| @@ -1,666 +1,673 | |||
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1 | 1 | ''' |
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2 | 2 | Created on September , 2012 |
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3 | 3 | @author: |
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4 | 4 | ''' |
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5 | 5 | from xml.etree.ElementTree import Element, SubElement, ElementTree |
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6 | 6 | from xml.etree import ElementTree as ET |
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7 | 7 | from xml.dom import minidom |
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8 | 8 | |
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9 | 9 | import sys |
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10 | 10 | import datetime |
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11 | 11 | from model.jrodataIO import * |
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12 | 12 | from model.jroprocessing import * |
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13 | 13 | from model.jroplot import * |
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14 | 14 | |
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15 | 15 | def prettify(elem): |
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16 | 16 | """Return a pretty-printed XML string for the Element. |
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17 | 17 | """ |
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18 | 18 | rough_string = ET.tostring(elem, 'utf-8') |
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19 | 19 | reparsed = minidom.parseString(rough_string) |
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20 | 20 | return reparsed.toprettyxml(indent=" ") |
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21 | 21 | |
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22 | 22 | class ParameterConf(): |
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23 | 23 | |
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24 | 24 | id = None |
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25 | 25 | name = None |
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26 | 26 | value = None |
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27 | 27 | format = None |
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28 | 28 | |
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29 | 29 | ELEMENTNAME = 'Parameter' |
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30 | 30 | |
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31 | 31 | def __init__(self): |
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32 | 32 | |
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33 | 33 | self.format = 'str' |
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34 | 34 | |
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35 | 35 | def getElementName(self): |
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36 | 36 | |
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37 | 37 | return self.ELEMENTNAME |
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38 | 38 | |
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39 | 39 | def getValue(self): |
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40 | 40 | |
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41 | 41 | if self.format == 'list': |
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42 | 42 | strList = self.value.split(',') |
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43 | 43 | return strList |
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44 | 44 | |
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45 | 45 | if self.format == 'intlist': |
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46 | 46 | strList = self.value.split(',') |
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47 | 47 | intList = [int(x) for x in strList] |
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48 | 48 | return intList |
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49 | 49 | |
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50 | 50 | if self.format == 'floatlist': |
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51 | 51 | strList = self.value.split(',') |
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52 | 52 | floatList = [float(x) for x in strList] |
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53 | 53 | return floatList |
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54 | 54 | |
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55 | 55 | if self.format == 'date': |
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56 | 56 | strList = self.value.split('/') |
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57 | 57 | intList = [int(x) for x in strList] |
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58 | 58 | date = datetime.date(intList[0], intList[1], intList[2]) |
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59 | 59 | return date |
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60 | 60 | |
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61 | 61 | if self.format == 'time': |
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62 | 62 | strList = self.value.split(':') |
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63 | 63 | intList = [int(x) for x in strList] |
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64 | 64 | time = datetime.time(intList[0], intList[1], intList[2]) |
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65 | 65 | return time |
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66 | 66 | |
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67 | 67 | func = eval(self.format) |
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68 | 68 | |
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69 | 69 | return func(self.value) |
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70 | 70 | |
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71 | 71 | def setup(self, id, name, value, format='str'): |
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72 | 72 | |
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73 | 73 | self.id = id |
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74 | 74 | self.name = name |
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75 | 75 | self.value = str(value) |
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76 | 76 | self.format = format |
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77 | 77 | |
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78 | 78 | def makeXml(self, opElement): |
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79 | 79 | |
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80 | 80 | parmElement = SubElement(opElement, self.ELEMENTNAME) |
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81 | 81 | parmElement.set('id', str(self.id)) |
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82 | 82 | parmElement.set('name', self.name) |
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83 | 83 | parmElement.set('value', self.value) |
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84 | 84 | parmElement.set('format', self.format) |
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85 | 85 | |
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86 | 86 | def readXml(self, parmElement): |
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87 | 87 | |
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88 | 88 | self.id = parmElement.get('id') |
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89 | 89 | self.name = parmElement.get('name') |
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90 | 90 | self.value = parmElement.get('value') |
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91 | 91 | self.format = parmElement.get('format') |
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92 | 92 | |
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93 | 93 | def printattr(self): |
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94 | 94 | |
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95 | 95 | print "Parameter[%s]: name = %s, value = %s, format = %s" %(self.id, self.name, self.value, self.format) |
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96 | 96 | |
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97 | 97 | class OperationConf(): |
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98 | 98 | |
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99 | 99 | id = None |
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100 | 100 | name = None |
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101 | 101 | priority = None |
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102 | 102 | type = None |
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103 | 103 | |
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104 | 104 | parmConfObjList = [] |
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105 | 105 | |
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106 | 106 | ELEMENTNAME = 'Operation' |
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107 | 107 | |
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108 | 108 | def __init__(self): |
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109 | 109 | |
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110 | 110 | id = 0 |
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111 | 111 | name = None |
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112 | 112 | priority = None |
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113 | 113 | type = 'self' |
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114 | 114 | |
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115 | 115 | |
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116 | 116 | def __getNewId(self): |
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117 | 117 | |
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118 | 118 | return int(self.id)*10 + len(self.parmConfObjList) + 1 |
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119 | 119 | |
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120 | 120 | def getElementName(self): |
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121 | 121 | |
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122 | 122 | return self.ELEMENTNAME |
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123 | 123 | |
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124 | 124 | def getParameterObjList(self): |
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125 | 125 | |
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126 | 126 | return self.parmConfObjList |
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127 | 127 | |
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128 | 128 | def setup(self, id, name, priority, type): |
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129 | 129 | |
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130 | 130 | self.id = id |
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131 | 131 | self.name = name |
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132 | 132 | self.type = type |
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133 | 133 | self.priority = priority |
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134 | 134 | |
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135 | 135 | self.parmConfObjList = [] |
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136 | 136 | |
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137 | 137 | def addParameter(self, name, value, format='str'): |
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138 | 138 | |
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139 | 139 | id = self.__getNewId() |
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140 | 140 | |
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141 | 141 | parmConfObj = ParameterConf() |
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142 | 142 | parmConfObj.setup(id, name, value, format) |
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143 | 143 | |
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144 | 144 | self.parmConfObjList.append(parmConfObj) |
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145 | 145 | |
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146 | 146 | return parmConfObj |
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147 | 147 | |
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148 | 148 | def makeXml(self, upElement): |
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149 | 149 | |
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150 | 150 | opElement = SubElement(upElement, self.ELEMENTNAME) |
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151 | 151 | opElement.set('id', str(self.id)) |
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152 | 152 | opElement.set('name', self.name) |
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153 | 153 | opElement.set('type', self.type) |
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154 | 154 | opElement.set('priority', str(self.priority)) |
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155 | 155 | |
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156 | 156 | for parmConfObj in self.parmConfObjList: |
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157 | 157 | parmConfObj.makeXml(opElement) |
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158 | 158 | |
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159 | 159 | def readXml(self, opElement): |
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160 | 160 | |
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161 | 161 | self.id = opElement.get('id') |
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162 | 162 | self.name = opElement.get('name') |
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163 | 163 | self.type = opElement.get('type') |
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164 | 164 | self.priority = opElement.get('priority') |
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165 | 165 | |
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166 | 166 | self.parmConfObjList = [] |
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167 | 167 | |
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168 | 168 | parmElementList = opElement.getiterator(ParameterConf().getElementName()) |
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169 | 169 | |
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170 | 170 | for parmElement in parmElementList: |
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171 | 171 | parmConfObj = ParameterConf() |
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172 | 172 | parmConfObj.readXml(parmElement) |
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173 | 173 | self.parmConfObjList.append(parmConfObj) |
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174 | 174 | |
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175 | 175 | def printattr(self): |
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176 | 176 | |
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177 | 177 | print "%s[%s]: name = %s, type = %s, priority = %s" %(self.ELEMENTNAME, |
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178 | 178 | self.id, |
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179 | 179 | self.name, |
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180 | 180 | self.type, |
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181 | 181 | self.priority) |
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182 | 182 | |
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183 | 183 | for parmConfObj in self.parmConfObjList: |
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184 | 184 | parmConfObj.printattr() |
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185 | 185 | |
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186 | 186 | def createObject(self): |
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187 | 187 | |
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188 | 188 | if self.type == 'self': |
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189 | 189 | raise ValueError, "This operation type cannot be created" |
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190 | 190 | |
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191 | 191 | if self.type == 'other': |
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192 | 192 | className = eval(self.name) |
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193 | 193 | opObj = className() |
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194 | 194 | |
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195 | 195 | return opObj |
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196 | 196 | |
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197 | 197 | class ProcUnitConf(): |
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198 | 198 | |
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199 | 199 | id = None |
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200 | 200 | name = None |
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201 | 201 | datatype = None |
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202 | 202 | inputId = None |
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203 | 203 | |
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204 | 204 | opConfObjList = [] |
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205 | 205 | |
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206 | 206 | procUnitObj = None |
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207 | 207 | opObjList = [] |
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208 | 208 | |
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209 | 209 | ELEMENTNAME = 'ProcUnit' |
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210 | 210 | |
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211 | 211 | def __init__(self): |
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212 | 212 | |
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213 | 213 | self.id = None |
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214 | 214 | self.datatype = None |
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215 | 215 | self.name = None |
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216 | 216 | self.inputId = None |
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217 | 217 | |
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218 | 218 | self.opConfObjList = [] |
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219 | 219 | |
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220 | 220 | self.procUnitObj = None |
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221 | 221 | self.opObjDict = {} |
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222 | 222 | |
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223 | 223 | def __getPriority(self): |
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224 | 224 | |
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225 | 225 | return len(self.opConfObjList)+1 |
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226 | 226 | |
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227 | 227 | def __getNewId(self): |
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228 | 228 | |
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229 | 229 | return int(self.id)*10 + len(self.opConfObjList) + 1 |
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230 | 230 | |
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231 | 231 | def getElementName(self): |
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232 | 232 | |
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233 | 233 | return self.ELEMENTNAME |
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234 | 234 | |
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235 | 235 | def getId(self): |
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236 | 236 | |
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237 | 237 | return str(self.id) |
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238 | 238 | |
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239 | 239 | def getInputId(self): |
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240 | 240 | |
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241 | 241 | return str(self.inputId) |
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242 | 242 | |
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243 | 243 | def getOperationObjList(self): |
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244 | 244 | |
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245 | 245 | return self.opConfObjList |
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246 | 246 | |
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247 | 247 | def getProcUnitObj(self): |
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248 | 248 | |
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249 | 249 | return self.procUnitObj |
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250 | 250 | |
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251 | 251 | def setup(self, id, name, datatype, inputId): |
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252 | 252 | |
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253 | 253 | self.id = id |
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254 | 254 | self.name = name |
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255 | 255 | self.datatype = datatype |
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256 | 256 | self.inputId = inputId |
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257 | 257 | |
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258 | 258 | self.opConfObjList = [] |
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259 | 259 | |
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260 | 260 | self.addOperation(name='init', optype='self') |
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261 | 261 | |
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262 | 262 | def addOperation(self, name, optype='self'): |
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263 | 263 | |
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264 | 264 | id = self.__getNewId() |
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265 | 265 | priority = self.__getPriority() |
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266 | 266 | |
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267 | 267 | opConfObj = OperationConf() |
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268 | 268 | opConfObj.setup(id, name=name, priority=priority, type=optype) |
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269 | 269 | |
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270 | 270 | self.opConfObjList.append(opConfObj) |
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271 | 271 | |
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272 | 272 | return opConfObj |
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273 | 273 | |
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274 | 274 | def makeXml(self, procUnitElement): |
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275 | 275 | |
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276 | 276 | upElement = SubElement(procUnitElement, self.ELEMENTNAME) |
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277 | 277 | upElement.set('id', str(self.id)) |
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278 | 278 | upElement.set('name', self.name) |
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279 | 279 | upElement.set('datatype', self.datatype) |
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280 | 280 | upElement.set('inputId', str(self.inputId)) |
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281 | 281 | |
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282 | 282 | for opConfObj in self.opConfObjList: |
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283 | 283 | opConfObj.makeXml(upElement) |
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284 | 284 | |
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285 | 285 | def readXml(self, upElement): |
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286 | 286 | |
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287 | 287 | self.id = upElement.get('id') |
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288 | 288 | self.name = upElement.get('name') |
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289 | 289 | self.datatype = upElement.get('datatype') |
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290 | 290 | self.inputId = upElement.get('inputId') |
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291 | 291 | |
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292 | 292 | self.opConfObjList = [] |
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293 | 293 | |
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294 | 294 | opElementList = upElement.getiterator(OperationConf().getElementName()) |
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295 | 295 | |
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296 | 296 | for opElement in opElementList: |
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297 | 297 | opConfObj = OperationConf() |
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298 | 298 | opConfObj.readXml(opElement) |
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299 | 299 | self.opConfObjList.append(opConfObj) |
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300 | 300 | |
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301 | 301 | def printattr(self): |
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302 | 302 | |
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303 | 303 | print "%s[%s]: name = %s, datatype = %s, inputId = %s" %(self.ELEMENTNAME, |
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304 | 304 | self.id, |
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305 | 305 | self.name, |
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306 | 306 | self.datatype, |
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307 | 307 | self.inputId) |
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308 | 308 | |
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309 | 309 | for opConfObj in self.opConfObjList: |
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310 | 310 | opConfObj.printattr() |
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311 | 311 | |
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312 | 312 | def createObjects(self): |
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313 | 313 | |
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314 | 314 | className = eval(self.name) |
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315 | 315 | procUnitObj = className() |
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316 | 316 | |
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317 | 317 | for opConfObj in self.opConfObjList: |
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318 | 318 | |
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319 | 319 | if opConfObj.type == 'self': |
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320 | 320 | continue |
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321 | 321 | |
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322 | 322 | opObj = opConfObj.createObject() |
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323 | 323 | |
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324 | 324 | self.opObjDict[opConfObj.id] = opObj |
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325 | 325 | procUnitObj.addOperation(opObj, opConfObj.id) |
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326 | 326 | |
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327 | 327 | self.procUnitObj = procUnitObj |
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328 | 328 | |
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329 | 329 | return procUnitObj |
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330 | 330 | |
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331 | 331 | def run(self): |
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332 | 332 | |
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333 | 333 | finalSts = False |
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334 | 334 | |
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335 | 335 | for opConfObj in self.opConfObjList: |
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336 | 336 | |
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337 | 337 | kwargs = {} |
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338 | 338 | for parmConfObj in opConfObj.getParameterObjList(): |
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339 | 339 | kwargs[parmConfObj.name] = parmConfObj.getValue() |
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340 | 340 | |
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341 | 341 | #print "\tRunning the '%s' operation with %s" %(opConfObj.name, opConfObj.id) |
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342 | 342 | sts = self.procUnitObj.call(opConfObj, **kwargs) |
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343 | 343 | finalSts = finalSts or sts |
