| @@ -1,1320 +1,1318 | |||
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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 | |
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6 | 6 | import sys |
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7 | 7 | import ast |
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8 | 8 | import datetime |
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9 | 9 | import traceback |
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10 | import math | |
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10 | 11 | from multiprocessing import Process, Queue, cpu_count |
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11 | 12 | |
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12 | 13 | import schainpy |
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13 | 14 | import schainpy.admin |
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14 | 15 | |
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15 | 16 | from xml.etree.ElementTree import ElementTree, Element, SubElement, tostring |
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16 | 17 | from xml.dom import minidom |
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17 | 18 | |
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18 | 19 | from schainpy.model import * |
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19 | 20 | from time import sleep |
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20 | 21 | |
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21 | 22 | def prettify(elem): |
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22 | 23 | """Return a pretty-printed XML string for the Element. |
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23 | 24 | """ |
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24 | 25 | rough_string = tostring(elem, 'utf-8') |
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25 | 26 | reparsed = minidom.parseString(rough_string) |
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26 | 27 | return reparsed.toprettyxml(indent=" ") |
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27 | 28 | |
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28 | def multiSchain(child, nProcess=cpu_count(), startDate=None, endDate=None): | |
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29 | def multiSchain(child, nProcess=cpu_count(), startDate=None, endDate=None, receiver=None): | |
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29 | 30 | skip = 0 |
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30 | 31 | cursor = 0 |
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31 | 32 | nFiles = None |
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32 | 33 | processes = [] |
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33 | 34 | |
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34 | 35 | dt1 = datetime.datetime.strptime(startDate, '%Y/%m/%d') |
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35 | 36 | dt2 = datetime.datetime.strptime(endDate, '%Y/%m/%d') |
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36 | 37 | days = (dt2 - dt1).days |
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37 | 38 | print days |
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38 | 39 | for day in range(days+1): |
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39 | 40 | skip = 0 |
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40 | 41 | cursor = 0 |
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41 | 42 | q = Queue() |
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42 | 43 | processes = [] |
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43 | 44 | dt = (dt1 + datetime.timedelta(day)).strftime('%Y/%m/%d') |
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44 | 45 | firstProcess = Process(target=child, args=(cursor, skip, q, dt)) |
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45 | 46 | firstProcess.start() |
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46 | print 'a' | |
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47 | 47 | nFiles = q.get() |
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48 | ||
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49 | print nFiles | |
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50 | 48 | firstProcess.terminate() |
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51 | 49 | skip = int(math.ceil(nFiles/nProcess)) |
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52 | 50 | try: |
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53 | 51 | while True: |
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54 | 52 | processes.append(Process(target=child, args=(cursor, skip, q, dt))) |
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55 | 53 | processes[cursor].start() |
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56 | 54 | if nFiles < cursor*skip: |
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57 | 55 | break |
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58 | 56 | cursor += 1 |
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59 | 57 | except KeyboardInterrupt: |
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60 | 58 | for process in processes: |
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61 | 59 | process.terminate() |
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62 | 60 | process.join() |
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63 | 61 | for process in processes: |
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64 | 62 | process.join() |
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65 | #process.terminate() | |
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63 | # process.terminate() | |
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66 | 64 | sleep(3) |
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67 | 65 | |
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68 | 66 | try: |
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69 | 67 | while True: |
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70 | 68 | pass |
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71 | 69 | except KeyboardInterrupt: |
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72 | 70 | for process in processes: |
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73 | 71 | process.terminate() |
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74 | 72 | process.join() |
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75 | 73 | |
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76 | 74 | class ParameterConf(): |
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77 | 75 | |
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78 | 76 | id = None |
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79 | 77 | name = None |
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80 | 78 | value = None |
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81 | 79 | format = None |
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82 | 80 | |
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83 | 81 | __formated_value = None |
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84 | 82 | |
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85 | 83 | ELEMENTNAME = 'Parameter' |
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86 | 84 | |
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87 | 85 | def __init__(self): |
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88 | 86 | |
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89 | 87 | self.format = 'str' |
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90 | 88 | |
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91 | 89 | def getElementName(self): |
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92 | 90 | |
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93 | 91 | return self.ELEMENTNAME |
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94 | 92 | |
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95 | 93 | def getValue(self): |
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96 | 94 | |
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97 | 95 | value = self.value |
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98 | 96 | format = self.format |
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99 | 97 | |
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100 | 98 | if self.__formated_value != None: |
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101 | 99 | |
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102 | 100 | return self.__formated_value |
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103 | 101 | |
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104 | 102 | if format == 'obj': |
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105 | 103 | return value |
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106 | 104 | |
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107 | 105 | if format == 'str': |
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108 | 106 | self.__formated_value = str(value) |
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109 | 107 | return self.__formated_value |
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110 | 108 | |
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111 | 109 | if value == '': |
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112 | 110 | raise ValueError, "%s: This parameter value is empty" %self.name |
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113 | 111 | |
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114 | 112 | if format == 'list': |
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115 | 113 | strList = value.split(',') |
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116 | 114 | |
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117 | 115 | self.__formated_value = strList |
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118 | 116 | |
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119 | 117 | return self.__formated_value |
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120 | 118 | |
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121 | 119 | if format == 'intlist': |
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122 | 120 | """ |
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123 | 121 | Example: |
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124 | 122 | value = (0,1,2) |
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125 | 123 | """ |
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126 | 124 | |
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127 | 125 | new_value = ast.literal_eval(value) |
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128 | 126 | |
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129 | 127 | if type(new_value) not in (tuple, list): |
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130 | 128 | new_value = [int(new_value)] |
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131 | 129 | |
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132 | 130 | self.__formated_value = new_value |
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133 | 131 | |
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134 | 132 | return self.__formated_value |
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135 | 133 | |
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136 | 134 | if format == 'floatlist': |
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137 | 135 | """ |
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138 | 136 | Example: |
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139 | 137 | value = (0.5, 1.4, 2.7) |
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140 | 138 | """ |
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141 | 139 | |
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142 | 140 | new_value = ast.literal_eval(value) |
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143 | 141 | |
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144 | 142 | if type(new_value) not in (tuple, list): |
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145 | 143 | new_value = [float(new_value)] |
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146 | 144 | |
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147 | 145 | self.__formated_value = new_value |
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148 | 146 | |
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149 | 147 | return self.__formated_value |
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150 | 148 | |
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151 | 149 | if format == 'date': |
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152 | 150 | strList = value.split('/') |
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153 | 151 | intList = [int(x) for x in strList] |
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154 | 152 | date = datetime.date(intList[0], intList[1], intList[2]) |
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155 | 153 | |
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156 | 154 | self.__formated_value = date |
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157 | 155 | |
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158 | 156 | return self.__formated_value |
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159 | 157 | |
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160 | 158 | if format == 'time': |
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161 | 159 | strList = value.split(':') |
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162 | 160 | intList = [int(x) for x in strList] |
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163 | 161 | time = datetime.time(intList[0], intList[1], intList[2]) |
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164 | 162 | |
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165 | 163 | self.__formated_value = time |
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166 | 164 | |
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167 | 165 | return self.__formated_value |
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168 | 166 | |
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169 | 167 | if format == 'pairslist': |
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170 | 168 | """ |
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171 | 169 | Example: |
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172 | 170 | value = (0,1),(1,2) |
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173 | 171 | """ |
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174 | 172 | |
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175 | 173 | new_value = ast.literal_eval(value) |
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176 | 174 | |
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177 | 175 | if type(new_value) not in (tuple, list): |
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178 | 176 | raise ValueError, "%s has to be a tuple or list of pairs" %value |
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179 | 177 | |
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180 | 178 | if type(new_value[0]) not in (tuple, list): |
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181 | 179 | if len(new_value) != 2: |
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182 | 180 | raise ValueError, "%s has to be a tuple or list of pairs" %value |
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183 | 181 | new_value = [new_value] |
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184 | 182 | |
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185 | 183 | for thisPair in new_value: |
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186 | 184 | if len(thisPair) != 2: |
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187 | 185 | raise ValueError, "%s has to be a tuple or list of pairs" %value |
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188 | 186 | |
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189 | 187 | self.__formated_value = new_value |
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190 | 188 | |
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191 | 189 | return self.__formated_value |
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192 | 190 | |
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193 | 191 | if format == 'multilist': |
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194 | 192 | """ |
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195 | 193 | Example: |
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196 | 194 | value = (0,1,2),(3,4,5) |
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197 | 195 | """ |
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198 | 196 | multiList = ast.literal_eval(value) |
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199 | 197 | |
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200 | 198 | if type(multiList[0]) == int: |
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201 | 199 | multiList = ast.literal_eval("(" + value + ")") |
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202 | 200 | |
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203 | 201 | self.__formated_value = multiList |
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204 | 202 | |
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205 | 203 | return self.__formated_value |
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206 | 204 | |
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207 | 205 | if format == 'bool': |
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208 | 206 | value = int(value) |
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209 | 207 | |
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210 | 208 | if format == 'int': |
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211 | 209 | value = float(value) |
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212 | 210 | |
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213 | 211 | format_func = eval(format) |
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214 | 212 | |
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215 | 213 | self.__formated_value = format_func(value) |
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216 | 214 | |
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217 | 215 | return self.__formated_value |
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218 | 216 | |
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219 | 217 | def updateId(self, new_id): |
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220 | 218 | |
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221 | 219 | self.id = str(new_id) |
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222 | 220 | |
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223 | 221 | def setup(self, id, name, value, format='str'): |
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224 | 222 | |
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225 | 223 | self.id = str(id) |
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226 | 224 | self.name = name |
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227 | 225 | if format == 'obj': |
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228 | 226 | self.value = value |
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229 | 227 | else: |
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230 | 228 | self.value = str(value) |
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231 | 229 | self.format = str.lower(format) |
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232 | 230 | |
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233 | 231 | self.getValue() |
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234 | 232 | |
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235 | 233 | return 1 |
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236 | 234 | |
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237 | 235 | def update(self, name, value, format='str'): |
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238 | 236 | |
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239 | 237 | self.name = name |
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240 | 238 | self.value = str(value) |
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241 | 239 | self.format = format |
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242 | 240 | |
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243 | 241 | def makeXml(self, opElement): |
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244 | ||
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245 | parmElement = SubElement(opElement, self.ELEMENTNAME) | |
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246 | parmElement.set('id', str(self.id)) | |
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247 | parmElement.set('name', self.name) | |
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248 | parmElement.set('value', self.value) | |
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249 | parmElement.set('format', self.format) | |
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242 | if self.name not in ('queue',): | |
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243 | parmElement = SubElement(opElement, self.ELEMENTNAME) | |
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244 | parmElement.set('id', str(self.id)) | |
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245 | parmElement.set('name', self.name) | |
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246 | parmElement.set('value', self.value) | |
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247 | parmElement.set('format', self.format) | |
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250 | 248 | |
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251 | 249 | def readXml(self, parmElement): |
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252 | 250 | |
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253 | 251 | self.id = parmElement.get('id') |
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254 | 252 | self.name = parmElement.get('name') |
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255 | 253 | self.value = parmElement.get('value') |
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256 | 254 | self.format = str.lower(parmElement.get('format')) |
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257 | 255 | |
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258 | 256 | #Compatible with old signal chain version |
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259 | 257 | if self.format == 'int' and self.name == 'idfigure': |
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260 | 258 | self.name = 'id' |
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261 | 259 | |
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262 | 260 | def printattr(self): |
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263 | 261 | |
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264 | 262 | print "Parameter[%s]: name = %s, value = %s, format = %s" %(self.id, self.name, self.value, self.format) |
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265 | 263 | |
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266 | 264 | class OperationConf(): |
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267 | 265 | |
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268 | 266 | id = None |
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269 | 267 | name = None |
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270 | 268 | priority = None |
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271 | 269 | type = None |
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272 | 270 | |
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273 | 271 | parmConfObjList = [] |
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274 | 272 | |
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275 | 273 | ELEMENTNAME = 'Operation' |
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276 | 274 | |
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277 | 275 | def __init__(self): |
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278 | 276 | |
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279 | 277 | self.id = '0' |
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280 | 278 | self.name = None |
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281 | 279 | self.priority = None |
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282 | 280 | self.type = 'self' |
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283 | 281 | |
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284 | 282 | |
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285 | 283 | def __getNewId(self): |
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286 | 284 | |
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287 | 285 | return int(self.id)*10 + len(self.parmConfObjList) + 1 |
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288 | 286 | |
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289 | 287 | def updateId(self, new_id): |
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290 | 288 | |
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291 | 289 | self.id = str(new_id) |
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292 | 290 | |
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293 | 291 | n = 1 |
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294 | 292 | for parmObj in self.parmConfObjList: |
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295 | 293 | |
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296 | 294 | idParm = str(int(new_id)*10 + n) |
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297 | 295 | parmObj.updateId(idParm) |
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298 | 296 | |
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299 | 297 | n += 1 |
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300 | 298 | |
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301 | 299 | def getElementName(self): |
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302 | 300 | |
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303 | 301 | return self.ELEMENTNAME |
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304 | 302 | |
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305 | 303 | def getParameterObjList(self): |
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306 | 304 | |
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307 | 305 | return self.parmConfObjList |
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308 | 306 | |
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309 | 307 | def getParameterObj(self, parameterName): |
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310 | 308 | |
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311 | 309 | for parmConfObj in self.parmConfObjList: |
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312 | 310 | |
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313 | 311 | if parmConfObj.name != parameterName: |
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314 | 312 | continue |
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315 | 313 | |
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316 | 314 | return parmConfObj |
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317 | 315 | |
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318 | 316 | return None |
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319 | 317 | |
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320 | 318 | def getParameterObjfromValue(self, parameterValue): |
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321 | 319 | |
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322 | 320 | for parmConfObj in self.parmConfObjList: |
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323 | 321 | |
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324 | 322 | if parmConfObj.getValue() != parameterValue: |
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325 | 323 | continue |
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326 | 324 | |
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327 | 325 | return parmConfObj.getValue() |
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328 | 326 | |
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329 | 327 | return None |
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330 | 328 | |
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331 | 329 | def getParameterValue(self, parameterName): |
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332 | 330 | |
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333 | 331 | parameterObj = self.getParameterObj(parameterName) |
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334 | 332 | |
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335 | 333 | # if not parameterObj: |
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336 | 334 | # return None |
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337 | 335 | |
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338 | 336 | value = parameterObj.getValue() |
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339 | 337 | |
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340 | 338 | return value |
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341 | 339 | |
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342 | 340 | |
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343 | 341 | def getKwargs(self): |
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344 | 342 | |
