@@ -1,276 +1,277 | |||
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1 | 1 | ''' |
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2 | 2 | Created on June 5, 2012 |
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3 | 3 | |
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4 | 4 | $Author$ |
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5 | 5 | $Id$ |
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6 | 6 | ''' |
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7 | 7 | |
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8 | 8 | import os |
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9 | 9 | import sys |
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10 | 10 | import datetime |
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11 | 11 | import ConfigParser |
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12 | 12 | |
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13 | 13 | path = os.path.split(os.getcwd())[0] |
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14 | 14 | sys.path.append(path) |
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15 | 15 | |
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16 | 16 | from Model.Voltage import Voltage |
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17 | 17 | from IO.VoltageIO import * |
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18 | 18 | |
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19 | 19 | from Model.Spectra import Spectra |
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20 | 20 | from IO.SpectraIO import * |
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21 | 21 | |
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22 | 22 | from Processing.VoltageProcessor import * |
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23 | 23 | from Processing.SpectraProcessor import * |
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24 | 24 | |
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25 | 25 | class Operation: |
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26 | 26 | def __init__(self,name,parameters): |
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27 | 27 | self.name = name |
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28 | 28 | self.parameters = [] |
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29 | 29 | parametersList = parameters.split(',') |
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30 | 30 | nparms = len(parametersList)/2 |
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31 | 31 | for id in range(nparms): |
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32 | 32 | parmtype = parametersList[id*2] |
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33 | 33 | value = parametersList[id*2+1] |
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34 | 34 | if value == 'None': |
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35 | 35 | value = None |
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36 | 36 | else: |
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37 | 37 | if parmtype == 'int': |
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38 | 38 | value = int(value) |
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39 | 39 | elif parmtype == 'float': |
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40 | 40 | value = float(value) |
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41 | 41 | elif parmtype == 'str': |
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42 | 42 | value = str(value) |
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43 | 43 | elif parmtype == 'datetime': |
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44 | 44 | value = value.split('-'); value = numpy.asarray(value,dtype=numpy.int32) |
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45 | 45 | value = datetime.datetime(value[0],value[1],value[2],value[3],value[4],value[5]) |
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46 | 46 | else: |
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47 | 47 | value = None |
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48 | 48 | |
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49 | 49 | self.parameters.append(value) |
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50 | 50 | |
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51 | 51 | |
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52 | 52 | class ExecUnit: |
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53 | 53 | def __init__(self,): |
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54 | 54 | self.id = None |
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55 | 55 | self.type = None |
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56 | 56 | self.execObjIn = None |
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57 | 57 | self.execObjOut = None |
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58 | 58 | self.execProcObj = None |
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59 | 59 | self.input = None |
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60 | 60 | self.operationList = [] |
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61 | 61 | self.flagSetIO = False |
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62 | 62 | |
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63 | 63 | def setIO(self): |
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64 | 64 | self.execProcObj.setIO(self.execObjIn,self.execObjOut) |
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65 | 65 | self.flagSetIO = True |
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66 | 66 | |
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67 | 67 | |
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68 | 68 | def Pfunction(self,name): |
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69 | 69 | |
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70 | 70 | def setup(*args): |
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71 | 71 | inputs = args[0] |
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72 | 72 | if self.type == 'VoltageReader': |
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73 | 73 | path = inputs[0] |
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74 | 74 | startDateTime = inputs[1] |
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75 | 75 | endDateTime = inputs[2] |
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76 | 76 | set = inputs[3] |
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77 | 77 | expLabel = inputs[4] |
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78 | 78 | ext = inputs[5] |
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79 | 79 | online = inputs[6] |
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80 | 80 | |
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81 | 81 | return self.execProcObj.setup(path,startDateTime,endDateTime,set,expLabel,ext,online) |
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82 | 82 | |
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83 | 83 | if self.type == 'Voltage': |
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84 | 84 | return self.execProcObj.setup() |
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85 | 85 | |
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86 | 86 | if self.type == 'Spectra': |
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87 | 87 | nFFTPoints = inputs[0] |
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88 | 88 | pairList = inputs[1] |
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89 | 89 | return self.execProcObj.setup(nFFTPoints,pairList) |
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90 | 90 | |
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91 | 91 | def getData(*args): |
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92 | 92 | |
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93 | 93 | return self.execProcObj.getData() |
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94 | 94 | |
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95 | 95 | def init(*args): |
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96 | 96 | inputs = args[0] |
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97 | 97 | |
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98 | 98 | parm1 = inputs[0] |
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99 | 99 | |
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100 | 100 | if self.type == 'Voltage': |
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101 | 101 | return self.execProcObj.init() |
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102 | 102 | |
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103 | 103 | if self.type == 'Spectra': |
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104 | 104 | return self.execProcObj.init() |
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105 | 105 | |
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106 | 106 | |
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107 | 107 | def plotData(*args): |
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108 | 108 | inputs = args[0] |
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109 | 109 | |
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110 | 110 | if self.type == 'Voltage': |
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111 | 111 | xmin = inputs[0] |
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112 | 112 | xmax = inputs[1] |
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113 | 113 | ymin = inputs[2] |
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114 | 114 | ymax = inputs[3] |
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115 | 115 | type = inputs[4] |
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116 | 116 | winTitle = inputs[5] |
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117 | 117 | index = inputs[6] |
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118 | 118 | |
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119 | 119 | return self.execProcObj.plotData(xmin,xmax,ymin,ymax,type,winTitle,index) |
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120 | 120 | |
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121 | 121 | if self.type == 'Spectra': |
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122 | 122 | xmin = inputs[0] |
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123 | 123 | xmax = inputs[1] |
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124 | 124 | ymin = inputs[2] |
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125 | 125 | ymax = inputs[3] |
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126 | 126 | winTitle = inputs[4] |
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127 | 127 | index = inputs[5] |
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128 | 128 | |
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129 | 129 | return self.execProcObj.plotData(xmin,xmax,ymin,ymax,winTitle,index) |
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130 | 130 | |
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131 | 131 | def integrator(*args): |
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132 | 132 | inputs = args[0] |
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133 | 133 | N = inputs[0] |
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134 | self.execProcObj.integrator(N) | |
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134 | timeInterval = inputs[1] | |
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135 | self.execProcObj.integrator(N, timeInterval) | |
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135 | 136 | |
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136 | 137 | pfuncDict = { "setup": setup, |