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344 | 344 | |
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345 | 345 | return finalSts |
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346 | 346 | |
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347 | 347 | class ReadUnitConf(ProcUnitConf): |
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348 | 348 | |
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349 | 349 | path = None |
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350 | 350 | startDate = None |
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351 | 351 | endDate = None |
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352 | 352 | startTime = None |
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353 | 353 | endTime = None |
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354 | 354 | online = None |
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355 | 355 | expLabel = None |
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356 | 356 | delay = None |
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357 | 357 | |
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358 | 358 | ELEMENTNAME = 'ReadUnit' |
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359 | 359 | |
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360 | 360 | def __init__(self): |
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361 | 361 | |
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362 | 362 | self.id = None |
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363 | 363 | self.datatype = None |
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364 | 364 | self.name = None |
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365 | 365 | self.inputId = 0 |
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366 | 366 | |
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367 | 367 | self.opConfObjList = [] |
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368 | 368 | self.opObjList = [] |
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369 | 369 | |
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370 | 370 | def getElementName(self): |
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371 | 371 | |
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372 | 372 | return self.ELEMENTNAME |
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373 | 373 | |
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374 | 374 | def setup(self, id, name, datatype, path, startDate, endDate, startTime, endTime, online=0, expLabel='', delay=60): |
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375 | 375 | |
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376 | 376 | self.id = id |
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377 | 377 | self.name = name |
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378 | 378 | self.datatype = datatype |
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379 | 379 | |
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380 | 380 | self.path = path |
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381 | 381 | self.startDate = startDate |
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382 | 382 | self.endDate = endDate |
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383 | 383 | self.startTime = startTime |
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384 | 384 | self.endTime = endTime |
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385 | 385 | self.online = online |
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386 | 386 | self.expLabel = expLabel |
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387 | 387 | self.delay = delay |
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388 | 388 | |
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389 | 389 | self.addRunOperation() |
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390 | 390 | |
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391 | 391 | def addRunOperation(self): |
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392 | 392 | |
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393 | 393 | opObj = self.addOperation(name = 'run', optype = 'self') |
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394 | 394 | |
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395 | 395 | opObj.addParameter(name='path' , value=self.path, format='str') |
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396 | 396 | opObj.addParameter(name='startDate' , value=self.startDate, format='date') |
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397 | 397 | opObj.addParameter(name='endDate' , value=self.endDate, format='date') |
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398 | 398 | opObj.addParameter(name='startTime' , value=self.startTime, format='time') |
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399 | 399 | opObj.addParameter(name='endTime' , value=self.endTime, format='time') |
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400 | 400 | opObj.addParameter(name='expLabel' , value=self.expLabel, format='str') |
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401 | 401 | opObj.addParameter(name='online' , value=self.online, format='int') |
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402 | 402 | opObj.addParameter(name='delay' , value=self.delay, format='float') |
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403 | 403 | |
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404 | 404 | return opObj |
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405 | 405 | |
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406 | 406 | |
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407 | 407 | class Controller(): |
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408 | 408 | |
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409 | 409 | id = None |
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410 | 410 | name = None |
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411 | 411 | description = None |
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412 | 412 | # readUnitConfObjList = None |
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413 | 413 | procUnitConfObjDict = None |
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414 | 414 | |
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415 | 415 | ELEMENTNAME = 'Controller' |
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416 | 416 | |
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417 | 417 | def __init__(self): |
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418 | 418 | |
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419 | 419 | self.id = None |
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420 | 420 | self.name = None |
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421 | 421 | self.description = None |
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422 | 422 | |
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423 | 423 | # self.readUnitConfObjList = [] |
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424 | 424 | self.procUnitConfObjDict = {} |
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425 | 425 | |
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426 | 426 | def __getNewId(self): |
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427 | 427 | |
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428 | 428 | id = int(self.id)*10 + len(self.procUnitConfObjDict) + 1 |
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429 | 429 | |
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430 | 430 | return str(id) |
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431 | 431 | |
|
|
432 | 432 | def getElementName(self): |
|
|
433 | 433 | |
|
|
434 | 434 | return self.ELEMENTNAME |
|
|
435 | 435 | |
|
|
436 | 436 | def setup(self, id, name, description): |
|
|
437 | 437 | |
|
|
438 | 438 | self.id = id |
|
|
439 | 439 | self.name = name |
|
|
440 | 440 | self.description = description |
|
|
441 | 441 | |
|
|
442 | 442 | def addReadUnit(self, datatype, path, startDate='', endDate='', startTime='', endTime='', online=0, expLabel='', delay=60): |
|
|
443 | 443 | |
|
|
444 | 444 | id = self.__getNewId() |
|
|
445 | 445 | name = '%sReader' %(datatype) |
|
|
446 | 446 | |
|
|
447 | 447 | readUnitConfObj = ReadUnitConf() |
|
|
448 | 448 | readUnitConfObj.setup(id, name, datatype, path, startDate, endDate, startTime, endTime, online, expLabel, delay) |
|
|
449 | 449 | |
|
|
450 | 450 | self.procUnitConfObjDict[readUnitConfObj.getId()] = readUnitConfObj |
|
|
451 | 451 | |
|
|
452 | 452 | return readUnitConfObj |
|
|
453 | 453 | |
|
|
454 | 454 | def addProcUnit(self, datatype, inputId): |
|
|
455 | 455 | |
|
|
456 | 456 | id = self.__getNewId() |
|
|
457 | 457 | name = '%sProc' %(datatype) |
|
|
458 | 458 | |
|
|
459 | 459 | procUnitConfObj = ProcUnitConf() |
|
|
460 | 460 | procUnitConfObj.setup(id, name, datatype, inputId) |
|
|
461 | 461 | |
|
|
462 | 462 | self.procUnitConfObjDict[procUnitConfObj.getId()] = procUnitConfObj |
|
|
463 | 463 | |
|
|
464 | 464 | return procUnitConfObj |
|
|
465 | 465 | |
|
|
466 | 466 | def makeXml(self): |
|
|
467 | 467 | |
|
|
468 | 468 | projectElement = Element('Controller') |
|
|
469 | 469 | projectElement.set('id', str(self.id)) |
|
|
470 | 470 | projectElement.set('name', self.name) |
|
|
471 | 471 | projectElement.set('description', self.description) |
|
|
472 | 472 | |
|
|
473 | 473 | # for readUnitConfObj in self.readUnitConfObjList: |
|
|
474 | 474 | # readUnitConfObj.makeXml(projectElement) |
|
|
475 | 475 | |
|
|
476 | 476 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
|
477 | 477 | procUnitConfObj.makeXml(projectElement) |
|
|
478 | 478 | |
|
|
479 | 479 | self.projectElement = projectElement |
|
|
480 | 480 | |
|
|
481 | 481 | def writeXml(self, filename): |
|
|
482 | 482 | |
|
|
483 | 483 | self.makeXml() |
|
|
484 | 484 | |
|
|
485 | 485 | print prettify(self.projectElement) |
|
|
486 | 486 | |
|
|
487 | 487 | ElementTree(self.projectElement).write(filename, method='xml') |
|
|
488 | 488 | |
|
|
489 | 489 | def readXml(self, filename): |
|
|
490 | 490 | |
|
|
491 | 491 | #tree = ET.parse(filename) |
|
|
492 | 492 | self.projectElement = None |
|
|
493 | 493 | # self.readUnitConfObjList = [] |
|
|
494 | 494 | self.procUnitConfObjDict = {} |
|
|
495 | 495 | |
|
|
496 | 496 | self.projectElement = ElementTree().parse(filename) |
|
|
497 | 497 | |
|
|
498 | 498 | self.project = self.projectElement.tag |
|
|
499 | 499 | |
|
|
500 | 500 | self.id = self.projectElement.get('id') |
|
|
501 | 501 | self.name = self.projectElement.get('name') |
|
|
502 | 502 | self.description = self.projectElement.get('description') |
|
|
503 | 503 | |
|
|
504 | 504 | readUnitElementList = self.projectElement.getiterator(ReadUnitConf().getElementName()) |
|
|
505 | 505 | |
|
|
506 | 506 | for readUnitElement in readUnitElementList: |
|
|
507 | 507 | readUnitConfObj = ReadUnitConf() |
|
|
508 | 508 | readUnitConfObj.readXml(readUnitElement) |
|
|
509 | 509 | |
|
|
510 | 510 | self.procUnitConfObjDict[readUnitConfObj.getId()] = readUnitConfObj |
|
|
511 | 511 | |
|
|
512 | 512 | procUnitElementList = self.projectElement.getiterator(ProcUnitConf().getElementName()) |
|
|
513 | 513 | |
|
|
514 | 514 | for procUnitElement in procUnitElementList: |
|
|
515 | 515 | procUnitConfObj = ProcUnitConf() |
|
|
516 | 516 | procUnitConfObj.readXml(procUnitElement) |
|
|
517 | 517 | |
|
|
518 | 518 | self.procUnitConfObjDict[procUnitConfObj.getId()] = procUnitConfObj |
|
|
519 | 519 | |
|
|
520 | 520 | def printattr(self): |
|
|
521 | 521 | |
|
|
522 | 522 | print "Controller[%s]: name = %s, description = %s" %(self.id, |
|
|
523 | 523 | self.name, |
|
|
524 | 524 | self.description) |
|
|
525 | 525 | |
|
|
526 | 526 | # for readUnitConfObj in self.readUnitConfObjList: |
|
|
527 | 527 | # readUnitConfObj.printattr() |
|
|
528 | 528 | |
|
|
529 | 529 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
|
530 | 530 | procUnitConfObj.printattr() |
|
|
531 | 531 | |
|
|
532 | 532 | def createObjects(self): |
|
|
533 | 533 | |
|
|
534 | 534 | # for readUnitConfObj in self.readUnitConfObjList: |
|
|
535 | 535 | # readUnitConfObj.createObjects() |
|
|
536 | 536 | |
|
|
537 | 537 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
|
538 | 538 | procUnitConfObj.createObjects() |
|
|
539 | 539 | |
|
|
540 | 540 | def __connect(self, objIN, obj): |
|
|
541 | 541 | |
|
|
542 | 542 | obj.setInput(objIN.getOutput()) |
|
|
543 | 543 | |
|
|
544 | 544 | def connectObjects(self): |
|
|
545 | 545 | |
|
|
546 | 546 | for puConfObj in self.procUnitConfObjDict.values(): |
|
|
547 | 547 | |
|
|
548 | 548 | inputId = puConfObj.getInputId() |
|
|
549 | 549 | |
|
|
550 | 550 | if int(inputId) == 0: |
|
|
551 | 551 | continue |
|
|
552 | 552 | |
|
|
553 | 553 | puConfINObj = self.procUnitConfObjDict[inputId] |
|
|
554 | 554 | |
|
|
555 | 555 | puObj = puConfObj.getProcUnitObj() |
|
|
556 | 556 | puINObj = puConfINObj.getProcUnitObj() |
|
|
557 | 557 | |
|
|
558 | 558 | self.__connect(puINObj, puObj) |
|
|
559 | 559 | |
|
|
560 | 560 | def run(self): |
|
|
561 | 561 | |
|
|
562 | 562 | # for readUnitConfObj in self.readUnitConfObjList: |
|
|
563 | 563 | # readUnitConfObj.run() |
|
|
564 | 564 | |
|
|
565 | 565 | while(True): |
|
|
566 | 566 | |
|
|
567 | 567 | finalSts = False |
|
|
568 | 568 | |
|
|
569 | 569 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
|
570 | 570 | #print "Running the '%s' process with %s" %(procUnitConfObj.name, procUnitConfObj.id) |
|
|
571 | 571 | sts = procUnitConfObj.run() |
|
|
572 | 572 | finalSts = finalSts or sts |
|
|
573 | 573 | |
|
|
574 | 574 | #If every process unit finished so end process |
|
|
575 | 575 | if not(finalSts): |
|
|
576 | 576 | print "Every process units have finished" |
|
|
577 | 577 | break |
|
|
578 | 578 | |
|
|
579 | 579 | if __name__ == '__main__': |
|
|
580 | 580 | |
|
|
581 | 581 | desc = "Segundo Test" |
|
|
582 | 582 | filename = "schain.xml" |
|
|
583 | 583 | |
|
|
584 | 584 | controllerObj = Controller() |
|
|
585 | 585 | |
|
|
586 | 586 | controllerObj.setup(id = '191', name='test01', description=desc) |
|
|
587 | 587 | |
|
|
588 | 588 | readUnitConfObj = controllerObj.addReadUnit(datatype='Spectra', |
|
|
589 |
path=' |
|
|
|
590 |
startDate='2011/0 |
|
|
|
589 | path='/Users/dsuarez/Remote/IMAGING', | |
|
|
590 | startDate='2011/03/20', | |
|
|
591 | 591 | endDate='2012/12/31', |
|
|
592 |
startTime='0 |
|
|
|
592 | startTime='06:10:00', | |
|
|
593 | 593 | endTime='23:59:59', |
|
|
594 | 594 | online=0) |
|
|
595 | 595 | |
|
|
596 | 596 | opObj00 = readUnitConfObj.addOperation(name='printTotalBlocks') |
|
|
597 | 597 | |
|
|
598 | 598 | procUnitConfObj1 = controllerObj.addProcUnit(datatype='Spectra', inputId=readUnitConfObj.getId()) |
|
|
599 | 599 | |
|
|
600 | 600 | opObj10 = procUnitConfObj1.addOperation(name='selectChannels') |
|
|
601 | 601 | opObj10.addParameter(name='channelList', value='0,1,2,4,6,7', format='intlist') |
|
|
602 | 602 | |
|
|
603 | 603 | opObj11 = procUnitConfObj1.addOperation(name='SpectraPlot', optype='other') |
|
|
604 | 604 | opObj11.addParameter(name='idfigure', value='1', format='int') |
|
|
605 | 605 | opObj11.addParameter(name='wintitle', value='SpectraPlot', format='str') |
|
|
606 | 606 | # opObj11.addParameter(name='zmin', value='70', format='int') |
|
|
607 | 607 | # opObj11.addParameter(name='zmax', value='90', format='int') |
|
|
608 |
opObj11.addParameter(name='showprofile', value=' |
|
|
|
608 | opObj11.addParameter(name='showprofile', value='0', format='int') | |
|
|
609 | 609 | |
|
|
610 |
opObj1 |
|
|
|
611 |
opObj1 |
|
|
|
612 | ||
|
|
613 | opObj12 = procUnitConfObj1.addOperation(name='IncohInt', optype='other') | |
|
|
614 |
opObj1 |
|
|
|
615 | ||
|
|
616 | opObj11 = procUnitConfObj1.addOperation(name='SpectraPlot', optype='other') | |
|
|
617 | opObj11.addParameter(name='idfigure', value='2', format='int') | |
|
|
618 |
opObj1 |
|
|
|
619 | opObj11.addParameter(name='zmin', value='70', format='int') | |
|
|
620 | opObj11.addParameter(name='zmax', value='90', format='int') | |
|
|
621 | ||
|
|
622 | opObj10 = procUnitConfObj1.addOperation(name='selectChannels') | |
|
|
623 | opObj10.addParameter(name='channelList', value='2,6', format='intlist') | |
|
|
624 | ||
|
|
625 | opObj12 = procUnitConfObj1.addOperation(name='IncohInt', optype='other') | |
|
|
626 |
opObj1 |
|
|
|
627 | ||
|
|
628 | opObj11 = procUnitConfObj1.addOperation(name='SpectraPlot', optype='other') | |
|
|
629 | opObj11.addParameter(name='idfigure', value='3', format='int') | |
|
|
630 |
opObj1 |
|
|
|
631 | opObj11.addParameter(name='zmin', value='70', format='int') | |
|
|
632 | opObj11.addParameter(name='zmax', value='90', format='int') | |
|
|
610 | opObj11 = procUnitConfObj1.addOperation(name='RTIPlot', optype='other') | |
|
|
611 | opObj11.addParameter(name='idfigure', value='10', format='int') | |
|
|
612 | opObj11.addParameter(name='wintitle', value='RTI', format='str') | |
|
|
613 | # opObj11.addParameter(name='zmin', value='70', format='int') | |
|
|
614 | # opObj11.addParameter(name='zmax', value='90', format='int') | |
|
|
615 | opObj11.addParameter(name='showprofile', value='0', format='int') | |
|
|
616 | ||
|
|
617 | # opObj10 = procUnitConfObj1.addOperation(name='selectChannels') | |
|
|
618 | # opObj10.addParameter(name='channelList', value='0,2,4,6', format='intlist') | |
|
|
619 | # | |
|
|
620 | # opObj12 = procUnitConfObj1.addOperation(name='IncohInt', optype='other') | |
|
|
621 | # opObj12.addParameter(name='n', value='2', format='int') | |
|
|
622 | # | |
|
|
623 | # opObj11 = procUnitConfObj1.addOperation(name='SpectraPlot', optype='other') | |
|
|
624 | # opObj11.addParameter(name='idfigure', value='2', format='int') | |
|
|
625 | # opObj11.addParameter(name='wintitle', value='SpectraPlot10', format='str') | |
|
|
626 | # opObj11.addParameter(name='zmin', value='70', format='int') | |
|
|
627 | # opObj11.addParameter(name='zmax', value='90', format='int') | |
|
|
628 | # | |
|
|
629 | # opObj10 = procUnitConfObj1.addOperation(name='selectChannels') | |
|
|
630 | # opObj10.addParameter(name='channelList', value='2,6', format='intlist') | |
|
|
631 | # | |
|
|
632 | # opObj12 = procUnitConfObj1.addOperation(name='IncohInt', optype='other') | |
|
|
633 | # opObj12.addParameter(name='n', value='2', format='int') | |
|
|
634 | # | |
|
|
635 | # opObj11 = procUnitConfObj1.addOperation(name='SpectraPlot', optype='other') | |
|
|
636 | # opObj11.addParameter(name='idfigure', value='3', format='int') | |
|
|
637 | # opObj11.addParameter(name='wintitle', value='SpectraPlot10', format='str') | |
|
|
638 | # opObj11.addParameter(name='zmin', value='70', format='int') | |
|
|
639 | # opObj11.addParameter(name='zmax', value='90', format='int') | |
|
|
633 | 640 | |
|
|
634 | 641 | |
|
|
635 | 642 | # opObj12 = procUnitConfObj1.addOperation(name='decoder') |
|
|
636 | 643 | # opObj12.addParameter(name='ncode', value='2', format='int') |
|
|
637 | 644 | # opObj12.addParameter(name='nbauds', value='8', format='int') |
|
|
638 | 645 | # opObj12.addParameter(name='code0', value='001110011', format='int') |
|
|
639 | 646 | # opObj12.addParameter(name='code1', value='001110011', format='int') |
|
|
640 | 647 | |
|
|
641 | 648 | |
|
|
642 | 649 | |
|
|
643 | procUnitConfObj2 = controllerObj.addProcUnit(datatype='Spectra', inputId=procUnitConfObj1.getId()) | |
|
|
644 | ||
|
|
645 | opObj21 = procUnitConfObj2.addOperation(name='IncohInt', optype='other') | |
|
|
646 | opObj21.addParameter(name='n', value='2', format='int') | |
|
|
647 | ||
|
|
648 | opObj11 = procUnitConfObj2.addOperation(name='SpectraPlot', optype='other') | |
|
|
649 | opObj11.addParameter(name='idfigure', value='4', format='int') | |
|
|
650 | opObj11.addParameter(name='wintitle', value='SpectraPlot OBJ 2', format='str') | |
|
|
651 | opObj11.addParameter(name='zmin', value='70', format='int') | |
|
|
652 | opObj11.addParameter(name='zmax', value='90', format='int') | |
|
|
650 | # procUnitConfObj2 = controllerObj.addProcUnit(datatype='Spectra', inputId=procUnitConfObj1.getId()) | |
|
|
651 | # | |
|
|
652 | # opObj21 = procUnitConfObj2.addOperation(name='IncohInt', optype='other') | |
|
|
653 | # opObj21.addParameter(name='n', value='2', format='int') | |
|
|
654 | # | |
|
|
655 | # opObj11 = procUnitConfObj2.addOperation(name='SpectraPlot', optype='other') | |
|
|
656 | # opObj11.addParameter(name='idfigure', value='4', format='int') | |
|
|
657 | # opObj11.addParameter(name='wintitle', value='SpectraPlot OBJ 2', format='str') | |
|
|
658 | # opObj11.addParameter(name='zmin', value='70', format='int') | |
|
|
659 | # opObj11.addParameter(name='zmax', value='90', format='int') | |
|
|
653 | 660 | |
|
|
654 | 661 | print "Escribiendo el archivo XML" |
|
|
655 | 662 | |
|
|
656 | 663 | controllerObj.writeXml(filename) |
|
|
657 | 664 | |
|
|
658 | 665 | print "Leyendo el archivo XML" |
|
|
659 | 666 | controllerObj.readXml(filename) |
|
|
660 | 667 | #controllerObj.printattr() |
|
|
661 | 668 | |
|
|
662 | 669 | controllerObj.createObjects() |
|
|
663 | 670 | controllerObj.connectObjects() |
|
|
664 | 671 | controllerObj.run() |
|
|
665 | 672 | |
|
|
666 | 673 | No newline at end of file |
| @@ -1,245 +1,256 | |||
|
|
1 | 1 | import numpy |
|
|
2 | 2 | import mpldriver |
|
|
3 | 3 | |
|
|
4 | 4 | |
|
|
5 | 5 | class Figure: |
|
|
6 | 6 | |
|
|
7 | 7 | __driver = mpldriver |
|
|
8 | 8 | fig = None |
|
|
9 | 9 | |
|
|
10 | 10 | idfigure = None |
|
|
11 | 11 | wintitle = None |
|
|
12 | 12 | width = None |
|
|
13 | 13 | height = None |
|
|
14 | 14 | nplots = None |
|
|
15 | 15 | |
|
|
16 | 16 | axesObjList = [] |
|
|
17 | 17 | |
|
|
18 | 18 | WIDTH = None |
|
|
19 | 19 | HEIGHT = None |
|
|
20 | 20 | |
|
|
21 | 21 | def __init__(self): |
|
|
22 | 22 | |
|
|
23 | 23 | raise ValueError, "This method is not implemented" |
|
|
24 | 24 | |
|
|
25 | 25 | def __del__(self): |
|
|
26 | 26 | |
|
|
27 | 27 | self.__driver.closeFigure() |
|
|
28 | 28 | |
|
|
29 | 29 | def getAxesObjList(self): |
|
|
30 | 30 | |
|
|
31 | 31 | return self.axesObjList |
|
|
32 | 32 | |
|
|
33 | 33 | def getSubplots(self): |
|
|
34 | 34 | |
|
|
35 | 35 | raise ValueError, "Abstract method: This method should be defined" |
|
|
36 | 36 | |
|
|
37 | 37 | def getScreenDim(self): |
|
|
38 | 38 | |
|
|
39 | 39 | nrow, ncol = self.getSubplots() |
|
|
40 | 40 | |
|
|
41 | 41 | width = self.WIDTH*ncol |
|
|
42 | 42 | height = self.HEIGHT*nrow |
|
|
43 | 43 | |
|
|
44 | 44 | return width, height |
|
|
45 | 45 | |
|
|
46 | 46 | def init(self, idfigure, nplots, wintitle): |
|
|
47 | 47 | |
|
|
48 | 48 | raise ValueError, "This method has been replaced with createFigure" |
|
|
49 | 49 | |
|
|
50 | 50 | def createFigure(self, idfigure, wintitle): |
|
|
51 | 51 | |
|
|
52 | 52 | """ |
|
|
53 | 53 | Crea la figura de acuerdo al driver y parametros seleccionados seleccionados. |
|
|
54 | 54 | Las dimensiones de la pantalla es calculada a partir de los atributos self.WIDTH |
|
|
55 | 55 | y self.HEIGHT y el numero de subplots (nrow, ncol) |
|
|
56 | 56 | |
|
|
57 | 57 | Input: |
|
|
58 | 58 | idfigure : Los parametros necesarios son |
|
|
59 | 59 | wintitle : |
|
|
60 | 60 | |
|
|
61 | 61 | """ |
|
|
62 | 62 | |
|
|
63 | 63 | self.idfigure = idfigure |
|
|
64 | 64 | |
|
|
65 | 65 | self.wintitle = wintitle |
|
|
66 | 66 | |
|
|
67 | 67 | self.width, self.height = self.getScreenDim() |
|
|
68 | 68 | |
|
|
69 | 69 | self.fig = self.__driver.createFigure(self.idfigure, |
|
|
70 | 70 | self.wintitle, |
|
|
71 | 71 | self.width, |
|
|
72 | 72 | self.height) |
|
|
73 | 73 | |
|
|
74 | 74 | self.axesObjList = [] |
|
|
75 | 75 | |
|
|
76 | 76 | def setDriver(self, driver=mpldriver): |
|
|
77 | 77 | |
|
|
78 | 78 | self.__driver = driver |
|
|
79 | 79 | |
|
|
80 | 80 | def setTitle(self, title): |
|
|
81 | 81 | |
|
|
82 | 82 | self.__driver.setTitle(self.fig, title) |
|
|
83 | 83 | |
|
|
84 | 84 | def setWinTitle(self, title): |
|
|
85 | 85 | |
|
|
86 | 86 | self.__driver.setWinTitle(self.fig, title=title) |
|
|
87 | 87 | |
|
|
88 | 88 | def setTextFromAxes(self, text): |
|
|
89 | 89 | |
|
|
90 | 90 | raise ValueError, "Este metodo ha sido reemplazaado con el metodo setText de la clase Axes" |
|
|
91 | 91 | |
|
|
92 | 92 | def makeAxes(self, nrow, ncol, xpos, ypos, colspan, rowspan): |
|
|
93 | 93 | |
|
|
94 | 94 | raise ValueError, "Este metodo ha sido reemplazaado con el metodo addAxes" |
|
|
95 | 95 | |
|
|
96 | 96 | def addAxes(self, *args): |
|
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97 | 97 | """ |
|
|
98 | 98 | |
|
|
99 | 99 | Input: |
|
|
100 | 100 | *args : Los parametros necesarios son |
|
|
101 | 101 | nrow, ncol, xpos, ypos, colspan, rowspan |
|
|
102 | 102 | """ |
|
|
103 | 103 | |
|
|
104 | 104 | axesObj = Axes(self.fig, *args) |
|
|
105 | 105 | self.axesObjList.append(axesObj) |
|
|
106 | 106 | |
|
|
107 | 107 | def draw(self): |
|
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108 | 108 | |
|
|
109 | 109 | self.__driver.draw(self.fig) |
|
|
110 | 110 | |
|
|
111 | 111 | def run(self): |
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112 | 112 | |
|
|
113 | 113 | raise ValueError, "This method is not implemented" |
|
|
114 | 114 | |
|
|
115 | 115 | axesList = property(getAxesObjList) |
|
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116 | 116 | |
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117 | 117 | |
|
|
118 | 118 | class Axes: |
|
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119 | 119 | |
|
|
120 | 120 | __driver = mpldriver |
|
|
121 | 121 | fig = None |
|
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122 | 122 | ax = None |
|
|
123 | 123 | plot = None |
|
|
124 | 124 | |
|
|
125 | 125 | firsttime = None |
|
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126 | 126 | |
|
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127 | 127 | __showprofile = False |
|
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128 | 128 | |
|
|
129 | __zmin = None | |
|
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130 | __zmax = None | |
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|
131 | ||
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129 | 132 | def __init__(self, *args): |
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130 | 133 | |
|
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131 | 134 | """ |
|
|
132 | 135 | |
|
|
133 | 136 | Input: |
|
|
134 | 137 | *args : Los parametros necesarios son |
|
|
135 | 138 | fig, nrow, ncol, xpos, ypos, colspan, rowspan |
|
|
136 | 139 | """ |
|
|
137 | 140 | |
|
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138 | 141 | ax = self.__driver.createAxes(*args) |
|
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139 | 142 | self.fig = args[0] |
|
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140 | 143 | self.ax = ax |
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141 | 144 | self.plot = None |
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142 | 145 | |
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|
143 | 146 | self.firsttime = True |
|
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144 | 147 | |
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145 | 148 | def setText(self, text): |
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146 | 149 | |
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147 | 150 | self.__driver.setAxesText(self.ax, text) |
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148 | 151 | |
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149 | 152 | def pline(self, x, y, |
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150 | 153 | xmin=None, xmax=None, |
|
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151 | 154 | ymin=None, ymax=None, |
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152 | 155 | xlabel='', ylabel='', |
|
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153 | 156 | title='', |
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|
154 | 157 | **kwargs): |
|
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155 | 158 | |
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156 | 159 | """ |
|
|
157 | 160 | |
|
|
158 | 161 | Input: |
|
|
159 | 162 | x : |
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160 | 163 | y : |
|
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161 | 164 | xmin : |
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162 | 165 | xmax : |
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163 | 166 | ymin : |
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164 | 167 | ymax : |
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165 | 168 | xlabel : |
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166 | 169 | ylabel : |
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167 | 170 | title : |
|
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168 | 171 | **kwargs : Los parametros aceptados son |
|
|
169 | 172 | |
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170 | 173 | ticksize |
|
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171 | 174 | ytick_visible |
|
|
172 | 175 | """ |
|
|
173 | 176 | |
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|
174 | 177 | if self.firsttime: |
|
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175 | 178 | |