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345 | 343 | kwargs = {} |
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346 | 344 | |
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347 | 345 | for parmConfObj in self.parmConfObjList: |
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348 | 346 | if self.name == 'run' and parmConfObj.name == 'datatype': |
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349 | 347 | continue |
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350 | 348 | |
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351 | 349 | kwargs[parmConfObj.name] = parmConfObj.getValue() |
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352 | 350 | |
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353 | 351 | return kwargs |
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354 | 352 | |
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355 | 353 | def setup(self, id, name, priority, type): |
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356 | 354 | |
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357 | 355 | self.id = str(id) |
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358 | 356 | self.name = name |
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359 | 357 | self.type = type |
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360 | 358 | self.priority = priority |
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361 | 359 | |
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362 | 360 | self.parmConfObjList = [] |
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363 | 361 | |
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364 | 362 | def removeParameters(self): |
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365 | 363 | |
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366 | 364 | for obj in self.parmConfObjList: |
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367 | 365 | del obj |
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368 | 366 | |
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369 | 367 | self.parmConfObjList = [] |
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370 | 368 | |
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371 | 369 | def addParameter(self, name, value, format='str'): |
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372 | 370 | |
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373 | 371 | id = self.__getNewId() |
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374 | 372 | |
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375 | 373 | parmConfObj = ParameterConf() |
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376 | 374 | if not parmConfObj.setup(id, name, value, format): |
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377 | 375 | return None |
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378 | 376 | |
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379 | 377 | self.parmConfObjList.append(parmConfObj) |
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380 | 378 | |
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381 | 379 | return parmConfObj |
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382 | 380 | |
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383 | 381 | def changeParameter(self, name, value, format='str'): |
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384 | 382 | |
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385 | 383 | parmConfObj = self.getParameterObj(name) |
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386 | 384 | parmConfObj.update(name, value, format) |
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387 | 385 | |
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388 | 386 | return parmConfObj |
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389 | 387 | |
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390 | 388 | def makeXml(self, procUnitElement): |
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391 | 389 | |
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392 | 390 | opElement = SubElement(procUnitElement, self.ELEMENTNAME) |
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393 | 391 | opElement.set('id', str(self.id)) |
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394 | 392 | opElement.set('name', self.name) |
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395 | 393 | opElement.set('type', self.type) |
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396 | 394 | opElement.set('priority', str(self.priority)) |
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397 | 395 | |
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398 | 396 | for parmConfObj in self.parmConfObjList: |
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399 | 397 | parmConfObj.makeXml(opElement) |
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400 | 398 | |
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401 | 399 | def readXml(self, opElement): |
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402 | 400 | |
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403 | 401 | self.id = opElement.get('id') |
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404 | 402 | self.name = opElement.get('name') |
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405 | 403 | self.type = opElement.get('type') |
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406 | 404 | self.priority = opElement.get('priority') |
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407 | 405 | |
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408 | 406 | #Compatible with old signal chain version |
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409 | 407 | #Use of 'run' method instead 'init' |
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410 | 408 | if self.type == 'self' and self.name == 'init': |
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411 | 409 | self.name = 'run' |
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412 | 410 | |
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413 | 411 | self.parmConfObjList = [] |
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414 | 412 | |
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415 | 413 | parmElementList = opElement.iter(ParameterConf().getElementName()) |
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416 | 414 | |
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417 | 415 | for parmElement in parmElementList: |
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418 | 416 | parmConfObj = ParameterConf() |
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419 | 417 | parmConfObj.readXml(parmElement) |
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420 | 418 | |
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421 | 419 | #Compatible with old signal chain version |
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422 | 420 | #If an 'plot' OPERATION is found, changes name operation by the value of its type PARAMETER |
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423 | 421 | if self.type != 'self' and self.name == 'Plot': |
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424 | 422 | if parmConfObj.format == 'str' and parmConfObj.name == 'type': |
|
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425 | 423 | self.name = parmConfObj.value |
|
|
426 | 424 | continue |
|
|
427 | 425 | |
|
|
428 | 426 | self.parmConfObjList.append(parmConfObj) |
|
|
429 | 427 | |
|
|
430 | 428 | def printattr(self): |
|
|
431 | 429 | |
|
|
432 | 430 | print "%s[%s]: name = %s, type = %s, priority = %s" %(self.ELEMENTNAME, |
|
|
433 | 431 | self.id, |
|
|
434 | 432 | self.name, |
|
|
435 | 433 | self.type, |
|
|
436 | 434 | self.priority) |
|
|
437 | 435 | |
|
|
438 | 436 | for parmConfObj in self.parmConfObjList: |
|
|
439 | 437 | parmConfObj.printattr() |
|
|
440 | 438 | |
|
|
441 | 439 | def createObject(self, plotter_queue=None): |
|
|
442 | 440 | |
|
|
443 | 441 | if self.type == 'self': |
|
|
444 | 442 | raise ValueError, "This operation type cannot be created" |
|
|
445 | 443 | |
|
|
446 | 444 | if self.type == 'plotter': |
|
|
447 | 445 | #Plotter(plotter_name) |
|
|
448 | 446 | if not plotter_queue: |
|
|
449 | 447 | raise ValueError, "plotter_queue is not defined. Use:\nmyProject = Project()\nmyProject.setPlotterQueue(plotter_queue)" |
|
|
450 | 448 | |
|
|
451 | 449 | opObj = Plotter(self.name, plotter_queue) |
|
|
452 | 450 | |
|
|
453 | 451 | if self.type == 'external' or self.type == 'other': |
|
|
454 | 452 | print self.name |
|
|
455 | 453 | className = eval(self.name) |
|
|
456 | 454 | kwargs = self.getKwargs() |
|
|
457 | 455 | print kwargs |
|
|
458 | 456 | opObj = className(**kwargs) |
|
|
459 | 457 | |
|
|
460 | 458 | return opObj |
|
|
461 | 459 | |
|
|
462 | 460 | |
|
|
463 | 461 | class ProcUnitConf(): |
|
|
464 | 462 | |
|
|
465 | 463 | id = None |
|
|
466 | 464 | name = None |
|
|
467 | 465 | datatype = None |
|
|
468 | 466 | inputId = None |
|
|
469 | 467 | parentId = None |
|
|
470 | 468 | |
|
|
471 | 469 | opConfObjList = [] |
|
|
472 | 470 | |
|
|
473 | 471 | procUnitObj = None |
|
|
474 | 472 | opObjList = [] |
|
|
475 | 473 | |
|
|
476 | 474 | ELEMENTNAME = 'ProcUnit' |
|
|
477 | 475 | |
|
|
478 | 476 | def __init__(self): |
|
|
479 | 477 | |
|
|
480 | 478 | self.id = None |
|
|
481 | 479 | self.datatype = None |
|
|
482 | 480 | self.name = None |
|
|
483 | 481 | self.inputId = None |
|
|
484 | 482 | |
|
|
485 | 483 | self.opConfObjList = [] |
|
|
486 | 484 | |
|
|
487 | 485 | self.procUnitObj = None |
|
|
488 | 486 | self.opObjDict = {} |
|
|
489 | 487 | |
|
|
490 | 488 | def __getPriority(self): |
|
|
491 | 489 | |
|
|
492 | 490 | return len(self.opConfObjList)+1 |
|
|
493 | 491 | |
|
|
494 | 492 | def __getNewId(self): |
|
|
495 | 493 | |
|
|
496 | 494 | return int(self.id)*10 + len(self.opConfObjList) + 1 |
|
|
497 | 495 | |
|
|
498 | 496 | def getElementName(self): |
|
|
499 | 497 | |
|
|
500 | 498 | return self.ELEMENTNAME |
|
|
501 | 499 | |
|
|
502 | 500 | def getId(self): |
|
|
503 | 501 | |
|
|
504 | 502 | return self.id |
|
|
505 | 503 | |
|
|
506 | 504 | def updateId(self, new_id, parentId=parentId): |
|
|
507 | 505 | |
|
|
508 | 506 | |
|
|
509 | 507 | new_id = int(parentId)*10 + (int(self.id) % 10) |
|
|
510 | 508 | new_inputId = int(parentId)*10 + (int(self.inputId) % 10) |
|
|
511 | 509 | |
|
|
512 | 510 | #If this proc unit has not inputs |
|
|
513 | 511 | if self.inputId == '0': |
|
|
514 | 512 | new_inputId = 0 |
|
|
515 | 513 | |
|
|
516 | 514 | n = 1 |
|
|
517 | 515 | for opConfObj in self.opConfObjList: |
|
|
518 | 516 | |
|
|
519 | 517 | idOp = str(int(new_id)*10 + n) |
|
|
520 | 518 | opConfObj.updateId(idOp) |
|
|
521 | 519 | |
|
|
522 | 520 | n += 1 |
|
|
523 | 521 | |
|
|
524 | 522 | self.parentId = str(parentId) |
|
|
525 | 523 | self.id = str(new_id) |
|
|
526 | 524 | self.inputId = str(new_inputId) |
|
|
527 | 525 | |
|
|
528 | 526 | |
|
|
529 | 527 | def getInputId(self): |
|
|
530 | 528 | |
|
|
531 | 529 | return self.inputId |
|
|
532 | 530 | |
|
|
533 | 531 | def getOperationObjList(self): |
|
|
534 | 532 | |
|
|
535 | 533 | return self.opConfObjList |
|
|
536 | 534 | |
|
|
537 | 535 | def getOperationObj(self, name=None): |
|
|
538 | 536 | |
|
|
539 | 537 | for opConfObj in self.opConfObjList: |
|
|
540 | 538 | |
|
|
541 | 539 | if opConfObj.name != name: |
|
|
542 | 540 | continue |
|
|
543 | 541 | |
|
|
544 | 542 | return opConfObj |
|
|
545 | 543 | |
|
|
546 | 544 | return None |
|
|
547 | 545 | |
|
|
548 | 546 | def getOpObjfromParamValue(self, value=None): |
|
|
549 | 547 | |
|
|
550 | 548 | for opConfObj in self.opConfObjList: |
|
|
551 | 549 | if opConfObj.getParameterObjfromValue(parameterValue=value) != value: |
|
|
552 | 550 | continue |
|
|
553 | 551 | return opConfObj |
|
|
554 | 552 | return None |
|
|
555 | 553 | |
|
|
556 | 554 | def getProcUnitObj(self): |
|
|
557 | 555 | |
|
|
558 | 556 | return self.procUnitObj |
|
|
559 | 557 | |
|
|
560 | 558 | def setup(self, id, name, datatype, inputId, parentId=None): |
|
|
561 | 559 | |
|
|
562 | 560 | #Compatible with old signal chain version |
|
|
563 | 561 | if datatype==None and name==None: |
|
|
564 | 562 | raise ValueError, "datatype or name should be defined" |
|
|
565 | 563 | |
|
|
566 | 564 | if name==None: |
|
|
567 | 565 | if 'Proc' in datatype: |
|
|
568 | 566 | name = datatype |
|
|
569 | 567 | else: |
|
|
570 | 568 | name = '%sProc' %(datatype) |
|
|
571 | 569 | |
|
|
572 | 570 | if datatype==None: |
|
|
573 | 571 | datatype = name.replace('Proc','') |
|
|
574 | 572 | |
|
|
575 | 573 | self.id = str(id) |
|
|
576 | 574 | self.name = name |
|
|
577 | 575 | self.datatype = datatype |
|
|
578 | 576 | self.inputId = inputId |
|
|
579 | 577 | self.parentId = parentId |
|
|
580 | 578 | |
|
|
581 | 579 | self.opConfObjList = [] |
|
|
582 | 580 | |
|
|
583 | 581 | self.addOperation(name='run', optype='self') |
|
|
584 | 582 | |
|
|
585 | 583 | def removeOperations(self): |
|
|
586 | 584 | |
|
|
587 | 585 | for obj in self.opConfObjList: |
|
|
588 | 586 | del obj |
|
|
589 | 587 | |
|
|
590 | 588 | self.opConfObjList = [] |
|
|
591 | 589 | self.addOperation(name='run') |
|
|
592 | 590 | |
|
|
593 | 591 | def addParameter(self, **kwargs): |
|
|
594 | 592 | ''' |
|
|
595 | 593 | Add parameters to "run" operation |
|
|
596 | 594 | ''' |
|
|
597 | 595 | opObj = self.opConfObjList[0] |
|
|
598 | 596 | |
|
|
599 | 597 | opObj.addParameter(**kwargs) |
|
|
600 | 598 | |
|
|
601 | 599 | return opObj |
|
|
602 | 600 | |
|
|
603 | 601 | def addOperation(self, name, optype='self'): |
|
|
604 | 602 | |
|
|
605 | 603 | id = self.__getNewId() |
|
|
606 | 604 | priority = self.__getPriority() |
|
|
607 | 605 | |
|
|
608 | 606 | opConfObj = OperationConf() |
|
|
609 | 607 | opConfObj.setup(id, name=name, priority=priority, type=optype) |
|
|
610 | 608 | |
|
|
611 | 609 | self.opConfObjList.append(opConfObj) |
|
|
612 | 610 | |
|
|
613 | 611 | return opConfObj |
|
|
614 | 612 | |
|
|
615 | 613 | def makeXml(self, projectElement): |
|
|
616 | 614 | |
|
|
617 | 615 | procUnitElement = SubElement(projectElement, self.ELEMENTNAME) |
|
|
618 | 616 | procUnitElement.set('id', str(self.id)) |
|
|
619 | 617 | procUnitElement.set('name', self.name) |
|
|
620 | 618 | procUnitElement.set('datatype', self.datatype) |
|
|
621 | 619 | procUnitElement.set('inputId', str(self.inputId)) |
|
|
622 | 620 | |
|
|
623 | 621 | for opConfObj in self.opConfObjList: |
|
|
624 | 622 | opConfObj.makeXml(procUnitElement) |
|
|
625 | 623 | |
|
|
626 | 624 | def readXml(self, upElement): |
|
|
627 | 625 | |
|
|
628 | 626 | self.id = upElement.get('id') |
|
|
629 | 627 | self.name = upElement.get('name') |
|
|
630 | 628 | self.datatype = upElement.get('datatype') |
|
|
631 | 629 | self.inputId = upElement.get('inputId') |
|
|
632 | 630 | |
|
|
633 | 631 | if self.ELEMENTNAME == "ReadUnit": |
|
|
634 | 632 | self.datatype = self.datatype.replace("Reader", "") |
|
|
635 | 633 | |
|
|
636 | 634 | if self.ELEMENTNAME == "ProcUnit": |
|
|
637 | 635 | self.datatype = self.datatype.replace("Proc", "") |
|
|
638 | 636 | |
|
|
639 | 637 | if self.inputId == 'None': |
|
|
640 | 638 | self.inputId = '0' |
|
|
641 | 639 | |
|
|
642 | 640 | self.opConfObjList = [] |
|
|
643 | 641 | |
|
|
644 | 642 | opElementList = upElement.iter(OperationConf().getElementName()) |
|
|
645 | 643 | |
|
|
646 | 644 | for opElement in opElementList: |
|
|
647 | 645 | opConfObj = OperationConf() |
|
|
648 | 646 | opConfObj.readXml(opElement) |
|
|
649 | 647 | self.opConfObjList.append(opConfObj) |
|
|
650 | 648 | |
|
|
651 | 649 | def printattr(self): |
|
|
652 | 650 | |
|
|
653 | 651 | print "%s[%s]: name = %s, datatype = %s, inputId = %s" %(self.ELEMENTNAME, |
|
|
654 | 652 | self.id, |
|
|
655 | 653 | self.name, |
|
|
656 | 654 | self.datatype, |
|
|
657 | 655 | self.inputId) |
|
|
658 | 656 | |
|
|
659 | 657 | for opConfObj in self.opConfObjList: |
|
|
660 | 658 | opConfObj.printattr() |
|
|
661 | 659 | |
|
|
662 | 660 | |
|
|
663 | 661 | def getKwargs(self): |
|
|
664 | 662 | |
|
|
665 | 663 | opObj = self.opConfObjList[0] |
|
|
666 | 664 | kwargs = opObj.getKwargs() |
|
|
667 | 665 | |
|
|
668 | 666 | return kwargs |
|
|
669 | 667 | |
|
|
670 | 668 | def createObjects(self, plotter_queue=None): |
|
|
671 | 669 | |
|
|
672 | 670 | className = eval(self.name) |
|
|
673 | 671 | kwargs = self.getKwargs() |
|
|
674 | 672 | procUnitObj = className(**kwargs) |
|
|
675 | 673 | |
|
|
676 | 674 | for opConfObj in self.opConfObjList: |
|
|
677 | 675 | |
|
|
678 | 676 | if opConfObj.type == 'self': |
|
|
679 | 677 | continue |
|
|
680 | 678 | |
|
|
681 | 679 | opObj = opConfObj.createObject(plotter_queue) |
|
|
682 | 680 | |
|
|
683 | 681 | self.opObjDict[opConfObj.id] = opObj |
|
|
684 | 682 | procUnitObj.addOperation(opObj, opConfObj.id) |
|
|
685 | 683 | |
|
|
686 | 684 | self.procUnitObj = procUnitObj |
|
|
687 | 685 | |
|
|
688 | 686 | return procUnitObj |
|
|
689 | 687 | |
|
|
690 | 688 | def run(self): |
|
|
691 | 689 | |
|
|
692 | 690 | is_ok = False |
|
|
693 | 691 | |
|
|
694 | 692 | for opConfObj in self.opConfObjList: |
|
|
695 | 693 | |
|
|
696 | 694 | kwargs = {} |
|
|
697 | 695 | for parmConfObj in opConfObj.getParameterObjList(): |
|
|
698 | 696 | if opConfObj.name == 'run' and parmConfObj.name == 'datatype': |
|
|
699 | 697 | continue |
|
|
700 | 698 | |
|
|
701 | 699 | kwargs[parmConfObj.name] = parmConfObj.getValue() |
|
|
702 | 700 | |
|
|
703 | 701 | #ini = time.time() |
|
|
704 | 702 | |
|
|
705 | 703 | #print "\tRunning the '%s' operation with %s" %(opConfObj.name, opConfObj.id) |
|
|
706 | 704 | sts = self.procUnitObj.call(opType = opConfObj.type, |
|
|
707 | 705 | opName = opConfObj.name, |
|
|
708 | 706 | opId = opConfObj.id, |
|
|
709 | 707 | ) |
|
|
710 | 708 | |
|
|
711 | 709 | # total_time = time.time() - ini |
|
|
712 | 710 | # |
|
|
713 | 711 | # if total_time > 0.002: |
|
|
714 | 712 | # print "%s::%s took %f seconds" %(self.name, opConfObj.name, total_time) |
|
|
715 | 713 | |
|
|
716 | 714 | is_ok = is_ok or sts |
|
|
717 | 715 | |
|
|
718 | 716 | return is_ok |
|
|
719 | 717 | |
|
|
720 | 718 | def close(self): |
|
|
721 | 719 | |
|
|
722 | 720 | for opConfObj in self.opConfObjList: |
|
|
723 | 721 | if opConfObj.type == 'self': |
|
|
724 | 722 | continue |
|
|
725 | 723 | |
|
|
726 | 724 | opObj = self.procUnitObj.getOperationObj(opConfObj.id) |
|
|
727 | 725 | opObj.close() |
|
|
728 | 726 | |
|
|
729 | 727 | self.procUnitObj.close() |
|
|
730 | 728 | |
|
|
731 | 729 | return |
|
|
732 | 730 | |
|
|
733 | 731 | class ReadUnitConf(ProcUnitConf): |
|
|
734 | 732 | |
|
|
735 | 733 | path = None |
|
|
736 | 734 | startDate = None |
|
|
737 | 735 | endDate = None |
|
|
738 | 736 | startTime = None |
|
|
739 | 737 | endTime = None |
|
|
740 | 738 | |
|
|
741 | 739 | ELEMENTNAME = 'ReadUnit' |
|
|
742 | 740 | |
|
|
743 | 741 | def __init__(self): |
|
|
744 | 742 | |
|
|
745 | 743 | self.id = None |
|
|
746 | 744 | self.datatype = None |
|
|
747 | 745 | self.name = None |
|
|
748 | 746 | self.inputId = None |
|
|
749 | 747 | |
|
|
750 | 748 | self.parentId = None |
|
|
751 | 749 | |
|
|
752 | 750 | self.opConfObjList = [] |
|
|
753 | 751 | self.opObjList = [] |
|
|
754 | 752 | |
|
|
755 | 753 | def getElementName(self): |
|
|
756 | 754 | |
|
|
757 | 755 | return self.ELEMENTNAME |
|
|
758 | 756 | |
|
|
759 | 757 | def setup(self, id, name, datatype, path, startDate="", endDate="", startTime="", endTime="", parentId=None, queue=None, **kwargs): |
|
|
760 | 758 | |
|
|
761 | 759 | #Compatible with old signal chain version |
|
|
762 | 760 | if datatype==None and name==None: |
|
|
763 | 761 | raise ValueError, "datatype or name should be defined" |
|
|
764 | 762 | |
|
|
765 | 763 | if name==None: |
|
|
766 | 764 | if 'Reader' in datatype: |
|
|
767 | 765 | name = datatype |
|
|
768 | 766 | else: |
|
|
769 | 767 | name = '%sReader' %(datatype) |
|
|
770 | 768 | |
|
|
771 | 769 | if datatype==None: |
|
|
772 | 770 | datatype = name.replace('Reader','') |
|
|
773 | 771 | |
|
|
774 | 772 | self.id = id |
|
|
775 | 773 | self.name = name |
|
|
776 | 774 | self.datatype = datatype |
|
|
777 | 775 | |
|
|
778 | 776 | self.path = os.path.abspath(path) |
|
|
779 | 777 | self.startDate = startDate |
|
|
780 | 778 | self.endDate = endDate |
|
|
781 | 779 | self.startTime = startTime |
|
|
782 | 780 | self.endTime = endTime |
|
|
783 | 781 | |
|
|
784 | 782 | self.inputId = '0' |
|
|
785 | 783 | self.parentId = parentId |
|
|
786 | 784 | self.queue = queue |
|
|
787 | 785 | self.addRunOperation(**kwargs) |
|
|
788 | 786 | |
|
|
789 | 787 | def update(self, datatype, path, startDate, endDate, startTime, endTime, parentId=None, name=None, **kwargs): |
|
|
790 | 788 | |
|
|
791 | 789 | #Compatible with old signal chain version |
|
|
792 | 790 | if datatype==None and name==None: |
|
|
793 | 791 | raise ValueError, "datatype or name should be defined" |
|
|
794 | 792 | |
|
|
795 | 793 | if name==None: |
|
|
796 | 794 | if 'Reader' in datatype: |
|
|
797 | 795 | name = datatype |
|
|
798 | 796 | else: |
|
|
799 | 797 | name = '%sReader' %(datatype) |
|
|
800 | 798 | |
|
|
801 | 799 | if datatype==None: |
|
|
802 | 800 | datatype = name.replace('Reader','') |
|
|
803 | 801 | |
|
|
804 | 802 | self.datatype = datatype |
|
|
805 | 803 | self.name = name |
|
|
806 | 804 | self.path = path |
|
|
807 | 805 | self.startDate = startDate |
|
|
808 | 806 | self.endDate = endDate |
|
|
809 | 807 | self.startTime = startTime |
|
|
810 | 808 | self.endTime = endTime |
|
|
811 | 809 | |
|
|
812 | 810 | self.inputId = '0' |
|
|
813 | 811 | self.parentId = parentId |
|
|
814 | 812 | |
|
|
815 | 813 | self.updateRunOperation(**kwargs) |
|
|
816 | 814 | |
|
|
817 | 815 | def removeOperations(self): |
|
|
818 | 816 | |
|
|
819 | 817 | for obj in self.opConfObjList: |
|
|
820 | 818 | del obj |
|
|
821 | 819 | |
|
|
822 | 820 | self.opConfObjList = [] |
|
|
823 | 821 | |
|
|
824 | 822 | def addRunOperation(self, **kwargs): |
|
|
825 | 823 | |
|
|
826 | 824 | opObj = self.addOperation(name = 'run', optype = 'self') |
|
|
827 | 825 | |
|
|
828 | 826 | opObj.addParameter(name='datatype' , value=self.datatype, format='str') |
|
|
829 | 827 | opObj.addParameter(name='path' , value=self.path, format='str') |
|
|
830 | 828 | opObj.addParameter(name='startDate' , value=self.startDate, format='date') |
|
|
831 | 829 | opObj.addParameter(name='endDate' , value=self.endDate, format='date') |
|
|
832 | 830 | opObj.addParameter(name='startTime' , value=self.startTime, format='time') |
|
|
833 | 831 | opObj.addParameter(name='endTime' , value=self.endTime, format='time') |
|
|
834 | 832 | opObj.addParameter(name='queue' , value=self.queue, format='obj') |
|
|
835 | 833 | |
|
|
836 | 834 | for key, value in kwargs.items(): |
|
|
837 | 835 | opObj.addParameter(name=key, value=value, format=type(value).__name__) |
|
|
838 | 836 | |
|
|
839 | 837 | return opObj |
|
|
840 | 838 | |
|
|
841 | 839 | def updateRunOperation(self, **kwargs): |
|
|
842 | 840 | |
|
|
843 | 841 | opObj = self.getOperationObj(name = 'run') |
|
|
844 | 842 | opObj.removeParameters() |
|
|
845 | 843 | |
|
|
846 | 844 | opObj.addParameter(name='datatype' , value=self.datatype, format='str') |
|
|
847 | 845 | opObj.addParameter(name='path' , value=self.path, format='str') |
|
|
848 | 846 | opObj.addParameter(name='startDate' , value=self.startDate, format='date') |
|
|
849 | 847 | opObj.addParameter(name='endDate' , value=self.endDate, format='date') |
|
|
850 | 848 | opObj.addParameter(name='startTime' , value=self.startTime, format='time') |
|
|
851 | 849 | opObj.addParameter(name='endTime' , value=self.endTime, format='time') |
|
|
852 | 850 | |
|
|
853 | 851 | for key, value in kwargs.items(): |
|
|
854 | 852 | opObj.addParameter(name=key, value=value, format=type(value).__name__) |
|
|
855 | 853 | |
|
|
856 | 854 | return opObj |
|
|
857 | 855 | |
|
|
858 | 856 | # def makeXml(self, projectElement): |
|
|
859 | 857 | # |
|
|
860 | 858 | # procUnitElement = SubElement(projectElement, self.ELEMENTNAME) |
|
|
861 | 859 | # procUnitElement.set('id', str(self.id)) |
|
|
862 | 860 | # procUnitElement.set('name', self.name) |
|
|
863 | 861 | # procUnitElement.set('datatype', self.datatype) |
|
|
864 | 862 | # procUnitElement.set('inputId', str(self.inputId)) |
|
|
865 | 863 | # |
|
|
866 | 864 | # for opConfObj in self.opConfObjList: |
|
|
867 | 865 | # opConfObj.makeXml(procUnitElement) |
|
|
868 | 866 | |
|
|
869 | 867 | def readXml(self, upElement): |
|
|
870 | 868 | |
|
|
871 | 869 | self.id = upElement.get('id') |
|
|
872 | 870 | self.name = upElement.get('name') |
|
|
873 | 871 | self.datatype = upElement.get('datatype') |
|
|
874 | 872 | self.inputId = upElement.get('inputId') |
|
|
875 | 873 | |
|
|
876 | 874 | if self.ELEMENTNAME == "ReadUnit": |
|
|
877 | 875 | self.datatype = self.datatype.replace("Reader", "") |
|
|
878 | 876 | |
|
|
879 | 877 | if self.inputId == 'None': |
|
|
880 | 878 | self.inputId = '0' |
|
|
881 | 879 | |
|
|
882 | 880 | self.opConfObjList = [] |
|
|
883 | 881 | |
|
|
884 | 882 | opElementList = upElement.iter(OperationConf().getElementName()) |
|
|
885 | 883 | |
|
|
886 | 884 | for opElement in opElementList: |
|
|
887 | 885 | opConfObj = OperationConf() |
|
|
888 | 886 | opConfObj.readXml(opElement) |
|
|
889 | 887 | self.opConfObjList.append(opConfObj) |
|
|
890 | 888 | |
|
|
891 | 889 | if opConfObj.name == 'run': |
|
|
892 | 890 | self.path = opConfObj.getParameterValue('path') |
|
|
893 | 891 | self.startDate = opConfObj.getParameterValue('startDate') |
|
|
894 | 892 | self.endDate = opConfObj.getParameterValue('endDate') |
|
|
895 | 893 | self.startTime = opConfObj.getParameterValue('startTime') |
|
|
896 | 894 | self.endTime = opConfObj.getParameterValue('endTime') |
|
|
897 | 895 | |
|
|
898 | 896 | class Project(): |
|
|
899 | 897 | |
|
|
900 | 898 | id = None |
|
|
901 | 899 | name = None |
|
|
902 | 900 | description = None |
|
|
903 | 901 | filename = None |
|
|
904 | 902 | |
|
|
905 | 903 | procUnitConfObjDict = None |
|
|
906 | 904 | |
|
|
907 | 905 | ELEMENTNAME = 'Project' |
|
|
908 | 906 | |
|
|
909 | 907 | plotterQueue = None |
|
|
910 | 908 | |
|
|
911 | 909 | def __init__(self, plotter_queue=None): |
|
|
912 | 910 | |
|
|
913 | 911 | self.id = None |
|
|
914 | 912 | self.name = None |
|
|
915 | 913 | self.description = None |
|
|
916 | 914 | |
|
|
917 | 915 | self.plotterQueue = plotter_queue |
|
|
918 | 916 | |
|
|
919 | 917 | self.procUnitConfObjDict = {} |
|
|
920 | 918 | |
|
|
921 | 919 | def __getNewId(self): |
|
|
922 | 920 | |
|
|
923 | 921 | idList = self.procUnitConfObjDict.keys() |
|
|
924 | 922 | |
|
|
925 | 923 | id = int(self.id)*10 |
|
|
926 | 924 | |
|
|
927 | 925 | while True: |
|
|
928 | 926 | id += 1 |
|
|
929 | 927 | |
|
|
930 | 928 | if str(id) in idList: |
|
|
931 | 929 | continue |
|
|
932 | 930 | |
|
|
933 | 931 | break |
|
|
934 | 932 | |
|
|
935 | 933 | return str(id) |
|
|
936 | 934 | |
|
|
937 | 935 | def getElementName(self): |
|
|
938 | 936 | |
|
|
939 | 937 | return self.ELEMENTNAME |
|
|
940 | 938 | |
|
|
941 | 939 | def getId(self): |
|
|
942 | 940 | |
|
|
943 | 941 | return self.id |
|
|
944 | 942 | |
|
|
945 | 943 | def updateId(self, new_id): |
|
|
946 | 944 | |
|
|
947 | 945 | self.id = str(new_id) |
|
|
948 | 946 | |
|
|
949 | 947 | keyList = self.procUnitConfObjDict.keys() |
|
|
950 | 948 | keyList.sort() |
|
|
951 | 949 | |
|
|
952 | 950 | n = 1 |
|
|
953 | 951 | newProcUnitConfObjDict = {} |
|
|
954 | 952 | |
|
|
955 | 953 | for procKey in keyList: |
|
|
956 | 954 | |
|
|
957 | 955 | procUnitConfObj = self.procUnitConfObjDict[procKey] |
|
|
958 | 956 | idProcUnit = str(int(self.id)*10 + n) |
|
|
959 | 957 | procUnitConfObj.updateId(idProcUnit, parentId = self.id) |
|
|
960 | 958 | |
|
|
961 | 959 | newProcUnitConfObjDict[idProcUnit] = procUnitConfObj |
|
|
962 | 960 | n += 1 |
|
|
963 | 961 | |
|
|
964 | 962 | self.procUnitConfObjDict = newProcUnitConfObjDict |
|
|
965 | 963 | |
|
|
966 | 964 | def setup(self, id, name, description): |
|
|
967 | 965 | |
|
|
968 | 966 | self.id = str(id) |
|
|
969 | 967 | self.name = name |
|
|
970 | 968 | self.description = description |
|
|
971 | 969 | |
|
|
972 | 970 | def update(self, name, description): |
|
|
973 | 971 | |
|
|
974 | 972 | self.name = name |
|
|
975 | 973 | self.description = description |
|
|
976 | 974 | |
|
|
977 | 975 | def addReadUnit(self, id=None, datatype=None, name=None, **kwargs): |
|
|
978 | 976 | |
|
|
979 | 977 | if id is None: |
|
|
980 | 978 | idReadUnit = self.__getNewId() |
|
|
981 | 979 | else: |
|
|
982 | 980 | idReadUnit = str(id) |
|
|
983 | 981 | |
|
|
984 | 982 | readUnitConfObj = ReadUnitConf() |
|
|
985 | 983 | readUnitConfObj.setup(idReadUnit, name, datatype, parentId=self.id, **kwargs) |
|
|
986 | 984 | |
|
|
987 | 985 | self.procUnitConfObjDict[readUnitConfObj.getId()] = readUnitConfObj |
|
|
988 | 986 | |
|
|
989 | 987 | return readUnitConfObj |
|
|
990 | 988 | |
|
|
991 | 989 | def addProcUnit(self, inputId='0', datatype=None, name=None): |
|
|
992 | 990 | |
|
|
993 | 991 | idProcUnit = self.__getNewId() |
|
|
994 | 992 | |
|
|
995 | 993 | procUnitConfObj = ProcUnitConf() |
|
|
996 | 994 | procUnitConfObj.setup(idProcUnit, name, datatype, inputId, parentId=self.id) |
|
|
997 | 995 | |
|
|
998 | 996 | self.procUnitConfObjDict[procUnitConfObj.getId()] = procUnitConfObj |
|
|
999 | 997 | |
|
|
1000 | 998 | return procUnitConfObj |
|
|
1001 | 999 | |
|
|
1002 | 1000 | def removeProcUnit(self, id): |
|
|
1003 | 1001 | |
|
|
1004 | 1002 | if id in self.procUnitConfObjDict.keys(): |
|
|
1005 | 1003 | self.procUnitConfObjDict.pop(id) |
|
|
1006 | 1004 | |
|
|
