.ax.bbox.get_points()[:, 1] |
|
345 | 345 | nrm = ax.cbar.norm |
|
346 | 346 | vmin, vmax, p0, p1, pS = ( |
|
347 | 347 | nrm.vmin, nrm.vmax, pt[0], pt[1], event.y) |
|
348 | 348 | scale = 2 if event.step == 1 else 0.5 |
|
349 | 349 | point = vmin + (vmax - vmin) / (p1 - p0) * (pS - p0) |
|
350 | 350 | ax.cbar.norm.vmin = point - scale * (point - vmin) |
|
351 | 351 | ax.cbar.norm.vmax = point - scale * (point - vmax) |
|
352 | 352 | ax.plt.set_norm(ax.cbar.norm) |
|
353 | 353 | ax.cbar.draw_all() |
|
354 | 354 | ax.cbar.patch.figure.canvas.draw() |
|
355 | 355 | |
|
356 | 356 | def onBtnPress(self, event): |
|
357 | 357 | ''' |
|
358 | 358 | Event for mouse button press |
|
359 | 359 | ''' |
|
360 | 360 | cb_ax = event.inaxes |
|
361 | 361 | if cb_ax is None: |
|
362 | 362 | return |
|
363 | 363 | |
|
364 | 364 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: |
|
365 | 365 | cb_ax.press = event.x, event.y |
|
366 | 366 | else: |
|
367 | 367 | cb_ax.press = None |
|
368 | 368 | |
|
369 | 369 | def onMotion(self, event): |
|
370 | 370 | ''' |
|
371 | 371 | Event for move inside colorbar |
|
372 | 372 | ''' |
|
373 | 373 | cb_ax = event.inaxes |
|
374 | 374 | if cb_ax is None: |
|
375 | 375 | return |
|
376 | 376 | if cb_ax not in [ax.cbar.ax for ax in self.axes if ax.cbar]: |
|
377 | 377 | return |
|
378 | 378 | if cb_ax.press is None: |
|
379 | 379 | return |
|
380 | 380 | |
|
381 | 381 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] |
|
382 | 382 | xprev, yprev = cb_ax.press |
|
383 | 383 | dx = event.x - xprev |
|
384 | 384 | dy = event.y - yprev |
|
385 | 385 | cb_ax.press = event.x, event.y |
|
386 | 386 | scale = ax.cbar.norm.vmax - ax.cbar.norm.vmin |
|
387 | 387 | perc = 0.03 |
|
388 | 388 | |
|
389 | 389 | if event.button == 1: |
|
390 | 390 | ax.cbar.norm.vmin -= (perc * scale) * numpy.sign(dy) |
|
391 | 391 | ax.cbar.norm.vmax -= (perc * scale) * numpy.sign(dy) |
|
392 | 392 | elif event.button == 3: |
|
393 | 393 | ax.cbar.norm.vmin -= (perc * scale) * numpy.sign(dy) |
|
394 | 394 | ax.cbar.norm.vmax += (perc * scale) * numpy.sign(dy) |
|
395 | 395 | |
|
396 | 396 | ax.cbar.draw_all() |
|
397 | 397 | ax.plt.set_norm(ax.cbar.norm) |
|
398 | 398 | ax.cbar.patch.figure.canvas.draw() |
|
399 | 399 | |
|
400 | 400 | def onBtnRelease(self, event): |
|
401 | 401 | ''' |
|
402 | 402 | Event for mouse button release |
|
403 | 403 | ''' |
|
404 | 404 | cb_ax = event.inaxes |
|
405 | 405 | if cb_ax is not None: |
|
406 | 406 | cb_ax.press = None |
|
407 | 407 | |
|
408 | 408 | def __add_axes(self, ax, size='30%', pad='8%'): |
|
409 | 409 | ''' |
|
410 | 410 | Add new axes to the given figure |
|
411 | 411 | ''' |
|
412 | 412 | divider = make_axes_locatable(ax) |
|
413 | 413 | nax = divider.new_horizontal(size=size, pad=pad) |
|
414 | 414 | ax.figure.add_axes(nax) |
|
415 | 415 | return nax |
|
416 | 416 | |
|
417 | 417 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): |
|
418 | 418 | ''' |
|
419 | 419 | Create a masked array for missing data |
|
420 | 420 | ''' |
|
421 | 421 | if x_buffer.shape[0] < 2: |
|
422 | 422 | return x_buffer, y_buffer, z_buffer |
|
423 | 423 | |
|
424 | 424 | deltas = x_buffer[1:] - x_buffer[0:-1] |
|
425 | 425 | x_median = numpy.median(deltas) |
|
426 | 426 | |
|
427 | 427 | index = numpy.where(deltas > 5 * x_median) |
|
428 | 428 | |
|
429 | 429 | if len(index[0]) != 0: |
|
430 | 430 | z_buffer[::, index[0], ::] = self.__missing |
|
431 | 431 | z_buffer = numpy.ma.masked_inside(z_buffer, |
|
432 | 432 | 0.99 * self.__missing, |
|
433 | 433 | 1.01 * self.__missing) |
|
434 | 434 | |
|
435 | 435 | return x_buffer, y_buffer, z_buffer |
|
436 | 436 | |
|
437 | 437 | def decimate(self): |
|
438 | 438 | |
|
439 | 439 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 |
|
440 | 440 | dy = int(len(self.y) / self.decimation) + 1 |
|
441 | 441 | |
|
442 | 442 | # x = self.x[::dx] |
|
443 | 443 | x = self.x |
|
444 | 444 | y = self.y[::dy] |
|
445 | 445 | z = self.z[::, ::, ::dy] |
|
446 | 446 | |
|
447 | 447 | return x, y, z |
|
448 | 448 | |
|
449 | 449 | def format(self): |
|
450 | 450 | ''' |
|
451 | 451 | Set min and max values, labels, ticks and titles |
|
452 | 452 | ''' |
|
453 | 453 | |
|
454 | 454 | if self.xmin is None: |
|
455 | 455 | xmin = self.data.min_time |
|
456 | 456 | else: |
|
457 | 457 | if self.xaxis is 'time': |
|
458 | 458 | dt = self.getDateTime(self.data.min_time) |
|
459 | 459 | xmin = (dt.replace(hour=int(self.xmin), minute=0, second=0) - |
|
460 | 460 | datetime.datetime(1970, 1, 1)).total_seconds() |
|
461 | 461 | if self.data.localtime: |
|
462 | 462 | xmin += time.timezone |
|
463 | 463 | else: |
|
464 | 464 | xmin = self.xmin |
|
465 | 465 | |
|
466 | 466 | if self.xmax is None: |
|
467 | 467 | xmax = xmin + self.xrange * 60 * 60 |
|
468 | 468 | else: |
|
469 | 469 | if self.xaxis is 'time': |
|
470 | 470 | dt = self.getDateTime(self.data.max_time) |
|
471 | 471 | xmax = (dt.replace(hour=int(self.xmax), minute=59, second=59) - |
|
472 | 472 | datetime.datetime(1970, 1, 1) + datetime.timedelta(seconds=1)).total_seconds() |
|
473 | 473 | if self.data.localtime: |
|
474 | 474 | xmax += time.timezone |
|
475 | 475 | else: |
|
476 | 476 | xmax = self.xmax |
|
477 | 477 | |
|
478 | 478 | ymin = self.ymin if self.ymin else numpy.nanmin(self.y) |
|
479 | 479 | ymax = self.ymax if self.ymax else numpy.nanmax(self.y) |
|
480 | 480 | #Y = numpy.array([1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000, 10000, 20000, 50000]) |
|
481 | 481 | |
|
482 | 482 | #i = 1 if numpy.where( |
|
483 | 483 | # abs(ymax-ymin) <= Y)[0][0] < 0 else numpy.where(abs(ymax-ymin) <= Y)[0][0] |
|
484 | 484 | #ystep = Y[i] / 10. |
|
485 | 485 | dig = int(numpy.log10(ymax)) |
|
486 | 486 | if dig == 0: |
|
487 | 487 | digD = len(str(ymax)) - 2 |
|
488 | 488 | ydec = ymax*(10**digD) |
|
489 | 489 | |
|
490 | 490 | dig = int(numpy.log10(ydec)) |
|
491 | 491 | ystep = ((ydec + (10**(dig)))//10**(dig))*(10**(dig)) |
|
492 | 492 | ystep = ystep/5 |
|
493 | 493 | ystep = ystep/(10**digD) |
|
494 | 494 | |
|
495 | 495 |
else: |
|
496 | 496 | ystep = ((ymax + (10**(dig)))//10**(dig))*(10**(dig)) |
|
497 | 497 | ystep = ystep/5 |
|
498 | 498 | |
|
499 | 499 | if self.xaxis is not 'time': |
|
500 | 500 | |
|
501 | 501 | dig = int(numpy.log10(xmax)) |
|
502 | 502 | |
|
503 | 503 | if dig <= 0: |
|
504 | 504 | digD = len(str(xmax)) - 2 |
|
505 | 505 | xdec = xmax*(10**digD) |
|
506 | 506 | |
|
507 | 507 | dig = int(numpy.log10(xdec)) |
|
508 | 508 | xstep = ((xdec + (10**(dig)))//10**(dig))*(10**(dig)) |
|
509 | 509 | xstep = xstep*0.5 |
|
510 | 510 | xstep = xstep/(10**digD) |
|
511 | 511 | |
|
512 | 512 |
else: |
|
513 | 513 | xstep = ((xmax + (10**(dig)))//10**(dig))*(10**(dig)) |
|
514 | 514 | xstep = xstep/5 |
|
515 | 515 | |
|
516 | 516 | for n, ax in enumerate(self.axes): |
|
517 | 517 | if ax.firsttime: |
|
518 | 518 | ax.set_facecolor(self.bgcolor) |
|
519 | 519 | ax.yaxis.set_major_locator(MultipleLocator(ystep)) |
|
520 | 520 | if self.xscale: |
|
521 | 521 | ax.xaxis.set_major_formatter(FuncFormatter( |
|
522 | 522 | lambda x, pos: '{0:g}'.format(x*self.xscale))) |
|
523 | 523 | if self.xscale: |
|
524 | 524 | ax.yaxis.set_major_formatter(FuncFormatter( |
|
525 | 525 | lambda x, pos: '{0:g}'.format(x*self.yscale))) |
|
526 | 526 | if self.xaxis is 'time': |
|
527 | 527 | ax.xaxis.set_major_formatter(FuncFormatter(self.__fmtTime)) |
|
528 | 528 | ax.xaxis.set_major_locator(LinearLocator(9)) |
|
529 | 529 | else: |
|
530 | 530 | ax.xaxis.set_major_locator(MultipleLocator(xstep)) |
|
531 | 531 | if self.xlabel is not None: |
|
532 | 532 | ax.set_xlabel(self.xlabel) |
|
533 | 533 | ax.set_ylabel(self.ylabel) |
|
534 | 534 | ax.firsttime = False |
|
535 | 535 | if self.showprofile: |
|
536 | 536 | self.pf_axes[n].set_ylim(ymin, ymax) |
|
537 | 537 | self.pf_axes[n].set_xlim(self.zmin, self.zmax) |
|
538 | 538 | self.pf_axes[n].set_xlabel('dB') |
|
539 | 539 | self.pf_axes[n].grid(b=True, axis='x') |
|
540 | 540 | [tick.set_visible(False) |
|
541 | 541 | for tick in self.pf_axes[n].get_yticklabels()] |
|
542 | 542 | if self.colorbar: |
|
543 | 543 | ax.cbar = plt.colorbar( |
|
544 | 544 | ax.plt, ax=ax, fraction=0.05, pad=0.02, aspect=10) |
|
545 | 545 | ax.cbar.ax.tick_params(labelsize=8) |
|
546 | 546 | ax.cbar.ax.press = None |
|
547 | 547 | if self.cb_label: |
|
548 | 548 | ax.cbar.set_label(self.cb_label, size=8) |
|
549 | 549 | elif self.cb_labels: |
|
550 | 550 | ax.cbar.set_label(self.cb_labels[n], size=8) |
|
551 | 551 | else: |
|
552 | 552 | ax.cbar = None |
|
553 | 553 | if self.grid: |
|
554 | 554 | ax.grid(True) |
|
555 | 555 | |
|
556 | 556 | if not self.polar: |
|
557 | 557 | ax.set_xlim(xmin, xmax) |
|
558 | 558 | ax.set_ylim(ymin, ymax) |
|
559 | 559 | ax.set_title('{} {} {}'.format( |
|
560 | 560 | self.titles[n], |
|
561 | 561 | self.getDateTime(self.data.max_time).strftime( |
|
562 | 562 | '%Y-%m-%d %H:%M:%S'), |
|
563 | 563 | self.time_label), |
|
564 | 564 | size=8) |
|
565 | 565 | else: |
|
566 | 566 | ax.set_title('{}'.format(self.titles[n]), size=8) |
|
567 | 567 | ax.set_ylim(0, 90) |
|
568 | 568 | ax.set_yticks(numpy.arange(0, 90, 20)) |
|
569 | 569 | ax.yaxis.labelpad = 40 |
|
570 | 570 | |
|
571 | 571 | def clear_figures(self): |
|
572 | 572 | ''' |
|
573 | 573 | Reset axes for redraw plots |
|
574 | 574 | ''' |
|
575 | 575 | |
|
576 | 576 | for ax in self.axes: |
|
577 | 577 | ax.clear() |
|
578 | 578 | ax.firsttime = True |
|
579 | 579 | if ax.cbar: |
|
580 | 580 | ax.cbar.remove() |
|
581 | 581 | |
|
582 | 582 | def __plot(self): |
|
583 | 583 | ''' |
|
584 | 584 | Main function to plot, format and save figures |
|
585 | 585 | ''' |
|
586 | 586 | |
|
587 | 587 | try: |
|
588 | 588 | self.plot() |
|
589 | 589 | self.format() |
|
590 | 590 | except Exception as e: |
|
591 | 591 | log.warning('{} Plot could not be updated... check data'.format( |
|
592 | 592 | self.CODE), self.name) |
|
593 | 593 | log.error(str(e), '') |
|
594 | 594 | return |
|
595 | 595 | |
|
596 | 596 | for n, fig in enumerate(self.figures): |
|
597 | 597 | if self.nrows == 0 or self.nplots == 0: |
|
598 | 598 | log.warning('No data', self.name) |
|
599 | 599 | fig.text(0.5, 0.5, 'No Data', fontsize='large', ha='center') |
|
600 | 600 | fig.canvas.manager.set_window_title(self.CODE) |
|
601 | 601 | continue |
|
602 | 602 | |
|
603 | 603 | fig.tight_layout() |
|
604 | 604 | fig.canvas.manager.set_window_title('{} - {}'.format(self.title, |
|
605 | 605 | self.getDateTime(self.data.max_time).strftime('%Y/%m/%d'))) |
|
606 | 606 | fig.canvas.draw() |
|
607 | 607 | if self.show: |
|
608 | 608 | fig.show() |
|
609 | 609 | figpause(0.1) |
|
610 | 610 | |
|
611 | 611 | if self.save: |
|
612 | 612 | self.save_figure(n) |
|
613 | 613 | |
|
614 | 614 | if self.plot_server: |
|
615 | 615 | self.send_to_server() |
|
616 | 616 | # t = Thread(target=self.send_to_server) |
|
617 | 617 | # t.start() |
|
618 | 618 | |
|
619 | 619 | def save_figure(self, n): |
|
620 | 620 | ''' |
|
621 | 621 | ''' |
|
622 | 622 | |
|
623 | 623 | if self.save_counter < self.save_period: |
|
624 | 624 | self.save_counter += 1 |
|
625 | 625 | return |
|
626 | 626 | |
|
627 | 627 | self.save_counter = 1 |
|
628 | 628 | |
|
629 | 629 | fig = self.figures[n] |
|
630 | 630 | |
|
631 | 631 | if self.save_labels: |
|
632 | 632 | labels = self.save_labels |
|
633 | 633 | else: |
|
634 | 634 | labels = list(range(self.nrows)) |
|
635 | 635 | |
|
636 | 636 | if self.oneFigure: |
|
637 | 637 | label = '' |
|
638 | 638 | else: |
|
639 | 639 | label = '-{}'.format(labels[n]) |
|
640 | 640 | figname = os.path.join( |
|
641 | 641 | self.save, |
|
642 | 642 | self.CODE, |
|
643 | 643 | '{}{}_{}.png'.format( |
|
644 | 644 | self.CODE, |
|
645 | 645 | label, |
|
646 | self.getDateTime(self.data.max_time).strftime( | |
|
647 | '%Y%m%d_%H%M%S' | |
|
648 | ), | |
|
646 | self.getDateTime(self.data.max_time).strftime('%Y%m%d_%H%M%S'), | |
|
649 | 647 | ) |
|
650 | 648 | ) |
|
649 | ||
|
651 | 650 | log.log('Saving figure: {}'.format(figname), self.name) |
|
652 | 651 | if not os.path.isdir(os.path.dirname(figname)): |
|
653 | 652 | os.makedirs(os.path.dirname(figname)) |
|
654 | 653 | fig.savefig(figname) |
|
655 | 654 | |
|
656 | 655 | if self.realtime: |
|
657 | 656 | figname = os.path.join( |
|
658 | 657 | self.save, |
|
659 | 658 | '{}{}_{}.png'.format( |
|
660 | 659 | self.CODE, |
|
661 | 660 | label, |
|
662 | 661 | self.getDateTime(self.data.min_time).strftime( |
|
663 | 662 | '%Y%m%d' |
|
664 | 663 | ), |
|
665 | 664 | ) |
|
666 | 665 | ) |
|
667 | 666 | fig.savefig(figname) |
|
668 | 667 | |
|
669 | 668 | def send_to_server(self): |
|
670 | 669 | ''' |
|
671 | 670 | ''' |
|
672 | 671 | |
|
673 | 672 | if self.sender_counter < self.sender_period: |
|
674 | 673 | self.sender_counter += 1 |
|
675 | 674 | return |
|
676 | 675 | |
|
677 | 676 | self.sender_counter = 1 |
|
678 | 677 | self.data.meta['titles'] = self.titles |
|
679 | 678 | retries = 2 |
|
680 | 679 | while True: |
|
681 | 680 | self.socket.send_string(self.data.jsonify(self.plot_name, self.plot_type)) |
|
682 | 681 | socks = dict(self.poll.poll(5000)) |
|
683 | 682 | if socks.get(self.socket) == zmq.POLLIN: |
|
684 | 683 | reply = self.socket.recv_string() |
|
685 | 684 | if reply == 'ok': |
|
686 | 685 | log.log("Response from server ok", self.name) |
|
687 | 686 | break |
|
688 | 687 | else: |
|
689 | 688 | log.warning( |
|
690 | 689 | "Malformed reply from server: {}".format(reply), self.name) |
|
691 | 690 | |
|
692 | 691 | else: |
|
693 | 692 | log.warning( |
|
694 | 693 | "No response from server, retrying...", self.name) |
|
695 | 694 | self.socket.setsockopt(zmq.LINGER, 0) |
|
696 | 695 | self.socket.close() |
|
697 | 696 | self.poll.unregister(self.socket) |
|
698 | 697 | retries -= 1 |
|
699 | 698 | if retries == 0: |
|
700 | 699 | log.error( |
|
701 | 700 | "Server seems to be offline, abandoning", self.name) |
|
702 | 701 | self.socket = self.context.socket(zmq.REQ) |
|
703 | 702 | self.socket.connect(self.plot_server) |
|
704 | 703 | self.poll.register(self.socket, zmq.POLLIN) |
|
705 | 704 | time.sleep(1) |
|
706 | 705 | break |
|
707 | 706 | self.socket = self.context.socket(zmq.REQ) |
|
708 | 707 | self.socket.connect(self.plot_server) |
|
709 | 708 | self.poll.register(self.socket, zmq.POLLIN) |
|
710 | 709 | time.sleep(0.5) |
|
711 | 710 | |
|
712 | 711 | def setup(self): |
|
713 | 712 | ''' |
|
714 | 713 | This method should be implemented in the child class, the following |
|
715 | 714 | attributes should be set: |
|
716 | 715 | |
|
717 | 716 | self.nrows: number of rows |
|
718 | 717 | self.ncols: number of cols |
|
719 | 718 | self.nplots: number of plots (channels or pairs) |
|
720 | 719 | self.ylabel: label for Y axes |
|
721 | 720 |
self.titles: list of axes title |
|
722 | 721 | |
|
723 | 722 | ''' |
|
724 | 723 | raise NotImplementedError |
|
725 | 724 | |
|
726 | 725 | def plot(self): |
|
727 | 726 | ''' |
|
728 | 727 | Must be defined in the child class |
|
729 | 728 | ''' |
|
730 | 729 | raise NotImplementedError |
|
731 | 730 | |
|
732 | 731 | def run(self, dataOut, **kwargs): |
|
733 | 732 | ''' |
|
734 | 733 | Main plotting routine |
|
735 | 734 | ''' |
|
736 | 735 | |
|
737 | 736 | if self.isConfig is False: |
|
738 | 737 | self.__setup(**kwargs) |
|
739 | 738 | if dataOut.type == 'Parameters': |
|
740 | 739 | t = dataOut.utctimeInit |
|
741 | 740 | else: |
|
742 | 741 |
t = dataOut.utctime |
|
743 | 742 | |
|
744 | 743 | if dataOut.useLocalTime: |
|
745 | 744 | self.getDateTime = datetime.datetime.fromtimestamp |
|
746 | 745 | if not self.localtime: |
|
747 | 746 | t += time.timezone |
|
748 | 747 | else: |
|
749 | 748 | self.getDateTime = datetime.datetime.utcfromtimestamp |
|
750 | 749 | if self.localtime: |
|
751 | 750 | t -= time.timezone |
|
752 | 751 | |
|
753 | 752 | if 'buffer' in self.plot_type: |
|
754 | 753 | if self.xmin is None: |
|
755 | 754 | self.tmin = t |
|
756 | 755 | else: |
|
757 | 756 | self.tmin = ( |
|
758 | 757 | self.getDateTime(t).replace( |
|
759 | 758 |
hour=self.xmin, |
|
760 | 759 |
minute=0, |
|
761 | 760 | second=0) - self.getDateTime(0)).total_seconds() |
|
762 | 761 | |
|
763 | 762 | self.data.setup() |
|
764 | 763 | self.isConfig = True |
|
765 | 764 | if self.plot_server: |
|
766 | 765 | self.context = zmq.Context() |
|
767 | 766 | self.socket = self.context.socket(zmq.REQ) |
|
768 | 767 | self.socket.connect(self.plot_server) |
|
769 | 768 | self.poll = zmq.Poller() |
|
770 | 769 | self.poll.register(self.socket, zmq.POLLIN) |
|
771 | 770 | |
|
772 | 771 | if dataOut.type == 'Parameters': |
|
773 | 772 | tm = dataOut.utctimeInit |
|
774 | 773 | else: |
|
775 | 774 | tm = dataOut.utctime |
|
776 | 775 | |
|
777 | 776 | if not dataOut.useLocalTime and self.localtime: |
|
778 | 777 | tm -= time.timezone |
|
779 | 778 | if dataOut.useLocalTime and not self.localtime: |
|
780 | 779 | tm += time.timezone |
|
781 | 780 | |
|
782 | 781 |
if self.xaxis is 'time' and self.data and (tm - self.tmin) >= self.xrange*60*60: |
|
783 | 782 | self.save_counter = self.save_period |
|
784 | 783 | self.__plot() |
|
785 | 784 | self.xmin += self.xrange |
|
786 | 785 | if self.xmin >= 24: |
|
787 | 786 | self.xmin -= 24 |
|
788 | 787 | self.tmin += self.xrange*60*60 |
|
789 | 788 | self.data.setup() |
|
790 | 789 | self.clear_figures() |
|
791 | 790 | |
|
792 | 791 | self.data.update(dataOut, tm) |
|
793 | 792 | |
|
794 | 793 | if self.isPlotConfig is False: |
|
795 | 794 | self.__setup_plot() |
|
796 | 795 | self.isPlotConfig = True |
|
797 | 796 | |
|
798 | 797 | if self.realtime: |
|
799 | 798 | self.__plot() |
|
800 | 799 | else: |
|
801 | 800 | self.__throttle_plot(self.__plot)#, coerce=coerce) |
|
802 | 801 | |
|
803 | 802 | def close(self): |
|
804 | 803 | |
|
805 | 804 | if self.data: |
|
806 | 805 | self.save_counter = self.save_period |
|
807 | 806 | self.__plot() |
|
808 | 807 | if self.data and self.pause: |
|
809 | 808 | figpause(10) |
|
810 |
@@ -1,629 +1,649 | |||
|
1 | 1 | ''' |
|
2 | 2 | Created on Set 9, 2015 |
|
3 | 3 | |
|
4 | 4 | @author: roj-idl71 Karim Kuyeng |
|
5 | 5 | ''' |
|
6 | 6 | |
|
7 | 7 | import os |
|
8 | 8 | import sys |
|
9 | 9 | import glob |
|
10 | 10 | import fnmatch |
|
11 | 11 | import datetime |
|
12 | 12 | import time |
|
13 | 13 | import re |
|
14 | 14 | import h5py |
|
15 | 15 | import numpy |
|
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 RadarControllerHeader, SystemHeader |
|
23 | 23 | from schainpy.model.data.jrodata import Voltage |
|
24 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation | |
|
24 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator | |
|
25 | 25 | from numpy import imag |
|
26 | 26 | |
|
27 | @MPDecorator | |
|
27 | 28 | class AMISRReader(ProcessingUnit): |
|
28 | 29 | ''' |
|
29 | 30 | classdocs |
|
30 | 31 | ''' |
|
31 | 32 | |
|
32 | 33 | def __init__(self): |
|
33 | 34 | ''' |
|
34 | 35 | Constructor |
|
35 | 36 | ''' |
|
36 | 37 | |
|
37 | 38 | ProcessingUnit.__init__(self) |
|
38 | 39 | |
|
39 | 40 | self.set = None |
|
40 | 41 | self.subset = None |
|
41 | 42 | self.extension_file = '.h5' |
|
42 | 43 | self.dtc_str = 'dtc' |
|
43 | 44 | self.dtc_id = 0 |
|
44 | 45 | self.status = True |
|
45 | 46 | self.isConfig = False |
|
46 | 47 | self.dirnameList = [] |
|
47 | 48 | self.filenameList = [] |
|
48 | 49 | self.fileIndex = None |
|
49 | 50 | self.flagNoMoreFiles = False |
|
50 | 51 | self.flagIsNewFile = 0 |
|
51 | 52 | self.filename = '' |
|
52 | 53 | self.amisrFilePointer = None |
|
53 | 54 | |
|
54 | 55 | |
|
55 | self.dataset = None | |
|
56 | #self.dataset = None | |
|
56 | 57 | |
|
57 | 58 | |
|
58 | 59 | |
|
59 | 60 | |
|
60 | 61 | self.profileIndex = 0 |
|
61 | 62 | |
|
62 | 63 | |
|
63 | 64 | self.beamCodeByFrame = None |
|
64 | 65 | self.radacTimeByFrame = None |
|
65 | 66 | |
|
66 | 67 | self.dataset = None |
|
67 | 68 | |
|
68 | 69 | |
|
69 | 70 | |
|
70 | 71 | |
|
71 | 72 | self.__firstFile = True |
|
72 | 73 | |
|
73 | 74 | self.buffer = None |
|
74 | 75 | |
|
75 | 76 | |
|
76 | 77 | self.timezone = 'ut' |
|
77 | 78 | |
|
78 | 79 | self.__waitForNewFile = 20 |
|
79 | 80 |
self.__filename_online = None |
|
80 | 81 | #Is really necessary create the output object in the initializer |
|
81 | 82 | self.dataOut = Voltage() |
|
83 | self.dataOut.error=False | |
|
82 | 84 | |
|
83 | 85 | def setup(self,path=None, |
|
84 | 86 |
startDate=None, |
|
85 | 87 |
endDate=None, |
|
86 | 88 |
startTime=None, |
|
87 | 89 | endTime=None, |
|
88 | 90 | walk=True, |
|
89 | 91 | timezone='ut', |
|
90 | 92 | all=0, |
|
91 | 93 | code = None, |
|
92 | 94 | nCode = 0, |
|
93 | 95 | nBaud = 0, |
|
94 | 96 | online=False): |
|
95 | 97 | |
|
98 | #print ("T",path) | |
|
99 | ||
|
96 | 100 | self.timezone = timezone |
|
97 | 101 | self.all = all |
|
98 | 102 | self.online = online |
|
99 | 103 | |
|
100 | 104 | self.code = code |
|
101 | 105 | self.nCode = int(nCode) |
|
102 | 106 | self.nBaud = int(nBaud) |
|
103 | 107 | |
|
104 | 108 | |
|
105 | 109 | |
|
106 | 110 | #self.findFiles() |
|
107 | 111 | if not(online): |
|
108 | 112 | #Busqueda de archivos offline |