|
|
176 | 179 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
177 | 180 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
178 | 181 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
179 | 182 | if ymax == None: ymax = numpy.nanmax(y) |
|
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180 | 183 | |
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181 | 184 | self.plot = self.__driver.createPline(self.ax, x, y, |
|
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182 | 185 | xmin, xmax, |
|
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183 | 186 | ymin, ymax, |
|
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184 | 187 | xlabel=xlabel, |
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185 | 188 | ylabel=ylabel, |
|
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186 | 189 | title=title, |
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187 | 190 | **kwargs) |
|
|
188 | 191 | self.firsttime = False |
|
|
189 | 192 | return |
|
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190 | 193 | |
|
|
191 | 194 | self.__driver.pline(self.plot, x, y, xlabel=xlabel, |
|
|
192 | 195 | ylabel=ylabel, |
|
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193 | 196 | title=title) |
|
|
194 | 197 | |
|
|
195 | 198 | |
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|
196 | 199 | def pcolor(self, x, y, z, |
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197 | 200 | xmin=None, xmax=None, |
|
|
198 | 201 | ymin=None, ymax=None, |
|
|
199 | 202 | zmin=None, zmax=None, |
|
|
200 | 203 | xlabel='', ylabel='', |
|
|
201 | title='', | |
|
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204 | title='', rti = False, | |
|
|
202 | 205 | **kwargs): |
|
|
203 | 206 | |
|
|
204 | 207 | """ |
|
|
205 | 208 | Input: |
|
|
206 | 209 | x : |
|
|
207 | 210 | y : |
|
|
208 | 211 | x : |
|
|
209 | 212 | xmin : |
|
|
210 | 213 | xmax : |
|
|
211 | 214 | ymin : |
|
|
212 | 215 | ymax : |
|
|
213 | 216 | zmin : |
|
|
214 | 217 | zmax : |
|
|
215 | 218 | xlabel : |
|
|
216 | 219 | ylabel : |
|
|
217 | 220 | title : |
|
|
218 | 221 | **kwargs : Los parametros aceptados son |
|
|
219 | 222 | ticksize=9, |
|
|
220 | 223 | cblabel='' |
|
|
224 | rti = True or False | |
|
|
221 | 225 | """ |
|
|
222 | 226 | |
|
|
223 | 227 | if self.firsttime: |
|
|
224 | 228 | |
|
|
225 | 229 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
226 | 230 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
227 | 231 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
228 | 232 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
229 | 233 | if zmin == None: zmin = numpy.nanmin(z) |
|
|
230 | 234 | if zmax == None: zmax = numpy.nanmax(z) |
|
|
231 | ||
|
|
235 | ||
|
|
236 | ||
|
|
232 | 237 | self.plot = self.__driver.createPcolor(self.ax, x, y, z, |
|
|
233 | 238 | xmin, xmax, |
|
|
234 | 239 | ymin, ymax, |
|
|
235 | 240 | zmin, zmax, |
|
|
236 | 241 | xlabel=xlabel, |
|
|
237 | 242 | ylabel=ylabel, |
|
|
238 | 243 | title=title, |
|
|
239 | 244 | **kwargs) |
|
|
240 | 245 | self.firsttime = False |
|
|
246 | if self.__zmin == None: self.__zmin = zmin | |
|
|
247 | if self.__zmax == None: self.__zmax = zmax | |
|
|
241 | 248 | return |
|
|
242 |
|
|
|
|
243 | mesh = self.__driver.pcolor(self.plot, z, xlabel=xlabel, | |
|
|
244 | ylabel=ylabel, | |
|
|
245 | title=title) | |
|
|
249 | ||
|
|
250 | if rti: | |
|
|
251 | self.__driver.addpcolor(self.ax, x, y, z, self.__zmin, self.__zmax) | |
|
|
252 | return | |
|
|
253 | ||
|
|
254 | self.__driver.pcolor(self.plot, z, xlabel=xlabel, ylabel=ylabel, title=title) | |
|
|
255 | ||
|
|
256 | No newline at end of file | |
| @@ -1,246 +1,250 | |||
|
|
1 | 1 | import numpy |
|
|
2 | 2 | import matplotlib |
|
|
3 | 3 | matplotlib.use("TKAgg") |
|
|
4 | 4 | import matplotlib.pyplot |
|
|
5 | 5 | #import scitools.numpyutils |
|
|
6 | 6 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
|
7 | 7 | |
|
|
8 | 8 | def init(idfigure, wintitle, width, height, facecolor="w"): |
|
|
9 | 9 | |
|
|
10 | 10 | matplotlib.pyplot.ioff() |
|
|
11 | 11 | fig = matplotlib.pyplot.matplotlib.pyplot.figure(num=idfigure, facecolor=facecolor) |
|
|
12 | 12 | fig.canvas.manager.set_window_title(wintitle) |
|
|
13 | 13 | fig.canvas.manager.resize(width, height) |
|
|
14 | 14 | matplotlib.pyplot.ion() |
|
|
15 | 15 | |
|
|
16 | 16 | return fig |
|
|
17 | 17 | |
|
|
18 | 18 | def setWinTitle(fig, title): |
|
|
19 | 19 | |
|
|
20 | 20 | fig.canvas.manager.set_window_title(title) |
|
|
21 | 21 | |
|
|
22 | 22 | def setTitle(idfigure, title): |
|
|
23 | 23 | fig = matplotlib.pyplot.figure(idfigure) |
|
|
24 | 24 | fig.suptitle(title) |
|
|
25 | 25 | |
|
|
26 | 26 | def makeAxes(idfigure, nrow, ncol, xpos, ypos, colspan, rowspan): |
|
|
27 | 27 | fig = matplotlib.pyplot.figure(idfigure) |
|
|
28 | 28 | ax = matplotlib.pyplot.subplot2grid((nrow, ncol), (xpos, ypos), colspan=colspan, rowspan=rowspan) |
|
|
29 | 29 | return ax |
|
|
30 | 30 | |
|
|
31 | 31 | def setTextFromAxes(idfigure, ax, title): |
|
|
32 | 32 | fig = matplotlib.pyplot.figure(idfigure) |
|
|
33 | 33 | ax.annotate(title, xy=(.1, .99), |
|
|
34 | 34 | xycoords='figure fraction', |
|
|
35 | 35 | horizontalalignment='left', verticalalignment='top', |
|
|
36 | 36 | fontsize=10) |
|
|
37 | 37 | |
|
|
38 | 38 | def pline(ax, x, y, xmin, xmax, ymin, ymax, xlabel, ylabel, title, firsttime): |
|
|
39 | 39 | |
|
|
40 | 40 | if firsttime: |
|
|
41 | 41 | ax.plot(x, y) |
|
|
42 | 42 | ax.set_xlim([xmin,xmax]) |
|
|
43 | 43 | ax.set_ylim([ymin,ymax]) |
|
|
44 | 44 | ax.set_xlabel(xlabel, size=8) |
|
|
45 | 45 | ax.set_ylabel(ylabel, size=8) |
|
|
46 | 46 | ax.set_title(title, size=10) |
|
|
47 | 47 | matplotlib.pyplot.tight_layout() |
|
|
48 | 48 | else: |
|
|
49 | 49 | ax.lines[0].set_data(x,y) |
|
|
50 | 50 | |
|
|
51 | 51 | def draw(idfigure): |
|
|
52 | 52 | |
|
|
53 | 53 | fig = matplotlib.pyplot.figure(idfigure) |
|
|
54 | 54 | fig.canvas.draw() |
|
|
55 | 55 | |
|
|
56 | 56 | def pcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax, xlabel, ylabel, title, firsttime, mesh): |
|
|
57 | 57 | |
|
|
58 | 58 | if firsttime: |
|
|
59 | 59 | divider = make_axes_locatable(ax) |
|
|
60 | 60 | ax_cb = divider.new_horizontal(size="4%", pad=0.05) |
|
|
61 | 61 | fig1 = ax.get_figure() |
|
|
62 | 62 | fig1.add_axes(ax_cb) |
|
|
63 | 63 | |
|
|
64 | 64 | ax.set_xlim([xmin,xmax]) |
|
|
65 | 65 | ax.set_ylim([ymin,ymax]) |
|
|
66 | 66 | ax.set_xlabel(xlabel) |
|
|
67 | 67 | ax.set_ylabel(ylabel) |
|
|
68 | 68 | ax.set_title(title) |
|
|
69 | 69 | print x |
|
|
70 | 70 | imesh=ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax) |
|
|
71 | 71 | matplotlib.pyplot.colorbar(imesh, cax=ax_cb) |
|
|
72 | 72 | ax_cb.yaxis.tick_right() |
|
|
73 | 73 | for tl in ax_cb.get_yticklabels(): |
|
|
74 | 74 | tl.set_visible(True) |
|
|
75 | 75 | ax_cb.yaxis.tick_right() |
|
|
76 | 76 | matplotlib.pyplot.tight_layout() |
|
|
77 | 77 | return imesh |
|
|
78 | 78 | else: |
|
|
79 | 79 | # ax.set_xlim([xmin,xmax]) |
|
|
80 | 80 | # ax.set_ylim([ymin,ymax]) |
|
|
81 | 81 | ax.set_xlabel(xlabel) |
|
|
82 | 82 | ax.set_ylabel(ylabel) |
|
|
83 | 83 | ax.set_title(title) |
|
|
84 | 84 | |
|
|
85 | 85 | z = z.T |
|
|
86 | 86 | # z = z[0:-1,0:-1] |
|
|
87 | 87 | mesh.set_array(z.ravel()) |
|
|
88 | 88 | |
|
|
89 | 89 | return mesh |
|
|
90 | 90 | |
|
|
91 | 91 | ########################################### |
|
|
92 | 92 | #Actualizacion de las funciones del driver |
|
|
93 | 93 | ########################################### |
|
|
94 | 94 | |
|
|
95 | 95 | def createFigure(idfigure, wintitle, width, height, facecolor="w"): |
|
|
96 | 96 | |
|
|
97 | 97 | matplotlib.pyplot.ioff() |
|
|
98 | 98 | fig = matplotlib.pyplot.matplotlib.pyplot.figure(num=idfigure, facecolor=facecolor) |
|
|
99 | 99 | fig.canvas.manager.set_window_title(wintitle) |
|
|
100 | 100 | fig.canvas.manager.resize(width, height) |
|
|
101 | 101 | matplotlib.pyplot.ion() |
|
|
102 | 102 | |
|
|
103 | 103 | return fig |
|
|
104 | 104 | |
|
|
105 | 105 | def closeFigure(): |
|
|
106 | 106 | |
|
|
107 | 107 | matplotlib.pyplot.ioff() |
|
|
108 | 108 | matplotlib.pyplot.show() |
|
|
109 | 109 | |
|
|
110 | retur | |
|
|
110 | return | |
|
|
111 | 111 | |
|
|
112 | 112 | def setWinTitle(fig, title): |
|
|
113 | 113 | |
|
|
114 | 114 | fig.canvas.manager.set_window_title(title) |
|
|
115 | 115 | |
|
|
116 | 116 | def setTitle(fig, title): |
|
|
117 | 117 | |
|
|
118 | 118 | fig.suptitle(title) |
|
|
119 | 119 | |
|
|
120 | 120 | def createAxes(fig, nrow, ncol, xpos, ypos, colspan, rowspan): |
|
|
121 | 121 | |
|
|
122 | 122 | matplotlib.pyplot.figure(fig.number) |
|
|
123 | 123 | axes = matplotlib.pyplot.subplot2grid((nrow, ncol), |
|
|
124 | 124 | (xpos, ypos), |
|
|
125 | 125 | colspan=colspan, |
|
|
126 | 126 | rowspan=rowspan) |
|
|
127 | 127 | return axes |
|
|
128 | 128 | |
|
|
129 | 129 | def setAxesText(ax, text): |
|
|
130 | 130 | |
|
|
131 | 131 | ax.annotate(text, |
|
|
132 | 132 | xy = (.1, .99), |
|
|
133 | 133 | xycoords = 'figure fraction', |
|
|
134 | 134 | horizontalalignment = 'left', |
|
|
135 | 135 | verticalalignment = 'top', |
|
|
136 | 136 | fontsize = 10) |
|
|
137 | 137 | |
|
|
138 | 138 | def printLabels(ax, xlabel, ylabel, title): |
|
|
139 | 139 | |
|
|
140 | 140 | ax.set_xlabel(xlabel, size=11) |
|
|
141 | 141 | ax.set_ylabel(ylabel, size=11) |
|
|
142 | 142 | ax.set_title(title, size=12) |
|
|
143 | 143 | |
|
|
144 | 144 | def createPline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', |
|
|
145 | 145 | ticksize=9, xtick_visible=True, ytick_visible=True, |
|
|
146 | 146 | nxticks=4, nyticks=10, |
|
|
147 | 147 | grid=None): |
|
|
148 | 148 | |
|
|
149 | 149 | """ |
|
|
150 | 150 | |
|
|
151 | 151 | Input: |
|
|
152 | 152 | grid : None, 'both', 'x', 'y' |
|
|
153 | 153 | """ |
|
|
154 | 154 | |
|
|
155 | 155 | ax.plot(x, y) |
|
|
156 | 156 | ax.set_xlim([xmin,xmax]) |
|
|
157 | 157 | ax.set_ylim([ymin,ymax]) |
|
|
158 | 158 | |
|
|
159 | 159 | printLabels(ax, xlabel, ylabel, title) |
|
|
160 | 160 | |
|
|
161 | 161 | ###################################################### |
|
|
162 | 162 | xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/nxticks) + int(xmin) |
|
|
163 | 163 | ax.set_xticks(xtickspos) |
|
|
164 | 164 | |
|
|
165 | 165 | for tick in ax.get_xticklabels(): |
|
|
166 | 166 | tick.set_visible(xtick_visible) |
|
|
167 | 167 | |
|
|
168 | 168 | for tick in ax.xaxis.get_major_ticks(): |
|
|
169 | 169 | tick.label.set_fontsize(ticksize) |
|
|
170 | 170 | |
|
|
171 | 171 | ###################################################### |
|
|
172 | 172 | for tick in ax.get_yticklabels(): |
|
|
173 | 173 | tick.set_visible(ytick_visible) |
|
|
174 | 174 | |
|
|
175 | 175 | for tick in ax.yaxis.get_major_ticks(): |
|
|
176 | 176 | tick.label.set_fontsize(ticksize) |
|
|
177 | 177 | |
|
|
178 | 178 | ###################################################### |
|
|
179 | 179 | if grid != None: |
|
|
180 | 180 | ax.grid(b=True, which='major', axis=grid) |
|
|
181 | 181 | |
|
|
182 | 182 | matplotlib.pyplot.tight_layout() |
|
|
183 | 183 | |
|
|
184 | 184 | iplot = ax.lines[-1] |
|
|
185 | 185 | |
|
|
186 | 186 | return iplot |
|
|
187 | 187 | |
|
|
188 | 188 | def pline(iplot, x, y, xlabel='', ylabel='', title=''): |
|
|
189 | 189 | |
|
|
190 | 190 | ax = iplot.get_axes() |
|
|
191 | 191 | |
|
|
192 | 192 | printLabels(ax, xlabel, ylabel, title) |
|
|
193 | 193 | |
|
|
194 | 194 | iplot.set_data(x, y) |
|
|
195 | 195 | |
|
|
196 | 196 | def createPcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax, xlabel='', ylabel='', title='', ticksize = 9, cblabel=''): |
|
|
197 | 197 | |
|
|
198 | 198 | divider = make_axes_locatable(ax) |
|
|
199 | 199 | ax_cb = divider.new_horizontal(size="4%", pad=0.05) |
|
|
200 | 200 | fig = ax.get_figure() |
|
|
201 | 201 | fig.add_axes(ax_cb) |
|
|
202 | 202 | |
|
|
203 | 203 | ax.set_xlim([xmin,xmax]) |
|
|
204 | 204 | ax.set_ylim([ymin,ymax]) |
|
|
205 | 205 | |
|
|
206 | 206 | printLabels(ax, xlabel, ylabel, title) |
|
|
207 | 207 | |
|
|
208 | 208 | imesh = ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax) |
|
|
209 | 209 | cb = matplotlib.pyplot.colorbar(imesh, cax=ax_cb) |
|
|
210 | 210 | cb.set_label(cblabel) |
|
|
211 | 211 | |
|
|
212 | 212 | ax_cb.yaxis.tick_right() |
|
|
213 | 213 | |
|
|
214 | 214 | for tl in ax_cb.get_yticklabels(): |
|
|
215 | 215 | tl.set_visible(True) |
|
|
216 | 216 | |
|
|
217 | 217 | for tick in ax.yaxis.get_major_ticks(): |
|
|
218 | 218 | tick.label.set_fontsize(ticksize) |
|
|
219 | 219 | |
|
|
220 | 220 | for tick in ax.xaxis.get_major_ticks(): |
|
|
221 | 221 | tick.label.set_fontsize(ticksize) |
|
|
222 | 222 | |
|
|
223 | 223 | for tick in cb.ax.get_yticklabels(): |
|
|
224 | 224 | tick.set_fontsize(ticksize) |
|
|
225 | 225 | |
|
|
226 | 226 | ax_cb.yaxis.tick_right() |
|
|
227 | 227 | matplotlib.pyplot.tight_layout() |
|
|
228 | 228 | |
|
|
229 | 229 | return imesh |
|
|
230 | 230 | |
|
|
231 | 231 | def pcolor(imesh, z, xlabel='', ylabel='', title=''): |
|
|
232 | 232 | |
|
|
233 | 233 | z = z.T |
|
|
234 | 234 | |
|
|
235 | 235 | ax = imesh.get_axes() |
|
|
236 | 236 | |
|
|
237 | 237 | printLabels(ax, xlabel, ylabel, title) |
|
|
238 | 238 | |
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239 | 239 | imesh.set_array(z.ravel()) |
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240 | 240 | |
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241 | def addpcolor(ax, x, y, z, zmin, zmax): | |
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242 | ||
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243 | imesh = ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax) | |
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|
244 | ||
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241 | 245 | def draw(fig): |
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242 | 246 | |
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243 | 247 | if type(fig) == 'int': |
|
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244 | 248 | raise ValueError, "This parameter should be of tpye matplotlib figure" |
|
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245 | 249 | |
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246 | 250 | fig.canvas.draw() No newline at end of file |
| @@ -1,462 +1,494 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | $Author: murco $ |
|
|
4 | 4 | $Id: JROData.py 173 2012-11-20 15:06:21Z murco $ |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | import os, sys |
|
|
8 | 8 | import copy |
|
|
9 | 9 | import numpy |
|
|
10 | 10 | |
|
|
11 | 11 | from jroheaderIO import SystemHeader, RadarControllerHeader |
|
|
12 | 12 | |
|
|
13 | 13 | def hildebrand_sekhon(data, navg): |
|
|
14 | 14 | """ |
|
|
15 | 15 | This method is for the objective determination of de noise level in Doppler spectra. This |
|
|
16 | 16 | implementation technique is based on the fact that the standard deviation of the spectral |
|
|
17 | 17 | densities is equal to the mean spectral density for white Gaussian noise |
|
|
18 | 18 | |
|
|
19 | 19 | Inputs: |
|
|
20 | 20 | Data : heights |
|
|
21 | 21 | navg : numbers of averages |
|
|
22 | 22 | |
|
|
23 | 23 | Return: |
|
|
24 | 24 | -1 : any error |
|
|
25 | 25 | anoise : noise's level |
|
|
26 | 26 | """ |
|
|
27 | 27 | |
|
|
28 | 28 | dataflat = data.copy().reshape(-1) |
|
|
29 | 29 | dataflat.sort() |
|
|
30 | 30 | npts = dataflat.size #numbers of points of the data |
|
|
31 | 31 | |
|
|
32 | 32 | if npts < 32: |
|
|
33 | 33 | print "error in noise - requires at least 32 points" |
|
|
34 | 34 | return -1.0 |
|
|
35 | 35 | |
|
|
36 | 36 | dataflat2 = numpy.power(dataflat,2) |
|
|
37 | 37 | |
|
|
38 | 38 | cs = numpy.cumsum(dataflat) |
|
|
39 | 39 | cs2 = numpy.cumsum(dataflat2) |
|
|
40 | 40 | |
|
|
41 | 41 | # data sorted in ascending order |
|
|
42 | 42 | nmin = int((npts + 7.)/8) |
|
|
43 | 43 | |
|
|
44 | 44 | for i in range(nmin, npts): |
|
|
45 | 45 | s = cs[i] |
|
|
46 | 46 | s2 = cs2[i] |
|
|
47 | 47 | p = s / float(i); |
|
|
48 | 48 | p2 = p**2; |
|
|
49 | 49 | q = s2 / float(i) - p2; |
|
|
50 | 50 | leftc = p2; |
|
|
51 | 51 | rightc = q * float(navg); |
|
|
52 | 52 | R2 = leftc/rightc |
|
|
53 | 53 | |
|
|
54 | 54 | # Signal detect: R2 < 1 (R2 = leftc/rightc) |
|
|
55 | 55 | if R2 < 1: |
|
|
56 | 56 | npts_noise = i |
|
|
57 | 57 | break |
|
|
58 | 58 | |
|
|
59 | 59 | |
|
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60 | 60 | anoise = numpy.average(dataflat[0:npts_noise]) |
|
|
61 | 61 | |
|
|
62 | 62 | return anoise; |
|
|
63 | 63 | |
|
|
64 | 64 | def sorting_bruce(data, navg): |
|
|
65 | 65 | |
|
|
66 | 66 | data = data.copy() |
|
|
67 | 67 | |
|
|
68 | 68 | sortdata = numpy.sort(data) |
|
|
69 | 69 | lenOfData = len(data) |
|
|
70 | 70 | nums_min = lenOfData/10 |
|
|
71 | 71 | |
|
|
72 | 72 | if (lenOfData/10) > 0: |
|
|
73 | 73 | nums_min = lenOfData/10 |
|
|
74 | 74 | else: |
|
|
75 | 75 | nums_min = 0 |
|
|
76 | 76 | |
|
|
77 | 77 | rtest = 1.0 + 1.0/navg |
|
|
78 | 78 | |
|
|
79 | 79 | sum = 0. |
|
|
80 | 80 | |
|
|
81 | 81 | sumq = 0. |
|
|
82 | 82 | |
|
|
83 | 83 | j = 0 |
|
|
84 | 84 | |
|
|
85 | 85 | cont = 1 |
|
|
86 | 86 | |
|
|
87 | 87 | while((cont==1)and(j<lenOfData)): |
|
|
88 | 88 | |
|
|
89 | 89 | sum += sortdata[j] |
|
|
90 | 90 | |
|
|
91 | 91 | sumq += sortdata[j]**2 |
|
|
92 | 92 | |
|
|
93 | 93 | j += 1 |
|
|
94 | 94 | |
|
|
95 | 95 | if j > nums_min: |
|
|
96 | 96 | if ((sumq*j) <= (rtest*sum**2)): |
|
|
97 | 97 | lnoise = sum / j |
|
|
98 | 98 | else: |
|
|
99 | 99 | j = j - 1 |
|
|
100 | 100 | sum = sum - sordata[j] |
|
|
101 | 101 | sumq = sumq - sordata[j]**2 |
|
|
102 | 102 | cont = 0 |
|
|
103 | 103 | |
|
|
104 | 104 | if j == nums_min: |
|
|
105 | 105 | lnoise = sum /j |
|
|
106 | 106 | |
|
|
107 | 107 | return lnoise |
|
|
108 | 108 | |
|
|
109 | 109 | class JROData: |
|
|
110 | 110 | |
|
|
111 | 111 | # m_BasicHeader = BasicHeader() |
|
|
112 | 112 | # m_ProcessingHeader = ProcessingHeader() |
|
|
113 | 113 | |
|
|
114 | 114 | systemHeaderObj = SystemHeader() |
|
|
115 | 115 | |
|
|
116 | 116 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
117 | 117 | |
|
|
118 | 118 | # data = None |
|
|
119 | 119 | |
|
|
120 | 120 | type = None |
|
|
121 | 121 | |
|
|
122 | 122 | dtype = None |
|
|
123 | 123 | |
|
|
124 | 124 | # nChannels = None |
|
|
125 | 125 | |
|
|
126 | nHeights = None | |
|
|
126 | # nHeights = None | |
|
|
127 | 127 | |
|
|
128 | 128 | nProfiles = None |
|
|
129 | 129 | |
|
|
130 | 130 | heightList = None |
|
|
131 | 131 | |
|
|
132 | 132 | channelList = None |
|
|
133 | 133 | |
|
|
134 | 134 | flagNoData = True |
|
|
135 | 135 | |
|
|
136 | 136 | flagTimeBlock = False |
|
|
137 | 137 | |
|
|
138 | 138 | utctime = None |
|
|
139 | 139 | |
|
|
140 | 140 | blocksize = None |
|
|
141 | 141 | |
|
|
142 | 142 | nCode = None |
|
|
143 | 143 | |
|
|
144 | 144 | nBaud = None |
|
|
145 | 145 | |
|
|
146 | 146 | code = None |
|
|
147 | 147 | |
|
|
148 | 148 | flagDecodeData = True #asumo q la data esta decodificada |
|
|
149 | 149 | |
|
|
150 | 150 | flagDeflipData = True #asumo q la data esta sin flip |
|
|
151 | 151 | |
|
|
152 | 152 | flagShiftFFT = False |
|
|
153 | 153 | |
|
|
154 | 154 | ippSeconds = None |
|
|
155 | 155 | |
|
|
156 | 156 | timeInterval = None |
|
|
157 | 157 | |
|
|
158 | 158 | nCohInt = None |
|
|
159 | 159 | |
|
|
160 | 160 | noise = None |
|
|
161 | 161 | |
|
|
162 | 162 | #Speed of ligth |
|
|
163 | 163 | C = 3e8 |
|
|
164 | 164 | |
|
|
165 | 165 | frequency = 49.92e6 |
|
|
166 | 166 | |
|
|
167 | 167 | def __init__(self): |
|
|
168 | 168 | |
|
|
169 | 169 | raise ValueError, "This class has not been implemented" |
|
|
170 | 170 | |
|
|
171 | 171 | def copy(self, inputObj=None): |
|
|
172 | 172 | |
|
|
173 | 173 | if inputObj == None: |
|
|
174 | 174 | return copy.deepcopy(self) |
|
|
175 | 175 | |
|
|
176 | 176 | for key in inputObj.__dict__.keys(): |
|
|
177 | 177 | self.__dict__[key] = inputObj.__dict__[key] |
|
|
178 | 178 | |
|
|
179 | 179 | def deepcopy(self): |
|
|
180 | 180 | |
|
|
181 | 181 | return copy.deepcopy(self) |
|
|
182 | 182 | |
|
|
183 | 183 | def isEmpty(self): |
|
|
184 | 184 | |
|
|
185 | 185 | return self.flagNoData |
|
|
186 | 186 | |
|
|
187 | def getNoise(self): | |
|
|
188 | ||
|
|
189 | raise ValueError, "Not implemented" | |
|
|
190 | ||
|
|
187 | 191 | def getNChannels(self): |
|
|
188 | 192 | |
|
|
189 | 193 | return len(self.channelList) |
|
|
190 | 194 | |
|
|
191 | 195 | def getChannelIndexList(self): |
|
|
192 | 196 | |
|
|
193 | 197 | return range(self.nChannels) |
|
|
194 | 198 | |
|
|
199 | def getNHeights(self): | |
|
|
200 | ||
|
|
201 | return len(self.heightList) | |
|
|
202 | ||
|
|
203 | def getHeiRange(self, extrapoints=0): | |
|
|
204 | ||
|
|
205 | heis = self.heightList | |
|
|
206 | # deltah = self.heightList[1] - self.heightList[0] | |
|
|
207 | # | |
|
|
208 | # heis.append(self.heightList[-1]) | |
|
|
209 | ||
|
|
210 | return heis | |
|
|
211 | ||
|
|
212 | def getDatatime(self): | |
|
|
213 | ||
|
|
214 | datatime = [] | |
|
|
215 | ||
|
|
216 | datatime.append(self.utctime) | |
|
|
217 | datatime.append(self.utctime + 2*self.timeInterval) | |
|
|
218 | ||
|
|
219 | datatime = numpy.array(datatime) | |
|
|
220 | ||
|
|
221 | return datatime | |
|
|
222 | ||
|
|
223 | def getFmax(self): | |
|
|
224 | ||
|
|
225 | PRF = 1./(self.ippSeconds * self.nCohInt) | |
|
|
226 | ||
|
|
227 | fmax = PRF/2. | |
|
|
228 | ||
|
|
229 | return fmax | |
|
|
230 | ||
|
|
231 | def getVmax(self): | |
|
|
232 | ||
|
|
233 | _lambda = self.C/self.frequency | |
|
|
234 | ||
|
|
235 | vmax = self.getFmax() * _lambda / 2. | |
|
|
236 | ||
|
|
237 | return vmax | |
|
|
238 | ||
|
|
195 | 239 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
|
196 | 240 | channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
|
197 | 241 | |
|
|
242 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") | |
|
|
243 | ||
|
|
244 | noise = property(getNoise, "I'm the 'nHeights' property.") | |
|
|
245 | ||
|
|
198 | 246 | class Voltage(JROData): |
|
|
199 | 247 | |
|
|
200 | 248 | #data es un numpy array de 2 dmensiones (canales, alturas) |
|
|
201 | 249 | data = None |
|
|
202 | 250 | |
|
|
203 | 251 | def __init__(self): |
|
|
204 | 252 | ''' |
|
|
205 | 253 | Constructor |
|
|
206 | 254 | ''' |
|
|
207 | 255 | |
|
|
208 | 256 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
209 | 257 | |
|
|
210 | 258 | self.systemHeaderObj = SystemHeader() |
|
|
211 | 259 | |
|
|
212 | 260 | self.type = "Voltage" |
|
|
213 | 261 | |
|
|
214 | 262 | self.data = None |
|
|
215 | 263 | |
|
|
216 | 264 | self.dtype = None |
|
|
217 | 265 | |
|
|
218 | 266 | # self.nChannels = 0 |
|
|
219 | 267 | |
|
|
220 | self.nHeights = 0 | |
|
|
268 | # self.nHeights = 0 | |
|
|
221 | 269 | |
|
|
222 | 270 | self.nProfiles = None |
|
|
223 | 271 | |
|
|
224 | 272 | self.heightList = None |
|
|
225 | 273 | |
|
|
226 | 274 | self.channelList = None |
|
|
227 | 275 | |
|
|
228 | 276 | # self.channelIndexList = None |
|
|
229 | 277 | |
|
|
230 | 278 | self.flagNoData = True |
|
|
231 | 279 | |
|
|
232 | 280 | self.flagTimeBlock = False |
|
|
233 | 281 | |
|
|
234 | 282 | self.utctime = None |
|
|
235 | 283 | |
|
|
236 | 284 | self.nCohInt = None |
|
|
237 | 285 | |
|
|
238 | 286 | self.blocksize = None |
|
|
239 | 287 | |
|
|
240 | 288 | def getNoisebyHildebrand(self): |
|
|
241 | 289 | """ |
|
|
242 | 290 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
243 | 291 | |
|
|
244 | 292 | Return: |
|
|
245 | 293 | noiselevel |
|
|
246 | 294 | """ |
|
|
247 | 295 | |
|
|
248 | 296 | for channel in range(self.nChannels): |
|
|
249 | 297 | daux = self.data_spc[channel,:,:] |
|
|
250 | 298 | self.noise[channel] = hildebrand_sekhon(daux, self.nCohInt) |
|
|
251 | 299 | |
|
|
252 | 300 | return self.noise |
|
|
253 | 301 | |
|
|
254 | 302 | def getNoise(self, type = 1): |
|
|
255 | 303 | |
|
|
256 | 304 | self.noise = numpy.zeros(self.nChannels) |
|
|
257 | 305 | |
|
|
258 | 306 | if type == 1: |
|
|
259 | 307 | noise = self.getNoisebyHildebrand() |
|
|
260 | 308 | |
|
|
261 | 309 | return 10*numpy.log10(noise) |
|
|
262 | 310 | |
|
|
263 | 311 | class Spectra(JROData): |
|
|
264 | 312 | |
|
|
265 | 313 | #data es un numpy array de 2 dmensiones (canales, perfiles, alturas) |
|
|
266 | 314 | data_spc = None |
|
|
267 | 315 | |
|
|
268 | 316 | #data es un numpy array de 2 dmensiones (canales, pares, alturas) |
|
|
269 | 317 | data_cspc = None |
|
|
270 | 318 | |
|
|
271 | 319 | #data es un numpy array de 2 dmensiones (canales, alturas) |
|
|
272 | 320 | data_dc = None |
|
|
273 | 321 | |
|
|
274 | 322 | nFFTPoints = None |
|
|
275 | 323 | |
|
|
276 | 324 | nPairs = None |
|
|
277 | 325 | |
|
|
278 | 326 | pairsList = None |
|
|
279 | 327 | |
|
|
280 | 328 | nIncohInt = None |
|
|
281 | 329 | |
|
|
282 | 330 | wavelength = None #Necesario para cacular el rango de velocidad desde la frecuencia |
|
|
283 | 331 | |
|
|
284 | 332 | nCohInt = None #se requiere para determinar el valor de timeInterval |
|
|
285 | 333 | |
|
|
286 | 334 | def __init__(self): |
|
|
287 | 335 | ''' |
|
|
288 | 336 | Constructor |
|
|
289 | 337 | ''' |
|
|
290 | 338 | |
|
|
291 | 339 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
292 | 340 | |
|
|
293 | 341 | self.systemHeaderObj = SystemHeader() |
|
|
294 | 342 | |
|
|
295 | 343 | self.type = "Spectra" |
|
|
296 | 344 | |
|
|
297 | 345 | # self.data = None |
|
|
298 | 346 | |
|
|
299 | 347 | self.dtype = None |
|
|
300 | 348 | |
|
|
301 | 349 | # self.nChannels = 0 |
|
|
302 | 350 | |
|
|
303 | self.nHeights = 0 | |
|
|
351 | # self.nHeights = 0 | |
|
|
304 | 352 | |
|
|
305 | 353 | self.nProfiles = None |
|
|
306 | 354 | |
|
|
307 | 355 | self.heightList = None |
|
|
308 | 356 | |
|
|
309 | 357 | self.channelList = None |
|
|
310 | 358 | |
|
|
311 | 359 | # self.channelIndexList = None |
|
|
312 | 360 | |
|
|
313 | 361 | self.flagNoData = True |
|
|
314 | 362 | |
|
|
315 | 363 | self.flagTimeBlock = False |
|
|
316 | 364 | |
|
|
317 | 365 | self.utctime = None |
|
|
318 | 366 | |
|
|
319 | 367 | self.nCohInt = None |
|
|
320 | 368 | |
|
|
321 | 369 | self.nIncohInt = None |
|
|
322 | 370 | |
|
|
323 | 371 | self.blocksize = None |
|
|
324 | 372 | |
|
|
325 | 373 | self.nFFTPoints = None |
|
|
326 | 374 | |
|
|
327 | 375 | self.wavelength = None |
|
|
328 | ||
|
|
329 | def getFmax(self): | |
|
|
330 | ||
|
|
331 | PRF = 1./(self.ippSeconds * self.nCohInt) | |
|
|
332 | ||
|
|
333 | fmax = PRF/2. | |
|
|
334 | ||
|
|
335 | return fmax | |
|
|
336 | ||
|
|
337 | def getVmax(self): | |
|
|
338 | ||
|
|
339 | _lambda = self.C/self.frequency | |
|
|
340 | ||
|
|
341 | vmax = self.getFmax() * _lambda / 2. | |
|
|
342 | ||
|
|
343 | return vmax | |
|
|
344 | 376 | |
|
|
345 | 377 | def getFreqRange(self, extrapoints=0): |
|
|
346 | 378 | |
|
|
347 | 379 | delfreq = 2 * self.getFmax() / self.nFFTPoints |
|
|
348 | 380 | freqrange = deltafreqs*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2 |
|
|
349 | 381 | |
|
|
350 | 382 | return freqrange |
|
|
351 | 383 | |
|
|
352 | 384 | def getVelRange(self, extrapoints=0): |
|
|
353 | 385 | |
|
|
354 | 386 | deltav = 2 * self.getVmax() / self.nFFTPoints |
|
|
355 | 387 | velrange = deltav*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltav/2 |
|
|
356 | 388 | |
|
|
357 | 389 | return velrange |
|
|
358 | 390 | |
|
|
359 | 391 | def getNoisebyHildebrand(self): |
|
|
360 | 392 | """ |
|
|
361 | 393 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
362 | 394 | |
|
|
363 | 395 | Return: |
|
|
364 | 396 | noiselevel |
|
|
365 | 397 | """ |
|
|
366 | 398 | |
|
|
367 | 399 | for channel in range(self.nChannels): |
|
|
368 | 400 | daux = self.data_spc[channel,:,:] |
|
|
369 | 401 | self.noise[channel] = hildebrand_sekhon(daux, self.nIncohInt) |
|
|
370 | 402 | |
|
|
371 | 403 | return self.noise |
|
|
372 | 404 | |
|
|
373 | 405 | def getNoisebyWindow(self, heiIndexMin=0, heiIndexMax=-1, freqIndexMin=0, freqIndexMax=-1): |
|
|
374 | 406 | """ |
|
|
375 | 407 | Determina el ruido del canal utilizando la ventana indicada con las coordenadas: |
|
|
376 | 408 | (heiIndexMIn, freqIndexMin) hasta (heiIndexMax, freqIndexMAx) |
|
|
377 | 409 | |
|
|
378 | 410 | Inputs: |
|
|
379 | 411 | heiIndexMin: Limite inferior del eje de alturas |
|
|
380 | 412 | heiIndexMax: Limite superior del eje de alturas |
|
|
381 | 413 | freqIndexMin: Limite inferior del eje de frecuencia |
|
|
382 | 414 | freqIndexMax: Limite supoerior del eje de frecuencia |
|
|
383 | 415 | """ |
|
|
384 | 416 | |
|
|
385 | 417 | data = self.data_spc[:, heiIndexMin:heiIndexMax, freqIndexMin:freqIndexMax] |
|
|
386 | 418 | |
|
|
387 | 419 | for channel in range(self.nChannels): |
|
|
388 | 420 | daux = data[channel,:,:] |
|
|
389 | 421 | self.noise[channel] = numpy.average(daux) |
|
|
390 | 422 | |
|
|
391 | 423 | return self.noise |
|
|
392 | 424 | |
|
|
393 | 425 | def getNoisebySort(self): |
|
|
394 | 426 | |
|
|
395 | 427 | for channel in range(self.nChannels): |
|
|
396 | 428 | daux = self.data_spc[channel,:,:] |
|
|
397 | 429 | self.noise[channel] = sorting_bruce(daux, self.nIncohInt) |
|
|
398 | 430 | |
|
|
399 | 431 | return self.noise |
|
|
400 | 432 | |
|
|
401 | 433 | def getNoise(self, type = 1): |
|
|
402 | 434 | |
|
|
403 | 435 | self.noise = numpy.zeros(self.nChannels) |