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137 | 138 | "getdata": getData, |
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138 | 139 | "init": init, |
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139 | 140 | "plotdata": plotData, |
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140 | 141 | "integrator": integrator} |
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141 | 142 | |
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142 | 143 | return pfuncDict[name] |
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143 | 144 | |
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144 | 145 | |
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145 | 146 | def run(self): |
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146 | 147 | nopers = len(self.operationList) |
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147 | 148 | for idOper in range(nopers): |
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148 | 149 | operObj = self.operationList[idOper] |
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149 | 150 | self.Pfunction(operObj.name)(operObj.parameters) |
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150 | 151 | |
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151 | 152 | |
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152 | 153 | class Controller: |
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153 | 154 | |
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154 | 155 | def __init__(self): |
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155 | 156 | self.sectionList = None |
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156 | 157 | self.execUnitList = None |
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157 | 158 | self.execObjList = None |
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158 | 159 | self.readConfigFile() |
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159 | 160 | self.createObjects() |
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160 | 161 | self.setupOjects() |
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161 | 162 | self.start() |
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162 | 163 | |
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163 | 164 | def readConfigFile(self, filename='experiment.cfg'): |
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164 | 165 | |
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165 | 166 | parser = ConfigParser.SafeConfigParser() |
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166 | 167 | parser.read(filename) |
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167 | 168 | self.sectionList = parser.sections() |
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168 | 169 | self.execUnitList = [] |
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169 | 170 | |
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170 | 171 | for section_name in self.sectionList: |
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171 | 172 | itemList = parser.items(section_name) |
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172 | 173 | self.execUnitList.append(itemList) |
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173 | 174 | |
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174 | 175 | |
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175 | 176 | |
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176 | 177 | def createObjects(self): |
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177 | 178 | self.execObjList = [] |
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178 | 179 | |
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179 | 180 | for itemList in self.execUnitList: |
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180 | 181 | execObj = ExecUnit() |
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181 | 182 | for item in itemList: |
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182 | 183 | name, value = item[0], item[1] |
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183 | 184 | |
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184 | 185 | if name == 'id': |
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185 | 186 | execObj.id = int(value) |
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186 | 187 | continue |
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187 | 188 | |
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188 | 189 | if name == 'type': |
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189 | 190 | execObj.type = value |
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190 | 191 | |
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191 | 192 | if value == 'VoltageReader': |
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192 | 193 | execObj.execObjOut = Voltage() |
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193 | 194 | execObj.execProcObj = VoltageReader(execObj.execObjOut) |
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194 | 195 | |
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195 | 196 | |
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196 | 197 | if value == 'SpectraReader': |
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197 | 198 | execObj.execObjOut = Spectra() |
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198 | 199 | execObj.execProcObj = SpectraReader(execObj.execObjOut) |
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199 | 200 | |
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200 | 201 | |
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201 | 202 | if value == 'CorrelationReader': |
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202 | 203 | execObj.execObjOut = Correlation() |
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203 | 204 | execObj.execProcObj = CorrelationReader(execObj.execObjOut) |
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204 | 205 | |
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205 | 206 | |
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206 | 207 | if value == 'Voltage': |
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207 | 208 | execObj.execProcObj = VoltageProcessor() |
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208 | 209 | execObj.execObjOut = Voltage() |
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209 | 210 | |
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210 | 211 | if value == 'Spectra': |
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211 | 212 | execObj.execProcObj = SpectraProcessor() |
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212 | 213 | execObj.execObjOut = Spectra() |
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213 | 214 | |
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214 | 215 | if value == 'Correlation': |
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215 | 216 | execObj.execProcObj = CorrelationProcessor() |
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216 | 217 | execObj.execObjOut = Correlation() |
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217 | 218 | |
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218 | 219 | elif name == 'input': |
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219 | 220 | execObj.input = int(value) |
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220 | 221 | |
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221 | 222 | else: |
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222 | 223 | operObj = Operation(name,value) |
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223 | 224 | |
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224 | 225 | if name != 'setup': |
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225 | 226 | execObj.operationList.append(operObj) |
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226 | 227 | else: |
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227 | 228 | execObj.Pfunction(name)(operObj.parameters) |
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228 | 229 | |
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229 | 230 | del(operObj) |
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230 | 231 | |
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231 | 232 | self.execObjList.append(execObj) |
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232 | 233 | del(execObj) |
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233 | 234 | |
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234 | 235 | |
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235 | 236 | |
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236 | 237 | def setupOjects(self): |
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237 | 238 | for objIndex in range(len(self.execObjList)): |
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238 | 239 | currExecObj = self.execObjList[objIndex] |
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239 | 240 | |
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240 | 241 | if not(currExecObj.type in ['VoltageReader','SpectraReader','CorrelationReader']): |
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241 | 242 | |
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242 | 243 | idSearch = currExecObj.input |
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243 | 244 | |
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244 | 245 | for objIndex2 in range(len(self.execObjList)): |
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245 | 246 | |
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246 | 247 | lastExecObj = self.execObjList[objIndex2] # este objeto si puede ser un readerl |
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247 | 248 | |
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248 | 249 | if lastExecObj.id == idSearch and currExecObj.flagSetIO == False: |
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249 | 250 | currExecObj.execObjIn = lastExecObj.execObjOut |
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250 | 251 | currExecObj.setIO() |
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251 | 252 | |
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252 | 253 | |
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253 | 254 | |
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254 | 255 | |
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255 | 256 | |
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256 | 257 | |
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257 | 258 | def start(self): |
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258 | 259 | |
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259 | 260 | while(True): |
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260 | 261 | for indexObj in range(len(self.execObjList)): |
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261 | 262 | ExecObj = self.execObjList[indexObj] |
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262 | 263 | ExecObj.run() |
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263 | 264 | |
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264 | 265 | readExecObj = self.execObjList[0] # se asume que el primer elemento es un Reader |
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265 | 266 | if readExecObj.execProcObj.flagNoMoreFiles: |
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266 | 267 | break |
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267 | 268 | if readExecObj.execProcObj.flagIsNewBlock: |
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268 | 269 | print 'Block No %04d, Time: %s' %(readExecObj.execProcObj.nTotalBlocks, |
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269 | 270 | datetime.datetime.fromtimestamp(readExecObj.execProcObj.m_BasicHeader.utc),) |
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270 | 271 | |