1007 | 1005 | def getReadUnitId(self): |
|
|
1008 | 1006 | |
|
|
1009 | 1007 | readUnitConfObj = self.getReadUnitObj() |
|
|
1010 | 1008 | |
|
|
1011 | 1009 | return readUnitConfObj.id |
|
|
1012 | 1010 | |
|
|
1013 | 1011 | def getReadUnitObj(self): |
|
|
1014 | 1012 | |
|
|
1015 | 1013 | for obj in self.procUnitConfObjDict.values(): |
|
|
1016 | 1014 | if obj.getElementName() == "ReadUnit": |
|
|
1017 | 1015 | return obj |
|
|
1018 | 1016 | |
|
|
1019 | 1017 | return None |
|
|
1020 | 1018 | |
|
|
1021 | 1019 | def getProcUnitObj(self, id=None, name=None): |
|
|
1022 | 1020 | |
|
|
1023 | 1021 | if id != None: |
|
|
1024 | 1022 | return self.procUnitConfObjDict[id] |
|
|
1025 | 1023 | |
|
|
1026 | 1024 | if name != None: |
|
|
1027 | 1025 | return self.getProcUnitObjByName(name) |
|
|
1028 | 1026 | |
|
|
1029 | 1027 | return None |
|
|
1030 | 1028 | |
|
|
1031 | 1029 | def getProcUnitObjByName(self, name): |
|
|
1032 | 1030 | |
|
|
1033 | 1031 | for obj in self.procUnitConfObjDict.values(): |
|
|
1034 | 1032 | if obj.name == name: |
|
|
1035 | 1033 | return obj |
|
|
1036 | 1034 | |
|
|
1037 | 1035 | return None |
|
|
1038 | 1036 | |
|
|
1039 | 1037 | def procUnitItems(self): |
|
|
1040 | 1038 | |
|
|
1041 | 1039 | return self.procUnitConfObjDict.items() |
|
|
1042 | 1040 | |
|
|
1043 | 1041 | def makeXml(self): |
|
|
1044 | 1042 | |
|
|
1045 | 1043 | projectElement = Element('Project') |
|
|
1046 | 1044 | projectElement.set('id', str(self.id)) |
|
|
1047 | 1045 | projectElement.set('name', self.name) |
|
|
1048 | 1046 | projectElement.set('description', self.description) |
|
|
1049 | 1047 | |
|
|
1050 | 1048 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
|
1051 | 1049 | procUnitConfObj.makeXml(projectElement) |
|
|
1052 | 1050 | |
|
|
1053 | 1051 | self.projectElement = projectElement |
|
|
1054 | 1052 | |
|
|
1055 | 1053 | def writeXml(self, filename=None): |
|
|
1056 | 1054 | |
|
|
1057 | 1055 | if filename == None: |
|
|
1058 | 1056 | if self.filename: |
|
|
1059 | 1057 | filename = self.filename |
|
|
1060 | 1058 | else: |
|
|
1061 | 1059 | filename = "schain.xml" |
|
|
1062 | 1060 | |
|
|
1063 | 1061 | if not filename: |
|
|
1064 | 1062 | print "filename has not been defined. Use setFilename(filename) for do it." |
|
|
1065 | 1063 | return 0 |
|
|
1066 | 1064 | |
|
|
1067 | 1065 | abs_file = os.path.abspath(filename) |
|
|
1068 | 1066 | |
|
|
1069 | 1067 | if not os.access(os.path.dirname(abs_file), os.W_OK): |
|
|
1070 | 1068 | print "No write permission on %s" %os.path.dirname(abs_file) |
|
|
1071 | 1069 | return 0 |
|
|
1072 | 1070 | |
|
|
1073 | 1071 | if os.path.isfile(abs_file) and not(os.access(abs_file, os.W_OK)): |
|
|
1074 | 1072 | print "File %s already exists and it could not be overwriten" %abs_file |
|
|
1075 | 1073 | return 0 |
|
|
1076 | 1074 | |
|
|
1077 | 1075 | self.makeXml() |
|
|
1078 | 1076 | |
|
|
1079 | 1077 | ElementTree(self.projectElement).write(abs_file, method='xml') |
|
|
1080 | 1078 | |
|
|
1081 | 1079 | self.filename = abs_file |
|
|
1082 | 1080 | |
|
|
1083 | 1081 | return 1 |
|
|
1084 | 1082 | |
|
|
1085 | 1083 | def readXml(self, filename = None): |
|
|
1086 | 1084 | |
|
|
1087 | 1085 | if not filename: |
|
|
1088 | 1086 | print "filename is not defined" |
|
|
1089 | 1087 | return 0 |
|
|
1090 | 1088 | |
|
|
1091 | 1089 | abs_file = os.path.abspath(filename) |
|
|
1092 | 1090 | |
|
|
1093 | 1091 | if not os.path.isfile(abs_file): |
|
|
1094 | 1092 | print "%s file does not exist" %abs_file |
|
|
1095 | 1093 | return 0 |
|
|
1096 | 1094 | |
|
|
1097 | 1095 | self.projectElement = None |
|
|
1098 | 1096 | self.procUnitConfObjDict = {} |
|
|
1099 | 1097 | |
|
|
1100 | 1098 | try: |
|
|
1101 | 1099 | self.projectElement = ElementTree().parse(abs_file) |
|
|
1102 | 1100 | except: |
|
|
1103 | 1101 | print "Error reading %s, verify file format" %filename |
|
|
1104 | 1102 | return 0 |
|
|
1105 | 1103 | |
|
|
1106 | 1104 | self.project = self.projectElement.tag |
|
|
1107 | 1105 | |
|
|
1108 | 1106 | self.id = self.projectElement.get('id') |
|
|
1109 | 1107 | self.name = self.projectElement.get('name') |
|
|
1110 | 1108 | self.description = self.projectElement.get('description') |
|
|
1111 | 1109 | |
|
|
1112 | 1110 | readUnitElementList = self.projectElement.iter(ReadUnitConf().getElementName()) |
|
|
1113 | 1111 | |
|
|
1114 | 1112 | for readUnitElement in readUnitElementList: |
|
|
1115 | 1113 | readUnitConfObj = ReadUnitConf() |
|
|
1116 | 1114 | readUnitConfObj.readXml(readUnitElement) |
|
|
1117 | 1115 | |
|
|
1118 | 1116 | if readUnitConfObj.parentId == None: |
|
|
1119 | 1117 | readUnitConfObj.parentId = self.id |
|
|
1120 | 1118 | |
|
|
1121 | 1119 | self.procUnitConfObjDict[readUnitConfObj.getId()] = readUnitConfObj |
|
|
1122 | 1120 | |
|
|
1123 | 1121 | procUnitElementList = self.projectElement.iter(ProcUnitConf().getElementName()) |
|
|
1124 | 1122 | |
|
|
1125 | 1123 | for procUnitElement in procUnitElementList: |
|
|
1126 | 1124 | procUnitConfObj = ProcUnitConf() |
|
|
1127 | 1125 | procUnitConfObj.readXml(procUnitElement) |
|
|
1128 | 1126 | |
|
|
1129 | 1127 | if procUnitConfObj.parentId == None: |
|
|
1130 | 1128 | procUnitConfObj.parentId = self.id |
|
|
1131 | 1129 | |
|
|
1132 | 1130 | self.procUnitConfObjDict[procUnitConfObj.getId()] = procUnitConfObj |
|
|
1133 | 1131 | |
|
|
1134 | 1132 | self.filename = abs_file |
|
|
1135 | 1133 | |
|
|
1136 | 1134 | return 1 |
|
|
1137 | 1135 | |
|
|
1138 | 1136 | def printattr(self): |
|
|
1139 | 1137 | |
|
|
1140 | 1138 | print "Project[%s]: name = %s, description = %s" %(self.id, |
|
|
1141 | 1139 | self.name, |
|
|
1142 | 1140 | self.description) |
|
|
1143 | 1141 | |
|
|
1144 | 1142 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
|
1145 | 1143 | procUnitConfObj.printattr() |
|
|
1146 | 1144 | |
|
|
1147 | 1145 | def createObjects(self): |
|
|
1148 | 1146 | |
|
|
1149 | 1147 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
|
1150 | 1148 | procUnitConfObj.createObjects(self.plotterQueue) |
|
|
1151 | 1149 | |
|
|
1152 | 1150 | def __connect(self, objIN, thisObj): |
|
|
1153 | 1151 | |
|
|
1154 | 1152 | thisObj.setInput(objIN.getOutputObj()) |
|
|
1155 | 1153 | |
|
|
1156 | 1154 | def connectObjects(self): |
|
|
1157 | 1155 | |
|
|
1158 | 1156 | for thisPUConfObj in self.procUnitConfObjDict.values(): |
|
|
1159 | 1157 | |
|
|
1160 | 1158 | inputId = thisPUConfObj.getInputId() |
|
|
1161 | 1159 | |
|
|
1162 | 1160 | if int(inputId) == 0: |
|
|
1163 | 1161 | continue |
|
|
1164 | 1162 | |
|
|
1165 | 1163 | #Get input object |
|
|
1166 | 1164 | puConfINObj = self.procUnitConfObjDict[inputId] |
|
|
1167 | 1165 | puObjIN = puConfINObj.getProcUnitObj() |
|
|
1168 | 1166 | |
|
|
1169 | 1167 | #Get current object |
|
|
1170 | 1168 | thisPUObj = thisPUConfObj.getProcUnitObj() |
|
|
1171 | 1169 | |
|
|
1172 | 1170 | self.__connect(puObjIN, thisPUObj) |
|
|
1173 | 1171 | |
|
|
1174 | 1172 | def __handleError(self, procUnitConfObj, send_email=True): |
|
|
1175 | 1173 | |
|
|
1176 | 1174 | import socket |
|
|
1177 | 1175 | |
|
|
1178 | 1176 | err = traceback.format_exception(sys.exc_info()[0], |
|
|
1179 | 1177 | sys.exc_info()[1], |
|
|
1180 | 1178 | sys.exc_info()[2]) |
|
|
1181 | 1179 | |
|
|
1182 | 1180 | print "***** Error occurred in %s *****" %(procUnitConfObj.name) |
|
|
1183 | 1181 | print "***** %s" %err[-1] |
|
|
1184 | 1182 | |
|
|
1185 | 1183 | message = "".join(err) |
|
|
1186 | 1184 | |
|
|
1187 | 1185 | sys.stderr.write(message) |
|
|
1188 | 1186 | |
|
|
1189 | 1187 | if not send_email: |
|
|
1190 | 1188 | return |
|
|
1191 | 1189 | |
|
|
1192 | 1190 | subject = "SChain v%s: Error running %s\n" %(schainpy.__version__, procUnitConfObj.name) |
|
|
1193 | 1191 | |
|
|
1194 | 1192 | subtitle = "%s: %s\n" %(procUnitConfObj.getElementName() ,procUnitConfObj.name) |
|
|
1195 | 1193 | subtitle += "Hostname: %s\n" %socket.gethostbyname(socket.gethostname()) |
|
|
1196 | 1194 | subtitle += "Working directory: %s\n" %os.path.abspath("./") |
|
|
1197 | 1195 | subtitle += "Configuration file: %s\n" %self.filename |
|
|
1198 | 1196 | subtitle += "Time: %s\n" %str(datetime.datetime.now()) |
|
|
1199 | 1197 | |
|
|
1200 | 1198 | readUnitConfObj = self.getReadUnitObj() |
|
|
1201 | 1199 | if readUnitConfObj: |
|
|
1202 | 1200 | subtitle += "\nInput parameters:\n" |
|
|
1203 | 1201 | subtitle += "[Data path = %s]\n" %readUnitConfObj.path |
|
|
1204 | 1202 | subtitle += "[Data type = %s]\n" %readUnitConfObj.datatype |
|
|
1205 | 1203 | subtitle += "[Start date = %s]\n" %readUnitConfObj.startDate |
|
|
1206 | 1204 | subtitle += "[End date = %s]\n" %readUnitConfObj.endDate |
|
|
1207 | 1205 | subtitle += "[Start time = %s]\n" %readUnitConfObj.startTime |
|
|
1208 | 1206 | subtitle += "[End time = %s]\n" %readUnitConfObj.endTime |
|
|
1209 | 1207 | |
|
|
1210 | 1208 | adminObj = schainpy.admin.SchainNotify() |
|
|
1211 | 1209 | adminObj.sendAlert(message=message, |
|
|
1212 | 1210 | subject=subject, |
|
|
1213 | 1211 | subtitle=subtitle, |
|
|
1214 | 1212 | filename=self.filename) |
|
|
1215 | 1213 | |
|
|
1216 | 1214 | def isPaused(self): |
|
|
1217 | 1215 | return 0 |
|
|
1218 | 1216 | |
|
|
1219 | 1217 | def isStopped(self): |
|
|
1220 | 1218 | return 0 |
|
|
1221 | 1219 | |
|
|
1222 | 1220 | def runController(self): |
|
|
1223 | 1221 | """ |
|
|
1224 | 1222 | returns 0 when this process has been stopped, 1 otherwise |
|
|
1225 | 1223 | """ |
|
|
1226 | 1224 | |
|
|
1227 | 1225 | if self.isPaused(): |
|
|
1228 | 1226 | print "Process suspended" |
|
|
1229 | 1227 | |
|
|
1230 | 1228 | while True: |
|
|
1231 | 1229 | sleep(0.1) |
|
|
1232 | 1230 | |
|
|
1233 | 1231 | if not self.isPaused(): |
|
|
1234 | 1232 | break |
|
|
1235 | 1233 | |
|
|
1236 | 1234 | if self.isStopped(): |
|
|
1237 | 1235 | break |
|
|
1238 | 1236 | |
|
|
1239 | 1237 | print "Process reinitialized" |
|
|
1240 | 1238 | |
|
|
1241 | 1239 | if self.isStopped(): |
|
|
1242 | 1240 | print "Process stopped" |
|
|
1243 | 1241 | return 0 |
|
|
1244 | 1242 | |
|
|
1245 | 1243 | return 1 |
|
|
1246 | 1244 | |
|
|
1247 | 1245 | def setFilename(self, filename): |
|
|
1248 | 1246 | |
|
|
1249 | 1247 | self.filename = filename |
|
|
1250 | 1248 | |
|
|
1251 | 1249 | def setPlotterQueue(self, plotter_queue): |
|
|
1252 | 1250 | |
|
|
1253 | 1251 | raise NotImplementedError, "Use schainpy.controller_api.ControllerThread instead Project class" |
|
|
1254 | 1252 | |
|
|
1255 | 1253 | def getPlotterQueue(self): |
|
|
1256 | 1254 | |
|
|
1257 | 1255 | raise NotImplementedError, "Use schainpy.controller_api.ControllerThread instead Project class" |
|
|
1258 | 1256 | |
|
|
1259 | 1257 | def useExternalPlotter(self): |
|
|
1260 | 1258 | |
|
|
1261 | 1259 | raise NotImplementedError, "Use schainpy.controller_api.ControllerThread instead Project class" |
|
|
1262 | 1260 | |
|
|
1263 | 1261 | def run(self): |
|
|
1264 | 1262 | |
|
|
1265 | 1263 | |
|
|
1266 | 1264 | print "*"*60 |
|
|
1267 | 1265 | print " Starting SIGNAL CHAIN PROCESSING v%s " %schainpy.__version__ |
|
|
1268 | 1266 | print "*"*60 |
|
|
1269 | 1267 | |
|
|
1270 | 1268 | |
|
|
1271 | 1269 | keyList = self.procUnitConfObjDict.keys() |
|
|
1272 | 1270 | keyList.sort() |
|
|
1273 | 1271 | |
|
|
1274 | 1272 | while(True): |
|
|
1275 | 1273 | |
|
|
1276 | 1274 | is_ok = False |
|
|
1277 | 1275 | |
|
|
1278 | 1276 | for procKey in keyList: |
|
|
1279 | 1277 | # print "Running the '%s' process with %s" %(procUnitConfObj.name, procUnitConfObj.id) |
|
|
1280 | 1278 | |
|
|
1281 | 1279 | procUnitConfObj = self.procUnitConfObjDict[procKey] |
|
|
1282 | 1280 | |
|
|
1283 | 1281 | try: |
|
|
1284 | 1282 | sts = procUnitConfObj.run() |
|
|
1285 | 1283 | is_ok = is_ok or sts |
|
|
1286 | 1284 | except KeyboardInterrupt: |
|
|
1287 | 1285 | is_ok = False |
|
|
1288 | 1286 | break |
|
|
1289 | 1287 | except ValueError, e: |
|
|
1290 | 1288 | sleep(0.5) |
|
|
1291 | 1289 | self.__handleError(procUnitConfObj, send_email=True) |
|
|
1292 | 1290 | is_ok = False |
|
|
1293 | 1291 | break |
|
|
1294 | 1292 | except: |
|
|
1295 | 1293 | sleep(0.5) |
|
|
1296 | 1294 | self.__handleError(procUnitConfObj) |
|
|
1297 | 1295 | is_ok = False |
|
|
1298 | 1296 | break |
|
|
1299 | 1297 | |
|
|
1300 | 1298 | #If every process unit finished so end process |
|
|
1301 | 1299 | if not(is_ok): |
|
|
1302 | 1300 | # print "Every process unit have finished" |
|
|
1303 | 1301 | break |
|
|
1304 | 1302 | |
|
|
1305 | 1303 | if not self.runController(): |
|
|
1306 | 1304 | break |
|
|
1307 | 1305 | |
|
|
1308 | 1306 | #Closing every process |
|
|
1309 | 1307 | for procKey in keyList: |
|
|
1310 | 1308 | procUnitConfObj = self.procUnitConfObjDict[procKey] |
|
|
1311 | 1309 | procUnitConfObj.close() |
|
|
1312 | 1310 | |
|
|
1313 | 1311 | print "Process finished" |
|
|
1314 | 1312 | |
|
|
1315 | 1313 | def start(self): |
|
|
1316 | 1314 | |
|
|
1317 | 1315 | self.writeXml() |
|
|
1318 | 1316 | self.createObjects() |
|
|
1319 | 1317 | self.connectObjects() |
|
|
1320 | 1318 | self.run() |
| @@ -1,378 +1,377 | |||
|
|
1 | 1 | |
|
|
2 | 2 | import os |
|
|
3 | 3 | import zmq |
|
|
4 | 4 | import time |
|
|
5 | 5 | import numpy |
|
|
6 | 6 | import datetime |
|
|
7 | 7 | import numpy as np |
|
|
8 | 8 | import matplotlib.pyplot as plt |
|
|
9 | 9 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
|
10 | 10 | from matplotlib.ticker import FuncFormatter, LinearLocator |
|
|
11 | 11 | from multiprocessing import Process |
|
|
12 | 12 | |
|
|
13 | 13 | from schainpy.model.proc.jroproc_base import Operation |
|
|
14 | 14 | |
|
|
15 | 15 | #plt.ion() |
|
|
16 | 16 | |
|
|
17 | 17 | func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime('%H:%M')) |
|
|
18 | 18 | |
|
|
19 | 19 | d1970 = datetime.datetime(1970,1,1) |
|
|
20 | 20 | |
|
|
21 | 21 | class PlotData(Operation, Process): |
|
|
22 | 22 | |
|
|
23 | 23 | CODE = 'Figure' |
|
|
24 | 24 | colormap = 'jet' |
|
|
25 | 25 | CONFLATE = True |
|
|
26 | 26 | __MAXNUMX = 80 |
|
|
27 | 27 | __MAXNUMY = 80 |
|
|
28 | 28 | __missing = 1E30 |
|
|
29 | 29 | |
|
|
30 | 30 | def __init__(self, **kwargs): |
|
|
31 | 31 | |
|
|
32 | 32 | Operation.__init__(self, **kwargs) |
|
|
33 | 33 | Process.__init__(self) |
|
|
34 | 34 | self.mp = False |
|
|
35 | 35 | self.dataOut = None |
|
|
36 | 36 | self.isConfig = False |
|
|
37 | 37 | self.figure = None |
|
|
38 | 38 | self.axes = [] |
|
|
39 | 39 | self.localtime = kwargs.pop('localtime', True) |
|
|
40 | 40 | self.show = kwargs.get('show', True) |
|
|
41 | 41 | self.save = kwargs.get('save', False) |
|
|
42 | 42 | self.colormap = kwargs.get('colormap', self.colormap) |
|
|
43 | 43 | self.showprofile = kwargs.get('showprofile', False) |
|
|
44 | 44 | self.title = kwargs.get('wintitle', '') |
|
|
45 | 45 | self.xaxis = kwargs.get('xaxis', 'time') |
|
|
46 | 46 | self.zmin = kwargs.get('zmin', None) |
|
|
47 | 47 | self.zmax = kwargs.get('zmax', None) |
|
|
48 | 48 | self.xmin = kwargs.get('xmin', None) |
|
|
49 | 49 | self.xmax = kwargs.get('xmax', None) |
|
|
50 | 50 | self.xrange = kwargs.get('xrange', 24) |
|
|
51 | 51 | self.ymin = kwargs.get('ymin', None) |
|
|
52 | 52 | self.ymax = kwargs.get('ymax', None) |
|
|
53 | ||
|
|
53 | self.throttle_value = 1 | |
|
|
54 | 54 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): |
|
|
55 | 55 | |
|
|
56 | 56 | if x_buffer.shape[0] < 2: |
|
|
57 | 57 | return x_buffer, y_buffer, z_buffer |
|
|
58 | 58 | |
|
|
59 | 59 | deltas = x_buffer[1:] - x_buffer[0:-1] |
|
|
60 | 60 | x_median = np.median(deltas) |
|
|
61 | 61 | |
|
|
62 | 62 | index = np.where(deltas > 5*x_median) |
|
|
63 | 63 | |
|
|
64 | 64 | if len(index[0]) != 0: |
|
|
65 | 65 | z_buffer[::, index[0], ::] = self.__missing |
|
|
66 | 66 | z_buffer = np.ma.masked_inside(z_buffer, |
|
|
67 | 67 | 0.99*self.__missing, |
|
|
68 | 68 | 1.01*self.__missing) |
|
|
69 | 69 | |
|
|
70 | 70 | return x_buffer, y_buffer, z_buffer |
|
|
71 | 71 | |
|
|
72 | 72 | def decimate(self): |
|
|
73 | 73 | |
|
|
74 | dx = int(len(self.x)/self.__MAXNUMX) + 1 | |
|
|
74 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 | |
|
|
75 | 75 | dy = int(len(self.y)/self.__MAXNUMY) + 1 |
|
|
76 | 76 | |
|
|
77 | x = self.x[::dx] | |
|
|
77 | # x = self.x[::dx] | |
|
|
78 | x = self.x | |
|
|
78 | 79 | y = self.y[::dy] |
|
|
79 |
z = self.z[::, :: |
|
|
|
80 | z = self.z[::, ::, ::dy] | |
|
|
80 | 81 | |
|
|
81 | 82 | return x, y, z |
|
|
82 | 83 | |
|
|
83 | 84 | def __plot(self): |
|
|
84 | 85 | |
|
|
85 | 86 | print 'plotting...{}'.format(self.CODE) |
|
|
86 | 87 | |
|
|
87 | 88 | self.plot() |
|
|
88 | 89 | self.figure.suptitle('{} {} - Date:{}'.format(self.title, self.CODE.upper(), |
|
|
89 | 90 | datetime.datetime.utcfromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S'))) |
|
|
90 | 91 | |
|
|
91 | 92 | if self.save: |
|
|
92 | 93 | figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE, |
|
|
93 |
datetime.datetime.utcfromtimestamp(self.times[ |
|
|
|
94 | datetime.datetime.utcfromtimestamp(self.times[0]).strftime('%y%m%d_%H%M%S'))) | |
|
|
94 | 95 | print 'Saving figure: {}'.format(figname) |
|
|
95 | 96 | self.figure.savefig(figname) |
|
|
96 | 97 | |
|
|
97 | 98 | self.figure.canvas.draw() |
|
|
98 | 99 | |
|
|
99 | 100 | def plot(self): |
|
|
100 | 101 | |
|
|
101 | 102 | print 'plotting...{}'.format(self.CODE.upper()) |
|
|
102 | 103 | return |
|
|
103 | 104 | |
|
|
104 | 105 | def run(self): |
|
|
105 | 106 | |
|
|
106 | 107 | print '[Starting] {}'.format(self.name) |
|
|
107 | 108 | context = zmq.Context() |
|
|
108 | 109 | receiver = context.socket(zmq.SUB) |
|
|
109 | 110 | receiver.setsockopt(zmq.SUBSCRIBE, '') |
|
|
110 | 111 | receiver.setsockopt(zmq.CONFLATE, self.CONFLATE) |
|
|
111 | 112 | receiver.connect("ipc:///tmp/zmq.plots") |
|
|
112 | 113 | |
|
|
113 | 114 | while True: |
|
|
114 | 115 | try: |
|
|
115 | 116 | #if True: |
|
|
116 | 117 | self.data = receiver.recv_pyobj(flags=zmq.NOBLOCK) |
|
|
117 | 118 | self.dataOut = self.data['dataOut'] |
|
|
118 | 119 | self.times = self.data['times'] |
|
|
119 | 120 | self.times.sort() |
|
|
121 | self.throttle_value = self.data['throttle'] | |
|
|
120 | 122 | self.min_time = self.times[0] |
|
|
121 | 123 | self.max_time = self.times[-1] |
|
|
122 | 124 | |
|
|
123 | 125 | if self.isConfig is False: |
|
|
124 | 126 | self.setup() |
|
|
125 | 127 | self.isConfig = True |
|
|
126 | ||
|
|
127 | 128 | self.__plot() |
|
|
128 | 129 | |
|
|
129 |
if 'ENDED' i |
|
|
|
130 | # self.setup() | |
|
|
130 | if self.data['ENDED'] is True: | |
|
|
131 | 131 | # self.__plot() |
|
|
132 |
|
|
|
|
132 | self.isConfig = False | |
|
|
133 | 133 | |
|
|
134 | 134 | except zmq.Again as e: |
|
|
135 | 135 | print 'Waiting for data...' |
|
|
136 |
plt.pause( |
|
|
|
137 | #time.sleep(3) | |
|
|
136 | plt.pause(self.throttle_value) | |
|
|
137 | # time.sleep(3) | |
|
|
138 | 138 | |
|
|
139 | 139 | def close(self): |
|
|
140 | 140 | if self.dataOut: |
|
|
141 | 141 | self._plot() |
|
|
142 | 142 | |
|
|
143 | 143 | |
|
|
144 | 144 | class PlotSpectraData(PlotData): |
|
|
145 | 145 | |
|
|
146 | 146 | CODE = 'spc' |
|
|
147 | 147 | colormap = 'jro' |
|
|
148 | 148 | CONFLATE = False |
|
|
149 | 149 | def setup(self): |
|
|
150 | 150 | |
|
|
151 | 151 | ncolspan = 1 |
|
|
152 | 152 | colspan = 1 |
|
|
153 | 153 | self.ncols = int(numpy.sqrt(self.dataOut.nChannels)+0.9) |
|
|
154 | 154 | self.nrows = int(self.dataOut.nChannels*1./self.ncols + 0.9) |
|
|
155 | 155 | self.width = 3.6*self.ncols |
|
|
156 | 156 | self.height = 3.2*self.nrows |
|
|
157 | 157 | if self.showprofile: |
|
|
158 | 158 | ncolspan = 3 |
|
|
159 | 159 | colspan = 2 |
|
|
160 | 160 | self.width += 1.2*self.ncols |
|
|
161 | 161 | |
|
|
162 | 162 | self.ylabel = 'Range [Km]' |
|
|
163 | 163 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] |
|
|
164 | 164 | |
|
|
165 | 165 | if self.figure is None: |
|
|
166 | 166 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
|
167 | 167 | edgecolor='k', |
|
|
168 | 168 | facecolor='w') |
|
|
169 | 169 | else: |
|
|
170 | 170 | self.figure.clf() |
|
|
171 | 171 | |
|
|
172 | 172 | n = 0 |
|
|
173 | 173 | for y in range(self.nrows): |
|
|
174 | 174 | for x in range(self.ncols): |
|
|
175 | 175 | if n >= self.dataOut.nChannels: |
|
|
176 | 176 | break |
|
|
177 | 177 | ax = plt.subplot2grid((self.nrows, self.ncols*ncolspan), (y, x*ncolspan), 1, colspan) |
|
|
178 | 178 | if self.showprofile: |
|
|
179 | 179 | ax.ax_profile = plt.subplot2grid((self.nrows, self.ncols*ncolspan), (y, x*ncolspan+colspan), 1, 1) |
|
|
180 | 180 | |
|
|
181 | 181 | ax.firsttime = True |
|
|
182 | 182 | self.axes.append(ax) |
|
|
183 | 183 | n += 1 |
|
|
184 | 184 | |
|
|
185 | 185 | self.figure.subplots_adjust(wspace=0.9, hspace=0.5) |
|
|
186 | 186 | self.figure.show() |
|
|
187 | 187 | |
|
|
188 | 188 | def plot(self): |
|
|
189 | 189 | |
|
|
190 | 190 | if self.xaxis == "frequency": |
|
|
191 | 191 | x = self.dataOut.getFreqRange(1)/1000. |
|
|
192 | 192 | xlabel = "Frequency (kHz)" |
|
|
193 | 193 | elif self.xaxis == "time": |
|
|
194 | 194 | x = self.dataOut.getAcfRange(1) |
|
|
195 | 195 | xlabel = "Time (ms)" |
|
|
196 | 196 | else: |
|
|
197 | 197 | x = self.dataOut.getVelRange(1) |
|
|
198 | 198 | xlabel = "Velocity (m/s)" |
|
|
199 | 199 | |
|
|
200 | 200 | y = self.dataOut.getHeiRange() |
|
|
201 | 201 | z = self.data[self.CODE] |
|
|
202 | 202 | |
|
|
203 | 203 | for n, ax in enumerate(self.axes): |
|
|
204 | 204 | |
|
|
205 | 205 | if ax.firsttime: |
|
|
206 | 206 | self.xmax = self.xmax if self.xmax else np.nanmax(x) |
|
|
207 | 207 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
208 | 208 | self.ymin = self.ymin if self.ymin else np.nanmin(y) |
|
|
209 | 209 | self.ymax = self.ymax if self.ymax else np.nanmax(y) |
|
|
210 | 210 | self.zmin = self.zmin if self.zmin else np.nanmin(z) |
|
|
211 | 211 | self.zmax = self.zmax if self.zmax else np.nanmax(z) |
|
|
212 | 212 | ax.plot = ax.pcolormesh(x, y, z[n].T, |
|
|
213 | 213 | vmin=self.zmin, |
|
|
214 | 214 | vmax=self.zmax, |
|
|
215 | 215 | cmap=plt.get_cmap(self.colormap) |
|
|
216 | 216 | ) |
|
|
217 | 217 | divider = make_axes_locatable(ax) |
|
|
218 | 218 | cax = divider.new_horizontal(size='3%', pad=0.05) |
|
|
219 | 219 | self.figure.add_axes(cax) |
|
|
220 | 220 | plt.colorbar(ax.plot, cax) |
|
|
221 | 221 | |
|
|
222 | 222 | ax.set_xlim(self.xmin, self.xmax) |
|
|
223 | 223 | ax.set_ylim(self.ymin, self.ymax) |
|
|
224 | 224 | |
|
|
225 | 225 | ax.xaxis.set_major_locator(LinearLocator(5)) |
|
|
226 | 226 | #ax.yaxis.set_major_locator(LinearLocator(4)) |
|
|
227 | 227 | |
|
|
228 | 228 | ax.set_ylabel(self.ylabel) |
|
|
229 | 229 | ax.set_xlabel(xlabel) |
|
|
230 | 230 | |
|
|
231 | 231 | ax.firsttime = False |
|
|
232 | 232 | |
|
|
233 | 233 | if self.showprofile: |
|
|
234 | 234 | ax.plot_profile= ax.ax_profile.plot(self.data['rti'][self.max_time][n], y)[0] |
|
|
235 | 235 | ax.ax_profile.set_xlim(self.zmin, self.zmax) |
|
|
236 | 236 | ax.ax_profile.set_ylim(self.ymin, self.ymax) |
|
|
237 | 237 | ax.ax_profile.set_xlabel('dB') |
|
|
238 | 238 | ax.ax_profile.grid(b=True, axis='x') |
|
|
239 | 239 | ax.plot_noise = ax.ax_profile.plot(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y, |
|
|
240 | 240 | color="k", linestyle="dashed", lw=2)[0] |
|
|
241 | 241 | [tick.set_visible(False) for tick in ax.ax_profile.get_yticklabels()] |
|
|
242 | 242 | else: |
|
|
243 | 243 | ax.plot.set_array(z[n].T.ravel()) |
|
|
244 | 244 | if self.showprofile: |
|
|
245 | 245 | ax.plot_profile.set_data(self.data['rti'][self.max_time][n], y) |
|
|
246 | 246 | ax.plot_noise.set_data(numpy.repeat(self.data['noise'][self.max_time][n], len(y)), y) |
|
|
247 | 247 | |
|
|
248 | 248 | ax.set_title('{} - Noise: {:.2f} dB'.format(self.titles[n], self.data['noise'][self.max_time][n]), |
|
|
249 | 249 | size=8) |
|
|
250 | 250 | |
|
|
251 | 251 | class PlotRTIData(PlotData): |
|
|
252 | 252 | |
|
|
253 | 253 | CODE = 'rti' |
|
|
254 | 254 | colormap = 'jro' |
|
|
255 | 255 | |
|
|
256 | 256 | def setup(self): |
|
|
257 | ||
|
|
258 | 257 | self.ncols = 1 |
|
|
259 | 258 | self.nrows = self.dataOut.nChannels |
|
|
260 | 259 | self.width = 10 |
|
|
261 | 260 | self.height = 2.2*self.nrows |
|
|
262 | 261 | self.ylabel = 'Range [Km]' |
|
|
263 | 262 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] |
|
|
264 | 263 | |
|
|
265 | 264 | if self.figure is None: |
|
|
266 | 265 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
|
267 | 266 | edgecolor='k', |
|
|
268 | 267 | facecolor='w') |
|
|
269 | 268 | else: |
|
|
270 | 269 | self.figure.clf() |
|
|
270 | self.axes = [] | |
|
|
271 | 271 | |
|
|
272 | 272 | for n in range(self.nrows): |
|
|
273 | 273 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) |
|
|
274 | 274 | ax.firsttime = True |
|
|
275 | 275 | self.axes.append(ax) |
|
|
276 | ||
|
|
277 | 276 | self.figure.subplots_adjust(hspace=0.5) |
|
|
278 | 277 | self.figure.show() |
|
|
279 | 278 | |
|
|
280 | 279 | def plot(self): |
|
|
281 | 280 | |
|
|
282 | 281 | self.x = np.array(self.times) |
|
|
283 | 282 | self.y = self.dataOut.getHeiRange() |
|
|
284 | 283 | self.z = [] |
|
|
285 | 284 | |
|
|
286 | 285 | for ch in range(self.nrows): |
|
|
287 | 286 | self.z.append([self.data[self.CODE][t][ch] for t in self.times]) |
|
|
288 | 287 | |
|
|
289 | 288 | self.z = np.array(self.z) |
|
|
290 | ||
|
|
291 | 289 | for n, ax in enumerate(self.axes): |
|
|
292 | 290 | |
|
|
293 | 291 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
294 | ||
|
|
292 | xmin = self.min_time | |
|
|
293 | xmax = xmin+self.xrange*60*60 | |
|
|
295 | 294 | if ax.firsttime: |
|
|
296 | 295 | self.ymin = self.ymin if self.ymin else np.nanmin(self.y) |
|
|
297 | 296 | self.ymax = self.ymax if self.ymax else np.nanmax(self.y) |
|
|
298 | 297 | self.zmin = self.zmin if self.zmin else np.nanmin(self.z) |
|
|
299 | zmax = self.zmax if self.zmax else np.nanmax(self.z) | |
|
|
298 | self.zmax = self.zmax if self.zmax else np.nanmax(self.z) | |
|
|
300 | 299 | plot = ax.pcolormesh(x, y, z[n].T, |
|
|
301 | 300 | vmin=self.zmin, |
|
|
302 | 301 | vmax=self.zmax, |
|
|
303 | 302 | cmap=plt.get_cmap(self.colormap) |
|
|
304 | 303 | ) |
|
|
305 | 304 | divider = make_axes_locatable(ax) |
|
|
306 | 305 | cax = divider.new_horizontal(size='2%', pad=0.05) |
|
|
307 | 306 | self.figure.add_axes(cax) |
|
|
308 | 307 | plt.colorbar(plot, cax) |
|
|
309 | 308 | ax.set_ylim(self.ymin, self.ymax) |
|
|
310 | if self.xaxis=='time': | |
|
|
309 | if self.xaxis == 'time': | |
|
|
311 | 310 | ax.xaxis.set_major_formatter(FuncFormatter(func)) |
|
|
312 | 311 | ax.xaxis.set_major_locator(LinearLocator(6)) |
|
|
313 | 312 | |
|
|
314 | ax.yaxis.set_major_locator(LinearLocator(4)) | |
|
|
313 | # ax.yaxis.set_major_locator(LinearLocator(4)) | |
|
|
315 | 314 | |
|
|
316 | 315 | ax.set_ylabel(self.ylabel) |
|
|
317 | 316 | |
|
|
318 | if self.xmin is None: | |
|
|
319 |
|
|
|
|
320 |
|
|
|
|
321 | else: | |
|
|
322 | ||
|
|
323 | xmin = (datetime.datetime.combine(self.dataOut.datatime.date(), | |
|
|
324 | datetime.time(self.xmin, 0, 0))-d1970).total_seconds() | |
|
|
325 | ||
|
|
326 | xmax = xmin+self.xrange*60*60 | |
|
|
317 | # if self.xmin is None: | |
|
|
318 | # xmin = self.min_time | |
|
|
319 | # else: | |
|
|
320 | # xmin = (datetime.datetime.combine(self.dataOut.datatime.date(), | |
|
|
321 | # datetime.time(self.xmin, 0, 0))-d1970).total_seconds() | |
|
|
327 | 322 | |
|
|
328 | 323 | ax.set_xlim(xmin, xmax) |
|
|
329 | 324 | ax.firsttime = False |
|
|
330 | 325 | else: |
|
|
331 | 326 | ax.collections.remove(ax.collections[0]) |
|
|
327 | ax.set_xlim(xmin, xmax) | |
|
|
332 | 328 | plot = ax.pcolormesh(x, y, z[n].T, |
|
|
333 | 329 | vmin=self.zmin, |
|
|
334 | 330 | vmax=self.zmax, |
|
|
335 | 331 | cmap=plt.get_cmap(self.colormap) |
|
|
336 | 332 | ) |
|
|
337 | 333 | ax.set_title('{} {}'.format(self.titles[n], |
|
|
338 | 334 | datetime.datetime.utcfromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')), |
|
|
339 | 335 | size=8) |
|
|
340 | 336 | |
|
|
341 | 337 | |
|
|
342 | 338 | class PlotCOHData(PlotRTIData): |
|
|
343 | 339 | |
|
|
344 | 340 | CODE = 'coh' |
|
|
345 | 341 | |
|
|
346 | 342 | def setup(self): |
|
|
347 | 343 | |
|
|
348 | 344 | self.ncols = 1 |
|
|
349 | 345 | self.nrows = self.dataOut.nPairs |
|
|
350 | 346 | self.width = 10 |
|
|
351 | 347 | self.height = 2.2*self.nrows |
|
|
352 | 348 | self.ylabel = 'Range [Km]' |
|
|
353 | 349 | self.titles = ['Channels {}'.format(x) for x in self.dataOut.pairsList] |
|
|
354 | 350 | |
|
|
355 | 351 | if self.figure is None: |
|
|
356 | 352 | self.figure = plt.figure(figsize=(self.width, self.height), |
|
|
357 | 353 | edgecolor='k', |
|
|
358 | 354 | facecolor='w') |
|
|
359 | 355 | else: |
|
|
360 | 356 | self.figure.clf() |
|
|
361 | 357 | |
|
|
362 | 358 | for n in range(self.nrows): |
|
|
363 | 359 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) |
|
|
364 | 360 | ax.firsttime = True |
|
|
365 | 361 | self.axes.append(ax) |
|
|
366 | 362 | |
|
|
367 | 363 | self.figure.subplots_adjust(hspace=0.5) |
|
|
368 | 364 | self.figure.show() |
|
|
369 | 365 | |
|
|
370 | 366 | class PlotSNRData(PlotRTIData): |
|
|
371 | 367 | |
|
|
372 |
CODE = ' |
|
|
|
368 | CODE = 'snr' | |
|
|
373 | 369 | |
|
|
370 | class PlotDOPData(PlotRTIData): | |
|
|
371 | CODE = 'dop' | |
|
|
372 | colormap = 'jet' | |
|
|
374 | 373 | |
|
|
375 | 374 | class PlotPHASEData(PlotCOHData): |
|
|
376 | 375 | |
|
|
377 | 376 | CODE = 'phase' |
|
|
378 | 377 | colormap = 'seismic' |
| This diff has been collapsed as it changes many lines, (1384 lines changed) Show them Hide them | |||
| @@ -1,2746 +1,2746 | |||
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|