|
|
404 | 436 | |
|
|
405 | 437 | if type == 1: |
|
|
406 | 438 | noise = self.getNoisebyHildebrand() |
|
|
407 | 439 | |
|
|
408 | 440 | if type == 2: |
|
|
409 | 441 | noise = self.getNoisebySort() |
|
|
410 | 442 | |
|
|
411 | 443 | if type == 3: |
|
|
412 | 444 | noise = self.getNoisebyWindow() |
|
|
413 | 445 | |
|
|
414 | 446 | return 10*numpy.log10(noise) |
|
|
415 | 447 | |
|
|
416 | 448 | class SpectraHeis(JROData): |
|
|
417 | 449 | |
|
|
418 | 450 | data_spc = None |
|
|
419 | 451 | |
|
|
420 | 452 | data_cspc = None |
|
|
421 | 453 | |
|
|
422 | 454 | data_dc = None |
|
|
423 | 455 | |
|
|
424 | 456 | nFFTPoints = None |
|
|
425 | 457 | |
|
|
426 | 458 | nPairs = None |
|
|
427 | 459 | |
|
|
428 | 460 | pairsList = None |
|
|
429 | 461 | |
|
|
430 | 462 | nIncohInt = None |
|
|
431 | 463 | |
|
|
432 | 464 | def __init__(self): |
|
|
433 | 465 | |
|
|
434 | 466 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
435 | 467 | |
|
|
436 | 468 | self.systemHeaderObj = SystemHeader() |
|
|
437 | 469 | |
|
|
438 | 470 | self.type = "SpectraHeis" |
|
|
439 | 471 | |
|
|
440 | 472 | self.dtype = None |
|
|
441 | 473 | |
|
|
442 | 474 | # self.nChannels = 0 |
|
|
443 | 475 | |
|
|
444 | self.nHeights = 0 | |
|
|
476 | # self.nHeights = 0 | |
|
|
445 | 477 | |
|
|
446 | 478 | self.nProfiles = None |
|
|
447 | 479 | |
|
|
448 | 480 | self.heightList = None |
|
|
449 | 481 | |
|
|
450 | 482 | self.channelList = None |
|
|
451 | 483 | |
|
|
452 | 484 | # self.channelIndexList = None |
|
|
453 | 485 | |
|
|
454 | 486 | self.flagNoData = True |
|
|
455 | 487 | |
|
|
456 | 488 | self.flagTimeBlock = False |
|
|
457 | 489 | |
|
|
458 | 490 | self.nPairs = 0 |
|
|
459 | 491 | |
|
|
460 | 492 | self.utctime = None |
|
|
461 | 493 | |
|
|
462 | 494 | self.blocksize = None |
| @@ -1,2479 +1,2479 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | $Author: murco $ |
|
|
4 | 4 | $Id: JRODataIO.py 169 2012-11-19 21:57:03Z murco $ |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | import os, sys |
|
|
8 | 8 | import glob |
|
|
9 | 9 | import time |
|
|
10 | 10 | import numpy |
|
|
11 | 11 | import fnmatch |
|
|
12 | 12 | import time, datetime |
|
|
13 | 13 | |
|
|
14 | 14 | from jrodata import * |
|
|
15 | 15 | from jroheaderIO import * |
|
|
16 | 16 | from jroprocessing import * |
|
|
17 | 17 | |
|
|
18 | 18 | def isNumber(str): |
|
|
19 | 19 | """ |
|
|
20 | 20 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|
21 | 21 | |
|
|
22 | 22 | Excepciones: |
|
|
23 | 23 | Si un determinado string no puede ser convertido a numero |
|
|
24 | 24 | Input: |
|
|
25 | 25 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|
26 | 26 | |
|
|
27 | 27 | Return: |
|
|
28 | 28 | True : si el string es uno numerico |
|
|
29 | 29 | False : no es un string numerico |
|
|
30 | 30 | """ |
|
|
31 | 31 | try: |
|
|
32 | 32 | float( str ) |
|
|
33 | 33 | return True |
|
|
34 | 34 | except: |
|
|
35 | 35 | return False |
|
|
36 | 36 | |
|
|
37 | 37 | def isThisFileinRange(filename, startUTSeconds, endUTSeconds): |
|
|
38 | 38 | """ |
|
|
39 | 39 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
|
|
40 | 40 | |
|
|
41 | 41 | Inputs: |
|
|
42 | 42 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
43 | 43 | |
|
|
44 | 44 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
|
|
45 | 45 | segundos contados desde 01/01/1970. |
|
|
46 | 46 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
|
|
47 | 47 | segundos contados desde 01/01/1970. |
|
|
48 | 48 | |
|
|
49 | 49 | Return: |
|
|
50 | 50 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
51 | 51 | fecha especificado, de lo contrario retorna False. |
|
|
52 | 52 | |
|
|
53 | 53 | Excepciones: |
|
|
54 | 54 | Si el archivo no existe o no puede ser abierto |
|
|
55 | 55 | Si la cabecera no puede ser leida. |
|
|
56 | 56 | |
|
|
57 | 57 | """ |
|
|
58 | 58 | basicHeaderObj = BasicHeader() |
|
|
59 | 59 | |
|
|
60 | 60 | try: |
|
|
61 | 61 | fp = open(filename,'rb') |
|
|
62 | 62 | except: |
|
|
63 | 63 | raise IOError, "The file %s can't be opened" %(filename) |
|
|
64 | 64 | |
|
|
65 | 65 | sts = basicHeaderObj.read(fp) |
|
|
66 | 66 | fp.close() |
|
|
67 | 67 | |
|
|
68 | 68 | if not(sts): |
|
|
69 | 69 | print "Skipping the file %s because it has not a valid header" %(filename) |
|
|
70 | 70 | return 0 |
|
|
71 | 71 | |
|
|
72 | 72 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
|
|
73 | 73 | return 0 |
|
|
74 | 74 | |
|
|
75 | 75 | return 1 |
|
|
76 | 76 | |
|
|
77 | 77 | def getlastFileFromPath(path, ext): |
|
|
78 | 78 | """ |
|
|
79 | 79 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
|
80 | 80 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
|
81 | 81 | |
|
|
82 | 82 | Input: |
|
|
83 | 83 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
|
84 | 84 | ext : extension de los files contenidos en una carpeta |
|
|
85 | 85 | |
|
|
86 | 86 | Return: |
|
|
87 | 87 | El ultimo file de una determinada carpeta, no se considera el path. |
|
|
88 | 88 | """ |
|
|
89 | 89 | validFilelist = [] |
|
|
90 | 90 | fileList = os.listdir(path) |
|
|
91 | 91 | |
|
|
92 | 92 | # 0 1234 567 89A BCDE |
|
|
93 | 93 | # H YYYY DDD SSS .ext |
|
|
94 | 94 | |
|
|
95 | 95 | for file in fileList: |
|
|
96 | 96 | try: |
|
|
97 | 97 | year = int(file[1:5]) |
|
|
98 | 98 | doy = int(file[5:8]) |
|
|
99 | 99 | |
|
|
100 | 100 | if (os.path.splitext(file)[-1].upper() != ext.upper()) : continue |
|
|
101 | 101 | except: |
|
|
102 | 102 | continue |
|
|
103 | 103 | |
|
|
104 | 104 | validFilelist.append(file) |
|
|
105 | 105 | |
|
|
106 | 106 | if validFilelist: |
|
|
107 | 107 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|
108 | 108 | return validFilelist[-1] |
|
|
109 | 109 | |
|
|
110 | 110 | return None |
|
|
111 | 111 | |
|
|
112 | 112 | def checkForRealPath(path, year, doy, set, ext): |
|
|
113 | 113 | """ |
|
|
114 | 114 | Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path, |
|
|
115 | 115 | Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar |
|
|
116 | 116 | el path exacto de un determinado file. |
|
|
117 | 117 | |
|
|
118 | 118 | Example : |
|
|
119 | 119 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
|
120 | 120 | |
|
|
121 | 121 | Entonces la funcion prueba con las siguientes combinaciones |
|
|
122 | 122 | .../.../x2009307/y2009307367.ext |
|
|
123 | 123 | .../.../x2009307/Y2009307367.ext |
|
|
124 | 124 | .../.../X2009307/y2009307367.ext |
|
|
125 | 125 | .../.../X2009307/Y2009307367.ext |
|
|
126 | 126 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
|
127 | 127 | |
|
|
128 | 128 | Return: |
|
|
129 | 129 | Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file |
|
|
130 | 130 | caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas |
|
|
131 | 131 | para el filename |
|
|
132 | 132 | """ |
|
|
133 | 133 | filepath = None |
|
|
134 | 134 | find_flag = False |
|
|
135 | 135 | filename = None |
|
|
136 | 136 | |
|
|
137 | 137 | if ext.lower() == ".r": #voltage |
|
|
138 | 138 | header1 = "dD" |
|
|
139 | 139 | header2 = "dD" |
|
|
140 | 140 | elif ext.lower() == ".pdata": #spectra |
|
|
141 | 141 | header1 = "dD" |
|
|
142 | 142 | header2 = "pP" |
|
|
143 | 143 | else: |
|
|
144 | 144 | return None, filename |
|
|
145 | 145 | |
|
|
146 | 146 | for dir in header1: #barrido por las dos combinaciones posibles de "D" |
|
|
147 | 147 | for fil in header2: #barrido por las dos combinaciones posibles de "D" |
|
|
148 | 148 | doypath = "%s%04d%03d" % ( dir, year, doy ) #formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
|
149 | 149 | filename = "%s%04d%03d%03d%s" % ( fil, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext |
|
|
150 | 150 | filepath = os.path.join( path, doypath, filename ) #formo el path completo |
|
|
151 | 151 | if os.path.exists( filepath ): #verifico que exista |
|
|
152 | 152 | find_flag = True |
|
|
153 | 153 | break |
|
|
154 | 154 | if find_flag: |
|
|
155 | 155 | break |
|
|
156 | 156 | |
|
|
157 | 157 | if not(find_flag): |
|
|
158 | 158 | return None, filename |
|
|
159 | 159 | |
|
|
160 | 160 | return filepath, filename |
|
|
161 | 161 | |
|
|
162 | 162 | class JRODataIO: |
|
|
163 | 163 | |
|
|
164 | 164 | c = 3E8 |
|
|
165 | 165 | |
|
|
166 | 166 | isConfig = False |
|
|
167 | 167 | |
|
|
168 | 168 | basicHeaderObj = BasicHeader() |
|
|
169 | 169 | |
|
|
170 | 170 | systemHeaderObj = SystemHeader() |
|
|
171 | 171 | |
|
|
172 | 172 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
173 | 173 | |
|
|
174 | 174 | processingHeaderObj = ProcessingHeader() |
|
|
175 | 175 | |
|
|
176 | 176 | online = 0 |
|
|
177 | 177 | |
|
|
178 | 178 | dtype = None |
|
|
179 | 179 | |
|
|
180 | 180 | pathList = [] |
|
|
181 | 181 | |
|
|
182 | 182 | filenameList = [] |
|
|
183 | 183 | |
|
|
184 | 184 | filename = None |
|
|
185 | 185 | |
|
|
186 | 186 | ext = None |
|
|
187 | 187 | |
|
|
188 | 188 | flagIsNewFile = 1 |
|
|
189 | 189 | |
|
|
190 | 190 | flagTimeBlock = 0 |
|
|
191 | 191 | |
|
|
192 | 192 | flagIsNewBlock = 0 |
|
|
193 | 193 | |
|
|
194 | 194 | fp = None |
|
|
195 | 195 | |
|
|
196 | 196 | firstHeaderSize = 0 |
|
|
197 | 197 | |
|
|
198 | 198 | basicHeaderSize = 24 |
|
|
199 | 199 | |
|
|
200 | 200 | versionFile = 1103 |
|
|
201 | 201 | |
|
|
202 | 202 | fileSize = None |
|
|
203 | 203 | |
|
|
204 | 204 | ippSeconds = None |
|
|
205 | 205 | |
|
|
206 | 206 | fileSizeByHeader = None |
|
|
207 | 207 | |
|
|
208 | 208 | fileIndex = None |
|
|
209 | 209 | |
|
|
210 | 210 | profileIndex = None |
|
|
211 | 211 | |
|
|
212 | 212 | blockIndex = None |
|
|
213 | 213 | |
|
|
214 | 214 | nTotalBlocks = None |
|
|
215 | 215 | |
|
|
216 | 216 | maxTimeStep = 30 |
|
|
217 | 217 | |
|
|
218 | 218 | lastUTTime = None |
|
|
219 | 219 | |
|
|
220 | 220 | datablock = None |
|
|
221 | 221 | |
|
|
222 | 222 | dataOut = None |
|
|
223 | 223 | |
|
|
224 | 224 | blocksize = None |
|
|
225 | 225 | |
|
|
226 | 226 | def __init__(self): |
|
|
227 | 227 | |
|
|
228 | 228 | raise ValueError, "Not implemented" |
|
|
229 | 229 | |
|
|
230 | 230 | def run(self): |
|
|
231 | 231 | |
|
|
232 | 232 | raise ValueError, "Not implemented" |
|
|
233 | 233 | |
|
|
234 | 234 | def getOutput(self): |
|
|
235 | 235 | |
|
|
236 | 236 | return self.dataOut |
|
|
237 | 237 | |
|
|
238 | 238 | class JRODataReader(JRODataIO, ProcessingUnit): |
|
|
239 | 239 | |
|
|
240 | 240 | nReadBlocks = 0 |
|
|
241 | 241 | |
|
|
242 | 242 | delay = 60 #number of seconds waiting a new file |
|
|
243 | 243 | |
|
|
244 | 244 | nTries = 3 #quantity tries |
|
|
245 | 245 | |
|
|
246 | 246 | nFiles = 3 #number of files for searching |
|
|
247 | 247 | |
|
|
248 | 248 | flagNoMoreFiles = 0 |
|
|
249 | 249 | |
|
|
250 | 250 | def __init__(self): |
|
|
251 | 251 | |
|
|
252 | 252 | """ |
|
|
253 | 253 | |
|
|
254 | 254 | """ |
|
|
255 | 255 | |
|
|
256 | 256 | raise ValueError, "This method has not been implemented" |
|
|
257 | 257 | |
|
|
258 | 258 | |
|
|
259 | 259 | def createObjByDefault(self): |
|
|
260 | 260 | """ |
|
|
261 | 261 | |
|
|
262 | 262 | """ |
|
|
263 | 263 | raise ValueError, "This method has not been implemented" |
|
|
264 | 264 | |
|
|
265 | 265 | def getBlockDimension(self): |
|
|
266 | 266 | |
|
|
267 | 267 | raise ValueError, "No implemented" |
|
|
268 | 268 | |
|
|
269 | 269 | def __searchFilesOffLine(self, |
|
|
270 | 270 | path, |
|
|
271 | 271 | startDate, |
|
|
272 | 272 | endDate, |
|
|
273 | 273 | startTime=datetime.time(0,0,0), |
|
|
274 | 274 | endTime=datetime.time(23,59,59), |
|
|
275 | 275 | set=None, |
|
|
276 | 276 | expLabel="", |
|
|
277 | 277 | ext=".r"): |
|
|
278 | 278 | dirList = [] |
|
|
279 | 279 | for thisPath in os.listdir(path): |
|
|
280 | 280 | if os.path.isdir(os.path.join(path,thisPath)): |
|
|
281 | 281 | dirList.append(thisPath) |
|
|
282 | 282 | |
|
|
283 | 283 | if not(dirList): |
|
|
284 | 284 | return None, None |
|
|
285 | 285 | |
|
|
286 | 286 | pathList = [] |
|
|
287 | 287 | dateList = [] |
|
|
288 | 288 | |
|
|
289 | 289 | thisDate = startDate |
|
|
290 | 290 | |
|
|
291 | 291 | while(thisDate <= endDate): |
|
|
292 | 292 | year = thisDate.timetuple().tm_year |
|
|
293 | 293 | doy = thisDate.timetuple().tm_yday |
|
|
294 | 294 | |
|
|
295 | 295 | match = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy)) |
|
|
296 | 296 | if len(match) == 0: |
|
|
297 | 297 | thisDate += datetime.timedelta(1) |
|
|
298 | 298 | continue |
|
|
299 | 299 | |
|
|
300 | 300 | pathList.append(os.path.join(path,match[0],expLabel)) |
|
|
301 | 301 | dateList.append(thisDate) |
|
|
302 | 302 | thisDate += datetime.timedelta(1) |
|
|
303 | 303 | |
|
|
304 | 304 | filenameList = [] |
|
|
305 | 305 | for index in range(len(pathList)): |
|
|
306 | 306 | |
|
|
307 | 307 | thisPath = pathList[index] |
|
|
308 | 308 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|
309 | 309 | fileList.sort() |
|
|
310 | 310 | |
|
|
311 | 311 | #Busqueda de datos en el rango de horas indicados |
|
|
312 | 312 | thisDate = dateList[index] |
|
|
313 | 313 | startDT = datetime.datetime.combine(thisDate, startTime) |
|
|
314 | 314 | endDT = datetime.datetime.combine(thisDate, endTime) |
|
|
315 | 315 | |
|
|
316 | 316 | startUtSeconds = time.mktime(startDT.timetuple()) |
|
|
317 | 317 | endUtSeconds = time.mktime(endDT.timetuple()) |
|
|
318 | 318 | |
|
|
319 | 319 | for file in fileList: |
|
|
320 | 320 | |
|
|
321 | 321 | filename = os.path.join(thisPath,file) |
|
|
322 | 322 | |
|
|
323 | 323 | if isThisFileinRange(filename, startUtSeconds, endUtSeconds): |
|
|
324 | 324 | filenameList.append(filename) |
|
|
325 | 325 | |
|
|
326 | 326 | if not(filenameList): |
|
|
327 | 327 | return None, None |
|
|
328 | 328 | |
|
|
329 | 329 | self.filenameList = filenameList |
|
|
330 | 330 | |
|
|
331 | 331 | return pathList, filenameList |
|
|
332 | 332 | |
|
|
333 | 333 | def __searchFilesOnLine(self, path, startDate=None, endDate=None, startTime=None, endTime=None, expLabel = "", ext = None): |
|
|
334 | 334 | |
|
|
335 | 335 | """ |
|
|
336 | 336 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y |
|
|
337 | 337 | devuelve el archivo encontrado ademas de otros datos. |
|
|
338 | 338 | |
|
|
339 | 339 | Input: |
|
|
340 | 340 | path : carpeta donde estan contenidos los files que contiene data |
|
|
341 | 341 | |
|
|
342 | 342 | startDate : Fecha inicial. Rechaza todos los directorios donde |
|
|
343 | 343 | file end time < startDate (obejto datetime.date) |
|
|
344 | 344 | |
|
|
345 | 345 | endDate : Fecha final. Rechaza todos los directorios donde |
|
|
346 | 346 | file start time > endDate (obejto datetime.date) |
|
|
347 | 347 | |
|
|
348 | 348 | startTime : Tiempo inicial. Rechaza todos los archivos donde |
|
|
349 | 349 | file end time < startTime (obejto datetime.time) |
|
|
350 | 350 | |
|
|
351 | 351 | endTime : Tiempo final. Rechaza todos los archivos donde |
|
|
352 | 352 | file start time > endTime (obejto datetime.time) |
|
|
353 | 353 | |
|
|
354 | 354 | expLabel : Nombre del subexperimento (subfolder) |
|
|
355 | 355 | |
|
|
356 | 356 | ext : extension de los files |
|
|
357 | 357 | |
|
|
358 | 358 | Return: |
|
|
359 | 359 | directory : eL directorio donde esta el file encontrado |
|
|
360 | 360 | filename : el ultimo file de una determinada carpeta |
|
|
361 | 361 | year : el anho |
|
|
362 | 362 | doy : el numero de dia del anho |
|
|
363 | 363 | set : el set del archivo |
|
|
364 | 364 | |
|
|
365 | 365 | |
|
|
366 | 366 | """ |
|
|
367 | 367 | dirList = [] |
|
|
368 | 368 | pathList = [] |
|
|
369 | 369 | directory = None |
|
|
370 | 370 | |
|
|
371 | 371 | #Filtra solo los directorios |
|
|
372 | 372 | for thisPath in os.listdir(path): |
|
|
373 | 373 | if os.path.isdir(os.path.join(path, thisPath)): |
|
|
374 | 374 | dirList.append(thisPath) |
|
|
375 | 375 | |
|
|
376 | 376 | if not(dirList): |
|
|
377 | 377 | return None, None, None, None, None |
|
|
378 | 378 | |
|
|
379 | 379 | dirList = sorted( dirList, key=str.lower ) |
|
|
380 | 380 | |
|
|
381 | 381 | if startDate: |
|
|
382 | 382 | startDateTime = datetime.datetime.combine(startDate, startTime) |
|
|
383 | 383 | thisDateTime = startDateTime |
|
|
384 | 384 | if endDate == None: endDateTime = startDateTime |
|
|
385 | 385 | else: endDateTime = datetime.datetime.combine(endDate, endTime) |
|
|
386 | 386 | |
|
|
387 | 387 | while(thisDateTime <= endDateTime): |
|
|
388 | 388 | year = thisDateTime.timetuple().tm_year |
|
|
389 | 389 | doy = thisDateTime.timetuple().tm_yday |
|
|
390 | 390 | |
|
|
391 | 391 | match = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy)) |
|
|
392 | 392 | if len(match) == 0: |
|
|
393 | 393 | thisDateTime += datetime.timedelta(1) |
|
|
394 | 394 | continue |
|
|
395 | 395 | |
|
|
396 | 396 | pathList.append(os.path.join(path,match[0], expLabel)) |
|
|
397 | 397 | thisDateTime += datetime.timedelta(1) |
|
|
398 | 398 | |
|
|
399 | 399 | if not(pathList): |
|
|
400 | 400 | print "\tNo files in range: %s - %s" %(startDateTime.ctime(), endDateTime.ctime()) |
|
|
401 | 401 | return None, None, None, None, None |
|
|
402 | 402 | |
|
|
403 | 403 | directory = pathList[0] |
|
|
404 | 404 | |
|
|
405 | 405 | else: |
|
|
406 | 406 | directory = dirList[-1] |
|
|
407 | 407 | directory = os.path.join(path,directory) |
|
|
408 | 408 | |
|
|
409 | 409 | filename = getlastFileFromPath(directory, ext) |
|
|
410 | 410 | |
|
|
411 | 411 | if not(filename): |
|
|
412 | 412 | return None, None, None, None, None |
|
|
413 | 413 | |
|
|
414 | 414 | if not(self.__verifyFile(os.path.join(directory, filename))): |
|
|
415 | 415 | return None, None, None, None, None |
|
|
416 | 416 | |
|
|
417 | 417 | year = int( filename[1:5] ) |
|
|
418 | 418 | doy = int( filename[5:8] ) |
|
|
419 | 419 | set = int( filename[8:11] ) |
|
|
420 | 420 | |
|
|
421 | 421 | return directory, filename, year, doy, set |
|
|
422 | 422 | |
|
|
423 | 423 | |
|
|
424 | 424 | |
|
|
425 | 425 | def __setNextFileOffline(self): |
|
|
426 | 426 | |
|
|
427 | 427 | idFile = self.fileIndex |
|
|
428 | 428 | |
|
|
429 | 429 | while (True): |
|
|
430 | 430 | idFile += 1 |
|
|
431 | 431 | if not(idFile < len(self.filenameList)): |
|
|
432 | 432 | self.flagNoMoreFiles = 1 |
|
|
433 | 433 | print "No more Files" |
|
|
434 | 434 | return 0 |
|
|
435 | 435 | |
|
|
436 | 436 | filename = self.filenameList[idFile] |
|
|
437 | 437 | |
|
|
438 | 438 | if not(self.__verifyFile(filename)): |
|
|
439 | 439 | continue |
|
|
440 | 440 | |
|
|
441 | 441 | fileSize = os.path.getsize(filename) |
|
|
442 | 442 | fp = open(filename,'rb') |
|
|
443 | 443 | break |
|
|
444 | 444 | |
|
|
445 | 445 | self.flagIsNewFile = 1 |
|
|
446 | 446 | self.fileIndex = idFile |
|
|
447 | 447 | self.filename = filename |
|
|
448 | 448 | self.fileSize = fileSize |
|
|
449 | 449 | self.fp = fp |
|
|
450 | 450 | |
|
|
451 | 451 | print "Setting the file: %s"%self.filename |
|
|
452 | 452 | |
|
|
453 | 453 | return 1 |
|
|
454 | 454 | |
|
|
455 | 455 | def __setNextFileOnline(self): |
|
|
456 | 456 | """ |
|
|
457 | 457 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si |
|
|
458 | 458 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files |
|
|
459 | 459 | siguientes. |
|
|
460 | 460 | |
|
|
461 | 461 | Affected: |
|
|
462 | 462 | self.flagIsNewFile |
|
|
463 | 463 | self.filename |
|
|
464 | 464 | self.fileSize |
|
|
465 | 465 | self.fp |
|
|
466 | 466 | self.set |
|
|
467 | 467 | self.flagNoMoreFiles |
|
|
468 | 468 | |
|
|
469 | 469 | Return: |
|
|
470 | 470 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado |
|
|
471 | 471 | 1 : si el file fue abierto con exito y esta listo a ser leido |
|
|
472 | 472 | |
|
|
473 | 473 | Excepciones: |
|
|
474 | 474 | Si un determinado file no puede ser abierto |
|
|
475 | 475 | """ |
|
|
476 | 476 | nFiles = 0 |
|
|
477 | 477 | fileOk_flag = False |
|
|
478 | 478 | firstTime_flag = True |
|
|
479 | 479 | |
|
|
480 | 480 | self.set += 1 |
|
|
481 | 481 | |
|
|
482 | 482 | #busca el 1er file disponible |
|
|
483 | 483 | file, filename = checkForRealPath( self.path, self.year, self.doy, self.set, self.ext ) |
|
|
484 | 484 | if file: |
|
|
485 | 485 | if self.__verifyFile(file, False): |
|
|
486 | 486 | fileOk_flag = True |
|
|
487 | 487 | |
|
|
488 | 488 | #si no encuentra un file entonces espera y vuelve a buscar |
|
|
489 | 489 | if not(fileOk_flag): |
|
|
490 | 490 | for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles |
|
|
491 | 491 | |
|
|
492 | 492 | if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces |
|
|
493 | 493 | tries = self.nTries |
|
|
494 | 494 | else: |
|
|
495 | 495 | tries = 1 #si no es la 1era vez entonces solo lo hace una vez |
|
|
496 | 496 | |
|
|
497 | 497 | for nTries in range( tries ): |
|
|
498 | 498 | if firstTime_flag: |
|
|
499 | 499 | print "\tWaiting %0.2f sec for the file \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 ) |
|
|
500 | 500 | time.sleep( self.delay ) |
|
|
501 | 501 | else: |
|
|
502 | 502 | print "\tSearching next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext) |
|
|
503 | 503 | |
|
|
504 | 504 | file, filename = checkForRealPath( self.path, self.year, self.doy, self.set, self.ext ) |
|
|
505 | 505 | if file: |
|
|
506 | 506 | if self.__verifyFile(file): |
|
|
507 | 507 | fileOk_flag = True |
|
|
508 | 508 | break |
|
|
509 | 509 | |
|
|
510 | 510 | if fileOk_flag: |
|
|
511 | 511 | break |
|
|
512 | 512 | |
|
|
513 | 513 | firstTime_flag = False |
|
|
514 | 514 | |
|
|
515 | 515 | print "\tSkipping the file \"%s\" due to this file doesn't exist" % filename |
|
|
516 | 516 | self.set += 1 |
|
|
517 | 517 | |
|
|
518 | 518 | if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta |
|
|
519 | 519 | self.set = 0 |
|
|
520 | 520 | self.doy += 1 |
|
|
521 | 521 | |
|
|
522 | 522 | if fileOk_flag: |
|
|
523 | 523 | self.fileSize = os.path.getsize( file ) |
|
|
524 | 524 | self.filename = file |
|
|
525 | 525 | self.flagIsNewFile = 1 |
|
|
526 | 526 | if self.fp != None: self.fp.close() |
|
|
527 | 527 | self.fp = open(file) |
|
|
528 | 528 | self.flagNoMoreFiles = 0 |
|
|
529 | 529 | print 'Setting the file: %s' % file |
|
|
530 | 530 | else: |
|
|
531 | 531 | self.fileSize = 0 |
|
|
532 | 532 | self.filename = None |
|
|
533 | 533 | self.flagIsNewFile = 0 |
|
|
534 | 534 | self.fp = None |
|
|
535 | 535 | self.flagNoMoreFiles = 1 |
|
|
536 | 536 | print 'No more Files' |
|
|
537 | 537 | |
|
|
538 | 538 | return fileOk_flag |
|
|
539 | 539 | |
|
|
540 | 540 | |
|
|
541 | 541 | def setNextFile(self): |
|
|
542 | 542 | if self.fp != None: |
|
|
543 | 543 | self.fp.close() |
|
|
544 | 544 | |
|
|
545 | 545 | if self.online: |
|
|
546 | 546 | newFile = self.__setNextFileOnline() |
|
|
547 | 547 | else: |
|
|
548 | 548 | newFile = self.__setNextFileOffline() |
|
|
549 | 549 | |
|
|
550 | 550 | if not(newFile): |
|
|
551 | 551 | return 0 |
|
|
552 | 552 | |
|
|
553 | 553 | self.__readFirstHeader() |
|
|
554 | 554 | self.nReadBlocks = 0 |
|
|
555 | 555 | return 1 |
|
|
556 | 556 | |
|
|
557 | 557 | def __setNewBlock(self): |
|
|
558 | 558 | if self.fp == None: |
|
|
559 | 559 | return 0 |
|
|
560 | 560 | |
|
|
561 | 561 | if self.flagIsNewFile: |
|
|
562 | 562 | return 1 |
|
|
563 | 563 | |
|
|
564 | 564 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
565 | 565 | currentSize = self.fileSize - self.fp.tell() |
|
|
566 | 566 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
567 | 567 | |
|
|
568 | 568 | if (currentSize >= neededSize): |
|
|
569 | 569 | self.__rdBasicHeader() |
|
|
570 | 570 | return 1 |
|
|
571 | 571 | |
|
|
572 | 572 | if not(self.setNextFile()): |
|
|
573 | 573 | return 0 |
|
|
574 | 574 | |
|
|
575 | 575 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime # |
|
|
576 | 576 | |
|
|
577 | 577 | self.flagTimeBlock = 0 |
|
|
578 | 578 | |
|
|
579 | 579 | if deltaTime > self.maxTimeStep: |
|
|
580 | 580 | self.flagTimeBlock = 1 |
|
|
581 | 581 | |
|
|
582 | 582 | return 1 |
|
|
583 | 583 | |
|
|
584 | 584 | |
|
|
585 | 585 | def readNextBlock(self): |
|
|
586 | 586 | if not(self.__setNewBlock()): |
|
|
587 | 587 | return 0 |
|
|
588 | 588 | |
|
|
589 | 589 | if not(self.readBlock()): |
|
|
590 | 590 | return 0 |
|
|
591 | 591 | |
|
|
592 | 592 | return 1 |
|
|
593 | 593 | |
|
|
594 | 594 | def __rdProcessingHeader(self, fp=None): |
|
|
595 | 595 | if fp == None: |
|
|
596 | 596 | fp = self.fp |
|
|
597 | 597 | |
|
|
598 | 598 | self.processingHeaderObj.read(fp) |
|
|
599 | 599 | |
|
|
600 | 600 | def __rdRadarControllerHeader(self, fp=None): |
|
|
601 | 601 | if fp == None: |
|
|
602 | 602 | fp = self.fp |
|
|
603 | 603 | |
|
|
604 | 604 | self.radarControllerHeaderObj.read(fp) |
|
|
605 | 605 | |
|
|
606 | 606 | def __rdSystemHeader(self, fp=None): |
|
|
607 | 607 | if fp == None: |
|
|
608 | 608 | fp = self.fp |
|
|
609 | 609 | |
|
|
610 | 610 | self.systemHeaderObj.read(fp) |
|
|
611 | 611 | |
|
|
612 | 612 | def __rdBasicHeader(self, fp=None): |
|
|
613 | 613 | if fp == None: |
|
|
614 | 614 | fp = self.fp |
|
|
615 | 615 | |
|
|
616 | 616 | self.basicHeaderObj.read(fp) |
|
|
617 | 617 | |
|
|
618 | 618 | |
|
|
619 | 619 | def __readFirstHeader(self): |
|
|
620 | 620 | self.__rdBasicHeader() |
|
|
621 | 621 | self.__rdSystemHeader() |
|
|
622 | 622 | self.__rdRadarControllerHeader() |
|
|
623 | 623 | self.__rdProcessingHeader() |
|
|
624 | 624 | |
|
|
625 | 625 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
626 | 626 | |
|
|
627 | 627 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
628 | 628 | if datatype == 0: |
|
|
629 | 629 | datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
630 | 630 | elif datatype == 1: |
|
|
631 | 631 | datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
632 | 632 | elif datatype == 2: |
|
|
633 | 633 | datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
634 | 634 | elif datatype == 3: |
|
|
635 | 635 | datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
636 | 636 | elif datatype == 4: |
|
|
637 | 637 | datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
638 | 638 | elif datatype == 5: |
|
|
639 | 639 | datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
640 | 640 | else: |
|
|
641 | 641 | raise ValueError, 'Data type was not defined' |
|
|
642 | 642 | |
|
|
643 | 643 | self.dtype = datatype_str |
|
|
644 | 644 | self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
645 | 645 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
646 | 646 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
647 | 647 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
648 | 648 | self.getBlockDimension() |
|
|
649 | 649 | |
|
|
650 | 650 | |
|
|
651 | 651 | def __verifyFile(self, filename, msgFlag=True): |
|
|
652 | 652 | msg = None |
|
|
653 | 653 | try: |
|
|
654 | 654 | fp = open(filename, 'rb') |
|
|
655 | 655 | currentPosition = fp.tell() |
|
|
656 | 656 | except: |
|
|
657 | 657 | if msgFlag: |
|
|
658 | 658 | print "The file %s can't be opened" % (filename) |
|
|
659 | 659 | return False |
|
|
660 | 660 | |
|
|
661 | 661 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize |
|
|
662 | 662 | |
|
|
663 | 663 | if neededSize == 0: |
|
|
664 | 664 | basicHeaderObj = BasicHeader() |
|
|
665 | 665 | systemHeaderObj = SystemHeader() |
|
|
666 | 666 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
667 | 667 | processingHeaderObj = ProcessingHeader() |
|
|
668 | 668 | |
|
|
669 | 669 | try: |
|
|
670 | 670 | if not( basicHeaderObj.read(fp) ): raise ValueError |
|
|
671 | 671 | if not( systemHeaderObj.read(fp) ): raise ValueError |
|
|
672 | 672 | if not( radarControllerHeaderObj.read(fp) ): raise ValueError |
|
|
673 | 673 | if not( processingHeaderObj.read(fp) ): raise ValueError |
|
|
674 | 674 | data_type = int(numpy.log2((processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
675 | 675 | |
|
|
676 | 676 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size |
|
|
677 | 677 | |
|
|
678 | 678 | except: |
|
|
679 | 679 | if msgFlag: |
|
|
680 | 680 | print "\tThe file %s is empty or it hasn't enough data" % filename |
|
|
681 | 681 | |
|
|
682 | 682 | fp.close() |
|
|
683 | 683 | return False |
|
|
684 | 684 | else: |
|
|
685 | 685 | msg = "\tSkipping the file %s due to it hasn't enough data" %filename |
|
|
686 | 686 | |
|
|
687 | 687 | fp.close() |
|
|
688 | 688 | fileSize = os.path.getsize(filename) |
|
|
689 | 689 | currentSize = fileSize - currentPosition |
|
|
690 | 690 | if currentSize < neededSize: |
|
|
691 | 691 | if msgFlag and (msg != None): |
|
|
692 | 692 | print msg #print"\tSkipping the file %s due to it hasn't enough data" %filename |
|
|
693 | 693 | return False |
|
|
694 | 694 | |
|
|
695 | 695 | return True |
|
|
696 | 696 | |
|
|
697 | 697 | def setup(self, |
|
|
698 | 698 | path=None, |
|
|
699 | 699 | startDate=None, |
|
|
700 | 700 | endDate=None, |
|
|
701 | 701 | startTime=datetime.time(0,0,0), |
|
|
702 | 702 | endTime=datetime.time(23,59,59), |
|
|
703 | 703 | set=0, |
|
|
704 | 704 | expLabel = "", |
|
|
705 | 705 | ext = None, |
|
|
706 | 706 | online = False, |
|
|
707 | 707 | delay = 60): |
|
|
708 | 708 | |
|
|
709 | 709 | if path == None: |
|
|
710 | 710 | raise ValueError, "The path is not valid" |
|
|
711 | 711 | |
|
|
712 | 712 | if ext == None: |
|
|
713 | 713 | ext = self.ext |
|
|
714 | 714 | |
|
|
715 | 715 | if online: |
|
|
716 | 716 | print "Searching files in online mode..." |
|
|
717 | 717 | doypath, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext) |