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271 | 272 | |
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272 | 273 | |
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273 | 274 | |
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274 | 275 | if __name__ == '__main__': |
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275 | 276 | Controller() |
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276 | 277 | No newline at end of file |
@@ -1,23 +1,23 | |||
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1 | 1 | [Read0] |
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2 | 2 | id = 0 |
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3 | 3 | type = VoltageReader |
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4 | 4 | setup = str,/Users/jro/Documents/RadarData/EW_Drifts,datetime,2011-11-20-0-0-1,datetime,2011-12-31-0-0-1,int,0,str,,str,None,int,0 |
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5 | 5 | getData = None,None |
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6 | 6 | |
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7 | 7 | [Processing0] |
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8 | 8 | id = 1 |
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9 | 9 | type = Voltage |
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10 | 10 | input = 0 |
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11 | 11 | setup = None,None |
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12 | 12 | init = None,None |
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13 |
integrator = int, |
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14 | ||
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13 | integrator = int,4,None,None | |
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14 | plotData = float,None,float,None,float,None,float,None,str,iq,str,Test Data Voltage 2,int,1 | |
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15 | 15 | |
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16 | 16 | [Processing1] |
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17 | 17 | id = 2 |
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18 | 18 | type = Spectra |
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19 | 19 | input = 1 |
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20 |
setup = int, |
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20 | setup = int,8,None,None | |
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21 | 21 | init = None,None |
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22 |
integrator = int, |
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23 |
plotData = float,None,float,None,float,None,float,None,str,Test Spectra Data,int, |
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22 | integrator = int,4,int,3 | |
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23 | plotData = float,None,float,None,float,None,float,None,str,Test Spectra Data,int,2 |
@@ -1,207 +1,204 | |||
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1 | 1 | ''' |
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2 | 2 | Created on Feb 7, 2012 |
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3 | 3 | |
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4 | 4 | @author $Author$ |
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5 | 5 | @version $Id$ |
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6 | 6 | ''' |
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7 | 7 | import os, sys |
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8 | 8 | import numpy |
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9 | 9 | import plplot |
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10 | 10 | |
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11 | 11 | path = os.path.split(os.getcwd())[0] |
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12 | 12 | sys.path.append(path) |
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13 | 13 | |
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14 | 14 | from Graphics.BaseGraph import * |
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15 | 15 | from Model.Voltage import Voltage |
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16 | 16 | |
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17 | 17 | class Osciloscope: |
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18 | 18 | |
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19 | 19 | voltageObj = Voltage() |
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20 | 20 | |
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21 | 21 | linearGraphObj = LinearPlot() |
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22 | 22 | |
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23 | 23 | __isPlotConfig = False |
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24 | 24 | |
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25 | 25 | __isPlotIni = False |
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26 | 26 | |
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27 | 27 | __xrange = None |
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28 | 28 | |
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29 | 29 | __yrange = None |
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30 | 30 | |
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31 | 31 | voltageObj = Voltage() |
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32 | 32 | |
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33 | 33 | nGraphs = 0 |
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34 | 34 | |
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35 | 35 | indexPlot = None |
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36 | 36 | |
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37 | 37 | graphObjList = [] |
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38 | 38 | m_LinearPlot= LinearPlot() |
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39 | 39 | |
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40 | 40 | |
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41 | 41 | m_Voltage= Voltage() |
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42 | 42 | |
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43 | 43 | |
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44 | 44 | |
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45 | 45 | def __init__(self, Voltage, index=0): |
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46 | 46 | |
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47 | 47 | """ |
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48 | 48 | |
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49 | 49 | Inputs: |
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50 | 50 | |
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51 | 51 | type: "power" ->> Potencia |
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52 | 52 | "iq" ->> Real + Imaginario |
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53 | 53 | """ |
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54 | 54 | |
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55 | 55 | self.__isPlotConfig = False |
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56 | 56 | |
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57 | 57 | self.__isPlotIni = False |
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58 | 58 | |
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59 | 59 | self.__xrange = None |
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60 | 60 | |
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61 | 61 | self.__yrange = None |
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62 | 62 | |
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63 | 63 | self.voltageObj = None |
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64 | 64 | |
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65 | 65 | self.nGraphs = 0 |
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66 | 66 | |
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67 | 67 | self.indexPlot = index |
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68 | 68 | |
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69 | 69 | self.graphObjList = [] |
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70 | 70 | |
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71 | 71 | self.voltageObj = Voltage |
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72 | 72 | |
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73 | 73 | |
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74 | 74 | def __addGraph(self, subpage, title="", xlabel="", ylabel="", XAxisAsTime=False): |
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75 | 75 | |
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76 | 76 | graphObj = LinearPlot() |
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77 | 77 | graphObj.setup(subpage, title="", xlabel="", ylabel="", XAxisAsTime=False) |
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78 | 78 | #graphObj.setScreenPos() |
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79 | 79 | |
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80 | 80 | self.graphObjList.append(graphObj) |
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81 | 81 | |
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82 | 82 | del graphObj |
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83 | 83 | |
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84 | 84 | # def setXRange(self, xmin, xmax): |
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85 | 85 | # self.__xrange = (xmin, xmax) |
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86 | 86 | # |
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87 | 87 | # def setYRange(self, ymin, ymax): |
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88 | 88 | # self.__yrange = (ymin, ymax) |
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89 | 89 | |
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90 | 90 | |
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91 | 91 | def setup(self, titleList=None, xlabelList=None, ylabelList=None, XAxisAsTime=False): |
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92 | 92 | |
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93 | 93 | nChan = int(self.voltageObj.m_SystemHeader.numChannels) |
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94 | 94 | |
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95 | 95 | myTitle = "" |
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96 | 96 | myXlabel = "" |
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97 | 97 | myYlabel = "" |
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98 | 98 | |
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99 | 99 | for chan in range(nChan): |
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100 | 100 | if titleList != None: |
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101 | 101 | myTitle = titleList[chan] |
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102 | 102 | myXlabel = xlabelList[chan] |
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103 | 103 | myYlabel = ylabelList[chan] |
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104 | 104 | |
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105 | 105 | self.__addGraph(chan+1, title=myTitle, xlabel=myXlabel, ylabel=myYlabel, XAxisAsTime=XAxisAsTime) |
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106 | 106 | |
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107 | 107 | self.nGraphs = nChan |
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108 | 108 | self.__isPlotConfig = True |
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109 | 109 | |