|
109 | 113 | self.searchFilesOffLine(path, startDate, endDate, startTime, endTime, walk) |
|
110 | 114 | else: |
|
111 | 115 | self.searchFilesOnLine(path, startDate, endDate, startTime,endTime,walk) |
|
112 | 116 | |
|
113 | 117 | if not(self.filenameList): |
|
114 | 118 | print("There is no files into the folder: %s"%(path)) |
|
115 | ||
|
116 | 119 | sys.exit(-1) |
|
117 | 120 | |
|
118 | 121 | self.fileIndex = -1 |
|
119 | 122 | |
|
120 | 123 |
self.readNextFile(online) |
|
121 | 124 | |
|
122 | 125 | ''' |
|
123 | 126 | Add code |
|
124 | 127 |
''' |
|
125 | 128 | self.isConfig = True |
|
126 | 129 | |
|
127 | 130 | pass |
|
128 | 131 | |
|
129 | 132 | |
|
130 | 133 | def readAMISRHeader(self,fp): |
|
131 | 134 | header = 'Raw11/Data/RadacHeader' |
|
132 | 135 | self.beamCodeByPulse = fp.get(header+'/BeamCode') # LIST OF BEAMS PER PROFILE, TO BE USED ON REARRANGE |
|
133 | 136 | self.beamCode = fp.get('Raw11/Data/Beamcodes') # NUMBER OF CHANNELS AND IDENTIFY POSITION TO CREATE A FILE WITH THAT INFO |
|
134 | 137 | #self.code = fp.get(header+'/Code') # NOT USE FOR THIS |
|
135 | 138 | self.frameCount = fp.get(header+'/FrameCount')# NOT USE FOR THIS |
|
136 | 139 | self.modeGroup = fp.get(header+'/ModeGroup')# NOT USE FOR THIS |
|
137 | 140 | self.nsamplesPulse = fp.get(header+'/NSamplesPulse')# TO GET NSA OR USING DATA FOR THAT |
|
138 | 141 | self.pulseCount = fp.get(header+'/PulseCount')# NOT USE FOR THIS |
|
139 | 142 | self.radacTime = fp.get(header+'/RadacTime')# 1st TIME ON FILE ANDE CALCULATE THE REST WITH IPP*nindexprofile |
|
140 | 143 | self.timeCount = fp.get(header+'/TimeCount')# NOT USE FOR THIS |
|
141 | 144 | self.timeStatus = fp.get(header+'/TimeStatus')# NOT USE FOR THIS |
|
142 | 145 | self.rangeFromFile = fp.get('Raw11/Data/Samples/Range') |
|
143 | 146 | self.frequency = fp.get('Rx/Frequency') |
|
144 | 147 | txAus = fp.get('Raw11/Data/Pulsewidth') |
|
145 | 148 | |
|
146 | 149 | |
|
147 | 150 | self.nblocks = self.pulseCount.shape[0] #nblocks |
|
148 | 151 | |
|
149 | 152 | self.nprofiles = self.pulseCount.shape[1] #nprofile |
|
150 | 153 | self.nsa = self.nsamplesPulse[0,0] #ngates |
|
151 | 154 | self.nchannels = self.beamCode.shape[1] |
|
152 | 155 | self.ippSeconds = (self.radacTime[0][1] -self.radacTime[0][0]) #Ipp in seconds |
|
153 | 156 | #self.__waitForNewFile = self.nblocks # wait depending on the number of blocks since each block is 1 sec |
|
154 | 157 | self.__waitForNewFile = self.nblocks * self.nprofiles * self.ippSeconds # wait until new file is created |
|
155 | 158 | |
|
156 | 159 | #filling radar controller header parameters |
|
157 | 160 | self.__ippKm = self.ippSeconds *.15*1e6 # in km |
|
158 | 161 | self.__txA = (txAus.value)*.15 #(ipp[us]*.15km/1us) in km |
|
159 | 162 | self.__txB = 0 |
|
160 | 163 | nWindows=1 |
|
161 | 164 |
self.__nSamples = self.nsa |
|
162 | 165 | self.__firstHeight = self.rangeFromFile[0][0]/1000 #in km |
|
163 | 166 |
self.__deltaHeight = (self.rangeFromFile[0][1] - self.rangeFromFile[0][0])/1000 |
|
164 | 167 | |
|
165 | 168 | #for now until understand why the code saved is different (code included even though code not in tuf file) |
|
166 | 169 | #self.__codeType = 0 |
|
167 | 170 | # self.__nCode = None |
|
168 | 171 | # self.__nBaud = None |
|
169 | 172 | self.__code = self.code |
|
170 | 173 | self.__codeType = 0 |
|
171 | 174 | if self.code != None: |
|
172 | 175 | self.__codeType = 1 |
|
173 | 176 | self.__nCode = self.nCode |
|
174 | 177 | self.__nBaud = self.nBaud |
|
175 | 178 | #self.__code = 0 |
|
176 | 179 | |
|
177 | 180 | #filling system header parameters |
|
178 | 181 | self.__nSamples = self.nsa |
|
179 | 182 |
self.newProfiles = self.nprofiles/self.nchannels |
|
180 | 183 | self.__channelList = list(range(self.nchannels)) |
|
181 | 184 | |
|
182 | 185 | self.__frequency = self.frequency[0][0] |
|
183 | 186 | |
|
184 | 187 | |
|
185 | 188 | |
|
186 | 189 | def createBuffers(self): |
|
187 | 190 | |
|
188 | 191 |
pass |
|
189 | 192 | |
|
190 | 193 | def __setParameters(self,path='', startDate='',endDate='',startTime='', endTime='', walk=''): |
|
191 | 194 | self.path = path |
|
192 | 195 | self.startDate = startDate |
|
193 | 196 | self.endDate = endDate |
|
194 | 197 | self.startTime = startTime |
|
195 | 198 | self.endTime = endTime |
|
196 | 199 | self.walk = walk |
|
197 | 200 | |
|
198 | 201 | def __checkPath(self): |
|
199 | 202 | if os.path.exists(self.path): |
|
200 | 203 | self.status = 1 |
|
201 | 204 | else: |
|
202 | 205 | self.status = 0 |
|
203 | 206 | print('Path:%s does not exists'%self.path) |
|
204 | 207 | |
|
205 | 208 | return |
|
206 | 209 | |
|
207 | 210 | |
|
208 | 211 | def __selDates(self, amisr_dirname_format): |
|
209 | 212 | try: |
|
210 | 213 | year = int(amisr_dirname_format[0:4]) |
|
211 | 214 | month = int(amisr_dirname_format[4:6]) |
|
212 | 215 | dom = int(amisr_dirname_format[6:8]) |
|
213 | 216 | thisDate = datetime.date(year,month,dom) |
|
214 | 217 | |
|
215 | 218 | if (thisDate>=self.startDate and thisDate <= self.endDate): |
|
216 | 219 | return amisr_dirname_format |
|
217 | 220 | except: |
|
218 | 221 | return None |
|
219 | 222 | |
|
220 | 223 | |
|
221 | 224 | def __findDataForDates(self,online=False): |
|
222 | 225 | |
|
223 | 226 | if not(self.status): |
|
224 | 227 | return None |
|
225 | 228 | |
|
226 | 229 | pat = '\d+.\d+' |
|
227 | 230 | dirnameList = [re.search(pat,x) for x in os.listdir(self.path)] |
|
228 | 231 | dirnameList = [x for x in dirnameList if x!=None] |
|
229 | 232 | dirnameList = [x.string for x in dirnameList] |
|
230 | 233 | if not(online): |
|
231 | 234 | dirnameList = [self.__selDates(x) for x in dirnameList] |
|
232 | 235 | dirnameList = [x for x in dirnameList if x!=None] |
|
233 | 236 | if len(dirnameList)>0: |
|
234 | 237 | self.status = 1 |
|
235 | 238 | self.dirnameList = dirnameList |
|
236 | 239 | self.dirnameList.sort() |
|
237 | 240 | else: |
|
238 | 241 | self.status = 0 |
|
239 | 242 | return None |
|
240 | 243 | |
|
241 | 244 | def __getTimeFromData(self): |
|
242 | 245 | startDateTime_Reader = datetime.datetime.combine(self.startDate,self.startTime) |
|
243 | 246 | endDateTime_Reader = datetime.datetime.combine(self.endDate,self.endTime) |
|
244 | 247 | |
|
245 | 248 | print('Filtering Files from %s to %s'%(startDateTime_Reader, endDateTime_Reader)) |
|
246 | 249 | print('........................................') |
|
247 | 250 | filter_filenameList = [] |
|
248 | 251 | self.filenameList.sort() |
|
249 | 252 | #for i in range(len(self.filenameList)-1): |
|
250 | 253 | for i in range(len(self.filenameList)): |
|
251 | 254 | filename = self.filenameList[i] |
|
252 | 255 | fp = h5py.File(filename,'r') |
|
253 | 256 | time_str = fp.get('Time/RadacTimeString') |
|
254 | 257 | |
|
255 | startDateTimeStr_File = time_str[0][0].split('.')[0] | |
|
258 | startDateTimeStr_File = time_str[0][0].decode('UTF-8').split('.')[0] | |
|
259 | #startDateTimeStr_File = "2019-12-16 09:21:11" | |
|
256 | 260 | junk = time.strptime(startDateTimeStr_File, '%Y-%m-%d %H:%M:%S') |
|
257 | 261 | startDateTime_File = datetime.datetime(junk.tm_year,junk.tm_mon,junk.tm_mday,junk.tm_hour, junk.tm_min, junk.tm_sec) |
|
258 | 262 | |
|
259 |
endDateTimeStr_File = |
|
|
263 | #endDateTimeStr_File = "2019-12-16 11:10:11" | |
|
264 | endDateTimeStr_File = time_str[-1][-1].decode('UTF-8').split('.')[0] | |
|
260 | 265 | junk = time.strptime(endDateTimeStr_File, '%Y-%m-%d %H:%M:%S') |
|
261 | 266 | endDateTime_File = datetime.datetime(junk.tm_year,junk.tm_mon,junk.tm_mday,junk.tm_hour, junk.tm_min, junk.tm_sec) |
|
262 | 267 | |
|
263 | 268 | fp.close() |
|
264 | 269 | |
|
270 | #print("check time", startDateTime_File) | |
|
265 | 271 | if self.timezone == 'lt': |
|
266 | 272 | startDateTime_File = startDateTime_File - datetime.timedelta(minutes = 300) |
|
267 | 273 | endDateTime_File = endDateTime_File - datetime.timedelta(minutes = 300) |
|
268 | ||
|
269 | 274 | if (endDateTime_File>=startDateTime_Reader and endDateTime_File<endDateTime_Reader): |
|
270 | 275 | #self.filenameList.remove(filename) |
|
271 | 276 | filter_filenameList.append(filename) |
|
272 | 277 | |
|
273 | 278 | if (endDateTime_File>=endDateTime_Reader): |
|
274 | 279 | break |
|
275 | 280 | |
|
276 | 281 | |
|
277 | 282 | filter_filenameList.sort() |
|
278 | 283 | self.filenameList = filter_filenameList |
|
279 | 284 | return 1 |
|
280 | 285 | |
|
281 | 286 | def __filterByGlob1(self, dirName): |
|
282 | 287 | filter_files = glob.glob1(dirName, '*.*%s'%self.extension_file) |
|
283 | 288 | filter_files.sort() |
|
284 | 289 | filterDict = {} |
|
285 | 290 | filterDict.setdefault(dirName) |
|
286 | 291 | filterDict[dirName] = filter_files |
|
287 | 292 | return filterDict |
|
288 | 293 | |
|
289 | 294 | def __getFilenameList(self, fileListInKeys, dirList): |
|
290 | 295 | for value in fileListInKeys: |
|
291 | 296 | dirName = list(value.keys())[0] |
|
292 | 297 | for file in value[dirName]: |
|
293 | 298 | filename = os.path.join(dirName, file) |
|
294 | 299 | self.filenameList.append(filename) |
|
295 | 300 | |
|
296 | 301 | |
|
297 | 302 | def __selectDataForTimes(self, online=False): |
|
298 | 303 | #aun no esta implementado el filtro for tiempo |
|
299 | 304 | if not(self.status): |
|
300 | 305 | return None |
|
301 | 306 | |
|
302 | 307 | dirList = [os.path.join(self.path,x) for x in self.dirnameList] |
|
303 | 308 | |
|
304 | 309 | fileListInKeys = [self.__filterByGlob1(x) for x in dirList] |
|
305 | 310 | |
|
306 | 311 | self.__getFilenameList(fileListInKeys, dirList) |
|
307 | 312 | if not(online): |
|
308 | 313 | #filtro por tiempo |
|
309 | 314 | if not(self.all): |
|
310 | 315 | self.__getTimeFromData() |
|
311 | 316 | |
|
312 | 317 | if len(self.filenameList)>0: |
|
313 | 318 | self.status = 1 |
|
314 | 319 | self.filenameList.sort() |
|
315 | 320 | else: |
|
316 | 321 | self.status = 0 |
|
317 | 322 | return None |
|
318 | 323 | |
|
319 | 324 | else: |
|
320 | 325 | #get the last file - 1 |
|
321 | 326 | self.filenameList = [self.filenameList[-2]] |
|
322 | 327 | |
|
323 | 328 | new_dirnameList = [] |
|
324 | 329 | for dirname in self.dirnameList: |
|
325 | 330 | junk = numpy.array([dirname in x for x in self.filenameList]) |
|
326 | 331 | junk_sum = junk.sum() |
|
327 | 332 | if junk_sum > 0: |
|
328 | 333 | new_dirnameList.append(dirname) |
|
329 | 334 | self.dirnameList = new_dirnameList |
|
330 | 335 | return 1 |
|
331 | 336 | |
|
332 | 337 | def searchFilesOnLine(self, path, startDate, endDate, startTime=datetime.time(0,0,0), |
|
333 | 338 | endTime=datetime.time(23,59,59),walk=True): |
|
334 | 339 | |
|
335 | 340 | if endDate ==None: |
|
336 | 341 | startDate = datetime.datetime.utcnow().date() |
|
337 | 342 | endDate = datetime.datetime.utcnow().date() |
|
338 | 343 | |
|
339 | 344 | self.__setParameters(path=path, startDate=startDate, endDate=endDate,startTime = startTime,endTime=endTime, walk=walk) |
|
340 | 345 | |
|
341 | 346 | self.__checkPath() |
|
342 | 347 | |
|
343 | 348 | self.__findDataForDates(online=True) |
|
344 | 349 | |
|
345 | 350 | self.dirnameList = [self.dirnameList[-1]] |
|
346 | 351 | |
|
347 | 352 | self.__selectDataForTimes(online=True) |
|
348 | 353 | |
|
349 | 354 | return |
|
350 | 355 | |
|
351 | 356 | |
|
352 | 357 | def searchFilesOffLine(self, |
|
353 | 358 | path, |
|
354 | 359 | startDate, |
|
355 | 360 | endDate, |
|
356 | 361 | startTime=datetime.time(0,0,0), |
|
357 | 362 | endTime=datetime.time(23,59,59), |
|
358 | 363 | walk=True): |
|
359 | 364 | |
|
360 | 365 | self.__setParameters(path, startDate, endDate, startTime, endTime, walk) |
|
361 | 366 | |
|
362 | 367 | self.__checkPath() |
|
363 | 368 | |
|
364 | 369 | self.__findDataForDates() |
|
365 | 370 | |
|
366 | 371 | self.__selectDataForTimes() |
|
367 | 372 | |
|
368 | 373 | for i in range(len(self.filenameList)): |
|
369 | 374 | print("%s" %(self.filenameList[i])) |
|
370 | 375 | |
|
371 | 376 |
return |
|
372 | 377 | |
|
373 | 378 | def __setNextFileOffline(self): |
|
374 | 379 | idFile = self.fileIndex |
|
375 | 380 | |
|
376 | 381 | while (True): |
|
377 | 382 | idFile += 1 |
|
378 | 383 | if not(idFile < len(self.filenameList)): |
|
379 | 384 | self.flagNoMoreFiles = 1 |
|
380 | 385 | print("No more Files") |
|
386 | self.dataOut.error = True | |
|
381 | 387 | return 0 |
|
382 | 388 | |
|
383 | 389 | filename = self.filenameList[idFile] |
|
384 | 390 | |
|
385 | 391 | amisrFilePointer = h5py.File(filename,'r') |
|
386 | 392 | |
|
387 | 393 | break |
|
388 | 394 | |
|
389 | 395 | self.flagIsNewFile = 1 |
|
390 | 396 | self.fileIndex = idFile |
|
391 | 397 | self.filename = filename |
|
392 | 398 | |
|
393 | 399 | self.amisrFilePointer = amisrFilePointer |
|
394 | 400 | |
|
395 | 401 | print("Setting the file: %s"%self.filename) |
|
396 | 402 | |
|
397 | 403 | return 1 |
|
398 | 404 | |
|
399 | 405 | |
|
400 | 406 | def __setNextFileOnline(self): |
|
401 | 407 | filename = self.filenameList[0] |
|
402 | 408 | if self.__filename_online != None: |
|
403 | 409 | self.__selectDataForTimes(online=True) |
|
404 | 410 | filename = self.filenameList[0] |
|
405 | 411 | wait = 0 |
|
406 | 412 | while self.__filename_online == filename: |
|
407 | 413 | print('waiting %d seconds to get a new file...'%(self.__waitForNewFile)) |
|
408 | 414 | if wait == 5: |
|
409 | 415 | return 0 |
|
410 | 416 | sleep(self.__waitForNewFile) |
|
411 | 417 | self.__selectDataForTimes(online=True) |
|
412 | 418 | filename = self.filenameList[0] |
|
413 | 419 | wait += 1 |
|
414 | 420 | |
|
415 | 421 | self.__filename_online = filename |
|
416 | 422 | |
|
417 | 423 | self.amisrFilePointer = h5py.File(filename,'r') |
|
418 | 424 | self.flagIsNewFile = 1 |
|
419 | 425 | self.filename = filename |
|
420 | 426 | print("Setting the file: %s"%self.filename) |
|
421 | 427 | return 1 |
|
422 | 428 | |
|
423 | 429 | |
|
424 | 430 | def readData(self): |
|
425 | 431 | buffer = self.amisrFilePointer.get('Raw11/Data/Samples/Data') |
|
426 | 432 | re = buffer[:,:,:,0] |
|
427 | 433 | im = buffer[:,:,:,1] |
|
428 | 434 | dataset = re + im*1j |
|
435 | ||
|
429 | 436 | self.radacTime = self.amisrFilePointer.get('Raw11/Data/RadacHeader/RadacTime') |
|
430 | 437 | timeset = self.radacTime[:,0] |
|
438 | ||
|
431 | 439 | return dataset,timeset |
|
432 | 440 | |
|
433 | 441 | def reshapeData(self): |
|
434 | 442 |
#self.beamCodeByPulse, self.beamCode, self.nblocks, self.nprofiles, self.nsa, |
|
435 | 443 | channels = self.beamCodeByPulse[0,:] |
|
436 | 444 | nchan = self.nchannels |
|
437 | 445 | #self.newProfiles = self.nprofiles/nchan #must be defined on filljroheader |
|
438 | 446 | nblocks = self.nblocks |
|
439 | 447 | nsamples = self.nsa |
|
440 | 448 | |
|
441 | 449 | #Dimensions : nChannels, nProfiles, nSamples |
|
442 | new_block = numpy.empty((nblocks, nchan, self.newProfiles, nsamples), dtype="complex64") | |
|
450 | new_block = numpy.empty((nblocks, nchan, numpy.int_(self.newProfiles), nsamples), dtype="complex64") | |
|
443 | 451 | ############################################ |
|
444 | 452 | |
|
445 | 453 | for thisChannel in range(nchan): |
|
446 | 454 | new_block[:,thisChannel,:,:] = self.dataset[:,numpy.where(channels==self.beamCode[0][thisChannel])[0],:] |
|
447 | 455 | |
|
448 | 456 | |
|
449 | 457 | new_block = numpy.transpose(new_block, (1,0,2,3)) |
|
450 | 458 | new_block = numpy.reshape(new_block, (nchan,-1, nsamples)) |
|
451 | 459 | |
|
452 | 460 |
return new_block |
|
453 | 461 | |
|
454 | 462 | def updateIndexes(self): |
|
455 | 463 | |
|
456 | 464 | pass |
|
457 | 465 | |
|
458 | 466 | def fillJROHeader(self): |
|
459 | 467 | |
|
460 | 468 | #fill radar controller header |
|
461 |
self.dataOut.radarControllerHeaderObj = RadarControllerHeader(ipp |
|
|
469 | self.dataOut.radarControllerHeaderObj = RadarControllerHeader(ipp=self.__ippKm, | |
|
462 | 470 | txA=self.__txA, |
|
463 | 471 | txB=0, |
|
464 | 472 | nWindows=1, |
|
465 | 473 | nHeights=self.__nSamples, |
|
466 | 474 | firstHeight=self.__firstHeight, |
|
467 | 475 | deltaHeight=self.__deltaHeight, |
|
468 | 476 | codeType=self.__codeType, |
|
469 | 477 | nCode=self.__nCode, nBaud=self.__nBaud, |
|
470 | 478 | code = self.__code, |
|
471 | 479 | fClock=1) |
|
472 | 480 | |
|
473 | ||
|
474 | ||
|
475 | 481 | #fill system header |
|
476 | 482 | self.dataOut.systemHeaderObj = SystemHeader(nSamples=self.__nSamples, |
|
477 | 483 | nProfiles=self.newProfiles, |
|
478 | 484 | nChannels=len(self.__channelList), |
|
479 | 485 | adcResolution=14, |
|
480 | pciDioBusWith=32) | |
|
486 | pciDioBusWidth=32) | |
|
481 | 487 | |
|
482 | 488 | self.dataOut.type = "Voltage" |
|
483 | 489 | |
|
484 | 490 | self.dataOut.data = None |
|
485 | 491 | |
|
486 | 492 | self.dataOut.dtype = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
487 | 493 | |
|
488 | 494 | # self.dataOut.nChannels = 0 |
|
489 | 495 | |
|
490 | 496 | # self.dataOut.nHeights = 0 |
|
491 | 497 | |
|
492 | 498 | self.dataOut.nProfiles = self.newProfiles*self.nblocks |
|
493 | 499 | |
|
494 | 500 | #self.dataOut.heightList = self.__firstHeigth + numpy.arange(self.__nSamples, dtype = numpy.float)*self.__deltaHeigth |
|
495 | 501 | ranges = numpy.reshape(self.rangeFromFile.value,(-1)) |
|
496 | 502 | self.dataOut.heightList = ranges/1000.0 #km |
|
497 | 503 | |
|
498 | 504 | |
|
499 | 505 | self.dataOut.channelList = self.__channelList |
|
500 | 506 | |
|
501 | 507 | self.dataOut.blocksize = self.dataOut.getNChannels() * self.dataOut.getNHeights() |
|
502 | 508 | |
|
503 | 509 | # self.dataOut.channelIndexList = None |
|
504 | 510 | |
|
505 | 511 | self.dataOut.flagNoData = True |
|
506 | 512 | |
|
507 | 513 |
#Set to TRUE if the data is discontinuous |
|
508 | 514 | self.dataOut.flagDiscontinuousBlock = False |
|
509 | 515 | |
|
510 | 516 | self.dataOut.utctime = None |
|
511 | 517 | |
|
512 | 518 | #self.dataOut.timeZone = -5 #self.__timezone/60 #timezone like jroheader, difference in minutes between UTC and localtime |
|
513 | 519 | if self.timezone == 'lt': |
|
514 | 520 | self.dataOut.timeZone = time.timezone / 60. #get the timezone in minutes |
|
515 | 521 |
else: |
|
516 | 522 | self.dataOut.timeZone = 0 #by default time is UTC |
|
517 | 523 | |
|
518 | 524 | self.dataOut.dstFlag = 0 |
|
519 | 525 | |
|
520 | 526 | self.dataOut.errorCount = 0 |
|
521 | 527 | |
|
522 | 528 | self.dataOut.nCohInt = 1 |
|
523 | 529 | |
|
524 | 530 | self.dataOut.flagDecodeData = False #asumo que la data esta decodificada |
|
525 | 531 | |
|
526 | 532 | self.dataOut.flagDeflipData = False #asumo que la data esta sin flip |
|
527 | 533 | |
|
528 | 534 | self.dataOut.flagShiftFFT = False |
|
529 | 535 | |
|
530 | 536 | self.dataOut.ippSeconds = self.ippSeconds |
|
531 | 537 | |
|
532 | 538 |
#Time interval between profiles |
|
533 | 539 | #self.dataOut.timeInterval = self.dataOut.ippSeconds * self.dataOut.nCohInt |
|
534 | 540 | |
|
535 | 541 | self.dataOut.frequency = self.__frequency |
|
536 | ||
|
537 | 542 | self.dataOut.realtime = self.online |
|
538 | 543 | pass |
|
539 | 544 | |
|
540 | 545 | def readNextFile(self,online=False): |
|
541 | 546 | |
|
542 | 547 | if not(online): |
|
543 | 548 | newFile = self.__setNextFileOffline() |
|
544 | 549 | else: |
|
545 | 550 |
newFile = self.__setNextFileOnline() |
|
546 | 551 | |
|
547 | 552 | if not(newFile): |
|
548 | 553 | return 0 |
|
549 | ||
|
550 | 554 | #if self.__firstFile: |
|
551 | 555 | self.readAMISRHeader(self.amisrFilePointer) |
|
556 | ||
|
552 | 557 | self.createBuffers() |
|
558 | ||
|
553 | 559 | self.fillJROHeader() |
|
560 | ||
|
554 | 561 | #self.__firstFile = False |
|
555 | 562 | |
|
556 | 563 | |
|
557 | 564 | |
|
558 | 565 | self.dataset,self.timeset = self.readData() |
|
559 | 566 | |
|
560 | 567 | if self.endDate!=None: |
|
561 | 568 | endDateTime_Reader = datetime.datetime.combine(self.endDate,self.endTime) |
|
562 | 569 | time_str = self.amisrFilePointer.get('Time/RadacTimeString') |
|
563 | startDateTimeStr_File = time_str[0][0].split('.')[0] | |
|
570 | startDateTimeStr_File = time_str[0][0].decode('UTF-8').split('.')[0] | |
|
564 | 571 | junk = time.strptime(startDateTimeStr_File, '%Y-%m-%d %H:%M:%S') |
|
565 | 572 | startDateTime_File = datetime.datetime(junk.tm_year,junk.tm_mon,junk.tm_mday,junk.tm_hour, junk.tm_min, junk.tm_sec) |
|
566 | 573 | if self.timezone == 'lt': |
|
567 | 574 | startDateTime_File = startDateTime_File - datetime.timedelta(minutes = 300) |
|
568 | 575 | if (startDateTime_File>endDateTime_Reader): |
|
569 | 576 | return 0 |
|
570 | 577 | |
|
571 | 578 | self.jrodataset = self.reshapeData() |
|
572 | 579 | #----self.updateIndexes() |
|
573 | 580 | self.profileIndex = 0 |
|
574 | 581 | |
|
575 | 582 | return 1 |
|
576 | 583 | |
|
577 | 584 | |
|
578 | 585 | def __hasNotDataInBuffer(self): |
|
579 | 586 | if self.profileIndex >= (self.newProfiles*self.nblocks): |
|
580 | 587 | return 1 |
|
581 | 588 | return 0 |
|
582 | 589 | |
|
583 | 590 | |
|
584 | 591 | def getData(self): |
|
585 | 592 | |
|
586 | 593 | if self.flagNoMoreFiles: |
|
587 | 594 | self.dataOut.flagNoData = True |
|
588 | 595 | return 0 |
|
589 | 596 | |
|