1 | 1 | import numpy |
|
|
2 | 2 | import math |
|
|
3 | 3 | from scipy import optimize, interpolate, signal, stats, ndimage |
|
|
4 | 4 | import re |
|
|
5 | 5 | import datetime |
|
|
6 | 6 | import copy |
|
|
7 | 7 | import sys |
|
|
8 | 8 | import importlib |
|
|
9 | 9 | import itertools |
|
|
10 | 10 | |
|
|
11 | 11 | from jroproc_base import ProcessingUnit, Operation |
|
|
12 | 12 | from schainpy.model.data.jrodata import Parameters, hildebrand_sekhon |
|
|
13 | 13 | |
|
|
14 | 14 | |
|
|
15 | 15 | class ParametersProc(ProcessingUnit): |
|
|
16 | ||
|
|
16 | ||
|
|
17 | 17 | nSeconds = None |
|
|
18 | 18 | |
|
|
19 | 19 | def __init__(self): |
|
|
20 | 20 | ProcessingUnit.__init__(self) |
|
|
21 | ||
|
|
21 | ||
|
|
22 | 22 | # self.objectDict = {} |
|
|
23 | 23 | self.buffer = None |
|
|
24 | 24 | self.firstdatatime = None |
|
|
25 | 25 | self.profIndex = 0 |
|
|
26 | 26 | self.dataOut = Parameters() |
|
|
27 | ||
|
|
27 | ||
|
|
28 | 28 | def __updateObjFromInput(self): |
|
|
29 | ||
|
|
29 | ||
|
|
30 | 30 | self.dataOut.inputUnit = self.dataIn.type |
|
|
31 | ||
|
|
31 | ||
|
|
32 | 32 | self.dataOut.timeZone = self.dataIn.timeZone |
|
|
33 | 33 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
|
34 | 34 | self.dataOut.errorCount = self.dataIn.errorCount |
|
|
35 | 35 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
|
36 | ||
|
|
36 | ||
|
|
37 | 37 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() |
|
|
38 | 38 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() |
|
|
39 | 39 | self.dataOut.channelList = self.dataIn.channelList |
|
|
40 | 40 | self.dataOut.heightList = self.dataIn.heightList |
|
|
41 | 41 | self.dataOut.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
42 | 42 | # self.dataOut.nHeights = self.dataIn.nHeights |
|
|
43 | 43 | # self.dataOut.nChannels = self.dataIn.nChannels |
|
|
44 | 44 | self.dataOut.nBaud = self.dataIn.nBaud |
|
|
45 | 45 | self.dataOut.nCode = self.dataIn.nCode |
|
|
46 | 46 | self.dataOut.code = self.dataIn.code |
|
|
47 | 47 | # self.dataOut.nProfiles = self.dataOut.nFFTPoints |
|
|
48 | 48 | self.dataOut.flagDiscontinuousBlock = self.dataIn.flagDiscontinuousBlock |
|
|
49 | 49 | # self.dataOut.utctime = self.firstdatatime |
|
|
50 | 50 | self.dataOut.utctime = self.dataIn.utctime |
|
|
51 | 51 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada |
|
|
52 | 52 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip |
|
|
53 | 53 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
|
54 | 54 | # self.dataOut.nIncohInt = 1 |
|
|
55 | 55 | self.dataOut.ippSeconds = self.dataIn.ippSeconds |
|
|
56 | 56 | # self.dataOut.windowOfFilter = self.dataIn.windowOfFilter |
|
|
57 | 57 | self.dataOut.timeInterval = self.dataIn.timeInterval |
|
|
58 |
self.dataOut.heightList = self.dataIn.getHeiRange() |
|
|
|
58 | self.dataOut.heightList = self.dataIn.getHeiRange() | |
|
|
59 | 59 | self.dataOut.frequency = self.dataIn.frequency |
|
|
60 | 60 | self.dataOut.noise = self.dataIn.noise |
|
|
61 | ||
|
|
61 | ||
|
|
62 | 62 | def run(self): |
|
|
63 | ||
|
|
63 | ||
|
|
64 | 64 | #---------------------- Voltage Data --------------------------- |
|
|
65 | ||
|
|
65 | ||
|
|
66 | 66 | if self.dataIn.type == "Voltage": |
|
|
67 | 67 | |
|
|
68 | 68 | self.__updateObjFromInput() |
|
|
69 | 69 | self.dataOut.data_pre = self.dataIn.data.copy() |
|
|
70 | 70 | self.dataOut.flagNoData = False |
|
|
71 | 71 | self.dataOut.utctimeInit = self.dataIn.utctime |
|
|
72 |
self.dataOut.paramInterval = self.dataIn.nProfiles*self.dataIn.nCohInt*self.dataIn.ippSeconds |
|
|
|
72 | self.dataOut.paramInterval = self.dataIn.nProfiles*self.dataIn.nCohInt*self.dataIn.ippSeconds | |
|
|
73 | 73 | return |
|
|
74 | ||
|
|
74 | ||
|
|
75 | 75 | #---------------------- Spectra Data --------------------------- |
|
|
76 | ||
|
|
76 | ||
|
|
77 | 77 | if self.dataIn.type == "Spectra": |
|
|
78 | 78 | |
|
|
79 | 79 | self.dataOut.data_pre = (self.dataIn.data_spc,self.dataIn.data_cspc) |
|
|
80 | 80 | self.dataOut.abscissaList = self.dataIn.getVelRange(1) |
|
|
81 | 81 | # self.dataOut.noise = self.dataIn.getNoise() |
|
|
82 | 82 | self.dataOut.normFactor = self.dataIn.normFactor |
|
|
83 | 83 | self.dataOut.groupList = self.dataIn.pairsList |
|
|
84 | 84 | self.dataOut.flagNoData = False |
|
|
85 | ||
|
|
85 | ||
|
|
86 | 86 | #---------------------- Correlation Data --------------------------- |
|
|
87 | ||
|
|
87 | ||
|
|
88 | 88 | if self.dataIn.type == "Correlation": |
|
|
89 | 89 | acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.dataIn.splitFunctions() |
|
|
90 | ||
|
|
90 | ||
|
|
91 | 91 | self.dataOut.data_pre = (self.dataIn.data_cf[acf_ind,:], self.dataIn.data_cf[ccf_ind,:,:]) |
|
|
92 | 92 | self.dataOut.normFactor = (self.dataIn.normFactor[acf_ind,:], self.dataIn.normFactor[ccf_ind,:]) |
|
|
93 | 93 | self.dataOut.groupList = (acf_pairs, ccf_pairs) |
|
|
94 | ||
|
|
94 | ||
|
|
95 | 95 | self.dataOut.abscissaList = self.dataIn.lagRange |
|
|
96 | 96 | self.dataOut.noise = self.dataIn.noise |
|
|
97 | 97 | self.dataOut.data_SNR = self.dataIn.SNR |
|
|
98 | 98 | self.dataOut.flagNoData = False |
|
|
99 | 99 | self.dataOut.nAvg = self.dataIn.nAvg |
|
|
100 | ||
|
|
100 | ||
|
|
101 | 101 | #---------------------- Parameters Data --------------------------- |
|
|
102 | ||
|
|
102 | ||
|
|
103 | 103 | if self.dataIn.type == "Parameters": |
|
|
104 | 104 | self.dataOut.copy(self.dataIn) |
|
|
105 | 105 | self.dataOut.utctimeInit = self.dataIn.utctime |
|
|
106 | 106 | self.dataOut.flagNoData = False |
|
|
107 | ||
|
|
107 | ||
|
|
108 | 108 | return True |
|
|
109 | ||
|
|
109 | ||
|
|
110 | 110 | self.__updateObjFromInput() |
|
|
111 | 111 | self.dataOut.utctimeInit = self.dataIn.utctime |
|
|
112 | 112 | self.dataOut.paramInterval = self.dataIn.timeInterval |
|
|
113 | ||
|
|
113 | ||
|
|
114 | 114 | return |
|
|
115 | ||
|
|
115 | ||
|
|
116 | 116 | class SpectralMoments(Operation): |
|
|
117 | ||
|
|
117 | ||
|
|
118 | 118 | ''' |
|
|
119 | 119 | Function SpectralMoments() |
|
|
120 | ||
|
|
120 | ||
|
|
121 | 121 | Calculates moments (power, mean, standard deviation) and SNR of the signal |
|
|
122 | ||
|
|
122 | ||
|
|
123 | 123 | Type of dataIn: Spectra |
|
|
124 | ||
|
|
124 | ||
|
|
125 | 125 | Configuration Parameters: |
|
|
126 | ||
|
|
126 | ||
|
|
127 | 127 | dirCosx : Cosine director in X axis |
|
|
128 | 128 | dirCosy : Cosine director in Y axis |
|
|
129 | ||
|
|
129 | ||
|
|
130 | 130 | elevation : |
|
|
131 | 131 | azimuth : |
|
|
132 | ||
|
|
132 | ||
|
|
133 | 133 | Input: |
|
|
134 |
channelList : simple channel list to select e.g. [2,3,7] |
|
|
|
134 | channelList : simple channel list to select e.g. [2,3,7] | |
|
|
135 | 135 | self.dataOut.data_pre : Spectral data |
|
|
136 | 136 | self.dataOut.abscissaList : List of frequencies |
|
|
137 | 137 | self.dataOut.noise : Noise level per channel |
|
|
138 | ||
|
|
138 | ||
|
|
139 | 139 | Affected: |
|
|
140 | 140 | self.dataOut.data_param : Parameters per channel |
|
|
141 | 141 | self.dataOut.data_SNR : SNR per channel |
|
|
142 | ||
|
|
142 | ||
|
|
143 | 143 | ''' |
|
|
144 | ||
|
|
144 | ||
|
|
145 | 145 | def run(self, dataOut): |
|
|
146 | ||
|
|
146 | ||
|
|
147 | 147 | dataOut.data_pre = dataOut.data_pre[0] |
|
|
148 | 148 | data = dataOut.data_pre |
|
|
149 | 149 | absc = dataOut.abscissaList[:-1] |
|
|
150 | 150 | noise = dataOut.noise |
|
|
151 | 151 | nChannel = data.shape[0] |
|
|
152 | 152 | data_param = numpy.zeros((nChannel, 4, data.shape[2])) |
|
|
153 | ||
|
|
153 | ||
|
|
154 | 154 | for ind in range(nChannel): |
|
|
155 | 155 | data_param[ind,:,:] = self.__calculateMoments(data[ind,:,:], absc, noise[ind]) |
|
|
156 | ||
|
|
156 | ||
|
|
157 | 157 | dataOut.data_param = data_param[:,1:,:] |
|
|
158 | 158 | dataOut.data_SNR = data_param[:,0] |
|
|
159 | dataOut.data_DOP = data_param[:,1] | |
|
|
159 | 160 | return |
|
|
160 | ||
|
|
161 | ||
|
|
161 | 162 | def __calculateMoments(self, oldspec, oldfreq, n0, nicoh = None, graph = None, smooth = None, type1 = None, fwindow = None, snrth = None, dc = None, aliasing = None, oldfd = None, wwauto = None): |
|
|
162 | ||
|
|
163 | ||
|
|
163 | 164 | if (nicoh is None): nicoh = 1 |
|
|
164 |
if (graph is None): graph = 0 |
|
|
|
165 | if (graph is None): graph = 0 | |
|
|
165 | 166 | if (smooth is None): smooth = 0 |
|
|
166 | 167 | elif (self.smooth < 3): smooth = 0 |
|
|
167 | 168 | |
|
|
168 | 169 | if (type1 is None): type1 = 0 |
|
|
169 | 170 | if (fwindow is None): fwindow = numpy.zeros(oldfreq.size) + 1 |
|
|
170 | 171 | if (snrth is None): snrth = -3 |
|
|
171 | 172 | if (dc is None): dc = 0 |
|
|
172 | 173 | if (aliasing is None): aliasing = 0 |
|
|
173 | 174 | if (oldfd is None): oldfd = 0 |
|
|
174 | 175 | if (wwauto is None): wwauto = 0 |
|
|
175 | ||
|
|
176 | ||
|
|
176 | 177 | if (n0 < 1.e-20): n0 = 1.e-20 |
|
|
177 | ||
|
|
178 | ||
|
|
178 | 179 | freq = oldfreq |
|
|
179 | 180 | vec_power = numpy.zeros(oldspec.shape[1]) |
|
|
180 | 181 | vec_fd = numpy.zeros(oldspec.shape[1]) |
|
|
181 | 182 | vec_w = numpy.zeros(oldspec.shape[1]) |
|
|
182 | 183 | vec_snr = numpy.zeros(oldspec.shape[1]) |
|
|
183 | 184 | |
|
|
184 | 185 | for ind in range(oldspec.shape[1]): |
|
|
185 | ||
|
|
186 | ||
|
|
186 | 187 | spec = oldspec[:,ind] |
|
|
187 | 188 | aux = spec*fwindow |
|
|
188 | 189 | max_spec = aux.max() |
|
|
189 | 190 | m = list(aux).index(max_spec) |
|
|
190 | ||
|
|
191 |
#Smooth |
|
|
|
191 | ||
|
|
192 | #Smooth | |
|
|
192 | 193 | if (smooth == 0): spec2 = spec |
|
|
193 | 194 | else: spec2 = scipy.ndimage.filters.uniform_filter1d(spec,size=smooth) |
|
|
194 | ||
|
|
195 | ||
|
|
195 | 196 | # Calculo de Momentos |
|
|
196 | 197 | bb = spec2[range(m,spec2.size)] |
|
|
197 | 198 | bb = (bb<n0).nonzero() |
|
|
198 | 199 | bb = bb[0] |
|
|
199 | ||
|
|
200 | ||
|
|
200 | 201 | ss = spec2[range(0,m + 1)] |
|
|
201 | 202 | ss = (ss<n0).nonzero() |
|
|
202 | 203 | ss = ss[0] |
|
|
203 | ||
|
|
204 | ||
|
|
204 | 205 | if (bb.size == 0): |
|
|
205 | 206 | bb0 = spec.size - 1 - m |
|
|
206 |
else: |
|
|
|
207 | else: | |
|
|
207 | 208 | bb0 = bb[0] - 1 |
|
|
208 | 209 | if (bb0 < 0): |
|
|
209 | 210 | bb0 = 0 |
|
|
210 | ||
|
|
211 | ||
|
|
211 | 212 | if (ss.size == 0): ss1 = 1 |
|
|
212 | 213 | else: ss1 = max(ss) + 1 |
|
|
213 | ||
|
|
214 | ||
|
|
214 | 215 | if (ss1 > m): ss1 = m |
|
|
215 | ||
|
|
216 |
valid = numpy.asarray(range(int(m + bb0 - ss1 + 1))) + ss1 |
|
|
|
216 | ||
|
|
217 | valid = numpy.asarray(range(int(m + bb0 - ss1 + 1))) + ss1 | |
|
|
217 | 218 | power = ((spec2[valid] - n0)*fwindow[valid]).sum() |
|
|
218 | 219 | fd = ((spec2[valid]- n0)*freq[valid]*fwindow[valid]).sum()/power |
|
|
219 | 220 | w = math.sqrt(((spec2[valid] - n0)*fwindow[valid]*(freq[valid]- fd)**2).sum()/power) |
|
|
220 |
snr = (spec2.mean()-n0)/n0 |
|
|
|
221 | ||
|
|
222 |
if (snr < 1.e-20) : |
|
|
|
221 | snr = (spec2.mean()-n0)/n0 | |
|
|
222 | ||
|
|
223 | if (snr < 1.e-20) : | |
|
|
223 | 224 | snr = 1.e-20 |
|
|
224 | ||
|
|
225 | ||
|
|
225 | 226 | vec_power[ind] = power |
|
|
226 | 227 | vec_fd[ind] = fd |
|
|
227 | 228 | vec_w[ind] = w |
|
|
228 | 229 | vec_snr[ind] = snr |
|
|
229 | ||
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|
230 | ||
|
|
230 | 231 | moments = numpy.vstack((vec_snr, vec_power, vec_fd, vec_w)) |
|
|
231 | 232 | return moments |
|
|
232 | ||
|
|
233 | ||
|
|
233 | 234 | #------------------ Get SA Parameters -------------------------- |
|
|
234 | ||
|
|
235 | ||
|
|
235 | 236 | def GetSAParameters(self): |
|
|
236 | 237 | #SA en frecuencia |
|
|
237 | 238 | pairslist = self.dataOut.groupList |
|
|
238 | 239 | num_pairs = len(pairslist) |
|
|
239 | ||
|
|
240 | ||
|
|
240 | 241 | vel = self.dataOut.abscissaList |
|
|
241 | 242 | spectra = self.dataOut.data_pre |
|
|
242 | 243 | cspectra = self.dataIn.data_cspc |
|
|
243 |
delta_v = vel[1] - vel[0] |
|
|
|
244 | ||
|
|
244 | delta_v = vel[1] - vel[0] | |
|
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245 | ||
|
|
245 | 246 | #Calculating the power spectrum |
|
|
246 | 247 | spc_pow = numpy.sum(spectra, 3)*delta_v |
|
|
247 | 248 | #Normalizing Spectra |
|
|
248 | 249 | norm_spectra = spectra/spc_pow |
|
|
249 | 250 | #Calculating the norm_spectra at peak |
|
|
250 |
max_spectra = numpy.max(norm_spectra, 3) |
|
|
|
251 | ||
|
|
251 | max_spectra = numpy.max(norm_spectra, 3) | |
|
|
252 | ||
|
|
252 | 253 | #Normalizing Cross Spectra |
|
|
253 | 254 | norm_cspectra = numpy.zeros(cspectra.shape) |
|
|
254 | ||
|
|
255 | ||
|
|
255 | 256 | for i in range(num_chan): |
|
|
256 | 257 | norm_cspectra[i,:,:] = cspectra[i,:,:]/numpy.sqrt(spc_pow[pairslist[i][0],:]*spc_pow[pairslist[i][1],:]) |
|
|
257 | ||
|
|
258 | ||
|
|
258 | 259 | max_cspectra = numpy.max(norm_cspectra,2) |
|
|
259 | 260 | max_cspectra_index = numpy.argmax(norm_cspectra, 2) |
|
|
260 | ||
|
|
261 | ||
|
|
261 | 262 | for i in range(num_pairs): |
|
|
262 | 263 | cspc_par[i,:,:] = __calculateMoments(norm_cspectra) |
|
|
263 | 264 | #------------------- Get Lags ---------------------------------- |
|
|
264 | ||
|
|
265 | ||
|
|
265 | 266 | class SALags(Operation): |
|
|
266 | 267 | ''' |
|
|
267 | 268 | Function GetMoments() |
|
|
268 | 269 | |
|
|
269 | 270 | Input: |
|
|
270 | 271 | self.dataOut.data_pre |
|
|
271 | 272 | self.dataOut.abscissaList |
|
|
272 | 273 | self.dataOut.noise |
|
|
273 | 274 | self.dataOut.normFactor |
|
|
274 | 275 | self.dataOut.data_SNR |
|
|
275 | 276 | self.dataOut.groupList |
|
|
276 | 277 | self.dataOut.nChannels |
|
|
277 | ||
|
|
278 | ||
|
|
278 | 279 | Affected: |
|
|
279 | 280 | self.dataOut.data_param |
|
|
280 | ||
|
|
281 | ||
|
|
281 | 282 | ''' |
|
|
282 |
def run(self, dataOut): |
|
|
|
283 | def run(self, dataOut): | |
|
|
283 | 284 | data_acf = dataOut.data_pre[0] |
|
|
284 | 285 | data_ccf = dataOut.data_pre[1] |
|
|
285 | 286 | normFactor_acf = dataOut.normFactor[0] |
|
|
286 | 287 | normFactor_ccf = dataOut.normFactor[1] |
|
|
287 | 288 | pairs_acf = dataOut.groupList[0] |
|
|
288 | 289 | pairs_ccf = dataOut.groupList[1] |
|
|
289 | ||
|
|
290 | ||
|
|
290 | 291 | nHeights = dataOut.nHeights |
|
|
291 | 292 | absc = dataOut.abscissaList |
|
|
292 | 293 | noise = dataOut.noise |
|
|
293 | 294 | SNR = dataOut.data_SNR |
|
|
294 | 295 | nChannels = dataOut.nChannels |
|
|
295 | 296 | # pairsList = dataOut.groupList |
|
|
296 | 297 | # pairsAutoCorr, pairsCrossCorr = self.__getPairsAutoCorr(pairsList, nChannels) |
|
|
297 | 298 | |
|
|
298 | 299 | for l in range(len(pairs_acf)): |
|
|
299 | 300 | data_acf[l,:,:] = data_acf[l,:,:]/normFactor_acf[l,:] |
|
|
300 | ||
|
|
301 | ||
|
|
301 | 302 | for l in range(len(pairs_ccf)): |
|
|
302 | 303 | data_ccf[l,:,:] = data_ccf[l,:,:]/normFactor_ccf[l,:] |
|
|
303 | ||
|
|
304 | ||
|
|
304 | 305 | dataOut.data_param = numpy.zeros((len(pairs_ccf)*2 + 1, nHeights)) |
|
|
305 | 306 | dataOut.data_param[:-1,:] = self.__calculateTaus(data_acf, data_ccf, absc) |
|
|
306 | 307 | dataOut.data_param[-1,:] = self.__calculateLag1Phase(data_acf, absc) |
|
|
307 | 308 | return |
|
|
308 | ||
|
|
309 | ||
|
|
309 | 310 | # def __getPairsAutoCorr(self, pairsList, nChannels): |
|
|
310 |
# |
|
|
|
311 | # | |
|
|
311 | 312 | # pairsAutoCorr = numpy.zeros(nChannels, dtype = 'int')*numpy.nan |
|
|
312 | # | |
|
|
313 |
# for l in range(len(pairsList)): |
|
|
|
313 | # | |
|
|
314 | # for l in range(len(pairsList)): | |
|
|
314 | 315 | # firstChannel = pairsList[l][0] |
|
|
315 | 316 | # secondChannel = pairsList[l][1] |
|
|
316 | # | |
|
|
317 |
# #Obteniendo pares de Autocorrelacion |
|
|
|
317 | # | |
|
|
318 | # #Obteniendo pares de Autocorrelacion | |
|
|
318 | 319 | # if firstChannel == secondChannel: |
|
|
319 | 320 | # pairsAutoCorr[firstChannel] = int(l) |
|
|
320 | # | |
|
|
321 | # | |
|
|
321 | 322 | # pairsAutoCorr = pairsAutoCorr.astype(int) |
|
|
322 | # | |
|
|
323 | # | |
|
|
323 | 324 | # pairsCrossCorr = range(len(pairsList)) |
|
|
324 | 325 | # pairsCrossCorr = numpy.delete(pairsCrossCorr,pairsAutoCorr) |
|
|
325 | # | |
|
|
326 | # | |
|
|
326 | 327 | # return pairsAutoCorr, pairsCrossCorr |
|
|
327 | ||
|
|
328 | ||
|
|
328 | 329 | def __calculateTaus(self, data_acf, data_ccf, lagRange): |
|
|
329 | ||
|
|
330 | ||
|
|
330 | 331 | lag0 = data_acf.shape[1]/2 |
|
|
331 | 332 | #Funcion de Autocorrelacion |
|
|
332 | 333 | mean_acf = stats.nanmean(data_acf, axis = 0) |
|
|
333 | ||
|
|
334 | ||
|
|
334 | 335 | #Obtencion Indice de TauCross |
|
|
335 | 336 | ind_ccf = data_ccf.argmax(axis = 1) |
|
|
336 | 337 | #Obtencion Indice de TauAuto |
|
|
337 | 338 | ind_acf = numpy.zeros(ind_ccf.shape,dtype = 'int') |
|
|
338 | 339 | ccf_lag0 = data_ccf[:,lag0,:] |
|
|
339 | ||
|
|
340 | ||
|
|
340 | 341 | for i in range(ccf_lag0.shape[0]): |
|
|
341 | 342 | ind_acf[i,:] = numpy.abs(mean_acf - ccf_lag0[i,:]).argmin(axis = 0) |
|
|
342 | ||
|
|
343 | ||
|
|
343 | 344 | #Obtencion de TauCross y TauAuto |
|
|
344 | 345 | tau_ccf = lagRange[ind_ccf] |
|
|
345 | 346 | tau_acf = lagRange[ind_acf] |
|
|
346 | ||
|
|
347 | ||
|
|
347 | 348 | Nan1, Nan2 = numpy.where(tau_ccf == lagRange[0]) |
|
|
348 | ||
|
|
349 | ||
|
|
349 | 350 | tau_ccf[Nan1,Nan2] = numpy.nan |
|
|
350 | 351 | tau_acf[Nan1,Nan2] = numpy.nan |
|
|
351 | 352 | tau = numpy.vstack((tau_ccf,tau_acf)) |
|
|
352 | ||
|
|
353 | ||
|
|
353 | 354 | return tau |
|
|
354 | ||
|
|
355 | ||
|
|
355 | 356 | def __calculateLag1Phase(self, data, lagTRange): |
|
|
356 | 357 | data1 = stats.nanmean(data, axis = 0) |
|
|
357 | 358 | lag1 = numpy.where(lagTRange == 0)[0][0] + 1 |
|
|
358 | 359 | |
|
|
359 | 360 | phase = numpy.angle(data1[lag1,:]) |
|
|
360 | ||
|
|
361 | ||
|
|
361 | 362 | return phase |
|
|
362 | ||
|
|
363 | ||
|
|
363 | 364 | class SpectralFitting(Operation): |
|
|
364 | 365 | ''' |
|
|
365 | 366 | Function GetMoments() |
|
|
366 | ||
|
|
367 | ||
|
|
367 | 368 | Input: |
|
|
368 | 369 | Output: |
|
|
369 | 370 | Variables modified: |
|
|
370 | 371 | ''' |
|
|
371 | ||
|
|
372 |
def run(self, dataOut, getSNR = True, path=None, file=None, groupList=None): |
|
|
|
373 | ||
|
|
374 | ||
|
|
372 | ||
|
|
373 | def run(self, dataOut, getSNR = True, path=None, file=None, groupList=None): | |
|
|
374 | ||
|
|
375 | ||
|
|
375 | 376 | if path != None: |
|
|
376 | 377 | sys.path.append(path) |
|
|
377 | 378 | self.dataOut.library = importlib.import_module(file) |
|
|
378 | ||
|
|
379 | ||
|
|
379 | 380 | #To be inserted as a parameter |
|
|
380 | 381 | groupArray = numpy.array(groupList) |
|
|
381 |
# groupArray = numpy.array([[0,1],[2,3]]) |
|
|
|
382 | # groupArray = numpy.array([[0,1],[2,3]]) | |
|
|
382 | 383 | self.dataOut.groupList = groupArray |
|
|
383 | ||
|
|
384 | ||
|
|
384 | 385 | nGroups = groupArray.shape[0] |
|
|
385 | 386 | nChannels = self.dataIn.nChannels |
|
|
386 | 387 | nHeights=self.dataIn.heightList.size |
|
|
387 | ||
|
|
388 | ||
|
|
388 | 389 | #Parameters Array |
|
|
389 | 390 | self.dataOut.data_param = None |
|
|
390 | ||
|
|
391 | ||
|
|
391 | 392 | #Set constants |
|
|
392 | 393 | constants = self.dataOut.library.setConstants(self.dataIn) |
|
|
393 | 394 | self.dataOut.constants = constants |
|
|
394 | 395 | M = self.dataIn.normFactor |
|
|
395 | 396 | N = self.dataIn.nFFTPoints |
|
|
396 | 397 | ippSeconds = self.dataIn.ippSeconds |
|
|
397 | 398 | K = self.dataIn.nIncohInt |
|
|
398 | 399 | pairsArray = numpy.array(self.dataIn.pairsList) |
|
|
399 | ||
|
|
400 | ||
|
|
400 | 401 | #List of possible combinations |
|
|
401 | 402 | listComb = itertools.combinations(numpy.arange(groupArray.shape[1]),2) |
|
|
402 | 403 | indCross = numpy.zeros(len(list(listComb)), dtype = 'int') |
|
|
403 | ||
|
|
404 | ||
|
|
404 | 405 | if getSNR: |
|
|
405 | 406 | listChannels = groupArray.reshape((groupArray.size)) |
|
|
406 | 407 | listChannels.sort() |
|
|
407 | 408 | noise = self.dataIn.getNoise() |
|
|
408 | 409 | self.dataOut.data_SNR = self.__getSNR(self.dataIn.data_spc[listChannels,:,:], noise[listChannels]) |
|
|
409 | ||
|
|
410 |
for i in range(nGroups): |
|
|
|
410 | ||
|
|
411 | for i in range(nGroups): | |
|
|
411 | 412 | coord = groupArray[i,:] |
|
|
412 | ||
|
|
413 | ||
|
|
413 | 414 | #Input data array |
|
|
414 | 415 | data = self.dataIn.data_spc[coord,:,:]/(M*N) |
|
|
415 | 416 | data = data.reshape((data.shape[0]*data.shape[1],data.shape[2])) |
|
|
416 | ||
|
|
417 | ||
|
|
417 | 418 | #Cross Spectra data array for Covariance Matrixes |
|
|
418 | 419 | ind = 0 |
|
|
419 | 420 | for pairs in listComb: |
|
|
420 | 421 | pairsSel = numpy.array([coord[x],coord[y]]) |
|
|
421 | 422 | indCross[ind] = int(numpy.where(numpy.all(pairsArray == pairsSel, axis = 1))[0][0]) |
|
|
422 | 423 | ind += 1 |
|
|
423 | 424 | dataCross = self.dataIn.data_cspc[indCross,:,:]/(M*N) |
|
|
424 | 425 | dataCross = dataCross**2/K |
|
|
425 | ||
|
|
426 | ||
|
|
426 | 427 | for h in range(nHeights): |
|
|
427 | 428 | # print self.dataOut.heightList[h] |
|
|
428 | ||
|
|
429 | ||
|
|
429 | 430 | #Input |
|
|
430 | 431 | d = data[:,h] |
|
|
431 | 432 | |
|
|
432 | 433 | #Covariance Matrix |
|
|
433 | 434 | D = numpy.diag(d**2/K) |
|
|
434 | 435 | ind = 0 |
|
|
435 | 436 | for pairs in listComb: |
|
|
436 | 437 | #Coordinates in Covariance Matrix |
|
|
437 |
x = pairs[0] |
|
|
|
438 | x = pairs[0] | |
|
|
438 | 439 | y = pairs[1] |
|
|
439 | 440 | #Channel Index |
|
|
440 | 441 | S12 = dataCross[ind,:,h] |
|
|
441 | 442 | D12 = numpy.diag(S12) |
|
|
442 | 443 | #Completing Covariance Matrix with Cross Spectras |
|
|
443 | 444 | D[x*N:(x+1)*N,y*N:(y+1)*N] = D12 |
|
|
444 | 445 | D[y*N:(y+1)*N,x*N:(x+1)*N] = D12 |
|
|
445 | 446 | ind += 1 |
|
|
446 | 447 | Dinv=numpy.linalg.inv(D) |
|
|
447 | 448 | L=numpy.linalg.cholesky(Dinv) |
|
|
448 | 449 | LT=L.T |
|
|
449 | 450 | |
|
|
450 | 451 | dp = numpy.dot(LT,d) |
|
|
451 | ||
|
|
452 | ||
|
|
452 | 453 | #Initial values |
|
|
453 | 454 | data_spc = self.dataIn.data_spc[coord,:,h] |
|
|
454 | ||
|
|
455 | ||
|
|
455 | 456 | if (h>0)and(error1[3]<5): |
|
|
456 | 457 | p0 = self.dataOut.data_param[i,:,h-1] |
|
|
457 | 458 | else: |
|
|
458 | 459 | p0 = numpy.array(self.dataOut.library.initialValuesFunction(data_spc, constants, i)) |
|
|
459 | ||
|
|
460 | ||
|
|
460 | 461 | try: |
|
|
461 | 462 | #Least Squares |
|
|
462 | 463 | minp,covp,infodict,mesg,ier = optimize.leastsq(self.__residFunction,p0,args=(dp,LT,constants),full_output=True) |
|
|
463 | 464 | # minp,covp = optimize.leastsq(self.__residFunction,p0,args=(dp,LT,constants)) |
|
|
464 | 465 | #Chi square error |
|
|
465 | 466 | error0 = numpy.sum(infodict['fvec']**2)/(2*N) |
|
|
466 | 467 | #Error with Jacobian |
|
|
467 | 468 | error1 = self.dataOut.library.errorFunction(minp,constants,LT) |
|
|
468 | 469 | except: |
|
|
469 | 470 | minp = p0*numpy.nan |
|
|
470 | 471 | error0 = numpy.nan |
|
|
471 | 472 | error1 = p0*numpy.nan |
|
|
472 | ||
|
|
473 | ||
|
|
473 | 474 | #Save |
|
|
474 | 475 | if self.dataOut.data_param is None: |
|
|
475 | 476 | self.dataOut.data_param = numpy.zeros((nGroups, p0.size, nHeights))*numpy.nan |
|
|
476 | 477 | self.dataOut.data_error = numpy.zeros((nGroups, p0.size + 1, nHeights))*numpy.nan |
|
|
477 | ||
|
|
478 | ||
|
|
478 | 479 | self.dataOut.data_error[i,:,h] = numpy.hstack((error0,error1)) |
|
|
479 | 480 | self.dataOut.data_param[i,:,h] = minp |
|
|
480 | 481 | return |
|
|
481 | ||
|
|
482 | ||
|
|
482 | 483 | def __residFunction(self, p, dp, LT, constants): |
|
|
483 | 484 | |
|
|
484 | 485 | fm = self.dataOut.library.modelFunction(p, constants) |
|
|
485 | 486 | fmp=numpy.dot(LT,fm) |
|
|
486 | ||
|
|
487 | ||
|
|
487 | 488 | return dp-fmp |
|
|
488 | 489 | |
|
|
489 | 490 | def __getSNR(self, z, noise): |
|
|
490 | ||
|
|
491 | ||
|
|
491 | 492 | avg = numpy.average(z, axis=1) |
|
|
492 | 493 | SNR = (avg.T-noise)/noise |
|
|
493 | 494 | SNR = SNR.T |
|
|
494 | 495 | return SNR |
|
|
495 | ||
|
|
496 | ||
|
|
496 | 497 | def __chisq(p,chindex,hindex): |
|
|
497 | 498 | #similar to Resid but calculates CHI**2 |
|
|
498 | 499 | [LT,d,fm]=setupLTdfm(p,chindex,hindex) |
|
|
499 | 500 | dp=numpy.dot(LT,d) |
|
|
500 | 501 | fmp=numpy.dot(LT,fm) |
|
|
501 | 502 | chisq=numpy.dot((dp-fmp).T,(dp-fmp)) |
|
|
502 | 503 | return chisq |
|
|
503 | ||
|
|
504 | ||
|
|
504 | 505 | class WindProfiler(Operation): |
|
|
505 | ||
|
|
506 | ||
|
|
506 | 507 | __isConfig = False |
|
|
507 | ||
|
|
508 | ||
|
|
508 | 509 | __initime = None |
|
|
509 | 510 | __lastdatatime = None |
|
|
510 | 511 | __integrationtime = None |
|
|
511 | ||
|
|
512 | ||
|
|
512 | 513 | __buffer = None |
|
|
513 | ||
|
|
514 | ||
|
|
514 | 515 | __dataReady = False |
|
|
515 | ||
|
|
516 | ||
|
|
516 | 517 | __firstdata = None |
|
|
517 | ||
|
|
518 | ||
|
|
518 | 519 | n = None |
|
|
519 | ||
|
|
520 |
def __init__(self): |
|
|
|
520 | ||
|
|
521 | def __init__(self): | |
|
|
521 | 522 | Operation.__init__(self) |
|
|
522 | ||
|
|
523 | ||
|
|
523 | 524 | def __calculateCosDir(self, elev, azim): |
|
|
524 | 525 | zen = (90 - elev)*numpy.pi/180 |
|
|
525 | 526 | azim = azim*numpy.pi/180 |
|
|
526 |
cosDirX = numpy.sqrt((1-numpy.cos(zen)**2)/((1+numpy.tan(azim)**2))) |
|
|
|
527 | cosDirX = numpy.sqrt((1-numpy.cos(zen)**2)/((1+numpy.tan(azim)**2))) | |
|
|
527 | 528 | cosDirY = numpy.sqrt(1-numpy.cos(zen)**2-cosDirX**2) |
|
|
528 | ||
|
|
529 | ||
|
|
529 | 530 | signX = numpy.sign(numpy.cos(azim)) |
|
|
530 | 531 | signY = numpy.sign(numpy.sin(azim)) |
|
|
531 | ||
|
|
532 | ||
|
|
532 | 533 | cosDirX = numpy.copysign(cosDirX, signX) |
|
|
533 | 534 | cosDirY = numpy.copysign(cosDirY, signY) |
|
|
534 | 535 | return cosDirX, cosDirY |
|
|
535 | ||
|
|
536 | ||
|
|
536 | 537 | def __calculateAngles(self, theta_x, theta_y, azimuth): |
|
|
537 | ||
|
|
538 | ||
|
|
538 | 539 | dir_cosw = numpy.sqrt(1-theta_x**2-theta_y**2) |
|
|
539 | 540 | zenith_arr = numpy.arccos(dir_cosw) |
|
|
540 | 541 | azimuth_arr = numpy.arctan2(theta_x,theta_y) + azimuth*math.pi/180 |
|
|
541 | ||
|
|
542 | ||
|
|
542 | 543 | dir_cosu = numpy.sin(azimuth_arr)*numpy.sin(zenith_arr) |
|
|
543 | 544 | dir_cosv = numpy.cos(azimuth_arr)*numpy.sin(zenith_arr) |
|
|
544 | ||
|
|
545 | ||
|
|
545 | 546 | return azimuth_arr, zenith_arr, dir_cosu, dir_cosv, dir_cosw |
|
|
546 | 547 | |
|
|
547 | 548 | def __calculateMatA(self, dir_cosu, dir_cosv, dir_cosw, horOnly): |
|
|
548 | ||
|
|
549 | # | |
|
|
549 | ||
|
|
550 | # | |
|
|
550 | 551 | if horOnly: |
|
|
551 | 552 | A = numpy.c_[dir_cosu,dir_cosv] |
|
|
552 | 553 | else: |
|
|
553 | 554 | A = numpy.c_[dir_cosu,dir_cosv,dir_cosw] |
|
|
554 | 555 | A = numpy.asmatrix(A) |
|
|
555 | 556 | A1 = numpy.linalg.inv(A.transpose()*A)*A.transpose() |
|
|
556 | 557 | |
|
|
557 | 558 | return A1 |
|
|
558 | 559 | |
|
|
559 | 560 | def __correctValues(self, heiRang, phi, velRadial, SNR): |
|
|
560 | 561 | listPhi = phi.tolist() |
|
|
561 | 562 | maxid = listPhi.index(max(listPhi)) |
|
|
562 | 563 | minid = listPhi.index(min(listPhi)) |
|
|
563 | ||
|
|
564 |
rango = range(len(phi)) |
|
|
|
564 | ||
|
|
565 | rango = range(len(phi)) | |
|
|
565 | 566 | # rango = numpy.delete(rango,maxid) |
|
|
566 | ||
|
|
567 | ||
|
|
567 | 568 | heiRang1 = heiRang*math.cos(phi[maxid]) |
|
|
568 | 569 | heiRangAux = heiRang*math.cos(phi[minid]) |
|
|
569 | 570 | indOut = (heiRang1 < heiRangAux[0]).nonzero() |
|
|
570 | 571 | heiRang1 = numpy.delete(heiRang1,indOut) |
|
|
571 | ||
|
|
572 | ||
|
|
572 | 573 | velRadial1 = numpy.zeros([len(phi),len(heiRang1)]) |
|
|
573 | 574 | SNR1 = numpy.zeros([len(phi),len(heiRang1)]) |
|
|
574 | ||
|
|
575 | ||
|
|
575 | 576 | for i in rango: |
|
|
576 | 577 | x = heiRang*math.cos(phi[i]) |
|
|
577 | 578 | y1 = velRadial[i,:] |
|
|
578 | 579 | f1 = interpolate.interp1d(x,y1,kind = 'cubic') |
|
|
579 | ||
|
|
580 | ||
|
|
580 | 581 | x1 = heiRang1 |
|
|
581 | 582 | y11 = f1(x1) |
|
|
582 | ||
|
|
583 | ||
|
|
583 | 584 | y2 = SNR[i,:] |
|
|
584 | 585 | f2 = interpolate.interp1d(x,y2,kind = 'cubic') |
|
|
585 | 586 | y21 = f2(x1) |
|
|
586 | ||
|
|
587 | ||
|
|
587 | 588 | velRadial1[i,:] = y11 |
|
|
588 | 589 | SNR1[i,:] = y21 |
|
|
589 | ||
|
|
590 | ||
|
|
590 | 591 | return heiRang1, velRadial1, SNR1 |
|
|
591 | 592 | |
|
|
592 | 593 | def __calculateVelUVW(self, A, velRadial): |
|
|
593 | ||
|
|
594 | ||
|
|
594 | 595 | #Operacion Matricial |
|
|
595 | 596 | # velUVW = numpy.zeros((velRadial.shape[1],3)) |
|
|
596 | 597 | # for ind in range(velRadial.shape[1]): |
|
|
597 | 598 | # velUVW[ind,:] = numpy.dot(A,velRadial[:,ind]) |
|
|
598 | 599 | # velUVW = velUVW.transpose() |
|
|
599 | 600 | velUVW = numpy.zeros((A.shape[0],velRadial.shape[1])) |
|
|
600 | 601 | velUVW[:,:] = numpy.dot(A,velRadial) |
|
|
601 | ||
|
|
602 | ||
|
|
602 | ||
|
|
603 | ||
|
|
603 | 604 | return velUVW |
|
|
604 | ||
|
|
605 | ||
|
|
605 | 606 | # def techniqueDBS(self, velRadial0, dirCosx, disrCosy, azimuth, correct, horizontalOnly, heiRang, SNR0): |
|
|
606 | ||
|
|
607 | ||
|
|
607 | 608 | def techniqueDBS(self, kwargs): |
|
|
608 | 609 | """ |
|
|
609 | 610 | Function that implements Doppler Beam Swinging (DBS) technique. |
|
|
610 | ||
|
|
611 | ||
|
|
611 | 612 | Input: Radial velocities, Direction cosines (x and y) of the Beam, Antenna azimuth, |
|
|
612 | 613 | Direction correction (if necessary), Ranges and SNR |
|
|
613 | ||
|
|
614 | ||
|
|
614 | 615 | Output: Winds estimation (Zonal, Meridional and Vertical) |
|
|
615 | ||
|
|
616 | ||
|
|
616 | 617 | Parameters affected: Winds, height range, SNR |
|
|
617 | 618 | """ |
|
|
618 | 619 | velRadial0 = kwargs['velRadial'] |
|
|
619 | 620 | heiRang = kwargs['heightList'] |
|
|
620 | 621 | SNR0 = kwargs['SNR'] |
|
|
621 | ||
|
|
622 | ||
|
|
622 | 623 | if kwargs.has_key('dirCosx') and kwargs.has_key('dirCosy'): |