|
|
718 | 718 | |
|
|
719 | 719 | if not(doypath): |
|
|
720 | 720 | for nTries in range( self.nTries ): |
|
|
721 | 721 | print '\tWaiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1) |
|
|
722 | 722 | time.sleep( self.delay ) |
|
|
723 | 723 | doypath, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext) |
|
|
724 | 724 | if doypath: |
|
|
725 | 725 | break |
|
|
726 | 726 | |
|
|
727 | 727 | if not(doypath): |
|
|
728 | 728 | print "There 'isn't valied files in %s" % path |
|
|
729 | 729 | return None |
|
|
730 | 730 | |
|
|
731 | 731 | self.year = year |
|
|
732 | 732 | self.doy = doy |
|
|
733 | 733 | self.set = set - 1 |
|
|
734 | 734 | self.path = path |
|
|
735 | 735 | |
|
|
736 | 736 | else: |
|
|
737 | 737 | print "Searching files in offline mode ..." |
|
|
738 | 738 | pathList, filenameList = self.__searchFilesOffLine(path, startDate, endDate, startTime, endTime, set, expLabel, ext) |
|
|
739 | 739 | |
|
|
740 | 740 | if not(pathList): |
|
|
741 | 741 | print "No *%s files into the folder %s \nfor the range: %s - %s"%(ext, path, |
|
|
742 | 742 | datetime.datetime.combine(startDate,startTime).ctime(), |
|
|
743 | 743 | datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
744 | 744 | |
|
|
745 | 745 | sys.exit(-1) |
|
|
746 | 746 | |
|
|
747 | 747 | |
|
|
748 | 748 | self.fileIndex = -1 |
|
|
749 | 749 | self.pathList = pathList |
|
|
750 | 750 | self.filenameList = filenameList |
|
|
751 | 751 | |
|
|
752 | 752 | self.online = online |
|
|
753 | 753 | self.delay = delay |
|
|
754 | 754 | ext = ext.lower() |
|
|
755 | 755 | self.ext = ext |
|
|
756 | 756 | |
|
|
757 | 757 | if not(self.setNextFile()): |
|
|
758 | 758 | if (startDate!=None) and (endDate!=None): |
|
|
759 | 759 | print "No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
760 | 760 | elif startDate != None: |
|
|
761 | 761 | print "No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime()) |
|
|
762 | 762 | else: |
|
|
763 | 763 | print "No files" |
|
|
764 | 764 | |
|
|
765 | 765 | sys.exit(-1) |
|
|
766 | 766 | |
|
|
767 | 767 | # self.updateDataHeader() |
|
|
768 | 768 | |
|
|
769 | 769 | return self.dataOut |
|
|
770 | 770 | |
|
|
771 | 771 | def getData(): |
|
|
772 | 772 | |
|
|
773 | 773 | raise ValueError, "This method has not been implemented" |
|
|
774 | 774 | |
|
|
775 | 775 | def hasNotDataInBuffer(): |
|
|
776 | 776 | |
|
|
777 | 777 | raise ValueError, "This method has not been implemented" |
|
|
778 | 778 | |
|
|
779 | 779 | def readBlock(): |
|
|
780 | 780 | |
|
|
781 | 781 | raise ValueError, "This method has not been implemented" |
|
|
782 | 782 | |
|
|
783 | 783 | def isEndProcess(self): |
|
|
784 | 784 | |
|
|
785 | 785 | return self.flagNoMoreFiles |
|
|
786 | 786 | |
|
|
787 | 787 | def printReadBlocks(self): |
|
|
788 | 788 | |
|
|
789 | 789 | print "Number of read blocks per file %04d" %self.nReadBlocks |
|
|
790 | 790 | |
|
|
791 | 791 | def printTotalBlocks(self): |
|
|
792 | 792 | |
|
|
793 | 793 | print "Number of read blocks %04d" %self.nTotalBlocks |
|
|
794 | 794 | |
|
|
795 | 795 | def run(self, **kwargs): |
|
|
796 | 796 | |
|
|
797 | 797 | if not(self.isConfig): |
|
|
798 | 798 | |
|
|
799 | 799 | # self.dataOut = dataOut |
|
|
800 | 800 | self.setup(**kwargs) |
|
|
801 | 801 | self.isConfig = True |
|
|
802 | 802 | |
|
|
803 | 803 | self.getData() |
|
|
804 | 804 | |
|
|
805 | 805 | class JRODataWriter(JRODataIO, Operation): |
|
|
806 | 806 | |
|
|
807 | 807 | """ |
|
|
808 | 808 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
809 | 809 | de los datos siempre se realiza por bloques. |
|
|
810 | 810 | """ |
|
|
811 | 811 | |
|
|
812 | 812 | blockIndex = 0 |
|
|
813 | 813 | |
|
|
814 | 814 | path = None |
|
|
815 | 815 | |
|
|
816 | 816 | setFile = None |
|
|
817 | 817 | |
|
|
818 | 818 | profilesPerBlock = None |
|
|
819 | 819 | |
|
|
820 | 820 | blocksPerFile = None |
|
|
821 | 821 | |
|
|
822 | 822 | nWriteBlocks = 0 |
|
|
823 | 823 | |
|
|
824 | 824 | def __init__(self, dataOut=None): |
|
|
825 | 825 | raise ValueError, "Not implemented" |
|
|
826 | 826 | |
|
|
827 | 827 | |
|
|
828 | 828 | def hasAllDataInBuffer(self): |
|
|
829 | 829 | raise ValueError, "Not implemented" |
|
|
830 | 830 | |
|
|
831 | 831 | |
|
|
832 | 832 | def setBlockDimension(self): |
|
|
833 | 833 | raise ValueError, "Not implemented" |
|
|
834 | 834 | |
|
|
835 | 835 | |
|
|
836 | 836 | def writeBlock(self): |
|
|
837 | 837 | raise ValueError, "No implemented" |
|
|
838 | 838 | |
|
|
839 | 839 | |
|
|
840 | 840 | def putData(self): |
|
|
841 | 841 | raise ValueError, "No implemented" |
|
|
842 | 842 | |
|
|
843 | 843 | def getDataHeader(self): |
|
|
844 | 844 | """ |
|
|
845 | 845 | Obtiene una copia del First Header |
|
|
846 | 846 | |
|
|
847 | 847 | Affected: |
|
|
848 | 848 | |
|
|
849 | 849 | self.basicHeaderObj |
|
|
850 | 850 | self.systemHeaderObj |
|
|
851 | 851 | self.radarControllerHeaderObj |
|
|
852 | 852 | self.processingHeaderObj self. |
|
|
853 | 853 | |
|
|
854 | 854 | Return: |
|
|
855 | 855 | None |
|
|
856 | 856 | """ |
|
|
857 | 857 | |
|
|
858 | 858 | raise ValueError, "No implemented" |
|
|
859 | 859 | |
|
|
860 | 860 | def getBasicHeader(self): |
|
|
861 | 861 | |
|
|
862 | 862 | self.basicHeaderObj.size = self.basicHeaderSize #bytes |
|
|
863 | 863 | self.basicHeaderObj.version = self.versionFile |
|
|
864 | 864 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
865 | 865 | |
|
|
866 | 866 | utc = numpy.floor(self.dataOut.utctime) |
|
|
867 | 867 | milisecond = (self.dataOut.utctime - utc)* 1000.0 |
|
|
868 | 868 | |
|
|
869 | 869 | self.basicHeaderObj.utc = utc |
|
|
870 | 870 | self.basicHeaderObj.miliSecond = milisecond |
|
|
871 | 871 | self.basicHeaderObj.timeZone = 0 |
|
|
872 | 872 | self.basicHeaderObj.dstFlag = 0 |
|
|
873 | 873 | self.basicHeaderObj.errorCount = 0 |
|
|
874 | 874 | |
|
|
875 | 875 | def __writeFirstHeader(self): |
|
|
876 | 876 | """ |
|
|
877 | 877 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
878 | 878 | |
|
|
879 | 879 | Affected: |
|
|
880 | 880 | __dataType |
|
|
881 | 881 | |
|
|
882 | 882 | Return: |
|
|
883 | 883 | None |
|
|
884 | 884 | """ |
|
|
885 | 885 | |
|
|
886 | 886 | # CALCULAR PARAMETROS |
|
|
887 | 887 | |
|
|
888 | 888 | sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
889 | 889 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
890 | 890 | |
|
|
891 | 891 | self.basicHeaderObj.write(self.fp) |
|
|
892 | 892 | self.systemHeaderObj.write(self.fp) |
|
|
893 | 893 | self.radarControllerHeaderObj.write(self.fp) |
|
|
894 | 894 | self.processingHeaderObj.write(self.fp) |
|
|
895 | 895 | |
|
|
896 | 896 | self.dtype = self.dataOut.dtype |
|
|
897 | 897 | |
|
|
898 | 898 | def __setNewBlock(self): |
|
|
899 | 899 | """ |
|
|
900 | 900 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
901 | 901 | |
|
|
902 | 902 | Return: |
|
|
903 | 903 | 0 : si no pudo escribir nada |
|
|
904 | 904 | 1 : Si escribio el Basic el First Header |
|
|
905 | 905 | """ |
|
|
906 | 906 | if self.fp == None: |
|
|
907 | 907 | self.setNextFile() |
|
|
908 | 908 | |
|
|
909 | 909 | if self.flagIsNewFile: |
|
|
910 | 910 | return 1 |
|
|
911 | 911 | |
|
|
912 | 912 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
913 | 913 | self.basicHeaderObj.write(self.fp) |
|
|
914 | 914 | return 1 |
|
|
915 | 915 | |
|
|
916 | 916 | if not( self.setNextFile() ): |
|
|
917 | 917 | return 0 |
|
|
918 | 918 | |
|
|
919 | 919 | return 1 |
|
|
920 | 920 | |
|
|
921 | 921 | |
|
|
922 | 922 | def writeNextBlock(self): |
|
|
923 | 923 | """ |
|
|
924 | 924 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
925 | 925 | |
|
|
926 | 926 | Return: |
|
|
927 | 927 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
928 | 928 | 1 : Si no pudo escribir el bloque de datos |
|
|
929 | 929 | """ |
|
|
930 | 930 | if not( self.__setNewBlock() ): |
|
|
931 | 931 | return 0 |
|
|
932 | 932 | |
|
|
933 | 933 | self.writeBlock() |
|
|
934 | 934 | |
|
|
935 | 935 | return 1 |
|
|
936 | 936 | |
|
|
937 | 937 | def setNextFile(self): |
|
|
938 | 938 | """ |
|
|
939 | 939 | Determina el siguiente file que sera escrito |
|
|
940 | 940 | |
|
|
941 | 941 | Affected: |
|
|
942 | 942 | self.filename |
|
|
943 | 943 | self.subfolder |
|
|
944 | 944 | self.fp |
|
|
945 | 945 | self.setFile |
|
|
946 | 946 | self.flagIsNewFile |
|
|
947 | 947 | |
|
|
948 | 948 | Return: |
|
|
949 | 949 | 0 : Si el archivo no puede ser escrito |
|
|
950 | 950 | 1 : Si el archivo esta listo para ser escrito |
|
|
951 | 951 | """ |
|
|
952 | 952 | ext = self.ext |
|
|
953 | 953 | path = self.path |
|
|
954 | 954 | |
|
|
955 | 955 | if self.fp != None: |
|
|
956 | 956 | self.fp.close() |
|
|
957 | 957 | |
|
|
958 | 958 | timeTuple = time.localtime( self.dataOut.dataUtcTime) |
|
|
959 | 959 | subfolder = 'D%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|
960 | 960 | |
|
|
961 | 961 | doypath = os.path.join( path, subfolder ) |
|
|
962 | 962 | if not( os.path.exists(doypath) ): |
|
|
963 | 963 | os.mkdir(doypath) |
|
|
964 | 964 | self.setFile = -1 #inicializo mi contador de seteo |
|
|
965 | 965 | else: |
|
|
966 | 966 | filesList = os.listdir( doypath ) |
|
|
967 | 967 | if len( filesList ) > 0: |
|
|
968 | 968 | filesList = sorted( filesList, key=str.lower ) |
|
|
969 | 969 | filen = filesList[-1] |
|
|
970 | 970 | # el filename debera tener el siguiente formato |
|
|
971 | 971 | # 0 1234 567 89A BCDE (hex) |
|
|
972 | 972 | # x YYYY DDD SSS .ext |
|
|
973 | 973 | if isNumber( filen[8:11] ): |
|
|
974 | 974 | self.setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
|
975 | 975 | else: |
|
|
976 | 976 | self.setFile = -1 |
|
|
977 | 977 | else: |
|
|
978 | 978 | self.setFile = -1 #inicializo mi contador de seteo |
|
|
979 | 979 | |
|
|
980 | 980 | setFile = self.setFile |
|
|
981 | 981 | setFile += 1 |
|
|
982 | 982 | |
|
|
983 | 983 | file = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, |
|
|
984 | 984 | timeTuple.tm_year, |
|
|
985 | 985 | timeTuple.tm_yday, |
|
|
986 | 986 | setFile, |
|
|
987 | 987 | ext ) |
|
|
988 | 988 | |
|
|
989 | 989 | filename = os.path.join( path, subfolder, file ) |
|
|
990 | 990 | |
|
|
991 | 991 | fp = open( filename,'wb' ) |
|
|
992 | 992 | |
|
|
993 | 993 | self.blockIndex = 0 |
|
|
994 | 994 | |
|
|
995 | 995 | #guardando atributos |
|
|
996 | 996 | self.filename = filename |
|
|
997 | 997 | self.subfolder = subfolder |
|
|
998 | 998 | self.fp = fp |
|
|
999 | 999 | self.setFile = setFile |
|
|
1000 | 1000 | self.flagIsNewFile = 1 |
|
|
1001 | 1001 | |
|
|
1002 | 1002 | self.getDataHeader() |
|
|
1003 | 1003 | |
|
|
1004 | 1004 | print 'Writing the file: %s'%self.filename |
|
|
1005 | 1005 | |
|
|
1006 | 1006 | self.__writeFirstHeader() |
|
|
1007 | 1007 | |
|
|
1008 | 1008 | return 1 |
|
|
1009 | 1009 | |
|
|
1010 | 1010 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=None, set=0, ext=None): |
|
|
1011 | 1011 | """ |
|
|
1012 | 1012 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
1013 | 1013 | |
|
|
1014 | 1014 | Inputs: |
|
|
1015 | 1015 | path : el path destino en el cual se escribiran los files a crear |
|
|
1016 | 1016 | format : formato en el cual sera salvado un file |
|
|
1017 | 1017 | set : el setebo del file |
|
|
1018 | 1018 | |
|
|
1019 | 1019 | Return: |
|
|
1020 | 1020 | 0 : Si no realizo un buen seteo |
|
|
1021 | 1021 | 1 : Si realizo un buen seteo |
|
|
1022 | 1022 | """ |
|
|
1023 | 1023 | |
|
|
1024 | 1024 | if ext == None: |
|
|
1025 | 1025 | ext = self.ext |
|
|
1026 | 1026 | |
|
|
1027 | 1027 | ext = ext.lower() |
|
|
1028 | 1028 | |
|
|
1029 | 1029 | self.ext = ext |
|
|
1030 | 1030 | |
|
|
1031 | 1031 | self.path = path |
|
|
1032 | 1032 | |
|
|
1033 | 1033 | self.setFile = set - 1 |
|
|
1034 | 1034 | |
|
|
1035 | 1035 | self.blocksPerFile = blocksPerFile |
|
|
1036 | 1036 | |
|
|
1037 | 1037 | self.profilesPerBlock = profilesPerBlock |
|
|
1038 | 1038 | |
|
|
1039 | 1039 | self.dataOut = dataOut |
|
|
1040 | 1040 | |
|
|
1041 | 1041 | if not(self.setNextFile()): |
|
|
1042 | 1042 | print "There isn't a next file" |
|
|
1043 | 1043 | return 0 |
|
|
1044 | 1044 | |
|
|
1045 | 1045 | self.setBlockDimension() |
|
|
1046 | 1046 | |
|
|
1047 | 1047 | return 1 |
|
|
1048 | 1048 | |
|
|
1049 | 1049 | def run(self, dataOut, **kwargs): |
|
|
1050 | 1050 | |
|
|
1051 | 1051 | if not(self.isConfig): |
|
|
1052 | 1052 | |
|
|
1053 | 1053 | self.setup(dataOut, **kwargs) |
|
|
1054 | 1054 | self.isConfig = True |
|
|
1055 | 1055 | |
|
|
1056 | 1056 | self.putData() |
|
|
1057 | 1057 | |
|
|
1058 | 1058 | class VoltageReader(JRODataReader): |
|
|
1059 | 1059 | """ |
|
|
1060 | 1060 | Esta clase permite leer datos de voltage desde archivos en formato rawdata (.r). La lectura |
|
|
1061 | 1061 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones: |
|
|
1062 | 1062 | perfiles*alturas*canales) son almacenados en la variable "buffer". |
|
|
1063 | 1063 | |
|
|
1064 | 1064 | perfiles * alturas * canales |
|
|
1065 | 1065 | |
|
|
1066 | 1066 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|
1067 | 1067 | RadarControllerHeader y Voltage. Los tres primeros se usan para almacenar informacion de la |
|
|
1068 | 1068 | cabecera de datos (metadata), y el cuarto (Voltage) para obtener y almacenar un perfil de |
|
|
1069 | 1069 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|
1070 | 1070 | |
|
|
1071 | 1071 | Example: |
|
|
1072 | 1072 | |
|
|
1073 | 1073 | dpath = "/home/myuser/data" |
|
|
1074 | 1074 | |
|
|
1075 | 1075 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|
1076 | 1076 | |
|
|
1077 | 1077 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|
1078 | 1078 | |
|
|
1079 | 1079 | readerObj = VoltageReader() |
|
|
1080 | 1080 | |
|
|
1081 | 1081 | readerObj.setup(dpath, startTime, endTime) |
|
|
1082 | 1082 | |
|
|
1083 | 1083 | while(True): |
|
|
1084 | 1084 | |
|
|
1085 | 1085 | #to get one profile |
|
|
1086 | 1086 | profile = readerObj.getData() |
|
|
1087 | 1087 | |
|
|
1088 | 1088 | #print the profile |
|
|
1089 | 1089 | print profile |
|
|
1090 | 1090 | |
|
|
1091 | 1091 | #If you want to see all datablock |
|
|
1092 | 1092 | print readerObj.datablock |
|
|
1093 | 1093 | |
|
|
1094 | 1094 | if readerObj.flagNoMoreFiles: |
|
|
1095 | 1095 | break |
|
|
1096 | 1096 | |
|
|
1097 | 1097 | """ |
|
|
1098 | 1098 | |
|
|
1099 | 1099 | ext = ".r" |
|
|
1100 | 1100 | |
|
|
1101 | 1101 | optchar = "D" |
|
|
1102 | 1102 | dataOut = None |
|
|
1103 | 1103 | |
|
|
1104 | 1104 | |
|
|
1105 | 1105 | def __init__(self): |
|
|
1106 | 1106 | """ |
|
|
1107 | 1107 | Inicializador de la clase VoltageReader para la lectura de datos de voltage. |
|
|
1108 | 1108 | |
|
|
1109 | 1109 | Input: |
|
|
1110 | 1110 | dataOut : Objeto de la clase Voltage. Este objeto sera utilizado para |
|
|
1111 | 1111 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|
1112 | 1112 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|
1113 | 1113 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|
1114 | 1114 | bloque de datos. |
|
|
1115 | 1115 | Si este parametro no es pasado se creara uno internamente. |
|
|
1116 | 1116 | |
|
|
1117 | 1117 | Variables afectadas: |
|
|
1118 | 1118 | self.dataOut |
|
|
1119 | 1119 | |
|
|
1120 | 1120 | Return: |
|
|
1121 | 1121 | None |
|
|
1122 | 1122 | """ |
|
|
1123 | 1123 | |
|
|
1124 | 1124 | self.isConfig = False |
|
|
1125 | 1125 | |
|
|
1126 | 1126 | self.datablock = None |
|
|
1127 | 1127 | |
|
|
1128 | 1128 | self.utc = 0 |
|
|
1129 | 1129 | |
|
|
1130 | 1130 | self.ext = ".r" |
|
|
1131 | 1131 | |
|
|
1132 | 1132 | self.optchar = "D" |
|
|
1133 | 1133 | |
|
|
1134 | 1134 | self.basicHeaderObj = BasicHeader() |
|
|
1135 | 1135 | |
|
|
1136 | 1136 | self.systemHeaderObj = SystemHeader() |
|
|
1137 | 1137 | |
|
|
1138 | 1138 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
1139 | 1139 | |
|
|
1140 | 1140 | self.processingHeaderObj = ProcessingHeader() |
|
|
1141 | 1141 | |
|
|
1142 | 1142 | self.online = 0 |
|
|
1143 | 1143 | |
|
|
1144 | 1144 | self.fp = None |
|
|
1145 | 1145 | |
|
|
1146 | 1146 | self.idFile = None |
|
|
1147 | 1147 | |
|
|
1148 | 1148 | self.dtype = None |
|
|
1149 | 1149 | |
|
|
1150 | 1150 | self.fileSizeByHeader = None |
|
|
1151 | 1151 | |
|
|
1152 | 1152 | self.filenameList = [] |
|
|
1153 | 1153 | |
|
|
1154 | 1154 | self.filename = None |
|
|
1155 | 1155 | |
|
|
1156 | 1156 | self.fileSize = None |
|
|
1157 | 1157 | |
|
|
1158 | 1158 | self.firstHeaderSize = 0 |
|
|
1159 | 1159 | |
|
|
1160 | 1160 | self.basicHeaderSize = 24 |
|
|
1161 | 1161 | |
|
|
1162 | 1162 | self.pathList = [] |
|
|
1163 | 1163 | |
|
|
1164 | 1164 | self.filenameList = [] |
|
|
1165 | 1165 | |
|
|
1166 | 1166 | self.lastUTTime = 0 |
|
|
1167 | 1167 | |
|
|
1168 | 1168 | self.maxTimeStep = 30 |
|
|
1169 | 1169 | |
|
|
1170 | 1170 | self.flagNoMoreFiles = 0 |
|
|
1171 | 1171 | |
|
|
1172 | 1172 | self.set = 0 |
|
|
1173 | 1173 | |
|
|
1174 | 1174 | self.path = None |
|
|
1175 | 1175 | |
|
|
1176 | 1176 | self.profileIndex = 9999 |
|
|
1177 | 1177 | |
|
|
1178 | 1178 | self.delay = 3 #seconds |
|
|
1179 | 1179 | |
|
|
1180 | 1180 | self.nTries = 3 #quantity tries |
|
|
1181 | 1181 | |
|
|
1182 | 1182 | self.nFiles = 3 #number of files for searching |
|
|
1183 | 1183 | |
|
|
1184 | 1184 | self.nReadBlocks = 0 |
|
|
1185 | 1185 | |
|
|
1186 | 1186 | self.flagIsNewFile = 1 |
|
|
1187 | 1187 | |
|
|
1188 | 1188 | self.ippSeconds = 0 |
|
|
1189 | 1189 | |
|
|
1190 | 1190 | self.flagTimeBlock = 0 |
|
|
1191 | 1191 | |
|
|
1192 | 1192 | self.flagIsNewBlock = 0 |
|
|
1193 | 1193 | |
|
|
1194 | 1194 | self.nTotalBlocks = 0 |
|
|
1195 | 1195 | |
|
|
1196 | 1196 | self.blocksize = 0 |
|
|
1197 | 1197 | |
|
|
1198 | 1198 | self.dataOut = self.createObjByDefault() |
|
|
1199 | 1199 | |
|
|
1200 | 1200 | def createObjByDefault(self): |
|
|
1201 | 1201 | |
|
|
1202 | 1202 | dataObj = Voltage() |
|
|
1203 | 1203 | |
|
|
1204 | 1204 | return dataObj |
|
|
1205 | 1205 | |
|
|
1206 | 1206 | def __hasNotDataInBuffer(self): |
|
|
1207 | 1207 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|
1208 | 1208 | return 1 |
|
|
1209 | 1209 | return 0 |
|
|
1210 | 1210 | |
|
|
1211 | 1211 | |
|
|
1212 | 1212 | def getBlockDimension(self): |
|
|
1213 | 1213 | """ |
|
|
1214 | 1214 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|
1215 | 1215 | |
|
|
1216 | 1216 | Affected: |
|
|
1217 | 1217 | self.blocksize |
|
|
1218 | 1218 | |
|
|
1219 | 1219 | Return: |
|
|
1220 | 1220 | None |
|
|
1221 | 1221 | """ |
|
|
1222 | 1222 | pts2read = self.processingHeaderObj.profilesPerBlock * self.processingHeaderObj.nHeights * self.systemHeaderObj.nChannels |
|
|
1223 | 1223 | self.blocksize = pts2read |
|
|
1224 | 1224 | |
|
|
1225 | 1225 | |
|
|
1226 | 1226 | def readBlock(self): |
|
|
1227 | 1227 | """ |
|
|
1228 | 1228 | readBlock lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|
1229 | 1229 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|
1230 | 1230 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|
1231 | 1231 | es seteado a 0 |
|
|
1232 | 1232 | |
|
|
1233 | 1233 | Inputs: |
|
|
1234 | 1234 | None |
|
|
1235 | 1235 | |
|
|
1236 | 1236 | Return: |
|
|
1237 | 1237 | None |
|
|
1238 | 1238 | |
|
|
1239 | 1239 | Affected: |
|
|
1240 | 1240 | self.profileIndex |
|
|
1241 | 1241 | self.datablock |
|
|
1242 | 1242 | self.flagIsNewFile |
|
|
1243 | 1243 | self.flagIsNewBlock |
|
|
1244 | 1244 | self.nTotalBlocks |
|
|
1245 | 1245 | |
|
|
1246 | 1246 | Exceptions: |
|
|
1247 | 1247 | Si un bloque leido no es un bloque valido |
|
|
1248 | 1248 | """ |
|
|
1249 | 1249 | |
|
|
1250 | 1250 | junk = numpy.fromfile( self.fp, self.dtype, self.blocksize ) |
|
|
1251 | 1251 | |
|
|
1252 | 1252 | try: |
|
|
1253 | 1253 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) |
|
|
1254 | 1254 | except: |
|
|
1255 | 1255 | print "The read block (%3d) has not enough data" %self.nReadBlocks |
|
|
1256 | 1256 | return 0 |
|
|
1257 | 1257 | |
|
|
1258 | 1258 | junk = numpy.transpose(junk, (2,0,1)) |
|
|
1259 | 1259 | self.datablock = junk['real'] + junk['imag']*1j |
|
|
1260 | 1260 | |
|
|
1261 | 1261 | self.profileIndex = 0 |
|
|
1262 | 1262 | |
|
|
1263 | 1263 | self.flagIsNewFile = 0 |
|
|
1264 | 1264 | self.flagIsNewBlock = 1 |
|
|
1265 | 1265 | |
|
|
1266 | 1266 | self.nTotalBlocks += 1 |
|
|
1267 | 1267 | self.nReadBlocks += 1 |
|
|
1268 | 1268 | |
|
|
1269 | 1269 | return 1 |
|
|
1270 | 1270 | |
|
|
1271 | 1271 | |
|
|
1272 | 1272 | def getData(self): |
|
|
1273 | 1273 | """ |
|
|
1274 | 1274 | getData obtiene una unidad de datos del buffer de lectura y la copia a la clase "Voltage" |
|
|
1275 | 1275 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
|
|
1276 | 1276 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
|
|
1277 | 1277 | |
|
|
1278 | 1278 | Ademas incrementa el contador del buffer en 1. |
|
|
1279 | 1279 | |
|
|
1280 | 1280 | Return: |
|
|
1281 | 1281 | data : retorna un perfil de voltages (alturas * canales) copiados desde el |
|
|
1282 | 1282 | buffer. Si no hay mas archivos a leer retorna None. |
|
|
1283 | 1283 | |
|
|
1284 | 1284 | Variables afectadas: |
|
|
1285 | 1285 | self.dataOut |
|
|
1286 | 1286 | self.profileIndex |
|
|
1287 | 1287 | |
|
|
1288 | 1288 | Affected: |
|
|
1289 | 1289 | self.dataOut |
|
|
1290 | 1290 | self.profileIndex |
|
|
1291 | 1291 | self.flagTimeBlock |
|
|
1292 | 1292 | self.flagIsNewBlock |
|
|
1293 | 1293 | """ |
|
|
1294 | 1294 | |
|
|
1295 | 1295 | if self.flagNoMoreFiles: |
|
|
1296 | 1296 | self.dataOut.flagNoData = True |
|
|
1297 | 1297 | print 'Process finished' |
|
|
1298 | 1298 | return 0 |
|
|
1299 | 1299 | |
|
|
1300 | 1300 | self.flagTimeBlock = 0 |
|
|
1301 | 1301 | self.flagIsNewBlock = 0 |
|
|
1302 | 1302 | |
|
|
1303 | 1303 | if self.__hasNotDataInBuffer(): |
|
|
1304 | 1304 | |
|
|
1305 | 1305 | if not( self.readNextBlock() ): |
|
|
1306 | 1306 | return 0 |
|
|
1307 | 1307 | |
|
|
1308 | 1308 | # self.updateDataHeader() |
|
|
1309 | 1309 | |
|
|
1310 | 1310 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
|
|
1311 | 1311 | |
|
|
1312 | 1312 | if self.datablock == None: |
|
|
1313 | 1313 | self.dataOut.flagNoData = True |
|
|
1314 | 1314 | return 0 |
|
|
1315 | 1315 | |
|
|
1316 | 1316 | self.dataOut.data = self.datablock[:,self.profileIndex,:] |
|
|
1317 | 1317 | |
|
|
1318 | 1318 | self.dataOut.dtype = self.dtype |
|
|
1319 | 1319 | |
|
|
1320 | 1320 | # self.dataOut.nChannels = self.systemHeaderObj.nChannels |
|
|
1321 | 1321 | |
|
|
1322 | self.dataOut.nHeights = self.processingHeaderObj.nHeights | |
|
|
1322 | # self.dataOut.nHeights = self.processingHeaderObj.nHeights | |
|
|
1323 | 1323 | |
|
|
1324 | 1324 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|
1325 | 1325 | |
|
|
1326 | 1326 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight |
|
|
1327 | 1327 | |
|
|
1328 | 1328 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
|
|
1329 | 1329 | |
|
|
1330 | 1330 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|
1331 | 1331 | |
|
|
1332 | 1332 | # self.dataOut.channelIndexList = range(self.systemHeaderObj.nChannels) |
|
|
1333 | 1333 | |
|
|
1334 | 1334 | self.dataOut.flagTimeBlock = self.flagTimeBlock |
|
|
1335 | 1335 | |
|
|
1336 | 1336 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.ippSeconds |
|
|
1337 | 1337 | |
|
|
1338 | 1338 | self.dataOut.ippSeconds = self.ippSeconds |
|
|
1339 | 1339 | |
|
|
1340 | 1340 | self.dataOut.timeInterval = self.ippSeconds * self.processingHeaderObj.nCohInt |
|
|
1341 | 1341 | |
|
|
1342 | 1342 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|
1343 | 1343 | |
|
|
1344 | 1344 | self.dataOut.flagShiftFFT = False |
|
|
1345 | 1345 | |
|
|
1346 | 1346 | if self.processingHeaderObj.code != None: |
|
|
1347 | 1347 | self.dataOut.nCode = self.processingHeaderObj.nCode |
|
|
1348 | 1348 | |
|
|
1349 | 1349 | self.dataOut.nBaud = self.processingHeaderObj.nBaud |
|
|
1350 | 1350 | |
|
|
1351 | 1351 | self.dataOut.code = self.processingHeaderObj.code |
|
|
1352 | 1352 | |
|
|
1353 | 1353 | self.profileIndex += 1 |
|
|
1354 | 1354 | |
|
|
1355 | 1355 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|
1356 | 1356 | |
|
|
1357 | 1357 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|
1358 | 1358 | |
|
|
1359 | 1359 | self.dataOut.flagNoData = False |
|
|
1360 | 1360 | |
|
|
1361 | 1361 | # print self.profileIndex, self.dataOut.utctime |
|
|
1362 | 1362 | # if self.profileIndex == 800: |
|
|
1363 | 1363 | # a=1 |
|
|
1364 | 1364 | |
|
|
1365 | 1365 | return self.dataOut.data |
|
|
1366 | 1366 | |
|
|
1367 | 1367 | |
|
|
1368 | 1368 | class VoltageWriter(JRODataWriter): |
|
|
1369 | 1369 | """ |
|
|
1370 | 1370 | Esta clase permite escribir datos de voltajes a archivos procesados (.r). La escritura |
|
|
1371 | 1371 | de los datos siempre se realiza por bloques. |
|
|
1372 | 1372 | """ |
|
|
1373 | 1373 | |
|
|
1374 | 1374 | ext = ".r" |
|
|
1375 | 1375 | |
|
|
1376 | 1376 | optchar = "D" |
|
|
1377 | 1377 | |
|
|
1378 | 1378 | shapeBuffer = None |
|
|
1379 | 1379 | |
|
|
1380 | 1380 | |
|
|
1381 | 1381 | def __init__(self): |
|
|
1382 | 1382 | """ |
|
|
1383 | 1383 | Inicializador de la clase VoltageWriter para la escritura de datos de espectros. |
|
|
1384 | 1384 | |
|
|
1385 | 1385 | Affected: |
|
|
1386 | 1386 | self.dataOut |
|
|
1387 | 1387 | |
|
|
1388 | 1388 | Return: None |
|
|
1389 | 1389 | """ |
|
|
1390 | 1390 | |
|
|
1391 | 1391 | self.nTotalBlocks = 0 |
|
|
1392 | 1392 | |
|
|
1393 | 1393 | self.profileIndex = 0 |
|
|
1394 | 1394 | |
|
|
1395 | 1395 | self.isConfig = False |
|
|
1396 | 1396 | |
|
|
1397 | 1397 | self.fp = None |
|
|
1398 | 1398 | |
|
|
1399 | 1399 | self.flagIsNewFile = 1 |
|
|
1400 | 1400 | |
|
|
1401 | 1401 | self.nTotalBlocks = 0 |
|
|
1402 | 1402 | |
|
|
1403 | 1403 | self.flagIsNewBlock = 0 |
|
|
1404 | 1404 | |
|
|
1405 | 1405 | self.setFile = None |
|
|
1406 | 1406 | |
|
|
1407 | 1407 | self.dtype = None |
|
|
1408 | 1408 | |
|
|
1409 | 1409 | self.path = None |
|
|
1410 | 1410 | |
|
|
1411 | 1411 | self.filename = None |
|
|
1412 | 1412 | |
|
|
1413 | 1413 | self.basicHeaderObj = BasicHeader() |
|
|
1414 | 1414 | |
|
|
1415 | 1415 | self.systemHeaderObj = SystemHeader() |
|
|
1416 | 1416 | |
|
|
1417 | 1417 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
1418 | 1418 | |
|
|
1419 | 1419 | self.processingHeaderObj = ProcessingHeader() |
|
|
1420 | 1420 | |
|
|
1421 | 1421 | def hasAllDataInBuffer(self): |
|
|
1422 | 1422 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|
1423 | 1423 | return 1 |
|
|
1424 | 1424 | return 0 |
|
|
1425 | 1425 | |
|
|
1426 | 1426 | |
|
|
1427 | 1427 | def setBlockDimension(self): |
|
|
1428 | 1428 | """ |
|
|
1429 | 1429 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|
1430 | 1430 | |
|
|
1431 | 1431 | Affected: |
|
|
1432 | 1432 | self.shape_spc_Buffer |
|
|
1433 | 1433 | self.shape_cspc_Buffer |
|
|
1434 | 1434 | self.shape_dc_Buffer |
|
|
1435 | 1435 | |
|
|
1436 | 1436 | Return: None |
|
|
1437 | 1437 | """ |
|
|
1438 | 1438 | self.shapeBuffer = (self.processingHeaderObj.profilesPerBlock, |
|
|
1439 | 1439 | self.processingHeaderObj.nHeights, |
|
|
1440 | 1440 | self.systemHeaderObj.nChannels) |
|
|
1441 | 1441 | |
|
|
1442 | 1442 | self.datablock = numpy.zeros((self.systemHeaderObj.nChannels, |
|
|
1443 | 1443 | self.processingHeaderObj.profilesPerBlock, |
|
|
1444 | 1444 | self.processingHeaderObj.nHeights), |
|
|
1445 | 1445 | dtype=numpy.dtype('complex')) |
|
|
1446 | 1446 | |
|
|
1447 | 1447 | |
|
|
1448 | 1448 | def writeBlock(self): |
|
|
1449 | 1449 | """ |
|
|
1450 | 1450 | Escribe el buffer en el file designado |
|
|
1451 | 1451 | |
|
|
1452 | 1452 | Affected: |
|
|
1453 | 1453 | self.profileIndex |
|
|
1454 | 1454 | self.flagIsNewFile |
|
|
1455 | 1455 | self.flagIsNewBlock |
|
|
1456 | 1456 | self.nTotalBlocks |
|
|
1457 | 1457 | self.blockIndex |
|
|
1458 | 1458 | |
|
|
1459 | 1459 | Return: None |
|
|
1460 | 1460 | """ |
|
|
1461 | 1461 | data = numpy.zeros( self.shapeBuffer, self.dtype ) |
|
|
1462 | 1462 | |
|
|
1463 | 1463 | junk = numpy.transpose(self.datablock, (1,2,0)) |
|
|
1464 | 1464 | |
|
|
1465 | 1465 | data['real'] = junk.real |
|
|
1466 | 1466 | data['imag'] = junk.imag |
|
|
1467 | 1467 | |
|
|
1468 | 1468 | data = data.reshape( (-1) ) |
|
|
1469 | 1469 | |
|
|
1470 | 1470 | data.tofile( self.fp ) |
|
|
1471 | 1471 | |
|
|
1472 | 1472 | self.datablock.fill(0) |
|
|
1473 | 1473 | |
|
|
1474 | 1474 | self.profileIndex = 0 |
|
|
1475 | 1475 | self.flagIsNewFile = 0 |
|
|
1476 | 1476 | self.flagIsNewBlock = 1 |
|
|
1477 | 1477 | |
|
|
1478 | 1478 | self.blockIndex += 1 |
|
|
1479 | 1479 | self.nTotalBlocks += 1 |
|
|
1480 | 1480 | |
|
|
1481 | 1481 | def putData(self): |
|
|
1482 | 1482 | """ |
|
|
1483 | 1483 | Setea un bloque de datos y luego los escribe en un file |
|
|
1484 | 1484 | |
|
|
1485 | 1485 | Affected: |
|
|
1486 | 1486 | self.flagIsNewBlock |
|
|
1487 | 1487 | self.profileIndex |
|
|
1488 | 1488 | |
|
|
1489 | 1489 | Return: |
|
|
1490 | 1490 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|
1491 | 1491 | 1 : Si se escribio la data de un bloque en un file |
|
|
1492 | 1492 | """ |
|
|
1493 | 1493 | if self.dataOut.flagNoData: |
|
|
1494 | 1494 | return 0 |
|
|
1495 | 1495 | |
|
|
1496 | 1496 | self.flagIsNewBlock = 0 |
|
|
1497 | 1497 | |
|
|
1498 | 1498 | if self.dataOut.flagTimeBlock: |
|
|
1499 | 1499 | |
|
|