590 | 597 | if self.__hasNotDataInBuffer(): |
|
591 | 598 | if not (self.readNextFile(self.online)): |
|
592 | 599 | return 0 |
|
593 | 600 | |
|
594 | 601 | |
|
595 |
if self.dataset is None: # setear esta condicion cuando no hayan datos por leer |
|
|
602 | if self.dataset is None: # setear esta condicion cuando no hayan datos por leer | |
|
596 | 603 |
self.dataOut.flagNoData = True |
|
597 | 604 | return 0 |
|
598 | 605 | |
|
599 | 606 | #self.dataOut.data = numpy.reshape(self.jrodataset[self.profileIndex,:],(1,-1)) |
|
600 | 607 | |
|
601 | 608 | self.dataOut.data = self.jrodataset[:,self.profileIndex,:] |
|
602 | 609 | |
|
610 | #print("R_t",self.timeset) | |
|
611 | ||
|
603 | 612 | #self.dataOut.utctime = self.jrotimeset[self.profileIndex] |
|
604 | 613 | #verificar basic header de jro data y ver si es compatible con este valor |
|
605 | 614 | #self.dataOut.utctime = self.timeset + (self.profileIndex * self.ippSeconds * self.nchannels) |
|
606 | 615 | indexprof = numpy.mod(self.profileIndex, self.newProfiles) |
|
607 | 616 | indexblock = self.profileIndex/self.newProfiles |
|
608 | #print indexblock, indexprof | |
|
609 | self.dataOut.utctime = self.timeset[indexblock] + (indexprof * self.ippSeconds * self.nchannels) | |
|
617 | #print (indexblock, indexprof) | |
|
618 | diffUTC = 1.8e4 #UTC diference from peru in seconds --Joab | |
|
619 | diffUTC = 0 | |
|
620 | t_comp = (indexprof * self.ippSeconds * self.nchannels) + diffUTC # | |
|
621 | #cambio posible 18/02/2020 | |
|
622 | ||
|
623 | ||
|
624 | ||
|
625 | #print("utc :",indexblock," __ ",t_comp) | |
|
626 | #print(numpy.shape(self.timeset)) | |
|
627 | self.dataOut.utctime = self.timeset[numpy.int_(indexblock)] + t_comp | |
|
628 | #self.dataOut.utctime = self.timeset[self.profileIndex] + t_comp | |
|
629 | #print(self.dataOut.utctime) | |
|
610 | 630 | self.dataOut.profileIndex = self.profileIndex |
|
611 | 631 | self.dataOut.flagNoData = False |
|
612 | 632 | # if indexprof == 0: |
|
613 | 633 | # print self.dataOut.utctime |
|
614 | 634 | |
|
615 | 635 | self.profileIndex += 1 |
|
616 | 636 | |
|
617 | 637 | return self.dataOut.data |
|
618 | 638 | |
|
619 | 639 | |
|
620 | 640 | def run(self, **kwargs): |
|
621 | 641 | ''' |
|
622 | 642 | This method will be called many times so here you should put all your code |
|
623 | 643 | ''' |
|
624 | 644 | |
|
625 | 645 | if not self.isConfig: |
|
626 | 646 | self.setup(**kwargs) |
|
627 | 647 | self.isConfig = True |
|
628 | 648 | |
|
629 | 649 | self.getData() |
@@ -1,1435 +1,1435 | |||
|
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 | import schainpy.admin |
|
9 | 9 | from schainpy.model.data.jrodata import * |
|
10 | 10 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
11 | 11 | from schainpy.model.io.jroIO_base import * |
|
12 | 12 | from schainpy.utils import log |
|
13 | 13 | |
|
14 | 14 | @MPDecorator |
|
15 | 15 | class ParamReader(JRODataReader,ProcessingUnit): |
|
16 | 16 | ''' |
|
17 | 17 | Reads HDF5 format files |
|
18 | 18 | path |
|
19 | 19 | startDate |
|
20 | 20 | endDate |
|
21 | 21 | startTime |
|
22 | 22 | endTime |
|
23 | 23 | ''' |
|
24 | 24 | |
|
25 | 25 | ext = ".hdf5" |
|
26 | 26 | optchar = "D" |
|
27 | 27 | timezone = None |
|
28 | 28 | startTime = None |
|
29 | 29 | endTime = None |
|
30 | 30 | fileIndex = None |
|
31 | 31 | utcList = None #To select data in the utctime list |
|
32 | 32 | blockList = None #List to blocks to be read from the file |
|
33 | 33 | blocksPerFile = None #Number of blocks to be read |
|
34 | 34 | blockIndex = None |
|
35 | 35 | path = None |
|
36 | 36 | #List of Files |
|
37 | 37 | filenameList = None |
|
38 | 38 | datetimeList = None |
|
39 | 39 | #Hdf5 File |
|
40 | 40 | listMetaname = None |
|
41 | 41 | listMeta = None |
|
42 | 42 | listDataname = None |
|
43 | 43 | listData = None |
|
44 | 44 | listShapes = None |
|
45 | 45 | fp = None |
|
46 | 46 | #dataOut reconstruction |
|
47 | 47 | dataOut = None |
|
48 | 48 | |
|
49 | 49 | def __init__(self):#, **kwargs): |
|
50 | 50 | ProcessingUnit.__init__(self) #, **kwargs) |
|
51 | 51 | self.dataOut = Parameters() |
|
52 | 52 | return |
|
53 | 53 | |
|
54 | 54 | def setup(self, **kwargs): |
|
55 | 55 | |
|
56 | 56 | path = kwargs['path'] |
|
57 | 57 | startDate = kwargs['startDate'] |
|
58 | 58 | endDate = kwargs['endDate'] |
|
59 | 59 | startTime = kwargs['startTime'] |
|
60 | 60 | endTime = kwargs['endTime'] |
|
61 | 61 | walk = kwargs['walk'] |
|
62 | 62 | if 'ext' in kwargs: |
|
63 | 63 | ext = kwargs['ext'] |
|
64 | 64 | else: |
|
65 | 65 | ext = '.hdf5' |
|
66 | 66 | if 'timezone' in kwargs: |
|
67 | 67 | self.timezone = kwargs['timezone'] |
|
68 | 68 | else: |
|
69 | 69 | self.timezone = 'lt' |
|
70 | 70 | |
|
71 | 71 | print("[Reading] Searching files in offline mode ...") |
|
72 | 72 | pathList, filenameList = self.searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
73 | 73 | startTime=startTime, endTime=endTime, |
|
74 | 74 | ext=ext, walk=walk) |
|
75 | 75 | |
|
76 | 76 | if not(filenameList): |
|
77 | 77 | print("There is no files into the folder: %s"%(path)) |
|
78 | 78 | sys.exit(-1) |
|
79 | 79 | |
|
80 | 80 | self.fileIndex = -1 |
|
81 | 81 | self.startTime = startTime |
|
82 | 82 | self.endTime = endTime |
|
83 | 83 | |
|
84 | 84 | self.__readMetadata() |
|
85 | 85 | |
|
86 | 86 | self.__setNextFileOffline() |
|
87 | 87 | |
|
88 | 88 | return |
|
89 | 89 | |
|
90 | 90 | def searchFilesOffLine(self, |
|
91 | 91 | path, |
|
92 | 92 | startDate=None, |
|
93 | 93 | endDate=None, |
|
94 | 94 | startTime=datetime.time(0,0,0), |
|
95 | 95 | endTime=datetime.time(23,59,59), |
|
96 | 96 | ext='.hdf5', |
|
97 | 97 | walk=True): |
|
98 | 98 | |
|
99 | 99 | expLabel = '' |
|
100 | 100 | self.filenameList = [] |
|
101 | 101 | self.datetimeList = [] |
|
102 | 102 | |
|
103 | 103 | pathList = [] |
|
104 | 104 | |
|
105 | 105 | JRODataObj = JRODataReader() |
|
106 | 106 | dateList, pathList = JRODataObj.findDatafiles(path, startDate, endDate, expLabel, ext, walk, include_path=True) |
|
107 | 107 | |
|
108 | 108 | if dateList == []: |
|
109 | 109 | print("[Reading] No *%s files in %s from %s to %s)"%(ext, path, |
|
110 | 110 | datetime.datetime.combine(startDate,startTime).ctime(), |
|
111 | 111 | datetime.datetime.combine(endDate,endTime).ctime())) |
|
112 | 112 | |
|
113 | 113 | return None, None |
|
114 | 114 | |
|
115 | 115 | if len(dateList) > 1: |
|
116 | 116 | print("[Reading] %d days were found in date range: %s - %s" %(len(dateList), startDate, endDate)) |
|
117 | 117 | else: |
|
118 | 118 | print("[Reading] data was found for the date %s" %(dateList[0])) |
|
119 | 119 | |
|
120 | 120 | filenameList = [] |
|
121 | 121 | datetimeList = [] |
|
122 | 122 | |
|
123 | 123 | #---------------------------------------------------------------------------------- |
|
124 | 124 | |
|
125 | 125 | for thisPath in pathList: |
|
126 | 126 | |
|
127 | 127 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
128 | 128 | fileList.sort() |
|
129 | 129 | |
|
130 | 130 | for file in fileList: |
|
131 | 131 | |
|
132 | 132 | filename = os.path.join(thisPath,file) |
|
133 | 133 | |
|
134 | 134 | if not isFileInDateRange(filename, startDate, endDate): |
|
135 | 135 | continue |
|
136 | 136 | |
|
137 | 137 | thisDatetime = self.__isFileInTimeRange(filename, startDate, endDate, startTime, endTime) |
|
138 | 138 | |
|
139 | 139 | if not(thisDatetime): |
|
140 | 140 | continue |
|
141 | 141 | |
|
142 | 142 | filenameList.append(filename) |
|
143 | 143 | datetimeList.append(thisDatetime) |
|
144 | 144 | |
|
145 | 145 | if not(filenameList): |
|
146 | 146 | print("[Reading] Any file was found int time range %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime())) |
|
147 | 147 | return None, None |
|
148 | 148 | |
|
149 | 149 | print("[Reading] %d file(s) was(were) found in time range: %s - %s" %(len(filenameList), startTime, endTime)) |
|
150 | 150 | print() |
|
151 | 151 | |
|
152 | 152 | self.filenameList = filenameList |
|
153 | 153 | self.datetimeList = datetimeList |
|
154 | 154 | |
|
155 | 155 | return pathList, filenameList |
|
156 | 156 | |
|
157 | 157 | def __isFileInTimeRange(self,filename, startDate, endDate, startTime, endTime): |
|
158 | 158 | |
|
159 | 159 | """ |
|
160 | 160 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
161 | 161 | |
|
162 | 162 | Inputs: |
|
163 | 163 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
164 | 164 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
165 | 165 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
166 | 166 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
167 | 167 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
168 | 168 | |
|
169 | 169 | Return: |
|
170 | 170 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
171 | 171 | fecha especificado, de lo contrario retorna False. |
|
172 | 172 | |
|
173 | 173 | Excepciones: |
|
174 | 174 | Si el archivo no existe o no puede ser abierto |
|
175 | 175 | Si la cabecera no puede ser leida. |
|
176 | 176 | |
|
177 | 177 | """ |
|
178 | 178 | |
|
179 | 179 | try: |
|
180 | 180 | fp = h5py.File(filename,'r') |
|
181 | 181 | grp1 = fp['Data'] |
|
182 | 182 | |
|
183 | 183 | except IOError: |
|
184 | 184 | traceback.print_exc() |
|
185 | 185 | raise IOError("The file %s can't be opened" %(filename)) |
|
186 | 186 | |
|
187 | 187 | #In case has utctime attribute |
|
188 | 188 | grp2 = grp1['utctime'] |
|
189 | 189 | # thisUtcTime = grp2.value[0] - 5*3600 #To convert to local time |
|
190 | 190 | thisUtcTime = grp2.value[0] |
|
191 | 191 | |
|
192 | 192 | fp.close() |
|
193 | 193 | |
|
194 | 194 | if self.timezone == 'lt': |
|
195 | 195 | thisUtcTime -= 5*3600 |
|
196 | 196 | |
|
197 | 197 | thisDatetime = datetime.datetime.fromtimestamp(thisUtcTime[0] + 5*3600) |
|
198 | 198 | thisDate = thisDatetime.date() |
|
199 | 199 | thisTime = thisDatetime.time() |
|
200 | 200 | |
|
201 | 201 | startUtcTime = (datetime.datetime.combine(thisDate,startTime)- datetime.datetime(1970, 1, 1)).total_seconds() |
|
202 | 202 | endUtcTime = (datetime.datetime.combine(thisDate,endTime)- datetime.datetime(1970, 1, 1)).total_seconds() |
|
203 | 203 | |
|
204 | 204 | #General case |
|
205 | 205 | # o>>>>>>>>>>>>>><<<<<<<<<<<<<<o |
|
206 | 206 | #-----------o----------------------------o----------- |
|
207 | 207 | # startTime endTime |
|
208 | 208 | |
|
209 | 209 | if endTime >= startTime: |
|
210 | 210 | thisUtcLog = numpy.logical_and(thisUtcTime > startUtcTime, thisUtcTime < endUtcTime) |
|
211 | 211 | if numpy.any(thisUtcLog): #If there is one block between the hours mentioned |
|
212 | 212 | return thisDatetime |
|
213 | 213 | return None |
|
214 | 214 | |
|
215 | 215 | #If endTime < startTime then endTime belongs to the next day |
|
216 | 216 | #<<<<<<<<<<<o o>>>>>>>>>>> |
|
217 | 217 | #-----------o----------------------------o----------- |
|
218 | 218 | # endTime startTime |
|
219 | 219 | |
|
220 | 220 | if (thisDate == startDate) and numpy.all(thisUtcTime < startUtcTime): |
|
221 | 221 | return None |
|
222 | 222 | |
|
223 | 223 | if (thisDate == endDate) and numpy.all(thisUtcTime > endUtcTime): |
|
224 | 224 | return None |
|
225 | 225 | |
|
226 | 226 | if numpy.all(thisUtcTime < startUtcTime) and numpy.all(thisUtcTime > endUtcTime): |
|
227 | 227 | return None |
|
228 | 228 | |
|
229 | 229 | return thisDatetime |
|
230 | 230 | |
|
231 | 231 | def __setNextFileOffline(self): |
|
232 | 232 | |
|
233 | 233 | self.fileIndex += 1 |
|
234 | 234 | idFile = self.fileIndex |
|
235 | 235 | |
|
236 | 236 | if not(idFile < len(self.filenameList)): |
|
237 | 237 | raise schainpy.admin.SchainError("No more Files") |
|
238 | 238 | return 0 |
|
239 | 239 | |
|
240 | 240 | filename = self.filenameList[idFile] |
|
241 | 241 | filePointer = h5py.File(filename,'r') |
|
242 | 242 | self.filename = filename |
|
243 | 243 | self.fp = filePointer |
|
244 | 244 | |
|
245 | 245 | print("Setting the file: %s"%self.filename) |
|
246 | 246 | |
|
247 | 247 | self.__setBlockList() |
|
248 | 248 | self.__readData() |
|
249 | 249 | self.blockIndex = 0 |
|
250 | 250 | return 1 |
|
251 | 251 | |
|
252 | 252 | def __setBlockList(self): |
|
253 | 253 | ''' |
|
254 | 254 | Selects the data within the times defined |
|
255 | 255 | |
|
256 | 256 | self.fp |
|
257 | 257 | self.startTime |
|
258 | 258 | self.endTime |
|
259 | 259 | |
|
260 | 260 | self.blockList |
|
261 | 261 | self.blocksPerFile |
|
262 | 262 | |
|
263 | 263 | ''' |
|
264 | 264 | fp = self.fp |
|
265 | 265 | startTime = self.startTime |
|
266 | 266 | endTime = self.endTime |
|
267 | 267 | |
|
268 | 268 | grp = fp['Data'] |
|
269 | 269 | thisUtcTime = grp['utctime'].value.astype(numpy.float)[0] |
|
270 | 270 | |
|
271 | 271 | #ERROOOOR |
|
272 | 272 | if self.timezone == 'lt': |
|
273 | 273 | thisUtcTime -= 5*3600 |
|
274 | 274 | |
|
275 | 275 | thisDatetime = datetime.datetime.fromtimestamp(thisUtcTime[0] + 5*3600) |
|
276 | 276 | |
|
277 | 277 | thisDate = thisDatetime.date() |
|
278 | 278 | thisTime = thisDatetime.time() |
|
279 | 279 | |
|
280 | 280 | startUtcTime = (datetime.datetime.combine(thisDate,startTime) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
281 | 281 | endUtcTime = (datetime.datetime.combine(thisDate,endTime) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
282 | 282 | |
|
283 | 283 | ind = numpy.where(numpy.logical_and(thisUtcTime >= startUtcTime, thisUtcTime < endUtcTime))[0] |
|
284 | 284 | |
|
285 | 285 | self.blockList = ind |
|
286 | 286 | self.blocksPerFile = len(ind) |
|
287 | 287 | |
|
288 | 288 | return |
|
289 | 289 | |
|
290 | 290 | def __readMetadata(self): |
|
291 | 291 | ''' |
|
292 | 292 | Reads Metadata |
|
293 | 293 | |
|
294 | 294 | self.pathMeta |
|
295 | 295 | self.listShapes |
|
296 | 296 | self.listMetaname |
|
297 | 297 | self.listMeta |
|
298 | 298 | |
|
299 | 299 | ''' |
|
300 | 300 | |
|
301 | 301 | filename = self.filenameList[0] |
|
302 | 302 | fp = h5py.File(filename,'r') |
|
303 | 303 | gp = fp['Metadata'] |
|
304 | 304 | |
|
305 | 305 | listMetaname = [] |
|
306 | 306 | listMetadata = [] |
|
307 | 307 | for item in list(gp.items()): |
|
308 | 308 | name = item[0] |
|
309 | 309 | |
|
310 | 310 | if name=='array dimensions': |
|
311 | 311 | table = gp[name][:] |
|
312 | 312 | listShapes = {} |
|
313 | 313 | for shapes in table: |
|
314 | 314 | listShapes[shapes[0]] = numpy.array([shapes[1],shapes[2],shapes[3],shapes[4],shapes[5]]) |
|
315 | 315 | else: |
|
316 | 316 | data = gp[name].value |
|
317 | 317 | listMetaname.append(name) |
|
318 | 318 | listMetadata.append(data) |
|
319 | 319 | |
|
320 | 320 | self.listShapes = listShapes |
|
321 | 321 | self.listMetaname = listMetaname |
|
322 | 322 | self.listMeta = listMetadata |
|
323 | 323 | |
|
324 | 324 | fp.close() |
|
325 | 325 | return |
|
326 | 326 | |
|
327 | 327 | def __readData(self): |
|
328 | 328 | grp = self.fp['Data'] |
|
329 | 329 | listdataname = [] |
|
330 | 330 | listdata = [] |
|
331 | 331 | |
|
332 | 332 | for item in list(grp.items()): |
|
333 | 333 | name = item[0] |
|
334 | 334 | listdataname.append(name) |
|
335 | 335 | |
|
336 | 336 | array = self.__setDataArray(grp[name],self.listShapes[name]) |
|
337 | 337 | listdata.append(array) |
|
338 | 338 | |
|
339 | 339 | self.listDataname = listdataname |
|
340 | 340 | self.listData = listdata |
|
341 | 341 | return |
|
342 | 342 | |
|
343 | 343 | def __setDataArray(self, dataset, shapes): |
|
344 | 344 | |
|
345 | 345 | nDims = shapes[0] |
|
346 | 346 | nDim2 = shapes[1] #Dimension 0 |
|
347 | 347 | nDim1 = shapes[2] #Dimension 1, number of Points or Parameters |
|
348 | 348 | nDim0 = shapes[3] #Dimension 2, number of samples or ranges |
|
349 | 349 | mode = shapes[4] #Mode of storing |
|
350 | 350 | blockList = self.blockList |
|
351 | 351 | blocksPerFile = self.blocksPerFile |
|
352 | 352 | |
|
353 | 353 | #Depending on what mode the data was stored |
|
354 | 354 | if mode == 0: #Divided in channels |
|
355 | 355 | arrayData = dataset.value.astype(numpy.float)[0][blockList] |
|
356 | 356 | if mode == 1: #Divided in parameter |
|
357 | 357 | strds = 'table' |
|
358 | 358 | nDatas = nDim1 |
|
359 | 359 | newShapes = (blocksPerFile,nDim2,nDim0) |
|
360 | 360 | elif mode==2: #Concatenated in a table |
|
361 | 361 | strds = 'table0' |
|
362 | 362 | arrayData = dataset[strds].value |
|
363 | 363 | #Selecting part of the dataset |
|
364 | 364 | utctime = arrayData[:,0] |
|
365 | 365 | u, indices = numpy.unique(utctime, return_index=True) |
|
366 | 366 | |
|
367 | 367 | if blockList.size != indices.size: |
|
368 | 368 | indMin = indices[blockList[0]] |
|
369 | 369 | if blockList[1] + 1 >= indices.size: |
|
370 | 370 | arrayData = arrayData[indMin:,:] |
|
371 | 371 | else: |
|
372 | 372 | indMax = indices[blockList[1] + 1] |
|
373 | 373 | arrayData = arrayData[indMin:indMax,:] |
|
374 | 374 | return arrayData |
|
375 | 375 | |
|
376 | 376 | # One dimension |
|
377 | 377 | if nDims == 0: |
|
378 | 378 | arrayData = dataset.value.astype(numpy.float)[0][blockList] |
|
379 | 379 | |
|
380 | 380 | # Two dimensions |
|
381 | 381 | elif nDims == 2: |
|
382 | 382 | arrayData = numpy.zeros((blocksPerFile,nDim1,nDim0)) |
|
383 | 383 | newShapes = (blocksPerFile,nDim0) |
|
384 | 384 | nDatas = nDim1 |
|
385 | 385 | |
|
386 | 386 | for i in range(nDatas): |
|
387 | 387 | data = dataset[strds + str(i)].value |
|
388 | 388 | arrayData[:,i,:] = data[blockList,:] |
|
389 | 389 | |
|
390 | 390 | # Three dimensions |
|
391 | 391 | else: |
|
392 | 392 | arrayData = numpy.zeros((blocksPerFile,nDim2,nDim1,nDim0)) |
|
393 | 393 | for i in range(nDatas): |
|
394 | 394 | |
|
395 | 395 | data = dataset[strds + str(i)].value |
|
396 | 396 | |
|
397 | 397 | for b in range(blockList.size): |
|
398 | 398 | arrayData[b,:,i,:] = data[:,:,blockList[b]] |
|
399 | 399 | |
|
400 | 400 | return arrayData |
|
401 | 401 | |
|
402 | 402 | def __setDataOut(self): |
|
403 | 403 | listMeta = self.listMeta |
|
404 | 404 | listMetaname = self.listMetaname |
|
405 | 405 | listDataname = self.listDataname |
|
406 | 406 | listData = self.listData |
|
407 | 407 | listShapes = self.listShapes |
|
408 | 408 | |
|
409 | 409 | blockIndex = self.blockIndex |
|
410 | 410 | # blockList = self.blockList |
|
411 | 411 | |
|
412 | 412 | for i in range(len(listMeta)): |
|
413 | 413 | setattr(self.dataOut,listMetaname[i],listMeta[i]) |
|
414 | 414 | |
|
415 | 415 | for j in range(len(listData)): |
|
416 | 416 | nShapes = listShapes[listDataname[j]][0] |
|
417 | 417 | mode = listShapes[listDataname[j]][4] |
|
418 | 418 | if nShapes == 1: |
|
419 | 419 | setattr(self.dataOut,listDataname[j],listData[j][blockIndex]) |
|
420 | 420 | elif nShapes > 1: |
|
421 | 421 | setattr(self.dataOut,listDataname[j],listData[j][blockIndex,:]) |
|
422 | 422 | elif mode==0: |
|
423 | 423 | setattr(self.dataOut,listDataname[j],listData[j][blockIndex]) |
|
424 | 424 | #Mode Meteors |
|
425 | 425 | elif mode ==2: |
|
426 | 426 | selectedData = self.__selectDataMode2(listData[j], blockIndex) |
|
427 | 427 | setattr(self.dataOut, listDataname[j], selectedData) |
|
428 | 428 | return |
|
429 | 429 | |
|
430 | 430 | def __selectDataMode2(self, data, blockIndex): |
|
431 | 431 | utctime = data[:,0] |
|
432 | 432 | aux, indices = numpy.unique(utctime, return_inverse=True) |
|
433 | 433 | selInd = numpy.where(indices == blockIndex)[0] |
|
434 | 434 | selData = data[selInd,:] |
|
435 | 435 | |
|
436 | 436 | return selData |
|
437 | 437 | |
|
438 | 438 | def getData(self): |
|
439 | 439 | |
|
440 | 440 | if self.blockIndex==self.blocksPerFile: |
|
441 | 441 | if not( self.__setNextFileOffline() ): |
|
442 | 442 | self.dataOut.flagNoData = True |
|
443 | 443 | return 0 |
|
444 | 444 | |
|
445 | 445 | self.__setDataOut() |
|
446 | 446 | self.dataOut.flagNoData = False |
|
447 | 447 | |
|
448 | 448 | self.blockIndex += 1 |
|
449 | 449 | |
|
450 | 450 | return |
|
451 | 451 | |
|
452 | 452 | def run(self, **kwargs): |
|
453 | 453 | |
|
454 | 454 | if not(self.isConfig): |
|
455 | 455 | self.setup(**kwargs) |
|
456 | 456 | self.isConfig = True |
|
457 | 457 | |
|
458 | 458 | self.getData() |
|
459 | 459 | |
|
460 | 460 | return |
|
461 | 461 | |
|
462 | 462 | @MPDecorator |
|
463 | 463 | class ParamWriter(Operation): |
|
464 | 464 | ''' |
|
465 | 465 | HDF5 Writer, stores parameters data in HDF5 format files |
|
466 | 466 | |
|
467 | 467 | path: path where the files will be stored |
|
468 | 468 | blocksPerFile: number of blocks that will be saved in per HDF5 format file |
|
469 | 469 | mode: selects the data stacking mode: '0' channels, '1' parameters, '3' table (for meteors) |
|
470 | 470 | metadataList: list of attributes that will be stored as metadata |
|
471 | 471 | dataList: list of attributes that will be stores as data |
|
472 | 472 | ''' |
|
473 | 473 | |
|
474 | 474 | ext = ".hdf5" |
|
475 | 475 | optchar = "D" |
|
476 | 476 | metaoptchar = "M" |
|
477 | 477 | metaFile = None |
|
478 | 478 | filename = None |
|
479 | 479 | path = None |
|
480 | 480 | setFile = None |
|
481 | 481 | fp = None |
|
482 | 482 | grp = None |
|
483 | 483 | ds = None |
|
484 | 484 | firsttime = True |
|
485 | 485 | #Configurations |