|
|
623 | 624 | theta_x = numpy.array(kwargs['dirCosx']) |
|
|
624 | 625 | theta_y = numpy.array(kwargs['dirCosy']) |
|
|
625 | 626 | else: |
|
|
626 | 627 | elev = numpy.array(kwargs['elevation']) |
|
|
627 | 628 | azim = numpy.array(kwargs['azimuth']) |
|
|
628 | 629 | theta_x, theta_y = self.__calculateCosDir(elev, azim) |
|
|
629 |
azimuth = kwargs['correctAzimuth'] |
|
|
|
630 | azimuth = kwargs['correctAzimuth'] | |
|
|
630 | 631 | if kwargs.has_key('horizontalOnly'): |
|
|
631 | 632 | horizontalOnly = kwargs['horizontalOnly'] |
|
|
632 | 633 | else: horizontalOnly = False |
|
|
633 | 634 | if kwargs.has_key('correctFactor'): |
|
|
634 | 635 | correctFactor = kwargs['correctFactor'] |
|
|
635 | 636 | else: correctFactor = 1 |
|
|
636 | 637 | if kwargs.has_key('channelList'): |
|
|
637 | 638 | channelList = kwargs['channelList'] |
|
|
638 | 639 | if len(channelList) == 2: |
|
|
639 | 640 | horizontalOnly = True |
|
|
640 | 641 | arrayChannel = numpy.array(channelList) |
|
|
641 | 642 | param = param[arrayChannel,:,:] |
|
|
642 | 643 | theta_x = theta_x[arrayChannel] |
|
|
643 | 644 | theta_y = theta_y[arrayChannel] |
|
|
644 | ||
|
|
645 |
azimuth_arr, zenith_arr, dir_cosu, dir_cosv, dir_cosw = self.__calculateAngles(theta_x, theta_y, azimuth) |
|
|
|
646 |
heiRang1, velRadial1, SNR1 = self.__correctValues(heiRang, zenith_arr, correctFactor*velRadial0, SNR0) |
|
|
|
645 | ||
|
|
646 | azimuth_arr, zenith_arr, dir_cosu, dir_cosv, dir_cosw = self.__calculateAngles(theta_x, theta_y, azimuth) | |
|
|
647 | heiRang1, velRadial1, SNR1 = self.__correctValues(heiRang, zenith_arr, correctFactor*velRadial0, SNR0) | |
|
|
647 | 648 | A = self.__calculateMatA(dir_cosu, dir_cosv, dir_cosw, horizontalOnly) |
|
|
648 | ||
|
|
649 | ||
|
|
649 | 650 | #Calculo de Componentes de la velocidad con DBS |
|
|
650 | 651 | winds = self.__calculateVelUVW(A,velRadial1) |
|
|
651 | ||
|
|
652 | ||
|
|
652 | 653 | return winds, heiRang1, SNR1 |
|
|
653 | ||
|
|
654 | ||
|
|
654 | 655 | def __calculateDistance(self, posx, posy, pairs_ccf, azimuth = None): |
|
|
655 | ||
|
|
656 | ||
|
|
656 | 657 | nPairs = len(pairs_ccf) |
|
|
657 | 658 | posx = numpy.asarray(posx) |
|
|
658 | 659 | posy = numpy.asarray(posy) |
|
|
659 | ||
|
|
660 | ||
|
|
660 | 661 | #Rotacion Inversa para alinear con el azimuth |
|
|
661 | 662 | if azimuth!= None: |
|
|
662 | 663 | azimuth = azimuth*math.pi/180 |
|
|
663 | 664 | posx1 = posx*math.cos(azimuth) + posy*math.sin(azimuth) |
|
|
664 | 665 | posy1 = -posx*math.sin(azimuth) + posy*math.cos(azimuth) |
|
|
665 | 666 | else: |
|
|
666 | 667 | posx1 = posx |
|
|
667 | 668 | posy1 = posy |
|
|
668 | ||
|
|
669 | ||
|
|
669 | 670 | #Calculo de Distancias |
|
|
670 | 671 | distx = numpy.zeros(nPairs) |
|
|
671 | 672 | disty = numpy.zeros(nPairs) |
|
|
672 | 673 | dist = numpy.zeros(nPairs) |
|
|
673 | 674 | ang = numpy.zeros(nPairs) |
|
|
674 | ||
|
|
675 | ||
|
|
675 | 676 | for i in range(nPairs): |
|
|
676 | 677 | distx[i] = posx1[pairs_ccf[i][1]] - posx1[pairs_ccf[i][0]] |
|
|
677 |
disty[i] = posy1[pairs_ccf[i][1]] - posy1[pairs_ccf[i][0]] |
|
|
|
678 | disty[i] = posy1[pairs_ccf[i][1]] - posy1[pairs_ccf[i][0]] | |
|
|
678 | 679 | dist[i] = numpy.sqrt(distx[i]**2 + disty[i]**2) |
|
|
679 | 680 | ang[i] = numpy.arctan2(disty[i],distx[i]) |
|
|
680 | ||
|
|
681 | ||
|
|
681 | 682 | return distx, disty, dist, ang |
|
|
682 |
#Calculo de Matrices |
|
|
|
683 | #Calculo de Matrices | |
|
|
683 | 684 | # nPairs = len(pairs) |
|
|
684 | 685 | # ang1 = numpy.zeros((nPairs, 2, 1)) |
|
|
685 | 686 | # dist1 = numpy.zeros((nPairs, 2, 1)) |
|
|
686 | # | |
|
|
687 | # | |
|
|
687 | 688 | # for j in range(nPairs): |
|
|
688 | 689 | # dist1[j,0,0] = dist[pairs[j][0]] |
|
|
689 | 690 | # dist1[j,1,0] = dist[pairs[j][1]] |
|
|
690 | 691 | # ang1[j,0,0] = ang[pairs[j][0]] |
|
|
691 | 692 | # ang1[j,1,0] = ang[pairs[j][1]] |
|
|
692 | # | |
|
|
693 | # | |
|
|
693 | 694 | # return distx,disty, dist1,ang1 |
|
|
694 | 695 | |
|
|
695 | ||
|
|
696 | ||
|
|
696 | 697 | def __calculateVelVer(self, phase, lagTRange, _lambda): |
|
|
697 | 698 | |
|
|
698 | 699 | Ts = lagTRange[1] - lagTRange[0] |
|
|
699 | 700 | velW = -_lambda*phase/(4*math.pi*Ts) |
|
|
700 | ||
|
|
701 | ||
|
|
701 | 702 | return velW |
|
|
702 | ||
|
|
703 | ||
|
|
703 | 704 | def __calculateVelHorDir(self, dist, tau1, tau2, ang): |
|
|
704 | 705 | nPairs = tau1.shape[0] |
|
|
705 | 706 | nHeights = tau1.shape[1] |
|
|
706 |
vel = numpy.zeros((nPairs,3,nHeights)) |
|
|
|
707 | vel = numpy.zeros((nPairs,3,nHeights)) | |
|
|
707 | 708 | dist1 = numpy.reshape(dist, (dist.size,1)) |
|
|
708 | ||
|
|
709 | ||
|
|
709 | 710 | angCos = numpy.cos(ang) |
|
|
710 | 711 | angSin = numpy.sin(ang) |
|
|
711 | ||
|
|
712 |
vel0 = dist1*tau1/(2*tau2**2) |
|
|
|
712 | ||
|
|
713 | vel0 = dist1*tau1/(2*tau2**2) | |
|
|
713 | 714 | vel[:,0,:] = (vel0*angCos).sum(axis = 1) |
|
|
714 | 715 | vel[:,1,:] = (vel0*angSin).sum(axis = 1) |
|
|
715 | ||
|
|
716 | ||
|
|
716 | 717 | ind = numpy.where(numpy.isinf(vel)) |
|
|
717 | 718 | vel[ind] = numpy.nan |
|
|
718 | ||
|
|
719 | ||
|
|
719 | 720 | return vel |
|
|
720 | ||
|
|
721 | ||
|
|
721 | 722 | # def __getPairsAutoCorr(self, pairsList, nChannels): |
|
|
722 |
# |
|
|
|
723 | # | |
|
|
723 | 724 | # pairsAutoCorr = numpy.zeros(nChannels, dtype = 'int')*numpy.nan |
|
|
724 | # | |
|
|
725 |
# for l in range(len(pairsList)): |
|
|
|
725 | # | |
|
|
726 | # for l in range(len(pairsList)): | |
|
|
726 | 727 | # firstChannel = pairsList[l][0] |
|
|
727 | 728 | # secondChannel = pairsList[l][1] |
|
|
728 | # | |
|
|
729 |
# #Obteniendo pares de Autocorrelacion |
|
|
|
729 | # | |
|
|
730 | # #Obteniendo pares de Autocorrelacion | |
|
|
730 | 731 | # if firstChannel == secondChannel: |
|
|
731 | 732 | # pairsAutoCorr[firstChannel] = int(l) |
|
|
732 | # | |
|
|
733 | # | |
|
|
733 | 734 | # pairsAutoCorr = pairsAutoCorr.astype(int) |
|
|
734 | # | |
|
|
735 | # | |
|
|
735 | 736 | # pairsCrossCorr = range(len(pairsList)) |
|
|
736 | 737 | # pairsCrossCorr = numpy.delete(pairsCrossCorr,pairsAutoCorr) |
|
|
737 | # | |
|
|
738 | # | |
|
|
738 | 739 | # return pairsAutoCorr, pairsCrossCorr |
|
|
739 | ||
|
|
740 | ||
|
|
740 | 741 | # def techniqueSA(self, pairsSelected, pairsList, nChannels, tau, azimuth, _lambda, position_x, position_y, lagTRange, correctFactor): |
|
|
741 | 742 | def techniqueSA(self, kwargs): |
|
|
742 | ||
|
|
743 |
""" |
|
|
|
743 | ||
|
|
744 | """ | |
|
|
744 | 745 | Function that implements Spaced Antenna (SA) technique. |
|
|
745 | ||
|
|
746 | ||
|
|
746 | 747 | Input: Radial velocities, Direction cosines (x and y) of the Beam, Antenna azimuth, |
|
|
747 | 748 | Direction correction (if necessary), Ranges and SNR |
|
|
748 | ||
|
|
749 | ||
|
|
749 | 750 | Output: Winds estimation (Zonal, Meridional and Vertical) |
|
|
750 | ||
|
|
751 | ||
|
|
751 | 752 | Parameters affected: Winds |
|
|
752 | 753 | """ |
|
|
753 | 754 | position_x = kwargs['positionX'] |
|
|
754 | 755 | position_y = kwargs['positionY'] |
|
|
755 | 756 | azimuth = kwargs['azimuth'] |
|
|
756 | ||
|
|
757 | ||
|
|
757 | 758 | if kwargs.has_key('correctFactor'): |
|
|
758 | 759 | correctFactor = kwargs['correctFactor'] |
|
|
759 | 760 | else: |
|
|
760 | 761 | correctFactor = 1 |
|
|
761 | ||
|
|
762 | ||
|
|
762 | 763 | groupList = kwargs['groupList'] |
|
|
763 | 764 | pairs_ccf = groupList[1] |
|
|
764 | 765 | tau = kwargs['tau'] |
|
|
765 | 766 | _lambda = kwargs['_lambda'] |
|
|
766 | ||
|
|
767 | ||
|
|
767 | 768 | #Cross Correlation pairs obtained |
|
|
768 | 769 | # pairsAutoCorr, pairsCrossCorr = self.__getPairsAutoCorr(pairssList, nChannels) |
|
|
769 | 770 | # pairsArray = numpy.array(pairsList)[pairsCrossCorr] |
|
|
770 | 771 | # pairsSelArray = numpy.array(pairsSelected) |
|
|
771 | 772 | # pairs = [] |
|
|
772 | # | |
|
|
773 | # | |
|
|
773 | 774 | # #Wind estimation pairs obtained |
|
|
774 | 775 | # for i in range(pairsSelArray.shape[0]/2): |
|
|
775 | 776 | # ind1 = numpy.where(numpy.all(pairsArray == pairsSelArray[2*i], axis = 1))[0][0] |
|
|
776 | 777 | # ind2 = numpy.where(numpy.all(pairsArray == pairsSelArray[2*i + 1], axis = 1))[0][0] |
|
|
777 | 778 | # pairs.append((ind1,ind2)) |
|
|
778 | ||
|
|
779 | ||
|
|
779 | 780 | indtau = tau.shape[0]/2 |
|
|
780 | 781 | tau1 = tau[:indtau,:] |
|
|
781 | 782 | tau2 = tau[indtau:-1,:] |
|
|
782 | 783 | # tau1 = tau1[pairs,:] |
|
|
783 | 784 | # tau2 = tau2[pairs,:] |
|
|
784 | 785 | phase1 = tau[-1,:] |
|
|
785 | ||
|
|
786 | ||
|
|
786 | 787 | #--------------------------------------------------------------------- |
|
|
787 |
#Metodo Directo |
|
|
|
788 | #Metodo Directo | |
|
|
788 | 789 | distx, disty, dist, ang = self.__calculateDistance(position_x, position_y, pairs_ccf,azimuth) |
|
|
789 | 790 | winds = self.__calculateVelHorDir(dist, tau1, tau2, ang) |
|
|
790 | 791 | winds = stats.nanmean(winds, axis=0) |
|
|
791 | 792 | #--------------------------------------------------------------------- |
|
|
792 | 793 | #Metodo General |
|
|
793 | 794 | # distx, disty, dist = self.calculateDistance(position_x,position_y,pairsCrossCorr, pairsList, azimuth) |
|
|
794 | 795 | # #Calculo Coeficientes de Funcion de Correlacion |
|
|
795 | 796 | # F,G,A,B,H = self.calculateCoef(tau1,tau2,distx,disty,n) |
|
|
796 | 797 | # #Calculo de Velocidades |
|
|
797 | 798 | # winds = self.calculateVelUV(F,G,A,B,H) |
|
|
798 | 799 | |
|
|
799 | 800 | #--------------------------------------------------------------------- |
|
|
800 | 801 | winds[2,:] = self.__calculateVelVer(phase1, lagTRange, _lambda) |
|
|
801 | 802 | winds = correctFactor*winds |
|
|
802 | 803 | return winds |
|
|
803 | ||
|
|
804 | ||
|
|
804 | 805 | def __checkTime(self, currentTime, paramInterval, outputInterval): |
|
|
805 | ||
|
|
806 | ||
|
|
806 | 807 | dataTime = currentTime + paramInterval |
|
|
807 | 808 | deltaTime = dataTime - self.__initime |
|
|
808 | ||
|
|
809 | ||
|
|
809 | 810 | if deltaTime >= outputInterval or deltaTime < 0: |
|
|
810 | 811 | self.__dataReady = True |
|
|
811 |
return |
|
|
|
812 | ||
|
|
812 | return | |
|
|
813 | ||
|
|
813 | 814 | def techniqueMeteors(self, arrayMeteor, meteorThresh, heightMin, heightMax, binkm=2): |
|
|
814 | 815 | ''' |
|
|
815 | 816 | Function that implements winds estimation technique with detected meteors. |
|
|
816 | ||
|
|
817 | ||
|
|
817 | 818 | Input: Detected meteors, Minimum meteor quantity to wind estimation |
|
|
818 | ||
|
|
819 | ||
|
|
819 | 820 | Output: Winds estimation (Zonal and Meridional) |
|
|
820 | ||
|
|
821 | ||
|
|
821 | 822 | Parameters affected: Winds |
|
|
822 |
''' |
|
|
|
823 |
# print arrayMeteor.shape |
|
|
|
823 | ''' | |
|
|
824 | # print arrayMeteor.shape | |
|
|
824 | 825 | #Settings |
|
|
825 | 826 | nInt = (heightMax - heightMin)/binkm |
|
|
826 | 827 | # print nInt |
|
|
827 | 828 | nInt = int(nInt) |
|
|
828 | 829 | # print nInt |
|
|
829 |
winds = numpy.zeros((2,nInt))*numpy.nan |
|
|
|
830 | ||
|
|
830 | winds = numpy.zeros((2,nInt))*numpy.nan | |
|
|
831 | ||
|
|
831 | 832 | #Filter errors |
|
|
832 | 833 | error = numpy.where(arrayMeteor[:,-1] == 0)[0] |
|
|
833 | 834 | finalMeteor = arrayMeteor[error,:] |
|
|
834 | ||
|
|
835 | ||
|
|
835 | 836 | #Meteor Histogram |
|
|
836 | 837 | finalHeights = finalMeteor[:,2] |
|
|
837 | 838 | hist = numpy.histogram(finalHeights, bins = nInt, range = (heightMin,heightMax)) |
|
|
838 | 839 | nMeteorsPerI = hist[0] |
|
|
839 | 840 | heightPerI = hist[1] |
|
|
840 | ||
|
|
841 | ||
|
|
841 | 842 | #Sort of meteors |
|
|
842 | 843 | indSort = finalHeights.argsort() |
|
|
843 | 844 | finalMeteor2 = finalMeteor[indSort,:] |
|
|
844 | ||
|
|
845 | ||
|
|
845 | 846 | # Calculating winds |
|
|
846 | 847 | ind1 = 0 |
|
|
847 |
ind2 = 0 |
|
|
|
848 | ||
|
|
848 | ind2 = 0 | |
|
|
849 | ||
|
|
849 | 850 | for i in range(nInt): |
|
|
850 | 851 | nMet = nMeteorsPerI[i] |
|
|
851 | 852 | ind1 = ind2 |
|
|
852 | 853 | ind2 = ind1 + nMet |
|
|
853 | ||
|
|
854 | ||
|
|
854 | 855 | meteorAux = finalMeteor2[ind1:ind2,:] |
|
|
855 | ||
|
|
856 | ||
|
|
856 | 857 | if meteorAux.shape[0] >= meteorThresh: |
|
|
857 | 858 | vel = meteorAux[:, 6] |
|
|
858 | 859 | zen = meteorAux[:, 4]*numpy.pi/180 |
|
|
859 | 860 | azim = meteorAux[:, 3]*numpy.pi/180 |
|
|
860 | ||
|
|
861 | ||
|
|
861 | 862 | n = numpy.cos(zen) |
|
|
862 | 863 | # m = (1 - n**2)/(1 - numpy.tan(azim)**2) |
|
|
863 | 864 | # l = m*numpy.tan(azim) |
|
|
864 | 865 | l = numpy.sin(zen)*numpy.sin(azim) |
|
|
865 | 866 | m = numpy.sin(zen)*numpy.cos(azim) |
|
|
866 | ||
|
|
867 | ||
|
|
867 | 868 | A = numpy.vstack((l, m)).transpose() |
|
|
868 | 869 | A1 = numpy.dot(numpy.linalg.inv( numpy.dot(A.transpose(),A) ),A.transpose()) |
|
|
869 | 870 | windsAux = numpy.dot(A1, vel) |
|
|
870 | ||
|
|
871 | ||
|
|
871 | 872 | winds[0,i] = windsAux[0] |
|
|
872 | 873 | winds[1,i] = windsAux[1] |
|
|
873 | ||
|
|
874 | ||
|
|
874 | 875 | return winds, heightPerI[:-1] |
|
|
875 | ||
|
|
876 | ||
|
|
876 | 877 | def techniqueNSM_SA(self, **kwargs): |
|
|
877 | 878 | metArray = kwargs['metArray'] |
|
|
878 | 879 | heightList = kwargs['heightList'] |
|
|
879 | 880 | timeList = kwargs['timeList'] |
|
|
880 | ||
|
|
881 | ||
|
|
881 | 882 | rx_location = kwargs['rx_location'] |
|
|
882 | 883 | groupList = kwargs['groupList'] |
|
|
883 | 884 | azimuth = kwargs['azimuth'] |
|
|
884 | 885 | dfactor = kwargs['dfactor'] |
|
|
885 | 886 | k = kwargs['k'] |
|
|
886 | ||
|
|
887 | ||
|
|
887 | 888 | azimuth1, dist = self.__calculateAzimuth1(rx_location, groupList, azimuth) |
|
|
888 | 889 | d = dist*dfactor |
|
|
889 | 890 | #Phase calculation |
|
|
890 | 891 | metArray1 = self.__getPhaseSlope(metArray, heightList, timeList) |
|
|
891 | ||
|
|
892 | ||
|
|
892 | 893 | metArray1[:,-2] = metArray1[:,-2]*metArray1[:,2]*1000/(k*d[metArray1[:,1].astype(int)]) #angles into velocities |
|
|
893 | ||
|
|
894 | ||
|
|
894 | 895 | velEst = numpy.zeros((heightList.size,2))*numpy.nan |
|
|
895 | 896 | azimuth1 = azimuth1*numpy.pi/180 |
|
|
896 | ||
|
|
897 | ||
|
|
897 | 898 | for i in range(heightList.size): |
|
|
898 | 899 | h = heightList[i] |
|
|
899 | 900 | indH = numpy.where((metArray1[:,2] == h)&(numpy.abs(metArray1[:,-2]) < 100))[0] |
|
|
900 | 901 | metHeight = metArray1[indH,:] |
|
|
901 | 902 | if metHeight.shape[0] >= 2: |
|
|
902 | 903 | velAux = numpy.asmatrix(metHeight[:,-2]).T #Radial Velocities |
|
|
903 | 904 | iazim = metHeight[:,1].astype(int) |
|
|
904 | 905 | azimAux = numpy.asmatrix(azimuth1[iazim]).T #Azimuths |
|
|
905 | 906 | A = numpy.hstack((numpy.cos(azimAux),numpy.sin(azimAux))) |
|
|
906 | 907 | A = numpy.asmatrix(A) |
|
|
907 | 908 | A1 = numpy.linalg.pinv(A.transpose()*A)*A.transpose() |
|
|
908 | 909 | velHor = numpy.dot(A1,velAux) |
|
|
909 | ||
|
|
910 | ||
|
|
910 | 911 | velEst[i,:] = numpy.squeeze(velHor) |
|
|
911 | 912 | return velEst |
|
|
912 | ||
|
|
913 | ||
|
|
913 | 914 | def __getPhaseSlope(self, metArray, heightList, timeList): |
|
|
914 | 915 | meteorList = [] |
|
|
915 | 916 | #utctime sec1 height SNR velRad ph0 ph1 ph2 coh0 coh1 coh2 |
|
|
916 | 917 | #Putting back together the meteor matrix |
|
|
917 | 918 | utctime = metArray[:,0] |
|
|
918 | 919 | uniqueTime = numpy.unique(utctime) |
|
|
919 | ||
|
|
920 | ||
|
|
920 | 921 | phaseDerThresh = 0.5 |
|
|
921 | 922 | ippSeconds = timeList[1] - timeList[0] |
|
|
922 | 923 | sec = numpy.where(timeList>1)[0][0] |
|
|
923 | 924 | nPairs = metArray.shape[1] - 6 |
|
|
924 | 925 | nHeights = len(heightList) |
|
|
925 | ||
|
|
926 | ||
|
|
926 | 927 | for t in uniqueTime: |
|
|
927 | 928 | metArray1 = metArray[utctime==t,:] |
|
|
928 | 929 | # phaseDerThresh = numpy.pi/4 #reducir Phase thresh |
|
|
929 | 930 | tmet = metArray1[:,1].astype(int) |
|
|
930 | 931 | hmet = metArray1[:,2].astype(int) |
|
|
931 | ||
|
|
932 | ||
|
|
932 | 933 | metPhase = numpy.zeros((nPairs, heightList.size, timeList.size - 1)) |
|
|
933 | 934 | metPhase[:,:] = numpy.nan |
|
|
934 | 935 | metPhase[:,hmet,tmet] = metArray1[:,6:].T |
|
|
935 | ||
|
|
936 | ||
|
|
936 | 937 | #Delete short trails |
|
|
937 | 938 | metBool = ~numpy.isnan(metPhase[0,:,:]) |
|
|
938 | 939 | heightVect = numpy.sum(metBool, axis = 1) |
|
|
939 | 940 | metBool[heightVect<sec,:] = False |
|
|
940 | 941 | metPhase[:,heightVect<sec,:] = numpy.nan |
|
|
941 | ||
|
|
942 | ||
|
|
942 | 943 | #Derivative |
|
|
943 | 944 | metDer = numpy.abs(metPhase[:,:,1:] - metPhase[:,:,:-1]) |
|
|
944 | 945 | phDerAux = numpy.dstack((numpy.full((nPairs,nHeights,1), False, dtype=bool),metDer > phaseDerThresh)) |
|
|
945 | 946 | metPhase[phDerAux] = numpy.nan |
|
|
946 | ||
|
|
947 | ||
|
|
947 | 948 | #--------------------------METEOR DETECTION ----------------------------------------- |
|
|
948 | 949 | indMet = numpy.where(numpy.any(metBool,axis=1))[0] |
|
|
949 | ||
|
|
950 | ||
|
|
950 | 951 | for p in numpy.arange(nPairs): |
|
|
951 | 952 | phase = metPhase[p,:,:] |
|
|
952 | 953 | phDer = metDer[p,:,:] |
|
|
953 | ||
|
|
954 | ||
|
|
954 | 955 | for h in indMet: |
|
|
955 | 956 | height = heightList[h] |
|
|
956 | 957 | phase1 = phase[h,:] #82 |
|
|
957 | 958 | phDer1 = phDer[h,:] |
|
|
958 | ||
|
|
959 | ||
|
|
959 | 960 | phase1[~numpy.isnan(phase1)] = numpy.unwrap(phase1[~numpy.isnan(phase1)]) #Unwrap |
|
|
960 | ||
|
|
961 | ||
|
|
961 | 962 | indValid = numpy.where(~numpy.isnan(phase1))[0] |
|
|
962 | 963 | initMet = indValid[0] |
|
|
963 | 964 | endMet = 0 |
|
|
964 | ||
|
|
965 | ||
|
|
965 | 966 | for i in range(len(indValid)-1): |
|
|
966 | ||
|
|
967 | ||
|
|
967 | 968 | #Time difference |
|
|
968 | 969 | inow = indValid[i] |
|
|
969 | 970 | inext = indValid[i+1] |
|
|
970 | 971 | idiff = inext - inow |
|
|
971 | 972 | #Phase difference |
|
|
972 |
phDiff = numpy.abs(phase1[inext] - phase1[inow]) |
|
|
|
973 | ||
|
|
973 | phDiff = numpy.abs(phase1[inext] - phase1[inow]) | |
|
|
974 | ||
|
|
974 | 975 | if idiff>sec or phDiff>numpy.pi/4 or inext==indValid[-1]: #End of Meteor |
|
|
975 | 976 | sizeTrail = inow - initMet + 1 |
|
|
976 | 977 | if sizeTrail>3*sec: #Too short meteors |
|
|
977 | 978 | x = numpy.arange(initMet,inow+1)*ippSeconds |
|
|
978 | 979 | y = phase1[initMet:inow+1] |
|
|
979 | 980 | ynnan = ~numpy.isnan(y) |
|
|
980 | 981 | x = x[ynnan] |
|
|
981 | 982 | y = y[ynnan] |
|
|
982 | 983 | slope, intercept, r_value, p_value, std_err = stats.linregress(x,y) |
|
|
983 | 984 | ylin = x*slope + intercept |
|
|
984 | 985 | rsq = r_value**2 |
|
|
985 | 986 | if rsq > 0.5: |
|
|
986 | 987 | vel = slope#*height*1000/(k*d) |
|
|
987 | 988 | estAux = numpy.array([utctime,p,height, vel, rsq]) |
|
|
988 | 989 | meteorList.append(estAux) |
|
|
989 |
initMet = inext |
|
|
|
990 | initMet = inext | |
|
|
990 | 991 | metArray2 = numpy.array(meteorList) |
|
|
991 | ||
|
|
992 | ||
|
|
992 | 993 | return metArray2 |
|
|
993 | ||
|
|
994 | ||
|
|
994 | 995 | def __calculateAzimuth1(self, rx_location, pairslist, azimuth0): |
|
|
995 | ||
|
|
996 | ||
|
|
996 | 997 | azimuth1 = numpy.zeros(len(pairslist)) |
|
|
997 | 998 | dist = numpy.zeros(len(pairslist)) |
|
|
998 | ||
|
|
999 | ||
|
|
999 | 1000 | for i in range(len(rx_location)): |
|
|
1000 | 1001 | ch0 = pairslist[i][0] |
|
|
1001 | 1002 | ch1 = pairslist[i][1] |
|
|
1002 | ||
|
|
1003 | ||
|
|
1003 | 1004 | diffX = rx_location[ch0][0] - rx_location[ch1][0] |
|
|
1004 | 1005 | diffY = rx_location[ch0][1] - rx_location[ch1][1] |
|
|
1005 | 1006 | azimuth1[i] = numpy.arctan2(diffY,diffX)*180/numpy.pi |
|
|
1006 | 1007 | dist[i] = numpy.sqrt(diffX**2 + diffY**2) |
|
|
1007 | ||
|
|
1008 | ||
|
|
1008 | 1009 | azimuth1 -= azimuth0 |
|
|
1009 | 1010 | return azimuth1, dist |
|
|
1010 | ||
|
|
1011 | ||
|
|
1011 | 1012 | def techniqueNSM_DBS(self, **kwargs): |
|
|
1012 | 1013 | metArray = kwargs['metArray'] |
|
|
1013 | 1014 | heightList = kwargs['heightList'] |
|
|
1014 | 1015 | timeList = kwargs['timeList'] |
|
|
1015 | 1016 | zenithList = kwargs['zenithList'] |
|
|
1016 | 1017 | nChan = numpy.max(cmet) + 1 |
|
|
1017 | 1018 | nHeights = len(heightList) |
|
|
1018 | ||
|
|
1019 | ||
|
|
1019 | 1020 | utctime = metArray[:,0] |
|
|
1020 | 1021 | cmet = metArray[:,1] |
|
|
1021 | 1022 | hmet = metArray1[:,3].astype(int) |
|
|
1022 | 1023 | h1met = heightList[hmet]*zenithList[cmet] |
|
|
1023 | 1024 | vmet = metArray1[:,5] |
|
|
1024 | ||
|
|
1025 | ||
|
|
1025 | 1026 | for i in range(nHeights - 1): |
|
|
1026 | 1027 | hmin = heightList[i] |
|
|
1027 | 1028 | hmax = heightList[i + 1] |
|
|
1028 | ||
|
|
1029 | ||
|
|
1029 | 1030 | vthisH = vmet[(h1met>=hmin) & (h1met<hmax)] |
|
|
1030 | ||
|
|
1031 | ||
|
|
1032 | ||
|
|
1031 | ||
|
|
1032 | ||
|
|
1033 | ||
|
|
1033 | 1034 | return data_output |
|
|
1034 | ||
|
|
1035 | ||
|
|
1035 | 1036 | def run(self, dataOut, technique, **kwargs): |
|
|
1036 | ||
|
|
1037 | ||
|
|
1037 | 1038 | param = dataOut.data_param |
|
|
1038 | 1039 | if dataOut.abscissaList != None: |
|
|
1039 | 1040 | absc = dataOut.abscissaList[:-1] |
|
|
1040 | 1041 | noise = dataOut.noise |
|
|
1041 | 1042 | heightList = dataOut.heightList |
|
|
1042 | 1043 | SNR = dataOut.data_SNR |
|
|
1043 | ||
|
|
1044 | ||
|
|
1044 | 1045 | if technique == 'DBS': |
|
|
1045 | ||
|
|
1046 |
kwargs['velRadial'] = param[:,1,:] #Radial velocity |
|
|
|
1046 | ||
|
|
1047 | kwargs['velRadial'] = param[:,1,:] #Radial velocity | |
|
|
1047 | 1048 | kwargs['heightList'] = heightList |
|
|
1048 | 1049 | kwargs['SNR'] = SNR |
|
|
1049 | ||
|
|
1050 | ||
|
|
1050 | 1051 | dataOut.data_output, dataOut.heightList, dataOut.data_SNR = self.techniqueDBS(kwargs) #DBS Function |
|
|
1051 | 1052 | dataOut.utctimeInit = dataOut.utctime |
|
|
1052 | 1053 | dataOut.outputInterval = dataOut.paramInterval |
|
|
1053 | ||
|
|
1054 | ||
|
|
1054 | 1055 | elif technique == 'SA': |
|
|
1055 | ||
|
|
1056 | ||
|
|
1056 | 1057 | #Parameters |
|
|
1057 | 1058 | # position_x = kwargs['positionX'] |
|
|
1058 | 1059 | # position_y = kwargs['positionY'] |
|
|
1059 | 1060 | # azimuth = kwargs['azimuth'] |
|
|
1060 | # | |
|
|
1061 | # | |
|
|
1061 | 1062 | # if kwargs.has_key('crosspairsList'): |
|
|
1062 | 1063 | # pairs = kwargs['crosspairsList'] |
|
|
1063 | 1064 | # else: |
|
|
1064 |
# pairs = None |
|
|
|
1065 |
# |
|
|
|
1065 | # pairs = None | |
|
|
1066 | # | |
|
|
1066 | 1067 | # if kwargs.has_key('correctFactor'): |
|
|
1067 | 1068 | # correctFactor = kwargs['correctFactor'] |
|
|
1068 | 1069 | # else: |
|
|
1069 | 1070 | # correctFactor = 1 |
|
|
1070 | ||
|
|
1071 | ||
|
|
1071 | 1072 | # tau = dataOut.data_param |
|
|
1072 | 1073 | # _lambda = dataOut.C/dataOut.frequency |
|
|
1073 | 1074 | # pairsList = dataOut.groupList |
|
|
1074 | 1075 | # nChannels = dataOut.nChannels |
|
|
1075 | ||
|
|
1076 | ||
|
|
1076 | 1077 | kwargs['groupList'] = dataOut.groupList |
|
|
1077 | 1078 | kwargs['tau'] = dataOut.data_param |
|
|
1078 | 1079 | kwargs['_lambda'] = dataOut.C/dataOut.frequency |
|
|
1079 | 1080 | # dataOut.data_output = self.techniqueSA(pairs, pairsList, nChannels, tau, azimuth, _lambda, position_x, position_y, absc, correctFactor) |
|
|
1080 | 1081 | dataOut.data_output = self.techniqueSA(kwargs) |
|
|
1081 | 1082 | dataOut.utctimeInit = dataOut.utctime |
|
|
1082 | 1083 | dataOut.outputInterval = dataOut.timeInterval |
|
|
1083 | ||
|
|
1084 |
elif technique == 'Meteors': |
|
|
|
1084 | ||
|
|
1085 | elif technique == 'Meteors': | |
|
|
1085 | 1086 | dataOut.flagNoData = True |
|
|
1086 | 1087 | self.__dataReady = False |
|
|
1087 | ||
|
|
1088 | ||
|
|
1088 | 1089 | if kwargs.has_key('nHours'): |
|
|
1089 | 1090 | nHours = kwargs['nHours'] |
|
|
1090 |
else: |
|
|
|
1091 | else: | |
|
|
1091 | 1092 | nHours = 1 |
|
|
1092 | ||
|
|
1093 | ||
|
|
1093 | 1094 | if kwargs.has_key('meteorsPerBin'): |
|
|
1094 | 1095 | meteorThresh = kwargs['meteorsPerBin'] |
|
|
1095 | 1096 | else: |
|
|
1096 | 1097 | meteorThresh = 6 |
|
|
1097 | ||
|
|
1098 | ||
|
|
1098 | 1099 | if kwargs.has_key('hmin'): |
|
|
1099 | 1100 | hmin = kwargs['hmin'] |
|
|
1100 | 1101 | else: hmin = 70 |
|
|
1101 | 1102 | if kwargs.has_key('hmax'): |
|
|
1102 | 1103 | hmax = kwargs['hmax'] |
|
|
1103 | 1104 | else: hmax = 110 |
|
|
1104 | ||
|
|
1105 | ||
|
|
1105 | 1106 | if kwargs.has_key('BinKm'): |
|
|
1106 | 1107 | binkm = kwargs['BinKm'] |
|
|
1107 | 1108 | else: |
|
|
1108 | 1109 | binkm = 2 |
|
|
1109 | ||
|
|
1110 | ||
|
|
1110 | 1111 | dataOut.outputInterval = nHours*3600 |
|
|
1111 | ||
|
|
1112 | ||
|
|
1112 | 1113 | if self.__isConfig == False: |
|
|
1113 | 1114 | # self.__initime = dataOut.datatime.replace(minute = 0, second = 0, microsecond = 03) |
|
|
1114 | 1115 | #Get Initial LTC time |
|
|
1115 | 1116 | self.__initime = datetime.datetime.utcfromtimestamp(dataOut.utctime) |
|
|
1116 | 1117 | self.__initime = (self.__initime.replace(minute = 0, second = 0, microsecond = 0) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
1117 | 1118 | |
|
|
1118 | 1119 | self.__isConfig = True |
|
|
1119 | ||
|
|
1120 | ||
|
|
1120 | 1121 | if self.__buffer is None: |
|
|
1121 | 1122 | self.__buffer = dataOut.data_param |
|
|
1122 | 1123 | self.__firstdata = copy.copy(dataOut) |
|
|
1123 | 1124 | |
|
|
1124 | 1125 | else: |
|
|
1125 | 1126 | self.__buffer = numpy.vstack((self.__buffer, dataOut.data_param)) |
|
|
1126 | ||
|
|
1127 | ||
|
|
1127 | 1128 | self.__checkTime(dataOut.utctime, dataOut.paramInterval, dataOut.outputInterval) #Check if the buffer is ready |
|
|
1128 | ||
|
|
1129 | ||
|
|
1129 | 1130 | if self.__dataReady: |
|
|
1130 | 1131 | dataOut.utctimeInit = self.__initime |
|
|
1131 | ||
|
|
1132 | ||
|
|
1132 | 1133 | self.__initime += dataOut.outputInterval #to erase time offset |
|
|
1133 | ||
|
|
1134 | ||
|
|
1134 | 1135 | dataOut.data_output, dataOut.heightList = self.techniqueMeteors(self.__buffer, meteorThresh, hmin, hmax, binkm) |
|
|
1135 | 1136 | dataOut.flagNoData = False |
|
|
1136 | 1137 | self.__buffer = None |
|
|
1137 | ||
|
|
1138 | ||
|
|
1138 | 1139 | elif technique == 'Meteors1': |
|
|
1139 | 1140 | dataOut.flagNoData = True |
|
|
1140 | 1141 | self.__dataReady = False |
|
|
1141 | ||
|
|
1142 | ||
|
|
1142 | 1143 | if kwargs.has_key('nMins'): |
|
|
1143 | 1144 | nMins = kwargs['nMins'] |
|
|
1144 | 1145 | else: nMins = 20 |
|
|
1145 | 1146 | if kwargs.has_key('rx_location'): |
|
|
1146 | 1147 | rx_location = kwargs['rx_location'] |
|
|
1147 | 1148 | else: rx_location = [(0,1),(1,1),(1,0)] |
|
|
1148 | 1149 | if kwargs.has_key('azimuth'): |
|
|
1149 | 1150 | azimuth = kwargs['azimuth'] |
|
|
1150 | 1151 | else: azimuth = 51 |
|
|
1151 | 1152 | if kwargs.has_key('dfactor'): |
|
|
1152 | 1153 | dfactor = kwargs['dfactor'] |
|
|
1153 | 1154 | if kwargs.has_key('mode'): |
|
|
1154 | 1155 | mode = kwargs['mode'] |
|
|
1155 |
else: mode = 'SA' |
|
|
|
1156 | ||
|
|
1156 | else: mode = 'SA' | |
|
|
1157 | ||
|
|
1157 | 1158 | #Borrar luego esto |
|
|
1158 | 1159 | if dataOut.groupList is None: |
|
|
1159 | 1160 | dataOut.groupList = [(0,1),(0,2),(1,2)] |
|
|
1160 | 1161 | groupList = dataOut.groupList |
|
|
1161 | 1162 | C = 3e8 |
|
|
1162 | 1163 | freq = 50e6 |
|
|
1163 | 1164 | lamb = C/freq |
|
|
1164 | 1165 | k = 2*numpy.pi/lamb |
|
|
1165 | ||
|
|
1166 | ||
|
|
1166 | 1167 | timeList = dataOut.abscissaList |
|
|
1167 | 1168 | heightList = dataOut.heightList |
|
|
1168 | ||
|
|
1169 | ||
|
|
1169 | 1170 | if self.__isConfig == False: |
|
|
1170 | 1171 | dataOut.outputInterval = nMins*60 |
|
|
1171 | 1172 | # self.__initime = dataOut.datatime.replace(minute = 0, second = 0, microsecond = 03) |
|
|
1172 | 1173 | #Get Initial LTC time |
|
|
1173 | 1174 | initime = datetime.datetime.utcfromtimestamp(dataOut.utctime) |
|
|
1174 | 1175 | minuteAux = initime.minute |
|
|
1175 | 1176 | minuteNew = int(numpy.floor(minuteAux/nMins)*nMins) |
|
|
1176 | 1177 | self.__initime = (initime.replace(minute = minuteNew, second = 0, microsecond = 0) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
1177 | 1178 | |
|
|
1178 | 1179 | self.__isConfig = True |
|
|
1179 | ||
|
|
1180 | ||
|
|
1180 | 1181 | if self.__buffer is None: |
|
|
1181 | 1182 | self.__buffer = dataOut.data_param |
|
|
1182 | 1183 | self.__firstdata = copy.copy(dataOut) |
|
|
1183 | 1184 | |
|
|
1184 | 1185 | else: |
|
|
1185 | 1186 | self.__buffer = numpy.vstack((self.__buffer, dataOut.data_param)) |
|
|
1186 | ||
|
|
1187 | ||
|
|
1187 | 1188 | self.__checkTime(dataOut.utctime, dataOut.paramInterval, dataOut.outputInterval) #Check if the buffer is ready |
|
|
1188 | ||
|
|
1189 | ||
|
|
1189 | 1190 | if self.__dataReady: |
|
|
1190 | 1191 | dataOut.utctimeInit = self.__initime |
|
|
1191 | 1192 | self.__initime += dataOut.outputInterval #to erase time offset |
|
|
1192 | ||
|
|
1193 | ||
|
|
1193 | 1194 | metArray = self.__buffer |
|
|
1194 | 1195 | if mode == 'SA': |
|
|
1195 | 1196 | dataOut.data_output = self.techniqueNSM_SA(rx_location=rx_location, groupList=groupList, azimuth=azimuth, dfactor=dfactor, k=k,metArray=metArray, heightList=heightList,timeList=timeList) |
|
|
1196 | 1197 | elif mode == 'DBS': |
|
|
1197 | 1198 | dataOut.data_output = self.techniqueNSM_DBS(metArray=metArray,heightList=heightList,timeList=timeList) |
|
|
1198 | 1199 | dataOut.data_output = dataOut.data_output.T |
|
|
1199 | 1200 | dataOut.flagNoData = False |
|
|
1200 | 1201 | self.__buffer = None |
|
|
1201 | 1202 | |
|
|
1202 | 1203 | return |
|
|
1203 | ||
|
|
1204 | ||
|
|
1204 | 1205 | class EWDriftsEstimation(Operation): |
|
|
1205 | ||
|
|
1206 |
def __init__(self): |
|
|
|
1207 |
Operation.__init__(self) |
|
|
|
1208 | ||
|
|
1206 | ||
|
|
1207 | def __init__(self): | |
|
|
1208 | Operation.__init__(self) | |
|
|
1209 | ||
|
|