1500 | 1500 | self.datablock.fill(0) |
|
|
1501 | 1501 | self.profileIndex = 0 |
|
|
1502 | 1502 | self.setNextFile() |
|
|
1503 | 1503 | |
|
|
1504 | 1504 | if self.profileIndex == 0: |
|
|
1505 | 1505 | self.getBasicHeader() |
|
|
1506 | 1506 | |
|
|
1507 | 1507 | self.datablock[:,self.profileIndex,:] = self.dataOut.data |
|
|
1508 | 1508 | |
|
|
1509 | 1509 | self.profileIndex += 1 |
|
|
1510 | 1510 | |
|
|
1511 | 1511 | if self.hasAllDataInBuffer(): |
|
|
1512 | 1512 | #if self.flagIsNewFile: |
|
|
1513 | 1513 | self.writeNextBlock() |
|
|
1514 | 1514 | # self.getDataHeader() |
|
|
1515 | 1515 | |
|
|
1516 | 1516 | return 1 |
|
|
1517 | 1517 | |
|
|
1518 | 1518 | def __getProcessFlags(self): |
|
|
1519 | 1519 | |
|
|
1520 | 1520 | processFlags = 0 |
|
|
1521 | 1521 | |
|
|
1522 | 1522 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
1523 | 1523 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
1524 | 1524 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
1525 | 1525 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
1526 | 1526 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
1527 | 1527 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
1528 | 1528 | |
|
|
1529 | 1529 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
1530 | 1530 | |
|
|
1531 | 1531 | |
|
|
1532 | 1532 | |
|
|
1533 | 1533 | datatypeValueList = [PROCFLAG.DATATYPE_CHAR, |
|
|
1534 | 1534 | PROCFLAG.DATATYPE_SHORT, |
|
|
1535 | 1535 | PROCFLAG.DATATYPE_LONG, |
|
|
1536 | 1536 | PROCFLAG.DATATYPE_INT64, |
|
|
1537 | 1537 | PROCFLAG.DATATYPE_FLOAT, |
|
|
1538 | 1538 | PROCFLAG.DATATYPE_DOUBLE] |
|
|
1539 | 1539 | |
|
|
1540 | 1540 | |
|
|
1541 | 1541 | for index in range(len(dtypeList)): |
|
|
1542 | 1542 | if self.dataOut.dtype == dtypeList[index]: |
|
|
1543 | 1543 | dtypeValue = datatypeValueList[index] |
|
|
1544 | 1544 | break |
|
|
1545 | 1545 | |
|
|
1546 | 1546 | processFlags += dtypeValue |
|
|
1547 | 1547 | |
|
|
1548 | 1548 | if self.dataOut.flagDecodeData: |
|
|
1549 | 1549 | processFlags += PROCFLAG.DECODE_DATA |
|
|
1550 | 1550 | |
|
|
1551 | 1551 | if self.dataOut.flagDeflipData: |
|
|
1552 | 1552 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
1553 | 1553 | |
|
|
1554 | 1554 | if self.dataOut.code != None: |
|
|
1555 | 1555 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
1556 | 1556 | |
|
|
1557 | 1557 | if self.dataOut.nCohInt > 1: |
|
|
1558 | 1558 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
|
1559 | 1559 | |
|
|
1560 | 1560 | return processFlags |
|
|
1561 | 1561 | |
|
|
1562 | 1562 | |
|
|
1563 | 1563 | def __getBlockSize(self): |
|
|
1564 | 1564 | ''' |
|
|
1565 | 1565 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Voltage |
|
|
1566 | 1566 | ''' |
|
|
1567 | 1567 | |
|
|
1568 | 1568 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
1569 | 1569 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
1570 | 1570 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
1571 | 1571 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
1572 | 1572 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
1573 | 1573 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
1574 | 1574 | |
|
|
1575 | 1575 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
1576 | 1576 | datatypeValueList = [1,2,4,8,4,8] |
|
|
1577 | 1577 | for index in range(len(dtypeList)): |
|
|
1578 | 1578 | if self.dataOut.dtype == dtypeList[index]: |
|
|
1579 | 1579 | datatypeValue = datatypeValueList[index] |
|
|
1580 | 1580 | break |
|
|
1581 | 1581 | |
|
|
1582 | 1582 | blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * self.dataOut.nProfiles * datatypeValue * 2) |
|
|
1583 | 1583 | |
|
|
1584 | 1584 | return blocksize |
|
|
1585 | 1585 | |
|
|
1586 | 1586 | def getDataHeader(self): |
|
|
1587 | 1587 | |
|
|
1588 | 1588 | """ |
|
|
1589 | 1589 | Obtiene una copia del First Header |
|
|
1590 | 1590 | |
|
|
1591 | 1591 | Affected: |
|
|
1592 | 1592 | self.systemHeaderObj |
|
|
1593 | 1593 | self.radarControllerHeaderObj |
|
|
1594 | 1594 | self.dtype |
|
|
1595 | 1595 | |
|
|
1596 | 1596 | Return: |
|
|
1597 | 1597 | None |
|
|
1598 | 1598 | """ |
|
|
1599 | 1599 | |
|
|
1600 | 1600 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|
1601 | 1601 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|
1602 | 1602 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|
1603 | 1603 | |
|
|
1604 | 1604 | self.getBasicHeader() |
|
|
1605 | 1605 | |
|
|
1606 | 1606 | processingHeaderSize = 40 # bytes |
|
|
1607 | 1607 | self.processingHeaderObj.dtype = 0 # Voltage |
|
|
1608 | 1608 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|
1609 | 1609 | self.processingHeaderObj.profilesPerBlock = self.profilesPerBlock |
|
|
1610 | 1610 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|
1611 | 1611 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|
1612 | 1612 | self.processingHeaderObj.processFlags = self.__getProcessFlags() |
|
|
1613 | 1613 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt |
|
|
1614 | 1614 | self.processingHeaderObj.nIncohInt = 1 # Cuando la data de origen es de tipo Voltage |
|
|
1615 | 1615 | self.processingHeaderObj.totalSpectra = 0 # Cuando la data de origen es de tipo Voltage |
|
|
1616 | 1616 | |
|
|
1617 | 1617 | if self.dataOut.code != None: |
|
|
1618 | 1618 | self.processingHeaderObj.code = self.dataOut.code |
|
|
1619 | 1619 | self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|
1620 | 1620 | self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|
1621 | 1621 | codesize = int(8 + 4 * self.dataOut.nCode * self.dataOut.nBaud) |
|
|
1622 | 1622 | processingHeaderSize += codesize |
|
|
1623 | 1623 | |
|
|
1624 | 1624 | if self.processingHeaderObj.nWindows != 0: |
|
|
1625 | 1625 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|
1626 | 1626 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
1627 | 1627 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|
1628 | 1628 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|
1629 | 1629 | processingHeaderSize += 12 |
|
|
1630 | 1630 | |
|
|
1631 | 1631 | self.processingHeaderObj.size = processingHeaderSize |
|
|
1632 | 1632 | |
|
|
1633 | 1633 | class SpectraReader(JRODataReader): |
|
|
1634 | 1634 | """ |
|
|
1635 | 1635 | Esta clase permite leer datos de espectros desde archivos procesados (.pdata). La lectura |
|
|
1636 | 1636 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones) |
|
|
1637 | 1637 | son almacenados en tres buffer's para el Self Spectra, el Cross Spectra y el DC Channel. |
|
|
1638 | 1638 | |
|
|
1639 | 1639 | paresCanalesIguales * alturas * perfiles (Self Spectra) |
|
|
1640 | 1640 | paresCanalesDiferentes * alturas * perfiles (Cross Spectra) |
|
|
1641 | 1641 | canales * alturas (DC Channels) |
|
|
1642 | 1642 | |
|
|
1643 | 1643 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|
1644 | 1644 | RadarControllerHeader y Spectra. Los tres primeros se usan para almacenar informacion de la |
|
|
1645 | 1645 | cabecera de datos (metadata), y el cuarto (Spectra) para obtener y almacenar un bloque de |
|
|
1646 | 1646 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|
1647 | 1647 | |
|
|
1648 | 1648 | Example: |
|
|
1649 | 1649 | dpath = "/home/myuser/data" |
|
|
1650 | 1650 | |
|
|
1651 | 1651 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|
1652 | 1652 | |
|
|
1653 | 1653 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|
1654 | 1654 | |
|
|
1655 | 1655 | readerObj = SpectraReader() |
|
|
1656 | 1656 | |
|
|
1657 | 1657 | readerObj.setup(dpath, startTime, endTime) |
|
|
1658 | 1658 | |
|
|
1659 | 1659 | while(True): |
|
|
1660 | 1660 | |
|
|
1661 | 1661 | readerObj.getData() |
|
|
1662 | 1662 | |
|
|
1663 | 1663 | print readerObj.data_spc |
|
|
1664 | 1664 | |
|
|
1665 | 1665 | print readerObj.data_cspc |
|
|
1666 | 1666 | |
|
|
1667 | 1667 | print readerObj.data_dc |
|
|
1668 | 1668 | |
|
|
1669 | 1669 | if readerObj.flagNoMoreFiles: |
|
|
1670 | 1670 | break |
|
|
1671 | 1671 | |
|
|
1672 | 1672 | """ |
|
|
1673 | 1673 | |
|
|
1674 | 1674 | pts2read_SelfSpectra = 0 |
|
|
1675 | 1675 | |
|
|
1676 | 1676 | pts2read_CrossSpectra = 0 |
|
|
1677 | 1677 | |
|
|
1678 | 1678 | pts2read_DCchannels = 0 |
|
|
1679 | 1679 | |
|
|
1680 | 1680 | ext = ".pdata" |
|
|
1681 | 1681 | |
|
|
1682 | 1682 | optchar = "P" |
|
|
1683 | 1683 | |
|
|
1684 | 1684 | dataOut = None |
|
|
1685 | 1685 | |
|
|
1686 | 1686 | nRdChannels = None |
|
|
1687 | 1687 | |
|
|
1688 | 1688 | nRdPairs = None |
|
|
1689 | 1689 | |
|
|
1690 | 1690 | rdPairList = [] |
|
|
1691 | 1691 | |
|
|
1692 | 1692 | |
|
|
1693 | 1693 | def __init__(self): |
|
|
1694 | 1694 | """ |
|
|
1695 | 1695 | Inicializador de la clase SpectraReader para la lectura de datos de espectros. |
|
|
1696 | 1696 | |
|
|
1697 | 1697 | Inputs: |
|
|
1698 | 1698 | dataOut : Objeto de la clase Spectra. Este objeto sera utilizado para |
|
|
1699 | 1699 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|
1700 | 1700 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|
1701 | 1701 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|
1702 | 1702 | bloque de datos. |
|
|
1703 | 1703 | Si este parametro no es pasado se creara uno internamente. |
|
|
1704 | 1704 | |
|
|
1705 | 1705 | Affected: |
|
|
1706 | 1706 | self.dataOut |
|
|
1707 | 1707 | |
|
|
1708 | 1708 | Return : None |
|
|
1709 | 1709 | """ |
|
|
1710 | 1710 | |
|
|
1711 | 1711 | self.isConfig = False |
|
|
1712 | 1712 | |
|
|
1713 | 1713 | self.pts2read_SelfSpectra = 0 |
|
|
1714 | 1714 | |
|
|
1715 | 1715 | self.pts2read_CrossSpectra = 0 |
|
|
1716 | 1716 | |
|
|
1717 | 1717 | self.pts2read_DCchannels = 0 |
|
|
1718 | 1718 | |
|
|
1719 | 1719 | self.datablock = None |
|
|
1720 | 1720 | |
|
|
1721 | 1721 | self.utc = None |
|
|
1722 | 1722 | |
|
|
1723 | 1723 | self.ext = ".pdata" |
|
|
1724 | 1724 | |
|
|
1725 | 1725 | self.optchar = "P" |
|
|
1726 | 1726 | |
|
|
1727 | 1727 | self.basicHeaderObj = BasicHeader() |
|
|
1728 | 1728 | |
|
|
1729 | 1729 | self.systemHeaderObj = SystemHeader() |
|
|
1730 | 1730 | |
|
|
1731 | 1731 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
1732 | 1732 | |
|
|
1733 | 1733 | self.processingHeaderObj = ProcessingHeader() |
|
|
1734 | 1734 | |
|
|
1735 | 1735 | self.online = 0 |
|
|
1736 | 1736 | |
|
|
1737 | 1737 | self.fp = None |
|
|
1738 | 1738 | |
|
|
1739 | 1739 | self.idFile = None |
|
|
1740 | 1740 | |
|
|
1741 | 1741 | self.dtype = None |
|
|
1742 | 1742 | |
|
|
1743 | 1743 | self.fileSizeByHeader = None |
|
|
1744 | 1744 | |
|
|
1745 | 1745 | self.filenameList = [] |
|
|
1746 | 1746 | |
|
|
1747 | 1747 | self.filename = None |
|
|
1748 | 1748 | |
|
|
1749 | 1749 | self.fileSize = None |
|
|
1750 | 1750 | |
|
|
1751 | 1751 | self.firstHeaderSize = 0 |
|
|
1752 | 1752 | |
|
|
1753 | 1753 | self.basicHeaderSize = 24 |
|
|
1754 | 1754 | |
|
|
1755 | 1755 | self.pathList = [] |
|
|
1756 | 1756 | |
|
|
1757 | 1757 | self.lastUTTime = 0 |
|
|
1758 | 1758 | |
|
|
1759 | 1759 | self.maxTimeStep = 30 |
|
|
1760 | 1760 | |
|
|
1761 | 1761 | self.flagNoMoreFiles = 0 |
|
|
1762 | 1762 | |
|
|
1763 | 1763 | self.set = 0 |
|
|
1764 | 1764 | |
|
|
1765 | 1765 | self.path = None |
|
|
1766 | 1766 | |
|
|
1767 | 1767 | self.delay = 3 #seconds |
|
|
1768 | 1768 | |
|
|
1769 | 1769 | self.nTries = 3 #quantity tries |
|
|
1770 | 1770 | |
|
|
1771 | 1771 | self.nFiles = 3 #number of files for searching |
|
|
1772 | 1772 | |
|
|
1773 | 1773 | self.nReadBlocks = 0 |
|
|
1774 | 1774 | |
|
|
1775 | 1775 | self.flagIsNewFile = 1 |
|
|
1776 | 1776 | |
|
|
1777 | 1777 | self.ippSeconds = 0 |
|
|
1778 | 1778 | |
|
|
1779 | 1779 | self.flagTimeBlock = 0 |
|
|
1780 | 1780 | |
|
|
1781 | 1781 | self.flagIsNewBlock = 0 |
|
|
1782 | 1782 | |
|
|
1783 | 1783 | self.nTotalBlocks = 0 |
|
|
1784 | 1784 | |
|
|
1785 | 1785 | self.blocksize = 0 |
|
|
1786 | 1786 | |
|
|
1787 | 1787 | self.dataOut = self.createObjByDefault() |
|
|
1788 | 1788 | |
|
|
1789 | 1789 | |
|
|
1790 | 1790 | def createObjByDefault(self): |
|
|
1791 | 1791 | |
|
|
1792 | 1792 | dataObj = Spectra() |
|
|
1793 | 1793 | |
|
|
1794 | 1794 | return dataObj |
|
|
1795 | 1795 | |
|
|
1796 | 1796 | def __hasNotDataInBuffer(self): |
|
|
1797 | 1797 | return 1 |
|
|
1798 | 1798 | |
|
|
1799 | 1799 | |
|
|
1800 | 1800 | def getBlockDimension(self): |
|
|
1801 | 1801 | """ |
|
|
1802 | 1802 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|
1803 | 1803 | |
|
|
1804 | 1804 | Affected: |
|
|
1805 | 1805 | self.nRdChannels |
|
|
1806 | 1806 | self.nRdPairs |
|
|
1807 | 1807 | self.pts2read_SelfSpectra |
|
|
1808 | 1808 | self.pts2read_CrossSpectra |
|
|
1809 | 1809 | self.pts2read_DCchannels |
|
|
1810 | 1810 | self.blocksize |
|
|
1811 | 1811 | self.dataOut.nChannels |
|
|
1812 | 1812 | self.dataOut.nPairs |
|
|
1813 | 1813 | |
|
|
1814 | 1814 | Return: |
|
|
1815 | 1815 | None |
|
|
1816 | 1816 | """ |
|
|
1817 | 1817 | self.nRdChannels = 0 |
|
|
1818 | 1818 | self.nRdPairs = 0 |
|
|
1819 | 1819 | self.rdPairList = [] |
|
|
1820 | 1820 | |
|
|
1821 | 1821 | for i in range(0, self.processingHeaderObj.totalSpectra*2, 2): |
|
|
1822 | 1822 | if self.processingHeaderObj.spectraComb[i] == self.processingHeaderObj.spectraComb[i+1]: |
|
|
1823 | 1823 | self.nRdChannels = self.nRdChannels + 1 #par de canales iguales |
|
|
1824 | 1824 | else: |
|
|
1825 | 1825 | self.nRdPairs = self.nRdPairs + 1 #par de canales diferentes |
|
|
1826 | 1826 | self.rdPairList.append((self.processingHeaderObj.spectraComb[i], self.processingHeaderObj.spectraComb[i+1])) |
|
|
1827 | 1827 | |
|
|
1828 | 1828 | pts2read = self.processingHeaderObj.nHeights * self.processingHeaderObj.profilesPerBlock |
|
|
1829 | 1829 | |
|
|
1830 | 1830 | self.pts2read_SelfSpectra = int(self.nRdChannels * pts2read) |
|
|
1831 | 1831 | self.blocksize = self.pts2read_SelfSpectra |
|
|
1832 | 1832 | |
|
|
1833 | 1833 | if self.processingHeaderObj.flag_cspc: |
|
|
1834 | 1834 | self.pts2read_CrossSpectra = int(self.nRdPairs * pts2read) |
|
|
1835 | 1835 | self.blocksize += self.pts2read_CrossSpectra |
|
|
1836 | 1836 | |
|
|
1837 | 1837 | if self.processingHeaderObj.flag_dc: |
|
|
1838 | 1838 | self.pts2read_DCchannels = int(self.systemHeaderObj.nChannels * self.processingHeaderObj.nHeights) |
|
|
1839 | 1839 | self.blocksize += self.pts2read_DCchannels |
|
|
1840 | 1840 | |
|
|
1841 | 1841 | # self.blocksize = self.pts2read_SelfSpectra + self.pts2read_CrossSpectra + self.pts2read_DCchannels |
|
|
1842 | 1842 | |
|
|
1843 | 1843 | |
|
|
1844 | 1844 | def readBlock(self): |
|
|
1845 | 1845 | """ |
|
|
1846 | 1846 | Lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|
1847 | 1847 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|
1848 | 1848 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|
1849 | 1849 | es seteado a 0 |
|
|
1850 | 1850 | |
|
|
1851 | 1851 | Return: None |
|
|
1852 | 1852 | |
|
|
1853 | 1853 | Variables afectadas: |
|
|
1854 | 1854 | |
|
|
1855 | 1855 | self.flagIsNewFile |
|
|
1856 | 1856 | self.flagIsNewBlock |
|
|
1857 | 1857 | self.nTotalBlocks |
|
|
1858 | 1858 | self.data_spc |
|
|
1859 | 1859 | self.data_cspc |
|
|
1860 | 1860 | self.data_dc |
|
|
1861 | 1861 | |
|
|
1862 | 1862 | Exceptions: |
|
|
1863 | 1863 | Si un bloque leido no es un bloque valido |
|
|
1864 | 1864 | """ |
|
|
1865 | 1865 | blockOk_flag = False |
|
|
1866 | 1866 | fpointer = self.fp.tell() |
|
|
1867 | 1867 | |
|
|
1868 | 1868 | spc = numpy.fromfile( self.fp, self.dtype[0], self.pts2read_SelfSpectra ) |
|
|
1869 | 1869 | spc = spc.reshape( (self.nRdChannels, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
|
|
1870 | 1870 | |
|
|
1871 | 1871 | if self.processingHeaderObj.flag_cspc: |
|
|
1872 | 1872 | cspc = numpy.fromfile( self.fp, self.dtype, self.pts2read_CrossSpectra ) |
|
|
1873 | 1873 | cspc = cspc.reshape( (self.nRdPairs, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
|
|
1874 | 1874 | |
|
|
1875 | 1875 | if self.processingHeaderObj.flag_dc: |
|
|
1876 | 1876 | dc = numpy.fromfile( self.fp, self.dtype, self.pts2read_DCchannels ) #int(self.processingHeaderObj.nHeights*self.systemHeaderObj.nChannels) ) |
|
|
1877 | 1877 | dc = dc.reshape( (self.systemHeaderObj.nChannels, self.processingHeaderObj.nHeights) ) #transforma a un arreglo 2D |
|
|
1878 | 1878 | |
|
|
1879 | 1879 | |
|
|
1880 | 1880 | if not(self.processingHeaderObj.shif_fft): |
|
|
1881 | 1881 | #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
1882 | 1882 | shift = int(self.processingHeaderObj.profilesPerBlock/2) |
|
|
1883 | 1883 | spc = numpy.roll( spc, shift , axis=2 ) |
|
|
1884 | 1884 | |
|
|
1885 | 1885 | if self.processingHeaderObj.flag_cspc: |
|
|
1886 | 1886 | #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
1887 | 1887 | cspc = numpy.roll( cspc, shift, axis=2 ) |
|
|
1888 | 1888 | |
|
|
1889 | 1889 | |
|
|
1890 | 1890 | spc = numpy.transpose( spc, (0,2,1) ) |
|
|
1891 | 1891 | self.data_spc = spc |
|
|
1892 | 1892 | |
|
|
1893 | 1893 | if self.processingHeaderObj.flag_cspc: |
|
|
1894 | 1894 | cspc = numpy.transpose( cspc, (0,2,1) ) |
|
|
1895 | 1895 | self.data_cspc = cspc['real'] + cspc['imag']*1j |
|
|
1896 | 1896 | else: |
|
|
1897 | 1897 | self.data_cspc = None |
|
|
1898 | 1898 | |
|
|
1899 | 1899 | if self.processingHeaderObj.flag_dc: |
|
|
1900 | 1900 | self.data_dc = dc['real'] + dc['imag']*1j |
|
|
1901 | 1901 | else: |
|
|
1902 | 1902 | self.data_dc = None |
|
|
1903 | 1903 | |
|
|
1904 | 1904 | self.flagIsNewFile = 0 |
|
|
1905 | 1905 | self.flagIsNewBlock = 1 |
|
|
1906 | 1906 | |
|
|
1907 | 1907 | self.nTotalBlocks += 1 |
|
|
1908 | 1908 | self.nReadBlocks += 1 |
|
|
1909 | 1909 | |
|
|
1910 | 1910 | return 1 |
|
|
1911 | 1911 | |
|
|
1912 | 1912 | |
|
|
1913 | 1913 | def getData(self): |
|
|
1914 | 1914 | """ |
|
|
1915 | 1915 | Copia el buffer de lectura a la clase "Spectra", |
|
|
1916 | 1916 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
|
|
1917 | 1917 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
|
|
1918 | 1918 | |
|
|
1919 | 1919 | Return: |
|
|
1920 | 1920 | 0 : Si no hay mas archivos disponibles |
|
|
1921 | 1921 | 1 : Si hizo una buena copia del buffer |
|
|
1922 | 1922 | |
|
|
1923 | 1923 | Affected: |
|
|
1924 | 1924 | self.dataOut |
|
|
1925 | 1925 | |
|
|
1926 | 1926 | self.flagTimeBlock |
|
|
1927 | 1927 | self.flagIsNewBlock |
|
|
1928 | 1928 | """ |
|
|
1929 | 1929 | |
|
|
1930 | 1930 | if self.flagNoMoreFiles: |
|
|
1931 | 1931 | self.dataOut.flagNoData = True |
|
|
1932 | 1932 | print 'Process finished' |
|
|
1933 | 1933 | return 0 |
|
|
1934 | 1934 | |
|
|
1935 | 1935 | self.flagTimeBlock = 0 |
|
|
1936 | 1936 | self.flagIsNewBlock = 0 |
|
|
1937 | 1937 | |
|
|
1938 | 1938 | if self.__hasNotDataInBuffer(): |
|
|
1939 | 1939 | |
|
|
1940 | 1940 | if not( self.readNextBlock() ): |
|
|
1941 | 1941 | self.dataOut.flagNoData = True |
|
|
1942 | 1942 | return 0 |
|
|
1943 | 1943 | |
|
|
1944 | 1944 | # self.updateDataHeader() |
|
|
1945 | 1945 | |
|
|
1946 | 1946 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
|
|
1947 | 1947 | |
|
|
1948 | 1948 | if self.data_dc == None: |
|
|
1949 | 1949 | self.dataOut.flagNoData = True |
|
|
1950 | 1950 | return 0 |
|
|
1951 | 1951 | |
|
|
1952 | 1952 | self.dataOut.data_spc = self.data_spc |
|
|
1953 | 1953 | |
|
|
1954 | 1954 | self.dataOut.data_cspc = self.data_cspc |
|
|
1955 | 1955 | |
|
|
1956 | 1956 | self.dataOut.data_dc = self.data_dc |
|
|
1957 | 1957 | |
|
|
1958 | 1958 | self.dataOut.flagTimeBlock = self.flagTimeBlock |
|
|
1959 | 1959 | |
|
|
1960 | 1960 | self.dataOut.flagNoData = False |
|
|
1961 | 1961 | |
|
|
1962 | 1962 | self.dataOut.dtype = self.dtype |
|
|
1963 | 1963 | |
|
|
1964 | 1964 | # self.dataOut.nChannels = self.nRdChannels |
|
|
1965 | 1965 | |
|
|
1966 | 1966 | self.dataOut.nPairs = self.nRdPairs |
|
|
1967 | 1967 | |
|
|
1968 | 1968 | self.dataOut.pairsList = self.rdPairList |
|
|
1969 | 1969 | |
|
|
1970 | self.dataOut.nHeights = self.processingHeaderObj.nHeights | |
|
|
1970 | # self.dataOut.nHeights = self.processingHeaderObj.nHeights | |
|
|
1971 | 1971 | |
|
|
1972 | 1972 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|
1973 | 1973 | |
|
|
1974 | 1974 | self.dataOut.nFFTPoints = self.processingHeaderObj.profilesPerBlock |
|
|
1975 | 1975 | |
|
|
1976 | 1976 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|
1977 | 1977 | |
|
|
1978 | 1978 | self.dataOut.nIncohInt = self.processingHeaderObj.nIncohInt |
|
|
1979 | 1979 | |
|
|
1980 | 1980 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight |
|
|
1981 | 1981 | |
|
|
1982 | 1982 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
|
|
1983 | 1983 | |
|
|
1984 | 1984 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|
1985 | 1985 | |
|
|
1986 | 1986 | # self.dataOut.channelIndexList = range(self.systemHeaderObj.nChannels) |
|
|
1987 | 1987 | |
|
|
1988 | 1988 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000.#+ self.profileIndex * self.ippSeconds |
|
|
1989 | 1989 | |
|
|
1990 | 1990 | self.dataOut.ippSeconds = self.ippSeconds |
|
|
1991 | 1991 | |
|
|
1992 | 1992 | self.dataOut.timeInterval = self.ippSeconds * self.processingHeaderObj.nCohInt * self.processingHeaderObj.nIncohInt * self.dataOut.nFFTPoints |
|
|
1993 | 1993 | |
|
|
1994 | 1994 | self.dataOut.flagShiftFFT = self.processingHeaderObj.shif_fft |
|
|
1995 | 1995 | |
|
|
1996 | 1996 | # self.profileIndex += 1 |
|
|
1997 | 1997 | |
|
|
1998 | 1998 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|
1999 | 1999 | |
|
|
2000 | 2000 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|
2001 | 2001 | |
|
|
2002 | 2002 | return self.dataOut.data_spc |
|
|
2003 | 2003 | |
|
|
2004 | 2004 | |
|
|
2005 | 2005 | class SpectraWriter(JRODataWriter): |
|
|
2006 | 2006 | |
|
|
2007 | 2007 | """ |
|
|
2008 | 2008 | Esta clase permite escribir datos de espectros a archivos procesados (.pdata). La escritura |
|
|
2009 | 2009 | de los datos siempre se realiza por bloques. |
|
|
2010 | 2010 | """ |
|
|
2011 | 2011 | |
|
|
2012 | 2012 | ext = ".pdata" |
|
|
2013 | 2013 | |
|
|
2014 | 2014 | optchar = "P" |
|
|
2015 | 2015 | |
|
|
2016 | 2016 | shape_spc_Buffer = None |
|
|
2017 | 2017 | |
|
|
2018 | 2018 | shape_cspc_Buffer = None |
|
|
2019 | 2019 | |
|
|
2020 | 2020 | shape_dc_Buffer = None |
|
|
2021 | 2021 | |
|
|
2022 | 2022 | data_spc = None |
|
|
2023 | 2023 | |
|
|
2024 | 2024 | data_cspc = None |
|
|
2025 | 2025 | |
|
|
2026 | 2026 | data_dc = None |
|
|
2027 | 2027 | |
|
|
2028 | 2028 | # dataOut = None |
|
|
2029 | 2029 | |
|
|
2030 | 2030 | def __init__(self): |
|
|
2031 | 2031 | """ |
|
|
2032 | 2032 | Inicializador de la clase SpectraWriter para la escritura de datos de espectros. |
|
|
2033 | 2033 | |
|
|
2034 | 2034 | Affected: |
|
|
2035 | 2035 | self.dataOut |
|
|
2036 | 2036 | self.basicHeaderObj |
|
|
2037 | 2037 | self.systemHeaderObj |
|
|
2038 | 2038 | self.radarControllerHeaderObj |
|
|
2039 | 2039 | self.processingHeaderObj |
|
|
2040 | 2040 | |
|
|
2041 | 2041 | Return: None |
|
|
2042 | 2042 | """ |
|
|
2043 | 2043 | |
|
|
2044 | 2044 | self.isConfig = False |
|
|
2045 | 2045 | |
|
|
2046 | 2046 | self.nTotalBlocks = 0 |
|
|
2047 | 2047 | |
|
|
2048 | 2048 | self.data_spc = None |
|
|
2049 | 2049 | |
|
|
2050 | 2050 | self.data_cspc = None |
|
|
2051 | 2051 | |
|
|
2052 | 2052 | self.data_dc = None |
|
|
2053 | 2053 | |
|
|
2054 | 2054 | self.fp = None |
|
|
2055 | 2055 | |
|
|
2056 | 2056 | self.flagIsNewFile = 1 |
|
|
2057 | 2057 | |
|
|
2058 | 2058 | self.nTotalBlocks = 0 |
|
|
2059 | 2059 | |
|
|
2060 | 2060 | self.flagIsNewBlock = 0 |
|
|
2061 | 2061 | |
|
|
2062 | 2062 | self.setFile = None |
|
|
2063 | 2063 | |
|
|
2064 | 2064 | self.dtype = None |
|
|
2065 | 2065 | |
|
|
2066 | 2066 | self.path = None |
|
|
2067 | 2067 | |
|
|
2068 | 2068 | self.noMoreFiles = 0 |
|
|
2069 | 2069 | |
|
|
2070 | 2070 | self.filename = None |
|
|
2071 | 2071 | |
|
|
2072 | 2072 | self.basicHeaderObj = BasicHeader() |
|
|
2073 | 2073 | |
|
|
2074 | 2074 | self.systemHeaderObj = SystemHeader() |
|
|
2075 | 2075 | |
|
|
2076 | 2076 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
2077 | 2077 | |
|
|
2078 | 2078 | self.processingHeaderObj = ProcessingHeader() |
|
|
2079 | 2079 | |
|
|
2080 | 2080 | |
|
|
2081 | 2081 | def hasAllDataInBuffer(self): |
|
|
2082 | 2082 | return 1 |
|
|
2083 | 2083 | |
|
|
2084 | 2084 | |
|
|
2085 | 2085 | def setBlockDimension(self): |
|
|
2086 | 2086 | """ |
|
|
2087 | 2087 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|
2088 | 2088 | |
|
|
2089 | 2089 | Affected: |
|
|
2090 | 2090 | self.shape_spc_Buffer |
|
|
2091 | 2091 | self.shape_cspc_Buffer |
|
|
2092 | 2092 | self.shape_dc_Buffer |
|
|
2093 | 2093 | |
|
|
2094 | 2094 | Return: None |
|
|
2095 | 2095 | """ |
|
|
2096 | 2096 | self.shape_spc_Buffer = (self.dataOut.nChannels, |
|
|
2097 | 2097 | self.processingHeaderObj.nHeights, |
|
|
2098 | 2098 | self.processingHeaderObj.profilesPerBlock) |
|
|
2099 | 2099 | |
|
|
2100 | 2100 | self.shape_cspc_Buffer = (self.dataOut.nPairs, |
|
|
2101 | 2101 | self.processingHeaderObj.nHeights, |
|
|
2102 | 2102 | self.processingHeaderObj.profilesPerBlock) |
|
|
2103 | 2103 | |
|
|
2104 | 2104 | self.shape_dc_Buffer = (self.dataOut.nChannels, |
|
|
2105 | 2105 | self.processingHeaderObj.nHeights) |
|
|
2106 | 2106 | |
|
|
2107 | 2107 | |
|
|
2108 | 2108 | def writeBlock(self): |
|
|
2109 | 2109 | """ |
|
|
2110 | 2110 | Escribe el buffer en el file designado |
|
|
2111 | 2111 | |
|
|
2112 | 2112 | Affected: |
|
|
2113 | 2113 | self.data_spc |
|
|
2114 | 2114 | self.data_cspc |
|
|
2115 | 2115 | self.data_dc |
|
|
2116 | 2116 | self.flagIsNewFile |
|
|
2117 | 2117 | self.flagIsNewBlock |
|
|
2118 | 2118 | self.nTotalBlocks |
|
|
2119 | 2119 | self.nWriteBlocks |
|
|
2120 | 2120 | |
|
|
2121 | 2121 | Return: None |
|
|
2122 | 2122 | """ |
|
|
2123 | 2123 | |
|
|
2124 | 2124 | spc = numpy.transpose( self.data_spc, (0,2,1) ) |
|
|
2125 | 2125 | if not( self.processingHeaderObj.shif_fft ): |
|
|
2126 | 2126 | spc = numpy.roll( spc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
2127 | 2127 | data = spc.reshape((-1)) |
|
|
2128 | 2128 | data.tofile(self.fp) |
|
|
2129 | 2129 | |
|
|
2130 | 2130 | if self.data_cspc != None: |
|
|
2131 | 2131 | data = numpy.zeros( self.shape_cspc_Buffer, self.dtype ) |
|
|
2132 | 2132 | cspc = numpy.transpose( self.data_cspc, (0,2,1) ) |
|
|
2133 | 2133 | if not( self.processingHeaderObj.shif_fft ): |
|
|
2134 | 2134 | cspc = numpy.roll( cspc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
2135 | 2135 | data['real'] = cspc.real |
|
|
2136 | 2136 | data['imag'] = cspc.imag |
|
|
2137 | 2137 | data = data.reshape((-1)) |
|
|
2138 | 2138 | data.tofile(self.fp) |
|
|
2139 | 2139 | |
|
|
2140 | 2140 | if self.data_dc != None: |
|
|
2141 | 2141 | data = numpy.zeros( self.shape_dc_Buffer, self.dtype ) |
|
|
2142 | 2142 | dc = self.data_dc |
|
|
2143 | 2143 | data['real'] = dc.real |
|
|
2144 | 2144 | data['imag'] = dc.imag |
|
|
2145 | 2145 | data = data.reshape((-1)) |
|
|
2146 | 2146 | data.tofile(self.fp) |
|
|
2147 | 2147 | |
|
|
2148 | 2148 | self.data_spc.fill(0) |
|
|
2149 | 2149 | self.data_dc.fill(0) |
|
|
2150 | 2150 | if self.data_cspc != None: |
|
|
2151 | 2151 | self.data_cspc.fill(0) |
|
|
2152 | 2152 | |
|
|
2153 | 2153 | self.flagIsNewFile = 0 |
|
|
2154 | 2154 | self.flagIsNewBlock = 1 |
|
|
2155 | 2155 | self.nTotalBlocks += 1 |
|
|
2156 | 2156 | self.nWriteBlocks += 1 |
|
|
2157 | 2157 | self.blockIndex += 1 |
|
|
2158 | 2158 | |
|
|
2159 | 2159 | |
|
|
2160 | 2160 | def putData(self): |
|
|
2161 | 2161 | """ |
|
|
2162 | 2162 | Setea un bloque de datos y luego los escribe en un file |
|
|
2163 | 2163 | |
|
|
2164 | 2164 | Affected: |
|
|
2165 | 2165 | self.data_spc |
|
|
2166 | 2166 | self.data_cspc |
|
|
2167 | 2167 | self.data_dc |
|
|
2168 | 2168 | |
|
|
2169 | 2169 | Return: |
|
|
2170 | 2170 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|
2171 | 2171 | 1 : Si se escribio la data de un bloque en un file |
|
|
2172 | 2172 | """ |
|
|
2173 | 2173 | |
|
|
2174 | 2174 | if self.dataOut.flagNoData: |
|
|
2175 | 2175 | return 0 |
|
|
2176 | 2176 | |
|
|
2177 | 2177 | self.flagIsNewBlock = 0 |
|
|
2178 | 2178 | |
|
|
2179 | 2179 | if self.dataOut.flagTimeBlock: |
|
|
2180 | 2180 | self.data_spc.fill(0) |
|
|
2181 | 2181 | self.data_cspc.fill(0) |
|
|
2182 | 2182 | self.data_dc.fill(0) |
|
|
2183 | 2183 | self.setNextFile() |
|
|
2184 | 2184 | |
|
|
2185 | 2185 | if self.flagIsNewFile == 0: |
|
|
2186 | 2186 | self.getBasicHeader() |
|
|
2187 | 2187 | |
|
|
2188 | 2188 | self.data_spc = self.dataOut.data_spc |
|
|
2189 | 2189 | self.data_cspc = self.dataOut.data_cspc |
|
|
2190 | 2190 | self.data_dc = self.dataOut.data_dc |
|
|
2191 | 2191 | |
|
|
2192 | 2192 | # #self.processingHeaderObj.dataBlocksPerFile) |
|
|
2193 | 2193 | if self.hasAllDataInBuffer(): |
|
|
2194 | 2194 | # self.getDataHeader() |
|
|
2195 | 2195 | self.writeNextBlock() |
|
|
2196 | 2196 | |
|
|
2197 | 2197 | return 1 |
|
|
2198 | 2198 | |
|
|
2199 | 2199 | |
|
|
2200 | 2200 | def __getProcessFlags(self): |
|
|
2201 | 2201 | |
|
|
2202 | 2202 | processFlags = 0 |
|
|
2203 | 2203 | |
|
|
2204 | 2204 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
2205 | 2205 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
2206 | 2206 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
2207 | 2207 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