|
486 | 486 | blocksPerFile = None |
|
487 | 487 | blockIndex = None |
|
488 | 488 | dataOut = None |
|
489 | 489 | #Data Arrays |
|
490 | 490 | dataList = None |
|
491 | 491 | metadataList = None |
|
492 | 492 | dsList = None #List of dictionaries with dataset properties |
|
493 | 493 | tableDim = None |
|
494 | 494 | dtype = [('arrayName', 'S20'),('nDimensions', 'i'), ('dim2', 'i'), ('dim1', 'i'),('dim0', 'i'),('mode', 'b')] |
|
495 | 495 | currentDay = None |
|
496 | 496 | lastTime = None |
|
497 | 497 | setType = None |
|
498 | 498 | |
|
499 | 499 | def __init__(self): |
|
500 | 500 | |
|
501 | 501 | Operation.__init__(self) |
|
502 | 502 | return |
|
503 | 503 | |
|
504 | 504 | def setup(self, dataOut, path=None, blocksPerFile=10, metadataList=None, dataList=None, mode=None, setType=None): |
|
505 | 505 | self.path = path |
|
506 | 506 | self.blocksPerFile = blocksPerFile |
|
507 | 507 | self.metadataList = metadataList |
|
508 | 508 | self.dataList = dataList |
|
509 | 509 | self.dataOut = dataOut |
|
510 | 510 | self.mode = mode |
|
511 | 511 | if self.mode is not None: |
|
512 | 512 | self.mode = numpy.zeros(len(self.dataList)) + mode |
|
513 | 513 | else: |
|
514 | 514 | self.mode = numpy.ones(len(self.dataList)) |
|
515 | 515 | |
|
516 | 516 | self.setType = setType |
|
517 | 517 | |
|
518 | 518 | arrayDim = numpy.zeros((len(self.dataList),5)) |
|
519 | 519 | |
|
520 | 520 | #Table dimensions |
|
521 | 521 | dtype0 = self.dtype |
|
522 | 522 | tableList = [] |
|
523 | 523 | |
|
524 | 524 | #Dictionary and list of tables |
|
525 | 525 | dsList = [] |
|
526 | 526 | |
|
527 | 527 | for i in range(len(self.dataList)): |
|
528 | 528 | dsDict = {} |
|
529 | 529 | dataAux = getattr(self.dataOut, self.dataList[i]) |
|
530 | 530 | dsDict['variable'] = self.dataList[i] |
|
531 | 531 | #--------------------- Conditionals ------------------------ |
|
532 | 532 | #There is no data |
|
533 | 533 | |
|
534 | 534 | if dataAux is None: |
|
535 | 535 | |
|
536 | 536 | return 0 |
|
537 | 537 | |
|
538 | 538 | if isinstance(dataAux, (int, float, numpy.integer, numpy.float)): |
|
539 | 539 | dsDict['mode'] = 0 |
|
540 | 540 | dsDict['nDim'] = 0 |
|
541 | 541 | arrayDim[i,0] = 0 |
|
542 | 542 | dsList.append(dsDict) |
|
543 | 543 | |
|
544 | 544 | #Mode 2: meteors |
|
545 | 545 | elif self.mode[i] == 2: |
|
546 | 546 | dsDict['dsName'] = 'table0' |
|
547 | 547 | dsDict['mode'] = 2 # Mode meteors |
|
548 | 548 | dsDict['shape'] = dataAux.shape[-1] |
|
549 | 549 | dsDict['nDim'] = 0 |
|
550 | 550 | dsDict['dsNumber'] = 1 |
|
551 | 551 | arrayDim[i,3] = dataAux.shape[-1] |
|
552 | 552 | arrayDim[i,4] = self.mode[i] #Mode the data was stored |
|
553 | 553 | dsList.append(dsDict) |
|
554 | 554 | |
|
555 | 555 | #Mode 1 |
|
556 | 556 | else: |
|
557 | 557 | arrayDim0 = dataAux.shape #Data dimensions |
|
558 | 558 | arrayDim[i,0] = len(arrayDim0) #Number of array dimensions |
|
559 | 559 | arrayDim[i,4] = self.mode[i] #Mode the data was stored |
|
560 | 560 | strtable = 'table' |
|
561 | 561 | dsDict['mode'] = 1 # Mode parameters |
|
562 | 562 | |
|
563 | 563 | # Three-dimension arrays |
|
564 | 564 | if len(arrayDim0) == 3: |
|
565 | 565 | arrayDim[i,1:-1] = numpy.array(arrayDim0) |
|
566 | 566 | nTables = int(arrayDim[i,2]) |
|
567 | 567 | dsDict['dsNumber'] = nTables |
|
568 | 568 | dsDict['shape'] = arrayDim[i,2:4] |
|
569 | 569 | dsDict['nDim'] = 3 |
|
570 | 570 | |
|
571 | 571 | for j in range(nTables): |
|
572 | 572 | dsDict = dsDict.copy() |
|
573 | 573 | dsDict['dsName'] = strtable + str(j) |
|
574 | 574 | dsList.append(dsDict) |
|
575 | 575 | |
|
576 | 576 | # Two-dimension arrays |
|
577 | 577 | elif len(arrayDim0) == 2: |
|
578 | 578 | arrayDim[i,2:-1] = numpy.array(arrayDim0) |
|
579 | 579 | nTables = int(arrayDim[i,2]) |
|
580 | 580 | dsDict['dsNumber'] = nTables |
|
581 | 581 | dsDict['shape'] = arrayDim[i,3] |
|
582 | 582 | dsDict['nDim'] = 2 |
|
583 | 583 | |
|
584 | 584 | for j in range(nTables): |
|
585 | 585 | dsDict = dsDict.copy() |
|
586 | 586 | dsDict['dsName'] = strtable + str(j) |
|
587 | 587 | dsList.append(dsDict) |
|
588 | 588 | |
|
589 | 589 | # One-dimension arrays |
|
590 | 590 | elif len(arrayDim0) == 1: |
|
591 | 591 | arrayDim[i,3] = arrayDim0[0] |
|
592 | 592 | dsDict['shape'] = arrayDim0[0] |
|
593 | 593 | dsDict['dsNumber'] = 1 |
|
594 | 594 | dsDict['dsName'] = strtable + str(0) |
|
595 | 595 | dsDict['nDim'] = 1 |
|
596 | 596 | dsList.append(dsDict) |
|
597 | 597 | |
|
598 | 598 | table = numpy.array((self.dataList[i],) + tuple(arrayDim[i,:]),dtype = dtype0) |
|
599 | 599 | tableList.append(table) |
|
600 | 600 | |
|
601 | 601 | self.dsList = dsList |
|
602 | 602 | self.tableDim = numpy.array(tableList, dtype = dtype0) |
|
603 | 603 | self.blockIndex = 0 |
|
604 | 604 | timeTuple = time.localtime(dataOut.utctime) |
|
605 | 605 | self.currentDay = timeTuple.tm_yday |
|
606 | 606 | |
|
607 | 607 | def putMetadata(self): |
|
608 | 608 | |
|
609 | 609 | fp = self.createMetadataFile() |
|
610 | 610 | self.writeMetadata(fp) |
|
611 | 611 | fp.close() |
|
612 | 612 | return |
|
613 | 613 | |
|
614 | 614 | def createMetadataFile(self): |
|
615 | 615 | ext = self.ext |
|
616 | 616 | path = self.path |
|
617 | 617 | setFile = self.setFile |
|
618 | 618 | |
|
619 | 619 | timeTuple = time.localtime(self.dataOut.utctime) |
|
620 | 620 | |
|
621 | 621 | subfolder = '' |
|
622 | 622 | fullpath = os.path.join( path, subfolder ) |
|
623 | 623 | |
|
624 | 624 | if not( os.path.exists(fullpath) ): |
|
625 | 625 | os.mkdir(fullpath) |
|
626 | 626 | setFile = -1 #inicializo mi contador de seteo |
|
627 | 627 | |
|
628 | 628 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
629 | 629 | fullpath = os.path.join( path, subfolder ) |
|
630 | 630 | |
|
631 | 631 | if not( os.path.exists(fullpath) ): |
|
632 | 632 | os.mkdir(fullpath) |
|
633 | 633 | setFile = -1 #inicializo mi contador de seteo |
|
634 | 634 | |
|
635 | 635 | else: |
|
636 | 636 | filesList = os.listdir( fullpath ) |
|
637 | 637 | filesList = sorted( filesList, key=str.lower ) |
|
638 | 638 | if len( filesList ) > 0: |
|
639 | 639 | filesList = [k for k in filesList if k.startswith(self.metaoptchar)] |
|
640 | 640 | filen = filesList[-1] |
|
641 | 641 | # el filename debera tener el siguiente formato |
|
642 | 642 | # 0 1234 567 89A BCDE (hex) |
|
643 | 643 | # x YYYY DDD SSS .ext |
|
644 | 644 | if isNumber( filen[8:11] ): |
|
645 | 645 | setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
646 | 646 | else: |
|
647 | 647 | setFile = -1 |
|
648 | 648 | else: |
|
649 | 649 | setFile = -1 #inicializo mi contador de seteo |
|
650 | 650 | |
|
651 | 651 | if self.setType is None: |
|
652 | 652 | setFile += 1 |
|
653 | 653 | file = '%s%4.4d%3.3d%03d%s' % (self.metaoptchar, |
|
654 | 654 | timeTuple.tm_year, |
|
655 | 655 | timeTuple.tm_yday, |
|
656 | 656 | setFile, |
|
657 | 657 | ext ) |
|
658 | 658 | else: |
|
659 | 659 | setFile = timeTuple.tm_hour*60+timeTuple.tm_min |
|
660 | 660 | file = '%s%4.4d%3.3d%04d%s' % (self.metaoptchar, |
|
661 | 661 | timeTuple.tm_year, |
|
662 | 662 | timeTuple.tm_yday, |
|
663 | 663 | setFile, |
|
664 | 664 | ext ) |
|
665 | 665 | |
|
666 | 666 | filename = os.path.join( path, subfolder, file ) |
|
667 | 667 | self.metaFile = file |
|
668 | 668 | #Setting HDF5 File |
|
669 | 669 | fp = h5py.File(filename,'w') |
|
670 | 670 | |
|
671 | 671 | return fp |
|
672 | 672 | |
|
673 | 673 | def writeMetadata(self, fp): |
|
674 | 674 | |
|
675 | 675 | grp = fp.create_group("Metadata") |
|
676 | 676 | grp.create_dataset('array dimensions', data = self.tableDim, dtype = self.dtype) |
|
677 | 677 | |
|
678 | 678 | for i in range(len(self.metadataList)): |
|
679 | 679 | grp.create_dataset(self.metadataList[i], data=getattr(self.dataOut, self.metadataList[i])) |
|
680 | 680 | return |
|
681 | 681 | |
|
682 | 682 | def timeFlag(self): |
|
683 | 683 | currentTime = self.dataOut.utctime |
|
684 | 684 | |
|
685 | 685 | if self.lastTime is None: |
|
686 | 686 | self.lastTime = currentTime |
|
687 | 687 | |
|
688 | 688 | #Day |
|
689 | 689 | timeTuple = time.localtime(currentTime) |
|
690 | 690 | dataDay = timeTuple.tm_yday |
|
691 | 691 | |
|
692 | 692 | #Time |
|
693 | 693 | timeDiff = currentTime - self.lastTime |
|
694 | 694 | |
|
695 | 695 | #Si el dia es diferente o si la diferencia entre un dato y otro supera la hora |
|
696 | 696 | if dataDay != self.currentDay: |
|
697 | 697 | self.currentDay = dataDay |
|
698 | 698 | return True |
|
699 | 699 | elif timeDiff > 3*60*60: |
|
700 | 700 | self.lastTime = currentTime |
|
701 | 701 | return True |
|
702 | 702 | else: |
|
703 | 703 | self.lastTime = currentTime |
|
704 | 704 | return False |
|
705 | 705 | |
|
706 | 706 | def setNextFile(self): |
|
707 | 707 | |
|
708 | 708 | ext = self.ext |
|
709 | 709 | path = self.path |
|
710 | 710 | setFile = self.setFile |
|
711 | 711 | mode = self.mode |
|
712 | 712 | |
|
713 | 713 | timeTuple = time.localtime(self.dataOut.utctime) |
|
714 | 714 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
715 | 715 | |
|
716 | 716 | fullpath = os.path.join( path, subfolder ) |
|
717 | 717 | |
|
718 | 718 | if os.path.exists(fullpath): |
|
719 | 719 | filesList = os.listdir( fullpath ) |
|
720 | filesList = [k for k in filesList if 'M' in k] | |
|
720 | ##filesList = [k for k in filesList if 'M' in k] | |
|
721 | 721 | if len( filesList ) > 0: |
|
722 | 722 | filesList = sorted( filesList, key=str.lower ) |
|
723 | 723 | filen = filesList[-1] |
|
724 | 724 | # el filename debera tener el siguiente formato |
|
725 | 725 | # 0 1234 567 89A BCDE (hex) |
|
726 | 726 | # x YYYY DDD SSS .ext |
|
727 | 727 | if isNumber( filen[8:11] ): |
|
728 | 728 | setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
729 | 729 | else: |
|
730 | 730 | setFile = -1 |
|
731 | 731 | else: |
|
732 | 732 | setFile = -1 #inicializo mi contador de seteo |
|
733 | 733 | else: |
|
734 | 734 | os.makedirs(fullpath) |
|
735 | 735 | setFile = -1 #inicializo mi contador de seteo |
|
736 | 736 | |
|
737 | 737 | if self.setType is None: |
|
738 | 738 | setFile += 1 |
|
739 | 739 | file = '%s%4.4d%3.3d%03d%s' % (self.optchar, |
|
740 | 740 | timeTuple.tm_year, |
|
741 | 741 | timeTuple.tm_yday, |
|
742 | 742 | setFile, |
|
743 | 743 | ext ) |
|
744 | 744 | else: |
|
745 | 745 | setFile = timeTuple.tm_hour*60+timeTuple.tm_min |
|
746 | 746 | file = '%s%4.4d%3.3d%04d%s' % (self.optchar, |
|
747 | 747 | timeTuple.tm_year, |
|
748 | 748 | timeTuple.tm_yday, |
|
749 | 749 | setFile, |
|
750 | 750 | ext ) |
|
751 | 751 | |
|
752 | 752 | filename = os.path.join( path, subfolder, file ) |
|
753 | 753 | |
|
754 | 754 | #Setting HDF5 File |
|
755 | 755 | fp = h5py.File(filename,'w') |
|
756 | 756 | #write metadata |
|
757 | 757 | self.writeMetadata(fp) |
|
758 | 758 | #Write data |
|
759 | 759 | grp = fp.create_group("Data") |
|
760 | 760 | ds = [] |
|
761 | 761 | data = [] |
|
762 | 762 | dsList = self.dsList |
|
763 | 763 | i = 0 |
|
764 | 764 | while i < len(dsList): |
|
765 | 765 | dsInfo = dsList[i] |
|
766 | 766 | #One-dimension data |
|
767 | 767 | if dsInfo['mode'] == 0: |
|
768 | 768 | ds0 = grp.create_dataset(dsInfo['variable'], (1,1), maxshape=(1,self.blocksPerFile) , chunks = True, dtype=numpy.float64) |
|
769 | 769 | ds.append(ds0) |
|
770 | 770 | data.append([]) |
|
771 | 771 | i += 1 |
|
772 | 772 | continue |
|
773 | 773 | |
|
774 | 774 | elif dsInfo['mode'] == 2: |
|
775 | 775 | grp0 = grp.create_group(dsInfo['variable']) |
|
776 | 776 | ds0 = grp0.create_dataset(dsInfo['dsName'], (1,dsInfo['shape']), data = numpy.zeros((1,dsInfo['shape'])) , maxshape=(None,dsInfo['shape']), chunks=True) |
|
777 | 777 | ds.append(ds0) |
|
778 | 778 | data.append([]) |
|
779 | 779 | i += 1 |
|
780 | 780 | continue |
|
781 | 781 | |
|
782 | 782 | elif dsInfo['mode'] == 1: |
|
783 | 783 | grp0 = grp.create_group(dsInfo['variable']) |
|
784 | 784 | |
|
785 | 785 | for j in range(dsInfo['dsNumber']): |
|
786 | 786 | dsInfo = dsList[i] |
|
787 | 787 | tableName = dsInfo['dsName'] |
|
788 | 788 | |
|
789 | 789 | |
|
790 | 790 | if dsInfo['nDim'] == 3: |
|
791 | 791 | shape = dsInfo['shape'].astype(int) |
|
792 | 792 | 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) |
|
793 | 793 | else: |
|
794 | 794 | shape = int(dsInfo['shape']) |
|
795 | 795 | ds0 = grp0.create_dataset(tableName, (1,shape), data = numpy.zeros((1,shape)) , maxshape=(None,shape), chunks=True) |
|
796 | 796 | |
|
797 | 797 | ds.append(ds0) |
|
798 | 798 | data.append([]) |
|
799 | 799 | i += 1 |
|
800 | 800 | |
|
801 | 801 | fp.flush() |
|
802 | 802 | fp.close() |
|
803 | 803 | |
|
804 | 804 | log.log('creating file: {}'.format(filename), 'Writing') |
|
805 | 805 | self.filename = filename |
|
806 | 806 | self.ds = ds |
|
807 | 807 | self.data = data |
|
808 | 808 | self.firsttime = True |
|
809 | 809 | self.blockIndex = 0 |
|
810 | 810 | return |
|
811 | 811 | |
|
812 | 812 | def putData(self): |
|
813 | 813 | |
|
814 | 814 | if self.blockIndex == self.blocksPerFile or self.timeFlag(): |
|
815 | 815 | self.setNextFile() |
|
816 | 816 | |
|
817 | 817 | self.readBlock() |
|
818 | 818 | self.setBlock() #Prepare data to be written |
|
819 | 819 | self.writeBlock() #Write data |
|
820 | 820 | |
|
821 | 821 | return |
|
822 | 822 | |
|
823 | 823 | def readBlock(self): |
|
824 | 824 | |
|
825 | 825 | ''' |
|
826 | 826 | data Array configured |
|
827 | 827 | |
|
828 | 828 | |
|
829 | 829 | self.data |
|
830 | 830 | ''' |
|
831 | 831 | dsList = self.dsList |
|
832 | 832 | ds = self.ds |
|
833 | 833 | #Setting HDF5 File |
|
834 | 834 | fp = h5py.File(self.filename,'r+') |
|
835 | 835 | grp = fp["Data"] |
|
836 | 836 | ind = 0 |
|
837 | 837 | |
|
838 | 838 | while ind < len(dsList): |
|
839 | 839 | dsInfo = dsList[ind] |
|
840 | 840 | |
|
841 | 841 | if dsInfo['mode'] == 0: |
|
842 | 842 | ds0 = grp[dsInfo['variable']] |
|
843 | 843 | ds[ind] = ds0 |
|
844 | 844 | ind += 1 |
|
845 | 845 | else: |
|
846 | 846 | |
|
847 | 847 | grp0 = grp[dsInfo['variable']] |
|
848 | 848 | |
|
849 | 849 | for j in range(dsInfo['dsNumber']): |
|
850 | 850 | dsInfo = dsList[ind] |
|
851 | 851 | ds0 = grp0[dsInfo['dsName']] |
|
852 | 852 | ds[ind] = ds0 |
|
853 | 853 | ind += 1 |
|
854 | 854 | |
|
855 | 855 | self.fp = fp |
|
856 | 856 | self.grp = grp |
|
857 | 857 | self.ds = ds |
|
858 | 858 | |
|
859 | 859 | return |
|
860 | 860 | |
|
861 | 861 | def setBlock(self): |
|
862 | 862 | ''' |
|
863 | 863 | data Array configured |
|
864 | 864 | |
|
865 | 865 | |
|
866 | 866 | self.data |
|
867 | 867 | ''' |
|
868 | 868 | #Creating Arrays |
|
869 | 869 | dsList = self.dsList |
|
870 | 870 | data = self.data |
|
871 | 871 | ind = 0 |
|
872 | 872 | |
|
873 | 873 | while ind < len(dsList): |
|
874 | 874 | dsInfo = dsList[ind] |
|
875 | 875 | dataAux = getattr(self.dataOut, dsInfo['variable']) |
|
876 | 876 | |
|
877 | 877 | mode = dsInfo['mode'] |
|
878 | 878 | nDim = dsInfo['nDim'] |
|
879 | 879 | |
|
880 | 880 | if mode == 0 or mode == 2 or nDim == 1: |
|
881 | 881 | data[ind] = dataAux |
|
882 | 882 | ind += 1 |
|
883 | 883 | # elif nDim == 1: |
|
884 | 884 | # data[ind] = numpy.reshape(dataAux,(numpy.size(dataAux),1)) |
|
885 | 885 | # ind += 1 |
|
886 | 886 | elif nDim == 2: |
|
887 | 887 | for j in range(dsInfo['dsNumber']): |
|
888 | 888 | data[ind] = dataAux[j,:] |
|
889 | 889 | ind += 1 |
|
890 | 890 | elif nDim == 3: |
|
891 | 891 | for j in range(dsInfo['dsNumber']): |
|
892 | 892 | data[ind] = dataAux[:,j,:] |
|
893 | 893 | ind += 1 |
|
894 | 894 | |
|
895 | 895 | self.data = data |
|
896 | 896 | return |
|
897 | 897 | |
|
898 | 898 | def writeBlock(self): |
|
899 | 899 | ''' |
|
900 | 900 | Saves the block in the HDF5 file |
|
901 | 901 | ''' |
|
902 | 902 | dsList = self.dsList |
|
903 | 903 | |
|
904 | 904 | for i in range(len(self.ds)): |
|
905 | 905 | dsInfo = dsList[i] |
|
906 | 906 | nDim = dsInfo['nDim'] |
|
907 | 907 | mode = dsInfo['mode'] |
|
908 | 908 | |
|
909 | 909 | # First time |
|
910 | 910 | if self.firsttime: |
|
911 | 911 | if type(self.data[i]) == numpy.ndarray: |
|
912 | 912 | |
|
913 | 913 | if nDim == 3: |
|
914 | 914 | self.data[i] = self.data[i].reshape((self.data[i].shape[0],self.data[i].shape[1],1)) |
|
915 | 915 | self.ds[i].resize(self.data[i].shape) |
|
916 | 916 | if mode == 2: |
|
917 | 917 | self.ds[i].resize(self.data[i].shape) |
|
918 | 918 | self.ds[i][:] = self.data[i] |
|
919 | 919 | else: |
|
920 | 920 | |
|
921 | 921 | # From second time |
|
922 | 922 | # Meteors! |
|
923 | 923 | if mode == 2: |
|
924 | 924 | dataShape = self.data[i].shape |
|
925 | 925 | dsShape = self.ds[i].shape |
|
926 | 926 | self.ds[i].resize((self.ds[i].shape[0] + dataShape[0],self.ds[i].shape[1])) |
|
927 | 927 | self.ds[i][dsShape[0]:,:] = self.data[i] |
|
928 | 928 | # No dimension |
|
929 | 929 | elif mode == 0: |
|
930 | 930 | self.ds[i].resize((self.ds[i].shape[0], self.ds[i].shape[1] + 1)) |
|
931 | 931 | self.ds[i][0,-1] = self.data[i] |
|
932 | 932 | # One dimension |
|
933 | 933 | elif nDim == 1: |
|
934 | 934 | self.ds[i].resize((self.ds[i].shape[0] + 1, self.ds[i].shape[1])) |
|
935 | 935 | self.ds[i][-1,:] = self.data[i] |
|
936 | 936 | # Two dimension |
|
937 | 937 | elif nDim == 2: |
|
938 | 938 | self.ds[i].resize((self.ds[i].shape[0] + 1,self.ds[i].shape[1])) |
|
939 | 939 | self.ds[i][self.blockIndex,:] = self.data[i] |
|
940 | 940 | # Three dimensions |
|
941 | 941 | elif nDim == 3: |
|
942 | 942 | self.ds[i].resize((self.ds[i].shape[0],self.ds[i].shape[1],self.ds[i].shape[2]+1)) |
|
943 | 943 | self.ds[i][:,:,-1] = self.data[i] |
|
944 | 944 | |
|
945 | 945 | self.firsttime = False |
|
946 | 946 | self.blockIndex += 1 |
|
947 | 947 | |
|
948 | 948 | #Close to save changes |
|
949 | 949 | self.fp.flush() |
|
950 | 950 | self.fp.close() |
|
951 | 951 | return |
|
952 | 952 | |
|
953 | 953 | def run(self, dataOut, path, blocksPerFile=10, metadataList=None, dataList=None, mode=None, setType=None): |
|
954 | 954 | |
|
955 | 955 | self.dataOut = dataOut |
|
956 | 956 | if not(self.isConfig): |
|
957 | 957 |
self.setup(dataOut, path=path, blocksPerFile=blocksPerFile, |
|
958 | 958 | metadataList=metadataList, dataList=dataList, mode=mode, |
|
959 | 959 | setType=setType) |
|
960 | 960 | |
|
961 | 961 | self.isConfig = True |
|
962 | 962 | self.setNextFile() |
|
963 | 963 | |
|
964 | 964 | self.putData() |
|
965 | 965 | return |
|
966 | 966 | |
|
967 | 967 | |
|
968 | 968 | @MPDecorator |
|
969 | 969 | class ParameterReader(Reader, ProcessingUnit): |
|
970 | 970 | ''' |
|
971 | 971 | Reads HDF5 format files |
|
972 | 972 | ''' |
|
973 | 973 | |
|
974 | 974 | def __init__(self): |
|
975 | 975 | ProcessingUnit.__init__(self) |
|
976 | 976 | self.dataOut = Parameters() |
|
977 | 977 | self.ext = ".hdf5" |
|
978 | 978 | self.optchar = "D" |
|
979 | 979 | self.timezone = "lt" |
|
980 | 980 | self.listMetaname = [] |
|
981 | 981 | self.listMeta = [] |
|
982 | 982 | self.listDataname = [] |
|
983 | 983 | self.listData = [] |
|
984 | 984 | self.listShapes = [] |
|
985 | 985 | self.open_file = h5py.File |
|
986 | 986 | self.open_mode = 'r' |
|
987 | 987 | self.metadata = False |
|
988 | 988 | self.filefmt = "*%Y%j***" |
|
989 | 989 | self.folderfmt = "*%Y%j" |
|
990 | 990 | |
|
991 | 991 | def setup(self, **kwargs): |
|
992 | 992 | |
|
993 | 993 | self.set_kwargs(**kwargs) |
|
994 | 994 | if not self.ext.startswith('.'): |
|
995 | 995 |
self.ext = '.{}'.format(self.ext) |
|
996 | 996 | |
|
997 | 997 | if self.online: |
|
998 | 998 | log.log("Searching files in online mode...", self.name) |
|
999 | 999 | |
|
1000 | 1000 | for nTries in range(self.nTries): |
|
1001 | 1001 | fullpath = self.searchFilesOnLine(self.path, self.startDate, |
|
1002 | 1002 |
self.endDate, self.expLabel, self.ext, self.walk, |
|
1003 | 1003 | self.filefmt, self.folderfmt) |
|
1004 | 1004 | |
|
1005 | 1005 | try: |
|
1006 | 1006 | fullpath = next(fullpath) |
|
1007 | 1007 | except: |
|
1008 | 1008 | fullpath = None |
|
1009 | 1009 | |
|
1010 | 1010 | if fullpath: |
|
1011 | 1011 | break |
|
1012 | 1012 | |
|
1013 | 1013 | log.warning( |
|
1014 | 1014 | 'Waiting {} sec for a valid file in {}: try {} ...'.format( |
|
1015 | 1015 |
self.delay, self.path, nTries + 1), |
|
1016 | 1016 | self.name) |
|
1017 | 1017 | time.sleep(self.delay) |
|
1018 | 1018 | |
|
1019 | 1019 | if not(fullpath): |
|
1020 | 1020 | raise schainpy.admin.SchainError( |
|
1021 | 1021 |
'There isn\'t any valid file in {}'.format(self.path)) |
|
1022 | 1022 | |
|
1023 | 1023 | pathname, filename = os.path.split(fullpath) |
|
1024 | 1024 | self.year = int(filename[1:5]) |
|
1025 | 1025 | self.doy = int(filename[5:8]) |
|
1026 | 1026 |
self.set = int(filename[8:11]) - 1 |
|
1027 | 1027 | else: |
|
1028 | 1028 | log.log("Searching files in {}".format(self.path), self.name) |
|
1029 | 1029 |
self.filenameList = self.searchFilesOffLine(self.path, self.startDate, |
|
1030 | 1030 | self.endDate, self.expLabel, self.ext, self.walk, self.filefmt, self.folderfmt) |
|
1031 | 1031 | |
|
1032 | 1032 | self.setNextFile() |
|
1033 | 1033 | |
|
1034 | 1034 | return |
|
1035 | 1035 | |
|
1036 | 1036 | def readFirstHeader(self): |