1209 | 1210 | def __correctValues(self, heiRang, phi, velRadial, SNR): |
|
|
1210 | 1211 | listPhi = phi.tolist() |
|
|
1211 | 1212 | maxid = listPhi.index(max(listPhi)) |
|
|
1212 | 1213 | minid = listPhi.index(min(listPhi)) |
|
|
1213 | ||
|
|
1214 |
rango = range(len(phi)) |
|
|
|
1214 | ||
|
|
1215 | rango = range(len(phi)) | |
|
|
1215 | 1216 | # rango = numpy.delete(rango,maxid) |
|
|
1216 | ||
|
|
1217 | ||
|
|
1217 | 1218 | heiRang1 = heiRang*math.cos(phi[maxid]) |
|
|
1218 | 1219 | heiRangAux = heiRang*math.cos(phi[minid]) |
|
|
1219 | 1220 | indOut = (heiRang1 < heiRangAux[0]).nonzero() |
|
|
1220 | 1221 | heiRang1 = numpy.delete(heiRang1,indOut) |
|
|
1221 | ||
|
|
1222 | ||
|
|
1222 | 1223 | velRadial1 = numpy.zeros([len(phi),len(heiRang1)]) |
|
|
1223 | 1224 | SNR1 = numpy.zeros([len(phi),len(heiRang1)]) |
|
|
1224 | ||
|
|
1225 | ||
|
|
1225 | 1226 | for i in rango: |
|
|
1226 | 1227 | x = heiRang*math.cos(phi[i]) |
|
|
1227 | 1228 | y1 = velRadial[i,:] |
|
|
1228 | 1229 | f1 = interpolate.interp1d(x,y1,kind = 'cubic') |
|
|
1229 | ||
|
|
1230 | ||
|
|
1230 | 1231 | x1 = heiRang1 |
|
|
1231 | 1232 | y11 = f1(x1) |
|
|
1232 | ||
|
|
1233 | ||
|
|
1233 | 1234 | y2 = SNR[i,:] |
|
|
1234 | 1235 | f2 = interpolate.interp1d(x,y2,kind = 'cubic') |
|
|
1235 | 1236 | y21 = f2(x1) |
|
|
1236 | ||
|
|
1237 | ||
|
|
1237 | 1238 | velRadial1[i,:] = y11 |
|
|
1238 | 1239 | SNR1[i,:] = y21 |
|
|
1239 | ||
|
|
1240 | ||
|
|
1240 | 1241 | return heiRang1, velRadial1, SNR1 |
|
|
1241 | 1242 | |
|
|
1242 | 1243 | def run(self, dataOut, zenith, zenithCorrection): |
|
|
1243 | 1244 | heiRang = dataOut.heightList |
|
|
1244 | 1245 | velRadial = dataOut.data_param[:,3,:] |
|
|
1245 | 1246 | SNR = dataOut.data_SNR |
|
|
1246 | ||
|
|
1247 | ||
|
|
1247 | 1248 | zenith = numpy.array(zenith) |
|
|
1248 |
zenith -= zenithCorrection |
|
|
|
1249 | zenith -= zenithCorrection | |
|
|
1249 | 1250 | zenith *= numpy.pi/180 |
|
|
1250 | ||
|
|
1251 | ||
|
|
1251 | 1252 | heiRang1, velRadial1, SNR1 = self.__correctValues(heiRang, numpy.abs(zenith), velRadial, SNR) |
|
|
1252 | ||
|
|
1253 | ||
|
|
1253 | 1254 | alp = zenith[0] |
|
|
1254 | 1255 | bet = zenith[1] |
|
|
1255 | ||
|
|
1256 | ||
|
|
1256 | 1257 | w_w = velRadial1[0,:] |
|
|
1257 | 1258 | w_e = velRadial1[1,:] |
|
|
1258 | ||
|
|
1259 |
w = (w_w*numpy.sin(bet) - w_e*numpy.sin(alp))/(numpy.cos(alp)*numpy.sin(bet) - numpy.cos(bet)*numpy.sin(alp)) |
|
|
|
1260 |
u = (w_w*numpy.cos(bet) - w_e*numpy.cos(alp))/(numpy.sin(alp)*numpy.cos(bet) - numpy.sin(bet)*numpy.cos(alp)) |
|
|
|
1261 | ||
|
|
1259 | ||
|
|
1260 | w = (w_w*numpy.sin(bet) - w_e*numpy.sin(alp))/(numpy.cos(alp)*numpy.sin(bet) - numpy.cos(bet)*numpy.sin(alp)) | |
|
|
1261 | u = (w_w*numpy.cos(bet) - w_e*numpy.cos(alp))/(numpy.sin(alp)*numpy.cos(bet) - numpy.sin(bet)*numpy.cos(alp)) | |
|
|
1262 | ||
|
|
1262 | 1263 | winds = numpy.vstack((u,w)) |
|
|
1263 | ||
|
|
1264 | ||
|
|
1264 | 1265 | dataOut.heightList = heiRang1 |
|
|
1265 | 1266 | dataOut.data_output = winds |
|
|
1266 | 1267 | dataOut.data_SNR = SNR1 |
|
|
1267 | ||
|
|
1268 | ||
|
|
1268 | 1269 | dataOut.utctimeInit = dataOut.utctime |
|
|
1269 | 1270 | dataOut.outputInterval = dataOut.timeInterval |
|
|
1270 | 1271 | return |
|
|
1271 | 1272 | |
|
|
1272 | 1273 | #--------------- Non Specular Meteor ---------------- |
|
|
1273 | 1274 | |
|
|
1274 | 1275 | class NonSpecularMeteorDetection(Operation): |
|
|
1275 | 1276 | |
|
|
1276 | 1277 | def run(self, mode, SNRthresh=8, phaseDerThresh=0.5, cohThresh=0.8, allData = False): |
|
|
1277 | 1278 | data_acf = self.dataOut.data_pre[0] |
|
|
1278 | 1279 | data_ccf = self.dataOut.data_pre[1] |
|
|
1279 | ||
|
|
1280 | ||
|
|
1280 | 1281 | lamb = self.dataOut.C/self.dataOut.frequency |
|
|
1281 | 1282 | tSamp = self.dataOut.ippSeconds*self.dataOut.nCohInt |
|
|
1282 | 1283 | paramInterval = self.dataOut.paramInterval |
|
|
1283 | ||
|
|
1284 | ||
|
|
1284 | 1285 | nChannels = data_acf.shape[0] |
|
|
1285 | 1286 | nLags = data_acf.shape[1] |
|
|
1286 | 1287 | nProfiles = data_acf.shape[2] |
|
|
1287 | 1288 | nHeights = self.dataOut.nHeights |
|
|
1288 | 1289 | nCohInt = self.dataOut.nCohInt |
|
|
1289 | 1290 | sec = numpy.round(nProfiles/self.dataOut.paramInterval) |
|
|
1290 | 1291 | heightList = self.dataOut.heightList |
|
|
1291 | 1292 | ippSeconds = self.dataOut.ippSeconds*self.dataOut.nCohInt*self.dataOut.nAvg |
|
|
1292 | 1293 | utctime = self.dataOut.utctime |
|
|
1293 | ||
|
|
1294 | ||
|
|
1294 | 1295 | self.dataOut.abscissaList = numpy.arange(0,paramInterval+ippSeconds,ippSeconds) |
|
|
1295 | ||
|
|
1296 | ||
|
|
1296 | 1297 | #------------------------ SNR -------------------------------------- |
|
|
1297 | 1298 | power = data_acf[:,0,:,:].real |
|
|
1298 | 1299 | noise = numpy.zeros(nChannels) |
|
|
1299 | 1300 | SNR = numpy.zeros(power.shape) |
|
|
1300 | 1301 | for i in range(nChannels): |
|
|
1301 | 1302 | noise[i] = hildebrand_sekhon(power[i,:], nCohInt) |
|
|
1302 | 1303 | SNR[i] = (power[i]-noise[i])/noise[i] |
|
|
1303 | 1304 | SNRm = numpy.nanmean(SNR, axis = 0) |
|
|
1304 | 1305 | SNRdB = 10*numpy.log10(SNR) |
|
|
1305 | ||
|
|
1306 | ||
|
|
1306 | 1307 | if mode == 'SA': |
|
|
1307 |
nPairs = data_ccf.shape[0] |
|
|
|
1308 | nPairs = data_ccf.shape[0] | |
|
|
1308 | 1309 | #---------------------- Coherence and Phase -------------------------- |
|
|
1309 | 1310 | phase = numpy.zeros(data_ccf[:,0,:,:].shape) |
|
|
1310 | 1311 | # phase1 = numpy.copy(phase) |
|
|
1311 | 1312 | coh1 = numpy.zeros(data_ccf[:,0,:,:].shape) |
|
|
1312 | ||
|
|
1313 | ||
|
|
1313 | 1314 | for p in range(nPairs): |
|
|
1314 | 1315 | ch0 = self.dataOut.groupList[p][0] |
|
|
1315 | 1316 | ch1 = self.dataOut.groupList[p][1] |
|
|
1316 | 1317 | ccf = data_ccf[p,0,:,:]/numpy.sqrt(data_acf[ch0,0,:,:]*data_acf[ch1,0,:,:]) |
|
|
1317 |
phase[p,:,:] = ndimage.median_filter(numpy.angle(ccf), size = (5,1)) #median filter |
|
|
|
1318 |
# phase1[p,:,:] = numpy.angle(ccf) #median filter |
|
|
|
1319 |
coh1[p,:,:] = ndimage.median_filter(numpy.abs(ccf), 5) #median filter |
|
|
|
1320 |
# coh1[p,:,:] = numpy.abs(ccf) #median filter |
|
|
|
1318 | phase[p,:,:] = ndimage.median_filter(numpy.angle(ccf), size = (5,1)) #median filter | |
|
|
1319 | # phase1[p,:,:] = numpy.angle(ccf) #median filter | |
|
|
1320 | coh1[p,:,:] = ndimage.median_filter(numpy.abs(ccf), 5) #median filter | |
|
|
1321 | # coh1[p,:,:] = numpy.abs(ccf) #median filter | |
|
|
1321 | 1322 | coh = numpy.nanmax(coh1, axis = 0) |
|
|
1322 | 1323 | # struc = numpy.ones((5,1)) |
|
|
1323 | 1324 | # coh = ndimage.morphology.grey_dilation(coh, size=(10,1)) |
|
|
1324 | 1325 | #---------------------- Radial Velocity ---------------------------- |
|
|
1325 | 1326 | phaseAux = numpy.mean(numpy.angle(data_acf[:,1,:,:]), axis = 0) |
|
|
1326 | 1327 | velRad = phaseAux*lamb/(4*numpy.pi*tSamp) |
|
|
1327 | ||
|
|
1328 | ||
|
|
1328 | 1329 | if allData: |
|
|
1329 | 1330 | boolMetFin = ~numpy.isnan(SNRm) |
|
|
1330 | 1331 | # coh[:-1,:] = numpy.nanmean(numpy.abs(phase[:,1:,:] - phase[:,:-1,:]),axis=0) |
|
|
1331 | 1332 | else: |
|
|
1332 | 1333 | #------------------------ Meteor mask --------------------------------- |
|
|
1333 | 1334 | # #SNR mask |
|
|
1334 | 1335 | # boolMet = (SNRdB>SNRthresh)#|(~numpy.isnan(SNRdB)) |
|
|
1335 | # | |
|
|
1336 | # | |
|
|
1336 | 1337 | # #Erase small objects |
|
|
1337 |
# boolMet1 = self.__erase_small(boolMet, 2*sec, 5) |
|
|
|
1338 | # | |
|
|
1338 | # boolMet1 = self.__erase_small(boolMet, 2*sec, 5) | |
|
|
1339 | # | |
|
|
1339 | 1340 | # auxEEJ = numpy.sum(boolMet1,axis=0) |
|
|
1340 | 1341 | # indOver = auxEEJ>nProfiles*0.8 #Use this later |
|
|
1341 | 1342 | # indEEJ = numpy.where(indOver)[0] |
|
|
1342 | 1343 | # indNEEJ = numpy.where(~indOver)[0] |
|
|
1343 | # | |
|
|
1344 | # | |
|
|
1344 | 1345 | # boolMetFin = boolMet1 |
|
|
1345 | # | |
|
|
1346 | # | |
|
|
1346 | 1347 | # if indEEJ.size > 0: |
|
|
1347 |
# boolMet1[:,indEEJ] = False #Erase heights with EEJ |
|
|
|
1348 | # | |
|
|
1348 | # boolMet1[:,indEEJ] = False #Erase heights with EEJ | |
|
|
1349 | # | |
|
|
1349 | 1350 | # boolMet2 = coh > cohThresh |
|
|
1350 | 1351 | # boolMet2 = self.__erase_small(boolMet2, 2*sec,5) |
|
|
1351 | # | |
|
|
1352 | # | |
|
|
1352 | 1353 | # #Final Meteor mask |
|
|
1353 | 1354 | # boolMetFin = boolMet1|boolMet2 |
|
|
1354 | ||
|
|
1355 | ||
|
|
1355 | 1356 | #Coherence mask |
|
|
1356 | 1357 | boolMet1 = coh > 0.75 |
|
|
1357 | 1358 | struc = numpy.ones((30,1)) |
|
|
1358 | 1359 | boolMet1 = ndimage.morphology.binary_dilation(boolMet1, structure=struc) |
|
|
1359 | ||
|
|
1360 | ||
|
|
1360 | 1361 | #Derivative mask |
|
|
1361 | 1362 | derPhase = numpy.nanmean(numpy.abs(phase[:,1:,:] - phase[:,:-1,:]),axis=0) |
|
|
1362 | 1363 | boolMet2 = derPhase < 0.2 |
|
|
1363 | 1364 | # boolMet2 = ndimage.morphology.binary_opening(boolMet2) |
|
|
1364 | 1365 | # boolMet2 = ndimage.morphology.binary_closing(boolMet2, structure = numpy.ones((10,1))) |
|
|
1365 | 1366 | boolMet2 = ndimage.median_filter(boolMet2,size=5) |
|
|
1366 | 1367 | boolMet2 = numpy.vstack((boolMet2,numpy.full((1,nHeights), True, dtype=bool))) |
|
|
1367 | 1368 | # #Final mask |
|
|
1368 | 1369 | # boolMetFin = boolMet2 |
|
|
1369 | 1370 | boolMetFin = boolMet1&boolMet2 |
|
|
1370 | 1371 | # boolMetFin = ndimage.morphology.binary_dilation(boolMetFin) |
|
|
1371 | 1372 | #Creating data_param |
|
|
1372 | 1373 | coordMet = numpy.where(boolMetFin) |
|
|
1373 | 1374 | |
|
|
1374 | 1375 | tmet = coordMet[0] |
|
|
1375 | 1376 | hmet = coordMet[1] |
|
|
1376 | ||
|
|
1377 | ||
|
|
1377 | 1378 | data_param = numpy.zeros((tmet.size, 6 + nPairs)) |
|
|
1378 | 1379 | data_param[:,0] = utctime |
|
|
1379 | 1380 | data_param[:,1] = tmet |
|
|
1380 | 1381 | data_param[:,2] = hmet |
|
|
1381 | 1382 | data_param[:,3] = SNRm[tmet,hmet] |
|
|
1382 | 1383 | data_param[:,4] = velRad[tmet,hmet] |
|
|
1383 | 1384 | data_param[:,5] = coh[tmet,hmet] |
|
|
1384 | 1385 | data_param[:,6:] = phase[:,tmet,hmet].T |
|
|
1385 | ||
|
|
1386 | ||
|
|
1386 | 1387 | elif mode == 'DBS': |
|
|
1387 | 1388 | self.dataOut.groupList = numpy.arange(nChannels) |
|
|
1388 | ||
|
|
1389 | ||
|
|
1389 | 1390 | #Radial Velocities |
|
|
1390 | 1391 | # phase = numpy.angle(data_acf[:,1,:,:]) |
|
|
1391 | 1392 | phase = ndimage.median_filter(numpy.angle(data_acf[:,1,:,:]), size = (1,5,1)) |
|
|
1392 | 1393 | velRad = phase*lamb/(4*numpy.pi*tSamp) |
|
|
1393 | ||
|
|
1394 | ||
|
|
1394 | 1395 | #Spectral width |
|
|
1395 | 1396 | acf1 = ndimage.median_filter(numpy.abs(data_acf[:,1,:,:]), size = (1,5,1)) |
|
|
1396 | 1397 | acf2 = ndimage.median_filter(numpy.abs(data_acf[:,2,:,:]), size = (1,5,1)) |
|
|
1397 | ||
|
|
1398 | ||
|
|
1398 | 1399 | spcWidth = (lamb/(2*numpy.sqrt(6)*numpy.pi*tSamp))*numpy.sqrt(numpy.log(acf1/acf2)) |
|
|
1399 | 1400 | # velRad = ndimage.median_filter(velRad, size = (1,5,1)) |
|
|
1400 | 1401 | if allData: |
|
|
1401 | 1402 | boolMetFin = ~numpy.isnan(SNRdB) |
|
|
1402 | 1403 | else: |
|
|
1403 | 1404 | #SNR |
|
|
1404 | 1405 | boolMet1 = (SNRdB>SNRthresh) #SNR mask |
|
|
1405 | 1406 | boolMet1 = ndimage.median_filter(boolMet1, size=(1,5,5)) |
|
|
1406 | ||
|
|
1407 | ||
|
|
1407 | 1408 | #Radial velocity |
|
|
1408 | 1409 | boolMet2 = numpy.abs(velRad) < 30 |
|
|
1409 | 1410 | boolMet2 = ndimage.median_filter(boolMet2, (1,5,5)) |
|
|
1410 | ||
|
|
1411 | ||
|
|
1411 | 1412 | #Spectral Width |
|
|
1412 | 1413 | boolMet3 = spcWidth < 30 |
|
|
1413 | 1414 | boolMet3 = ndimage.median_filter(boolMet3, (1,5,5)) |
|
|
1414 | 1415 | # boolMetFin = self.__erase_small(boolMet1, 10,5) |
|
|
1415 | 1416 | boolMetFin = boolMet1&boolMet2&boolMet3 |
|
|
1416 | ||
|
|
1417 | ||
|
|
1417 | 1418 | #Creating data_param |
|
|
1418 | 1419 | coordMet = numpy.where(boolMetFin) |
|
|
1419 | 1420 | |
|
|
1420 | 1421 | cmet = coordMet[0] |
|
|
1421 | 1422 | tmet = coordMet[1] |
|
|
1422 | 1423 | hmet = coordMet[2] |
|
|
1423 | ||
|
|
1424 | ||
|
|
1424 | 1425 | data_param = numpy.zeros((tmet.size, 7)) |
|
|
1425 | 1426 | data_param[:,0] = utctime |
|
|
1426 | 1427 | data_param[:,1] = cmet |
|
|
1427 | 1428 | data_param[:,2] = tmet |
|
|
1428 | 1429 | data_param[:,3] = hmet |
|
|
1429 | 1430 | data_param[:,4] = SNR[cmet,tmet,hmet].T |
|
|
1430 | 1431 | data_param[:,5] = velRad[cmet,tmet,hmet].T |
|
|
1431 | 1432 | data_param[:,6] = spcWidth[cmet,tmet,hmet].T |
|
|
1432 | ||
|
|
1433 | ||
|
|
1433 | 1434 | # self.dataOut.data_param = data_int |
|
|
1434 | 1435 | if len(data_param) == 0: |
|
|
1435 | 1436 | self.dataOut.flagNoData = True |
|
|
1436 | 1437 | else: |
|
|
1437 | 1438 | self.dataOut.data_param = data_param |
|
|
1438 | 1439 | |
|
|
1439 | 1440 | def __erase_small(self, binArray, threshX, threshY): |
|
|
1440 | 1441 | labarray, numfeat = ndimage.measurements.label(binArray) |
|
|
1441 | 1442 | binArray1 = numpy.copy(binArray) |
|
|
1442 | ||
|
|
1443 | ||
|
|
1443 | 1444 | for i in range(1,numfeat + 1): |
|
|
1444 | 1445 | auxBin = (labarray==i) |
|
|
1445 | 1446 | auxSize = auxBin.sum() |
|
|
1446 | ||
|
|
1447 | ||
|
|
1447 | 1448 | x,y = numpy.where(auxBin) |
|
|
1448 | 1449 | widthX = x.max() - x.min() |
|
|
1449 | 1450 | widthY = y.max() - y.min() |
|
|
1450 | ||
|
|
1451 | ||
|
|
1451 | 1452 | #width X: 3 seg -> 12.5*3 |
|
|
1452 |
#width Y: |
|
|
|
1453 | ||
|
|
1453 | #width Y: | |
|
|
1454 | ||
|
|
1454 | 1455 | if (auxSize < 50) or (widthX < threshX) or (widthY < threshY): |
|
|
1455 | 1456 | binArray1[auxBin] = False |
|
|
1456 | ||
|
|
1457 | ||
|
|
1457 | 1458 | return binArray1 |
|
|
1458 | 1459 | |
|
|
1459 | 1460 | #--------------- Specular Meteor ---------------- |
|
|
1460 | 1461 | |
|
|
1461 | 1462 | class SMDetection(Operation): |
|
|
1462 | 1463 | ''' |
|
|
1463 | 1464 | Function DetectMeteors() |
|
|
1464 | 1465 | Project developed with paper: |
|
|
1465 | 1466 | HOLDSWORTH ET AL. 2004 |
|
|
1466 | ||
|
|
1467 | ||
|
|
1467 | 1468 | Input: |
|
|
1468 | 1469 | self.dataOut.data_pre |
|
|
1469 | ||
|
|
1470 | ||
|
|
1470 | 1471 | centerReceiverIndex: From the channels, which is the center receiver |
|
|
1471 | ||
|
|
1472 | ||
|
|
1472 | 1473 | hei_ref: Height reference for the Beacon signal extraction |
|
|
1473 | 1474 | tauindex: |
|
|
1474 | 1475 | predefinedPhaseShifts: Predefined phase offset for the voltge signals |
|
|
1475 | ||
|
|
1476 | ||
|
|
1476 | 1477 | cohDetection: Whether to user Coherent detection or not |
|
|
1477 | 1478 | cohDet_timeStep: Coherent Detection calculation time step |
|
|
1478 | 1479 | cohDet_thresh: Coherent Detection phase threshold to correct phases |
|
|
1479 | ||
|
|
1480 | ||
|
|
1480 | 1481 | noise_timeStep: Noise calculation time step |
|
|
1481 | 1482 | noise_multiple: Noise multiple to define signal threshold |
|
|
1482 | ||
|
|
1483 | ||
|
|
1483 | 1484 | multDet_timeLimit: Multiple Detection Removal time limit in seconds |
|
|
1484 | 1485 | multDet_rangeLimit: Multiple Detection Removal range limit in km |
|
|
1485 | ||
|
|
1486 | ||
|
|
1486 | 1487 | phaseThresh: Maximum phase difference between receiver to be consider a meteor |
|
|
1487 |
SNRThresh: Minimum SNR threshold of the meteor signal to be consider a meteor |
|
|
|
1488 | ||
|
|
1488 | SNRThresh: Minimum SNR threshold of the meteor signal to be consider a meteor | |
|
|
1489 | ||
|
|
1489 | 1490 | hmin: Minimum Height of the meteor to use it in the further wind estimations |
|
|
1490 | 1491 | hmax: Maximum Height of the meteor to use it in the further wind estimations |
|
|
1491 | 1492 | azimuth: Azimuth angle correction |
|
|
1492 | ||
|
|
1493 | ||
|
|
1493 | 1494 | Affected: |
|
|
1494 | 1495 | self.dataOut.data_param |
|
|
1495 | ||
|
|
1496 | ||
|
|
1496 | 1497 | Rejection Criteria (Errors): |
|
|
1497 | 1498 | 0: No error; analysis OK |
|
|
1498 | 1499 | 1: SNR < SNR threshold |
|
|
1499 | 1500 | 2: angle of arrival (AOA) ambiguously determined |
|
|
1500 | 1501 | 3: AOA estimate not feasible |
|
|
1501 | 1502 | 4: Large difference in AOAs obtained from different antenna baselines |
|
|
1502 | 1503 | 5: echo at start or end of time series |
|
|
1503 | 1504 | 6: echo less than 5 examples long; too short for analysis |
|
|
1504 | 1505 | 7: echo rise exceeds 0.3s |
|
|
1505 | 1506 | 8: echo decay time less than twice rise time |
|
|
1506 | 1507 | 9: large power level before echo |
|
|
1507 | 1508 | 10: large power level after echo |
|
|
1508 | 1509 | 11: poor fit to amplitude for estimation of decay time |
|
|
1509 | 1510 | 12: poor fit to CCF phase variation for estimation of radial drift velocity |
|
|
1510 | 1511 | 13: height unresolvable echo: not valid height within 70 to 110 km |
|
|
1511 | 1512 | 14: height ambiguous echo: more then one possible height within 70 to 110 km |
|
|
1512 | 1513 | 15: radial drift velocity or projected horizontal velocity exceeds 200 m/s |
|
|
1513 | 1514 | 16: oscilatory echo, indicating event most likely not an underdense echo |
|
|
1514 | ||
|
|
1515 | ||
|
|
1515 | 1516 | 17: phase difference in meteor Reestimation |
|
|
1516 | ||
|
|
1517 | ||
|
|
1517 | 1518 | Data Storage: |
|
|
1518 | 1519 | Meteors for Wind Estimation (8): |
|
|
1519 | 1520 | Utc Time | Range Height |
|
|
1520 | 1521 | Azimuth Zenith errorCosDir |
|
|
1521 | 1522 | VelRad errorVelRad |
|
|
1522 | 1523 | Phase0 Phase1 Phase2 Phase3 |
|
|
1523 | 1524 | TypeError |
|
|
1524 | ||
|
|
1525 |
''' |
|
|
|
1526 | ||
|
|
1525 | ||
|
|
1526 | ''' | |
|
|
1527 | ||
|
|
1527 | 1528 | def run(self, dataOut, hei_ref = None, tauindex = 0, |
|
|
1528 | 1529 | phaseOffsets = None, |
|
|
1529 |
cohDetection = False, cohDet_timeStep = 1, cohDet_thresh = 25, |
|
|
|
1530 | cohDetection = False, cohDet_timeStep = 1, cohDet_thresh = 25, | |
|
|
1530 | 1531 | noise_timeStep = 4, noise_multiple = 4, |
|
|
1531 | 1532 | multDet_timeLimit = 1, multDet_rangeLimit = 3, |
|
|
1532 | 1533 | phaseThresh = 20, SNRThresh = 5, |
|
|
1533 | 1534 | hmin = 50, hmax=150, azimuth = 0, |
|
|
1534 | 1535 | channelPositions = None) : |
|
|
1535 | ||
|
|
1536 | ||
|
|
1536 | ||
|
|
1537 | ||
|
|
1537 | 1538 | #Getting Pairslist |
|
|
1538 | 1539 | if channelPositions is None: |
|
|
1539 | 1540 | # channelPositions = [(2.5,0), (0,2.5), (0,0), (0,4.5), (-2,0)] #T |
|
|
1540 | 1541 | channelPositions = [(4.5,2), (2,4.5), (2,2), (2,0), (0,2)] #Estrella |
|
|
1541 | 1542 | meteorOps = SMOperations() |
|
|
1542 | 1543 | pairslist0, distances = meteorOps.getPhasePairs(channelPositions) |
|
|
1543 | 1544 | heiRang = dataOut.getHeiRange() |
|
|
1544 | 1545 | #Get Beacon signal - No Beacon signal anymore |
|
|
1545 | 1546 | # newheis = numpy.where(self.dataOut.heightList>self.dataOut.radarControllerHeaderObj.Taus[tauindex]) |
|
|
1546 | # | |
|
|
1547 | # | |
|
|
1547 | 1548 | # if hei_ref != None: |
|
|
1548 | 1549 | # newheis = numpy.where(self.dataOut.heightList>hei_ref) |
|
|
1549 | # | |
|
|
1550 | ||
|
|
1551 | ||
|
|
1550 | # | |
|
|
1551 | ||
|
|
1552 | ||
|
|
1552 | 1553 | #****************REMOVING HARDWARE PHASE DIFFERENCES*************** |
|
|
1553 | 1554 | # see if the user put in pre defined phase shifts |
|
|
1554 | 1555 | voltsPShift = dataOut.data_pre.copy() |
|
|
1555 | ||
|
|
1556 | ||
|
|
1556 | 1557 | # if predefinedPhaseShifts != None: |
|
|
1557 | 1558 | # hardwarePhaseShifts = numpy.array(predefinedPhaseShifts)*numpy.pi/180 |
|
|
1558 | # | |
|
|
1559 | # | |
|
|
1559 | 1560 | # # elif beaconPhaseShifts: |
|
|
1560 | 1561 | # # #get hardware phase shifts using beacon signal |
|
|
1561 | 1562 | # # hardwarePhaseShifts = self.__getHardwarePhaseDiff(self.dataOut.data_pre, pairslist, newheis, 10) |
|
|
1562 | 1563 | # # hardwarePhaseShifts = numpy.insert(hardwarePhaseShifts,centerReceiverIndex,0) |
|
|
1563 | # | |
|
|
1564 | # | |
|
|
1564 | 1565 | # else: |
|
|
1565 |
# hardwarePhaseShifts = numpy.zeros(5) |
|
|
|
1566 |
# |
|
|
|
1566 | # hardwarePhaseShifts = numpy.zeros(5) | |
|
|
1567 | # | |
|
|
1567 | 1568 | # voltsPShift = numpy.zeros((self.dataOut.data_pre.shape[0],self.dataOut.data_pre.shape[1],self.dataOut.data_pre.shape[2]), dtype = 'complex') |
|
|
1568 | 1569 | # for i in range(self.dataOut.data_pre.shape[0]): |
|
|
1569 | 1570 | # voltsPShift[i,:,:] = self.__shiftPhase(self.dataOut.data_pre[i,:,:], hardwarePhaseShifts[i]) |
|
|
1570 | 1571 | |
|
|
1571 | 1572 | #******************END OF REMOVING HARDWARE PHASE DIFFERENCES********* |
|
|
1572 | ||
|
|
1573 | ||
|
|
1573 | 1574 | #Remove DC |
|
|
1574 | 1575 | voltsDC = numpy.mean(voltsPShift,1) |
|
|
1575 | 1576 | voltsDC = numpy.mean(voltsDC,1) |
|
|
1576 | 1577 | for i in range(voltsDC.shape[0]): |
|
|
1577 | 1578 | voltsPShift[i] = voltsPShift[i] - voltsDC[i] |
|
|
1578 | ||
|
|
1579 |
#Don't considerate last heights, theyre used to calculate Hardware Phase Shift |
|
|
|
1579 | ||
|
|
1580 | #Don't considerate last heights, theyre used to calculate Hardware Phase Shift | |
|
|
1580 | 1581 | # voltsPShift = voltsPShift[:,:,:newheis[0][0]] |
|
|
1581 | ||
|
|
1582 | ||
|
|
1582 | 1583 | #************ FIND POWER OF DATA W/COH OR NON COH DETECTION (3.4) ********** |
|
|
1583 | 1584 | #Coherent Detection |
|
|
1584 | 1585 | if cohDetection: |
|
|
1585 | 1586 | #use coherent detection to get the net power |
|
|
1586 | 1587 | cohDet_thresh = cohDet_thresh*numpy.pi/180 |
|
|
1587 | 1588 | voltsPShift = self.__coherentDetection(voltsPShift, cohDet_timeStep, dataOut.timeInterval, pairslist0, cohDet_thresh) |
|
|
1588 | ||
|
|
1589 | ||
|
|
1589 | 1590 | #Non-coherent detection! |
|
|
1590 | 1591 | powerNet = numpy.nansum(numpy.abs(voltsPShift[:,:,:])**2,0) |
|
|
1591 | 1592 | #********** END OF COH/NON-COH POWER CALCULATION********************** |
|
|
1592 | ||
|
|
1593 | ||
|
|
1593 | 1594 | #********** FIND THE NOISE LEVEL AND POSSIBLE METEORS **************** |
|
|
1594 | 1595 | #Get noise |
|
|
1595 | 1596 | noise, noise1 = self.__getNoise(powerNet, noise_timeStep, dataOut.timeInterval) |
|
|
1596 | 1597 | # noise = self.getNoise1(powerNet, noise_timeStep, self.dataOut.timeInterval) |
|
|
1597 | 1598 | #Get signal threshold |
|
|
1598 | 1599 | signalThresh = noise_multiple*noise |
|
|
1599 | 1600 | #Meteor echoes detection |
|
|
1600 | 1601 | listMeteors = self.__findMeteors(powerNet, signalThresh) |
|
|
1601 | 1602 | #******* END OF NOISE LEVEL AND POSSIBLE METEORS CACULATION ********** |
|
|
1602 | ||
|
|
1603 | ||
|
|
1603 | 1604 | #************** REMOVE MULTIPLE DETECTIONS (3.5) *************************** |
|
|
1604 | 1605 | #Parameters |
|
|
1605 | 1606 | heiRange = dataOut.getHeiRange() |
|
|
1606 | 1607 | rangeInterval = heiRange[1] - heiRange[0] |
|
|
1607 | 1608 | rangeLimit = multDet_rangeLimit/rangeInterval |
|
|
1608 | 1609 | timeLimit = multDet_timeLimit/dataOut.timeInterval |
|
|
1609 | 1610 | #Multiple detection removals |
|
|
1610 | 1611 | listMeteors1 = self.__removeMultipleDetections(listMeteors, rangeLimit, timeLimit) |
|
|
1611 | 1612 | #************ END OF REMOVE MULTIPLE DETECTIONS ********************** |
|
|
1612 | ||
|
|
1613 | ||
|
|
1613 | 1614 | #********************* METEOR REESTIMATION (3.7, 3.8, 3.9, 3.10) ******************** |
|
|
1614 | 1615 | #Parameters |
|
|
1615 | 1616 | phaseThresh = phaseThresh*numpy.pi/180 |
|
|
1616 | 1617 | thresh = [phaseThresh, noise_multiple, SNRThresh] |
|
|
1617 | 1618 | #Meteor reestimation (Errors N 1, 6, 12, 17) |
|
|
1618 | 1619 | listMeteors2, listMeteorsPower, listMeteorsVolts = self.__meteorReestimation(listMeteors1, voltsPShift, pairslist0, thresh, noise, dataOut.timeInterval, dataOut.frequency) |
|
|
1619 | 1620 | # listMeteors2, listMeteorsPower, listMeteorsVolts = self.meteorReestimation3(listMeteors2, listMeteorsPower, listMeteorsVolts, voltsPShift, pairslist, thresh, noise) |
|
|
1620 | 1621 | #Estimation of decay times (Errors N 7, 8, 11) |
|
|
1621 | 1622 | listMeteors3 = self.__estimateDecayTime(listMeteors2, listMeteorsPower, dataOut.timeInterval, dataOut.frequency) |
|
|
1622 | 1623 | #******************* END OF METEOR REESTIMATION ******************* |
|
|
1623 | ||
|
|
1624 | ||
|
|
1624 | 1625 | #********************* METEOR PARAMETERS CALCULATION (3.11, 3.12, 3.13) ************************** |
|
|
1625 | 1626 | #Calculating Radial Velocity (Error N 15) |
|
|
1626 | 1627 | radialStdThresh = 10 |
|
|
1627 |
listMeteors4 = self.__getRadialVelocity(listMeteors3, listMeteorsVolts, radialStdThresh, pairslist0, dataOut.timeInterval) |
|
|
|
1628 | listMeteors4 = self.__getRadialVelocity(listMeteors3, listMeteorsVolts, radialStdThresh, pairslist0, dataOut.timeInterval) | |
|
|
1628 | 1629 | |
|
|
1629 | 1630 | if len(listMeteors4) > 0: |
|
|
1630 | 1631 | #Setting New Array |
|
|
1631 | 1632 | date = dataOut.utctime |
|
|
1632 | 1633 | arrayParameters = self.__setNewArrays(listMeteors4, date, heiRang) |
|
|
1633 | ||
|
|
1634 | ||
|
|
1634 | 1635 | #Correcting phase offset |
|
|
1635 | 1636 | if phaseOffsets != None: |
|
|
1636 | 1637 | phaseOffsets = numpy.array(phaseOffsets)*numpy.pi/180 |
|
|
1637 | 1638 | arrayParameters[:,8:12] = numpy.unwrap(arrayParameters[:,8:12] + phaseOffsets) |
|
|
1638 | ||
|
|
1639 | ||
|
|
1639 | 1640 | #Second Pairslist |
|
|
1640 | 1641 | pairsList = [] |
|
|
1641 | 1642 | pairx = (0,1) |
|
|
1642 | 1643 | pairy = (2,3) |
|
|
1643 | 1644 | pairsList.append(pairx) |
|
|
1644 | 1645 | pairsList.append(pairy) |
|
|
1645 | ||
|
|
1646 | ||
|
|
1646 | 1647 | jph = numpy.array([0,0,0,0]) |
|
|
1647 | 1648 | h = (hmin,hmax) |
|
|
1648 | 1649 | arrayParameters = meteorOps.getMeteorParams(arrayParameters, azimuth, h, pairsList, distances, jph) |
|
|
1649 | ||
|
|
1650 | ||
|
|
1650 | 1651 | # #Calculate AOA (Error N 3, 4) |
|
|
1651 | 1652 | # #JONES ET AL. 1998 |
|
|
1652 | 1653 | # error = arrayParameters[:,-1] |
|
|
1653 | 1654 | # AOAthresh = numpy.pi/8 |
|
|
1654 | 1655 | # phases = -arrayParameters[:,9:13] |
|
|
1655 | 1656 | # arrayParameters[:,4:7], arrayParameters[:,-1] = meteorOps.getAOA(phases, pairsList, error, AOAthresh, azimuth) |
|
|
1656 | # | |
|
|
1657 | # | |
|
|
1657 | 1658 | # #Calculate Heights (Error N 13 and 14) |
|
|
1658 | 1659 | # error = arrayParameters[:,-1] |
|
|
1659 | 1660 | # Ranges = arrayParameters[:,2] |
|
|
1660 | 1661 | # zenith = arrayParameters[:,5] |
|
|
1661 | 1662 | # arrayParameters[:,3], arrayParameters[:,-1] = meteorOps.getHeights(Ranges, zenith, error, hmin, hmax) |
|
|
1662 | 1663 | # error = arrayParameters[:,-1] |
|
|
1663 | 1664 | #********************* END OF PARAMETERS CALCULATION ************************** |
|
|
1664 | ||
|
|
1665 |
#***************************+ PASS DATA TO NEXT STEP ********************** |
|
|
|
1665 | ||
|
|
1666 | #***************************+ PASS DATA TO NEXT STEP ********************** | |
|
|
1666 | 1667 | # arrayFinal = arrayParameters.reshape((1,arrayParameters.shape[0],arrayParameters.shape[1])) |
|
|
1667 | 1668 | dataOut.data_param = arrayParameters |
|
|
1668 | ||
|
|
1669 | ||
|
|
1669 | 1670 | if arrayParameters is None: |
|
|
1670 | 1671 | dataOut.flagNoData = True |
|
|
1671 | 1672 | else: |
|
|
1672 | 1673 | dataOut.flagNoData = True |
|
|
1673 | ||
|
|
1674 | ||
|
|
1674 | 1675 | return |
|
|
1675 | ||
|
|
1676 | ||
|
|
1676 | 1677 | def __getHardwarePhaseDiff(self, voltage0, pairslist, newheis, n): |
|
|
1677 | ||
|
|
1678 | ||
|
|
1678 | 1679 | minIndex = min(newheis[0]) |
|
|
1679 | 1680 | maxIndex = max(newheis[0]) |
|
|
1680 | ||
|
|
1681 | ||
|
|
1681 | 1682 | voltage = voltage0[:,:,minIndex:maxIndex+1] |
|
|
1682 | 1683 | nLength = voltage.shape[1]/n |
|
|
1683 | 1684 | nMin = 0 |
|
|
1684 | 1685 | nMax = 0 |
|
|
1685 | 1686 | phaseOffset = numpy.zeros((len(pairslist),n)) |
|
|
1686 | ||
|
|
1687 | ||
|
|
1687 | 1688 | for i in range(n): |
|
|
1688 | 1689 | nMax += nLength |
|
|
1689 | 1690 | phaseCCF = -numpy.angle(self.__calculateCCF(voltage[:,nMin:nMax,:], pairslist, [0])) |
|
|
1690 | 1691 | phaseCCF = numpy.mean(phaseCCF, axis = 2) |
|
|
1691 |
phaseOffset[:,i] = phaseCCF.transpose() |
|
|
|
1692 | phaseOffset[:,i] = phaseCCF.transpose() | |
|
|
1692 | 1693 | nMin = nMax |
|
|
1693 | 1694 | # phaseDiff, phaseArrival = self.estimatePhaseDifference(voltage, pairslist) |
|
|
1694 | ||
|
|
1695 | ||
|
|
1695 | 1696 | #Remove Outliers |
|
|
1696 | 1697 | factor = 2 |
|
|
1697 | 1698 | wt = phaseOffset - signal.medfilt(phaseOffset,(1,5)) |
|
|
1698 | 1699 | dw = numpy.std(wt,axis = 1) |
|
|
1699 | 1700 | dw = dw.reshape((dw.size,1)) |
|
|
1700 |
ind = numpy.where(numpy.logical_or(wt>dw*factor,wt<-dw*factor)) |
|
|
|
1701 | ind = numpy.where(numpy.logical_or(wt>dw*factor,wt<-dw*factor)) | |
|
|
1701 | 1702 | phaseOffset[ind] = numpy.nan |
|
|
1702 |
phaseOffset = stats.nanmean(phaseOffset, axis=1) |
|
|
|
1703 | ||
|
|
1703 | phaseOffset = stats.nanmean(phaseOffset, axis=1) | |
|
|
1704 | ||
|
|
1704 | 1705 | return phaseOffset |
|
|
1705 | ||
|
|
1706 | ||
|
|
1706 | 1707 | def __shiftPhase(self, data, phaseShift): |
|
|
1707 | 1708 | #this will shift the phase of a complex number |
|
|
1708 |
dataShifted = numpy.abs(data) * numpy.exp((numpy.angle(data)+phaseShift)*1j) |
|
|
|
1709 | dataShifted = numpy.abs(data) * numpy.exp((numpy.angle(data)+phaseShift)*1j) | |
|
|
1709 | 1710 | return dataShifted |
|
|
1710 | ||
|
|
1711 | ||
|
|
1711 | 1712 | def __estimatePhaseDifference(self, array, pairslist): |
|
|
1712 | 1713 | nChannel = array.shape[0] |
|
|
1713 | 1714 | nHeights = array.shape[2] |
|
|
1714 | 1715 | numPairs = len(pairslist) |
|
|
1715 | 1716 | # phaseCCF = numpy.zeros((nChannel, 5, nHeights)) |
|
|
1716 | 1717 | phaseCCF = numpy.angle(self.__calculateCCF(array, pairslist, [-2,-1,0,1,2])) |
|
|
1717 | ||
|
|
1718 | ||
|
|
1718 | 1719 | #Correct phases |
|
|
1719 | 1720 | derPhaseCCF = phaseCCF[:,1:,:] - phaseCCF[:,0:-1,:] |
|
|