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110 | 110 | def iniPlot(self, winTitle=""): |
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111 | 111 | |
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112 | 112 | plplot.plsstrm(self.indexPlot) |
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113 | 113 | plplot.plparseopts([winTitle], plplot.PL_PARSE_FULL) |
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114 | 114 | plplot.plsetopt("geometry", "%dx%d" %(700, 115*self.nGraphs)) |
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115 | 115 | plplot.plsdev("xwin") |
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116 | 116 | plplot.plscolbg(255,255,255) |
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117 | 117 | plplot.plscol0(1,0,0,0) |
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118 | 118 | plplot.plinit() |
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119 | 119 | plplot.plspause(False) |
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120 | 120 | plplot.plssub(1, self.nGraphs) |
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121 | 121 | |
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122 | 122 | self.__isPlotIni = True |
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123 | 123 | |
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124 |
def plotData(self, xmin=None, xmax=None, ymin=None, ymax |
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125 | ||
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126 | if idProfile != None and idProfile != self.voltageObj.idProfile: | |
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127 | return | |
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124 | def plotData(self, xmin=None, xmax=None, ymin=None, ymax=None, titleList=None, xlabelList=None, ylabelList=None, XAxisAsTime=False, type='iq', winTitle="Voltage"): | |
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128 | 125 | |
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129 | 126 | if not(self.__isPlotConfig): |
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130 | 127 | self.setup(titleList, xlabelList, ylabelList, XAxisAsTime) |
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131 | 128 | |
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132 | 129 | if not(self.__isPlotIni): |
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133 | 130 | self.iniPlot(winTitle) |
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134 | 131 | |
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135 | 132 | plplot.plsstrm(self.indexPlot) |
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136 | 133 | |
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137 | 134 | data = self.voltageObj.data |
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138 | 135 | |
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139 | x = self.voltageObj.heights | |
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136 | x = self.voltageObj.heightList | |
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140 | 137 | |
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141 | 138 | if xmin == None: xmin = x[0] |
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142 | 139 | if xmax == None: xmax = x[-1] |
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143 | 140 | if ymin == None: ymin = numpy.nanmin(abs(data)) |
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144 | 141 | if ymax == None: ymax = numpy.nanmax(abs(data)) |
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145 | 142 | |
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146 | 143 | plplot.plbop() |
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147 | 144 | for chan in range(self.nGraphs): |
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148 | 145 | y = data[chan,:] |
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149 | 146 | |
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150 | 147 | self.graphObjList[chan].plotComplexData(x, y, xmin, xmax, ymin, ymax, 8, type) |
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151 | 148 | |
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152 | 149 | plplot.plflush() |
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153 | 150 | plplot.pleop() |
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154 | 151 | |
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155 | 152 | def end(self): |
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156 | 153 | plplot.plend() |
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157 | 154 | |
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158 | 155 | class VoltagePlot(object): |
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159 | 156 | ''' |
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160 | 157 | classdocs |
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161 | 158 | ''' |
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162 | 159 | |
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163 | 160 | __m_Voltage = None |
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164 | 161 | |
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165 | 162 | def __init__(self, voltageObj): |
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166 | 163 | ''' |
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167 | 164 | Constructor |
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168 | 165 | ''' |
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169 | 166 | self.__m_Voltage = voltageObj |
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170 | 167 | |
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171 | 168 | def setup(self): |
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172 | 169 | pass |
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173 | 170 | |
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174 | 171 | def addGraph(self, type, xrange=None, yrange=None, zrange=None): |
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175 | 172 | pass |
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176 | 173 | |
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177 | 174 | def plotData(self): |
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178 | 175 | pass |
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179 | 176 | |
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180 | 177 | if __name__ == '__main__': |
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181 | 178 | |
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182 | 179 | import numpy |
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183 | 180 | |
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184 | 181 | plplot.plsetopt("geometry", "%dx%d" %(450*2, 200*2)) |
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185 | 182 | plplot.plsdev("xcairo") |
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186 | 183 | plplot.plscolbg(255,255,255) |
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187 | 184 | plplot.plscol0(1,0,0,0) |
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188 | 185 | plplot.plinit() |
|
189 | 186 | plplot.plssub(1, 2) |
|
190 | 187 | |
|
191 | 188 | nx = 64 |
|
192 | 189 | ny = 100 |
|
193 | 190 | |
|
194 | 191 | data = numpy.random.uniform(-50,50,(nx,ny)) |
|
195 | 192 | |
|
196 | 193 | baseObj = RTI() |
|
197 | 194 | baseObj.setup(1, "Spectrum", "Frequency", "Range", "br_green", False, False) |
|
198 | 195 | baseObj.plotData(data) |
|
199 | 196 | |
|
200 | 197 | data = numpy.random.uniform(-50,50,(nx,ny)) |
|
201 | 198 | |
|
202 | 199 | base2Obj = RTI() |
|
203 | 200 | base2Obj.setup(2, "Spectrum", "Frequency", "Range", "br_green", True, True) |
|
204 | 201 | base2Obj.plotData(data) |
|
205 | 202 | |
|
206 | 203 | plplot.plend() |
|
207 | 204 | exit(0) No newline at end of file |
@@ -1,76 +1,78 | |||
|
1 | 1 | ''' |
|
2 | 2 | Created on Feb 7, 2012 |
|
3 | 3 | |
|
4 | 4 | @author $Author$ |
|
5 | 5 | @version $Id$ |
|
6 | 6 | ''' |
|
7 | 7 | |
|
8 | 8 | from JROData import JROData, Noise |
|
9 | 9 | from JROHeader import RadarControllerHeader, ProcessingHeader, SystemHeader, BasicHeader |
|
10 | 10 | |
|
11 | 11 | class Spectra(JROData): |
|
12 | 12 | ''' |
|
13 | 13 | classdocs |
|
14 | 14 | ''' |
|
15 | 15 | |
|
16 | 16 | data_spc = None |
|
17 | 17 | |
|
18 | 18 | data_cspc = None |
|
19 | 19 | |
|
20 | 20 | data_dc = None |
|
21 | 21 | |
|
22 | 22 | nFFTPoints = None |
|
23 | 23 | |
|
24 | 24 | nPairs = None |
|
25 | 25 | |
|
26 | 26 | pairsList = None |
|
27 | 27 | |
|
28 | 28 | |
|
29 | 29 | def __init__(self): |
|
30 | 30 | ''' |
|
31 | 31 | Constructor |
|
32 | 32 | ''' |
|
33 | 33 | |
|
34 | 34 | self.m_RadarControllerHeader = RadarControllerHeader() |
|
35 | 35 | |
|
36 | 36 | self.m_ProcessingHeader = ProcessingHeader() |
|
37 | 37 | |
|
38 | 38 | self.m_SystemHeader = SystemHeader() |
|
39 | 39 | |
|
40 | 40 | self.m_BasicHeader = BasicHeader() |
|
41 | 41 | |
|
42 | 42 | self.m_NoiseObj = Noise() |
|
43 | 43 | |
|
44 | 44 | self.type = "Spectra" |
|
45 | 45 | |
|
46 | 46 | self.dataType = None |
|
47 | 47 | |
|
48 | 48 | self.nHeights = 0 |
|
49 | 49 | |
|
50 | 50 | self.nChannels = 0 |
|
51 | 51 | |
|
52 | 52 | self.channelList = None |
|
53 | 53 | |
|
54 | 54 | self.heightList = None |
|
55 | 55 | |
|
56 | 56 | self.flagNoData = True |
|
57 | 57 | |
|
58 | 58 | self.flagResetProcessing = False |
|
59 | 59 | |
|
60 | 60 | |
|
61 | 61 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
|
62 | 62 | self.data_spc = None |
|
63 | 63 | |
|
64 | 64 | self.data_cspc = None |
|
65 | 65 | |
|
66 | 66 | self.data_dc = None |
|
67 | 67 | |
|
68 | 68 | self.nFFTPoints = None |
|
69 | 69 | |
|
70 | self.nAvg = None | |
|
71 | ||
|
70 | 72 | self.nPairs = 0 |
|
71 | 73 | |
|
72 | 74 | self.pairsList = None |
|
73 | 75 | |
|
74 | 76 | |
|
75 | 77 | |
|
76 | 78 | No newline at end of file |
@@ -1,63 +1,63 | |||
|
1 | 1 | ''' |
|
2 | 2 | Created on Feb 7, 2012 |
|
3 | 3 | |
|
4 | 4 | @author $Author$ |
|
5 | 5 | @version $Id$ |
|
6 | 6 | ''' |
|
7 | 7 | |
|
8 | 8 | from JROData import JROData, Noise |
|
9 | 9 | from JROHeader import RadarControllerHeader, ProcessingHeader, SystemHeader, BasicHeader |
|
10 | 10 | |
|
11 | 11 | class Voltage(JROData): |
|
12 | 12 | ''' |
|
13 | 13 | classdocs |
|
14 | 14 | ''' |
|
15 | 15 | |
|
16 | 16 | data = None |
|
17 | 17 | |
|
18 | 18 | nProfiles = None |
|
19 | 19 | |
|
20 | 20 | profileIndex = None |
|
21 | 21 | |
|
22 | 22 | def __init__(self): |
|
23 | 23 | ''' |
|
24 | 24 | Constructor |
|
25 | 25 | ''' |
|
26 | 26 | |
|
27 | 27 | self.m_RadarControllerHeader = RadarControllerHeader() |
|
28 | 28 | |
|
29 | 29 | self.m_ProcessingHeader = ProcessingHeader() |
|
30 | 30 | |
|
31 | 31 | self.m_SystemHeader = SystemHeader() |
|
32 | 32 | |
|
33 | 33 | self.m_BasicHeader = BasicHeader() |
|
34 | 34 | |
|
35 | 35 | self.m_NoiseObj = Noise() |
|
36 | 36 | |
|
37 | 37 | self.type = "Voltage" |
|
38 | 38 | |
|
39 | 39 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
|
40 | 40 | self.data = None |
|
41 | 41 | |
|
42 | 42 | self.dataType = None |
|
43 | 43 | |
|
44 | 44 | self.nHeights = 0 |
|
45 | 45 | |
|
46 | 46 | self.nChannels = 0 |
|
47 | 47 | |
|
48 | 48 | self.channelList = None |
|
49 | 49 | |
|
50 | 50 | self.heightList = None |
|
51 | 51 | |
|
52 | 52 | self.flagNoData = True |
|
53 | 53 | |
|
54 | 54 | self.flagResetProcessing = False |
|
55 | 55 | |
|
56 | ||
|
56 | self.nAvg = None | |
|
57 | 57 | |
|
58 | 58 | self.profileIndex = None |
|
59 | 59 | |
|
60 | 60 | self.nProfiles = None |
|
61 | 61 | |
|
62 | 62 | |
|
63 | 63 | No newline at end of file |
@@ -1,569 +1,620 | |||
|
1 | 1 | ''' |
|
2 | 2 | Created on Feb 7, 2012 |
|
3 | 3 | |
|
4 | 4 | @author $Author$ |
|
5 | 5 | @version $Id$ |
|