|
1037 | 1037 | '''Read metadata and data''' |
|
1038 | 1038 | |
|
1039 | 1039 |
self.__readMetadata() |
|
1040 | 1040 | self.__readData() |
|
1041 | 1041 | self.__setBlockList() |
|
1042 | 1042 | self.blockIndex = 0 |
|
1043 | 1043 | |
|
1044 | 1044 | return |
|
1045 | 1045 | |
|
1046 | 1046 | def __setBlockList(self): |
|
1047 | 1047 | ''' |
|
1048 | 1048 | Selects the data within the times defined |
|
1049 | 1049 | |
|
1050 | 1050 | self.fp |
|
1051 | 1051 | self.startTime |
|
1052 | 1052 | self.endTime |
|
1053 | 1053 | self.blockList |
|
1054 | 1054 | self.blocksPerFile |
|
1055 | 1055 | |
|
1056 | 1056 | ''' |
|
1057 | 1057 | |
|
1058 | 1058 | startTime = self.startTime |
|
1059 | 1059 | endTime = self.endTime |
|
1060 | 1060 | |
|
1061 | 1061 | index = self.listDataname.index('utctime') |
|
1062 | 1062 | thisUtcTime = self.listData[index] |
|
1063 | 1063 | self.interval = numpy.min(thisUtcTime[1:] - thisUtcTime[:-1]) |
|
1064 | 1064 | |
|
1065 | 1065 | if self.timezone == 'lt': |
|
1066 | 1066 | thisUtcTime -= 5*3600 |
|
1067 | 1067 | |
|
1068 | 1068 | thisDatetime = datetime.datetime.fromtimestamp(thisUtcTime[0] + 5*3600) |
|
1069 | 1069 | |
|
1070 | 1070 | thisDate = thisDatetime.date() |
|
1071 | 1071 | thisTime = thisDatetime.time() |
|
1072 | 1072 | |
|
1073 | 1073 | startUtcTime = (datetime.datetime.combine(thisDate,startTime) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
1074 | 1074 | endUtcTime = (datetime.datetime.combine(thisDate,endTime) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
1075 | 1075 | |
|
1076 | 1076 | ind = numpy.where(numpy.logical_and(thisUtcTime >= startUtcTime, thisUtcTime < endUtcTime))[0] |
|
1077 | 1077 | |
|
1078 | 1078 | self.blockList = ind |
|
1079 | 1079 | self.blocksPerFile = len(ind) |
|
1080 | 1080 | return |
|
1081 | 1081 | |
|
1082 | 1082 | def __readMetadata(self): |
|
1083 | 1083 | ''' |
|
1084 | 1084 | Reads Metadata |
|
1085 | 1085 | ''' |
|
1086 | 1086 | |
|
1087 | 1087 | listMetaname = [] |
|
1088 | 1088 | listMetadata = [] |
|
1089 | 1089 | if 'Metadata' in self.fp: |
|
1090 | 1090 | gp = self.fp['Metadata'] |
|
1091 | 1091 | for item in list(gp.items()): |
|
1092 | 1092 | name = item[0] |
|
1093 | 1093 | |
|
1094 | 1094 | if name=='variables': |
|
1095 | 1095 | table = gp[name][:] |
|
1096 | 1096 | listShapes = {} |
|
1097 | 1097 | for shapes in table: |
|
1098 | 1098 | listShapes[shapes[0].decode()] = numpy.array([shapes[1]]) |
|
1099 | 1099 | else: |
|
1100 | 1100 | data = gp[name].value |
|
1101 | 1101 | listMetaname.append(name) |
|
1102 | 1102 |
listMetadata.append(data) |
|
1103 | 1103 | elif self.metadata: |
|
1104 | 1104 | metadata = json.loads(self.metadata) |
|
1105 | 1105 | listShapes = {} |
|
1106 | 1106 | for tup in metadata: |
|
1107 | 1107 | name, values, dim = tup |
|
1108 | 1108 | if dim == -1: |
|
1109 | 1109 | listMetaname.append(name) |
|
1110 | 1110 | listMetadata.append(self.fp[values].value) |
|
1111 | 1111 | else: |
|
1112 | 1112 | listShapes[name] = numpy.array([dim]) |
|
1113 | 1113 | else: |
|
1114 | 1114 | raise IOError('Missing Metadata group in file or metadata info') |
|
1115 | 1115 | |
|
1116 | 1116 | self.listShapes = listShapes |
|
1117 | 1117 | self.listMetaname = listMetaname |
|
1118 | 1118 |
self.listMeta = listMetadata |
|
1119 | 1119 | |
|
1120 | 1120 | return |
|
1121 | 1121 | |
|
1122 | 1122 | def __readData(self): |
|
1123 | 1123 | |
|
1124 | 1124 | listdataname = [] |
|
1125 | 1125 | listdata = [] |
|
1126 | 1126 | |
|
1127 | 1127 | if 'Data' in self.fp: |
|
1128 | 1128 | grp = self.fp['Data'] |
|
1129 | 1129 | for item in list(grp.items()): |
|
1130 | 1130 | name = item[0] |
|
1131 | 1131 | listdataname.append(name) |
|
1132 | 1132 | dim = self.listShapes[name][0] |
|
1133 | 1133 | if dim == 0: |
|
1134 | 1134 | array = grp[name].value |
|
1135 | 1135 | else: |
|
1136 | 1136 | array = [] |
|
1137 | 1137 | for i in range(dim): |
|
1138 | 1138 | array.append(grp[name]['table{:02d}'.format(i)].value) |
|
1139 | 1139 | array = numpy.array(array) |
|
1140 | 1140 | |
|
1141 | 1141 | listdata.append(array) |
|
1142 | 1142 | elif self.metadata: |
|
1143 | 1143 | metadata = json.loads(self.metadata) |
|
1144 | 1144 | for tup in metadata: |
|
1145 | 1145 | name, values, dim = tup |
|
1146 | 1146 | listdataname.append(name) |
|
1147 | 1147 | if dim == -1: |
|
1148 | 1148 | continue |
|
1149 | 1149 | elif dim == 0: |
|
1150 | 1150 | array = self.fp[values].value |
|
1151 | 1151 | else: |
|
1152 | 1152 | array = [] |
|
1153 | 1153 | for var in values: |
|
1154 | 1154 | array.append(self.fp[var].value) |
|
1155 | 1155 | array = numpy.array(array) |
|
1156 | 1156 | listdata.append(array) |
|
1157 | 1157 | else: |
|
1158 | 1158 | raise IOError('Missing Data group in file or metadata info') |
|
1159 | 1159 | |
|
1160 | 1160 | self.listDataname = listdataname |
|
1161 | 1161 | self.listData = listdata |
|
1162 | 1162 | return |
|
1163 | 1163 | |
|
1164 | 1164 | def getData(self): |
|
1165 | 1165 | |
|
1166 | 1166 | for i in range(len(self.listMeta)): |
|
1167 | 1167 | setattr(self.dataOut, self.listMetaname[i], self.listMeta[i]) |
|
1168 | 1168 | |
|
1169 | 1169 | for j in range(len(self.listData)): |
|
1170 | 1170 | dim = self.listShapes[self.listDataname[j]][0] |
|
1171 | 1171 | if dim == 0: |
|
1172 | 1172 | setattr(self.dataOut, self.listDataname[j], self.listData[j][self.blockIndex]) |
|
1173 | 1173 | else: |
|
1174 | 1174 | setattr(self.dataOut, self.listDataname[j], self.listData[j][:,self.blockIndex]) |
|
1175 | 1175 | |
|
1176 | 1176 | self.dataOut.paramInterval = self.interval |
|
1177 | 1177 | self.dataOut.flagNoData = False |
|
1178 | 1178 | self.blockIndex += 1 |
|
1179 | 1179 | |
|
1180 | 1180 | return |
|
1181 | 1181 | |
|
1182 | 1182 | def run(self, **kwargs): |
|
1183 | 1183 | |
|
1184 | 1184 | if not(self.isConfig): |
|
1185 | 1185 | self.setup(**kwargs) |
|
1186 | 1186 | self.isConfig = True |
|
1187 | 1187 | |
|
1188 | 1188 | if self.blockIndex == self.blocksPerFile: |
|
1189 | 1189 | self.setNextFile() |
|
1190 | 1190 | |
|
1191 | 1191 | self.getData() |
|
1192 | 1192 | |
|
1193 | 1193 | return |
|
1194 | 1194 | |
|
1195 | 1195 | @MPDecorator |
|
1196 | 1196 | class ParameterWriter(Operation): |
|
1197 | 1197 | ''' |
|
1198 | 1198 | HDF5 Writer, stores parameters data in HDF5 format files |
|
1199 | 1199 | |
|
1200 | 1200 | path: path where the files will be stored |
|
1201 | 1201 | blocksPerFile: number of blocks that will be saved in per HDF5 format file |
|
1202 | 1202 | mode: selects the data stacking mode: '0' channels, '1' parameters, '3' table (for meteors) |
|
1203 | 1203 | metadataList: list of attributes that will be stored as metadata |
|
1204 | 1204 | dataList: list of attributes that will be stores as data |
|
1205 | 1205 | ''' |
|
1206 | 1206 | |
|
1207 | 1207 | |
|
1208 | 1208 | ext = ".hdf5" |
|
1209 | 1209 | optchar = "D" |
|
1210 | 1210 | metaoptchar = "M" |
|
1211 | 1211 | metaFile = None |
|
1212 | 1212 | filename = None |
|
1213 | 1213 | path = None |
|
1214 | 1214 | setFile = None |
|
1215 | 1215 | fp = None |
|
1216 | 1216 | grp = None |
|
1217 | 1217 | ds = None |
|
1218 | 1218 | firsttime = True |
|
1219 | 1219 | #Configurations |
|
1220 | 1220 | blocksPerFile = None |
|
1221 | 1221 | blockIndex = None |
|
1222 | 1222 | dataOut = None |
|
1223 | 1223 | #Data Arrays |
|
1224 | 1224 | dataList = None |
|
1225 | 1225 | metadataList = None |
|
1226 | 1226 | dsList = None #List of dictionaries with dataset properties |
|
1227 | 1227 | tableDim = None |
|
1228 | 1228 | dtype = [('name', 'S20'),('nDim', 'i')] |
|
1229 | 1229 | currentDay = None |
|
1230 | 1230 | lastTime = None |
|
1231 | 1231 | |
|
1232 | 1232 | def __init__(self): |
|
1233 | 1233 | |
|
1234 | 1234 | Operation.__init__(self) |
|
1235 | 1235 | return |
|
1236 | 1236 | |
|
1237 | 1237 | def setup(self, path=None, blocksPerFile=10, metadataList=None, dataList=None, setType=None): |
|
1238 | 1238 | self.path = path |
|
1239 | 1239 | self.blocksPerFile = blocksPerFile |
|
1240 | 1240 | self.metadataList = metadataList |
|
1241 | 1241 | self.dataList = dataList |
|
1242 | 1242 | self.setType = setType |
|
1243 | 1243 | |
|
1244 | 1244 | tableList = [] |
|
1245 | 1245 | dsList = [] |
|
1246 | 1246 | |
|
1247 | 1247 | for i in range(len(self.dataList)): |
|
1248 | 1248 | dsDict = {} |
|
1249 | 1249 | dataAux = getattr(self.dataOut, self.dataList[i]) |
|
1250 | 1250 | dsDict['variable'] = self.dataList[i] |
|
1251 | 1251 | |
|
1252 | 1252 | if dataAux is None: |
|
1253 | 1253 | continue |
|
1254 | 1254 | elif isinstance(dataAux, (int, float, numpy.integer, numpy.float)): |
|
1255 | 1255 | dsDict['nDim'] = 0 |
|
1256 | 1256 | else: |
|
1257 | 1257 | dsDict['nDim'] = len(dataAux.shape) |
|
1258 | 1258 | dsDict['shape'] = dataAux.shape |
|
1259 | 1259 | dsDict['dsNumber'] = dataAux.shape[0] |
|
1260 | 1260 | |
|
1261 | 1261 | dsList.append(dsDict) |
|
1262 | 1262 | tableList.append((self.dataList[i], dsDict['nDim'])) |
|
1263 | 1263 | |
|
1264 | 1264 | self.dsList = dsList |
|
1265 | 1265 | self.tableDim = numpy.array(tableList, dtype=self.dtype) |
|
1266 | 1266 | self.currentDay = self.dataOut.datatime.date() |
|
1267 | 1267 | |
|
1268 | 1268 | def timeFlag(self): |
|
1269 | 1269 | currentTime = self.dataOut.utctime |
|
1270 | 1270 | timeTuple = time.localtime(currentTime) |
|
1271 | 1271 | dataDay = timeTuple.tm_yday |
|
1272 | 1272 | |
|
1273 | 1273 | if self.lastTime is None: |
|
1274 | 1274 | self.lastTime = currentTime |
|
1275 | 1275 | self.currentDay = dataDay |
|
1276 | 1276 | return False |
|
1277 | 1277 | |
|
1278 | 1278 | timeDiff = currentTime - self.lastTime |
|
1279 | 1279 | |
|
1280 | 1280 | #Si el dia es diferente o si la diferencia entre un dato y otro supera la hora |
|
1281 | 1281 | if dataDay != self.currentDay: |
|
1282 | 1282 | self.currentDay = dataDay |
|
1283 | 1283 | return True |
|
1284 | 1284 | elif timeDiff > 3*60*60: |
|
1285 | 1285 | self.lastTime = currentTime |
|
1286 | 1286 | return True |
|
1287 | 1287 | else: |
|
1288 | 1288 | self.lastTime = currentTime |
|
1289 | 1289 | return False |
|
1290 | 1290 | |
|
1291 | 1291 | def run(self, dataOut, path, blocksPerFile=10, metadataList=None, dataList=None, setType=None): |
|
1292 | 1292 | |
|
1293 | 1293 | self.dataOut = dataOut |
|
1294 | 1294 | if not(self.isConfig): |
|
1295 | 1295 |
self.setup(path=path, blocksPerFile=blocksPerFile, |
|
1296 | 1296 | metadataList=metadataList, dataList=dataList, |
|
1297 | 1297 | setType=setType) |
|
1298 | 1298 | |
|
1299 | 1299 | self.isConfig = True |
|
1300 | 1300 | self.setNextFile() |
|
1301 | 1301 | |
|
1302 | 1302 | self.putData() |
|
1303 | 1303 | return |
|
1304 | 1304 | |
|
1305 | 1305 | def setNextFile(self): |
|
1306 | 1306 | |
|
1307 | 1307 | ext = self.ext |
|
1308 | 1308 | path = self.path |
|
1309 | 1309 | setFile = self.setFile |
|
1310 | 1310 | |
|
1311 | 1311 | timeTuple = time.localtime(self.dataOut.utctime) |
|
1312 | 1312 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
1313 | 1313 | fullpath = os.path.join(path, subfolder) |
|
1314 | 1314 | |
|
1315 | 1315 | if os.path.exists(fullpath): |
|
1316 | 1316 | filesList = os.listdir(fullpath) |
|
1317 | 1317 | filesList = [k for k in filesList if k.startswith(self.optchar)] |
|
1318 | 1318 | if len( filesList ) > 0: |
|
1319 | 1319 | filesList = sorted(filesList, key=str.lower) |
|
1320 | 1320 | filen = filesList[-1] |
|
1321 | 1321 | # el filename debera tener el siguiente formato |
|
1322 | 1322 | # 0 1234 567 89A BCDE (hex) |
|
1323 | 1323 | # x YYYY DDD SSS .ext |
|
1324 | 1324 | if isNumber(filen[8:11]): |
|
1325 | 1325 | setFile = int(filen[8:11]) #inicializo mi contador de seteo al seteo del ultimo file |
|
1326 | 1326 | else: |
|
1327 | 1327 | setFile = -1 |
|
1328 | 1328 | else: |
|
1329 | 1329 | setFile = -1 #inicializo mi contador de seteo |
|
1330 | 1330 | else: |
|
1331 | 1331 | os.makedirs(fullpath) |
|
1332 | 1332 | setFile = -1 #inicializo mi contador de seteo |
|
1333 | 1333 | |
|
1334 | 1334 | if self.setType is None: |
|
1335 | 1335 | setFile += 1 |
|
1336 | 1336 | file = '%s%4.4d%3.3d%03d%s' % (self.optchar, |
|
1337 | 1337 | timeTuple.tm_year, |
|
1338 | 1338 | timeTuple.tm_yday, |
|
1339 | 1339 | setFile, |
|
1340 | 1340 | ext ) |
|
1341 | 1341 | else: |
|
1342 | 1342 | setFile = timeTuple.tm_hour*60+timeTuple.tm_min |
|
1343 | 1343 | file = '%s%4.4d%3.3d%04d%s' % (self.optchar, |
|
1344 | 1344 | timeTuple.tm_year, |
|
1345 | 1345 | timeTuple.tm_yday, |
|
1346 | 1346 | setFile, |
|
1347 | 1347 | ext ) |
|
1348 | 1348 | |
|
1349 | 1349 | self.filename = os.path.join( path, subfolder, file ) |
|
1350 | 1350 | |
|
1351 | 1351 | #Setting HDF5 File |
|
1352 | 1352 | self.fp = h5py.File(self.filename, 'w') |
|
1353 | 1353 | #write metadata |
|
1354 | 1354 | self.writeMetadata(self.fp) |
|
1355 | 1355 | #Write data |
|
1356 | 1356 | self.writeData(self.fp) |
|
1357 | 1357 | |
|
1358 | 1358 | def writeMetadata(self, fp): |
|
1359 | 1359 | |
|
1360 | 1360 | grp = fp.create_group("Metadata") |
|
1361 | 1361 | grp.create_dataset('variables', data=self.tableDim, dtype=self.dtype) |
|
1362 | 1362 | |
|
1363 | 1363 | for i in range(len(self.metadataList)): |
|
1364 | 1364 | if not hasattr(self.dataOut, self.metadataList[i]): |
|
1365 | 1365 | log.warning('Metadata: `{}` not found'.format(self.metadataList[i]), self.name) |
|
1366 | 1366 | continue |
|
1367 | 1367 | value = getattr(self.dataOut, self.metadataList[i]) |
|
1368 | 1368 | grp.create_dataset(self.metadataList[i], data=value) |
|
1369 | 1369 | return |
|
1370 | 1370 | |
|
1371 | 1371 | def writeData(self, fp): |
|
1372 | 1372 | |
|
1373 | 1373 | grp = fp.create_group("Data") |
|
1374 | 1374 | dtsets = [] |
|
1375 | 1375 | data = [] |
|
1376 | 1376 | |
|
1377 | 1377 | for dsInfo in self.dsList: |
|
1378 | 1378 | if dsInfo['nDim'] == 0: |
|
1379 | 1379 | ds = grp.create_dataset( |
|
1380 | 1380 |
dsInfo['variable'], |
|
1381 | 1381 | (self.blocksPerFile, ), |
|
1382 | 1382 |
chunks=True, |
|
1383 | 1383 | dtype=numpy.float64) |
|
1384 | 1384 | dtsets.append(ds) |
|
1385 | 1385 | data.append((dsInfo['variable'], -1)) |
|
1386 | 1386 | else: |
|
1387 | 1387 | sgrp = grp.create_group(dsInfo['variable']) |
|
1388 | 1388 | for i in range(dsInfo['dsNumber']): |
|
1389 | 1389 | ds = sgrp.create_dataset( |
|
1390 | 1390 |
'table{:02d}'.format(i), |
|
1391 | 1391 | (self.blocksPerFile, ) + dsInfo['shape'][1:], |
|
1392 | 1392 | chunks=True) |
|
1393 | 1393 | dtsets.append(ds) |
|
1394 | 1394 | data.append((dsInfo['variable'], i)) |
|
1395 | 1395 | fp.flush() |
|
1396 | 1396 | |
|
1397 | 1397 | log.log('Creating file: {}'.format(fp.filename), self.name) |
|
1398 | 1398 | |
|
1399 | 1399 | self.ds = dtsets |
|
1400 | 1400 | self.data = data |
|
1401 | 1401 | self.firsttime = True |
|
1402 | 1402 | self.blockIndex = 0 |
|
1403 | 1403 | return |
|
1404 | 1404 | |
|
1405 | 1405 | def putData(self): |
|
1406 | 1406 | |
|
1407 | 1407 | if (self.blockIndex == self.blocksPerFile) or self.timeFlag(): |
|
1408 | 1408 | self.closeFile() |
|
1409 | 1409 | self.setNextFile() |
|
1410 | 1410 | |
|
1411 | 1411 | for i, ds in enumerate(self.ds): |
|
1412 | 1412 | attr, ch = self.data[i] |
|
1413 | 1413 | if ch == -1: |
|
1414 | 1414 | ds[self.blockIndex] = getattr(self.dataOut, attr) |
|
1415 | 1415 | else: |
|
1416 | 1416 | ds[self.blockIndex] = getattr(self.dataOut, attr)[ch] |
|
1417 | 1417 | |
|
1418 | 1418 | self.fp.flush() |
|
1419 | 1419 | self.blockIndex += 1 |
|
1420 | 1420 | log.log('Block No. {}/{}'.format(self.blockIndex, self.blocksPerFile), self.name) |
|
1421 | 1421 | |
|
1422 | 1422 | return |
|
1423 | 1423 | |
|
1424 | 1424 | def closeFile(self): |
|
1425 | 1425 | |
|
1426 | 1426 | if self.blockIndex != self.blocksPerFile: |
|
1427 | 1427 | for ds in self.ds: |
|
1428 | 1428 | ds.resize(self.blockIndex, axis=0) |
|
1429 | 1429 | |
|
1430 | 1430 | self.fp.flush() |
|
1431 | 1431 | self.fp.close() |
|
1432 | 1432 | |
|
1433 | 1433 | def close(self): |
|
1434 | 1434 | |
|
1435 | 1435 | self.closeFile() |
@@ -1,429 +1,426 | |||
|
1 | 1 | ''' |
|
2 | 2 | Updated for multiprocessing |
|
3 | 3 | Author : Sergio Cortez |
|
4 | 4 | Jan 2018 |
|
5 | 5 | Abstract: |
|
6 | 6 | Base class for processing units and operations. A decorator provides multiprocessing features and interconnect the processes created. |
|
7 | 7 |
The argument (kwargs) sent from the controller is parsed and filtered via the decorator for each processing unit or operation instantiated. |
|
8 | 8 |
The decorator handle also the methods inside the processing unit to be called from the main script (not as operations) (OPERATION -> type ='self'). |
|
9 | 9 | |
|
10 | 10 | Based on: |
|
11 | 11 | $Author: murco $ |
|
12 | 12 | $Id: jroproc_base.py 1 2012-11-12 18:56:07Z murco $ |
|
13 | 13 | ''' |
|
14 | 14 | |
|
15 | 15 | import os |
|
16 | 16 | import sys |
|
17 | 17 | import inspect |
|
18 | 18 | import zmq |
|
19 | 19 | import time |
|
20 | 20 | import pickle |
|
21 | 21 | import traceback |
|
22 | 22 | try: |
|
23 | 23 | from queue import Queue |
|
24 | 24 | except: |
|
25 | 25 | from Queue import Queue |
|
26 | 26 | from threading import Thread |
|
27 | 27 | from multiprocessing import Process |
|
28 | 28 | |
|
29 | 29 | from schainpy.utils import log |
|
30 | 30 | |
|
31 | 31 | |
|
32 | 32 | class ProcessingUnit(object): |
|
33 | 33 | |
|
34 | 34 | """ |
|
35 | 35 | Update - Jan 2018 - MULTIPROCESSING |
|
36 | 36 |
All the "call" methods present in the previous base were removed. |
|
37 | 37 | The majority of operations are independant processes, thus |
|
38 | 38 |
the decorator is in charge of communicate the operation processes |
|
39 | 39 | with the proccessing unit via IPC. |
|
40 | 40 | |
|
41 | 41 | The constructor does not receive any argument. The remaining methods |
|
42 | 42 | are related with the operations to execute. |
|
43 | 43 | |
|
44 | 44 | |
|
45 | 45 | """ |
|
46 | 46 | proc_type = 'processing' |
|
47 | 47 | __attrs__ = [] |
|
48 | 48 | |
|
49 | 49 | def __init__(self): |
|
50 | 50 | |
|
51 | 51 | self.dataIn = None |
|
52 | 52 | self.dataOut = None |
|
53 | 53 | self.isConfig = False |
|
54 | 54 | self.operations = [] |
|
55 | 55 | self.plots = [] |
|
56 | 56 | |
|
57 | 57 | def getAllowedArgs(self): |
|
58 | 58 | if hasattr(self, '__attrs__'): |
|
59 | 59 | return self.__attrs__ |
|
60 | 60 | else: |
|
61 | 61 | return inspect.getargspec(self.run).args |
|
62 | 62 | |
|
63 | 63 | def addOperation(self, conf, operation): |
|
64 | 64 | """ |
|
65 | 65 |
This method is used in the controller, and update the dictionary containing the operations to execute. The dict |
|
66 | 66 | posses the id of the operation process (IPC purposes) |
|
67 | 67 | |
|
68 | 68 | Agrega un objeto del tipo "Operation" (opObj) a la lista de objetos "self.objectList" y retorna el |
|
69 | 69 | identificador asociado a este objeto. |
|
70 | 70 | |
|
71 | 71 | Input: |
|
72 | 72 | |
|
73 | 73 | object : objeto de la clase "Operation" |
|
74 | 74 | |
|
75 | 75 | Return: |
|
76 | 76 | |
|
77 | 77 | objId : identificador del objeto, necesario para comunicar con master(procUnit) |
|
78 | 78 | """ |
|
79 | 79 | |
|
80 | 80 | self.operations.append( |
|
81 | 81 | (operation, conf.type, conf.id, conf.getKwargs())) |
|
82 | 82 | |
|
83 | 83 | if 'plot' in self.name.lower(): |
|
84 | 84 | self.plots.append(operation.CODE) |
|
85 | 85 | |
|
86 | 86 | def getOperationObj(self, objId): |
|
87 | 87 | |
|
88 | 88 | if objId not in list(self.operations.keys()): |
|
89 | 89 | return None |
|
90 | 90 | |
|
91 | 91 | return self.operations[objId] |
|
92 | 92 | |
|
93 | 93 | def operation(self, **kwargs): |
|
94 | 94 | """ |
|
95 | 95 | Operacion directa sobre la data (dataOut.data). Es necesario actualizar los valores de los |
|
96 | 96 | atributos del objeto dataOut |
|
97 | 97 | |
|
98 | 98 | Input: |
|
99 | 99 | |
|
100 | 100 | **kwargs : Diccionario de argumentos de la funcion a ejecutar |
|
101 | 101 | """ |
|
102 | 102 | |
|
103 | 103 | raise NotImplementedError |
|
104 | 104 | |
|
105 | 105 | def setup(self): |
|
106 | 106 | |
|
107 | 107 | raise NotImplementedError |
|
108 | 108 | |
|
109 | 109 | def run(self): |
|
110 | 110 | |
|
111 | 111 | raise NotImplementedError |
|
112 | 112 | |
|
113 | 113 | def close(self): |
|
114 | 114 | |
|
115 | 115 | return |
|
116 | 116 | |
|
117 | 117 | |
|
118 | 118 | class Operation(object): |
|
119 | 119 | |
|
120 | 120 | """ |
|
121 | 121 | Update - Jan 2018 - MULTIPROCESSING |
|
122 | 122 | |
|
123 | 123 | Most of the methods remained the same. The decorator parse the arguments and executed the run() method for each process. |
|
124 | 124 | The constructor doe snot receive any argument, neither the baseclass. |
|
125 | 125 | |
|
126 | 126 | |
|
127 | 127 | Clase base para definir las operaciones adicionales que se pueden agregar a la clase ProcessingUnit |
|
128 | 128 | y necesiten acumular informacion previa de los datos a procesar. De preferencia usar un buffer de |
|
129 | 129 | acumulacion dentro de esta clase |
|
130 | 130 | |
|
131 | 131 | Ejemplo: Integraciones coherentes, necesita la informacion previa de los n perfiles anteriores (bufffer) |