1720 | 1721 | indDer = numpy.where(numpy.abs(derPhaseCCF) > numpy.pi) |
|
|
1721 | ||
|
|
1722 |
if indDer[0].shape[0] > 0: |
|
|
|
1722 | ||
|
|
1723 | if indDer[0].shape[0] > 0: | |
|
|
1723 | 1724 | for i in range(indDer[0].shape[0]): |
|
|
1724 | 1725 | signo = -numpy.sign(derPhaseCCF[indDer[0][i],indDer[1][i],indDer[2][i]]) |
|
|
1725 | 1726 | phaseCCF[indDer[0][i],indDer[1][i]+1:,:] += signo*2*numpy.pi |
|
|
1726 | ||
|
|
1727 | ||
|
|
1727 | 1728 | # for j in range(numSides): |
|
|
1728 | 1729 | # phaseCCFAux = self.calculateCCF(arrayCenter, arraySides[j,:,:], [-2,1,0,1,2]) |
|
|
1729 | 1730 | # phaseCCF[j,:,:] = numpy.angle(phaseCCFAux) |
|
|
1730 | # | |
|
|
1731 | # | |
|
|
1731 | 1732 | #Linear |
|
|
1732 | 1733 | phaseInt = numpy.zeros((numPairs,1)) |
|
|
1733 | 1734 | angAllCCF = phaseCCF[:,[0,1,3,4],0] |
|
|
1734 | 1735 | for j in range(numPairs): |
|
|
1735 | 1736 | fit = stats.linregress([-2,-1,1,2],angAllCCF[j,:]) |
|
|
1736 | 1737 | phaseInt[j] = fit[1] |
|
|
1737 | 1738 | #Phase Differences |
|
|
1738 | 1739 | phaseDiff = phaseInt - phaseCCF[:,2,:] |
|
|
1739 | 1740 | phaseArrival = phaseInt.reshape(phaseInt.size) |
|
|
1740 | ||
|
|
1741 | ||
|
|
1741 | 1742 | #Dealias |
|
|
1742 | 1743 | phaseArrival = numpy.angle(numpy.exp(1j*phaseArrival)) |
|
|
1743 | 1744 | # indAlias = numpy.where(phaseArrival > numpy.pi) |
|
|
1744 | 1745 | # phaseArrival[indAlias] -= 2*numpy.pi |
|
|
1745 | 1746 | # indAlias = numpy.where(phaseArrival < -numpy.pi) |
|
|
1746 | 1747 | # phaseArrival[indAlias] += 2*numpy.pi |
|
|
1747 | ||
|
|
1748 | ||
|
|
1748 | 1749 | return phaseDiff, phaseArrival |
|
|
1749 | ||
|
|
1750 | ||
|
|
1750 | 1751 | def __coherentDetection(self, volts, timeSegment, timeInterval, pairslist, thresh): |
|
|
1751 | 1752 | #this function will run the coherent detection used in Holdworth et al. 2004 and return the net power |
|
|
1752 | 1753 | #find the phase shifts of each channel over 1 second intervals |
|
|
1753 | 1754 | #only look at ranges below the beacon signal |
|
|
1754 | 1755 | numProfPerBlock = numpy.ceil(timeSegment/timeInterval) |
|
|
1755 | 1756 | numBlocks = int(volts.shape[1]/numProfPerBlock) |
|
|
1756 | 1757 | numHeights = volts.shape[2] |
|
|
1757 | 1758 | nChannel = volts.shape[0] |
|
|
1758 | 1759 | voltsCohDet = volts.copy() |
|
|
1759 | ||
|
|
1760 | ||
|
|
1760 | 1761 | pairsarray = numpy.array(pairslist) |
|
|
1761 | 1762 | indSides = pairsarray[:,1] |
|
|
1762 | 1763 | # indSides = numpy.array(range(nChannel)) |
|
|
1763 | 1764 | # indSides = numpy.delete(indSides, indCenter) |
|
|
1764 | # | |
|
|
1765 | # | |
|
|
1765 | 1766 | # listCenter = numpy.array_split(volts[indCenter,:,:], numBlocks, 0) |
|
|
1766 | 1767 | listBlocks = numpy.array_split(volts, numBlocks, 1) |
|
|
1767 | ||
|
|
1768 | ||
|
|
1768 | 1769 | startInd = 0 |
|
|
1769 | 1770 | endInd = 0 |
|
|
1770 | ||
|
|
1771 | ||
|
|
1771 | 1772 | for i in range(numBlocks): |
|
|
1772 | 1773 | startInd = endInd |
|
|
1773 |
endInd = endInd + listBlocks[i].shape[1] |
|
|
|
1774 | ||
|
|
1774 | endInd = endInd + listBlocks[i].shape[1] | |
|
|
1775 | ||
|
|
1775 | 1776 | arrayBlock = listBlocks[i] |
|
|
1776 | 1777 | # arrayBlockCenter = listCenter[i] |
|
|
1777 | ||
|
|
1778 | ||
|
|
1778 | 1779 | #Estimate the Phase Difference |
|
|
1779 | 1780 | phaseDiff, aux = self.__estimatePhaseDifference(arrayBlock, pairslist) |
|
|
1780 | 1781 | #Phase Difference RMS |
|
|
1781 | 1782 | arrayPhaseRMS = numpy.abs(phaseDiff) |
|
|
1782 | 1783 | phaseRMSaux = numpy.sum(arrayPhaseRMS < thresh,0) |
|
|
1783 | 1784 | indPhase = numpy.where(phaseRMSaux==4) |
|
|
1784 | 1785 | #Shifting |
|
|
1785 | 1786 | if indPhase[0].shape[0] > 0: |
|
|
1786 | 1787 | for j in range(indSides.size): |
|
|
1787 | 1788 | arrayBlock[indSides[j],:,indPhase] = self.__shiftPhase(arrayBlock[indSides[j],:,indPhase], phaseDiff[j,indPhase].transpose()) |
|
|
1788 | 1789 | voltsCohDet[:,startInd:endInd,:] = arrayBlock |
|
|
1789 | ||
|
|
1790 | ||
|
|
1790 | 1791 | return voltsCohDet |
|
|
1791 | ||
|
|
1792 | ||
|
|
1792 | 1793 | def __calculateCCF(self, volts, pairslist ,laglist): |
|
|
1793 | ||
|
|
1794 | ||
|
|
1794 | 1795 | nHeights = volts.shape[2] |
|
|
1795 |
nPoints = volts.shape[1] |
|
|
|
1796 | nPoints = volts.shape[1] | |
|
|
1796 | 1797 | voltsCCF = numpy.zeros((len(pairslist), len(laglist), nHeights),dtype = 'complex') |
|
|
1797 | ||
|
|
1798 | ||
|
|
1798 | 1799 | for i in range(len(pairslist)): |
|
|
1799 | 1800 | volts1 = volts[pairslist[i][0]] |
|
|
1800 |
volts2 = volts[pairslist[i][1]] |
|
|
|
1801 | ||
|
|
1801 | volts2 = volts[pairslist[i][1]] | |
|
|
1802 | ||
|
|
1802 | 1803 | for t in range(len(laglist)): |
|
|
1803 |
idxT = laglist[t] |
|
|
|
1804 | idxT = laglist[t] | |
|
|
1804 | 1805 | if idxT >= 0: |
|
|
1805 | 1806 | vStacked = numpy.vstack((volts2[idxT:,:], |
|
|
1806 | 1807 | numpy.zeros((idxT, nHeights),dtype='complex'))) |
|
|
1807 | 1808 | else: |
|
|
1808 | 1809 | vStacked = numpy.vstack((numpy.zeros((-idxT, nHeights),dtype='complex'), |
|
|
1809 | 1810 | volts2[:(nPoints + idxT),:])) |
|
|
1810 | 1811 | voltsCCF[i,t,:] = numpy.sum((numpy.conjugate(volts1)*vStacked),axis=0) |
|
|
1811 | ||
|
|
1812 | ||
|
|
1812 | 1813 | vStacked = None |
|
|
1813 | 1814 | return voltsCCF |
|
|
1814 | ||
|
|
1815 | ||
|
|
1815 | 1816 | def __getNoise(self, power, timeSegment, timeInterval): |
|
|
1816 | 1817 | numProfPerBlock = numpy.ceil(timeSegment/timeInterval) |
|
|
1817 | 1818 | numBlocks = int(power.shape[0]/numProfPerBlock) |
|
|
1818 | 1819 | numHeights = power.shape[1] |
|
|
1819 | 1820 | |
|
|
1820 | 1821 | listPower = numpy.array_split(power, numBlocks, 0) |
|
|
1821 | 1822 | noise = numpy.zeros((power.shape[0], power.shape[1])) |
|
|
1822 | 1823 | noise1 = numpy.zeros((power.shape[0], power.shape[1])) |
|
|
1823 | ||
|
|
1824 | ||
|
|
1824 | 1825 | startInd = 0 |
|
|
1825 | 1826 | endInd = 0 |
|
|
1826 | ||
|
|
1827 | ||
|
|
1827 | 1828 | for i in range(numBlocks): #split por canal |
|
|
1828 | 1829 | startInd = endInd |
|
|
1829 |
endInd = endInd + listPower[i].shape[0] |
|
|
|
1830 | ||
|
|
1830 | endInd = endInd + listPower[i].shape[0] | |
|
|
1831 | ||
|
|
1831 | 1832 | arrayBlock = listPower[i] |
|
|
1832 | 1833 | noiseAux = numpy.mean(arrayBlock, 0) |
|
|
1833 | 1834 | # noiseAux = numpy.median(noiseAux) |
|
|
1834 | 1835 | # noiseAux = numpy.mean(arrayBlock) |
|
|
1835 |
noise[startInd:endInd,:] = noise[startInd:endInd,:] + noiseAux |
|
|
|
1836 | ||
|
|
1836 | noise[startInd:endInd,:] = noise[startInd:endInd,:] + noiseAux | |
|
|
1837 | ||
|
|
1837 | 1838 | noiseAux1 = numpy.mean(arrayBlock) |
|
|
1838 |
noise1[startInd:endInd,:] = noise1[startInd:endInd,:] + noiseAux1 |
|
|
|
1839 | ||
|
|
1839 | noise1[startInd:endInd,:] = noise1[startInd:endInd,:] + noiseAux1 | |
|
|
1840 | ||
|
|
1840 | 1841 | return noise, noise1 |
|
|
1841 | ||
|
|
1842 | ||
|
|
1842 | 1843 | def __findMeteors(self, power, thresh): |
|
|
1843 | 1844 | nProf = power.shape[0] |
|
|
1844 | 1845 | nHeights = power.shape[1] |
|
|
1845 | 1846 | listMeteors = [] |
|
|
1846 | ||
|
|
1847 | ||
|
|
1847 | 1848 | for i in range(nHeights): |
|
|
1848 | 1849 | powerAux = power[:,i] |
|
|
1849 | 1850 | threshAux = thresh[:,i] |
|
|
1850 | ||
|
|
1851 | ||
|
|
1851 | 1852 | indUPthresh = numpy.where(powerAux > threshAux)[0] |
|
|
1852 | 1853 | indDNthresh = numpy.where(powerAux <= threshAux)[0] |
|
|
1853 | ||
|
|
1854 | ||
|
|
1854 | 1855 | j = 0 |
|
|
1855 | ||
|
|
1856 | ||
|
|
1856 | 1857 | while (j < indUPthresh.size - 2): |
|
|
1857 | 1858 | if (indUPthresh[j + 2] == indUPthresh[j] + 2): |
|
|
1858 | 1859 | indDNAux = numpy.where(indDNthresh > indUPthresh[j]) |
|
|
1859 | 1860 | indDNthresh = indDNthresh[indDNAux] |
|
|
1860 | ||
|
|
1861 | ||
|
|
1861 | 1862 | if (indDNthresh.size > 0): |
|
|
1862 | 1863 | indEnd = indDNthresh[0] - 1 |
|
|
1863 | 1864 | indInit = indUPthresh[j] if isinstance(indUPthresh[j], (int, float)) else indUPthresh[j][0] ##CHECK!!!! |
|
|
1864 | ||
|
|
1865 | ||
|
|
1865 | 1866 | meteor = powerAux[indInit:indEnd + 1] |
|
|
1866 | 1867 | indPeak = meteor.argmax() + indInit |
|
|
1867 | 1868 | FLA = sum(numpy.conj(meteor)*numpy.hstack((meteor[1:],0))) |
|
|
1868 | ||
|
|
1869 | ||
|
|
1869 | 1870 | listMeteors.append(numpy.array([i,indInit,indPeak,indEnd,FLA])) #CHEQUEAR!!!!! |
|
|
1870 | 1871 | j = numpy.where(indUPthresh == indEnd)[0] + 1 |
|
|
1871 | 1872 | else: j+=1 |
|
|
1872 | 1873 | else: j+=1 |
|
|
1873 | ||
|
|
1874 | ||
|
|
1874 | 1875 | return listMeteors |
|
|
1875 | ||
|
|
1876 | ||
|
|
1876 | 1877 | def __removeMultipleDetections(self,listMeteors, rangeLimit, timeLimit): |
|
|
1877 | ||
|
|
1878 |
arrayMeteors = numpy.asarray(listMeteors) |
|
|
|
1878 | ||
|
|
1879 | arrayMeteors = numpy.asarray(listMeteors) | |
|
|
1879 | 1880 | listMeteors1 = [] |
|
|
1880 | ||
|
|
1881 | ||
|
|
1881 | 1882 | while arrayMeteors.shape[0] > 0: |
|
|
1882 | 1883 | FLAs = arrayMeteors[:,4] |
|
|
1883 | 1884 | maxFLA = FLAs.argmax() |
|
|
1884 | 1885 | listMeteors1.append(arrayMeteors[maxFLA,:]) |
|
|
1885 | ||
|
|
1886 | ||
|
|
1886 | 1887 | MeteorInitTime = arrayMeteors[maxFLA,1] |
|
|
1887 | 1888 | MeteorEndTime = arrayMeteors[maxFLA,3] |
|
|
1888 | 1889 | MeteorHeight = arrayMeteors[maxFLA,0] |
|
|
1889 | ||
|
|
1890 | ||
|
|
1890 | 1891 | #Check neighborhood |
|
|
1891 | 1892 | maxHeightIndex = MeteorHeight + rangeLimit |
|
|
1892 | 1893 | minHeightIndex = MeteorHeight - rangeLimit |
|
|
1893 | 1894 | minTimeIndex = MeteorInitTime - timeLimit |
|
|
1894 | 1895 | maxTimeIndex = MeteorEndTime + timeLimit |
|
|
1895 | ||
|
|
1896 | ||
|
|
1896 | 1897 | #Check Heights |
|
|
1897 | 1898 | indHeight = numpy.logical_and(arrayMeteors[:,0] >= minHeightIndex, arrayMeteors[:,0] <= maxHeightIndex) |
|
|
1898 | 1899 | indTime = numpy.logical_and(arrayMeteors[:,3] >= minTimeIndex, arrayMeteors[:,1] <= maxTimeIndex) |
|
|
1899 | 1900 | indBoth = numpy.where(numpy.logical_and(indTime,indHeight)) |
|
|
1900 | ||
|
|
1901 | ||
|
|
1901 | 1902 | arrayMeteors = numpy.delete(arrayMeteors, indBoth, axis = 0) |
|
|
1902 | ||
|
|
1903 | ||
|
|
1903 | 1904 | return listMeteors1 |
|
|
1904 | ||
|
|
1905 | ||
|
|
1905 | 1906 | def __meteorReestimation(self, listMeteors, volts, pairslist, thresh, noise, timeInterval,frequency): |
|
|
1906 | 1907 | numHeights = volts.shape[2] |
|
|
1907 | 1908 | nChannel = volts.shape[0] |
|
|
1908 | ||
|
|
1909 | ||
|
|
1909 | 1910 | thresholdPhase = thresh[0] |
|
|
1910 | 1911 | thresholdNoise = thresh[1] |
|
|
1911 | 1912 | thresholdDB = float(thresh[2]) |
|
|
1912 | ||
|
|
1913 | ||
|
|
1913 | 1914 | thresholdDB1 = 10**(thresholdDB/10) |
|
|
1914 | 1915 | pairsarray = numpy.array(pairslist) |
|
|
1915 | 1916 | indSides = pairsarray[:,1] |
|
|
1916 | ||
|
|
1917 | ||
|
|
1917 | 1918 | pairslist1 = list(pairslist) |
|
|
1918 | 1919 | pairslist1.append((0,4)) |
|
|
1919 | 1920 | pairslist1.append((1,3)) |
|
|
1920 | 1921 | |
|
|
1921 | 1922 | listMeteors1 = [] |
|
|
1922 | 1923 | listPowerSeries = [] |
|
|
1923 | 1924 | listVoltageSeries = [] |
|
|
1924 | 1925 | #volts has the war data |
|
|
1925 | ||
|
|
1926 | ||
|
|
1926 | 1927 | if frequency == 30.175e6: |
|
|
1927 | 1928 | timeLag = 45*10**-3 |
|
|
1928 | 1929 | else: |
|
|
1929 | 1930 | timeLag = 15*10**-3 |
|
|
1930 | 1931 | lag = int(numpy.ceil(timeLag/timeInterval)) |
|
|
1931 | ||
|
|
1932 | ||
|
|
1932 | 1933 | for i in range(len(listMeteors)): |
|
|
1933 | ||
|
|
1934 | ||
|
|
1934 | 1935 | ###################### 3.6 - 3.7 PARAMETERS REESTIMATION ######################### |
|
|
1935 | 1936 | meteorAux = numpy.zeros(16) |
|
|
1936 | ||
|
|
1937 | ||
|
|
1937 | 1938 | #Loading meteor Data (mHeight, mStart, mPeak, mEnd) |
|
|
1938 | 1939 | mHeight = int(listMeteors[i][0]) |
|
|
1939 | 1940 | mStart = int(listMeteors[i][1]) |
|
|
1940 | 1941 | mPeak = int(listMeteors[i][2]) |
|
|
1941 | 1942 | mEnd = int(listMeteors[i][3]) |
|
|
1942 | ||
|
|
1943 | ||
|
|
1943 | 1944 | #get the volt data between the start and end times of the meteor |
|
|
1944 | 1945 | meteorVolts = volts[:,mStart:mEnd+1,mHeight] |
|
|
1945 | 1946 | meteorVolts = meteorVolts.reshape(meteorVolts.shape[0], meteorVolts.shape[1], 1) |
|
|
1946 | ||
|
|
1947 | ||
|
|
1947 | 1948 | #3.6. Phase Difference estimation |
|
|
1948 | 1949 | phaseDiff, aux = self.__estimatePhaseDifference(meteorVolts, pairslist) |
|
|
1949 | ||
|
|
1950 | ||
|
|
1950 | 1951 | #3.7. Phase difference removal & meteor start, peak and end times reestimated |
|
|
1951 | 1952 | #meteorVolts0.- all Channels, all Profiles |
|
|
1952 | 1953 | meteorVolts0 = volts[:,:,mHeight] |
|
|
1953 | 1954 | meteorThresh = noise[:,mHeight]*thresholdNoise |
|
|
1954 | 1955 | meteorNoise = noise[:,mHeight] |
|
|
1955 | 1956 | meteorVolts0[indSides,:] = self.__shiftPhase(meteorVolts0[indSides,:], phaseDiff) #Phase Shifting |
|
|
1956 | 1957 | powerNet0 = numpy.nansum(numpy.abs(meteorVolts0)**2, axis = 0) #Power |
|
|
1957 | ||
|
|
1958 | ||
|
|
1958 | 1959 | #Times reestimation |
|
|
1959 | 1960 | mStart1 = numpy.where(powerNet0[:mPeak] < meteorThresh[:mPeak])[0] |
|
|
1960 | 1961 | if mStart1.size > 0: |
|
|
1961 | 1962 | mStart1 = mStart1[-1] + 1 |
|
|
1962 | ||
|
|
1963 |
else: |
|
|
|
1963 | ||
|
|
1964 | else: | |
|
|
1964 | 1965 | mStart1 = mPeak |
|
|
1965 | ||
|
|
1966 | ||
|
|
1966 | 1967 | mEnd1 = numpy.where(powerNet0[mPeak:] < meteorThresh[mPeak:])[0][0] + mPeak - 1 |
|
|
1967 | 1968 | mEndDecayTime1 = numpy.where(powerNet0[mPeak:] < meteorNoise[mPeak:])[0] |
|
|
1968 | 1969 | if mEndDecayTime1.size == 0: |
|
|
1969 | 1970 | mEndDecayTime1 = powerNet0.size |
|
|
1970 | 1971 | else: |
|
|
1971 | 1972 | mEndDecayTime1 = mEndDecayTime1[0] + mPeak - 1 |
|
|
1972 | 1973 | # mPeak1 = meteorVolts0[mStart1:mEnd1 + 1].argmax() |
|
|
1973 | ||
|
|
1974 | ||
|
|
1974 | 1975 | #meteorVolts1.- all Channels, from start to end |
|
|
1975 | 1976 | meteorVolts1 = meteorVolts0[:,mStart1:mEnd1 + 1] |
|
|
1976 | 1977 | meteorVolts2 = meteorVolts0[:,mPeak + lag:mEnd1 + 1] |
|
|
1977 | 1978 | if meteorVolts2.shape[1] == 0: |
|
|
1978 | 1979 | meteorVolts2 = meteorVolts0[:,mPeak:mEnd1 + 1] |
|
|
1979 | 1980 | meteorVolts1 = meteorVolts1.reshape(meteorVolts1.shape[0], meteorVolts1.shape[1], 1) |
|
|
1980 | 1981 | meteorVolts2 = meteorVolts2.reshape(meteorVolts2.shape[0], meteorVolts2.shape[1], 1) |
|
|
1981 | 1982 | ##################### END PARAMETERS REESTIMATION ######################### |
|
|
1982 | ||
|
|
1983 | ||
|
|
1983 | 1984 | ##################### 3.8 PHASE DIFFERENCE REESTIMATION ######################## |
|
|
1984 | 1985 | # if mEnd1 - mStart1 > 4: #Error Number 6: echo less than 5 samples long; too short for analysis |
|
|
1985 |
if meteorVolts2.shape[1] > 0: |
|
|
|
1986 | if meteorVolts2.shape[1] > 0: | |
|
|
1986 | 1987 | #Phase Difference re-estimation |
|
|
1987 | 1988 | phaseDiff1, phaseDiffint = self.__estimatePhaseDifference(meteorVolts2, pairslist1) #Phase Difference Estimation |
|
|
1988 | 1989 | # phaseDiff1, phaseDiffint = self.estimatePhaseDifference(meteorVolts2, pairslist) |
|
|
1989 | 1990 | meteorVolts2 = meteorVolts2.reshape(meteorVolts2.shape[0], meteorVolts2.shape[1]) |
|
|
1990 | 1991 | phaseDiff11 = numpy.reshape(phaseDiff1, (phaseDiff1.shape[0],1)) |
|
|
1991 | 1992 | meteorVolts2[indSides,:] = self.__shiftPhase(meteorVolts2[indSides,:], phaseDiff11[0:4]) #Phase Shifting |
|
|
1992 | ||
|
|
1993 | ||
|
|
1993 | 1994 | #Phase Difference RMS |
|
|
1994 | 1995 | phaseRMS1 = numpy.sqrt(numpy.mean(numpy.square(phaseDiff1))) |
|
|
1995 | 1996 | powerNet1 = numpy.nansum(numpy.abs(meteorVolts1[:,:])**2,0) |
|
|
1996 | 1997 | #Data from Meteor |
|
|
1997 | 1998 | mPeak1 = powerNet1.argmax() + mStart1 |
|
|
1998 | 1999 | mPeakPower1 = powerNet1.max() |
|
|
1999 | 2000 | noiseAux = sum(noise[mStart1:mEnd1 + 1,mHeight]) |
|
|
2000 | 2001 | mSNR1 = (sum(powerNet1)-noiseAux)/noiseAux |
|
|
2001 | 2002 | Meteor1 = numpy.array([mHeight, mStart1, mPeak1, mEnd1, mPeakPower1, mSNR1, phaseRMS1]) |
|
|
2002 | 2003 | Meteor1 = numpy.hstack((Meteor1,phaseDiffint)) |
|
|
2003 | 2004 | PowerSeries = powerNet0[mStart1:mEndDecayTime1 + 1] |
|
|
2004 | 2005 | #Vectorize |
|
|
2005 | 2006 | meteorAux[0:7] = [mHeight, mStart1, mPeak1, mEnd1, mPeakPower1, mSNR1, phaseRMS1] |
|
|
2006 | 2007 | meteorAux[7:11] = phaseDiffint[0:4] |
|
|
2007 | ||
|
|
2008 | ||
|
|
2008 | 2009 | #Rejection Criterions |
|
|
2009 | 2010 | if phaseRMS1 > thresholdPhase: #Error Number 17: Phase variation |
|
|
2010 | 2011 | meteorAux[-1] = 17 |
|
|
2011 | 2012 | elif mSNR1 < thresholdDB1: #Error Number 1: SNR < threshold dB |
|
|
2012 | 2013 | meteorAux[-1] = 1 |
|
|
2013 | ||
|
|
2014 | ||
|
|
2015 |
else: |
|
|
|
2014 | ||
|
|
2015 | ||
|
|
2016 | else: | |
|
|
2016 | 2017 | meteorAux[0:4] = [mHeight, mStart, mPeak, mEnd] |
|
|
2017 | 2018 | meteorAux[-1] = 6 #Error Number 6: echo less than 5 samples long; too short for analysis |
|
|
2018 | 2019 | PowerSeries = 0 |
|
|
2019 | ||
|
|
2020 | ||
|
|
2020 | 2021 | listMeteors1.append(meteorAux) |
|
|
2021 | 2022 | listPowerSeries.append(PowerSeries) |
|
|
2022 | 2023 | listVoltageSeries.append(meteorVolts1) |
|
|
2023 | ||
|
|
2024 |
return listMeteors1, listPowerSeries, listVoltageSeries |
|
|
|
2025 | ||
|
|
2024 | ||
|
|
2025 | return listMeteors1, listPowerSeries, listVoltageSeries | |
|
|
2026 | ||
|
|
2026 | 2027 | def __estimateDecayTime(self, listMeteors, listPower, timeInterval, frequency): |
|
|
2027 | ||
|
|
2028 | ||
|
|
2028 | 2029 | threshError = 10 |
|
|
2029 | 2030 | #Depending if it is 30 or 50 MHz |
|
|
2030 | 2031 | if frequency == 30.175e6: |
|
|
2031 | 2032 | timeLag = 45*10**-3 |
|
|
2032 | 2033 | else: |
|
|
2033 | 2034 | timeLag = 15*10**-3 |
|
|
2034 | 2035 | lag = numpy.ceil(timeLag/timeInterval) |
|
|
2035 | ||
|
|
2036 | ||
|
|
2036 | 2037 | listMeteors1 = [] |
|
|
2037 | ||
|
|
2038 | ||
|
|
2038 | 2039 | for i in range(len(listMeteors)): |
|
|
2039 | 2040 | meteorPower = listPower[i] |
|
|
2040 | 2041 | meteorAux = listMeteors[i] |
|
|
2041 | ||
|
|
2042 | ||
|
|
2042 | 2043 | if meteorAux[-1] == 0: |
|
|
2043 | 2044 | |
|
|
2044 |
try: |
|
|
|
2045 | try: | |
|
|
2045 | 2046 | indmax = meteorPower.argmax() |
|
|
2046 | 2047 | indlag = indmax + lag |
|
|
2047 | ||
|
|
2048 | ||
|
|
2048 | 2049 | y = meteorPower[indlag:] |
|
|
2049 | 2050 | x = numpy.arange(0, y.size)*timeLag |
|
|
2050 | ||
|
|
2051 | ||
|
|
2051 | 2052 | #first guess |
|
|
2052 | 2053 | a = y[0] |
|
|
2053 | 2054 | tau = timeLag |
|
|
2054 | 2055 | #exponential fit |
|
|
2055 | 2056 | popt, pcov = optimize.curve_fit(self.__exponential_function, x, y, p0 = [a, tau]) |
|
|
2056 | 2057 | y1 = self.__exponential_function(x, *popt) |
|
|
2057 | 2058 | #error estimation |
|
|
2058 | 2059 | error = sum((y - y1)**2)/(numpy.var(y)*(y.size - popt.size)) |
|
|
2059 | ||
|
|
2060 | ||
|
|
2060 | 2061 | decayTime = popt[1] |
|
|
2061 | 2062 | riseTime = indmax*timeInterval |
|
|
2062 | 2063 | meteorAux[11:13] = [decayTime, error] |
|
|
2063 | ||
|
|
2064 | ||
|
|
2064 | 2065 | #Table items 7, 8 and 11 |
|
|
2065 | 2066 | if (riseTime > 0.3): #Number 7: Echo rise exceeds 0.3s |
|
|
2066 |
meteorAux[-1] = 7 |
|
|
|
2067 | meteorAux[-1] = 7 | |
|
|
2067 | 2068 | elif (decayTime < 2*riseTime) : #Number 8: Echo decay time less than than twice rise time |
|
|
2068 | 2069 | meteorAux[-1] = 8 |
|
|
2069 | 2070 | if (error > threshError): #Number 11: Poor fit to amplitude for estimation of decay time |
|
|
2070 |
meteorAux[-1] = 11 |
|
|
|
2071 | ||
|
|
2072 | ||
|
|
2071 | meteorAux[-1] = 11 | |
|
|
2072 | ||
|
|
2073 | ||
|
|
2073 | 2074 | except: |
|
|
2074 |
meteorAux[-1] = 11 |
|
|
|
2075 | ||
|
|
2076 | ||
|
|
2075 | meteorAux[-1] = 11 | |
|
|
2076 | ||
|
|
2077 | ||
|
|
2077 | 2078 | listMeteors1.append(meteorAux) |
|
|
2078 | ||
|
|
2079 | ||
|
|
2079 | 2080 | return listMeteors1 |
|
|
2080 | 2081 | |
|
|
2081 | 2082 | #Exponential Function |
|
|
2082 | 2083 | |
|
|
2083 | 2084 | def __exponential_function(self, x, a, tau): |
|
|
2084 | 2085 | y = a*numpy.exp(-x/tau) |
|
|
2085 | 2086 | return y |
|
|
2086 | ||
|
|
2087 | ||
|
|
2087 | 2088 | def __getRadialVelocity(self, listMeteors, listVolts, radialStdThresh, pairslist, timeInterval): |
|
|
2088 | ||
|
|
2089 | ||
|
|
2089 | 2090 | pairslist1 = list(pairslist) |
|
|
2090 | 2091 | pairslist1.append((0,4)) |
|
|
2091 | 2092 | pairslist1.append((1,3)) |
|
|
2092 | 2093 | numPairs = len(pairslist1) |
|
|
2093 | 2094 | #Time Lag |
|
|
2094 | 2095 | timeLag = 45*10**-3 |
|
|
2095 | 2096 | c = 3e8 |
|
|
2096 | 2097 | lag = numpy.ceil(timeLag/timeInterval) |
|
|
2097 | 2098 | freq = 30.175e6 |
|
|
2098 | ||
|
|
2099 | ||
|
|
2099 | 2100 | listMeteors1 = [] |
|
|
2100 | ||
|
|
2101 | ||
|
|
2101 | 2102 | for i in range(len(listMeteors)): |
|
|
2102 | 2103 | meteorAux = listMeteors[i] |
|
|
2103 | 2104 | if meteorAux[-1] == 0: |
|
|
2104 | 2105 | mStart = listMeteors[i][1] |
|
|
2105 |
mPeak = listMeteors[i][2] |
|
|
|
2106 | mPeak = listMeteors[i][2] | |
|
|
2106 | 2107 | mLag = mPeak - mStart + lag |
|
|
2107 | ||
|
|
2108 | ||
|
|
2108 | 2109 | #get the volt data between the start and end times of the meteor |
|
|
2109 | 2110 | meteorVolts = listVolts[i] |
|
|
2110 | 2111 | meteorVolts = meteorVolts.reshape(meteorVolts.shape[0], meteorVolts.shape[1], 1) |
|
|
2111 | 2112 | |
|
|
2112 | 2113 | #Get CCF |
|
|
2113 | 2114 | allCCFs = self.__calculateCCF(meteorVolts, pairslist1, [-2,-1,0,1,2]) |
|
|
2114 | ||
|
|
2115 | ||
|
|
2115 | 2116 | #Method 2 |
|
|
2116 | 2117 | slopes = numpy.zeros(numPairs) |
|
|
2117 | 2118 | time = numpy.array([-2,-1,1,2])*timeInterval |
|
|
2118 | 2119 | angAllCCF = numpy.angle(allCCFs[:,[0,4,2,3],0]) |
|
|
2119 | ||
|
|
2120 | ||
|
|
2120 | 2121 | #Correct phases |
|
|
2121 | 2122 | derPhaseCCF = angAllCCF[:,1:] - angAllCCF[:,0:-1] |
|
|
2122 | 2123 | indDer = numpy.where(numpy.abs(derPhaseCCF) > numpy.pi) |
|
|
2123 | ||
|
|
2124 |
if indDer[0].shape[0] > 0: |
|
|
|
2124 | ||
|
|
2125 | if indDer[0].shape[0] > 0: | |
|
|
2125 | 2126 | for i in range(indDer[0].shape[0]): |
|
|
2126 | 2127 | signo = -numpy.sign(derPhaseCCF[indDer[0][i],indDer[1][i]]) |
|
|
2127 | 2128 | angAllCCF[indDer[0][i],indDer[1][i]+1:] += signo*2*numpy.pi |
|
|
2128 | 2129 | |
|
|
2129 | 2130 | # fit = scipy.stats.linregress(numpy.array([-2,-1,1,2])*timeInterval, numpy.array([phaseLagN2s[i],phaseLagN1s[i],phaseLag1s[i],phaseLag2s[i]])) |
|
|
2130 | 2131 | for j in range(numPairs): |
|
|
2131 | 2132 | fit = stats.linregress(time, angAllCCF[j,:]) |
|
|
2132 | 2133 | slopes[j] = fit[0] |
|
|
2133 | ||
|
|
2134 | ||
|
|
2134 | 2135 | #Remove Outlier |
|
|
2135 | 2136 | # indOut = numpy.argmax(numpy.abs(slopes - numpy.mean(slopes))) |
|
|
2136 | 2137 | # slopes = numpy.delete(slopes,indOut) |
|
|
2137 | 2138 | # indOut = numpy.argmax(numpy.abs(slopes - numpy.mean(slopes))) |
|
|
2138 | 2139 | # slopes = numpy.delete(slopes,indOut) |
|
|
2139 | ||
|
|
2140 | ||
|
|
2140 | 2141 | radialVelocity = -numpy.mean(slopes)*(0.25/numpy.pi)*(c/freq) |
|
|
2141 | 2142 | radialError = numpy.std(slopes)*(0.25/numpy.pi)*(c/freq) |
|
|
2142 | 2143 | meteorAux[-2] = radialError |
|
|
2143 | 2144 | meteorAux[-3] = radialVelocity |
|
|
2144 | ||
|
|
2145 | ||
|
|
2145 | 2146 | #Setting Error |
|
|
2146 | 2147 | #Number 15: Radial Drift velocity or projected horizontal velocity exceeds 200 m/s |
|
|
2147 |
if numpy.abs(radialVelocity) > 200: |
|
|
|
2148 | if numpy.abs(radialVelocity) > 200: | |
|
|
2148 | 2149 | meteorAux[-1] = 15 |
|
|
2149 | 2150 | #Number 12: Poor fit to CCF variation for estimation of radial drift velocity |
|
|
2150 | 2151 | elif radialError > radialStdThresh: |
|
|
2151 | 2152 | meteorAux[-1] = 12 |
|
|
2152 | ||
|
|
2153 | ||
|
|
2153 | 2154 | listMeteors1.append(meteorAux) |
|
|
2154 | 2155 | return listMeteors1 |
|
|
2155 | ||
|
|
2156 | ||
|
|
2156 | 2157 | def __setNewArrays(self, listMeteors, date, heiRang): |
|
|
2157 | ||
|
|
2158 | ||
|
|
2158 | 2159 | #New arrays |
|
|
2159 | 2160 | arrayMeteors = numpy.array(listMeteors) |
|
|
2160 | 2161 | arrayParameters = numpy.zeros((len(listMeteors), 13)) |
|
|
2161 | ||
|
|
2162 | ||
|
|
2162 | 2163 | #Date inclusion |
|
|
2163 | 2164 | # date = re.findall(r'\((.*?)\)', date) |
|
|
2164 | 2165 | # date = date[0].split(',') |
|
|
2165 | 2166 | # date = map(int, date) |
|
|
2166 | # | |
|
|
2167 | # | |
|
|
2167 | 2168 | # if len(date)<6: |
|
|
2168 | 2169 | # date.append(0) |
|
|
2169 | # | |
|
|
2170 | # | |
|
|
2170 | 2171 | # date = [date[0]*10000 + date[1]*100 + date[2], date[3]*10000 + date[4]*100 + date[5]] |
|
|
2171 | 2172 | # arrayDate = numpy.tile(date, (len(listMeteors), 1)) |
|
|
2172 | 2173 | arrayDate = numpy.tile(date, (len(listMeteors))) |
|
|
2173 | ||
|
|
2174 | ||
|
|
2174 | 2175 | #Meteor array |
|
|
2175 | 2176 | # arrayMeteors[:,0] = heiRang[arrayMeteors[:,0].astype(int)] |
|
|
2176 | 2177 | # arrayMeteors = numpy.hstack((arrayDate, arrayMeteors)) |
|
|
2177 | ||
|
|
2178 | ||
|
|
2178 | 2179 | #Parameters Array |
|
|
2179 | 2180 | arrayParameters[:,0] = arrayDate #Date |
|
|
2180 | 2181 | arrayParameters[:,1] = heiRang[arrayMeteors[:,0].astype(int)] #Range |
|
|
2181 | 2182 | arrayParameters[:,6:8] = arrayMeteors[:,-3:-1] #Radial velocity and its error |
|
|
2182 | 2183 | arrayParameters[:,8:12] = arrayMeteors[:,7:11] #Phases |
|
|
2183 | 2184 | arrayParameters[:,-1] = arrayMeteors[:,-1] #Error |
|
|
2184 | 2185 | |
|
|
2185 | ||
|
|
2186 | ||
|
|
2186 | 2187 | return arrayParameters |
|
|
2187 | ||
|
|
2188 | ||
|
|
2188 | 2189 | class CorrectSMPhases(Operation): |
|
|
2189 | ||
|
|
2190 | ||
|
|
2190 | 2191 | def run(self, dataOut, phaseOffsets, hmin = 50, hmax = 150, azimuth = 45, channelPositions = None): |
|
|
2191 | ||
|
|
2192 | ||
|
|
2192 | 2193 | arrayParameters = dataOut.data_param |
|
|
2193 | 2194 | pairsList = [] |
|
|
2194 | 2195 | pairx = (0,1) |
|
|
2195 | 2196 | pairy = (2,3) |
|
|
2196 | 2197 | pairsList.append(pairx) |
|
|
2197 | 2198 | pairsList.append(pairy) |
|
|
2198 | 2199 | jph = numpy.zeros(4) |
|
|
2199 | ||
|
|
2200 | ||
|
|
2200 | 2201 | phaseOffsets = numpy.array(phaseOffsets)*numpy.pi/180 |
|
|
2201 | 2202 | # arrayParameters[:,8:12] = numpy.unwrap(arrayParameters[:,8:12] + phaseOffsets) |
|
|
2202 | 2203 | arrayParameters[:,8:12] = numpy.angle(numpy.exp(1j*(arrayParameters[:,8:12] + phaseOffsets))) |
|
|
2203 | ||
|
|
2204 | ||
|
|
2204 | 2205 | meteorOps = SMOperations() |
|
|
2205 | 2206 | if channelPositions is None: |
|
|
2206 | 2207 | # channelPositions = [(2.5,0), (0,2.5), (0,0), (0,4.5), (-2,0)] #T |
|
|
2207 | 2208 | channelPositions = [(4.5,2), (2,4.5), (2,2), (2,0), (0,2)] #Estrella |
|
|
2208 | ||
|
|
2209 | ||
|
|
2209 | 2210 | pairslist0, distances = meteorOps.getPhasePairs(channelPositions) |
|
|
2210 | 2211 | h = (hmin,hmax) |
|
|
2211 | ||
|
|
2212 | ||
|
|
2212 | 2213 | arrayParameters = meteorOps.getMeteorParams(arrayParameters, azimuth, h, pairsList, distances, jph) |
|
|
2213 | ||
|
|
2214 | ||
|
|
2214 | 2215 | dataOut.data_param = arrayParameters |
|
|
2215 | 2216 | return |
|
|
2216 | 2217 | |
|
|
2217 | 2218 | class SMPhaseCalibration(Operation): |
|
|
2218 | ||
|
|
2219 | ||
|
|
2219 | 2220 | __buffer = None |
|
|
2220 | 2221 | |
|
|
2221 | 2222 | __initime = None |
|
|
2222 | 2223 | |
|
|
2223 | 2224 | __dataReady = False |
|
|
2224 | ||
|
|
2225 | ||
|
|
2225 | 2226 | __isConfig = False |
|
|
2226 | ||
|
|
2227 | ||
|
|
2227 | 2228 | def __checkTime(self, currentTime, initTime, paramInterval, outputInterval): |
|
|
2228 | ||
|
|
2229 | ||
|
|
2229 | 2230 | dataTime = currentTime + paramInterval |
|
|
2230 | 2231 | deltaTime = dataTime - initTime |
|
|
2231 | ||
|
|
2232 | ||
|
|
2232 | 2233 | if deltaTime >= outputInterval or deltaTime < 0: |
|
|
2233 | 2234 | return True |
|
|
2234 | ||
|
|
2235 | ||
|
|
2235 | 2236 | return False |
|
|
2236 | ||
|
|
2237 | ||
|
|
2237 | 2238 | def __getGammas(self, pairs, d, phases): |
|
|
2238 | 2239 | gammas = numpy.zeros(2) |
|
|
2239 | ||
|
|
2240 | ||
|
|
2240 | 2241 | for i in range(len(pairs)): |
|
|
2241 | ||
|
|
2242 | ||
|
|
2242 | 2243 | pairi = pairs[i] |
|
|
2243 | ||
|
|
2244 | ||
|
|
2244 | 2245 | phip3 = phases[:,pairi[1]] |
|
|
2245 | 2246 | d3 = d[pairi[1]] |
|
|
2246 | 2247 | phip2 = phases[:,pairi[0]] |
|
|
2247 | 2248 | d2 = d[pairi[0]] |
|
|
2248 | 2249 | #Calculating gamma |
|
|
2249 | 2250 | # jdcos = alp1/(k*d1) |
|
|
2250 | 2251 | # jgamma = numpy.angle(numpy.exp(1j*(d0*alp1/d1 - alp0))) |
|
|
2251 | 2252 | jgamma = -phip2*d3/d2 - phip3 |
|
|
2252 | 2253 | jgamma = numpy.angle(numpy.exp(1j*jgamma)) |
|
|
2253 | 2254 | # jgamma[jgamma>numpy.pi] -= 2*numpy.pi |
|
|
2254 | 2255 | # jgamma[jgamma<-numpy.pi] += 2*numpy.pi |
|
|
2255 | ||
|
|
2256 | ||
|
|
2256 | 2257 | #Revised distribution |
|
|
2257 | 2258 | jgammaArray = numpy.hstack((jgamma,jgamma+0.5*numpy.pi,jgamma-0.5*numpy.pi)) |
|
|
2258 | 2259 | |
|
|
2259 | 2260 | #Histogram |
|
|
2260 | 2261 | nBins = 64.0 |
|
|
2261 | 2262 | rmin = -0.5*numpy.pi |
|
|
2262 | 2263 | rmax = 0.5*numpy.pi |
|
|
2263 | 2264 | phaseHisto = numpy.histogram(jgammaArray, bins=nBins, range=(rmin,rmax)) |
|
|
2264 | ||
|
|
2265 | ||
|
|
2265 | 2266 | meteorsY = phaseHisto[0] |
|
|
2266 | 2267 | phasesX = phaseHisto[1][:-1] |
|
|
2267 | 2268 | width = phasesX[1] - phasesX[0] |
|
|
2268 | 2269 | phasesX += width/2 |
|
|
2269 | ||
|
|
2270 | ||
|
|
2270 | 2271 | #Gaussian aproximation |
|
|
2271 | 2272 | bpeak = meteorsY.argmax() |
|
|
2272 | 2273 | peak = meteorsY.max() |
|
|
2273 | 2274 | jmin = bpeak - 5 |
|
|
2274 | 2275 | jmax = bpeak + 5 + 1 |
|
|
2275 | ||
|
|
2276 | ||
|
|
2276 | 2277 | if jmin<0: |
|
|
2277 | 2278 | jmin = 0 |
|
|
2278 | 2279 | jmax = 6 |
|
|
2279 | 2280 | elif jmax > meteorsY.size: |