6 | 6 | ''' |
|
7 | 7 | import os, sys |
|
8 | 8 | import numpy |
|
9 | 9 | |
|
10 | 10 | path = os.path.split(os.getcwd())[0] |
|
11 | 11 | sys.path.append(path) |
|
12 | 12 | |
|
13 | 13 | from Model.Spectra import Spectra |
|
14 | 14 | from IO.SpectraIO import SpectraWriter |
|
15 | 15 | from Graphics.SpectraPlot import Spectrum |
|
16 | 16 | |
|
17 | 17 | |
|
18 | 18 | class SpectraProcessor: |
|
19 | 19 | ''' |
|
20 | 20 | classdocs |
|
21 | 21 | ''' |
|
22 | 22 | |
|
23 | 23 | dataInObj = None |
|
24 | 24 | |
|
25 | 25 | dataOutObj = None |
|
26 | 26 | |
|
27 | 27 | integratorObjIndex = None |
|
28 | 28 | |
|
29 | 29 | decoderObjIndex = None |
|
30 | 30 | |
|
31 | 31 | writerObjIndex = None |
|
32 | 32 | |
|
33 | 33 | plotterObjIndex = None |
|
34 | 34 | |
|
35 | 35 | integratorObjList = [] |
|
36 | 36 | |
|
37 | 37 | decoderObjList = [] |
|
38 | 38 | |
|
39 | 39 | writerObjList = [] |
|
40 | 40 | |
|
41 | 41 | plotterObjList = [] |
|
42 | 42 | |
|
43 | 43 | buffer = None |
|
44 | 44 | |
|
45 | 45 | ptsId = 0 |
|
46 | 46 | |
|
47 | 47 | nFFTPoints = None |
|
48 | 48 | |
|
49 | 49 | pairList = None |
|
50 | 50 | |
|
51 | 51 | |
|
52 | 52 | def __init__(self, dataInObj=None, dataOutObj=None): |
|
53 | 53 | ''' |
|
54 | 54 | Constructor |
|
55 | 55 | ''' |
|
56 | 56 | self.dataInObj = dataInObj |
|
57 | 57 | |
|
58 | 58 | if dataOutObj == None: |
|
59 | 59 | self.dataOutObj = Spectra() |
|
60 | 60 | else: |
|
61 | 61 | self.dataOutObj = dataOutObj |
|
62 | 62 | |
|
63 | 63 | self.integratorObjIndex = None |
|
64 | 64 | self.decoderObjIndex = None |
|
65 | 65 | self.writerObjIndex = None |
|
66 | 66 | self.plotterObjIndex = None |
|
67 | 67 | |
|
68 | 68 | self.integratorObjList = [] |
|
69 | 69 | self.decoderObjList = [] |
|
70 | 70 | self.writerObjList = [] |
|
71 | 71 | self.plotterObjList = [] |
|
72 | 72 | |
|
73 | 73 | self.buffer = None |
|
74 | 74 | self.ptsId = 0 |
|
75 | 75 | |
|
76 | 76 | def setIO(self,inputObject, outputObject): |
|
77 | 77 | |
|
78 | 78 | # if not( isinstance(inputObject, Voltage) ): |
|
79 | 79 | # print 'InputObject must be an instance from Voltage()' |
|
80 | 80 | # sys.exit(0) |
|
81 | 81 | |
|
82 | 82 | if not( isinstance(outputObject, Spectra) ): |
|
83 | 83 | print 'OutputObject must be an instance from Spectra()' |
|
84 | 84 | sys.exit(0) |
|
85 | 85 | |
|
86 | 86 | self.dataInObj = inputObject |
|
87 | 87 | self.dataOutObj = outputObject |
|
88 | 88 | |
|
89 | 89 | def setup(self,nFFTPoints=None, pairList=None): |
|
90 | 90 | if nFFTPoints == None: |
|
91 | 91 | nFFTPoints = self.dataOutObj.nFFTPoints |
|
92 | 92 | |
|
93 | 93 | self.nFFTPoints = nFFTPoints |
|
94 | 94 | self.pairList = pairList |
|
95 | 95 | |
|
96 | 96 | # def init(self, nFFTPoints, pairList=None): |
|
97 | 97 | def init(self): |
|
98 | 98 | |
|
99 | 99 | self.integratorObjIndex = 0 |
|
100 | 100 | self.decoderObjIndex = 0 |
|
101 | 101 | self.writerObjIndex = 0 |
|
102 | 102 | self.plotterObjIndex = 0 |
|
103 | 103 | |
|
104 | 104 | # if nFFTPoints == None: |
|
105 | 105 | # nFFTPoints = self.dataOutObj.nFFTPoints |
|
106 | 106 | # |
|
107 | 107 | # self.nFFTPoints = nFFTPoints |
|
108 | 108 | # self.pairList = pairList |
|
109 | 109 | # |
|
110 | 110 | if not( isinstance(self.dataInObj, Spectra) ): |
|
111 | 111 | self.__getFft() |
|
112 | 112 | else: |
|
113 | 113 | self.dataOutObj.copy(self.dataInObj) |
|
114 | 114 | |
|
115 | 115 | |
|
116 | 116 | def __getFft(self): |
|
117 | 117 | """ |
|
118 | 118 | Convierte valores de Voltaje a Spectra |
|
119 | 119 | |
|
120 | 120 | Affected: |
|
121 | 121 | self.dataOutObj.data_spc |
|
122 | 122 | self.dataOutObj.data_cspc |
|
123 | 123 | self.dataOutObj.data_dc |
|
124 | 124 | self.dataOutObj.heightList |
|
125 | 125 | self.dataOutObj.m_BasicHeader |
|
126 | 126 | self.dataOutObj.m_ProcessingHeader |
|
127 | 127 | self.dataOutObj.m_RadarControllerHeader |
|
128 | 128 | self.dataOutObj.m_SystemHeader |
|
129 | 129 | self.ptsId |
|
130 | 130 | self.buffer |
|
131 | 131 | self.dataOutObj.flagNoData |
|
132 | 132 | self.dataOutObj.dataType |
|
133 | 133 | self.dataOutObj.nPairs |
|
134 | 134 | self.dataOutObj.nChannels |
|
135 | 135 | self.dataOutObj.nProfiles |
|
136 | 136 | self.dataOutObj.m_SystemHeader.numChannels |
|
137 | 137 | self.dataOutObj.m_ProcessingHeader.totalSpectra |
|
138 | 138 | self.dataOutObj.m_ProcessingHeader.profilesPerBlock |
|
139 | 139 | self.dataOutObj.m_ProcessingHeader.numHeights |
|
140 | 140 | self.dataOutObj.m_ProcessingHeader.spectraComb |
|
141 | 141 | self.dataOutObj.m_ProcessingHeader.shif_fft |
|
142 | 142 | """ |
|
143 | if self.dataInObj.flagNoData: | |
|
144 | return 0 | |
|
145 | ||
|
143 | 146 | blocksize = 0 |
|
144 | 147 | nFFTPoints = self.nFFTPoints |
|
145 | 148 | nChannels, nheis = self.dataInObj.data.shape |
|
146 | 149 | |
|
147 | 150 | if self.buffer == None: |
|
148 | 151 | self.buffer = numpy.zeros((nChannels, nFFTPoints, nheis), dtype='complex') |
|
149 | 152 | |
|
150 | 153 | self.buffer[:,self.ptsId,:] = self.dataInObj.data |
|
151 | 154 | self.ptsId += 1 |
|
152 | 155 | |
|
153 |
if self.ptsId < self. |
|
|
156 | if self.ptsId < self.nFFTPoints: | |
|
154 | 157 | self.dataOutObj.flagNoData = True |
|
155 | 158 | return |
|
156 | 159 | |
|
157 | 160 | fft_volt = numpy.fft.fft(self.buffer,axis=1) |
|
158 | 161 | dc = fft_volt[:,0,:] |
|
159 | 162 | |
|
160 | 163 | #calculo de self-spectra |
|
161 | 164 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) |
|
162 | 165 | spc = numpy.abs(fft_volt * numpy.conjugate(fft_volt)) |
|
163 | 166 | |
|
164 | 167 | blocksize += dc.size |
|
165 | 168 | blocksize += spc.size |
|
166 | 169 | |
|
167 | 170 | cspc = None |
|
168 | 171 | nPair = 0 |
|
169 | 172 | if self.pairList != None: |
|
170 | 173 | #calculo de cross-spectra |
|
171 | 174 | nPairs = len(self.pairList) |
|
172 | 175 | cspc = numpy.zeros((nPairs, nFFTPoints, nheis), dtype='complex') |
|
173 | 176 | for pair in self.pairList: |
|
174 | 177 | cspc[nPair,:,:] = numpy.abs(fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:])) |
|
175 | 178 | nPair += 1 |
|
176 | 179 | blocksize += cspc.size |
|
177 | 180 | |
|
178 | 181 | self.dataOutObj.data_spc = spc |
|
179 | 182 | self.dataOutObj.data_cspc = cspc |
|
180 | 183 | self.dataOutObj.data_dc = dc |
|
181 | 184 | |
|
182 | 185 | self.ptsId = 0 |
|
183 | 186 | self.buffer = None |
|
184 | 187 | self.dataOutObj.flagNoData = False |
|
185 | 188 | |
|
186 | 189 | self.dataOutObj.heightList = self.dataInObj.heightList |
|
187 | 190 | self.dataOutObj.channelList = self.dataInObj.channelList |
|
188 | 191 | self.dataOutObj.m_BasicHeader = self.dataInObj.m_BasicHeader.copy() |
|
189 | 192 | self.dataOutObj.m_ProcessingHeader = self.dataInObj.m_ProcessingHeader.copy() |
|
190 | 193 | self.dataOutObj.m_RadarControllerHeader = self.dataInObj.m_RadarControllerHeader.copy() |
|
191 | 194 | self.dataOutObj.m_SystemHeader = self.dataInObj.m_SystemHeader.copy() |
|
192 | 195 | |
|
193 | 196 | self.dataOutObj.dataType = self.dataInObj.dataType |
|
194 | 197 | self.dataOutObj.nPairs = nPair |
|
195 | 198 | self.dataOutObj.nChannels = nChannels |
|
196 | 199 | self.dataOutObj.nProfiles = nFFTPoints |
|
197 | 200 | self.dataOutObj.nHeights = nheis |
|
198 | 201 | self.dataOutObj.nFFTPoints = nFFTPoints |
|
199 | 202 | #self.dataOutObj.data = None |
|
200 | 203 | |
|
201 | 204 | self.dataOutObj.m_SystemHeader.numChannels = nChannels |
|
202 | 205 | self.dataOutObj.m_SystemHeader.nProfiles = nFFTPoints |
|
203 | 206 | |
|
204 | 207 | self.dataOutObj.m_ProcessingHeader.blockSize = blocksize |
|
205 | 208 | self.dataOutObj.m_ProcessingHeader.totalSpectra = nChannels + nPair |
|
206 | 209 | self.dataOutObj.m_ProcessingHeader.profilesPerBlock = nFFTPoints |
|
207 | 210 | self.dataOutObj.m_ProcessingHeader.numHeights = nheis |
|
208 | 211 | self.dataOutObj.m_ProcessingHeader.shif_fft = True |
|
209 | 212 | |
|
210 | 213 | spectraComb = numpy.zeros( (nChannels+nPair)*2,numpy.dtype('u1')) |
|
211 | 214 | k = 0 |
|
212 | 215 | for i in range( 0,nChannels*2,2 ): |
|
213 | 216 | spectraComb[i] = k |
|
214 | 217 | spectraComb[i+1] = k |
|
215 | 218 | k += 1 |
|
216 | 219 | |
|
217 | 220 | k *= 2 |
|
218 | 221 | |
|
219 | 222 | if self.pairList != None: |
|
220 | 223 | |
|
221 | 224 | for pair in self.pairList: |
|
222 | 225 | spectraComb[k] = pair[0] |
|
223 | 226 | spectraComb[k+1] = pair[1] |
|
224 | 227 | k += 2 |
|
225 | 228 | |
|
226 | 229 | self.dataOutObj.m_ProcessingHeader.spectraComb = spectraComb |
|
227 | 230 | |
|
228 | 231 | |
|
229 | 232 | def addWriter(self,wrpath): |
|
230 | 233 | objWriter = SpectraWriter(self.dataOutObj) |
|
231 | 234 | objWriter.setup(wrpath) |
|
232 | 235 | self.writerObjList.append(objWriter) |
|
233 | 236 | |
|
234 | 237 | |
|
235 | 238 | def addPlotter(self, index=None): |
|
236 | 239 | |
|
237 | 240 | if index==None: |
|
238 | 241 | index = self.plotterObjIndex |
|
239 | 242 | |
|
240 | 243 | plotObj = Spectrum(self.dataOutObj, index) |
|
241 | 244 | self.plotterObjList.append(plotObj) |
|
242 | 245 | |
|
243 | 246 | |
|
244 | def addIntegrator(self,N): | |
|
247 | def addIntegrator(self,N,timeInterval): | |
|
245 | 248 | |
|
246 | objIncohInt = IncoherentIntegration(N) | |
|
249 | objIncohInt = IncoherentIntegration(N,timeInterval) | |
|
247 | 250 | self.integratorObjList.append(objIncohInt) |
|
248 | 251 | |
|
249 | ||
|
250 | 252 | def writeData(self, wrpath): |
|
251 | 253 | if self.dataOutObj.flagNoData: |
|
252 | 254 | return 0 |
|
253 | 255 | |
|
254 | 256 | if len(self.writerObjList) <= self.writerObjIndex: |
|
255 | 257 | self.addWriter(wrpath) |
|
256 | 258 | |
|
257 | 259 | self.writerObjList[self.writerObjIndex].putData() |
|
258 | 260 | |
|
259 | 261 | self.writerObjIndex += 1 |
|
260 | 262 | |
|
261 | 263 | def plotData(self,xmin=None, xmax=None, ymin=None, ymax=None, winTitle='', index=None): |
|
262 | 264 | if self.dataOutObj.flagNoData: |
|
263 | 265 | return 0 |
|
264 | 266 | |
|
265 | 267 | if len(self.plotterObjList) <= self.plotterObjIndex: |
|
266 | 268 | self.addPlotter(index) |
|
267 | 269 | |
|
268 | 270 | self.plotterObjList[self.plotterObjIndex].plotData(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,winTitle=winTitle) |
|
269 | 271 | |
|
270 | 272 | self.plotterObjIndex += 1 |
|
271 | 273 | |
|
272 | def integrator(self, N): | |
|
274 | def integrator(self, N=None, timeInterval=None): | |
|
275 | ||
|
273 | 276 | if self.dataOutObj.flagNoData: |
|
274 | 277 | return 0 |
|
275 | 278 | |
|
276 | 279 | if len(self.integratorObjList) <= self.integratorObjIndex: |
|
277 | self.addIntegrator(N) | |
|
280 | self.addIntegrator(N,timeInterval) | |
|
278 | 281 | |
|
279 |
my |
|
|
280 |
my |
|
|
282 | myIncohIntObj = self.integratorObjList[self.integratorObjIndex] | |
|
283 | myIncohIntObj.exe(data=self.dataOutObj.data_spc,timeOfData=self.dataOutObj.m_BasicHeader.utc) | |
|
281 | 284 | |
|
282 |
if my |
|
|
283 |
self.dataOutObj.data_spc = my |
|
|
284 |
self.dataOutObj. |
|
|
285 | if myIncohIntObj.isReady: | |
|
286 | self.dataOutObj.data_spc = myIncohIntObj.data | |
|
287 | self.dataOutObj.nAvg = myIncohIntObj.navg | |
|
288 | self.dataOutObj.m_ProcessingHeader.incoherentInt *= myIncohIntObj.navg | |
|
289 | #print "myIncohIntObj.navg: ",myIncohIntObj.navg | |
|
285 | 290 | self.dataOutObj.flagNoData = False |
|
286 | ||
|
291 | ||
|
287 | 292 | else: |
|
288 | 293 | self.dataOutObj.flagNoData = True |
|
289 | 294 | |
|
290 | 295 | self.integratorObjIndex += 1 |
|
291 | 296 | |
|
292 | 297 | def removeDC(self, type): |
|
293 | 298 | |
|
294 | 299 | if self.dataOutObj.flagNoData: |
|
295 | 300 | return 0 |
|
296 | 301 | pass |
|
297 | 302 | |
|
298 | 303 | def removeInterference(self): |
|
299 | 304 | |
|
300 | 305 | if self.dataOutObj.flagNoData: |