|
132 | 132 | |
|
133 | 133 | """ |
|
134 | 134 | proc_type = 'operation' |
|
135 | 135 | __attrs__ = [] |
|
136 | 136 | |
|
137 | 137 | def __init__(self): |
|
138 | 138 | |
|
139 | 139 | self.id = None |
|
140 | 140 | self.isConfig = False |
|
141 | 141 | |
|
142 | 142 | if not hasattr(self, 'name'): |
|
143 | 143 | self.name = self.__class__.__name__ |
|
144 | 144 | |
|
145 | 145 | def getAllowedArgs(self): |
|
146 | 146 | if hasattr(self, '__attrs__'): |
|
147 | 147 | return self.__attrs__ |
|
148 | 148 | else: |
|
149 | 149 | return inspect.getargspec(self.run).args |
|
150 | 150 | |
|
151 | 151 | def setup(self): |
|
152 | 152 | |
|
153 | 153 | self.isConfig = True |
|
154 | 154 | |
|
155 | 155 | raise NotImplementedError |
|
156 | 156 | |
|
157 | 157 | def run(self, dataIn, **kwargs): |
|
158 | 158 | """ |
|
159 | 159 | Realiza las operaciones necesarias sobre la dataIn.data y actualiza los |
|
160 | 160 | atributos del objeto dataIn. |
|
161 | 161 | |
|
162 | 162 | Input: |
|
163 | 163 | |
|
164 | 164 | dataIn : objeto del tipo JROData |
|
165 | 165 | |
|
166 | 166 | Return: |
|
167 | 167 | |
|
168 | 168 | None |
|
169 | 169 | |
|
170 | 170 | Affected: |
|
171 | 171 | __buffer : buffer de recepcion de datos. |
|
172 | 172 | |
|
173 | 173 | """ |
|
174 | 174 | if not self.isConfig: |
|
175 | 175 | self.setup(**kwargs) |
|
176 | 176 | |
|
177 | 177 | raise NotImplementedError |
|
178 | 178 | |
|
179 | 179 | def close(self): |
|
180 | 180 | |
|
181 | 181 | return |
|
182 | 182 | |
|
183 | 183 | class InputQueue(Thread): |
|
184 | 184 | |
|
185 | 185 | ''' |
|
186 | 186 | Class to hold input data for Proccessing Units and external Operations, |
|
187 | 187 | ''' |
|
188 | 188 | |
|
189 | 189 | def __init__(self, project_id, inputId, lock=None): |
|
190 | 190 | |
|
191 | 191 | Thread.__init__(self) |
|
192 | 192 | self.queue = Queue() |
|
193 | 193 | self.project_id = project_id |
|
194 | 194 | self.inputId = inputId |
|
195 | 195 | self.lock = lock |
|
196 | 196 | self.islocked = False |
|
197 | 197 | self.size = 0 |
|
198 | 198 | |
|
199 | 199 | def run(self): |
|
200 | 200 | |
|
201 | 201 | c = zmq.Context() |
|
202 | 202 | self.receiver = c.socket(zmq.SUB) |
|
203 | 203 | self.receiver.connect( |
|
204 | 204 | 'ipc:///tmp/schain/{}_pub'.format(self.project_id)) |
|
205 | 205 | self.receiver.setsockopt(zmq.SUBSCRIBE, self.inputId.encode()) |
|
206 | 206 | |
|
207 | 207 | while True: |
|
208 | 208 | obj = self.receiver.recv_multipart()[1] |
|
209 | 209 | self.size += sys.getsizeof(obj) |
|
210 | 210 | self.queue.put(obj) |
|
211 | 211 | |
|
212 | 212 | def get(self): |
|
213 | 213 | |
|
214 | 214 | if not self.islocked and self.size/1000000 > 512: |
|
215 | 215 |
self.lock.n.value += 1 |
|
216 | 216 | self.islocked = True |
|
217 | 217 | self.lock.clear() |
|
218 | 218 | elif self.islocked and self.size/1000000 <= 512: |
|
219 | 219 | self.islocked = False |
|
220 | 220 | self.lock.n.value -= 1 |
|
221 | 221 | if self.lock.n.value == 0: |
|
222 | 222 |
self.lock.set() |
|
223 | 223 | |
|
224 | 224 | obj = self.queue.get() |
|
225 | 225 | self.size -= sys.getsizeof(obj) |
|
226 | 226 | return pickle.loads(obj) |
|
227 | 227 | |
|
228 | 228 | |
|
229 | 229 | def MPDecorator(BaseClass): |
|
230 | 230 | """ |
|
231 | 231 | Multiprocessing class decorator |
|
232 | 232 | |
|
233 | 233 | This function add multiprocessing features to a BaseClass. Also, it handle |
|
234 | 234 |
the communication beetween processes (readers, procUnits and operations). |
|
235 | 235 | """ |
|
236 | 236 | |
|
237 | 237 | class MPClass(BaseClass, Process): |
|
238 | 238 | |
|
239 | 239 | def __init__(self, *args, **kwargs): |
|
240 | 240 | super(MPClass, self).__init__() |
|
241 | 241 | Process.__init__(self) |
|
242 | 242 | self.operationKwargs = {} |
|
243 | 243 | self.args = args |
|
244 | 244 | self.kwargs = kwargs |
|
245 | 245 | self.sender = None |
|
246 | 246 | self.receiver = None |
|
247 | 247 | self.i = 0 |
|
248 | 248 | self.t = time.time() |
|
249 | 249 | self.name = BaseClass.__name__ |
|
250 | 250 | self.__doc__ = BaseClass.__doc__ |
|
251 | 251 | |
|
252 | 252 | if 'plot' in self.name.lower() and not self.name.endswith('_'): |
|
253 | 253 | self.name = '{}{}'.format(self.CODE.upper(), 'Plot') |
|
254 | 254 | |
|
255 | 255 |
self.start_time = time.time() |
|
256 | 256 | self.id = args[0] |
|
257 | 257 | self.inputId = args[1] |
|
258 | 258 | self.project_id = args[2] |
|
259 | 259 | self.err_queue = args[3] |
|
260 | 260 | self.lock = args[4] |
|
261 | 261 | self.typeProc = args[5] |
|
262 | 262 | self.err_queue.put('#_start_#') |
|
263 | 263 | if self.inputId is not None: |
|
264 | 264 | self.queue = InputQueue(self.project_id, self.inputId, self.lock) |
|
265 | 265 | |
|
266 | 266 | def subscribe(self): |
|
267 | 267 | ''' |
|
268 | 268 | Start the zmq socket receiver and subcribe to input ID. |
|
269 | 269 | ''' |
|
270 | 270 | |
|
271 | 271 | self.queue.start() |
|
272 | 272 | |
|
273 | 273 | def listen(self): |
|
274 | 274 | ''' |
|
275 | 275 | This function waits for objects |
|
276 | 276 | ''' |
|
277 | 277 | |
|
278 | 278 |
return self.queue.get() |
|
279 | 279 | |
|
280 | 280 | def set_publisher(self): |
|
281 | 281 | ''' |
|
282 | 282 |
This function create a zmq socket for publishing objects. |
|
283 | 283 | ''' |
|
284 | 284 | |
|
285 | 285 | time.sleep(0.5) |
|
286 | 286 | |
|
287 | 287 | c = zmq.Context() |
|
288 | 288 | self.sender = c.socket(zmq.PUB) |
|
289 | 289 | self.sender.connect( |
|
290 | 290 | 'ipc:///tmp/schain/{}_sub'.format(self.project_id)) |
|
291 | 291 | |
|
292 | 292 | def publish(self, data, id): |
|
293 | 293 | ''' |
|
294 | 294 | This function publish an object, to an specific topic. |
|
295 | 295 | It blocks publishing when receiver queue is full to avoid data loss |
|
296 | 296 |
''' |
|
297 | 297 | |
|
298 | 298 | if self.inputId is None: |
|
299 | 299 | self.lock.wait() |
|
300 | 300 | self.sender.send_multipart([str(id).encode(), pickle.dumps(data)]) |
|
301 | ||
|
302 | 301 | def runReader(self): |
|
303 | 302 | ''' |
|
304 | 303 | Run fuction for read units |
|
305 | 304 | ''' |
|
306 | 305 | while True: |
|
307 | 306 | |
|
308 | 307 | try: |
|
309 | 308 | BaseClass.run(self, **self.kwargs) |
|
310 | 309 | except: |
|
311 | 310 |
err = traceback.format_exc() |
|
312 | 311 | if 'No more files' in err: |
|
313 | 312 | log.warning('No more files to read', self.name) |
|
314 | 313 | else: |
|
315 | 314 | self.err_queue.put('{}|{}'.format(self.name, err)) |
|
316 | 315 |
self.dataOut.error = True |
|
317 | 316 | |
|
318 | 317 | for op, optype, opId, kwargs in self.operations: |
|
319 | 318 | if optype == 'self' and not self.dataOut.flagNoData: |
|
320 | 319 | op(**kwargs) |
|
321 | 320 | elif optype == 'other' and not self.dataOut.flagNoData: |
|
322 | 321 | self.dataOut = op.run(self.dataOut, **self.kwargs) |
|
323 | 322 | elif optype == 'external': |
|
324 | 323 | self.publish(self.dataOut, opId) |
|
325 | 324 | |
|
326 | 325 | if self.dataOut.flagNoData and not self.dataOut.error: |
|
327 | 326 | continue |
|
328 | 327 | |
|
329 | 328 | self.publish(self.dataOut, self.id) |
|
330 | ||
|
331 | 329 |
if self.dataOut.error: |
|
332 | 330 | break |
|
333 | 331 | |
|
334 | 332 | time.sleep(0.5) |
|
335 | 333 | |
|
336 | 334 | def runProc(self): |
|
337 | 335 | ''' |
|
338 | 336 | Run function for proccessing units |
|
339 | 337 | ''' |
|
340 | 338 | |
|
341 | 339 | while True: |
|
342 | 340 |
self.dataIn = self.listen() |
|
343 | 341 | |
|
344 | 342 | if self.dataIn.flagNoData and self.dataIn.error is None: |
|
345 | 343 | continue |
|
346 | 344 | elif not self.dataIn.error: |
|
347 | 345 | try: |
|
348 | 346 | BaseClass.run(self, **self.kwargs) |
|
349 | 347 | except: |
|
350 | 348 | self.err_queue.put('{}|{}'.format(self.name, traceback.format_exc())) |
|
351 | 349 | self.dataOut.error = True |
|
352 | 350 | elif self.dataIn.error: |
|
353 | 351 | self.dataOut.error = self.dataIn.error |
|
354 | 352 | self.dataOut.flagNoData = True |
|
355 | 353 | |
|
356 | 354 | for op, optype, opId, kwargs in self.operations: |
|
357 | 355 | if optype == 'self' and not self.dataOut.flagNoData: |
|
358 | 356 | op(**kwargs) |
|
359 | 357 | elif optype == 'other' and not self.dataOut.flagNoData: |
|
360 | 358 | self.dataOut = op.run(self.dataOut, **kwargs) |
|
361 | 359 |
elif optype == 'external' and not self.dataOut.flagNoData: |
|
362 | 360 | self.publish(self.dataOut, opId) |
|
363 | 361 | |
|
364 | 362 | self.publish(self.dataOut, self.id) |
|
365 | 363 | for op, optype, opId, kwargs in self.operations: |
|
366 | 364 |
if optype == 'external' and self.dataOut.error: |
|
367 | 365 | self.publish(self.dataOut, opId) |
|
368 | 366 | |
|
369 | 367 | if self.dataOut.error: |
|
370 | 368 | break |
|
371 | 369 | |
|
372 | 370 | time.sleep(0.5) |
|
373 | 371 | |
|
374 | 372 | def runOp(self): |
|
375 | 373 | ''' |
|
376 | 374 | Run function for external operations (this operations just receive data |
|
377 | 375 | ex: plots, writers, publishers) |
|
378 | 376 | ''' |
|
379 | 377 | |
|
380 | 378 | while True: |
|
381 | 379 | |
|
382 | 380 | dataOut = self.listen() |
|
383 | 381 | |
|
384 | 382 | if not dataOut.error: |
|
385 | 383 | try: |
|
386 | 384 | BaseClass.run(self, dataOut, **self.kwargs) |
|
387 | 385 | except: |
|
388 | 386 | self.err_queue.put('{}|{}'.format(self.name, traceback.format_exc())) |
|
389 | 387 | dataOut.error = True |
|
390 | 388 | else: |
|
391 | 389 |
break |
|
392 | 390 | |
|
393 | 391 | def run(self): |
|
394 | 392 | if self.typeProc is "ProcUnit": |
|
395 | 393 | |
|
396 | 394 | if self.inputId is not None: |
|
397 | 395 | self.subscribe() |
|
398 | 396 | |
|
399 | 397 | self.set_publisher() |
|
400 | 398 | |
|
401 | 399 | if 'Reader' not in BaseClass.__name__: |
|
402 | 400 | self.runProc() |
|
403 | 401 | else: |
|
404 | 402 | self.runReader() |
|
405 | ||
|
406 | 403 | elif self.typeProc is "Operation": |
|
407 | 404 | |
|
408 | 405 | self.subscribe() |
|
409 | 406 | self.runOp() |
|
410 | 407 | |
|
411 | 408 | else: |
|
412 | 409 | raise ValueError("Unknown type") |
|
413 | 410 | |
|
414 | 411 | self.close() |
|
415 | 412 | |
|
416 | 413 | def close(self): |
|
417 | 414 | |
|
418 | 415 | BaseClass.close(self) |
|
419 | 416 | self.err_queue.put('#_end_#') |
|
420 | 417 | |
|
421 | 418 | if self.sender: |
|
422 | 419 | self.sender.close() |
|
423 | 420 | |
|
424 | 421 | if self.receiver: |
|
425 | 422 | self.receiver.close() |
|
426 | 423 | |
|
427 | 424 | log.success('Done...(Time:{:4.2f} secs)'.format(time.time()-self.start_time), self.name) |
|
428 | 425 | |
|
429 | 426 | return MPClass |
|
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@@ -1,1328 +1,1327 | |||
|
1 | 1 | import sys |
|
2 | 2 | import numpy |
|
3 | 3 | from scipy import interpolate |
|
4 | 4 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
5 | 5 | from schainpy.model.data.jrodata import Voltage |
|
6 | 6 | from schainpy.utils import log |
|
7 | 7 | from time import time |
|
8 | 8 | |
|
9 | 9 | |
|
10 | 10 | @MPDecorator |
|
11 | 11 |
class VoltageProc(ProcessingUnit): |
|
12 | 12 | |
|
13 | 13 | def __init__(self): |
|
14 | 14 | |
|
15 | 15 | ProcessingUnit.__init__(self) |
|
16 | 16 | |
|
17 | 17 | self.dataOut = Voltage() |
|
18 | 18 | self.flip = 1 |
|
19 | 19 | self.setupReq = False |
|
20 | 20 | |
|
21 | 21 | def run(self): |
|
22 | 22 | |
|
23 | 23 | if self.dataIn.type == 'AMISR': |
|
24 | 24 | self.__updateObjFromAmisrInput() |
|
25 | 25 | |
|
26 | 26 | if self.dataIn.type == 'Voltage': |
|
27 | 27 | self.dataOut.copy(self.dataIn) |
|
28 | 28 | |
|
29 | 29 | # self.dataOut.copy(self.dataIn) |
|
30 | 30 | |
|
31 | 31 | def __updateObjFromAmisrInput(self): |
|
32 | 32 | |
|
33 | 33 | self.dataOut.timeZone = self.dataIn.timeZone |
|
34 | 34 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
35 | 35 | self.dataOut.errorCount = self.dataIn.errorCount |
|
36 | 36 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
37 | 37 | |
|
38 | 38 | self.dataOut.flagNoData = self.dataIn.flagNoData |
|
39 | 39 | self.dataOut.data = self.dataIn.data |
|
40 | 40 | self.dataOut.utctime = self.dataIn.utctime |
|
41 | 41 | self.dataOut.channelList = self.dataIn.channelList |
|
42 | 42 | #self.dataOut.timeInterval = self.dataIn.timeInterval |
|
43 | 43 | self.dataOut.heightList = self.dataIn.heightList |
|
44 | 44 | self.dataOut.nProfiles = self.dataIn.nProfiles |
|
45 | 45 | |
|
46 | 46 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
47 | 47 | self.dataOut.ippSeconds = self.dataIn.ippSeconds |
|
48 | 48 | self.dataOut.frequency = self.dataIn.frequency |
|
49 | 49 | |
|
50 | 50 | self.dataOut.azimuth = self.dataIn.azimuth |
|
51 | 51 | self.dataOut.zenith = self.dataIn.zenith |
|
52 | 52 | |
|
53 | 53 | self.dataOut.beam.codeList = self.dataIn.beam.codeList |
|
54 | 54 | self.dataOut.beam.azimuthList = self.dataIn.beam.azimuthList |
|
55 | 55 | self.dataOut.beam.zenithList = self.dataIn.beam.zenithList |
|
56 | 56 | # |
|
57 | 57 | # pass# |
|
58 | 58 | # |
|
59 | 59 | # def init(self): |
|
60 | 60 | # |
|
61 | 61 | # |
|
62 | 62 | # if self.dataIn.type == 'AMISR': |
|
63 | 63 | # self.__updateObjFromAmisrInput() |
|
64 | 64 | # |
|
65 | 65 | # if self.dataIn.type == 'Voltage': |
|
66 | 66 | # self.dataOut.copy(self.dataIn) |
|
67 | 67 | # # No necesita copiar en cada init() los atributos de dataIn |
|
68 | 68 | # # la copia deberia hacerse por cada nuevo bloque de datos |
|
69 | 69 | |
|
70 | 70 | def selectChannels(self, channelList): |
|
71 | 71 | |
|
72 | 72 | channelIndexList = [] |
|
73 | 73 | |
|
74 | 74 | for channel in channelList: |
|
75 | 75 | if channel not in self.dataOut.channelList: |
|
76 | 76 | raise ValueError("Channel %d is not in %s" %(channel, str(self.dataOut.channelList))) |
|
77 | 77 | |
|
78 | 78 | index = self.dataOut.channelList.index(channel) |
|
79 | 79 | channelIndexList.append(index) |
|
80 | 80 | |
|
81 | 81 | self.selectChannelsByIndex(channelIndexList) |
|
82 | 82 | |
|
83 | 83 | def selectChannelsByIndex(self, channelIndexList): |
|
84 | 84 | """ |
|
85 | 85 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
86 | 86 | |
|
87 | 87 | Input: |
|
88 | 88 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
89 | 89 | |
|
90 | 90 | Affected: |
|
91 | 91 | self.dataOut.data |
|
92 | 92 | self.dataOut.channelIndexList |
|
93 | 93 | self.dataOut.nChannels |
|
94 | 94 | self.dataOut.m_ProcessingHeader.totalSpectra |
|
95 | 95 | self.dataOut.systemHeaderObj.numChannels |
|
96 | 96 | self.dataOut.m_ProcessingHeader.blockSize |
|
97 | 97 | |
|
98 | 98 | Return: |
|
99 | 99 | None |
|
100 | 100 | """ |
|
101 | 101 | |
|
102 | 102 | for channelIndex in channelIndexList: |
|
103 | 103 | if channelIndex not in self.dataOut.channelIndexList: |
|
104 | 104 | print(channelIndexList) |
|
105 | 105 | raise ValueError("The value %d in channelIndexList is not valid" %channelIndex) |
|
106 | 106 | |
|
107 | 107 | if self.dataOut.flagDataAsBlock: |
|
108 | 108 | """ |
|
109 | 109 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
110 | 110 | """ |
|
111 | 111 | data = self.dataOut.data[channelIndexList,:,:] |
|
112 | 112 | else: |
|
113 | 113 | data = self.dataOut.data[channelIndexList,:] |
|
114 | 114 | |
|
115 | 115 | self.dataOut.data = data |
|
116 | 116 | # self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
117 | 117 | self.dataOut.channelList = range(len(channelIndexList)) |
|
118 | 118 | |
|
119 | 119 | return 1 |
|
120 | 120 | |
|
121 | 121 | def selectHeights(self, minHei=None, maxHei=None): |
|
122 | 122 | """ |
|
123 | 123 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
124 | 124 | minHei <= height <= maxHei |
|
125 | 125 | |
|
126 | 126 | Input: |
|
127 | 127 | minHei : valor minimo de altura a considerar |
|
128 | 128 | maxHei : valor maximo de altura a considerar |
|
129 | 129 | |
|
130 | 130 | Affected: |
|
131 | 131 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
132 | 132 | |
|
133 | 133 | Return: |
|
134 | 134 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
135 | 135 | """ |
|
136 | 136 | |
|
137 | 137 | if minHei == None: |
|
138 | 138 | minHei = self.dataOut.heightList[0] |
|
139 | 139 | |
|
140 | 140 | if maxHei == None: |
|
141 | 141 | maxHei = self.dataOut.heightList[-1] |
|
142 | 142 | |
|
143 | 143 | if (minHei < self.dataOut.heightList[0]): |
|
144 | 144 | minHei = self.dataOut.heightList[0] |
|
145 | 145 | |
|
146 | 146 | if (maxHei > self.dataOut.heightList[-1]): |
|
147 | 147 | maxHei = self.dataOut.heightList[-1] |
|
148 | 148 | |
|
149 | 149 | minIndex = 0 |
|
150 | 150 | maxIndex = 0 |
|
151 | 151 | heights = self.dataOut.heightList |
|
152 | 152 | |
|
153 | 153 | inda = numpy.where(heights >= minHei) |
|
154 | 154 | indb = numpy.where(heights <= maxHei) |
|
155 | 155 | |
|
156 | 156 | try: |
|
157 | 157 | minIndex = inda[0][0] |
|
158 | 158 | except: |
|
159 | 159 | minIndex = 0 |
|
160 | 160 | |
|
161 | 161 | try: |
|
162 | 162 | maxIndex = indb[0][-1] |
|
163 | 163 | except: |
|
164 | 164 | maxIndex = len(heights) |
|
165 | 165 | |
|
166 | 166 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
167 | 167 | |
|
168 | 168 | return 1 |
|
169 | 169 | |
|
170 | 170 | |
|
171 | 171 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
172 | 172 | """ |
|
173 | 173 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
174 | 174 | minIndex <= index <= maxIndex |
|
175 | 175 | |
|
176 | 176 | Input: |
|
177 | 177 | minIndex : valor de indice minimo de altura a considerar |
|
178 | 178 | maxIndex : valor de indice maximo de altura a considerar |
|
179 | 179 | |
|
180 | 180 | Affected: |
|
181 | 181 | self.dataOut.data |
|
182 | 182 | self.dataOut.heightList |
|
183 | 183 | |
|
184 | 184 | Return: |
|
185 | 185 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
186 | 186 | """ |
|
187 | 187 | |
|
188 | 188 | if (minIndex < 0) or (minIndex > maxIndex): |
|
189 | 189 | raise ValueError("Height index range (%d,%d) is not valid" % (minIndex, maxIndex)) |
|
190 | 190 | |
|
191 | 191 | if (maxIndex >= self.dataOut.nHeights): |
|
192 | 192 | maxIndex = self.dataOut.nHeights |
|
193 | 193 | |
|
194 | 194 | #voltage |
|
195 | 195 | if self.dataOut.flagDataAsBlock: |
|
196 | 196 | """ |
|
197 | 197 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
198 | 198 | """ |
|
199 | 199 | data = self.dataOut.data[:,:, minIndex:maxIndex] |
|
200 | 200 | else: |
|
201 | 201 | data = self.dataOut.data[:, minIndex:maxIndex] |
|
202 | 202 | |
|
203 | 203 | # firstHeight = self.dataOut.heightList[minIndex] |
|
204 | 204 | |
|
205 | 205 | self.dataOut.data = data |
|
206 | 206 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex] |
|
207 | 207 | |
|
208 | 208 | if self.dataOut.nHeights <= 1: |
|
209 | 209 | raise ValueError("selectHeights: Too few heights. Current number of heights is %d" %(self.dataOut.nHeights)) |
|
210 | 210 | |
|
211 | 211 | return 1 |
|
212 | 212 | |
|
213 | 213 | |
|
214 | 214 | def filterByHeights(self, window): |
|
215 | 215 | |
|
216 | 216 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
217 | 217 | |
|
218 | 218 | if window == None: |
|
219 | 219 | window = (self.dataOut.radarControllerHeaderObj.txA/self.dataOut.radarControllerHeaderObj.nBaud) / deltaHeight |
|
220 | 220 | |
|
221 | 221 | newdelta = deltaHeight * window |
|
222 | 222 | r = self.dataOut.nHeights % window |
|
223 | 223 | newheights = (self.dataOut.nHeights-r)/window |
|
224 | 224 | |
|
225 | 225 | if newheights <= 1: |
|
226 | 226 | raise ValueError("filterByHeights: Too few heights. Current number of heights is %d and window is %d" %(self.dataOut.nHeights, window)) |
|
227 | 227 | |
|
228 | 228 | if self.dataOut.flagDataAsBlock: |
|
229 | 229 | """ |
|
230 | 230 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
231 | 231 | """ |
|
232 | 232 |
buffer = self.dataOut.data[:, :, 0:int(self.dataOut.nHeights-r)] |
|
233 | 233 | buffer = buffer.reshape(self.dataOut.nChannels, self.dataOut.nProfiles, int(self.dataOut.nHeights/window), window) |
|
234 | 234 | buffer = numpy.sum(buffer,3) |
|
235 | 235 | |
|
236 | 236 | else: |
|
237 | 237 | buffer = self.dataOut.data[:,0:int(self.dataOut.nHeights-r)] |
|
238 | 238 | buffer = buffer.reshape(self.dataOut.nChannels,int(self.dataOut.nHeights/window),int(window)) |
|
239 | 239 | buffer = numpy.sum(buffer,2) |
|
240 | 240 | |
|
241 | 241 | self.dataOut.data = buffer |
|
242 | 242 | self.dataOut.heightList = self.dataOut.heightList[0] + numpy.arange( newheights )*newdelta |
|
243 | 243 | self.dataOut.windowOfFilter = window |
|
244 | 244 | |
|
245 | 245 | def setH0(self, h0, deltaHeight = None): |
|
246 | 246 | |
|
247 | 247 | if not deltaHeight: |
|
248 | 248 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
249 | 249 | |
|
250 | 250 | nHeights = self.dataOut.nHeights |
|
251 | 251 | |
|
252 | 252 | newHeiRange = h0 + numpy.arange(nHeights)*deltaHeight |
|
253 | 253 | |
|
254 | 254 | self.dataOut.heightList = newHeiRange |
|
255 | 255 | |
|
256 | 256 | def deFlip(self, channelList = []): |
|
257 | 257 | |
|
258 | 258 | data = self.dataOut.data.copy() |
|
259 | 259 | |
|