2208 | 2208 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
2209 | 2209 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
2210 | 2210 | |
|
|
2211 | 2211 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
2212 | 2212 | |
|
|
2213 | 2213 | |
|
|
2214 | 2214 | |
|
|
2215 | 2215 | datatypeValueList = [PROCFLAG.DATATYPE_CHAR, |
|
|
2216 | 2216 | PROCFLAG.DATATYPE_SHORT, |
|
|
2217 | 2217 | PROCFLAG.DATATYPE_LONG, |
|
|
2218 | 2218 | PROCFLAG.DATATYPE_INT64, |
|
|
2219 | 2219 | PROCFLAG.DATATYPE_FLOAT, |
|
|
2220 | 2220 | PROCFLAG.DATATYPE_DOUBLE] |
|
|
2221 | 2221 | |
|
|
2222 | 2222 | |
|
|
2223 | 2223 | for index in range(len(dtypeList)): |
|
|
2224 | 2224 | if self.dataOut.dtype == dtypeList[index]: |
|
|
2225 | 2225 | dtypeValue = datatypeValueList[index] |
|
|
2226 | 2226 | break |
|
|
2227 | 2227 | |
|
|
2228 | 2228 | processFlags += dtypeValue |
|
|
2229 | 2229 | |
|
|
2230 | 2230 | if self.dataOut.flagDecodeData: |
|
|
2231 | 2231 | processFlags += PROCFLAG.DECODE_DATA |
|
|
2232 | 2232 | |
|
|
2233 | 2233 | if self.dataOut.flagDeflipData: |
|
|
2234 | 2234 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
2235 | 2235 | |
|
|
2236 | 2236 | if self.dataOut.code != None: |
|
|
2237 | 2237 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
2238 | 2238 | |
|
|
2239 | 2239 | if self.dataOut.nIncohInt > 1: |
|
|
2240 | 2240 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION |
|
|
2241 | 2241 | |
|
|
2242 | 2242 | if self.dataOut.data_dc != None: |
|
|
2243 | 2243 | processFlags += PROCFLAG.SAVE_CHANNELS_DC |
|
|
2244 | 2244 | |
|
|
2245 | 2245 | return processFlags |
|
|
2246 | 2246 | |
|
|
2247 | 2247 | |
|
|
2248 | 2248 | def __getBlockSize(self): |
|
|
2249 | 2249 | ''' |
|
|
2250 | 2250 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Spectra |
|
|
2251 | 2251 | ''' |
|
|
2252 | 2252 | |
|
|
2253 | 2253 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
2254 | 2254 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
2255 | 2255 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
2256 | 2256 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
2257 | 2257 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
2258 | 2258 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
2259 | 2259 | |
|
|
2260 | 2260 | dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
2261 | 2261 | datatypeValueList = [1,2,4,8,4,8] |
|
|
2262 | 2262 | for index in range(len(dtypeList)): |
|
|
2263 | 2263 | if self.dataOut.dtype == dtypeList[index]: |
|
|
2264 | 2264 | datatypeValue = datatypeValueList[index] |
|
|
2265 | 2265 | break |
|
|
2266 | 2266 | |
|
|
2267 | 2267 | |
|
|
2268 | 2268 | pts2write = self.dataOut.nHeights * self.dataOut.nFFTPoints |
|
|
2269 | 2269 | |
|
|
2270 | 2270 | pts2write_SelfSpectra = int(self.dataOut.nChannels * pts2write) |
|
|
2271 | 2271 | blocksize = (pts2write_SelfSpectra*datatypeValue) |
|
|
2272 | 2272 | |
|
|
2273 | 2273 | if self.dataOut.data_cspc != None: |
|
|
2274 | 2274 | pts2write_CrossSpectra = int(self.dataOut.nPairs * pts2write) |
|
|
2275 | 2275 | blocksize += (pts2write_CrossSpectra*datatypeValue*2) |
|
|
2276 | 2276 | |
|
|
2277 | 2277 | if self.dataOut.data_dc != None: |
|
|
2278 | 2278 | pts2write_DCchannels = int(self.dataOut.nChannels * self.dataOut.nHeights) |
|
|
2279 | 2279 | blocksize += (pts2write_DCchannels*datatypeValue*2) |
|
|
2280 | 2280 | |
|
|
2281 | 2281 | blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO |
|
|
2282 | 2282 | |
|
|
2283 | 2283 | return blocksize |
|
|
2284 | 2284 | |
|
|
2285 | 2285 | def getDataHeader(self): |
|
|
2286 | 2286 | |
|
|
2287 | 2287 | """ |
|
|
2288 | 2288 | Obtiene una copia del First Header |
|
|
2289 | 2289 | |
|
|
2290 | 2290 | Affected: |
|
|
2291 | 2291 | self.systemHeaderObj |
|
|
2292 | 2292 | self.radarControllerHeaderObj |
|
|
2293 | 2293 | self.dtype |
|
|
2294 | 2294 | |
|
|
2295 | 2295 | Return: |
|
|
2296 | 2296 | None |
|
|
2297 | 2297 | """ |
|
|
2298 | 2298 | |
|
|
2299 | 2299 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|
2300 | 2300 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|
2301 | 2301 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|
2302 | 2302 | |
|
|
2303 | 2303 | self.getBasicHeader() |
|
|
2304 | 2304 | |
|
|
2305 | 2305 | processingHeaderSize = 40 # bytes |
|
|
2306 | 2306 | self.processingHeaderObj.dtype = 0 # Voltage |
|
|
2307 | 2307 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|
2308 | 2308 | self.processingHeaderObj.profilesPerBlock = self.dataOut.nFFTPoints |
|
|
2309 | 2309 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|
2310 | 2310 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|
2311 | 2311 | self.processingHeaderObj.processFlags = self.__getProcessFlags() |
|
|
2312 | 2312 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt# Se requiere para determinar el valor de timeInterval |
|
|
2313 | 2313 | self.processingHeaderObj.nIncohInt = self.dataOut.nIncohInt |
|
|
2314 | 2314 | self.processingHeaderObj.totalSpectra = self.dataOut.nPairs + self.dataOut.nChannels |
|
|
2315 | 2315 | |
|
|
2316 | 2316 | if self.processingHeaderObj.totalSpectra > 0: |
|
|
2317 | 2317 | channelList = [] |
|
|
2318 | 2318 | for channel in range(self.dataOut.nChannels): |
|
|
2319 | 2319 | channelList.append(channel) |
|
|
2320 | 2320 | channelList.append(channel) |
|
|
2321 | 2321 | |
|
|
2322 | 2322 | pairsList = [] |
|
|
2323 | 2323 | for pair in self.dataOut.pairsList: |
|
|
2324 | 2324 | pairsList.append(pair[0]) |
|
|
2325 | 2325 | pairsList.append(pair[1]) |
|
|
2326 | 2326 | spectraComb = channelList + pairsList |
|
|
2327 | 2327 | spectraComb = numpy.array(spectraComb,dtype="u1") |
|
|
2328 | 2328 | self.processingHeaderObj.spectraComb = spectraComb |
|
|
2329 | 2329 | sizeOfSpcComb = len(spectraComb) |
|
|
2330 | 2330 | processingHeaderSize += sizeOfSpcComb |
|
|
2331 | 2331 | |
|
|
2332 | 2332 | if self.dataOut.code != None: |
|
|
2333 | 2333 | self.processingHeaderObj.code = self.dataOut.code |
|
|
2334 | 2334 | self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|
2335 | 2335 | self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|
2336 | 2336 | nCodeSize = 4 # bytes |
|
|
2337 | 2337 | nBaudSize = 4 # bytes |
|
|
2338 | 2338 | codeSize = 4 # bytes |
|
|
2339 | 2339 | sizeOfCode = int(nCodeSize + nBaudSize + codeSize * self.dataOut.nCode * self.dataOut.nBaud) |
|
|
2340 | 2340 | processingHeaderSize += sizeOfCode |
|
|
2341 | 2341 | |
|
|
2342 | 2342 | if self.processingHeaderObj.nWindows != 0: |
|
|
2343 | 2343 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|
2344 | 2344 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
2345 | 2345 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|
2346 | 2346 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|
2347 | 2347 | sizeOfFirstHeight = 4 |
|
|
2348 | 2348 | sizeOfdeltaHeight = 4 |
|
|
2349 | 2349 | sizeOfnHeights = 4 |
|
|
2350 | 2350 | sizeOfWindows = (sizeOfFirstHeight + sizeOfdeltaHeight + sizeOfnHeights)*self.processingHeaderObj.nWindows |
|
|
2351 | 2351 | processingHeaderSize += sizeOfWindows |
|
|
2352 | 2352 | |
|
|
2353 | 2353 | self.processingHeaderObj.size = processingHeaderSize |
|
|
2354 | 2354 | |
|
|
2355 | 2355 | class SpectraHeisWriter(): |
|
|
2356 | 2356 | |
|
|
2357 | 2357 | i=0 |
|
|
2358 | 2358 | |
|
|
2359 | 2359 | def __init__(self, dataOut): |
|
|
2360 | 2360 | |
|
|
2361 | 2361 | self.wrObj = FITS() |
|
|
2362 | 2362 | self.dataOut = dataOut |
|
|
2363 | 2363 | |
|
|
2364 | 2364 | def isNumber(str): |
|
|
2365 | 2365 | """ |
|
|
2366 | 2366 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|
2367 | 2367 | |
|
|
2368 | 2368 | Excepciones: |
|
|
2369 | 2369 | Si un determinado string no puede ser convertido a numero |
|
|
2370 | 2370 | Input: |
|
|
2371 | 2371 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|
2372 | 2372 | |
|
|
2373 | 2373 | Return: |
|
|
2374 | 2374 | True : si el string es uno numerico |
|
|
2375 | 2375 | False : no es un string numerico |
|
|
2376 | 2376 | """ |
|
|
2377 | 2377 | try: |
|
|
2378 | 2378 | float( str ) |
|
|
2379 | 2379 | return True |
|
|
2380 | 2380 | except: |
|
|
2381 | 2381 | return False |
|
|
2382 | 2382 | |
|
|
2383 | 2383 | def setup(self, wrpath,): |
|
|
2384 | 2384 | |
|
|
2385 | 2385 | if not(os.path.exists(wrpath)): |
|
|
2386 | 2386 | os.mkdir(wrpath) |
|
|
2387 | 2387 | |
|
|
2388 | 2388 | self.wrpath = wrpath |
|
|
2389 | 2389 | self.setFile = 0 |
|
|
2390 | 2390 | |
|
|
2391 | 2391 | def putData(self): |
|
|
2392 | 2392 | # self.wrObj.writeHeader(nChannels=self.dataOut.nChannels, nFFTPoints=self.dataOut.nFFTPoints) |
|
|
2393 | 2393 | #name = self.dataOut.utctime |
|
|
2394 | 2394 | name= time.localtime( self.dataOut.utctime) |
|
|
2395 | 2395 | ext=".fits" |
|
|
2396 | 2396 | #folder='D%4.4d%3.3d'%(name.tm_year,name.tm_yday) |
|
|
2397 | 2397 | subfolder = 'D%4.4d%3.3d' % (name.tm_year,name.tm_yday) |
|
|
2398 | 2398 | |
|
|
2399 | 2399 | doypath = os.path.join( self.wrpath, subfolder ) |
|
|
2400 | 2400 | if not( os.path.exists(doypath) ): |
|
|
2401 | 2401 | os.mkdir(doypath) |
|
|
2402 | 2402 | self.setFile += 1 |
|
|
2403 | 2403 | file = 'D%4.4d%3.3d%3.3d%s' % (name.tm_year,name.tm_yday,self.setFile,ext) |
|
|
2404 | 2404 | |
|
|
2405 | 2405 | filename = os.path.join(self.wrpath,subfolder, file) |
|
|
2406 | 2406 | |
|
|
2407 | 2407 | # print self.dataOut.ippSeconds |
|
|
2408 | 2408 | freq=numpy.arange(-1*self.dataOut.nHeights/2.,self.dataOut.nHeights/2.)/(2*self.dataOut.ippSeconds) |
|
|
2409 | 2409 | |
|
|
2410 | 2410 | col1=self.wrObj.setColF(name="freq", format=str(self.dataOut.nFFTPoints)+'E', array=freq) |
|
|
2411 | 2411 | col2=self.wrObj.writeData(name="P_Ch1",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[0,:])) |
|
|
2412 | 2412 | col3=self.wrObj.writeData(name="P_Ch2",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[1,:])) |
|
|
2413 | 2413 | col4=self.wrObj.writeData(name="P_Ch3",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[2,:])) |
|
|
2414 | 2414 | col5=self.wrObj.writeData(name="P_Ch4",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[3,:])) |
|
|
2415 | 2415 | col6=self.wrObj.writeData(name="P_Ch5",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[4,:])) |
|
|
2416 | 2416 | col7=self.wrObj.writeData(name="P_Ch6",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[5,:])) |
|
|
2417 | 2417 | col8=self.wrObj.writeData(name="P_Ch7",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[6,:])) |
|
|
2418 | 2418 | col9=self.wrObj.writeData(name="P_Ch8",format=str(self.dataOut.nFFTPoints)+'E',data=10*numpy.log10(self.dataOut.data_spc[7,:])) |
|
|
2419 | 2419 | #n=numpy.arange((100)) |
|
|
2420 | 2420 | n=self.dataOut.data_spc[6,:] |
|
|
2421 | 2421 | a=self.wrObj.cFImage(n) |
|
|
2422 | 2422 | b=self.wrObj.Ctable(col1,col2,col3,col4,col5,col6,col7,col8,col9) |
|
|
2423 | 2423 | self.wrObj.CFile(a,b) |
|
|
2424 | 2424 | self.wrObj.wFile(filename) |
|
|
2425 | 2425 | return 1 |
|
|
2426 | 2426 | |
|
|
2427 | 2427 | class FITS: |
|
|
2428 | 2428 | |
|
|
2429 | 2429 | name=None |
|
|
2430 | 2430 | format=None |
|
|
2431 | 2431 | array =None |
|
|
2432 | 2432 | data =None |
|
|
2433 | 2433 | thdulist=None |
|
|
2434 | 2434 | |
|
|
2435 | 2435 | def __init__(self): |
|
|
2436 | 2436 | |
|
|
2437 | 2437 | pass |
|
|
2438 | 2438 | |
|
|
2439 | 2439 | def setColF(self,name,format,array): |
|
|
2440 | 2440 | self.name=name |
|
|
2441 | 2441 | self.format=format |
|
|
2442 | 2442 | self.array=array |
|
|
2443 | 2443 | a1=numpy.array([self.array],dtype=numpy.float32) |
|
|
2444 | 2444 | self.col1 = pyfits.Column(name=self.name, format=self.format, array=a1) |
|
|
2445 | 2445 | return self.col1 |
|
|
2446 | 2446 | |
|
|
2447 | 2447 | # def setColP(self,name,format,data): |
|
|
2448 | 2448 | # self.name=name |
|
|
2449 | 2449 | # self.format=format |
|
|
2450 | 2450 | # self.data=data |
|
|
2451 | 2451 | # a2=numpy.array([self.data],dtype=numpy.float32) |
|
|
2452 | 2452 | # self.col2 = pyfits.Column(name=self.name, format=self.format, array=a2) |
|
|
2453 | 2453 | # return self.col2 |
|
|
2454 | 2454 | |
|
|
2455 | 2455 | def writeHeader(self,): |
|
|
2456 | 2456 | pass |
|
|
2457 | 2457 | |
|
|
2458 | 2458 | def writeData(self,name,format,data): |
|
|
2459 | 2459 | self.name=name |
|
|
2460 | 2460 | self.format=format |
|
|
2461 | 2461 | self.data=data |
|
|
2462 | 2462 | a2=numpy.array([self.data],dtype=numpy.float32) |
|
|
2463 | 2463 | self.col2 = pyfits.Column(name=self.name, format=self.format, array=a2) |
|
|
2464 | 2464 | return self.col2 |
|
|
2465 | 2465 | |
|
|
2466 | 2466 | def cFImage(self,n): |
|
|
2467 | 2467 | self.hdu= pyfits.PrimaryHDU(n) |
|
|
2468 | 2468 | return self.hdu |
|
|
2469 | 2469 | |
|
|
2470 | 2470 | def Ctable(self,col1,col2,col3,col4,col5,col6,col7,col8,col9): |
|
|
2471 | 2471 | self.cols=pyfits.ColDefs( [col1,col2,col3,col4,col5,col6,col7,col8,col9]) |
|
|
2472 | 2472 | self.tbhdu = pyfits.new_table(self.cols) |
|
|
2473 | 2473 | return self.tbhdu |
|
|
2474 | 2474 | |
|
|
2475 | 2475 | def CFile(self,hdu,tbhdu): |
|
|
2476 | 2476 | self.thdulist=pyfits.HDUList([hdu,tbhdu]) |
|
|
2477 | 2477 | |
|
|
2478 | 2478 | def wFile(self,filename): |
|
|
2479 | 2479 | self.thdulist.writeto(filename) No newline at end of file |
| @@ -1,227 +1,364 | |||
|
|
1 | 1 | import numpy |
|
|
2 | 2 | import datetime |
|
|
3 | 3 | from graphics.figure import * |
|
|
4 | 4 | |
|
|
5 | class RTIPlot(Figure): | |
|
|
6 | ||
|
|
7 | __isConfig = None | |
|
|
8 | __nsubplots = None | |
|
|
9 | ||
|
|
10 | WIDTHPROF = None | |
|
|
11 | HEIGHTPROF = None | |
|
|
12 | ||
|
|
13 | def __init__(self): | |
|
|
14 | ||
|
|
15 | self.__timerange = 30*60 | |
|
|
16 | self.__isConfig = False | |
|
|
17 | self.__nsubplots = 1 | |
|
|
18 | ||
|
|
19 | self.WIDTH = 800 | |
|
|
20 | self.HEIGHT = 400 | |
|
|
21 | self.WIDTHPROF = 120 | |
|
|
22 | self.HEIGHTPROF = 0 | |
|
|
23 | ||
|
|
24 | def getSubplots(self): | |
|
|
25 | ||
|
|
26 | ncol = 1 | |
|
|
27 | nrow = self.nplots | |
|
|
28 | ||
|
|
29 | return nrow, ncol | |
|
|
30 | ||
|
|
31 | def setup(self, idfigure, nplots, wintitle, showprofile=True): | |
|
|
32 | ||
|
|
33 | self.__showprofile = showprofile | |
|
|
34 | self.nplots = nplots | |
|
|
35 | ||
|
|
36 | ncolspan = 1 | |
|
|
37 | colspan = 1 | |
|
|
38 | if showprofile: | |
|
|
39 | ncolspan = 7 | |
|
|
40 | colspan = 6 | |
|
|
41 | self.__nsubplots = 2 | |
|
|
42 | self.WIDTH += self.WIDTHPROF | |
|
|
43 | self.HEIGHT += self.HEIGHTPROF | |
|
|
44 | ||
|
|
45 | self.createFigure(idfigure, wintitle) | |
|
|
46 | ||
|
|
47 | nrow, ncol = self.getSubplots() | |
|
|
48 | ||
|
|
49 | counter = 0 | |
|
|
50 | for y in range(nrow): | |
|
|
51 | for x in range(ncol): | |
|
|
52 | ||
|
|
53 | if counter >= self.nplots: | |
|
|
54 | break | |
|
|
55 | ||
|
|
56 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
|
|
57 | ||
|
|
58 | if showprofile: | |
|
|
59 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
|
|
60 | ||
|
|
61 | counter += 1 | |
|
|
62 | ||
|
|
63 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True', | |
|
|
64 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None): | |
|
|
65 | ||
|
|
66 | """ | |
|
|
67 | ||
|
|
68 | Input: | |
|
|
69 | dataOut : | |
|
|
70 | idfigure : | |
|
|
71 | wintitle : | |
|
|
72 | channelList : | |
|
|
73 | showProfile : | |
|
|
74 | xmin : None, | |
|
|
75 | xmax : None, | |
|
|
76 | ymin : None, | |
|
|
77 | ymax : None, | |
|
|
78 | zmin : None, | |
|
|
79 | zmax : None | |
|
|
80 | """ | |
|
|
81 | ||
|
|
82 | if channelList == None: | |
|
|
83 | channelIndexList = dataOut.channelIndexList | |
|
|
84 | else: | |
|
|
85 | channelIndexList = [] | |
|
|
86 | for channel in channelList: | |
|
|
87 | if channel not in dataOut.channelList: | |
|
|
88 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
|
|
89 | channelIndexList.append(channel) | |
|
|
90 | ||
|
|
91 | x = dataOut.getDatatime() | |
|
|
92 | y = dataOut.getHeiRange() | |
|
|
93 | z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:]) | |
|
|
94 | avg = numpy.average(z, axis=1) | |
|
|
95 | ||
|
|
96 | noise = dataOut.getNoise() | |
|
|
97 | ||
|
|
98 | if not self.__isConfig: | |
|
|
99 | ||
|
|
100 | nplots = len(channelIndexList) | |
|
|
101 | ||
|
|
102 | self.setup(idfigure=idfigure, | |
|
|
103 | nplots=nplots, | |
|
|
104 | wintitle=wintitle, | |
|
|
105 | showprofile=showprofile) | |
|
|
106 | ||
|
|
107 | if xmin == None: xmin = numpy.min(x) | |
|
|
108 | if xmax == None: xmax = xmin + self.__timerange | |
|
|
109 | if ymin == None: ymin = numpy.nanmin(y) | |
|
|
110 | if ymax == None: ymax = numpy.nanmax(y) | |
|
|
111 | if zmin == None: zmin = numpy.nanmin(avg)*0.9 | |
|
|
112 | if zmax == None: zmax = numpy.nanmax(avg)*0.9 | |
|
|
113 | ||
|
|
114 | self.__isConfig = True | |
|
|
115 | ||
|
|
116 | thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime) | |
|
|
117 | title = "Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
|
|
118 | xlabel = "Velocity (m/s)" | |
|
|
119 | ylabel = "Range (Km)" | |
|
|
120 | ||
|
|
121 | self.setWinTitle(title) | |
|
|
122 | ||
|
|
123 | for i in range(self.nplots): | |
|
|
124 | title = "Channel %d: %4.2fdB" %(dataOut.channelList[i], noise[i]) | |
|
|
125 | axes = self.axesList[i*self.__nsubplots] | |
|
|
126 | z = avg[i].reshape((1,-1)) | |
|
|
127 | axes.pcolor(x, y, z, | |
|
|
128 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
|
|
129 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, | |
|
|
130 | ticksize=9, cblabel='') | |
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|
131 | ||
|
|
132 | if self.__showprofile: | |
|
|
133 | axes = self.axesList[i*self.__nsubplots +1] | |
|
|
134 | axes.pline(avg[i], y, | |
|
|
135 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
|
|
136 | xlabel='dB', ylabel='', title='', | |
|
|
137 | ytick_visible=False, | |
|
|
138 | grid='x') | |
|
|
139 | ||
|
|
140 | self.draw() | |
|
|
141 | ||
|
|
5 | 142 | class SpectraPlot(Figure): |
|
|
6 | 143 | |
|
|
7 | 144 | __isConfig = None |
|
|
8 | 145 | __nsubplots = None |
|
|
9 | 146 | |
|
|
10 | 147 | WIDTHPROF = None |
|
|
11 | 148 | HEIGHTPROF = None |
|
|
12 | 149 | |
|
|
13 | 150 | def __init__(self): |
|
|
14 | 151 | |
|
|
15 | 152 | self.__isConfig = False |
|
|
16 | 153 | self.__nsubplots = 1 |
|
|
17 | 154 | |
|
|
18 | 155 | self.WIDTH = 300 |
|
|
19 | 156 | self.HEIGHT = 400 |
|
|
20 | 157 | self.WIDTHPROF = 120 |
|
|
21 | 158 | self.HEIGHTPROF = 0 |
|
|
22 | 159 | |
|
|
23 | 160 | def getSubplots(self): |
|
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24 | 161 | |
|
|
25 | 162 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
26 | 163 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
27 | 164 | |
|
|
28 | 165 | return nrow, ncol |
|
|
29 | 166 | |
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|
30 | 167 | def setup(self, idfigure, nplots, wintitle, showprofile=True): |
|
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31 | 168 | |
|
|
32 | 169 | self.__showprofile = showprofile |
|
|
33 | 170 | self.nplots = nplots |
|
|
34 | 171 | |
|
|
35 | 172 | ncolspan = 1 |
|
|
36 | 173 | colspan = 1 |
|
|
37 | 174 | if showprofile: |
|
|
38 | 175 | ncolspan = 3 |
|
|
39 | 176 | colspan = 2 |
|
|
40 | 177 | self.__nsubplots = 2 |
|
|
41 | 178 | self.WIDTH += self.WIDTHPROF |
|
|
42 | 179 | self.HEIGHT += self.HEIGHTPROF |
|
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43 | 180 | |
|
|
44 | 181 | self.createFigure(idfigure, wintitle) |
|
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45 | 182 | |
|
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46 | 183 | nrow, ncol = self.getSubplots() |
|
|
47 | 184 | |
|
|
48 | 185 | counter = 0 |
|
|
49 | 186 | for y in range(nrow): |
|
|
50 | 187 | for x in range(ncol): |
|
|
51 | 188 | |
|
|
52 | 189 | if counter >= self.nplots: |
|
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53 | 190 | break |
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54 | 191 | |
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55 | 192 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
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56 | 193 | |
|
|
57 | 194 | if showprofile: |
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58 |
self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+ |
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|
195 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
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59 | 196 | |
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|
60 | 197 | counter += 1 |
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61 | 198 | |
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62 | 199 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True', |
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|
63 | 200 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None): |
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|
64 | 201 | |
|
|
65 | 202 | """ |
|
|
66 | 203 | |
|
|
67 | 204 | Input: |
|
|
68 | 205 | dataOut : |
|
|
69 | 206 | idfigure : |
|
|
70 | 207 | wintitle : |
|
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71 | 208 | channelList : |
|
|
72 | 209 | showProfile : |
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|
73 | 210 | xmin : None, |
|
|
74 | 211 | xmax : None, |
|
|
75 | 212 | ymin : None, |
|
|
76 | 213 | ymax : None, |
|
|
77 | 214 | zmin : None, |
|
|
78 | 215 | zmax : None |
|
|
79 | 216 | """ |
|
|
80 | 217 | |
|
|
81 | 218 | if channelList == None: |
|
|
82 | 219 | channelIndexList = dataOut.channelIndexList |
|
|
83 | 220 | else: |
|
|
84 | 221 | channelIndexList = [] |
|
|
85 | 222 | for channel in channelList: |
|
|
86 | 223 | if channel not in dataOut.channelList: |
|
|
87 | 224 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
88 | 225 | channelIndexList.append(channel) |
|
|
89 | 226 | |
|
|
90 | 227 | x = dataOut.getVelRange(1) |
|
|
91 |
y = dataOut. |
|
|
|
228 | y = dataOut.getHeiRange() | |
|
|
92 | 229 | z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:]) |
|
|
93 | 230 | avg = numpy.average(z, axis=1) |
|
|
94 | 231 | |
|
|
95 | 232 | noise = dataOut.getNoise() |
|
|
96 | 233 | |
|
|
97 | 234 | if not self.__isConfig: |
|
|
98 | 235 | |
|
|
99 | 236 | nplots = len(channelIndexList) |
|
|
100 | 237 | |
|
|
101 | 238 | self.setup(idfigure=idfigure, |
|
|
102 | 239 | nplots=nplots, |
|
|
103 | 240 | wintitle=wintitle, |
|
|
104 | 241 | showprofile=showprofile) |
|
|
105 | 242 | |
|
|
106 | 243 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
107 | 244 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
108 | 245 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
109 | 246 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
110 | 247 | if zmin == None: zmin = numpy.nanmin(avg)*0.9 |
|
|
111 | 248 | if zmax == None: zmax = numpy.nanmax(avg)*0.9 |
|
|
112 | 249 | |
|
|
113 | 250 | self.__isConfig = True |
|
|
114 | 251 | |
|
|
115 | 252 | thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime) |
|
|
116 | 253 | title = "Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
117 | 254 | xlabel = "Velocity (m/s)" |
|
|
118 | 255 | ylabel = "Range (Km)" |
|
|
119 | 256 | |
|
|
120 | 257 | self.setWinTitle(title) |
|
|
121 | 258 | |
|
|
122 | 259 | for i in range(self.nplots): |
|
|
123 | 260 | title = "Channel %d: %4.2fdB" %(dataOut.channelList[i], noise[i]) |
|
|
124 | 261 | axes = self.axesList[i*self.__nsubplots] |
|
|
125 | 262 | axes.pcolor(x, y, z[i,:,:], |
|
|
126 | 263 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
127 | 264 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
128 | 265 | ticksize=9, cblabel='') |
|
|
129 | 266 | |
|
|
130 | 267 | if self.__showprofile: |
|
|
131 | 268 | axes = self.axesList[i*self.__nsubplots +1] |
|
|
132 | 269 | axes.pline(avg[i], y, |
|
|
133 | 270 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
134 | 271 | xlabel='dB', ylabel='', title='', |
|
|
135 | 272 | ytick_visible=False, |
|
|
136 | 273 | grid='x') |
|
|
137 | 274 | |
|
|
138 | 275 | self.draw() |
|
|
139 | 276 | |
|
|
140 | 277 | class Scope(Figure): |
|
|
141 | 278 | |
|
|
142 | 279 | __isConfig = None |
|
|
143 | 280 | |
|
|
144 | 281 | def __init__(self): |
|
|
145 | 282 | |
|
|
146 | 283 | self.__isConfig = False |
|
|
147 | 284 | self.WIDTH = 600 |
|
|
148 | 285 | self.HEIGHT = 200 |
|
|
149 | 286 | |
|
|
150 | 287 | def getSubplots(self): |
|
|
151 | 288 | |
|
|
152 | 289 | nrow = self.nplots |
|
|
153 | 290 | ncol = 3 |
|
|
154 | 291 | return nrow, ncol |
|
|
155 | 292 | |
|
|
156 | 293 | def setup(self, idfigure, nplots, wintitle): |
|
|
157 | 294 | |
|
|
158 | 295 | self.createFigure(idfigure, wintitle) |
|
|
159 | 296 | |
|
|
160 | 297 | nrow,ncol = self.getSubplots() |
|
|
161 | 298 | colspan = 3 |
|
|
162 | 299 | rowspan = 1 |
|
|
163 | 300 | |
|
|
164 | 301 | for i in range(nplots): |
|
|
165 | 302 | self.addAxes(nrow, ncol, i, 0, colspan, rowspan) |
|
|
166 | 303 | |
|
|
167 | 304 | self.nplots = nplots |
|
|
168 | 305 | |
|
|
169 | 306 | def run(self, dataOut, idfigure, wintitle="", channelList=None, |
|
|
170 | 307 | xmin=None, xmax=None, ymin=None, ymax=None): |
|
|
171 | 308 | |
|
|
172 | 309 | """ |
|
|
173 | 310 | |
|
|
174 | 311 | Input: |
|
|
175 | 312 | dataOut : |
|
|
176 | 313 | idfigure : |
|
|
177 | 314 | wintitle : |
|
|
178 | 315 | channelList : |
|
|
179 | 316 | xmin : None, |
|
|
180 | 317 | xmax : None, |
|
|
181 | 318 | ymin : None, |
|
|
182 | 319 | ymax : None, |
|
|
183 | 320 | """ |
|
|
184 | 321 | |
|
|
185 | 322 | if channelList == None: |
|
|
186 | 323 | channelList = dataOut.channelList |
|
|
187 | 324 | |
|
|
188 | 325 | x = dataOut.heightList |
|
|
189 | 326 | y = dataOut.data[channelList,:] * numpy.conjugate(dataOut.data[channelList,:]) |
|
|
190 | 327 | y = y.real |
|
|
191 | 328 | |
|
|
192 | 329 | noise = dataOut.getNoise() |
|
|
193 | 330 | |
|
|
194 | 331 | if not self.__isConfig: |
|
|
195 | 332 | nplots = len(channelList) |
|
|
196 | 333 | |
|
|
197 | 334 | self.setup(idfigure=idfigure, |
|
|
198 | 335 | nplots=nplots, |
|
|
199 | 336 | wintitle=wintitle) |
|
|
200 | 337 | |
|
|
201 | 338 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
202 | 339 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
203 | 340 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
204 | 341 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
205 | 342 | |
|
|
206 | 343 | self.__isConfig = True |
|
|
207 | 344 | |
|
|
208 | 345 | |
|
|
209 | 346 | thisDatetime = datetime.datetime.fromtimestamp(dataOut.utctime) |
|
|
210 | 347 | title = "Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
211 | 348 | xlabel = "Range (Km)" |
|
|
212 | 349 | ylabel = "Intensity" |
|
|
213 | 350 | |
|
|
214 | 351 | self.setWinTitle(title) |
|
|
215 | 352 | |
|
|
216 | 353 | for i in range(len(self.axesList)): |
|
|
217 | 354 | title = "Channel %d: %4.2fdB" %(i, noise[i]) |
|
|
218 | 355 | axes = self.axesList[i] |
|
|
219 | 356 | ychannel = y[i,:] |
|
|
220 | 357 | axes.pline(x, ychannel, |
|
|
221 | 358 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
222 | 359 | xlabel=xlabel, ylabel=ylabel, title=title) |
|
|
223 | 360 | |
|
|
224 | 361 | self.draw() |
|
|
225 | 362 | |
|
|
226 | 363 | |
|
|
227 | 364 | No newline at end of file |
| @@ -1,836 +1,836 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | $Author: dsuarez $ |
|
|
4 | 4 | $Id: Processor.py 1 2012-11-12 18:56:07Z dsuarez $ |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import numpy |
|
|
8 | 8 | import datetime |
|
|
9 | 9 | import time |
|
|
10 | 10 | |
|
|
11 | 11 | from jrodata import * |
|
|
12 | 12 | from jrodataIO import * |
|
|
13 | 13 | from jroplot import * |
|
|
14 | 14 | |
|
|
15 | 15 | class ProcessingUnit: |
|
|
16 | 16 | |
|
|
17 | 17 | """ |
|
|
18 | 18 | Esta es la clase base para el procesamiento de datos. |
|
|
19 | 19 | |
|
|
20 | 20 | Contiene el metodo "call" para llamar operaciones. Las operaciones pueden ser: |
|
|
21 | 21 | - Metodos internos (callMethod) |
|
|
22 | 22 | - Objetos del tipo Operation (callObject). Antes de ser llamados, estos objetos |
|
|
23 | 23 | tienen que ser agreagados con el metodo "add". |
|
|
24 | 24 | |
|
|
25 | 25 | """ |
|
|
26 | 26 | # objeto de datos de entrada (Voltage, Spectra o Correlation) |
|
|
27 | 27 | dataIn = None |
|
|
28 | 28 | |
|
|
29 | 29 | # objeto de datos de entrada (Voltage, Spectra o Correlation) |
|
|
30 | 30 | dataOut = None |
|
|
31 | 31 | |
|
|
32 | 32 | |
|
|
33 | 33 | objectDict = None |
|
|
34 | 34 | |
|
|
35 | 35 | def __init__(self): |
|
|
36 | 36 | |
|
|
37 | 37 | self.objectDict = {} |
|
|
38 | 38 | |
|
|
39 | 39 | def init(self): |
|
|
40 | 40 | |
|
|
41 | 41 | raise ValueError, "Not implemented" |
|
|
42 | 42 | |
|
|
43 | 43 | def addOperation(self, object, objId): |
|
|
44 | 44 | |
|
|
45 | 45 | """ |
|
|
46 | 46 | Agrega el objeto "object" a la lista de objetos "self.objectList" y retorna el |
|
|
47 | 47 | identificador asociado a este objeto. |
|
|
48 | 48 | |
|
|
49 | 49 | Input: |
|
|
50 | 50 | |
|
|
51 | 51 | object : objeto de la clase "Operation" |
|
|
52 | 52 | |
|
|
53 | 53 | Return: |
|
|
54 | 54 | |
|
|
55 | 55 | objId : identificador del objeto, necesario para ejecutar la operacion |
|
|
56 | 56 | """ |
|
|
57 | 57 | |
|
|
58 | 58 | self.objectDict[objId] = object |
|
|
59 | 59 | |