|
301 | 306 | return 0 |
|
302 | 307 | pass |
|
303 | 308 | |
|
304 | 309 | def removeSatellites(self): |
|
305 | 310 | |
|
306 | 311 | if self.dataOutObj.flagNoData: |
|
307 | 312 | return 0 |
|
308 | 313 | pass |
|
309 | 314 | |
|
310 | 315 | def selectChannels(self, channelList, pairList=None): |
|
311 | 316 | """ |
|
312 | 317 | Selecciona un bloque de datos en base a canales y pares segun el channelList y el pairList |
|
313 | 318 | |
|
314 | 319 | Input: |
|
315 | 320 | channelList : lista sencilla de canales a seleccionar por ej. (2,3,7) |
|
316 | 321 | pairList : tupla de pares que se desea selecionar por ej. ( (0,1), (0,2) ) |
|
317 | 322 | |
|
318 | 323 | Affected: |
|
319 | 324 | self.dataOutObj.data_spc |
|
320 | 325 | self.dataOutObj.data_cspc |
|
321 | 326 | self.dataOutObj.data_dc |
|
322 | 327 | self.dataOutObj.nChannels |
|
323 | 328 | self.dataOutObj.nPairs |
|
324 | 329 | self.dataOutObj.m_ProcessingHeader.spectraComb |
|
325 | 330 | self.dataOutObj.m_SystemHeader.numChannels |
|
326 | 331 | |
|
327 | 332 | Return: |
|
328 | 333 | None |
|
329 | 334 | """ |
|
330 | 335 | |
|
331 | 336 | if self.dataOutObj.flagNoData: |
|
332 | 337 | return 0 |
|
333 | 338 | |
|
334 | 339 | channelIndexList = [] |
|
335 | 340 | for channel in channelList: |
|
336 | 341 | if channel in self.dataOutObj.channelList: |
|
337 | 342 | index = self.dataOutObj.channelList.index(channel) |
|
338 | 343 | channelIndexList.append(index) |
|
339 | 344 | continue |
|
340 | 345 | |
|
341 | 346 | raise ValueError, "The value %d in channelList is not valid" %channel |
|
342 | 347 | |
|
343 | 348 | nProfiles = self.dataOutObj.nProfiles |
|
344 | 349 | #dataType = self.dataOutObj.dataType |
|
345 | 350 | nHeights = self.dataOutObj.nHeights #m_ProcessingHeader.numHeights |
|
346 | 351 | blocksize = 0 |
|
347 | 352 | |
|
348 | 353 | #self spectra |
|
349 | 354 | nChannels = len(channelIndexList) |
|
350 | 355 | spc = numpy.zeros( (nChannels,nProfiles,nHeights), dtype='float' ) #dataType[0] ) |
|
351 | 356 | |
|
352 | 357 | for index, channel in enumerate(channelIndexList): |
|
353 | 358 | spc[index,:,:] = self.dataOutObj.data_spc[index,:,:] |
|
354 | 359 | |
|
355 | 360 | #DC channel |
|
356 | 361 | dc = numpy.zeros( (nChannels,nHeights), dtype='complex' ) |
|
357 | 362 | for index, channel in enumerate(channelIndexList): |
|
358 | 363 | dc[index,:] = self.dataOutObj.data_dc[channel,:] |
|
359 | 364 | |
|
360 | 365 | blocksize += dc.size |
|
361 | 366 | blocksize += spc.size |
|
362 | 367 | |
|
363 | 368 | nPairs = 0 |
|
364 | 369 | cspc = None |
|
365 | 370 | |
|
366 | 371 | if pairList == None: |
|
367 | 372 | pairList = self.pairList |
|
368 | 373 | |
|
369 | 374 | if (pairList != None) and (self.dataOutObj.data_cspc != None): |
|
370 | 375 | #cross spectra |
|
371 | 376 | nPairs = len(pairList) |
|
372 | 377 | cspc = numpy.zeros( (nPairs,nProfiles,nHeights), dtype='complex' ) |
|
373 | 378 | |
|
374 | 379 | spectraComb = self.dataOutObj.m_ProcessingHeader.spectraComb |
|
375 | 380 | totalSpectra = len(spectraComb) |
|
376 | 381 | nchan = self.dataOutObj.nChannels |
|
377 | 382 | pairIndexList = [] |
|
378 | 383 | |
|
379 | 384 | for pair in pairList: #busco el par en la lista de pares del Spectra Combinations |
|
380 | 385 | for index in range(0,totalSpectra,2): |
|
381 | 386 | if pair[0] == spectraComb[index] and pair[1] == spectraComb[index+1]: |
|
382 | 387 | pairIndexList.append( index/2 - nchan ) |
|
383 | 388 | |
|
384 | 389 | for index, pair in enumerate(pairIndexList): |
|
385 | 390 | cspc[index,:,:] = self.dataOutObj.data_cspc[pair,:,:] |
|
386 | 391 | blocksize += cspc.size |
|
387 | 392 | |
|
388 | 393 | else: |
|
389 | 394 | pairList = self.pairList |
|
390 | 395 | cspc = self.dataOutObj.data_cspc |
|
391 | 396 | if cspc != None: |
|
392 | 397 | blocksize += cspc.size |
|
393 | 398 | |
|
394 | 399 | spectraComb = numpy.zeros( (nChannels+nPairs)*2,numpy.dtype('u1')) |
|
395 | 400 | i = 0 |
|
396 | 401 | for val in channelList: |
|
397 | 402 | spectraComb[i] = val |
|
398 | 403 | spectraComb[i+1] = val |
|
399 | 404 | i += 2 |
|
400 | 405 | |
|
401 | 406 | if pairList != None: |
|
402 | 407 | for pair in pairList: |
|
403 | 408 | spectraComb[i] = pair[0] |
|
404 | 409 | spectraComb[i+1] = pair[1] |
|
405 | 410 | i += 2 |
|
406 | 411 | |
|
407 | 412 | self.dataOutObj.data_spc = spc |
|
408 | 413 | self.dataOutObj.data_cspc = cspc |
|
409 | 414 | self.dataOutObj.data_dc = dc |
|
410 | 415 | self.dataOutObj.nChannels = nChannels |
|
411 | 416 | self.dataOutObj.nPairs = nPairs |
|
412 | 417 | |
|
413 | 418 | self.dataOutObj.channelList = channelList |
|
414 | 419 | |
|
415 | 420 | self.dataOutObj.m_ProcessingHeader.spectraComb = spectraComb |
|
416 | 421 | self.dataOutObj.m_ProcessingHeader.totalSpectra = nChannels + nPairs |
|
417 | 422 | self.dataOutObj.m_SystemHeader.numChannels = nChannels |
|
418 | 423 | self.dataOutObj.nChannels = nChannels |
|
419 | 424 | self.dataOutObj.m_ProcessingHeader.blockSize = blocksize |
|
420 | 425 | |
|
421 | ||
|
422 | 426 | def selectHeightsByValue(self, minHei, maxHei): |
|
423 | 427 | """ |
|
424 | 428 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
425 | 429 | minHei <= height <= maxHei |
|
426 | 430 | |
|
427 | 431 | Input: |
|
428 | 432 | minHei : valor minimo de altura a considerar |
|
429 | 433 | maxHei : valor maximo de altura a considerar |
|
430 | 434 | |
|
431 | 435 | Affected: |
|
432 | 436 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
433 | 437 | |
|
434 | 438 | Return: |
|
435 | 439 | None |
|
436 | 440 | """ |
|
437 | 441 | |
|
438 | 442 | if self.dataOutObj.flagNoData: |
|
439 | 443 | return 0 |
|
440 | 444 | |
|
441 | 445 | if (minHei < self.dataOutObj.heightList[0]) or (minHei > maxHei): |
|
442 | 446 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
443 | 447 | |
|
444 | 448 | if (maxHei > self.dataOutObj.heightList[-1]): |
|
445 | 449 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
446 | 450 | |
|
447 | 451 | minIndex = 0 |
|
448 | 452 | maxIndex = 0 |
|
449 | 453 | data = self.dataOutObj.heightList |
|
450 | 454 | |
|
451 | 455 | for i,val in enumerate(data): |
|
452 | 456 | if val < minHei: |
|
453 | 457 | continue |
|
454 | 458 | else: |
|
455 | 459 | minIndex = i; |
|
456 | 460 | break |
|
457 | 461 | |
|
458 | 462 | for i,val in enumerate(data): |
|
459 | 463 | if val <= maxHei: |
|
460 | 464 | maxIndex = i; |
|
461 | 465 | else: |
|
462 | 466 | break |
|
463 | 467 | |
|
464 | 468 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
465 | ||
|
466 | ||
|
469 | ||
|
467 | 470 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
468 | 471 | """ |
|
469 | 472 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
470 | 473 | minIndex <= index <= maxIndex |
|
471 | 474 | |
|
472 | 475 | Input: |
|
473 | 476 | minIndex : valor minimo de altura a considerar |
|
474 | 477 | maxIndex : valor maximo de altura a considerar |
|
475 | 478 | |
|
476 | 479 | Affected: |
|
477 | 480 | self.dataOutObj.data_spc |
|
478 | 481 | self.dataOutObj.data_cspc |
|
479 | 482 | self.dataOutObj.data_dc |
|
480 | 483 | self.dataOutObj.heightList |
|
481 | 484 | self.dataOutObj.nHeights |
|
482 | 485 | self.dataOutObj.m_ProcessingHeader.numHeights |
|
483 | 486 | self.dataOutObj.m_ProcessingHeader.blockSize |
|
484 | 487 | self.dataOutObj.m_ProcessingHeader.firstHeight |
|
485 | 488 | self.dataOutObj.m_RadarControllerHeader.numHeights |
|
486 | 489 | |
|
487 | 490 | Return: |
|
488 | 491 | None |
|
489 | 492 | """ |
|
490 | 493 | |
|
491 | 494 | if self.dataOutObj.flagNoData: |
|
492 | 495 | return 0 |
|
493 | 496 | |
|
494 | 497 | if (minIndex < 0) or (minIndex > maxIndex): |
|
495 | 498 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
496 | 499 | |
|
497 | 500 | if (maxIndex >= self.dataOutObj.nHeights): |
|
498 | 501 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
499 | 502 | |
|
500 | 503 | nChannels = self.dataOutObj.nChannels |
|
501 | 504 | nPairs = self.dataOutObj.nPairs |
|
502 | 505 | nProfiles = self.dataOutObj.nProfiles |
|
503 | 506 | dataType = self.dataOutObj.dataType |
|
504 | 507 | nHeights = maxIndex - minIndex + 1 |
|
505 | 508 | blockSize = 0 |
|
506 | 509 | |
|
507 | 510 | #self spectra |
|
508 | 511 | spc = self.dataOutObj.data_spc[:,:,minIndex:maxIndex+1] |
|
509 | 512 | blockSize += spc.size |
|
510 | 513 | |
|
511 | 514 | #cross spectra |
|
512 | 515 | cspc = None |
|
513 | 516 | if self.dataOutObj.data_cspc != None: |
|
514 | 517 | cspc = self.dataOutObj.data_cspc[:,:,minIndex:maxIndex+1] |
|
515 | 518 | blockSize += cspc.size |
|
516 | 519 | |
|
517 | 520 | #DC channel |
|
518 | 521 | dc = self.dataOutObj.data_dc[:,minIndex:maxIndex+1] |
|
519 | 522 | blockSize += dc.size |
|
520 | 523 | |
|
521 | 524 | self.dataOutObj.data_spc = spc |
|
522 | 525 | if cspc != None: |
|
523 | 526 | self.dataOutObj.data_cspc = cspc |
|
524 | 527 | self.dataOutObj.data_dc = dc |
|
525 | 528 | |
|
526 | 529 | firstHeight = self.dataOutObj.heightList[minIndex] |
|
527 | 530 | |
|
528 | 531 | self.dataOutObj.nHeights = nHeights |
|
529 | 532 | self.dataOutObj.m_ProcessingHeader.blockSize = blockSize |
|
530 | 533 | self.dataOutObj.m_ProcessingHeader.numHeights = nHeights |
|
531 | 534 | self.dataOutObj.m_ProcessingHeader.firstHeight = firstHeight |
|
532 | 535 | self.dataOutObj.m_RadarControllerHeader.numHeights = nHeights |
|
533 | 536 | |
|
534 | 537 | self.dataOutObj.heightList = self.dataOutObj.heightList[minIndex:maxIndex+1] |
|
535 | 538 | |
|
536 | 539 | |
|
537 | 540 | class IncoherentIntegration: |
|
538 | 541 | |
|
539 |
|
|
|
542 | integ_counter = None | |
|
540 | 543 | data = None |
|
544 | navg = None | |
|
541 | 545 | buffer = None |
|
542 | flag = False | |
|
543 | 546 | nIncohInt = None |
|
544 | 547 | |
|
545 | def __init__(self, N): | |
|
548 | def __init__(self, N = None, timeInterval = None): | |
|
549 | """ | |
|
550 | N | |
|
551 | timeInterval - interval time [min], integer value | |
|
552 | """ | |
|
546 | 553 | |
|
547 | self.profCounter = 1 | |
|
548 | 554 | self.data = None |
|
555 | self.navg = None | |
|
549 | 556 | self.buffer = None |
|
550 |
self. |
|
|
557 | self.timeOut = None | |
|
558 | self.exitCondition = False | |
|
559 | self.isReady = False | |
|
551 | 560 | self.nIncohInt = N |
|
561 | self.integ_counter = 0 | |
|
562 | if timeInterval!=None: | |
|
563 | self.timeIntervalInSeconds = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line | |
|
564 | ||
|
565 | if ((timeInterval==None) and (N==None)): | |
|
566 | print 'N = None ; timeInterval = None' | |
|
567 | sys.exit(0) | |
|
568 | elif timeInterval == None: | |
|
569 | self.timeFlag = False | |
|
570 | else: | |
|
571 | self.timeFlag = True | |
|
572 | ||
|
552 | 573 | |
|
553 | def exe(self,data): | |
|
574 | def exe(self,data,timeOfData): | |
|
575 | """ | |
|
576 | data | |
|
577 | ||
|
578 | timeOfData [seconds] | |
|
579 | """ | |
|
554 | 580 | |
|
555 |
if self. |
|
|
556 |
self. |
|
|
581 | if self.timeFlag: | |
|
582 | if self.timeOut == None: | |
|
583 | self.timeOut = timeOfData + self.timeIntervalInSeconds | |
|
584 | ||
|
585 | if timeOfData < self.timeOut: | |
|
586 | if self.buffer == None: | |
|
587 | self.buffer = data | |
|
588 | else: | |
|
589 | self.buffer = self.buffer + data | |
|
590 | self.integ_counter += 1 | |
|
591 | else: | |
|
592 | self.exitCondition = True | |
|
593 | ||
|
557 | 594 | else: |
|
558 | self.buffer = self.buffer + data | |
|
559 | ||
|
560 | if self.profCounter == self.nIncohInt: | |
|
595 | if self.integ_counter < self.nIncohInt: | |
|
596 | if self.buffer == None: | |
|
597 | self.buffer = data | |
|
598 | else: | |
|
599 | self.buffer = self.buffer + data | |
|
600 | ||
|
601 | self.integ_counter += 1 | |
|