260 | 260 | if self.dataOut.flagDataAsBlock: |
|
261 | 261 | flip = self.flip |
|
262 | 262 | profileList = list(range(self.dataOut.nProfiles)) |
|
263 | 263 | |
|
264 | 264 | if not channelList: |
|
265 | 265 | for thisProfile in profileList: |
|
266 | 266 | data[:,thisProfile,:] = data[:,thisProfile,:]*flip |
|
267 | 267 | flip *= -1.0 |
|
268 | 268 | else: |
|
269 | 269 | for thisChannel in channelList: |
|
270 | 270 | if thisChannel not in self.dataOut.channelList: |
|
271 | 271 | continue |
|
272 | 272 | |
|
273 | 273 | for thisProfile in profileList: |
|
274 | 274 | data[thisChannel,thisProfile,:] = data[thisChannel,thisProfile,:]*flip |
|
275 | 275 | flip *= -1.0 |
|
276 | 276 | |
|
277 | 277 | self.flip = flip |
|
278 | 278 | |
|
279 | 279 | else: |
|
280 | 280 | if not channelList: |
|
281 | 281 | data[:,:] = data[:,:]*self.flip |
|
282 | 282 | else: |
|
283 | 283 | for thisChannel in channelList: |
|
284 | 284 | if thisChannel not in self.dataOut.channelList: |
|
285 | 285 | continue |
|
286 | 286 | |
|
287 | 287 | data[thisChannel,:] = data[thisChannel,:]*self.flip |
|
288 | 288 | |
|
289 | 289 | self.flip *= -1. |
|
290 | 290 | |
|
291 | 291 | self.dataOut.data = data |
|
292 | 292 | |
|
293 | 293 | def setRadarFrequency(self, frequency=None): |
|
294 | 294 | |
|
295 | 295 | if frequency != None: |
|
296 | 296 | self.dataOut.frequency = frequency |
|
297 | 297 | |
|
298 | 298 | return 1 |
|
299 | 299 | |
|
300 | 300 | def interpolateHeights(self, topLim, botLim): |
|
301 | 301 | #69 al 72 para julia |
|
302 | 302 | #82-84 para meteoros |
|
303 | 303 | if len(numpy.shape(self.dataOut.data))==2: |
|
304 | 304 | sampInterp = (self.dataOut.data[:,botLim-1] + self.dataOut.data[:,topLim+1])/2 |
|
305 | 305 | sampInterp = numpy.transpose(numpy.tile(sampInterp,(topLim-botLim + 1,1))) |
|
306 | 306 | #self.dataOut.data[:,botLim:limSup+1] = sampInterp |
|
307 | 307 | self.dataOut.data[:,botLim:topLim+1] = sampInterp |
|
308 | 308 | else: |
|
309 | 309 | nHeights = self.dataOut.data.shape[2] |
|
310 | 310 | x = numpy.hstack((numpy.arange(botLim),numpy.arange(topLim+1,nHeights))) |
|
311 | 311 | y = self.dataOut.data[:,:,list(range(botLim))+list(range(topLim+1,nHeights))] |
|
312 | 312 | f = interpolate.interp1d(x, y, axis = 2) |
|
313 | 313 | xnew = numpy.arange(botLim,topLim+1) |
|
314 | 314 | ynew = f(xnew) |
|
315 | 315 | |
|
316 | 316 | self.dataOut.data[:,:,botLim:topLim+1] = ynew |
|
317 | 317 | |
|
318 | 318 | # import collections |
|
319 | 319 | |
|
320 | 320 | class CohInt(Operation): |
|
321 | 321 | |
|
322 | 322 | isConfig = False |
|
323 | 323 | __profIndex = 0 |
|
324 | 324 | __byTime = False |
|
325 | 325 | __initime = None |
|
326 | 326 | __lastdatatime = None |
|
327 | 327 | __integrationtime = None |
|
328 | 328 | __buffer = None |
|
329 | 329 | __bufferStride = [] |
|
330 | 330 | __dataReady = False |
|
331 | 331 | __profIndexStride = 0 |
|
332 | 332 | __dataToPutStride = False |
|
333 | 333 | n = None |
|
334 | 334 | |
|
335 | 335 | def __init__(self, **kwargs): |
|
336 | 336 | |
|
337 | 337 | Operation.__init__(self, **kwargs) |
|
338 | 338 | |
|
339 | 339 | # self.isConfig = False |
|
340 | 340 | |
|
341 | 341 | def setup(self, n=None, timeInterval=None, stride=None, overlapping=False, byblock=False): |
|
342 | 342 | """ |
|
343 | 343 | Set the parameters of the integration class. |
|
344 | 344 | |
|
345 | 345 | Inputs: |
|
346 | 346 | |
|
347 | 347 | n : Number of coherent integrations |
|
348 | 348 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
349 | 349 | overlapping : |
|
350 | 350 | """ |
|
351 | 351 | |
|
352 | 352 | self.__initime = None |
|
353 | 353 | self.__lastdatatime = 0 |
|
354 | 354 | self.__buffer = None |
|
355 | 355 | self.__dataReady = False |
|
356 | 356 | self.byblock = byblock |
|
357 | 357 | self.stride = stride |
|
358 | 358 | |
|
359 | 359 | if n == None and timeInterval == None: |
|
360 | 360 | raise ValueError("n or timeInterval should be specified ...") |
|
361 | 361 | |
|
362 | 362 | if n != None: |
|
363 | 363 | self.n = n |
|
364 | 364 | self.__byTime = False |
|
365 | 365 | else: |
|
366 | 366 | self.__integrationtime = timeInterval #* 60. #if (type(timeInterval)!=integer) -> change this line |
|
367 | 367 | self.n = 9999 |
|
368 | 368 | self.__byTime = True |
|
369 | 369 | |
|
370 | 370 | if overlapping: |
|
371 | 371 | self.__withOverlapping = True |
|
372 | 372 | self.__buffer = None |
|
373 | 373 | else: |
|
374 | 374 | self.__withOverlapping = False |
|
375 | 375 | self.__buffer = 0 |
|
376 | 376 | |
|
377 | 377 | self.__profIndex = 0 |
|
378 | 378 | |
|
379 | 379 | def putData(self, data): |
|
380 | 380 | |
|
381 | 381 | """ |
|
382 | 382 | Add a profile to the __buffer and increase in one the __profileIndex |
|
383 | 383 | |
|
384 | 384 | """ |
|
385 | 385 | |
|
386 | 386 | if not self.__withOverlapping: |
|
387 | 387 | self.__buffer += data.copy() |
|
388 | 388 | self.__profIndex += 1 |
|
389 | 389 | return |
|
390 | 390 | |
|
391 | 391 | #Overlapping data |
|
392 | 392 | nChannels, nHeis = data.shape |
|
393 | 393 | data = numpy.reshape(data, (1, nChannels, nHeis)) |
|
394 | 394 | |
|
395 | 395 | #If the buffer is empty then it takes the data value |
|
396 | 396 | if self.__buffer is None: |
|
397 | 397 | self.__buffer = data |
|
398 | 398 | self.__profIndex += 1 |
|
399 | 399 | return |
|
400 | 400 | |
|
401 | 401 | #If the buffer length is lower than n then stakcing the data value |
|
402 | 402 | if self.__profIndex < self.n: |
|
403 | 403 | self.__buffer = numpy.vstack((self.__buffer, data)) |
|
404 | 404 | self.__profIndex += 1 |
|
405 | 405 | return |
|
406 | 406 | |
|
407 | 407 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
408 | 408 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) |
|
409 | 409 | self.__buffer[self.n-1] = data |
|
410 | 410 | self.__profIndex = self.n |
|
411 | 411 | return |
|
412 | 412 | |
|
413 | 413 | |
|
414 | 414 | def pushData(self): |
|
415 | 415 | """ |
|
416 | 416 | Return the sum of the last profiles and the profiles used in the sum. |
|
417 | 417 | |
|
418 | 418 | Affected: |
|
419 | 419 | |
|
420 | 420 | self.__profileIndex |
|
421 | 421 | |
|
422 | 422 | """ |
|
423 | 423 | |
|
424 | 424 | if not self.__withOverlapping: |
|
425 | 425 | data = self.__buffer |
|
426 | 426 | n = self.__profIndex |
|
427 | 427 | |
|
428 | 428 | self.__buffer = 0 |
|
429 | 429 | self.__profIndex = 0 |
|
430 | 430 | |
|
431 | 431 | return data, n |
|
432 | 432 | |
|
433 | 433 | #Integration with Overlapping |
|
434 | 434 | data = numpy.sum(self.__buffer, axis=0) |
|
435 | 435 | # print data |
|
436 | 436 | # raise |
|
437 | 437 | n = self.__profIndex |
|
438 | 438 | |
|
439 | 439 | return data, n |
|
440 | 440 | |
|
441 | 441 | def byProfiles(self, data): |
|
442 | 442 | |
|
443 | 443 | self.__dataReady = False |
|
444 | 444 | avgdata = None |
|
445 | 445 | # n = None |
|
446 | 446 | # print data |
|
447 | 447 | # raise |
|
448 | 448 | self.putData(data) |
|
449 | 449 | |
|
450 | 450 | if self.__profIndex == self.n: |
|
451 | 451 | avgdata, n = self.pushData() |
|
452 | 452 | self.__dataReady = True |
|
453 | 453 | |
|
454 | 454 | return avgdata |
|
455 | 455 | |
|
456 | 456 | def byTime(self, data, datatime): |
|
457 | 457 | |
|
458 | 458 | self.__dataReady = False |
|
459 | 459 | avgdata = None |
|
460 | 460 | n = None |
|
461 | 461 | |
|
462 | 462 | self.putData(data) |
|
463 | 463 | |
|
464 | 464 | if (datatime - self.__initime) >= self.__integrationtime: |
|
465 | 465 | avgdata, n = self.pushData() |
|
466 | 466 | self.n = n |
|
467 | 467 | self.__dataReady = True |
|
468 | 468 | |
|
469 | 469 | return avgdata |
|
470 | 470 | |
|
471 | 471 | def integrateByStride(self, data, datatime): |
|
472 | 472 | # print data |
|
473 | 473 | if self.__profIndex == 0: |
|
474 | 474 | self.__buffer = [[data.copy(), datatime]] |
|
475 | 475 | else: |
|
476 | 476 | self.__buffer.append([data.copy(),datatime]) |
|
477 | 477 | self.__profIndex += 1 |
|
478 | 478 | self.__dataReady = False |
|
479 | 479 | |
|
480 | 480 | if self.__profIndex == self.n * self.stride : |
|
481 | 481 | self.__dataToPutStride = True |
|
482 | 482 | self.__profIndexStride = 0 |
|
483 | 483 | self.__profIndex = 0 |
|
484 | 484 | self.__bufferStride = [] |
|
485 | 485 | for i in range(self.stride): |
|
486 | 486 | current = self.__buffer[i::self.stride] |
|
487 | 487 | data = numpy.sum([t[0] for t in current], axis=0) |
|
488 | 488 | avgdatatime = numpy.average([t[1] for t in current]) |
|
489 | 489 | # print data |
|
490 | 490 | self.__bufferStride.append((data, avgdatatime)) |
|
491 | 491 | |
|
492 | 492 | if self.__dataToPutStride: |
|
493 | 493 | self.__dataReady = True |
|
494 | 494 | self.__profIndexStride += 1 |
|
495 | 495 | if self.__profIndexStride == self.stride: |
|
496 | 496 | self.__dataToPutStride = False |
|
497 | 497 | # print self.__bufferStride[self.__profIndexStride - 1] |
|
498 | 498 | # raise |
|
499 | 499 | return self.__bufferStride[self.__profIndexStride - 1] |
|
500 | 500 | |
|
501 | 501 | |
|
502 | 502 | return None, None |
|
503 | 503 | |
|
504 | 504 | def integrate(self, data, datatime=None): |
|
505 | 505 | |
|
506 | 506 | if self.__initime == None: |
|
507 | 507 | self.__initime = datatime |
|
508 | 508 | |
|
509 | 509 | if self.__byTime: |
|
510 | 510 | avgdata = self.byTime(data, datatime) |
|
511 | 511 | else: |
|
512 | 512 | avgdata = self.byProfiles(data) |
|
513 | 513 | |
|
514 | 514 | |
|
515 | 515 | self.__lastdatatime = datatime |
|
516 | 516 | |
|
517 | 517 | if avgdata is None: |
|
518 | 518 | return None, None |
|
519 | 519 | |
|
520 | 520 | avgdatatime = self.__initime |
|
521 | 521 | |
|
522 | 522 | deltatime = datatime - self.__lastdatatime |
|
523 | 523 | |
|
524 | 524 | if not self.__withOverlapping: |
|
525 | 525 | self.__initime = datatime |
|
526 | 526 | else: |
|
527 | 527 | self.__initime += deltatime |
|
528 | 528 | |
|
529 | 529 | return avgdata, avgdatatime |
|
530 | 530 | |
|
531 | 531 | def integrateByBlock(self, dataOut): |
|
532 | 532 | |
|
533 | 533 | times = int(dataOut.data.shape[1]/self.n) |
|
534 | 534 | avgdata = numpy.zeros((dataOut.nChannels, times, dataOut.nHeights), dtype=numpy.complex) |
|
535 | 535 | |
|
536 | 536 | id_min = 0 |
|
537 | 537 | id_max = self.n |
|
538 | 538 | |
|
539 | 539 | for i in range(times): |
|
540 | 540 | junk = dataOut.data[:,id_min:id_max,:] |
|
541 | 541 | avgdata[:,i,:] = junk.sum(axis=1) |
|
542 | 542 | id_min += self.n |
|
543 | 543 | id_max += self.n |
|
544 | 544 | |
|
545 | 545 | timeInterval = dataOut.ippSeconds*self.n |
|
546 | 546 | avgdatatime = (times - 1) * timeInterval + dataOut.utctime |
|
547 | 547 | self.__dataReady = True |
|
548 | 548 | return avgdata, avgdatatime |
|
549 | 549 | |
|
550 | 550 | def run(self, dataOut, n=None, timeInterval=None, stride=None, overlapping=False, byblock=False, **kwargs): |
|
551 | 551 | |
|
552 | 552 | if not self.isConfig: |
|
553 | 553 | self.setup(n=n, stride=stride, timeInterval=timeInterval, overlapping=overlapping, byblock=byblock, **kwargs) |
|
554 | 554 | self.isConfig = True |
|
555 | 555 | |
|
556 | 556 | if dataOut.flagDataAsBlock: |
|
557 | 557 | """ |
|
558 | 558 | Si la data es leida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
559 | 559 | """ |
|
560 | 560 | avgdata, avgdatatime = self.integrateByBlock(dataOut) |
|
561 | 561 | dataOut.nProfiles /= self.n |
|
562 | 562 | else: |
|
563 | 563 |
if stride is None: |
|
564 | 564 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) |
|
565 | 565 | else: |
|
566 | 566 | avgdata, avgdatatime = self.integrateByStride(dataOut.data, dataOut.utctime) |
|
567 | 567 | |
|
568 | 568 | |
|
569 | 569 | # dataOut.timeInterval *= n |
|
570 | 570 | dataOut.flagNoData = True |
|
571 | 571 | |
|
572 | 572 | if self.__dataReady: |
|
573 | 573 | dataOut.data = avgdata |
|
574 | 574 | dataOut.nCohInt *= self.n |
|
575 | 575 | dataOut.utctime = avgdatatime |
|
576 | 576 | # print avgdata, avgdatatime |
|
577 | 577 | # raise |
|
578 | 578 | # dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt |
|
579 | 579 | dataOut.flagNoData = False |
|
580 | 580 | return dataOut |
|
581 | 581 | |
|
582 | 582 | class Decoder(Operation): |
|
583 | 583 | |
|
584 | 584 | isConfig = False |
|
585 | 585 | __profIndex = 0 |
|
586 | 586 | |
|
587 | 587 | code = None |
|
588 | 588 | |
|
589 | 589 | nCode = None |
|
590 | 590 | nBaud = None |
|
591 | 591 | |
|
592 | 592 | def __init__(self, **kwargs): |
|
593 | 593 | |
|
594 | 594 | Operation.__init__(self, **kwargs) |
|
595 | 595 | |
|
596 | 596 | self.times = None |
|
597 | 597 | self.osamp = None |
|
598 | 598 | # self.__setValues = False |
|
599 | 599 | self.isConfig = False |
|
600 | 600 | self.setupReq = False |
|
601 | 601 | def setup(self, code, osamp, dataOut): |
|
602 | 602 | |
|
603 | 603 | self.__profIndex = 0 |
|
604 | 604 | |
|
605 | 605 | self.code = code |
|
606 | 606 | |
|
607 | 607 | self.nCode = len(code) |
|
608 | 608 | self.nBaud = len(code[0]) |
|
609 | ||
|
610 | 609 | if (osamp != None) and (osamp >1): |
|
611 | 610 | self.osamp = osamp |
|
612 | 611 | self.code = numpy.repeat(code, repeats=self.osamp, axis=1) |
|
613 | 612 | self.nBaud = self.nBaud*self.osamp |
|
614 | 613 | |
|
615 | 614 | self.__nChannels = dataOut.nChannels |
|
616 | 615 | self.__nProfiles = dataOut.nProfiles |
|
617 | 616 | self.__nHeis = dataOut.nHeights |
|
618 | 617 | |
|
619 | 618 | if self.__nHeis < self.nBaud: |
|
620 | 619 | raise ValueError('Number of heights (%d) should be greater than number of bauds (%d)' %(self.__nHeis, self.nBaud)) |
|
621 | 620 | |
|
622 | 621 | #Frequency |
|
623 | 622 | __codeBuffer = numpy.zeros((self.nCode, self.__nHeis), dtype=numpy.complex) |
|
624 | 623 | |
|
625 | 624 | __codeBuffer[:,0:self.nBaud] = self.code |
|
626 | 625 | |
|
627 | 626 | self.fft_code = numpy.conj(numpy.fft.fft(__codeBuffer, axis=1)) |
|
628 | 627 | |
|
629 | 628 | if dataOut.flagDataAsBlock: |
|
630 | 629 | |
|
631 | 630 | self.ndatadec = self.__nHeis #- self.nBaud + 1 |
|
632 | 631 | |
|
633 | 632 | self.datadecTime = numpy.zeros((self.__nChannels, self.__nProfiles, self.ndatadec), dtype=numpy.complex) |
|
634 | 633 | |
|
635 | 634 | else: |
|
636 | 635 | |
|
637 | 636 | #Time |
|
638 | 637 | self.ndatadec = self.__nHeis #- self.nBaud + 1 |
|
639 | 638 | |
|
640 | 639 | self.datadecTime = numpy.zeros((self.__nChannels, self.ndatadec), dtype=numpy.complex) |
|
641 | 640 | |
|
642 | 641 | def __convolutionInFreq(self, data): |
|
643 | 642 | |
|
644 | 643 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
645 | 644 | |
|
646 | 645 | fft_data = numpy.fft.fft(data, axis=1) |
|
647 | 646 | |
|
648 | 647 | conv = fft_data*fft_code |
|
649 | 648 | |
|
650 | 649 | data = numpy.fft.ifft(conv,axis=1) |
|
651 | 650 | |
|
652 | 651 | return data |
|
653 | 652 | |
|
654 | 653 | def __convolutionInFreqOpt(self, data): |
|
655 | 654 | |
|
656 | 655 | raise NotImplementedError |
|
657 | 656 | |
|
658 | 657 | def __convolutionInTime(self, data): |
|
659 | 658 | |
|
660 | 659 | code = self.code[self.__profIndex] |
|
661 | 660 | for i in range(self.__nChannels): |
|
662 | 661 | self.datadecTime[i,:] = numpy.correlate(data[i,:], code, mode='full')[self.nBaud-1:] |
|
663 | 662 | |
|
664 | 663 | return self.datadecTime |
|
665 | 664 | |
|
666 | 665 | def __convolutionByBlockInTime(self, data): |
|
667 | 666 | |
|
668 | 667 | repetitions = int(self.__nProfiles / self.nCode) |
|
669 | 668 | junk = numpy.lib.stride_tricks.as_strided(self.code, (repetitions, self.code.size), (0, self.code.itemsize)) |
|
670 | 669 | junk = junk.flatten() |
|
671 | 670 | code_block = numpy.reshape(junk, (self.nCode*repetitions, self.nBaud)) |
|
672 | 671 | profilesList = range(self.__nProfiles) |
|
673 | 672 | |
|
674 | 673 |
for i in range(self.__nChannels): |
|
675 | 674 |
for j in profilesList: |
|
676 | 675 |
self.datadecTime[i,j,:] = numpy.correlate(data[i,j,:], code_block[j,:], mode='full')[self.nBaud-1:] |
|
677 | 676 |
return self.datadecTime |
|
678 | 677 | |
|
679 | 678 | def __convolutionByBlockInFreq(self, data): |
|
680 | 679 | |
|
681 | 680 | raise NotImplementedError("Decoder by frequency fro Blocks not implemented") |
|
682 | 681 | |
|
683 | 682 | |
|
684 | 683 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
685 | 684 | |
|
686 | 685 | fft_data = numpy.fft.fft(data, axis=2) |
|
687 | 686 | |
|
688 | 687 | conv = fft_data*fft_code |
|
689 | 688 | |
|
690 | 689 | data = numpy.fft.ifft(conv,axis=2) |
|
691 | 690 | |
|
692 | 691 | return data |
|
693 | 692 | |
|
694 | 693 | |
|
695 | 694 | def run(self, dataOut, code=None, nCode=None, nBaud=None, mode = 0, osamp=None, times=None): |
|
696 | 695 | |
|
697 | 696 | if dataOut.flagDecodeData: |
|
698 | 697 | print("This data is already decoded, recoding again ...") |
|
699 | 698 | |
|
700 | 699 | if not self.isConfig: |
|
701 | 700 | |
|
702 | 701 | if code is None: |
|
703 | 702 | if dataOut.code is None: |
|
704 | 703 | raise ValueError("Code could not be read from %s instance. Enter a value in Code parameter" %dataOut.type) |
|
705 | 704 | |
|
706 | 705 | code = dataOut.code |
|
707 | 706 | else: |
|
708 | 707 | code = numpy.array(code).reshape(nCode,nBaud) |
|
709 | 708 | self.setup(code, osamp, dataOut) |
|
710 | 709 | |
|
711 | 710 | self.isConfig = True |
|
712 | 711 | |
|
713 | 712 | if mode == 3: |
|
714 | 713 | sys.stderr.write("Decoder Warning: mode=%d is not valid, using mode=0\n" %mode) |
|
715 | 714 | |
|
716 | 715 | if times != None: |
|
717 | 716 | sys.stderr.write("Decoder Warning: Argument 'times' in not used anymore\n") |
|
718 | 717 | |
|
719 | 718 | if self.code is None: |
|
720 | 719 | print("Fail decoding: Code is not defined.") |
|
721 | 720 | return |
|
722 | 721 | |
|
723 | 722 | self.__nProfiles = dataOut.nProfiles |
|
724 | 723 | datadec = None |
|
725 | 724 | |
|
726 | 725 | if mode == 3: |
|
727 | 726 | mode = 0 |
|
728 | 727 | |
|
729 | 728 | if dataOut.flagDataAsBlock: |
|
730 | 729 | """ |
|
731 | 730 | Decoding when data have been read as block, |
|
732 | 731 | """ |
|
733 | 732 | |
|
734 | 733 | if mode == 0: |
|
735 | 734 | datadec = self.__convolutionByBlockInTime(dataOut.data) |
|
736 | 735 | if mode == 1: |
|
737 | 736 | datadec = self.__convolutionByBlockInFreq(dataOut.data) |
|
738 | 737 | else: |
|
739 | 738 | """ |
|
740 | 739 | Decoding when data have been read profile by profile |
|
741 | 740 | """ |
|
742 | 741 | if mode == 0: |
|
743 | 742 | datadec = self.__convolutionInTime(dataOut.data) |
|
744 | 743 | |
|
745 | 744 | if mode == 1: |
|
746 | 745 | datadec = self.__convolutionInFreq(dataOut.data) |
|
747 | 746 | |
|
748 | 747 | if mode == 2: |
|
749 | 748 | datadec = self.__convolutionInFreqOpt(dataOut.data) |
|
750 | 749 | |
|
751 | 750 | if datadec is None: |
|
752 | 751 | raise ValueError("Codification mode selected is not valid: mode=%d. Try selecting 0 or 1" %mode) |
|
753 | 752 | |
|
754 | 753 | dataOut.code = self.code |
|
755 | 754 | dataOut.nCode = self.nCode |
|
756 | 755 | dataOut.nBaud = self.nBaud |
|
757 | 756 | |
|
758 | 757 | dataOut.data = datadec |
|
759 | 758 | |
|
760 | 759 | dataOut.heightList = dataOut.heightList[0:datadec.shape[-1]] |
|
761 | 760 | |
|
762 | 761 | dataOut.flagDecodeData = True #asumo q la data esta decodificada |
|
763 | 762 | |
|
764 | 763 | if self.__profIndex == self.nCode-1: |
|
765 | 764 | self.__profIndex = 0 |
|
766 | 765 | return dataOut |
|
767 | 766 | |
|
768 | 767 | self.__profIndex += 1 |
|
769 | 768 | |
|
770 | 769 | return dataOut |
|
771 | 770 | # dataOut.flagDeflipData = True #asumo q la data no esta sin flip |
|
772 | 771 | |
|
773 | 772 | |
|
774 | 773 | class ProfileConcat(Operation): |
|
775 | 774 | |
|
776 | 775 | isConfig = False |
|
777 | 776 | buffer = None |
|
778 | 777 | |
|
779 | 778 | def __init__(self, **kwargs): |
|
780 | 779 | |
|
781 | 780 | Operation.__init__(self, **kwargs) |
|
782 | 781 | self.profileIndex = 0 |
|
783 | 782 | |
|
784 | 783 | def reset(self): |
|
785 | 784 | self.buffer = numpy.zeros_like(self.buffer) |
|
786 | 785 | self.start_index = 0 |
|
787 | 786 | self.times = 1 |
|
788 | 787 | |
|
789 | 788 | def setup(self, data, m, n=1): |
|
790 | 789 | self.buffer = numpy.zeros((data.shape[0],data.shape[1]*m),dtype=type(data[0,0])) |
|
791 | 790 | self.nHeights = data.shape[1]#.nHeights |
|
792 | 791 | self.start_index = 0 |
|
793 | 792 | self.times = 1 |
|
794 | 793 | |
|
795 | 794 | def concat(self, data): |
|
796 | 795 | |
|
797 | 796 | self.buffer[:,self.start_index:self.nHeights*self.times] = data.copy() |
|
798 | 797 | self.start_index = self.start_index + self.nHeights |
|
799 | 798 | |
|
800 | 799 | def run(self, dataOut, m): |
|
801 | 800 | dataOut.flagNoData = True |
|
802 | 801 | |
|
803 | 802 | if not self.isConfig: |
|
804 | 803 | self.setup(dataOut.data, m, 1) |
|
805 | 804 | self.isConfig = True |
|
806 | 805 | |
|
807 | 806 | if dataOut.flagDataAsBlock: |
|
808 | 807 | raise ValueError("ProfileConcat can only be used when voltage have been read profile by profile, getBlock = False") |
|
809 | 808 | |
|
810 | 809 | else: |
|
811 | 810 | self.concat(dataOut.data) |
|
812 | 811 | self.times += 1 |