|
|
60 | 60 | return objId |
|
|
61 | 61 | |
|
|
62 | 62 | def operation(self, **kwargs): |
|
|
63 | 63 | |
|
|
64 | 64 | """ |
|
|
65 | 65 | Operacion directa sobre la data (dataout.data). Es necesario actualizar los valores de los |
|
|
66 | 66 | atributos del objeto dataOut |
|
|
67 | 67 | |
|
|
68 | 68 | Input: |
|
|
69 | 69 | |
|
|
70 | 70 | **kwargs : Diccionario de argumentos de la funcion a ejecutar |
|
|
71 | 71 | """ |
|
|
72 | 72 | |
|
|
73 | 73 | raise ValueError, "ImplementedError" |
|
|
74 | 74 | |
|
|
75 | 75 | def callMethod(self, name, **kwargs): |
|
|
76 | 76 | |
|
|
77 | 77 | """ |
|
|
78 | 78 | Ejecuta el metodo con el nombre "name" y con argumentos **kwargs de la propia clase. |
|
|
79 | 79 | |
|
|
80 | 80 | Input: |
|
|
81 | 81 | name : nombre del metodo a ejecutar |
|
|
82 | 82 | |
|
|
83 | 83 | **kwargs : diccionario con los nombres y valores de la funcion a ejecutar. |
|
|
84 | 84 | |
|
|
85 | 85 | """ |
|
|
86 | 86 | if name != 'run': |
|
|
87 | 87 | |
|
|
88 | 88 | if name == 'init' and self.dataIn.isEmpty(): |
|
|
89 | 89 | self.dataOut.flagNoData = True |
|
|
90 | 90 | return False |
|
|
91 | 91 | |
|
|
92 | 92 | if name != 'init' and self.dataOut.isEmpty(): |
|
|
93 | 93 | return False |
|
|
94 | 94 | |
|
|
95 | 95 | methodToCall = getattr(self, name) |
|
|
96 | 96 | |
|
|
97 | 97 | methodToCall(**kwargs) |
|
|
98 | 98 | |
|
|
99 | 99 | if name != 'run': |
|
|
100 | 100 | return True |
|
|
101 | 101 | |
|
|
102 | 102 | if self.dataOut.isEmpty(): |
|
|
103 | 103 | return False |
|
|
104 | 104 | |
|
|
105 | 105 | return True |
|
|
106 | 106 | |
|
|
107 | 107 | def callObject(self, objId, **kwargs): |
|
|
108 | 108 | |
|
|
109 | 109 | """ |
|
|
110 | 110 | Ejecuta la operacion asociada al identificador del objeto "objId" |
|
|
111 | 111 | |
|
|
112 | 112 | Input: |
|
|
113 | 113 | |
|
|
114 | 114 | objId : identificador del objeto a ejecutar |
|
|
115 | 115 | |
|
|
116 | 116 | **kwargs : diccionario con los nombres y valores de la funcion a ejecutar. |
|
|
117 | 117 | |
|
|
118 | 118 | Return: |
|
|
119 | 119 | |
|
|
120 | 120 | None |
|
|
121 | 121 | """ |
|
|
122 | 122 | |
|
|
123 | 123 | if self.dataOut.isEmpty(): |
|
|
124 | 124 | return False |
|
|
125 | 125 | |
|
|
126 | 126 | object = self.objectDict[objId] |
|
|
127 | 127 | |
|
|
128 | 128 | object.run(self.dataOut, **kwargs) |
|
|
129 | 129 | |
|
|
130 | 130 | return True |
|
|
131 | 131 | |
|
|
132 | 132 | def call(self, operationConf, **kwargs): |
|
|
133 | 133 | |
|
|
134 | 134 | """ |
|
|
135 | 135 | Return True si ejecuta la operacion "operationConf.name" con los |
|
|
136 | 136 | argumentos "**kwargs". False si la operacion no se ha ejecutado. |
|
|
137 | 137 | La operacion puede ser de dos tipos: |
|
|
138 | 138 | |
|
|
139 | 139 | 1. Un metodo propio de esta clase: |
|
|
140 | 140 | |
|
|
141 | 141 | operation.type = "self" |
|
|
142 | 142 | |
|
|
143 | 143 | 2. El metodo "run" de un objeto del tipo Operation o de un derivado de ella: |
|
|
144 | 144 | operation.type = "other". |
|
|
145 | 145 | |
|
|
146 | 146 | Este objeto de tipo Operation debe de haber sido agregado antes con el metodo: |
|
|
147 | 147 | "addOperation" e identificado con el operation.id |
|
|
148 | 148 | |
|
|
149 | 149 | |
|
|
150 | 150 | con el id de la operacion. |
|
|
151 | 151 | |
|
|
152 | 152 | Input: |
|
|
153 | 153 | |
|
|
154 | 154 | Operation : Objeto del tipo operacion con los atributos: name, type y id. |
|
|
155 | 155 | |
|
|
156 | 156 | """ |
|
|
157 | 157 | |
|
|
158 | 158 | if operationConf.type == 'self': |
|
|
159 | 159 | sts = self.callMethod(operationConf.name, **kwargs) |
|
|
160 | 160 | |
|
|
161 | 161 | if operationConf.type == 'other': |
|
|
162 | 162 | sts = self.callObject(operationConf.id, **kwargs) |
|
|
163 | 163 | |
|
|
164 | 164 | return sts |
|
|
165 | 165 | |
|
|
166 | 166 | def setInput(self, dataIn): |
|
|
167 | 167 | |
|
|
168 | 168 | self.dataIn = dataIn |
|
|
169 | 169 | |
|
|
170 | 170 | def getOutput(self): |
|
|
171 | 171 | |
|
|
172 | 172 | return self.dataOut |
|
|
173 | 173 | |
|
|
174 | 174 | class Operation(): |
|
|
175 | 175 | |
|
|
176 | 176 | """ |
|
|
177 | 177 | Clase base para definir las operaciones adicionales que se pueden agregar a la clase ProcessingUnit |
|
|
178 | 178 | y necesiten acumular informacion previa de los datos a procesar. De preferencia usar un buffer de |
|
|
179 | 179 | acumulacion dentro de esta clase |
|
|
180 | 180 | |
|
|
181 | 181 | Ejemplo: Integraciones coherentes, necesita la informacion previa de los n perfiles anteriores (bufffer) |
|
|
182 | 182 | |
|
|
183 | 183 | """ |
|
|
184 | 184 | |
|
|
185 | 185 | __buffer = None |
|
|
186 | 186 | __isConfig = False |
|
|
187 | 187 | |
|
|
188 | 188 | def __init__(self): |
|
|
189 | 189 | |
|
|
190 | 190 | pass |
|
|
191 | 191 | |
|
|
192 | 192 | def run(self, dataIn, **kwargs): |
|
|
193 | 193 | |
|
|
194 | 194 | """ |
|
|
195 | 195 | Realiza las operaciones necesarias sobre la dataIn.data y actualiza los atributos del objeto dataIn. |
|
|
196 | 196 | |
|
|
197 | 197 | Input: |
|
|
198 | 198 | |
|
|
199 | 199 | dataIn : objeto del tipo JROData |
|
|
200 | 200 | |
|
|
201 | 201 | Return: |
|
|
202 | 202 | |
|
|
203 | 203 | None |
|
|
204 | 204 | |
|
|
205 | 205 | Affected: |
|
|
206 | 206 | __buffer : buffer de recepcion de datos. |
|
|
207 | 207 | |
|
|
208 | 208 | """ |
|
|
209 | 209 | |
|
|
210 | 210 | raise ValueError, "ImplementedError" |
|
|
211 | 211 | |
|
|
212 | 212 | class VoltageProc(ProcessingUnit): |
|
|
213 | 213 | |
|
|
214 | 214 | |
|
|
215 | 215 | def __init__(self): |
|
|
216 | 216 | |
|
|
217 | 217 | self.objectDict = {} |
|
|
218 | 218 | self.dataOut = Voltage() |
|
|
219 | 219 | |
|
|
220 | 220 | def init(self): |
|
|
221 | 221 | |
|
|
222 | 222 | self.dataOut.copy(self.dataIn) |
|
|
223 | 223 | # No necesita copiar en cada init() los atributos de dataIn |
|
|
224 | 224 | # la copia deberia hacerse por cada nuevo bloque de datos |
|
|
225 | 225 | |
|
|
226 | 226 | def selectChannels(self, channelList): |
|
|
227 | 227 | |
|
|
228 | 228 | channelIndexList = [] |
|
|
229 | 229 | |
|
|
230 | 230 | for channel in channelList: |
|
|
231 | 231 | index = self.dataOut.channelList.index(channel) |
|
|
232 | 232 | channelIndexList.append(index) |
|
|
233 | 233 | |
|
|
234 | 234 | self.selectChannelsByIndex(channelIndexList) |
|
|
235 | 235 | |
|
|
236 | 236 | def selectChannelsByIndex(self, channelIndexList): |
|
|
237 | 237 | """ |
|
|
238 | 238 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|
239 | 239 | |
|
|
240 | 240 | Input: |
|
|
241 | 241 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|
242 | 242 | |
|
|
243 | 243 | Affected: |
|
|
244 | 244 | self.dataOut.data |
|
|
245 | 245 | self.dataOut.channelIndexList |
|
|
246 | 246 | self.dataOut.nChannels |
|
|
247 | 247 | self.dataOut.m_ProcessingHeader.totalSpectra |
|
|
248 | 248 | self.dataOut.systemHeaderObj.numChannels |
|
|
249 | 249 | self.dataOut.m_ProcessingHeader.blockSize |
|
|
250 | 250 | |
|
|
251 | 251 | Return: |
|
|
252 | 252 | None |
|
|
253 | 253 | """ |
|
|
254 | 254 | |
|
|
255 | 255 | for channelIndex in channelIndexList: |
|
|
256 | 256 | if channelIndex not in self.dataOut.channelIndexList: |
|
|
257 | 257 | print channelIndexList |
|
|
258 | 258 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
|
259 | 259 | |
|
|
260 | 260 | nChannels = len(channelIndexList) |
|
|
261 | 261 | |
|
|
262 | 262 | data = self.dataOut.data[channelIndexList,:] |
|
|
263 | 263 | |
|
|
264 | 264 | self.dataOut.data = data |
|
|
265 | 265 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|
266 | 266 | # self.dataOut.nChannels = nChannels |
|
|
267 | 267 | |
|
|
268 | 268 | return 1 |
|
|
269 | 269 | |
|
|
270 | 270 | class CohInt(Operation): |
|
|
271 | 271 | |
|
|
272 | 272 | __profIndex = 0 |
|
|
273 | 273 | __withOverapping = False |
|
|
274 | 274 | |
|
|
275 | 275 | __byTime = False |
|
|
276 | 276 | __initime = None |
|
|
277 | 277 | __lastdatatime = None |
|
|
278 | 278 | __integrationtime = None |
|
|
279 | 279 | |
|
|
280 | 280 | __buffer = None |
|
|
281 | 281 | |
|
|
282 | 282 | __dataReady = False |
|
|
283 | 283 | |
|
|
284 | 284 | n = None |
|
|
285 | 285 | |
|
|
286 | 286 | |
|
|
287 | 287 | def __init__(self): |
|
|
288 | 288 | |
|
|
289 | 289 | self.__isConfig = False |
|
|
290 | 290 | |
|
|
291 | 291 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
|
292 | 292 | """ |
|
|
293 | 293 | Set the parameters of the integration class. |
|
|
294 | 294 | |
|
|
295 | 295 | Inputs: |
|
|
296 | 296 | |
|
|
297 | 297 | n : Number of coherent integrations |
|
|
298 | 298 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|
299 | 299 | overlapping : |
|
|
300 | 300 | |
|
|
301 | 301 | """ |
|
|
302 | 302 | |
|
|
303 | 303 | self.__initime = None |
|
|
304 | 304 | self.__lastdatatime = 0 |
|
|
305 | 305 | self.__buffer = None |
|
|
306 | 306 | self.__dataReady = False |
|
|
307 | 307 | |
|
|
308 | 308 | |
|
|
309 | 309 | if n == None and timeInterval == None: |
|
|
310 | 310 | raise ValueError, "n or timeInterval should be specified ..." |
|
|
311 | 311 | |
|
|
312 | 312 | if n != None: |
|
|
313 | 313 | self.n = n |
|
|
314 | 314 | self.__byTime = False |
|
|
315 | 315 | else: |
|
|
316 | 316 | self.__integrationtime = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line |
|
|
317 | 317 | self.n = 9999 |
|
|
318 | 318 | self.__byTime = True |
|
|
319 | 319 | |
|
|
320 | 320 | if overlapping: |
|
|
321 | 321 | self.__withOverapping = True |
|
|
322 | 322 | self.__buffer = None |
|
|
323 | 323 | else: |
|
|
324 | 324 | self.__withOverapping = False |
|
|
325 | 325 | self.__buffer = 0 |
|
|
326 | 326 | |
|
|
327 | 327 | self.__profIndex = 0 |
|
|
328 | 328 | |
|
|
329 | 329 | def putData(self, data): |
|
|
330 | 330 | |
|
|
331 | 331 | """ |
|
|
332 | 332 | Add a profile to the __buffer and increase in one the __profileIndex |
|
|
333 | 333 | |
|
|
334 | 334 | """ |
|
|
335 | 335 | |
|
|
336 | 336 | if not self.__withOverapping: |
|
|
337 | 337 | self.__buffer += data.copy() |
|
|
338 | 338 | self.__profIndex += 1 |
|
|
339 | 339 | return |
|
|
340 | 340 | |
|
|
341 | 341 | #Overlapping data |
|
|
342 | 342 | nChannels, nHeis = data.shape |
|
|
343 | 343 | data = numpy.reshape(data, (1, nChannels, nHeis)) |
|
|
344 | 344 | |
|
|
345 | 345 | #If the buffer is empty then it takes the data value |
|
|
346 | 346 | if self.__buffer == None: |
|
|
347 | 347 | self.__buffer = data |
|
|
348 | 348 | self.__profIndex += 1 |
|
|
349 | 349 | return |
|
|
350 | 350 | |
|
|
351 | 351 | #If the buffer length is lower than n then stakcing the data value |
|
|
352 | 352 | if self.__profIndex < self.n: |
|
|
353 | 353 | self.__buffer = numpy.vstack((self.__buffer, data)) |
|
|
354 | 354 | self.__profIndex += 1 |
|
|
355 | 355 | return |
|
|
356 | 356 | |
|
|
357 | 357 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
|
358 | 358 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) |
|
|
359 | 359 | self.__buffer[self.n-1] = data |
|
|
360 | 360 | self.__profIndex = self.n |
|
|
361 | 361 | return |
|
|
362 | 362 | |
|
|
363 | 363 | |
|
|
364 | 364 | def pushData(self): |
|
|
365 | 365 | """ |
|
|
366 | 366 | Return the sum of the last profiles and the profiles used in the sum. |
|
|
367 | 367 | |
|
|
368 | 368 | Affected: |
|
|
369 | 369 | |
|
|
370 | 370 | self.__profileIndex |
|
|
371 | 371 | |
|
|
372 | 372 | """ |
|
|
373 | 373 | |
|
|
374 | 374 | if not self.__withOverapping: |
|
|
375 | 375 | data = self.__buffer |
|
|
376 | 376 | n = self.__profIndex |
|
|
377 | 377 | |
|
|
378 | 378 | self.__buffer = 0 |
|
|
379 | 379 | self.__profIndex = 0 |
|
|
380 | 380 | |
|
|
381 | 381 | return data, n |
|
|
382 | 382 | |
|
|
383 | 383 | #Integration with Overlapping |
|
|
384 | 384 | data = numpy.sum(self.__buffer, axis=0) |
|
|
385 | 385 | n = self.__profIndex |
|
|
386 | 386 | |
|
|
387 | 387 | return data, n |
|
|
388 | 388 | |
|
|
389 | 389 | def byProfiles(self, data): |
|
|
390 | 390 | |
|
|
391 | 391 | self.__dataReady = False |
|
|
392 | 392 | avgdata = None |
|
|
393 | 393 | n = None |
|
|
394 | 394 | |
|
|
395 | 395 | self.putData(data) |
|
|
396 | 396 | |
|
|
397 | 397 | if self.__profIndex == self.n: |
|
|
398 | 398 | |
|
|
399 | 399 | avgdata, n = self.pushData() |
|
|
400 | 400 | self.__dataReady = True |
|
|
401 | 401 | |
|
|
402 | 402 | return avgdata |
|
|
403 | 403 | |
|
|
404 | 404 | def byTime(self, data, datatime): |
|
|
405 | 405 | |
|
|
406 | 406 | self.__dataReady = False |
|
|
407 | 407 | avgdata = None |
|
|
408 | 408 | n = None |
|
|
409 | 409 | |
|
|
410 | 410 | self.putData(data) |
|
|
411 | 411 | |
|
|
412 | 412 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|
413 | 413 | avgdata, n = self.pushData() |
|
|
414 | 414 | self.n = n |
|
|
415 | 415 | self.__dataReady = True |
|
|
416 | 416 | |
|
|
417 | 417 | return avgdata |
|
|
418 | 418 | |
|
|
419 | 419 | def integrate(self, data, datatime=None): |
|
|
420 | 420 | |
|
|
421 | 421 | if self.__initime == None: |
|
|
422 | 422 | self.__initime = datatime |
|
|
423 | 423 | |
|
|
424 | 424 | if self.__byTime: |
|
|
425 | 425 | avgdata = self.byTime(data, datatime) |
|
|
426 | 426 | else: |
|
|
427 | 427 | avgdata = self.byProfiles(data) |
|
|
428 | 428 | |
|
|
429 | 429 | |
|
|
430 | 430 | self.__lastdatatime = datatime |
|
|
431 | 431 | |
|
|
432 | 432 | if avgdata == None: |
|
|
433 | 433 | return None, None |
|
|
434 | 434 | |
|
|
435 | 435 | avgdatatime = self.__initime |
|
|
436 | 436 | |
|
|
437 | 437 | deltatime = datatime -self.__lastdatatime |
|
|
438 | 438 | |
|
|
439 | 439 | if not self.__withOverapping: |
|
|
440 | 440 | self.__initime = datatime |
|
|
441 | 441 | else: |
|
|
442 | 442 | self.__initime += deltatime |
|
|
443 | 443 | |
|
|
444 | 444 | return avgdata, avgdatatime |
|
|
445 | 445 | |
|
|
446 | 446 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False): |
|
|
447 | 447 | |
|
|
448 | 448 | if not self.__isConfig: |
|
|
449 | 449 | self.setup(n, timeInterval, overlapping) |
|
|
450 | 450 | self.__isConfig = True |
|
|
451 | 451 | |
|
|
452 | 452 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) |
|
|
453 | 453 | |
|
|
454 | 454 | # dataOut.timeInterval *= n |
|
|
455 | 455 | dataOut.flagNoData = True |
|
|
456 | 456 | |
|
|
457 | 457 | if self.__dataReady: |
|
|
458 | 458 | dataOut.data = avgdata |
|
|
459 | 459 | dataOut.nCohInt *= self.n |
|
|
460 | 460 | dataOut.utctime = avgdatatime |
|
|
461 | 461 | dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt |
|
|
462 | 462 | dataOut.flagNoData = False |
|
|
463 | 463 | |
|
|
464 | 464 | |
|
|
465 | 465 | class SpectraProc(ProcessingUnit): |
|
|
466 | 466 | |
|
|
467 | 467 | def __init__(self): |
|
|
468 | 468 | |
|
|
469 | 469 | self.objectDict = {} |
|
|
470 | 470 | self.buffer = None |
|
|
471 | 471 | self.firstdatatime = None |
|
|
472 | 472 | self.profIndex = 0 |
|
|
473 | 473 | self.dataOut = Spectra() |
|
|
474 | 474 | |
|
|
475 | 475 | def __updateObjFromInput(self): |
|
|
476 | 476 | |
|
|
477 | 477 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() |
|
|
478 | 478 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() |
|
|
479 | 479 | self.dataOut.channelList = self.dataIn.channelList |
|
|
480 | 480 | self.dataOut.heightList = self.dataIn.heightList |
|
|
481 | 481 | self.dataOut.dtype = self.dataIn.dtype |
|
|
482 | self.dataOut.nHeights = self.dataIn.nHeights | |
|
|
482 | # self.dataOut.nHeights = self.dataIn.nHeights | |
|
|
483 | 483 | # self.dataOut.nChannels = self.dataIn.nChannels |
|
|
484 | 484 | self.dataOut.nBaud = self.dataIn.nBaud |
|
|
485 | 485 | self.dataOut.nCode = self.dataIn.nCode |
|
|
486 | 486 | self.dataOut.code = self.dataIn.code |
|
|
487 | 487 | self.dataOut.nProfiles = self.dataOut.nFFTPoints |
|
|
488 | 488 | # self.dataOut.channelIndexList = self.dataIn.channelIndexList |
|
|
489 | 489 | self.dataOut.flagTimeBlock = self.dataIn.flagTimeBlock |
|
|
490 | 490 | self.dataOut.utctime = self.firstdatatime |
|
|
491 | 491 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada |
|
|
492 | 492 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip |
|
|
493 | 493 | self.dataOut.flagShiftFFT = self.dataIn.flagShiftFFT |
|
|
494 | 494 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
|
495 | 495 | self.dataOut.nIncohInt = 1 |
|
|
496 | 496 | self.dataOut.ippSeconds = self.dataIn.ippSeconds |
|
|
497 | 497 | self.dataOut.timeInterval = self.dataIn.timeInterval*self.dataOut.nFFTPoints |
|
|
498 | 498 | |
|
|
499 | 499 | def __getFft(self): |
|
|
500 | 500 | """ |
|
|
501 | 501 | Convierte valores de Voltaje a Spectra |
|
|
502 | 502 | |
|
|
503 | 503 | Affected: |
|
|
504 | 504 | self.dataOut.data_spc |
|
|
505 | 505 | self.dataOut.data_cspc |
|
|
506 | 506 | self.dataOut.data_dc |
|
|
507 | 507 | self.dataOut.heightList |
|
|
508 | 508 | self.dataOut.m_BasicHeader |
|
|
509 | 509 | self.dataOut.m_ProcessingHeader |
|
|
510 | 510 | self.dataOut.radarControllerHeaderObj |
|
|
511 | 511 | self.dataOut.systemHeaderObj |
|
|
512 | 512 | self.profIndex |
|
|
513 | 513 | self.buffer |
|
|
514 | 514 | self.dataOut.flagNoData |
|
|
515 | 515 | self.dataOut.dtype |
|
|
516 | 516 | self.dataOut.nPairs |
|
|
517 | 517 | self.dataOut.nChannels |
|
|
518 | 518 | self.dataOut.nProfiles |
|
|
519 | 519 | self.dataOut.systemHeaderObj.numChannels |
|
|
520 | 520 | self.dataOut.m_ProcessingHeader.totalSpectra |
|
|
521 | 521 | self.dataOut.m_ProcessingHeader.profilesPerBlock |
|
|
522 | 522 | self.dataOut.m_ProcessingHeader.numHeights |
|
|
523 | 523 | self.dataOut.m_ProcessingHeader.spectraComb |
|
|
524 | 524 | self.dataOut.m_ProcessingHeader.shif_fft |
|
|
525 | 525 | """ |
|
|
526 | 526 | fft_volt = numpy.fft.fft(self.buffer,axis=1) |
|
|
527 | 527 | dc = fft_volt[:,0,:] |
|
|
528 | 528 | |
|
|
529 | 529 | #calculo de self-spectra |
|
|
530 | 530 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) |
|
|
531 | 531 | spc = fft_volt * numpy.conjugate(fft_volt) |
|
|
532 | 532 | spc = spc.real |
|
|
533 | 533 | |
|
|
534 | 534 | blocksize = 0 |
|
|
535 | 535 | blocksize += dc.size |
|
|
536 | 536 | blocksize += spc.size |
|
|
537 | 537 | |
|
|
538 | 538 | cspc = None |
|
|
539 | 539 | pairIndex = 0 |
|
|
540 | 540 | if self.dataOut.pairsList != None: |
|
|
541 | 541 | #calculo de cross-spectra |
|
|
542 | 542 | cspc = numpy.zeros((self.dataOut.nPairs, self.dataOut.nFFTPoints, self.dataOut.nHeights), dtype='complex') |
|
|
543 | 543 | for pair in self.dataOut.pairsList: |
|
|
544 | 544 | cspc[pairIndex,:,:] = numpy.abs(fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:])) |
|
|
545 | 545 | pairIndex += 1 |
|
|
546 | 546 | blocksize += cspc.size |
|
|
547 | 547 | |
|
|
548 | 548 | self.dataOut.data_spc = spc |
|
|
549 | 549 | self.dataOut.data_cspc = cspc |
|
|
550 | 550 | self.dataOut.data_dc = dc |
|
|
551 | 551 | self.dataOut.blockSize = blocksize |
|
|
552 | 552 | |
|
|
553 | 553 | def init(self, nFFTPoints=None, pairsList=None): |
|
|
554 | 554 | |
|
|
555 | 555 | if self.dataIn.type == "Spectra": |
|
|
556 | 556 | self.dataOut.copy(self.dataIn) |
|
|
557 | 557 | return |
|
|
558 | 558 | |
|
|
559 | 559 | if self.dataIn.type == "Voltage": |
|
|
560 | 560 | |
|
|
561 | 561 | if nFFTPoints == None: |
|
|
562 | 562 | raise ValueError, "This SpectraProc.setup() need nFFTPoints input variable" |
|
|
563 | 563 | |
|
|
564 | 564 | if pairsList == None: |
|
|
565 | 565 | nPairs = 0 |
|
|
566 | 566 | else: |
|
|
567 | 567 | nPairs = len(pairsList) |
|
|
568 | 568 | |
|
|
569 | 569 | self.dataOut.nFFTPoints = nFFTPoints |
|
|
570 | 570 | self.dataOut.pairsList = pairsList |
|
|
571 | 571 | self.dataOut.nPairs = nPairs |
|
|
572 | 572 | |
|
|
573 | 573 | if self.buffer == None: |
|
|
574 | 574 | self.buffer = numpy.zeros((self.dataIn.nChannels, |
|
|
575 | 575 | self.dataOut.nFFTPoints, |
|
|
576 | 576 | self.dataIn.nHeights), |
|
|
577 | 577 | dtype='complex') |
|
|
578 | 578 | |
|
|
579 | 579 | |
|
|
580 | 580 | self.buffer[:,self.profIndex,:] = self.dataIn.data |
|
|
581 | 581 | self.profIndex += 1 |
|
|
582 | 582 | |
|
|
583 | 583 | if self.firstdatatime == None: |
|
|
584 | 584 | self.firstdatatime = self.dataIn.utctime |
|
|
585 | 585 | |
|
|
586 | 586 | if self.profIndex == self.dataOut.nFFTPoints: |
|
|
587 | 587 | self.__updateObjFromInput() |
|
|
588 | 588 | self.__getFft() |
|
|
589 | 589 | |
|
|
590 | 590 | self.dataOut.flagNoData = False |
|
|
591 | 591 | |
|
|
592 | 592 | self.buffer = None |
|
|
593 | 593 | self.firstdatatime = None |
|
|
594 | 594 | self.profIndex = 0 |
|
|
595 | 595 | |
|
|
596 | 596 | return |
|
|
597 | 597 | |
|
|
598 | 598 | raise ValuError, "The type object %s is not valid"%(self.dataIn.type) |
|
|
599 | 599 | |
|
|
600 | 600 | def selectChannels(self, channelList): |
|
|
601 | 601 | |
|
|
602 | 602 | channelIndexList = [] |
|
|
603 | 603 | |
|
|
604 | 604 | for channel in channelList: |
|
|
605 | 605 | index = self.dataOut.channelList.index(channel) |
|
|
606 | 606 | channelIndexList.append(index) |
|
|
607 | 607 | |
|
|
608 | 608 | self.selectChannelsByIndex(channelIndexList) |
|
|
609 | 609 | |
|
|
610 | 610 | def selectChannelsByIndex(self, channelIndexList): |
|
|
611 | 611 | """ |
|
|
612 | 612 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|
613 | 613 | |
|
|
614 | 614 | Input: |
|
|
615 | 615 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|
616 | 616 | |
|
|
617 | 617 | Affected: |
|
|
618 | 618 | self.dataOut.data_spc |
|
|
619 | 619 | self.dataOut.channelIndexList |
|
|
620 | 620 | self.dataOut.nChannels |
|
|
621 | 621 | |
|
|
622 | 622 | Return: |
|
|
623 | 623 | None |
|
|
624 | 624 | """ |
|
|
625 | 625 | |
|
|
626 | 626 | for channelIndex in channelIndexList: |
|
|
627 | 627 | if channelIndex not in self.dataOut.channelIndexList: |
|
|
628 | 628 | print channelIndexList |
|
|
629 | 629 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
|
630 | 630 | |
|
|
631 | 631 | nChannels = len(channelIndexList) |
|
|
632 | 632 | |
|
|
633 | 633 | data_spc = self.dataOut.data_spc[channelIndexList,:] |
|
|
634 | 634 | |
|
|
635 | 635 | self.dataOut.data_spc = data_spc |
|
|
636 | 636 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|
637 | 637 | # self.dataOut.nChannels = nChannels |
|
|
638 | 638 | |
|
|
639 | 639 | return 1 |
|
|
640 | 640 | |
|
|
641 | 641 | |
|
|
642 | 642 | class IncohInt(Operation): |
|
|
643 | 643 | |
|
|
644 | 644 | |
|
|
645 | 645 | __profIndex = 0 |
|
|
646 | 646 | __withOverapping = False |
|
|
647 | 647 | |
|
|
648 | 648 | __byTime = False |
|
|
649 | 649 | __initime = None |
|
|
650 | 650 | __lastdatatime = None |
|
|
651 | 651 | __integrationtime = None |
|
|
652 | 652 | |
|
|
653 | 653 | __buffer = None |
|
|
654 | 654 | |
|
|
655 | 655 | __dataReady = False |
|
|
656 | 656 | |
|
|
657 | 657 | n = None |
|
|
658 | 658 | |
|
|
659 | 659 | |
|
|
660 | 660 | def __init__(self): |
|
|
661 | 661 | |
|
|
662 | 662 | self.__isConfig = False |
|
|
663 | 663 | |
|
|
664 | 664 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
|
665 | 665 | """ |
|
|
666 | 666 | Set the parameters of the integration class. |
|
|
667 | 667 | |
|
|
668 | 668 | Inputs: |
|
|
669 | 669 | |
|
|
670 | 670 | n : Number of coherent integrations |
|
|
671 | 671 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|
672 | 672 | overlapping : |
|
|
673 | 673 | |
|
|
674 | 674 | """ |
|
|
675 | 675 | |
|
|
676 | 676 | self.__initime = None |
|
|
677 | 677 | self.__lastdatatime = 0 |
|
|
678 | 678 | self.__buffer = None |
|
|
679 | 679 | self.__dataReady = False |
|
|
680 | 680 | |
|
|
681 | 681 | |
|
|
682 | 682 | if n == None and timeInterval == None: |
|
|
683 | 683 | raise ValueError, "n or timeInterval should be specified ..." |
|
|
684 | 684 | |
|
|
685 | 685 | if n != None: |
|
|
686 | 686 | self.n = n |
|
|
687 | 687 | self.__byTime = False |
|
|
688 | 688 | else: |
|
|
689 | 689 | self.__integrationtime = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line |
|
|
690 | 690 | self.n = 9999 |
|
|
691 | 691 | self.__byTime = True |
|
|
692 | 692 | |
|
|
693 | 693 | if overlapping: |
|
|
694 | 694 | self.__withOverapping = True |
|
|
695 | 695 | self.__buffer = None |
|
|
696 | 696 | else: |
|
|
697 | 697 | self.__withOverapping = False |
|
|
698 | 698 | self.__buffer = 0 |
|
|
699 | 699 | |
|
|
700 | 700 | self.__profIndex = 0 |
|
|
701 | 701 | |
|
|
702 | 702 | def putData(self, data): |
|
|
703 | 703 | |
|
|
704 | 704 | """ |
|
|
705 | 705 | Add a profile to the __buffer and increase in one the __profileIndex |
|
|
706 | 706 | |
|
|
707 | 707 | """ |
|
|
708 | 708 | |
|
|
709 | 709 | if not self.__withOverapping: |
|
|
710 | 710 | self.__buffer += data.copy() |
|
|
711 | 711 | self.__profIndex += 1 |
|
|
712 | 712 | return |
|
|
713 | 713 | |
|
|
714 | 714 | #Overlapping data |
|
|
715 | 715 | nChannels, nFFTPoints, nHeis = data.shape |
|
|
716 | 716 | data = numpy.reshape(data, (1, nChannels, nFFTPoints, nHeis)) |
|
|
717 | 717 | |
|
|
718 | 718 | #If the buffer is empty then it takes the data value |
|
|
719 | 719 | if self.__buffer == None: |
|
|
720 | 720 | self.__buffer = data |
|
|
721 | 721 | self.__profIndex += 1 |
|
|
722 | 722 | return |
|
|
723 | 723 | |
|
|
724 | 724 | #If the buffer length is lower than n then stakcing the data value |
|
|
725 | 725 | if self.__profIndex < self.n: |
|
|
726 | 726 | self.__buffer = numpy.vstack((self.__buffer, data)) |
|
|
727 | 727 | self.__profIndex += 1 |
|
|
728 | 728 | return |
|
|
729 | 729 | |
|
|
730 | 730 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
|
731 | 731 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) |
|
|
732 | 732 | self.__buffer[self.n-1] = data |
|
|
733 | 733 | self.__profIndex = self.n |
|
|
734 | 734 | return |
|
|
735 | 735 | |
|
|
736 | 736 | |
|
|
737 | 737 | def pushData(self): |
|
|
738 | 738 | """ |
|
|
739 | 739 | Return the sum of the last profiles and the profiles used in the sum. |
|
|
740 | 740 | |
|
|
741 | 741 | Affected: |
|
|
742 | 742 | |
|
|
743 | 743 | self.__profileIndex |
|
|
744 | 744 | |
|
|
745 | 745 | """ |
|
|
746 | 746 | |
|
|
747 | 747 | if not self.__withOverapping: |
|
|
748 | 748 | data = self.__buffer |
|
|
749 | 749 | n = self.__profIndex |
|
|
750 | 750 | |
|
|
751 | 751 | self.__buffer = 0 |
|
|
752 | 752 | self.__profIndex = 0 |
|
|
753 | 753 | |
|
|
754 | 754 | return data, n |
|
|
755 | 755 | |
|
|
756 | 756 | #Integration with Overlapping |
|
|
757 | 757 | data = numpy.sum(self.__buffer, axis=0) |
|
|
758 | 758 | n = self.__profIndex |
|
|
759 | 759 | |
|
|
760 | 760 | return data, n |
|
|
761 | 761 | |
|
|
762 | 762 | def byProfiles(self, data): |
|
|
763 | 763 | |
|
|
764 | 764 | self.__dataReady = False |
|
|
765 | 765 | avgdata = None |
|
|
766 | 766 | n = None |
|
|
767 | 767 | |
|
|
768 | 768 | self.putData(data) |
|
|
769 | 769 | |
|
|
770 | 770 | if self.__profIndex == self.n: |
|
|
771 | 771 | |
|
|
772 | 772 | avgdata, n = self.pushData() |
|
|
773 | 773 | self.__dataReady = True |
|
|
774 | 774 | |
|
|
775 | 775 | return avgdata |
|
|
776 | 776 | |
|
|
777 | 777 | def byTime(self, data, datatime): |
|
|
778 | 778 | |
|
|
779 | 779 | self.__dataReady = False |
|
|
780 | 780 | avgdata = None |
|
|
781 | 781 | n = None |
|
|
782 | 782 | |
|
|
783 | 783 | self.putData(data) |
|
|
784 | 784 | |
|
|
785 | 785 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|
786 | 786 | avgdata, n = self.pushData() |
|
|
787 | 787 | self.n = n |
|
|
788 | 788 | self.__dataReady = True |
|
|
789 | 789 | |
|
|
790 | 790 | return avgdata |
|
|
791 | 791 | |
|
|
792 | 792 | def integrate(self, data, datatime=None): |
|
|
793 | 793 | |
|
|
794 | 794 | if self.__initime == None: |
|
|
795 | 795 | self.__initime = datatime |
|
|
796 | 796 | |
|
|
797 | 797 | if self.__byTime: |
|
|
798 | 798 | avgdata = self.byTime(data, datatime) |
|
|
799 | 799 | else: |
|
|
800 | 800 | avgdata = self.byProfiles(data) |
|
|
801 | 801 | |
|
|
802 | 802 | |
|
|
803 | 803 | self.__lastdatatime = datatime |
|
|
804 | 804 | |
|
|
805 | 805 | if avgdata == None: |
|
|
806 | 806 | return None, None |
|
|
807 | 807 | |
|
|
808 | 808 | avgdatatime = self.__initime |
|
|
809 | 809 | |
|
|
810 | 810 | deltatime = datatime -self.__lastdatatime |
|
|
811 | 811 | |
|
|
812 | 812 | if not self.__withOverapping: |
|
|
813 | 813 | self.__initime = datatime |
|
|
814 | 814 | else: |
|
|
815 | 815 | self.__initime += deltatime |
|
|
816 | 816 | |
|
|
817 | 817 | return avgdata, avgdatatime |
|
|
818 | 818 | |
|
|
819 | 819 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False): |
|
|
820 | 820 | |
|
|
821 | 821 | if not self.__isConfig: |
|
|
822 | 822 | self.setup(n, timeInterval, overlapping) |
|
|
823 | 823 | self.__isConfig = True |
|
|
824 | 824 | |
|
|
825 | 825 | avgdata, avgdatatime = self.integrate(dataOut.data_spc, dataOut.utctime) |
|
|
826 | 826 | |
|
|
827 | 827 | # dataOut.timeInterval *= n |
|
|
828 | 828 | dataOut.flagNoData = True |
|
|
829 | 829 | |
|
|
830 | 830 | if self.__dataReady: |
|
|
831 | 831 | dataOut.data_spc = avgdata |
|
|
832 | 832 | dataOut.nIncohInt *= self.n |
|
|
833 | 833 | dataOut.utctime = avgdatatime |
|
|
834 | 834 | dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt * dataOut.nIncohInt * dataOut.nFFTPoints |
|
|
835 | 835 | dataOut.flagNoData = False |
|
|
836 | 836 | No newline at end of file |
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