602 | ||
|
603 | if self.integ_counter == self.nIncohInt: | |
|
604 | self.exitCondition = True | |
|
605 | ||
|
606 | if self.exitCondition: | |
|
561 | 607 | self.data = self.buffer |
|
608 | self.navg = self.integ_counter | |
|
609 | self.isReady = True | |
|
562 | 610 | self.buffer = None |
|
563 |
self. |
|
|
564 |
self. |
|
|
565 | else: | |
|
566 | self.flag = False | |
|
611 | self.timeOut = None | |
|
612 | self.integ_counter = 0 | |
|
613 | self.exitCondition = False | |
|
567 | 614 | |
|
568 | self.profCounter += 1 | |
|
569 | ||
|
615 | if self.timeFlag: | |
|
616 | self.buffer = data | |
|
617 | self.timeOut = timeOfData + self.timeIntervalInSeconds | |
|
618 | else: | |
|
619 | self.isReady = False | |
|
620 | No newline at end of file |
@@ -1,549 +1,591 | |||
|
1 | 1 | ''' |
|
2 | 2 | Created on Feb 7, 2012 |
|
3 | 3 | |
|
4 | 4 | @author $Author$ |
|
5 | 5 | @version $Id$ |
|
6 | 6 | ''' |
|
7 | 7 | |
|
8 | 8 | import os, sys |
|
9 | 9 | import numpy |
|
10 | 10 | |
|
11 | 11 | path = os.path.split(os.getcwd())[0] |
|
12 | 12 | sys.path.append(path) |
|
13 | 13 | |
|
14 | 14 | from Model.Voltage import Voltage |
|
15 | 15 | from IO.VoltageIO import VoltageWriter |
|
16 | 16 | from Graphics.VoltagePlot import Osciloscope |
|
17 | 17 | |
|
18 | 18 | class VoltageProcessor: |
|
19 | 19 | ''' |
|
20 | 20 | classdocs |
|
21 | 21 | ''' |
|
22 | 22 | |
|
23 | 23 | dataInObj = None |
|
24 | 24 | dataOutObj = None |
|
25 | 25 | |
|
26 | 26 | integratorObjIndex = None |
|
27 | 27 | decoderObjIndex = None |
|
28 | 28 | profSelectorObjIndex = None |
|
29 | 29 | writerObjIndex = None |
|
30 | 30 | plotterObjIndex = None |
|
31 | 31 | flipIndex = None |
|
32 | 32 | |
|
33 | 33 | integratorObjList = [] |
|
34 | 34 | decoderObjList = [] |
|
35 | 35 | profileSelectorObjList = [] |
|
36 | 36 | writerObjList = [] |
|
37 | 37 | plotterObjList = [] |
|
38 | 38 | m_Voltage= Voltage() |
|
39 | 39 | |
|
40 | 40 | def __init__(self, dataInObj=None, dataOutObj=None): |
|
41 | 41 | ''' |
|
42 | 42 | Constructor |
|
43 | 43 | ''' |
|
44 | 44 | |
|
45 | 45 | self.dataInObj = dataInObj |
|
46 | 46 | |
|
47 | 47 | if dataOutObj == None: |
|
48 | 48 | self.dataOutObj = Voltage() |
|
49 | 49 | else: |
|
50 | 50 | self.dataOutObj = dataOutObj |
|
51 | 51 | |
|
52 | 52 | self.integratorObjIndex = None |
|
53 | 53 | self.decoderObjIndex = None |
|
54 | 54 | self.profSelectorObjIndex = None |
|
55 | 55 | self.writerObjIndex = None |
|
56 | 56 | self.plotterObjIndex = None |
|
57 | 57 | self.flipIndex = 1 |
|
58 | 58 | self.integratorObjList = [] |
|
59 | 59 | self.decoderObjList = [] |
|
60 | 60 | self.profileSelectorObjList = [] |
|
61 | 61 | self.writerObjList = [] |
|
62 | 62 | self.plotterObjList = [] |
|
63 | 63 | |
|
64 | 64 | def setIO(self,inputObject, outputObject): |
|
65 | 65 | |
|
66 | 66 | if not( isinstance(inputObject, Voltage) ): |
|
67 | 67 | print 'InputObject must be an instance from Voltage()' |
|
68 | 68 | sys.exit(0) |
|
69 | 69 | |
|
70 | 70 | if not( isinstance(outputObject, Voltage) ): |
|
71 | 71 | print 'OutputObject must be an instance from Voltage()' |
|
72 | 72 | sys.exit(0) |
|
73 | 73 | |
|
74 | 74 | self.dataInObj = inputObject |
|
75 | 75 | self.dataOutObj = outputObject |
|
76 | 76 | |
|
77 | 77 | def setup(self): |
|
78 | 78 | pass |
|
79 | 79 | |
|
80 | 80 | def init(self): |
|
81 | 81 | |
|
82 | 82 | self.integratorObjIndex = 0 |
|
83 | 83 | self.decoderObjIndex = 0 |
|
84 | 84 | self.profSelectorObjIndex = 0 |
|
85 | 85 | self.writerObjIndex = 0 |
|
86 | 86 | self.plotterObjIndex = 0 |
|
87 | 87 | self.dataOutObj.copy(self.dataInObj) |
|
88 | 88 | |
|
89 | 89 | if self.profSelectorObjIndex != None: |
|
90 | 90 | for profSelObj in self.profileSelectorObjList: |
|
91 | 91 | profSelObj.incIndex() |
|
92 | 92 | |
|
93 | 93 | def addWriter(self, wrpath): |
|
94 | 94 | objWriter = VoltageWriter(self.dataOutObj) |
|
95 | 95 | objWriter.setup(wrpath) |
|
96 | 96 | self.writerObjList.append(objWriter) |
|
97 | 97 | |
|
98 | 98 | def addPlotter(self, index=None): |
|
99 | 99 | if index==None: |
|
100 | 100 | index = self.plotterObjIndex |
|
101 | 101 | |
|
102 | 102 | plotObj = Osciloscope(self.dataOutObj, index) |
|
103 | 103 | self.plotterObjList.append(plotObj) |
|
104 | 104 | |
|
105 |
def addIntegrator(self, |
|
|
105 | def addIntegrator(self, N,timeInterval): | |
|
106 | 106 | |
|
107 |
objCohInt = CoherentIntegrator( |
|
|
107 | objCohInt = CoherentIntegrator(N,timeInterval) | |
|
108 | 108 | self.integratorObjList.append(objCohInt) |
|
109 | 109 | |
|
110 | 110 | def addDecoder(self, code, ncode, nbaud): |
|
111 | 111 | |
|
112 | 112 | objDecoder = Decoder(code,ncode,nbaud) |
|
113 | 113 | self.decoderObjList.append(objDecoder) |
|
114 | 114 | |
|
115 | 115 | def addProfileSelector(self, nProfiles): |
|
116 | 116 | |
|
117 | 117 | objProfSelector = ProfileSelector(nProfiles) |
|
118 | 118 | self.profileSelectorObjList.append(objProfSelector) |
|
119 | 119 | |
|
120 | 120 | def writeData(self,wrpath): |
|
121 | 121 | |
|
122 | 122 | if self.dataOutObj.flagNoData: |
|
123 | 123 | return 0 |
|
124 | 124 | |
|
125 | 125 | if len(self.writerObjList) <= self.writerObjIndex: |
|
126 | 126 | self.addWriter(wrpath) |
|
127 | 127 | |
|
128 | 128 | self.writerObjList[self.writerObjIndex].putData() |
|
129 | 129 | |
|
130 | 130 | # myWrObj = self.writerObjList[self.writerObjIndex] |
|
131 | 131 | # myWrObj.putData() |
|
132 | 132 | |
|
133 | 133 | self.writerObjIndex += 1 |
|
134 | 134 | |
|
135 | 135 | def plotData(self,xmin=None, xmax=None, ymin=None, ymax=None, type='iq', winTitle='', index=None): |
|
136 | 136 | if self.dataOutObj.flagNoData: |
|
137 | 137 | return 0 |
|
138 | 138 | |
|
139 | 139 | if len(self.plotterObjList) <= self.plotterObjIndex: |
|
140 | 140 | self.addPlotter(index) |
|
141 | 141 | |
|
142 | 142 | self.plotterObjList[self.plotterObjIndex].plotData(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,type=type, winTitle=winTitle) |
|
143 | 143 | |
|
144 | 144 | self.plotterObjIndex += 1 |
|
145 | 145 | |
|
146 | def integrator(self, N): | |
|
146 | def integrator(self, N=None, timeInterval=None): | |
|
147 | 147 | |
|
148 | 148 | if self.dataOutObj.flagNoData: |
|
149 | 149 | return 0 |
|
150 | 150 | |
|
151 | 151 | if len(self.integratorObjList) <= self.integratorObjIndex: |
|
152 | self.addIntegrator(N) | |
|
152 | self.addIntegrator(N,timeInterval) | |
|
153 | 153 | |
|
154 | 154 | myCohIntObj = self.integratorObjList[self.integratorObjIndex] |
|
155 | myCohIntObj.exe(self.dataOutObj.data) | |
|
155 | myCohIntObj.exe(data=self.dataOutObj.data,timeOfData=self.dataOutObj.m_BasicHeader.utc) | |
|
156 | 156 | |
|
157 |
if myCohIntObj. |
|
|
157 | if myCohIntObj.isReady: | |
|
158 | 158 | self.dataOutObj.data = myCohIntObj.data |
|
159 | self.dataOutObj.m_ProcessingHeader.coherentInt *= N | |
|
159 | self.dataOutObj.nAvg = myCohIntObj.navg | |
|
160 | self.dataOutObj.m_ProcessingHeader.coherentInt *= myCohIntObj.navg | |
|
161 | #print "myCohIntObj.navg: ",myCohIntObj.navg | |
|
160 | 162 | self.dataOutObj.flagNoData = False |
|
161 | 163 | |
|
162 | 164 | else: |
|
163 | 165 | self.dataOutObj.flagNoData = True |
|
164 | 166 | |
|
165 | 167 | self.integratorObjIndex += 1 |
|
166 | 168 | |
|
167 | 169 | def decoder(self,code=None,type = 0): |
|
168 | 170 | |
|
169 | 171 | if self.dataOutObj.flagNoData: |
|
170 | 172 | return 0 |
|
171 | 173 | |
|
172 | 174 | if code == None: |
|
173 | 175 | code = self.dataOutObj.m_RadarControllerHeader.code |
|
174 | 176 | ncode, nbaud = code.shape |
|
175 | 177 | |
|
176 | 178 | if len(self.decoderObjList) <= self.decoderObjIndex: |
|
177 | 179 | self.addDecoder(code,ncode,nbaud) |
|
178 | 180 | |
|
179 | 181 | myDecodObj = self.decoderObjList[self.decoderObjIndex] |
|
180 | 182 | myDecodObj.exe(data=self.dataOutObj.data,type=type) |
|
181 | 183 | |
|
182 | 184 | if myDecodObj.flag: |
|
183 | 185 | self.dataOutObj.data = myDecodObj.data |
|
184 | 186 | self.dataOutObj.flagNoData = False |
|
185 | 187 | else: |
|
186 | 188 | self.dataOutObj.flagNoData = True |
|
187 | 189 | |
|
188 | 190 | self.decoderObjIndex += 1 |
|
189 | 191 | |
|
190 | 192 | |
|
191 | 193 | def filterByHei(self, window): |
|
192 | 194 | if window == None: |
|
193 | 195 | window = self.dataOutObj.m_RadarControllerHeader.txA / self.dataOutObj.m_ProcessingHeader.deltaHeight[0] |
|
194 | 196 | |
|
195 | 197 | newdelta = self.dataOutObj.m_ProcessingHeader.deltaHeight[0] * window |
|
196 | 198 | dim1 = self.dataOutObj.data.shape[0] |
|
197 | 199 | dim2 = self.dataOutObj.data.shape[1] |
|
198 | 200 | r = dim2 % window |
|
199 | 201 | |
|
200 | 202 | buffer = self.dataOutObj.data[:,0:dim2-r] |
|
201 | 203 | buffer = buffer.reshape(dim1,dim2/window,window) |
|
202 | 204 | buffer = numpy.sum(buffer,2) |
|
203 | 205 | self.dataOutObj.data = buffer |
|
204 | 206 | |
|
205 | 207 | self.dataOutObj.m_ProcessingHeader.deltaHeight = newdelta |
|
206 | 208 | self.dataOutObj.m_ProcessingHeader.numHeights = buffer.shape[1] |
|
207 | 209 | |
|
208 | 210 | self.dataOutObj.nHeights = self.dataOutObj.m_ProcessingHeader.numHeights |
|
209 | 211 | |
|
210 | 212 | #self.dataOutObj.heightList es un numpy.array |
|
211 | 213 | self.dataOutObj.heightList = numpy.arange(self.dataOutObj.m_ProcessingHeader.firstHeight[0],newdelta*self.dataOutObj.nHeights,newdelta) |
|
212 | 214 | |
|
213 | 215 | def deFlip(self): |
|
214 | 216 | self.dataOutObj.data *= self.flipIndex |
|
215 | 217 | self.flipIndex *= -1. |
|
216 | 218 | |
|
217 | 219 | def selectChannels(self, channelList): |
|
218 | 220 | """ |
|
219 | 221 | Selecciona un bloque de datos en base a canales segun el channelList |
|
220 | 222 | |
|
221 | 223 | Input: |
|
222 | 224 | channelList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
223 | 225 | |
|
224 | 226 | Affected: |
|
225 | 227 | self.dataOutObj.data |
|
226 | 228 | self.dataOutObj.channelList |
|
227 | 229 | self.dataOutObj.nChannels |
|
228 | 230 | self.dataOutObj.m_ProcessingHeader.totalSpectra |
|
229 | 231 | self.dataOutObj.m_SystemHeader.numChannels |
|
230 | 232 | self.dataOutObj.m_ProcessingHeader.blockSize |
|
231 | 233 | |
|
232 | 234 | Return: |
|
233 | 235 | None |
|
234 | 236 | """ |
|
235 | 237 | if self.dataOutObj.flagNoData: |
|
236 | 238 | return 0 |
|
237 | 239 | |
|
238 | 240 | for channel in channelList: |
|
239 | 241 | if channel not in self.dataOutObj.channelList: |
|
240 | 242 | raise ValueError, "The value %d in channelList is not valid" %channel |
|
241 | 243 | |
|
242 | 244 | nChannels = len(channelList) |
|
243 | 245 | |
|
244 | 246 | data = self.dataOutObj.data[channelList,:] |
|
245 | 247 | |
|
246 | 248 | self.dataOutObj.data = data |
|
247 | 249 | self.dataOutObj.channelList = channelList |
|
248 | 250 | self.dataOutObj.nChannels = nChannels |
|
249 | 251 | |
|
250 | 252 | self.dataOutObj.m_ProcessingHeader.totalSpectra = nChannels |
|
251 | 253 | self.dataOutObj.m_SystemHeader.numChannels = nChannels |
|
252 | 254 | self.dataOutObj.m_ProcessingHeader.blockSize = data.size |
|
253 | 255 | return 1 |
|
254 | 256 | |
|
255 | 257 | |
|
256 | 258 | def selectHeightsByValue(self, minHei, maxHei): |
|
257 | 259 | """ |
|
258 | 260 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
259 | 261 | minHei <= height <= maxHei |
|
260 | 262 | |
|
261 | 263 | Input: |
|
262 | 264 | minHei : valor minimo de altura a considerar |
|
263 | 265 | maxHei : valor maximo de altura a considerar |
|
264 | 266 | |
|
265 | 267 | Affected: |
|
266 | 268 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
267 | 269 | |
|
268 | 270 | Return: |
|
269 | 271 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
270 | 272 | """ |
|
271 | 273 | if self.dataOutObj.flagNoData: |
|
272 | 274 | return 0 |
|
273 | 275 | |