|
813 | 812 | if self.times > m: |
|
814 | 813 | dataOut.data = self.buffer |
|
815 | 814 | self.reset() |
|
816 | 815 | dataOut.flagNoData = False |
|
817 | 816 | # se deben actualizar mas propiedades del header y del objeto dataOut, por ejemplo, las alturas |
|
818 | 817 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
819 | 818 | xf = dataOut.heightList[0] + dataOut.nHeights * deltaHeight * m |
|
820 | 819 | dataOut.heightList = numpy.arange(dataOut.heightList[0], xf, deltaHeight) |
|
821 | 820 | dataOut.ippSeconds *= m |
|
822 | 821 | return dataOut |
|
823 | 822 | |
|
824 | 823 | class ProfileSelector(Operation): |
|
825 | 824 | |
|
826 | 825 | profileIndex = None |
|
827 | 826 | # Tamanho total de los perfiles |
|
828 | 827 | nProfiles = None |
|
829 | 828 | |
|
830 | 829 | def __init__(self, **kwargs): |
|
831 | 830 | |
|
832 | 831 | Operation.__init__(self, **kwargs) |
|
833 | 832 | self.profileIndex = 0 |
|
834 | 833 | |
|
835 | 834 | def incProfileIndex(self): |
|
836 | 835 | |
|
837 | 836 | self.profileIndex += 1 |
|
838 | 837 | |
|
839 | 838 | if self.profileIndex >= self.nProfiles: |
|
840 | 839 | self.profileIndex = 0 |
|
841 | 840 | |
|
842 | 841 | def isThisProfileInRange(self, profileIndex, minIndex, maxIndex): |
|
843 | 842 | |
|
844 | 843 | if profileIndex < minIndex: |
|
845 | 844 | return False |
|
846 | 845 | |
|
847 | 846 | if profileIndex > maxIndex: |
|
848 | 847 | return False |
|
849 | 848 | |
|
850 | 849 | return True |
|
851 | 850 | |
|
852 | 851 | def isThisProfileInList(self, profileIndex, profileList): |
|
853 | 852 | |
|
854 | 853 | if profileIndex not in profileList: |
|
855 | 854 | return False |
|
856 | 855 | |
|
857 | 856 | return True |
|
858 | 857 | |
|
859 | 858 | def run(self, dataOut, profileList=None, profileRangeList=None, beam=None, byblock=False, rangeList = None, nProfiles=None): |
|
860 | 859 | |
|
861 | 860 | """ |
|
862 | 861 | ProfileSelector: |
|
863 | 862 | |
|
864 | 863 | Inputs: |
|
865 | 864 | profileList : Index of profiles selected. Example: profileList = (0,1,2,7,8) |
|
866 | 865 | |
|
867 | 866 | profileRangeList : Minimum and maximum profile indexes. Example: profileRangeList = (4, 30) |
|
868 | 867 | |
|
869 | 868 | rangeList : List of profile ranges. Example: rangeList = ((4, 30), (32, 64), (128, 256)) |
|
870 | 869 | |
|
871 | 870 | """ |
|
872 | 871 | |
|
873 | 872 | if rangeList is not None: |
|
874 | 873 | if type(rangeList[0]) not in (tuple, list): |
|
875 | 874 | rangeList = [rangeList] |
|
876 | 875 | |
|
877 | 876 | dataOut.flagNoData = True |
|
878 | 877 | |
|
879 | 878 | if dataOut.flagDataAsBlock: |
|
880 | 879 | """ |
|
881 | 880 | data dimension = [nChannels, nProfiles, nHeis] |
|
882 | 881 | """ |
|
883 | 882 | if profileList != None: |
|
884 | 883 | dataOut.data = dataOut.data[:,profileList,:] |
|
885 | 884 | |
|
886 | 885 | if profileRangeList != None: |
|
887 | 886 | minIndex = profileRangeList[0] |
|
888 | 887 | maxIndex = profileRangeList[1] |
|
889 | 888 | profileList = list(range(minIndex, maxIndex+1)) |
|
890 | 889 | |
|
891 | 890 | dataOut.data = dataOut.data[:,minIndex:maxIndex+1,:] |
|
892 | 891 | |
|
893 | 892 | if rangeList != None: |
|
894 | 893 | |
|
895 | 894 | profileList = [] |
|
896 | 895 | |
|
897 | 896 | for thisRange in rangeList: |
|
898 | 897 | minIndex = thisRange[0] |
|
899 | 898 | maxIndex = thisRange[1] |
|
900 | 899 | |
|
901 | 900 | profileList.extend(list(range(minIndex, maxIndex+1))) |
|
902 | 901 | |
|
903 | 902 | dataOut.data = dataOut.data[:,profileList,:] |
|
904 | 903 | |
|
905 | 904 | dataOut.nProfiles = len(profileList) |
|
906 | 905 | dataOut.profileIndex = dataOut.nProfiles - 1 |
|
907 | 906 | dataOut.flagNoData = False |
|
908 | 907 | |
|
909 | 908 | return dataOut |
|
910 | 909 | |
|
911 | 910 | """ |
|
912 | 911 | data dimension = [nChannels, nHeis] |
|
913 | 912 | """ |
|
914 | 913 | |
|
915 | 914 | if profileList != None: |
|
916 | 915 | |
|
917 | 916 | if self.isThisProfileInList(dataOut.profileIndex, profileList): |
|
918 | 917 | |
|
919 | 918 | self.nProfiles = len(profileList) |
|
920 | 919 | dataOut.nProfiles = self.nProfiles |
|
921 | 920 | dataOut.profileIndex = self.profileIndex |
|
922 | 921 | dataOut.flagNoData = False |
|
923 | 922 | |
|
924 | 923 | self.incProfileIndex() |
|
925 | 924 | return dataOut |
|
926 | 925 | |
|
927 | 926 | if profileRangeList != None: |
|
928 | 927 | |
|
929 | 928 | minIndex = profileRangeList[0] |
|
930 | 929 | maxIndex = profileRangeList[1] |
|
931 | 930 | |
|
932 | 931 | if self.isThisProfileInRange(dataOut.profileIndex, minIndex, maxIndex): |
|
933 | 932 | |
|
934 | 933 | self.nProfiles = maxIndex - minIndex + 1 |
|
935 | 934 | dataOut.nProfiles = self.nProfiles |
|
936 | 935 | dataOut.profileIndex = self.profileIndex |
|
937 | 936 | dataOut.flagNoData = False |
|
938 | 937 | |
|
939 | 938 | self.incProfileIndex() |
|
940 | 939 | return dataOut |
|
941 | 940 | |
|
942 | 941 | if rangeList != None: |
|
943 | 942 | |
|
944 | 943 | nProfiles = 0 |
|
945 | 944 | |
|
946 | 945 | for thisRange in rangeList: |
|
947 | 946 | minIndex = thisRange[0] |
|
948 | 947 | maxIndex = thisRange[1] |
|
949 | 948 | |
|
950 | 949 | nProfiles += maxIndex - minIndex + 1 |
|
951 | 950 | |
|
952 | 951 | for thisRange in rangeList: |
|
953 | 952 | |
|
954 | 953 | minIndex = thisRange[0] |
|
955 | 954 | maxIndex = thisRange[1] |
|
956 | 955 | |
|
957 | 956 | if self.isThisProfileInRange(dataOut.profileIndex, minIndex, maxIndex): |
|
958 | 957 | |
|
959 | 958 | self.nProfiles = nProfiles |
|
960 | 959 | dataOut.nProfiles = self.nProfiles |
|
961 | 960 | dataOut.profileIndex = self.profileIndex |
|
962 | 961 | dataOut.flagNoData = False |
|
963 | 962 | |
|
964 | 963 | self.incProfileIndex() |
|
965 | 964 | |
|
966 | 965 | break |
|
967 | 966 | |
|
968 | 967 | return dataOut |
|
969 | 968 | |
|
970 | 969 | |
|
971 | 970 | if beam != None: #beam is only for AMISR data |
|
972 | 971 | if self.isThisProfileInList(dataOut.profileIndex, dataOut.beamRangeDict[beam]): |
|
973 | 972 | dataOut.flagNoData = False |
|
974 | 973 | dataOut.profileIndex = self.profileIndex |
|
975 | 974 | |
|
976 | 975 | self.incProfileIndex() |
|
977 | 976 | |
|
978 | 977 | return dataOut |
|
979 | 978 | |
|
980 | 979 | raise ValueError("ProfileSelector needs profileList, profileRangeList or rangeList parameter") |
|
981 | 980 | |
|
982 | 981 | #return False |
|
983 | 982 | return dataOut |
|
984 | 983 | |
|
985 | 984 | class Reshaper(Operation): |
|
986 | 985 | |
|
987 | 986 | def __init__(self, **kwargs): |
|
988 | 987 | |
|
989 | 988 | Operation.__init__(self, **kwargs) |
|
990 | 989 | |
|
991 | 990 | self.__buffer = None |
|
992 | 991 | self.__nitems = 0 |
|
993 | 992 | |
|
994 | 993 | def __appendProfile(self, dataOut, nTxs): |
|
995 | 994 | |
|
996 | 995 | if self.__buffer is None: |
|
997 | 996 | shape = (dataOut.nChannels, int(dataOut.nHeights/nTxs) ) |
|
998 | 997 | self.__buffer = numpy.empty(shape, dtype = dataOut.data.dtype) |
|
999 | 998 | |
|
1000 | 999 | ini = dataOut.nHeights * self.__nitems |
|
1001 | 1000 | end = ini + dataOut.nHeights |
|
1002 | 1001 | |
|
1003 | 1002 | self.__buffer[:, ini:end] = dataOut.data |
|
1004 | 1003 | |
|
1005 | 1004 | self.__nitems += 1 |
|
1006 | 1005 | |
|
1007 | 1006 | return int(self.__nitems*nTxs) |
|
1008 | 1007 | |
|
1009 | 1008 | def __getBuffer(self): |
|
1010 | 1009 | |
|
1011 | 1010 | if self.__nitems == int(1./self.__nTxs): |
|
1012 | 1011 | |
|
1013 | 1012 | self.__nitems = 0 |
|
1014 | 1013 | |
|
1015 | 1014 | return self.__buffer.copy() |
|
1016 | 1015 | |
|
1017 | 1016 | return None |
|
1018 | 1017 | |
|
1019 | 1018 | def __checkInputs(self, dataOut, shape, nTxs): |
|
1020 | 1019 | |
|
1021 | 1020 | if shape is None and nTxs is None: |
|
1022 | 1021 | raise ValueError("Reshaper: shape of factor should be defined") |
|
1023 | 1022 | |
|
1024 | 1023 | if nTxs: |
|
1025 | 1024 | if nTxs < 0: |
|
1026 | 1025 | raise ValueError("nTxs should be greater than 0") |
|
1027 | 1026 | |
|
1028 | 1027 | if nTxs < 1 and dataOut.nProfiles % (1./nTxs) != 0: |
|
1029 | 1028 | raise ValueError("nProfiles= %d is not divisibled by (1./nTxs) = %f" %(dataOut.nProfiles, (1./nTxs))) |
|
1030 | 1029 | |
|
1031 | 1030 | shape = [dataOut.nChannels, dataOut.nProfiles*nTxs, dataOut.nHeights/nTxs] |
|
1032 | 1031 | |
|
1033 | 1032 | return shape, nTxs |
|
1034 | 1033 | |
|
1035 | 1034 | if len(shape) != 2 and len(shape) != 3: |
|
1036 | 1035 | raise ValueError("shape dimension should be equal to 2 or 3. shape = (nProfiles, nHeis) or (nChannels, nProfiles, nHeis). Actually shape = (%d, %d, %d)" %(dataOut.nChannels, dataOut.nProfiles, dataOut.nHeights)) |
|
1037 | 1036 | |
|
1038 | 1037 | if len(shape) == 2: |
|
1039 | 1038 | shape_tuple = [dataOut.nChannels] |
|
1040 | 1039 | shape_tuple.extend(shape) |
|
1041 | 1040 | else: |
|
1042 | 1041 | shape_tuple = list(shape) |
|
1043 | 1042 | |
|
1044 | 1043 | nTxs = 1.0*shape_tuple[1]/dataOut.nProfiles |
|
1045 | 1044 | |
|
1046 | 1045 | return shape_tuple, nTxs |
|
1047 | 1046 | |
|
1048 | 1047 | def run(self, dataOut, shape=None, nTxs=None): |
|
1049 | 1048 | |
|
1050 | 1049 | shape_tuple, self.__nTxs = self.__checkInputs(dataOut, shape, nTxs) |
|
1051 | 1050 | |
|
1052 | 1051 | dataOut.flagNoData = True |
|
1053 | 1052 | profileIndex = None |
|
1054 | 1053 | |
|
1055 | 1054 | if dataOut.flagDataAsBlock: |
|
1056 | 1055 | |
|
1057 | 1056 | dataOut.data = numpy.reshape(dataOut.data, shape_tuple) |
|
1058 | 1057 | dataOut.flagNoData = False |
|
1059 | 1058 | |
|
1060 | 1059 | profileIndex = int(dataOut.nProfiles*self.__nTxs) - 1 |
|
1061 | 1060 | |
|
1062 | 1061 | else: |
|
1063 | 1062 | |
|
1064 | 1063 | if self.__nTxs < 1: |
|
1065 | 1064 | |
|
1066 | 1065 | self.__appendProfile(dataOut, self.__nTxs) |
|
1067 | 1066 | new_data = self.__getBuffer() |
|
1068 | 1067 | |
|
1069 | 1068 | if new_data is not None: |
|
1070 | 1069 | dataOut.data = new_data |
|
1071 | 1070 | dataOut.flagNoData = False |
|
1072 | 1071 | |
|
1073 | 1072 | profileIndex = dataOut.profileIndex*nTxs |
|
1074 | 1073 | |
|
1075 | 1074 | else: |
|
1076 | 1075 | raise ValueError("nTxs should be greater than 0 and lower than 1, or use VoltageReader(..., getblock=True)") |
|
1077 | 1076 | |
|
1078 | 1077 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
1079 | 1078 | |
|
1080 | 1079 | dataOut.heightList = numpy.arange(dataOut.nHeights/self.__nTxs) * deltaHeight + dataOut.heightList[0] |
|
1081 | 1080 | |
|
1082 | 1081 | dataOut.nProfiles = int(dataOut.nProfiles*self.__nTxs) |
|
1083 | 1082 | |
|
1084 | 1083 | dataOut.profileIndex = profileIndex |
|
1085 | 1084 | |
|
1086 | 1085 | dataOut.ippSeconds /= self.__nTxs |
|
1087 | 1086 | |
|
1088 | 1087 | return dataOut |
|
1089 | 1088 | |
|
1090 | 1089 | class SplitProfiles(Operation): |
|
1091 | 1090 | |
|
1092 | 1091 | def __init__(self, **kwargs): |
|
1093 | 1092 | |
|
1094 | 1093 | Operation.__init__(self, **kwargs) |
|
1095 | 1094 | |
|
1096 | 1095 | def run(self, dataOut, n): |
|
1097 | 1096 | |
|
1098 | 1097 | dataOut.flagNoData = True |
|
1099 | 1098 | profileIndex = None |
|
1100 | 1099 | |
|
1101 | 1100 | if dataOut.flagDataAsBlock: |
|
1102 | 1101 | |
|
1103 | 1102 | #nchannels, nprofiles, nsamples |
|
1104 | 1103 | shape = dataOut.data.shape |
|
1105 | 1104 | |
|
1106 | 1105 | if shape[2] % n != 0: |
|
1107 | 1106 | raise ValueError("Could not split the data, n=%d has to be multiple of %d" %(n, shape[2])) |
|
1108 | 1107 | |
|
1109 | 1108 | new_shape = shape[0], shape[1]*n, int(shape[2]/n) |
|
1110 | 1109 | |
|
1111 | 1110 | dataOut.data = numpy.reshape(dataOut.data, new_shape) |
|
1112 | 1111 | dataOut.flagNoData = False |
|
1113 | 1112 | |
|
1114 | 1113 | profileIndex = int(dataOut.nProfiles/n) - 1 |
|
1115 | 1114 | |
|
1116 | 1115 | else: |
|
1117 | 1116 | |
|
1118 | 1117 | raise ValueError("Could not split the data when is read Profile by Profile. Use VoltageReader(..., getblock=True)") |
|
1119 | 1118 | |
|
1120 | 1119 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
1121 | 1120 | |
|
1122 | 1121 | dataOut.heightList = numpy.arange(dataOut.nHeights/n) * deltaHeight + dataOut.heightList[0] |
|
1123 | 1122 | |
|
1124 | 1123 | dataOut.nProfiles = int(dataOut.nProfiles*n) |
|
1125 | 1124 | |
|
1126 | 1125 | dataOut.profileIndex = profileIndex |
|
1127 | 1126 | |
|
1128 | 1127 | dataOut.ippSeconds /= n |
|
1129 | 1128 | |
|
1130 | 1129 | return dataOut |
|
1131 | 1130 | |
|
1132 | 1131 | class CombineProfiles(Operation): |
|
1133 | 1132 | def __init__(self, **kwargs): |
|
1134 | 1133 | |
|
1135 | 1134 | Operation.__init__(self, **kwargs) |
|
1136 | 1135 | |
|
1137 | 1136 | self.__remData = None |
|
1138 | 1137 | self.__profileIndex = 0 |
|
1139 | 1138 | |
|
1140 | 1139 | def run(self, dataOut, n): |
|
1141 | 1140 | |
|
1142 | 1141 | dataOut.flagNoData = True |
|
1143 | 1142 | profileIndex = None |
|
1144 | 1143 | |
|
1145 | 1144 | if dataOut.flagDataAsBlock: |
|
1146 | 1145 | |
|
1147 | 1146 | #nchannels, nprofiles, nsamples |
|
1148 | 1147 | shape = dataOut.data.shape |
|
1149 | 1148 | new_shape = shape[0], shape[1]/n, shape[2]*n |
|
1150 | 1149 | |
|
1151 | 1150 | if shape[1] % n != 0: |
|
1152 | 1151 | raise ValueError("Could not split the data, n=%d has to be multiple of %d" %(n, shape[1])) |
|
1153 | 1152 | |
|
1154 | 1153 | dataOut.data = numpy.reshape(dataOut.data, new_shape) |
|
1155 | 1154 | dataOut.flagNoData = False |
|
1156 | 1155 | |
|
1157 | 1156 | profileIndex = int(dataOut.nProfiles*n) - 1 |
|
1158 | 1157 | |
|
1159 | 1158 | else: |
|
1160 | 1159 | |
|
1161 | 1160 | #nchannels, nsamples |
|
1162 | 1161 | if self.__remData is None: |
|
1163 | 1162 | newData = dataOut.data |
|
1164 | 1163 | else: |
|
1165 | 1164 | newData = numpy.concatenate((self.__remData, dataOut.data), axis=1) |
|
1166 | 1165 | |
|
1167 | 1166 | self.__profileIndex += 1 |
|
1168 | 1167 | |
|
1169 | 1168 | if self.__profileIndex < n: |
|
1170 | 1169 | self.__remData = newData |
|
1171 | 1170 | #continue |
|
1172 | 1171 | return |
|
1173 | 1172 | |
|
1174 | 1173 | self.__profileIndex = 0 |
|
1175 | 1174 | self.__remData = None |
|
1176 | 1175 | |
|
1177 | 1176 | dataOut.data = newData |
|
1178 | 1177 | dataOut.flagNoData = False |
|
1179 | 1178 | |
|
1180 | 1179 | profileIndex = dataOut.profileIndex/n |
|
1181 | 1180 | |
|
1182 | 1181 | |
|
1183 | 1182 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
1184 | 1183 | |
|
1185 | 1184 | dataOut.heightList = numpy.arange(dataOut.nHeights*n) * deltaHeight + dataOut.heightList[0] |
|
1186 | 1185 | |
|
1187 | 1186 | dataOut.nProfiles = int(dataOut.nProfiles/n) |
|
1188 | 1187 | |
|
1189 | 1188 | dataOut.profileIndex = profileIndex |
|
1190 | 1189 | |
|
1191 | 1190 | dataOut.ippSeconds *= n |
|
1192 | 1191 | |
|
1193 | 1192 | return dataOut |
|
1194 | 1193 | # import collections |
|
1195 | 1194 | # from scipy.stats import mode |
|
1196 | 1195 | # |
|
1197 | 1196 | # class Synchronize(Operation): |
|
1198 | 1197 | # |
|
1199 | 1198 | # isConfig = False |
|
1200 | 1199 | # __profIndex = 0 |
|
1201 | 1200 | # |
|
1202 | 1201 | # def __init__(self, **kwargs): |
|
1203 | 1202 | # |
|
1204 | 1203 | # Operation.__init__(self, **kwargs) |
|
1205 | 1204 | # # self.isConfig = False |
|
1206 | 1205 | # self.__powBuffer = None |
|
1207 | 1206 | # self.__startIndex = 0 |
|
1208 | 1207 | # self.__pulseFound = False |
|
1209 | 1208 | # |
|
1210 | 1209 | # def __findTxPulse(self, dataOut, channel=0, pulse_with = None): |
|
1211 | 1210 | # |
|
1212 | 1211 | # #Read data |
|
1213 | 1212 | # |
|
1214 | 1213 | # powerdB = dataOut.getPower(channel = channel) |
|
1215 | 1214 | # noisedB = dataOut.getNoise(channel = channel)[0] |
|
1216 | 1215 | # |
|
1217 | 1216 | # self.__powBuffer.extend(powerdB.flatten()) |
|
1218 | 1217 | # |
|
1219 | 1218 | # dataArray = numpy.array(self.__powBuffer) |
|
1220 | 1219 | # |
|
1221 | 1220 | # filteredPower = numpy.correlate(dataArray, dataArray[0:self.__nSamples], "same") |
|
1222 | 1221 | # |
|
1223 | 1222 | # maxValue = numpy.nanmax(filteredPower) |
|
1224 | 1223 | # |
|
1225 | 1224 | # if maxValue < noisedB + 10: |
|
1226 | 1225 | # #No se encuentra ningun pulso de transmision |
|
1227 | 1226 | # return None |
|
1228 | 1227 | # |
|
1229 | 1228 | # maxValuesIndex = numpy.where(filteredPower > maxValue - 0.1*abs(maxValue))[0] |
|
1230 | 1229 | # |
|
1231 | 1230 | # if len(maxValuesIndex) < 2: |
|
1232 | 1231 | # #Solo se encontro un solo pulso de transmision de un baudio, esperando por el siguiente TX |
|
1233 | 1232 | # return None |
|
1234 | 1233 | # |
|
1235 | 1234 | # phasedMaxValuesIndex = maxValuesIndex - self.__nSamples |
|
1236 | 1235 | # |
|
1237 | 1236 | # #Seleccionar solo valores con un espaciamiento de nSamples |
|
1238 | 1237 | # pulseIndex = numpy.intersect1d(maxValuesIndex, phasedMaxValuesIndex) |
|
1239 | 1238 | # |
|
1240 | 1239 | # if len(pulseIndex) < 2: |
|
1241 | 1240 | # #Solo se encontro un pulso de transmision con ancho mayor a 1 |
|
1242 | 1241 | # return None |
|
1243 | 1242 | # |
|
1244 | 1243 | # spacing = pulseIndex[1:] - pulseIndex[:-1] |
|
1245 | 1244 | # |
|
1246 | 1245 | # #remover senales que se distancien menos de 10 unidades o muestras |
|
1247 | 1246 | # #(No deberian existir IPP menor a 10 unidades) |
|
1248 | 1247 | # |
|
1249 | 1248 | # realIndex = numpy.where(spacing > 10 )[0] |
|
1250 | 1249 | # |
|
1251 | 1250 | # if len(realIndex) < 2: |
|
1252 | 1251 | # #Solo se encontro un pulso de transmision con ancho mayor a 1 |
|
1253 | 1252 | # return None |
|
1254 | 1253 | # |
|
1255 | 1254 | # #Eliminar pulsos anchos (deja solo la diferencia entre IPPs) |
|
1256 | 1255 | # realPulseIndex = pulseIndex[realIndex] |
|
1257 | 1256 | # |
|
1258 | 1257 | # period = mode(realPulseIndex[1:] - realPulseIndex[:-1])[0][0] |
|
1259 | 1258 | # |
|
1260 | 1259 | # print "IPP = %d samples" %period |
|
1261 | 1260 | # |
|
1262 | 1261 | # self.__newNSamples = dataOut.nHeights #int(period) |
|
1263 | 1262 | # self.__startIndex = int(realPulseIndex[0]) |
|
1264 | 1263 | # |
|
1265 | 1264 | # return 1 |
|
1266 | 1265 | # |
|
1267 | 1266 | # |
|
1268 | 1267 | # def setup(self, nSamples, nChannels, buffer_size = 4): |
|
1269 | 1268 | # |
|
1270 | 1269 | # self.__powBuffer = collections.deque(numpy.zeros( buffer_size*nSamples,dtype=numpy.float), |
|
1271 | 1270 | # maxlen = buffer_size*nSamples) |
|
1272 | 1271 | # |
|
1273 | 1272 | # bufferList = [] |
|
1274 | 1273 | # |
|
1275 | 1274 | # for i in range(nChannels): |
|
1276 | 1275 | # bufferByChannel = collections.deque(numpy.zeros( buffer_size*nSamples, dtype=numpy.complex) + numpy.NAN, |
|
1277 | 1276 | # maxlen = buffer_size*nSamples) |
|
1278 | 1277 | # |
|
1279 | 1278 | # bufferList.append(bufferByChannel) |
|
1280 | 1279 | # |
|
1281 | 1280 | # self.__nSamples = nSamples |
|
1282 | 1281 | # self.__nChannels = nChannels |
|
1283 | 1282 | # self.__bufferList = bufferList |
|
1284 | 1283 | # |
|
1285 | 1284 | # def run(self, dataOut, channel = 0): |
|
1286 | 1285 | # |
|
1287 | 1286 | # if not self.isConfig: |
|
1288 | 1287 | # nSamples = dataOut.nHeights |
|
1289 | 1288 | # nChannels = dataOut.nChannels |
|
1290 | 1289 | # self.setup(nSamples, nChannels) |
|
1291 | 1290 | # self.isConfig = True |
|
1292 | 1291 | # |
|
1293 | 1292 | # #Append new data to internal buffer |
|
1294 | 1293 | # for thisChannel in range(self.__nChannels): |
|
1295 | 1294 | # bufferByChannel = self.__bufferList[thisChannel] |
|
1296 | 1295 | # bufferByChannel.extend(dataOut.data[thisChannel]) |
|
1297 | 1296 | # |
|
1298 | 1297 | # if self.__pulseFound: |
|
1299 | 1298 | # self.__startIndex -= self.__nSamples |
|
1300 | 1299 | # |
|
1301 | 1300 | # #Finding Tx Pulse |
|
1302 | 1301 | # if not self.__pulseFound: |
|
1303 | 1302 | # indexFound = self.__findTxPulse(dataOut, channel) |
|
1304 | 1303 | # |
|
1305 | 1304 | # if indexFound == None: |
|
1306 | 1305 | # dataOut.flagNoData = True |
|
1307 | 1306 | # return |
|
1308 | 1307 | # |
|
1309 | 1308 | # self.__arrayBuffer = numpy.zeros((self.__nChannels, self.__newNSamples), dtype = numpy.complex) |
|
1310 | 1309 | # self.__pulseFound = True |
|
1311 | 1310 | # self.__startIndex = indexFound |
|
1312 | 1311 | # |
|
1313 | 1312 | # #If pulse was found ... |
|
1314 | 1313 | # for thisChannel in range(self.__nChannels): |
|
1315 | 1314 | # bufferByChannel = self.__bufferList[thisChannel] |
|
1316 | 1315 | # #print self.__startIndex |
|
1317 | 1316 | # x = numpy.array(bufferByChannel) |
|
1318 | 1317 | # self.__arrayBuffer[thisChannel] = x[self.__startIndex:self.__startIndex+self.__newNSamples] |
|
1319 | 1318 | # |
|
1320 | 1319 | # deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
1321 | 1320 | # dataOut.heightList = numpy.arange(self.__newNSamples)*deltaHeight |
|
1322 | 1321 | # # dataOut.ippSeconds = (self.__newNSamples / deltaHeight)/1e6 |
|
1323 | 1322 | # |
|
1324 | 1323 | # dataOut.data = self.__arrayBuffer |
|
1325 | 1324 | # |
|
1326 | 1325 | # self.__startIndex += self.__newNSamples |
|
1327 | 1326 | # |
|
1328 | 1327 | # return |
|
1 | NO CONTENT: modified file |
|
1 | NO CONTENT: modified file |
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