|
274 | 276 | if (minHei < self.dataOutObj.heightList[0]) or (minHei > maxHei): |
|
275 | 277 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
276 | 278 | |
|
277 | 279 | if (maxHei > self.dataOutObj.heightList[-1]): |
|
278 | 280 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
279 | 281 | |
|
280 | 282 | minIndex = 0 |
|
281 | 283 | maxIndex = 0 |
|
282 | 284 | data = self.dataOutObj.heightList |
|
283 | 285 | |
|
284 | 286 | for i,val in enumerate(data): |
|
285 | 287 | if val < minHei: |
|
286 | 288 | continue |
|
287 | 289 | else: |
|
288 | 290 | minIndex = i; |
|
289 | 291 | break |
|
290 | 292 | |
|
291 | 293 | for i,val in enumerate(data): |
|
292 | 294 | if val <= maxHei: |
|
293 | 295 | maxIndex = i; |
|
294 | 296 | else: |
|
295 | 297 | break |
|
296 | 298 | |
|
297 | 299 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
298 | 300 | return 1 |
|
299 | 301 | |
|
300 | 302 | |
|
301 | 303 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
302 | 304 | """ |
|
303 | 305 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
304 | 306 | minIndex <= index <= maxIndex |
|
305 | 307 | |
|
306 | 308 | Input: |
|
307 | 309 | minIndex : valor de indice minimo de altura a considerar |
|
308 | 310 | maxIndex : valor de indice maximo de altura a considerar |
|
309 | 311 | |
|
310 | 312 | Affected: |
|
311 | 313 | self.dataOutObj.data |
|
312 | 314 | self.dataOutObj.heightList |
|
313 | 315 | self.dataOutObj.nHeights |
|
314 | 316 | self.dataOutObj.m_ProcessingHeader.blockSize |
|
315 | 317 | self.dataOutObj.m_ProcessingHeader.numHeights |
|
316 | 318 | self.dataOutObj.m_ProcessingHeader.firstHeight |
|
317 | 319 | self.dataOutObj.m_RadarControllerHeader |
|
318 | 320 | |
|
319 | 321 | Return: |
|
320 | 322 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
321 | 323 | """ |
|
322 | 324 | if self.dataOutObj.flagNoData: |
|
323 | 325 | return 0 |
|
324 | 326 | |
|
325 | 327 | if (minIndex < 0) or (minIndex > maxIndex): |
|
326 | 328 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
327 | 329 | |
|
328 | 330 | if (maxIndex >= self.dataOutObj.nHeights): |
|
329 | 331 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
330 | 332 | |
|
331 | 333 | nHeights = maxIndex - minIndex + 1 |
|
332 | 334 | |
|
333 | 335 | #voltage |
|
334 | 336 | data = self.dataOutObj.data[:,minIndex:maxIndex+1] |
|
335 | 337 | |
|
336 | 338 | firstHeight = self.dataOutObj.heightList[minIndex] |
|
337 | 339 | |
|
338 | 340 | self.dataOutObj.data = data |
|
339 | 341 | self.dataOutObj.heightList = self.dataOutObj.heightList[minIndex:maxIndex+1] |
|
340 | 342 | self.dataOutObj.nHeights = nHeights |
|
341 | 343 | self.dataOutObj.m_ProcessingHeader.blockSize = data.size |
|
342 | 344 | self.dataOutObj.m_ProcessingHeader.numHeights = nHeights |
|
343 | 345 | self.dataOutObj.m_ProcessingHeader.firstHeight = firstHeight |
|
344 | 346 | self.dataOutObj.m_RadarControllerHeader.numHeights = nHeights |
|
345 | 347 | return 1 |
|
346 | 348 | |
|
347 | 349 | def selectProfilesByValue(self,indexList, nProfiles): |
|
348 | 350 | if self.dataOutObj.flagNoData: |
|
349 | 351 | return 0 |
|
350 | 352 | |
|
351 | 353 | if self.profSelectorObjIndex >= len(self.profileSelectorObjList): |
|
352 | 354 | self.addProfileSelector(nProfiles) |
|
353 | 355 | |
|
354 | 356 | profileSelectorObj = self.profileSelectorObjList[self.profSelectorObjIndex] |
|
355 | 357 | |
|
356 | 358 | if not(profileSelectorObj.isProfileInList(indexList)): |
|
357 | 359 | self.dataOutObj.flagNoData = True |
|
358 | 360 | self.profSelectorObjIndex += 1 |
|
359 | 361 | return 0 |
|
360 | 362 | |
|
361 | 363 | self.dataOutObj.flagNoData = False |
|
362 | 364 | self.profSelectorObjIndex += 1 |
|
363 | 365 | |
|
364 | 366 | return 1 |
|
365 | 367 | |
|
366 | 368 | |
|
367 | 369 | def selectProfilesByIndex(self, minIndex, maxIndex, nProfiles): |
|
368 | 370 | """ |
|
369 | 371 | Selecciona un bloque de datos en base a un grupo indices de perfiles segun el rango |
|
370 | 372 | minIndex <= index <= maxIndex |
|
371 | 373 | |
|
372 | 374 | Input: |
|
373 | 375 | minIndex : valor de indice minimo de perfil a considerar |
|
374 | 376 | maxIndex : valor de indice maximo de perfil a considerar |
|
375 | 377 | nProfiles : numero de profiles |
|
376 | 378 | |
|
377 | 379 | Affected: |
|
378 | 380 | self.dataOutObj.flagNoData |
|
379 | 381 | self.profSelectorObjIndex |
|
380 | 382 | |
|
381 | 383 | Return: |
|
382 | 384 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
383 | 385 | """ |
|
384 | 386 | |
|
385 | 387 | if self.dataOutObj.flagNoData: |
|
386 | 388 | return 0 |
|
387 | 389 | |
|
388 | 390 | if self.profSelectorObjIndex >= len(self.profileSelectorObjList): |
|
389 | 391 | self.addProfileSelector(nProfiles) |
|
390 | 392 | |
|
391 | 393 | profileSelectorObj = self.profileSelectorObjList[self.profSelectorObjIndex] |
|
392 | 394 | |
|
393 | 395 | if not(profileSelectorObj.isProfileInRange(minIndex, maxIndex)): |
|
394 | 396 | self.dataOutObj.flagNoData = True |
|
395 | 397 | self.profSelectorObjIndex += 1 |
|
396 | 398 | return 0 |
|
397 | 399 | |
|
398 | 400 | self.dataOutObj.flagNoData = False |
|
399 | 401 | self.profSelectorObjIndex += 1 |
|
400 | 402 | |
|
401 | 403 | return 1 |
|
402 | 404 | |
|
403 | 405 | def selectNtxs(self, ntx): |
|
404 | 406 | pass |
|
405 | 407 | |
|
406 | 408 | |
|
407 | 409 | class Decoder: |
|
408 | 410 | |
|
409 | 411 | data = None |
|
410 | 412 | profCounter = 1 |
|
411 | 413 | nCode = None |
|
412 | 414 | nBaud = None |
|
413 | 415 | codeIndex = 0 |
|
414 | 416 | code = None |
|
415 | 417 | flag = False |
|
416 | 418 | |
|
417 | 419 | def __init__(self,code, ncode, nbaud): |
|
418 | 420 | |
|
419 | 421 | self.data = None |
|
420 | 422 | self.profCounter = 1 |
|
421 | 423 | self.nCode = ncode |
|
422 | 424 | self.nBaud = nbaud |
|
423 | 425 | self.codeIndex = 0 |
|
424 | 426 | self.code = code #this is a List |
|
425 | 427 | self.flag = False |
|
426 | 428 | |
|
427 | 429 | def exe(self, data, ndata=None, type = 0): |
|
428 | 430 | |
|
429 | 431 | if ndata == None: ndata = data.shape[1] |
|
430 | 432 | |
|
431 | 433 | if type == 0: |
|
432 | 434 | self.convolutionInFreq(data,ndata) |
|
433 | 435 | |
|
434 | 436 | if type == 1: |
|
435 | 437 | self.convolutionInTime(data, ndata) |
|
436 | 438 | |
|
437 | 439 | def convolutionInFreq(self,data, ndata): |
|
438 | 440 | |
|
439 | 441 | newcode = numpy.zeros(ndata) |
|
440 | 442 | newcode[0:self.nBaud] = self.code[self.codeIndex] |
|
441 | 443 | |
|
442 | 444 | self.codeIndex += 1 |
|
443 | 445 | |
|
444 | 446 | fft_data = numpy.fft.fft(data, axis=1) |
|
445 | 447 | fft_code = numpy.conj(numpy.fft.fft(newcode)) |
|
446 | 448 | fft_code = fft_code.reshape(1,len(fft_code)) |
|
447 | 449 | |
|
448 | 450 | conv = fft_data.copy() |
|
449 | 451 | conv.fill(0) |
|
450 | 452 | |
|
451 | 453 | conv = fft_data*fft_code |
|
452 | 454 | |
|
453 | 455 | self.data = numpy.fft.ifft(conv,axis=1) |
|
454 | 456 | self.flag = True |
|
455 | 457 | |
|
456 | 458 | if self.profCounter == self.nCode: |
|
457 | 459 | self.profCounter = 0 |
|
458 | 460 | self.codeIndex = 0 |
|
459 | 461 | |
|
460 | 462 | self.profCounter += 1 |
|
461 | 463 | |
|
462 | 464 | def convolutionInTime(self, data, ndata): |
|
463 | 465 | |
|
464 | 466 | nchannel = data.shape[1] |
|
465 | 467 | newcode = self.code[self.codeIndex] |
|
466 | 468 | self.codeIndex += 1 |
|
467 | 469 | conv = data.copy() |
|
468 | 470 | for i in range(nchannel): |
|
469 | 471 | conv[i,:] = numpy.correlate(data[i,:], newcode, 'same') |
|
470 | 472 | |
|
471 | 473 | self.data = conv |
|
472 | 474 | self.flag = True |
|
473 | 475 | |
|
474 | 476 | if self.profCounter == self.nCode: |
|
475 | 477 | self.profCounter = 0 |
|
476 | 478 | self.codeIndex = 0 |
|
477 | 479 | |
|
478 | 480 | self.profCounter += 1 |
|
479 | 481 | |
|
480 | 482 | |
|
481 | 483 | class CoherentIntegrator: |
|
482 | 484 | |
|
483 |
|
|
|
485 | integ_counter = None | |
|
484 | 486 | data = None |
|
487 | navg = None | |
|
485 | 488 | buffer = None |
|
486 | flag = False | |
|
487 | 489 | nCohInt = None |
|
488 | 490 | |
|
489 | def __init__(self, N): | |
|
491 | def __init__(self, N=None,timeInterval=None): | |
|
490 | 492 | |
|
491 | self.profCounter = 1 | |
|
492 | 493 | self.data = None |
|
494 | self.navg = None | |
|
493 | 495 | self.buffer = None |
|
494 |
self. |
|
|
496 | self.timeOut = None | |
|
497 | self.exitCondition = False | |
|
498 | self.isReady = False | |
|
495 | 499 | self.nCohInt = N |
|
500 | self.integ_counter = 0 | |
|
501 | if timeInterval!=None: | |
|
502 | self.timeIntervalInSeconds = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line | |
|
503 | ||
|
504 | if ((timeInterval==None) and (N==None)): | |
|
505 | print 'N = None ; timeInterval = None' | |
|
506 | sys.exit(0) | |
|
507 | elif timeInterval == None: | |
|
508 | self.timeFlag = False | |
|
509 | else: | |
|
510 | self.timeFlag = True | |
|
496 | 511 | |
|
497 | def exe(self, data): | |
|
512 | def exe(self, data, timeOfData): | |
|
498 | 513 | |
|
499 |
if self. |
|
|
500 |
self. |
|
|
514 | if self.timeFlag: | |
|
515 | if self.timeOut == None: | |
|
516 | self.timeOut = timeOfData + self.timeIntervalInSeconds | |
|
517 | ||
|
518 | if timeOfData < self.timeOut: | |
|
519 | if self.buffer == None: | |
|
520 | self.buffer = data | |
|
521 | else: | |
|
522 | self.buffer = self.buffer + data | |
|
523 | self.integ_counter += 1 | |
|
524 | else: | |
|
525 | self.exitCondition = True | |
|
526 | ||
|
501 | 527 | else: |
|
502 | self.buffer = self.buffer + data | |
|
503 | ||
|
504 | if self.profCounter == self.nCohInt: | |
|
528 | if self.integ_counter < self.nCohInt: | |
|
529 | if self.buffer == None: | |
|
530 | self.buffer = data | |
|
531 | else: | |
|
532 | self.buffer = self.buffer + data | |
|
533 | ||
|
534 | self.integ_counter += 1 | |
|
535 | ||
|
536 | if self.integ_counter == self.nCohInt: | |
|
537 | self.exitCondition = True | |
|
538 | ||
|
539 | if self.exitCondition: | |
|
505 | 540 | self.data = self.buffer |
|
541 | self.navg = self.integ_counter | |
|
542 | self.isReady = True | |
|
506 | 543 | self.buffer = None |
|
507 |
self. |
|
|
508 |
self. |
|
|
544 | self.timeOut = None | |
|
545 | self.integ_counter = 0 | |
|
546 | self.exitCondition = False | |
|
547 | ||
|
548 | if self.timeFlag: | |
|
549 | self.buffer = data | |
|
550 | self.timeOut = timeOfData + self.timeIntervalInSeconds | |
|
509 | 551 | else: |
|
510 |
self. |
|
|
552 | self.isReady = False | |
|
511 | 553 | |
|
512 | self.profCounter += 1 | |
|
554 | ||
|
513 | 555 | |
|
514 | 556 | class ProfileSelector: |
|
515 | 557 | |
|
516 | 558 | profileIndex = None |
|
517 | 559 | # Tamanho total de los perfiles |
|
518 | 560 | nProfiles = None |
|
519 | 561 | |
|
520 | 562 | def __init__(self, nProfiles): |
|
521 | 563 | |
|
522 | 564 | self.profileIndex = 0 |
|
523 | 565 | self.nProfiles = nProfiles |
|
524 | 566 | |
|
525 | 567 | def incIndex(self): |
|
526 | 568 | self.profileIndex += 1 |
|
527 | 569 | |
|
528 | 570 | if self.profileIndex >= self.nProfiles: |
|
529 | 571 | self.profileIndex = 0 |
|
530 | 572 | |
|
531 | 573 | def isProfileInRange(self, minIndex, maxIndex): |
|
532 | 574 | |
|
533 | 575 | if self.profileIndex < minIndex: |
|
534 | 576 | return False |
|
535 | 577 | |
|
536 | 578 | if self.profileIndex > maxIndex: |
|
537 | 579 | return False |
|
538 | 580 | |
|
539 | 581 | return True |
|
540 | 582 | |
|
541 | 583 | def isProfileInList(self, profileList): |
|
542 | 584 | |
|
543 | 585 | if self.profileIndex not in profileList: |
|
544 | 586 | return False |
|
545 | 587 | |
|
546 | 588 | return True |
|
547 | 589 | |
|
548 | 590 | |
|
549 | 591 | No newline at end of file |
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