|
|
2280 | 2281 | jmin = meteorsY.size - 6 |
|
|
2281 | 2282 | jmax = meteorsY.size |
|
|
2282 | ||
|
|
2283 | ||
|
|
2283 | 2284 | x0 = numpy.array([peak,bpeak,50]) |
|
|
2284 | 2285 | coeff = optimize.leastsq(self.__residualFunction, x0, args=(meteorsY[jmin:jmax], phasesX[jmin:jmax])) |
|
|
2285 | ||
|
|
2286 | ||
|
|
2286 | 2287 | #Gammas |
|
|
2287 | 2288 | gammas[i] = coeff[0][1] |
|
|
2288 | ||
|
|
2289 | ||
|
|
2289 | 2290 | return gammas |
|
|
2290 | ||
|
|
2291 | ||
|
|
2291 | 2292 | def __residualFunction(self, coeffs, y, t): |
|
|
2292 | ||
|
|
2293 | ||
|
|
2293 | 2294 | return y - self.__gauss_function(t, coeffs) |
|
|
2294 | 2295 | |
|
|
2295 | 2296 | def __gauss_function(self, t, coeffs): |
|
|
2296 | ||
|
|
2297 | ||
|
|
2297 | 2298 | return coeffs[0]*numpy.exp(-0.5*((t - coeffs[1]) / coeffs[2])**2) |
|
|
2298 | 2299 | |
|
|
2299 | 2300 | def __getPhases(self, azimuth, h, pairsList, d, gammas, meteorsArray): |
|
|
2300 | 2301 | meteorOps = SMOperations() |
|
|
2301 | 2302 | nchan = 4 |
|
|
2302 | 2303 | pairx = pairsList[0] |
|
|
2303 | 2304 | pairy = pairsList[1] |
|
|
2304 | 2305 | center_xangle = 0 |
|
|
2305 | 2306 | center_yangle = 0 |
|
|
2306 | 2307 | range_angle = numpy.array([10*numpy.pi,numpy.pi,numpy.pi/2,numpy.pi/4]) |
|
|
2307 | 2308 | ntimes = len(range_angle) |
|
|
2308 | ||
|
|
2309 | ||
|
|
2309 | 2310 | nstepsx = 20.0 |
|
|
2310 | 2311 | nstepsy = 20.0 |
|
|
2311 | ||
|
|
2312 | ||
|
|
2312 | 2313 | for iz in range(ntimes): |
|
|
2313 | 2314 | min_xangle = -range_angle[iz]/2 + center_xangle |
|
|
2314 | 2315 | max_xangle = range_angle[iz]/2 + center_xangle |
|
|
2315 | 2316 | min_yangle = -range_angle[iz]/2 + center_yangle |
|
|
2316 | 2317 | max_yangle = range_angle[iz]/2 + center_yangle |
|
|
2317 | ||
|
|
2318 | ||
|
|
2318 | 2319 | inc_x = (max_xangle-min_xangle)/nstepsx |
|
|
2319 | 2320 | inc_y = (max_yangle-min_yangle)/nstepsy |
|
|
2320 | ||
|
|
2321 | ||
|
|
2321 | 2322 | alpha_y = numpy.arange(nstepsy)*inc_y + min_yangle |
|
|
2322 | 2323 | alpha_x = numpy.arange(nstepsx)*inc_x + min_xangle |
|
|
2323 | 2324 | penalty = numpy.zeros((nstepsx,nstepsy)) |
|
|
2324 | 2325 | jph_array = numpy.zeros((nchan,nstepsx,nstepsy)) |
|
|
2325 | 2326 | jph = numpy.zeros(nchan) |
|
|
2326 | ||
|
|
2327 | ||
|
|
2327 | 2328 | # Iterations looking for the offset |
|
|
2328 | 2329 | for iy in range(int(nstepsy)): |
|
|
2329 | 2330 | for ix in range(int(nstepsx)): |
|
|
2330 | 2331 | jph[pairy[1]] = alpha_y[iy] |
|
|
2331 |
jph[pairy[0]] = -gammas[1] - alpha_y[iy]*d[pairy[1]]/d[pairy[0]] |
|
|
|
2332 | ||
|
|
2332 | jph[pairy[0]] = -gammas[1] - alpha_y[iy]*d[pairy[1]]/d[pairy[0]] | |
|
|
2333 | ||
|
|
2333 | 2334 | jph[pairx[1]] = alpha_x[ix] |
|
|
2334 | 2335 | jph[pairx[0]] = -gammas[0] - alpha_x[ix]*d[pairx[1]]/d[pairx[0]] |
|
|
2335 | ||
|
|
2336 | ||
|
|
2336 | 2337 | jph_array[:,ix,iy] = jph |
|
|
2337 | ||
|
|
2338 | ||
|
|
2338 | 2339 | meteorsArray1 = meteorOps.getMeteorParams(meteorsArray, azimuth, h, pairsList, d, jph) |
|
|
2339 | 2340 | error = meteorsArray1[:,-1] |
|
|
2340 | 2341 | ind1 = numpy.where(error==0)[0] |
|
|
2341 | 2342 | penalty[ix,iy] = ind1.size |
|
|
2342 | ||
|
|
2343 | ||
|
|
2343 | 2344 | i,j = numpy.unravel_index(penalty.argmax(), penalty.shape) |
|
|
2344 | 2345 | phOffset = jph_array[:,i,j] |
|
|
2345 | ||
|
|
2346 | ||
|
|
2346 | 2347 | center_xangle = phOffset[pairx[1]] |
|
|
2347 | 2348 | center_yangle = phOffset[pairy[1]] |
|
|
2348 | ||
|
|
2349 | ||
|
|
2349 | 2350 | phOffset = numpy.angle(numpy.exp(1j*jph_array[:,i,j])) |
|
|
2350 |
phOffset = phOffset*180/numpy.pi |
|
|
|
2351 | phOffset = phOffset*180/numpy.pi | |
|
|
2351 | 2352 | return phOffset |
|
|
2352 | ||
|
|
2353 | ||
|
|
2353 | ||
|
|
2354 | ||
|
|
2354 | 2355 | def run(self, dataOut, hmin, hmax, channelPositions=None, nHours = 1): |
|
|
2355 | ||
|
|
2356 | ||
|
|
2356 | 2357 | dataOut.flagNoData = True |
|
|
2357 |
self.__dataReady = False |
|
|
|
2358 | self.__dataReady = False | |
|
|
2358 | 2359 | dataOut.outputInterval = nHours*3600 |
|
|
2359 | ||
|
|
2360 | ||
|
|
2360 | 2361 | if self.__isConfig == False: |
|
|
2361 | 2362 | # self.__initime = dataOut.datatime.replace(minute = 0, second = 0, microsecond = 03) |
|
|
2362 | 2363 | #Get Initial LTC time |
|
|
2363 | 2364 | self.__initime = datetime.datetime.utcfromtimestamp(dataOut.utctime) |
|
|
2364 | 2365 | self.__initime = (self.__initime.replace(minute = 0, second = 0, microsecond = 0) - datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
2365 | 2366 | |
|
|
2366 | 2367 | self.__isConfig = True |
|
|
2367 | ||
|
|
2368 | ||
|
|
2368 | 2369 | if self.__buffer is None: |
|
|
2369 | 2370 | self.__buffer = dataOut.data_param.copy() |
|
|
2370 | 2371 | |
|
|
2371 | 2372 | else: |
|
|
2372 | 2373 | self.__buffer = numpy.vstack((self.__buffer, dataOut.data_param)) |
|
|
2373 | ||
|
|
2374 | ||
|
|
2374 | 2375 | self.__dataReady = self.__checkTime(dataOut.utctime, self.__initime, dataOut.paramInterval, dataOut.outputInterval) #Check if the buffer is ready |
|
|
2375 | ||
|
|
2376 | ||
|
|
2376 | 2377 | if self.__dataReady: |
|
|
2377 | 2378 | dataOut.utctimeInit = self.__initime |
|
|
2378 | 2379 | self.__initime += dataOut.outputInterval #to erase time offset |
|
|
2379 | ||
|
|
2380 | ||
|
|
2380 | 2381 | freq = dataOut.frequency |
|
|
2381 | 2382 | c = dataOut.C #m/s |
|
|
2382 | 2383 | lamb = c/freq |
|
|
2383 | 2384 | k = 2*numpy.pi/lamb |
|
|
2384 | 2385 | azimuth = 0 |
|
|
2385 | 2386 | h = (hmin, hmax) |
|
|
2386 | 2387 | pairs = ((0,1),(2,3)) |
|
|
2387 | ||
|
|
2388 | ||
|
|
2388 | 2389 | if channelPositions is None: |
|
|
2389 | 2390 | # channelPositions = [(2.5,0), (0,2.5), (0,0), (0,4.5), (-2,0)] #T |
|
|
2390 | 2391 | channelPositions = [(4.5,2), (2,4.5), (2,2), (2,0), (0,2)] #Estrella |
|
|
2391 | 2392 | meteorOps = SMOperations() |
|
|
2392 | 2393 | pairslist0, distances = meteorOps.getPhasePairs(channelPositions) |
|
|
2393 | 2394 | |
|
|
2394 | 2395 | # distances1 = [-distances[0]*lamb, distances[1]*lamb, -distances[2]*lamb, distances[3]*lamb] |
|
|
2395 | ||
|
|
2396 | ||
|
|
2396 | 2397 | meteorsArray = self.__buffer |
|
|
2397 | 2398 | error = meteorsArray[:,-1] |
|
|
2398 | 2399 | boolError = (error==0)|(error==3)|(error==4)|(error==13)|(error==14) |
|
|
2399 | 2400 | ind1 = numpy.where(boolError)[0] |
|
|
2400 | 2401 | meteorsArray = meteorsArray[ind1,:] |
|
|
2401 | 2402 | meteorsArray[:,-1] = 0 |
|
|
2402 | 2403 | phases = meteorsArray[:,8:12] |
|
|
2403 | ||
|
|
2404 | ||
|
|
2404 | 2405 | #Calculate Gammas |
|
|
2405 | 2406 | gammas = self.__getGammas(pairs, distances, phases) |
|
|
2406 | 2407 | # gammas = numpy.array([-21.70409463,45.76935864])*numpy.pi/180 |
|
|
2407 | 2408 | #Calculate Phases |
|
|
2408 | 2409 | phasesOff = self.__getPhases(azimuth, h, pairs, distances, gammas, meteorsArray) |
|
|
2409 | 2410 | phasesOff = phasesOff.reshape((1,phasesOff.size)) |
|
|
2410 | 2411 | dataOut.data_output = -phasesOff |
|
|
2411 | 2412 | dataOut.flagNoData = False |
|
|
2412 | 2413 | dataOut.channelList = pairslist0 |
|
|
2413 | 2414 | self.__buffer = None |
|
|
2414 | ||
|
|
2415 | ||
|
|
2415 | ||
|
|
2416 | ||
|
|
2416 | 2417 | return |
|
|
2417 | ||
|
|
2418 | ||
|
|
2418 | 2419 | class SMOperations(): |
|
|
2419 | ||
|
|
2420 | ||
|
|
2420 | 2421 | def __init__(self): |
|
|
2421 | ||
|
|
2422 | ||
|
|
2422 | 2423 | return |
|
|
2423 | ||
|
|
2424 | ||
|
|
2424 | 2425 | def getMeteorParams(self, arrayParameters0, azimuth, h, pairsList, distances, jph): |
|
|
2425 | ||
|
|
2426 | ||
|
|
2426 | 2427 | arrayParameters = arrayParameters0.copy() |
|
|
2427 | 2428 | hmin = h[0] |
|
|
2428 | 2429 | hmax = h[1] |
|
|
2429 | ||
|
|
2430 | ||
|
|
2430 | 2431 | #Calculate AOA (Error N 3, 4) |
|
|
2431 | 2432 | #JONES ET AL. 1998 |
|
|
2432 | 2433 | AOAthresh = numpy.pi/8 |
|
|
2433 | 2434 | error = arrayParameters[:,-1] |
|
|
2434 | 2435 | phases = -arrayParameters[:,8:12] + jph |
|
|
2435 | 2436 | # phases = numpy.unwrap(phases) |
|
|
2436 | 2437 | arrayParameters[:,3:6], arrayParameters[:,-1] = self.__getAOA(phases, pairsList, distances, error, AOAthresh, azimuth) |
|
|
2437 | ||
|
|
2438 | ||
|
|
2438 | 2439 | #Calculate Heights (Error N 13 and 14) |
|
|
2439 | 2440 | error = arrayParameters[:,-1] |
|
|
2440 | 2441 | Ranges = arrayParameters[:,1] |
|
|
2441 | 2442 | zenith = arrayParameters[:,4] |
|
|
2442 | 2443 | arrayParameters[:,2], arrayParameters[:,-1] = self.__getHeights(Ranges, zenith, error, hmin, hmax) |
|
|
2443 | ||
|
|
2444 | ||
|
|
2444 | 2445 | #----------------------- Get Final data ------------------------------------ |
|
|
2445 | 2446 | # error = arrayParameters[:,-1] |
|
|
2446 | 2447 | # ind1 = numpy.where(error==0)[0] |
|
|
2447 | 2448 | # arrayParameters = arrayParameters[ind1,:] |
|
|
2448 | ||
|
|
2449 | ||
|
|
2449 | 2450 | return arrayParameters |
|
|
2450 | ||
|
|
2451 | ||
|
|
2451 | 2452 | def __getAOA(self, phases, pairsList, directions, error, AOAthresh, azimuth): |
|
|
2452 | ||
|
|
2453 | ||
|
|
2453 | 2454 | arrayAOA = numpy.zeros((phases.shape[0],3)) |
|
|
2454 | 2455 | cosdir0, cosdir = self.__getDirectionCosines(phases, pairsList,directions) |
|
|
2455 | ||
|
|
2456 | ||
|
|
2456 | 2457 | arrayAOA[:,:2] = self.__calculateAOA(cosdir, azimuth) |
|
|
2457 | 2458 | cosDirError = numpy.sum(numpy.abs(cosdir0 - cosdir), axis = 1) |
|
|
2458 | 2459 | arrayAOA[:,2] = cosDirError |
|
|
2459 | ||
|
|
2460 | ||
|
|
2460 | 2461 | azimuthAngle = arrayAOA[:,0] |
|
|
2461 | 2462 | zenithAngle = arrayAOA[:,1] |
|
|
2462 | ||
|
|
2463 | ||
|
|
2463 | 2464 | #Setting Error |
|
|
2464 | 2465 | indError = numpy.where(numpy.logical_or(error == 3, error == 4))[0] |
|
|
2465 | 2466 | error[indError] = 0 |
|
|
2466 | 2467 | #Number 3: AOA not fesible |
|
|
2467 | 2468 | indInvalid = numpy.where(numpy.logical_and((numpy.logical_or(numpy.isnan(zenithAngle), numpy.isnan(azimuthAngle))),error == 0))[0] |
|
|
2468 |
error[indInvalid] = 3 |
|
|
|
2469 | error[indInvalid] = 3 | |
|
|
2469 | 2470 | #Number 4: Large difference in AOAs obtained from different antenna baselines |
|
|
2470 | 2471 | indInvalid = numpy.where(numpy.logical_and(cosDirError > AOAthresh,error == 0))[0] |
|
|
2471 |
error[indInvalid] = 4 |
|
|
|
2472 | error[indInvalid] = 4 | |
|
|
2472 | 2473 | return arrayAOA, error |
|
|
2473 | ||
|
|
2474 | ||
|
|
2474 | 2475 | def __getDirectionCosines(self, arrayPhase, pairsList, distances): |
|
|
2475 | ||
|
|
2476 | ||
|
|
2476 | 2477 | #Initializing some variables |
|
|
2477 | 2478 | ang_aux = numpy.array([-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8])*2*numpy.pi |
|
|
2478 | 2479 | ang_aux = ang_aux.reshape(1,ang_aux.size) |
|
|
2479 | ||
|
|
2480 | ||
|
|
2480 | 2481 | cosdir = numpy.zeros((arrayPhase.shape[0],2)) |
|
|
2481 | 2482 | cosdir0 = numpy.zeros((arrayPhase.shape[0],2)) |
|
|
2482 | ||
|
|
2483 | ||
|
|
2483 | ||
|
|
2484 | ||
|
|
2484 | 2485 | for i in range(2): |
|
|
2485 | 2486 | ph0 = arrayPhase[:,pairsList[i][0]] |
|
|
2486 | 2487 | ph1 = arrayPhase[:,pairsList[i][1]] |
|
|
2487 | 2488 | d0 = distances[pairsList[i][0]] |
|
|
2488 | 2489 | d1 = distances[pairsList[i][1]] |
|
|
2489 | ||
|
|
2490 |
ph0_aux = ph0 + ph1 |
|
|
|
2490 | ||
|
|
2491 | ph0_aux = ph0 + ph1 | |
|
|
2491 | 2492 | ph0_aux = numpy.angle(numpy.exp(1j*ph0_aux)) |
|
|
2492 | 2493 | # ph0_aux[ph0_aux > numpy.pi] -= 2*numpy.pi |
|
|
2493 |
# ph0_aux[ph0_aux < -numpy.pi] += 2*numpy.pi |
|
|
|
2494 | # ph0_aux[ph0_aux < -numpy.pi] += 2*numpy.pi | |
|
|
2494 | 2495 | #First Estimation |
|
|
2495 | 2496 | cosdir0[:,i] = (ph0_aux)/(2*numpy.pi*(d0 - d1)) |
|
|
2496 | ||
|
|
2497 | ||
|
|
2497 | 2498 | #Most-Accurate Second Estimation |
|
|
2498 | 2499 | phi1_aux = ph0 - ph1 |
|
|
2499 | 2500 | phi1_aux = phi1_aux.reshape(phi1_aux.size,1) |
|
|
2500 | 2501 | #Direction Cosine 1 |
|
|
2501 | 2502 | cosdir1 = (phi1_aux + ang_aux)/(2*numpy.pi*(d0 + d1)) |
|
|
2502 | ||
|
|
2503 | ||
|
|
2503 | 2504 | #Searching the correct Direction Cosine |
|
|
2504 | 2505 | cosdir0_aux = cosdir0[:,i] |
|
|
2505 | 2506 | cosdir0_aux = cosdir0_aux.reshape(cosdir0_aux.size,1) |
|
|
2506 | 2507 | #Minimum Distance |
|
|
2507 | 2508 | cosDiff = (cosdir1 - cosdir0_aux)**2 |
|
|
2508 | 2509 | indcos = cosDiff.argmin(axis = 1) |
|
|
2509 | 2510 | #Saving Value obtained |
|
|
2510 | 2511 | cosdir[:,i] = cosdir1[numpy.arange(len(indcos)),indcos] |
|
|
2511 | ||
|
|
2512 | ||
|
|
2512 | 2513 | return cosdir0, cosdir |
|
|
2513 | ||
|
|
2514 | ||
|
|
2514 | 2515 | def __calculateAOA(self, cosdir, azimuth): |
|
|
2515 | 2516 | cosdirX = cosdir[:,0] |
|
|
2516 | 2517 | cosdirY = cosdir[:,1] |
|
|
2517 | ||
|
|
2518 | ||
|
|
2518 | 2519 | zenithAngle = numpy.arccos(numpy.sqrt(1 - cosdirX**2 - cosdirY**2))*180/numpy.pi |
|
|
2519 | 2520 | azimuthAngle = numpy.arctan2(cosdirX,cosdirY)*180/numpy.pi + azimuth#0 deg north, 90 deg east |
|
|
2520 | 2521 | angles = numpy.vstack((azimuthAngle, zenithAngle)).transpose() |
|
|
2521 | ||
|
|
2522 | ||
|
|
2522 | 2523 | return angles |
|
|
2523 | ||
|
|
2524 | ||
|
|
2524 | 2525 | def __getHeights(self, Ranges, zenith, error, minHeight, maxHeight): |
|
|
2525 | ||
|
|
2526 | ||
|
|
2526 | 2527 | Ramb = 375 #Ramb = c/(2*PRF) |
|
|
2527 | 2528 | Re = 6371 #Earth Radius |
|
|
2528 | 2529 | heights = numpy.zeros(Ranges.shape) |
|
|
2529 | ||
|
|
2530 | ||
|
|
2530 | 2531 | R_aux = numpy.array([0,1,2])*Ramb |
|
|
2531 | 2532 | R_aux = R_aux.reshape(1,R_aux.size) |
|
|
2532 | 2533 | |
|
|
2533 | 2534 | Ranges = Ranges.reshape(Ranges.size,1) |
|
|
2534 | ||
|
|
2535 | ||
|
|
2535 | 2536 | Ri = Ranges + R_aux |
|
|
2536 | 2537 | hi = numpy.sqrt(Re**2 + Ri**2 + (2*Re*numpy.cos(zenith*numpy.pi/180)*Ri.transpose()).transpose()) - Re |
|
|
2537 | ||
|
|
2538 | ||
|
|
2538 | 2539 | #Check if there is a height between 70 and 110 km |
|
|
2539 | 2540 | h_bool = numpy.sum(numpy.logical_and(hi > minHeight, hi < maxHeight), axis = 1) |
|
|
2540 | 2541 | ind_h = numpy.where(h_bool == 1)[0] |
|
|
2541 | ||
|
|
2542 | ||
|
|
2542 | 2543 | hCorr = hi[ind_h, :] |
|
|
2543 | 2544 | ind_hCorr = numpy.where(numpy.logical_and(hi > minHeight, hi < maxHeight)) |
|
|
2544 | ||
|
|
2545 |
hCorr = hi[ind_hCorr] |
|
|
|
2545 | ||
|
|
2546 | hCorr = hi[ind_hCorr] | |
|
|
2546 | 2547 | heights[ind_h] = hCorr |
|
|
2547 | ||
|
|
2548 | ||
|
|
2548 | 2549 | #Setting Error |
|
|
2549 | 2550 | #Number 13: Height unresolvable echo: not valid height within 70 to 110 km |
|
|
2550 |
#Number 14: Height ambiguous echo: more than one possible height within 70 to 110 km |
|
|
|
2551 | #Number 14: Height ambiguous echo: more than one possible height within 70 to 110 km | |
|
|
2551 | 2552 | indError = numpy.where(numpy.logical_or(error == 13, error == 14))[0] |
|
|
2552 | 2553 | error[indError] = 0 |
|
|
2553 |
indInvalid2 = numpy.where(numpy.logical_and(h_bool > 1, error == 0))[0] |
|
|
|
2554 | indInvalid2 = numpy.where(numpy.logical_and(h_bool > 1, error == 0))[0] | |
|
|
2554 | 2555 | error[indInvalid2] = 14 |
|
|
2555 | 2556 | indInvalid1 = numpy.where(numpy.logical_and(h_bool == 0, error == 0))[0] |
|
|
2556 |
error[indInvalid1] = 13 |
|
|
|
2557 | ||
|
|
2557 | error[indInvalid1] = 13 | |
|
|
2558 | ||
|
|
2558 | 2559 | return heights, error |
|
|
2559 | ||
|
|
2560 | ||
|
|
2560 | 2561 | def getPhasePairs(self, channelPositions): |
|
|
2561 | 2562 | chanPos = numpy.array(channelPositions) |
|
|
2562 | 2563 | listOper = list(itertools.combinations(range(5),2)) |
|
|
2563 | ||
|
|
2564 | ||
|
|
2564 | 2565 | distances = numpy.zeros(4) |
|
|
2565 | 2566 | axisX = [] |
|
|
2566 | 2567 | axisY = [] |
|
|
2567 | 2568 | distX = numpy.zeros(3) |
|
|
2568 | 2569 | distY = numpy.zeros(3) |
|
|
2569 | 2570 | ix = 0 |
|
|
2570 | 2571 | iy = 0 |
|
|
2571 | ||
|
|
2572 | ||
|
|
2572 | 2573 | pairX = numpy.zeros((2,2)) |
|
|
2573 | 2574 | pairY = numpy.zeros((2,2)) |
|
|
2574 | ||
|
|
2575 | ||
|
|
2575 | 2576 | for i in range(len(listOper)): |
|
|
2576 | 2577 | pairi = listOper[i] |
|
|
2577 | ||
|
|
2578 | ||
|
|
2578 | 2579 | posDif = numpy.abs(chanPos[pairi[0],:] - chanPos[pairi[1],:]) |
|
|
2579 | ||
|
|
2580 | ||
|
|
2580 | 2581 | if posDif[0] == 0: |
|
|
2581 | 2582 | axisY.append(pairi) |
|
|
2582 | 2583 | distY[iy] = posDif[1] |
|
|
2583 | 2584 | iy += 1 |
|
|
2584 | 2585 | elif posDif[1] == 0: |
|
|
2585 | 2586 | axisX.append(pairi) |
|
|
2586 | 2587 | distX[ix] = posDif[0] |
|
|
2587 | 2588 | ix += 1 |
|
|
2588 | ||
|
|
2589 | ||
|
|
2589 | 2590 | for i in range(2): |
|
|
2590 | 2591 | if i==0: |
|
|
2591 | 2592 | dist0 = distX |
|
|
2592 | 2593 | axis0 = axisX |
|
|
2593 | 2594 | else: |
|
|
2594 | 2595 | dist0 = distY |
|
|
2595 | 2596 | axis0 = axisY |
|
|
2596 | ||
|
|
2597 | ||
|
|
2597 | 2598 | side = numpy.argsort(dist0)[:-1] |
|
|
2598 | 2599 | axis0 = numpy.array(axis0)[side,:] |
|
|
2599 | 2600 | chanC = int(numpy.intersect1d(axis0[0,:], axis0[1,:])[0]) |
|
|
2600 | 2601 | axis1 = numpy.unique(numpy.reshape(axis0,4)) |
|
|
2601 | 2602 | side = axis1[axis1 != chanC] |
|
|
2602 | 2603 | diff1 = chanPos[chanC,i] - chanPos[side[0],i] |
|
|
2603 | 2604 | diff2 = chanPos[chanC,i] - chanPos[side[1],i] |
|
|
2604 |
if diff1<0: |
|
|
|
2605 | if diff1<0: | |
|
|
2605 | 2606 | chan2 = side[0] |
|
|
2606 | 2607 | d2 = numpy.abs(diff1) |
|
|
2607 | 2608 | chan1 = side[1] |
|
|
2608 | 2609 | d1 = numpy.abs(diff2) |
|
|
2609 | 2610 | else: |
|
|
2610 | 2611 | chan2 = side[1] |
|
|
2611 | 2612 | d2 = numpy.abs(diff2) |
|
|
2612 | 2613 | chan1 = side[0] |
|
|
2613 | 2614 | d1 = numpy.abs(diff1) |
|
|
2614 | ||
|
|
2615 | ||
|
|
2615 | 2616 | if i==0: |
|
|
2616 | 2617 | chanCX = chanC |
|
|
2617 | 2618 | chan1X = chan1 |
|
|
2618 | 2619 | chan2X = chan2 |
|
|
2619 | 2620 | distances[0:2] = numpy.array([d1,d2]) |
|
|
2620 | 2621 | else: |
|
|
2621 | 2622 | chanCY = chanC |
|
|
2622 | 2623 | chan1Y = chan1 |
|
|
2623 | 2624 | chan2Y = chan2 |
|
|
2624 | 2625 | distances[2:4] = numpy.array([d1,d2]) |
|
|
2625 | 2626 | # axisXsides = numpy.reshape(axisX[ix,:],4) |
|
|
2626 | # | |
|
|
2627 | # | |
|
|
2627 | 2628 | # channelCentX = int(numpy.intersect1d(pairX[0,:], pairX[1,:])[0]) |
|
|
2628 | 2629 | # channelCentY = int(numpy.intersect1d(pairY[0,:], pairY[1,:])[0]) |
|
|
2629 | # | |
|
|
2630 | # | |
|
|
2630 | 2631 | # ind25X = numpy.where(pairX[0,:] != channelCentX)[0][0] |
|
|
2631 | 2632 | # ind20X = numpy.where(pairX[1,:] != channelCentX)[0][0] |
|
|
2632 | 2633 | # channel25X = int(pairX[0,ind25X]) |
|
|
2633 | 2634 | # channel20X = int(pairX[1,ind20X]) |
|
|
2634 | 2635 | # ind25Y = numpy.where(pairY[0,:] != channelCentY)[0][0] |
|
|
2635 | 2636 | # ind20Y = numpy.where(pairY[1,:] != channelCentY)[0][0] |
|
|
2636 | 2637 | # channel25Y = int(pairY[0,ind25Y]) |
|
|
2637 | 2638 | # channel20Y = int(pairY[1,ind20Y]) |
|
|
2638 | ||
|
|
2639 | ||
|
|
2639 | 2640 | # pairslist = [(channelCentX, channel25X),(channelCentX, channel20X),(channelCentY,channel25Y),(channelCentY, channel20Y)] |
|
|
2640 |
pairslist = [(chanCX, chan1X),(chanCX, chan2X),(chanCY,chan1Y),(chanCY, chan2Y)] |
|
|
|
2641 | ||
|
|
2641 | pairslist = [(chanCX, chan1X),(chanCX, chan2X),(chanCY,chan1Y),(chanCY, chan2Y)] | |
|
|
2642 | ||
|
|
2642 | 2643 | return pairslist, distances |
|
|
2643 | 2644 | # def __getAOA(self, phases, pairsList, error, AOAthresh, azimuth): |
|
|
2644 | # | |
|
|
2645 | # | |
|
|
2645 | 2646 | # arrayAOA = numpy.zeros((phases.shape[0],3)) |
|
|
2646 | 2647 | # cosdir0, cosdir = self.__getDirectionCosines(phases, pairsList) |
|
|
2647 | # | |
|
|
2648 | # | |
|
|
2648 | 2649 | # arrayAOA[:,:2] = self.__calculateAOA(cosdir, azimuth) |
|
|
2649 | 2650 | # cosDirError = numpy.sum(numpy.abs(cosdir0 - cosdir), axis = 1) |
|
|
2650 | 2651 | # arrayAOA[:,2] = cosDirError |
|
|
2651 | # | |
|
|
2652 | # | |
|
|
2652 | 2653 | # azimuthAngle = arrayAOA[:,0] |
|
|
2653 | 2654 | # zenithAngle = arrayAOA[:,1] |
|
|
2654 | # | |
|
|
2655 | # | |
|
|
2655 | 2656 | # #Setting Error |
|
|
2656 | 2657 | # #Number 3: AOA not fesible |
|
|
2657 | 2658 | # indInvalid = numpy.where(numpy.logical_and((numpy.logical_or(numpy.isnan(zenithAngle), numpy.isnan(azimuthAngle))),error == 0))[0] |
|
|
2658 |
# error[indInvalid] = 3 |
|
|
|
2659 | # error[indInvalid] = 3 | |
|
|
2659 | 2660 | # #Number 4: Large difference in AOAs obtained from different antenna baselines |
|
|
2660 | 2661 | # indInvalid = numpy.where(numpy.logical_and(cosDirError > AOAthresh,error == 0))[0] |
|
|
2661 |
# error[indInvalid] = 4 |
|
|
|
2662 | # error[indInvalid] = 4 | |
|
|
2662 | 2663 | # return arrayAOA, error |
|
|
2663 | # | |
|
|
2664 | # | |
|
|
2664 | 2665 | # def __getDirectionCosines(self, arrayPhase, pairsList): |
|
|
2665 | # | |
|
|
2666 | # | |
|
|
2666 | 2667 | # #Initializing some variables |
|
|
2667 | 2668 | # ang_aux = numpy.array([-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8])*2*numpy.pi |
|
|
2668 | 2669 | # ang_aux = ang_aux.reshape(1,ang_aux.size) |
|
|
2669 | # | |
|
|
2670 | # | |
|
|
2670 | 2671 | # cosdir = numpy.zeros((arrayPhase.shape[0],2)) |
|
|
2671 | 2672 | # cosdir0 = numpy.zeros((arrayPhase.shape[0],2)) |
|
|
2672 | # | |
|
|
2673 | # | |
|
|
2673 | # | |
|
|
2674 | # | |
|
|
2674 | 2675 | # for i in range(2): |
|
|
2675 | 2676 | # #First Estimation |
|
|
2676 | 2677 | # phi0_aux = arrayPhase[:,pairsList[i][0]] + arrayPhase[:,pairsList[i][1]] |
|
|
2677 | 2678 | # #Dealias |
|
|
2678 | 2679 | # indcsi = numpy.where(phi0_aux > numpy.pi) |
|
|
2679 |
# phi0_aux[indcsi] -= 2*numpy.pi |
|
|
|
2680 | # phi0_aux[indcsi] -= 2*numpy.pi | |
|
|
2680 | 2681 | # indcsi = numpy.where(phi0_aux < -numpy.pi) |
|
|
2681 |
# phi0_aux[indcsi] += 2*numpy.pi |
|
|
|
2682 | # phi0_aux[indcsi] += 2*numpy.pi | |
|
|
2682 | 2683 | # #Direction Cosine 0 |
|
|
2683 | 2684 | # cosdir0[:,i] = -(phi0_aux)/(2*numpy.pi*0.5) |
|
|
2684 | # | |
|
|
2685 | # | |
|
|
2685 | 2686 | # #Most-Accurate Second Estimation |
|
|
2686 | 2687 | # phi1_aux = arrayPhase[:,pairsList[i][0]] - arrayPhase[:,pairsList[i][1]] |
|
|
2687 | 2688 | # phi1_aux = phi1_aux.reshape(phi1_aux.size,1) |
|
|
2688 | 2689 | # #Direction Cosine 1 |
|
|
2689 | 2690 | # cosdir1 = -(phi1_aux + ang_aux)/(2*numpy.pi*4.5) |
|
|
2690 | # | |
|
|
2691 | # | |
|
|
2691 | 2692 | # #Searching the correct Direction Cosine |
|
|
2692 | 2693 | # cosdir0_aux = cosdir0[:,i] |
|
|
2693 | 2694 | # cosdir0_aux = cosdir0_aux.reshape(cosdir0_aux.size,1) |
|
|
2694 | 2695 | # #Minimum Distance |
|
|
2695 | 2696 | # cosDiff = (cosdir1 - cosdir0_aux)**2 |
|
|
2696 | 2697 | # indcos = cosDiff.argmin(axis = 1) |
|
|
2697 | 2698 | # #Saving Value obtained |
|
|
2698 | 2699 | # cosdir[:,i] = cosdir1[numpy.arange(len(indcos)),indcos] |
|
|
2699 | # | |
|
|
2700 | # | |
|
|
2700 | 2701 | # return cosdir0, cosdir |
|
|
2701 | # | |
|
|
2702 | # | |
|
|
2702 | 2703 | # def __calculateAOA(self, cosdir, azimuth): |
|
|
2703 | 2704 | # cosdirX = cosdir[:,0] |
|
|
2704 | 2705 | # cosdirY = cosdir[:,1] |
|
|
2705 | # | |
|
|
2706 | # | |
|
|
2706 | 2707 | # zenithAngle = numpy.arccos(numpy.sqrt(1 - cosdirX**2 - cosdirY**2))*180/numpy.pi |
|
|
2707 | 2708 | # azimuthAngle = numpy.arctan2(cosdirX,cosdirY)*180/numpy.pi + azimuth #0 deg north, 90 deg east |
|
|
2708 | 2709 | # angles = numpy.vstack((azimuthAngle, zenithAngle)).transpose() |
|
|
2709 | # | |
|
|
2710 | # | |
|
|
2710 | 2711 | # return angles |
|
|
2711 | # | |
|
|
2712 | # | |
|
|
2712 | 2713 | # def __getHeights(self, Ranges, zenith, error, minHeight, maxHeight): |
|
|
2713 | # | |
|
|
2714 | # | |
|
|
2714 | 2715 | # Ramb = 375 #Ramb = c/(2*PRF) |
|
|
2715 | 2716 | # Re = 6371 #Earth Radius |
|
|
2716 | 2717 | # heights = numpy.zeros(Ranges.shape) |
|
|
2717 | # | |
|
|
2718 | # | |
|
|
2718 | 2719 | # R_aux = numpy.array([0,1,2])*Ramb |
|
|
2719 | 2720 | # R_aux = R_aux.reshape(1,R_aux.size) |
|
|
2720 |
# |
|
|
|
2721 | # | |
|
|
2721 | 2722 | # Ranges = Ranges.reshape(Ranges.size,1) |
|
|
2722 | # | |
|
|
2723 | # | |
|
|
2723 | 2724 | # Ri = Ranges + R_aux |
|
|
2724 | 2725 | # hi = numpy.sqrt(Re**2 + Ri**2 + (2*Re*numpy.cos(zenith*numpy.pi/180)*Ri.transpose()).transpose()) - Re |
|
|
2725 | # | |
|
|
2726 | # | |
|
|
2726 | 2727 | # #Check if there is a height between 70 and 110 km |
|
|
2727 | 2728 | # h_bool = numpy.sum(numpy.logical_and(hi > minHeight, hi < maxHeight), axis = 1) |
|
|
2728 | 2729 | # ind_h = numpy.where(h_bool == 1)[0] |
|
|
2729 | # | |
|
|
2730 | # | |
|
|
2730 | 2731 | # hCorr = hi[ind_h, :] |
|
|
2731 | 2732 | # ind_hCorr = numpy.where(numpy.logical_and(hi > minHeight, hi < maxHeight)) |
|
|
2732 | # | |
|
|
2733 |
# hCorr = hi[ind_hCorr] |
|
|
|
2733 | # | |
|
|
2734 | # hCorr = hi[ind_hCorr] | |
|
|
2734 | 2735 | # heights[ind_h] = hCorr |
|
|
2735 | # | |
|
|
2736 | # | |
|
|
2736 | 2737 | # #Setting Error |
|
|
2737 | 2738 | # #Number 13: Height unresolvable echo: not valid height within 70 to 110 km |
|
|
2738 |
# #Number 14: Height ambiguous echo: more than one possible height within 70 to 110 km |
|
|
|
2739 | # | |
|
|
2740 |
# indInvalid2 = numpy.where(numpy.logical_and(h_bool > 1, error == 0))[0] |
|
|
|
2739 | # #Number 14: Height ambiguous echo: more than one possible height within 70 to 110 km | |
|
|
2740 | # | |
|
|
2741 | # indInvalid2 = numpy.where(numpy.logical_and(h_bool > 1, error == 0))[0] | |
|
|
2741 | 2742 | # error[indInvalid2] = 14 |
|
|
2742 | 2743 | # indInvalid1 = numpy.where(numpy.logical_and(h_bool == 0, error == 0))[0] |
|
|
2743 |
# error[indInvalid1] = 13 |
|
|
|
2744 | # | |
|
|
2745 |
# return heights, error |
|
|
|
2746 | No newline at end of file | |
|
|
2744 | # error[indInvalid1] = 13 | |
|
|
2745 | # | |
|
|
2746 | # return heights, error | |
| @@ -1,378 +1,382 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | @author: Juan C. Espinoza |
|
|
3 | 3 | ''' |
|
|
4 | 4 | |
|
|
5 | 5 | import time |
|
|
6 | 6 | import json |
|
|
7 | 7 | import numpy |
|
|
8 | 8 | import paho.mqtt.client as mqtt |
|
|
9 | 9 | import zmq |
|
|
10 | 10 | import cPickle as pickle |
|
|
11 | 11 | import datetime |
|
|
12 | 12 | from zmq.utils.monitor import recv_monitor_message |
|
|
13 | 13 | from functools import wraps |
|
|
14 | 14 | from threading import Thread |
|
|
15 | 15 | from multiprocessing import Process |
|
|
16 | 16 | |
|
|
17 | 17 | from schainpy.model.proc.jroproc_base import Operation, ProcessingUnit |
|
|
18 | 18 | |
|
|
19 | 19 | MAXNUMX = 100 |
|
|
20 | 20 | MAXNUMY = 100 |
|
|
21 | throttle_value = 5 | |
|
|
22 | 21 | |
|
|
23 | 22 | class PrettyFloat(float): |
|
|
24 | 23 | def __repr__(self): |
|
|
25 | 24 | return '%.2f' % self |
|
|
26 | 25 | |
|
|
27 | 26 | def roundFloats(obj): |
|
|
28 | 27 | if isinstance(obj, list): |
|
|
29 | 28 | return map(roundFloats, obj) |
|
|
30 | 29 | elif isinstance(obj, float): |
|
|
31 | 30 | return round(obj, 2) |
|
|
32 | 31 | |
|
|
33 | 32 | |
|
|
34 | 33 | class throttle(object): |
|
|
35 | 34 | """Decorator that prevents a function from being called more than once every |
|
|
36 | 35 | time period. |
|
|
37 | 36 | To create a function that cannot be called more than once a minute, but |
|
|
38 | 37 | will sleep until it can be called: |
|
|
39 | 38 | @throttle(minutes=1) |
|
|
40 | 39 | def foo(): |
|
|
41 | 40 | pass |
|
|
42 | 41 | |
|
|
43 | 42 | for i in range(10): |
|
|
44 | 43 | foo() |
|
|
45 | 44 | print "This function has run %s times." % i |
|
|
46 | 45 | """ |
|
|
47 | 46 | |
|
|
48 | 47 | def __init__(self, seconds=0, minutes=0, hours=0): |
|
|
49 | 48 | self.throttle_period = datetime.timedelta( |
|
|
50 | 49 | seconds=seconds, minutes=minutes, hours=hours |
|
|
51 | 50 | ) |
|
|
51 | ||
|
|
52 | 52 | self.time_of_last_call = datetime.datetime.min |
|
|
53 | 53 | |
|
|
54 | 54 | def __call__(self, fn): |
|
|
55 | 55 | @wraps(fn) |
|
|
56 | 56 | def wrapper(*args, **kwargs): |
|
|
57 | 57 | now = datetime.datetime.now() |
|
|
58 | 58 | time_since_last_call = now - self.time_of_last_call |
|
|
59 | 59 | time_left = self.throttle_period - time_since_last_call |
|
|
60 | 60 | |
|
|
61 | 61 | if time_left > datetime.timedelta(seconds=0): |
|
|
62 | 62 | return |
|
|
63 | 63 | |
|
|
64 | 64 | self.time_of_last_call = datetime.datetime.now() |
|
|
65 | 65 | return fn(*args, **kwargs) |
|
|
66 | 66 | |
|
|
67 | 67 | return wrapper |
|
|
68 | 68 | |
|
|
69 | 69 | |
|
|
70 | 70 | class PublishData(Operation): |
|
|
71 | 71 | """Clase publish.""" |
|
|
72 | 72 | |
|
|
73 | 73 | def __init__(self, **kwargs): |
|
|
74 | 74 | """Inicio.""" |
|
|
75 | 75 | Operation.__init__(self, **kwargs) |
|
|
76 | 76 | self.isConfig = False |
|
|
77 | 77 | self.client = None |
|
|
78 | 78 | self.zeromq = None |
|
|
79 | 79 | self.mqtt = None |
|
|
80 | 80 | |
|
|
81 | 81 | def on_disconnect(self, client, userdata, rc): |
|
|
82 | 82 | if rc != 0: |
|
|
83 | 83 | print("Unexpected disconnection.") |
|
|
84 | 84 | self.connect() |
|
|
85 | 85 | |
|
|
86 | 86 | def connect(self): |
|
|
87 | 87 | print 'trying to connect' |
|
|
88 | 88 | try: |
|
|
89 | 89 | self.client.connect( |
|
|
90 | 90 | host=self.host, |
|
|
91 | 91 | port=self.port, |
|
|
92 | 92 | keepalive=60*10, |
|
|
93 | 93 | bind_address='') |
|
|
94 | print "connected" | |
|
|
95 | 94 | self.client.loop_start() |
|
|
96 | 95 | # self.client.publish( |
|
|
97 | 96 | # self.topic + 'SETUP', |
|
|
98 | 97 | # json.dumps(setup), |
|
|
99 | 98 | # retain=True |
|
|
100 | 99 | # ) |
|
|
101 | 100 | except: |
|
|
102 | 101 | print "MQTT Conection error." |
|
|
103 | 102 | self.client = False |
|
|
104 | 103 | |
|
|
105 | 104 | def setup(self, port=1883, username=None, password=None, clientId="user", zeromq=1, **kwargs): |
|
|
106 | 105 | self.counter = 0 |
|
|
107 | 106 | self.topic = kwargs.get('topic', 'schain') |
|
|
108 | 107 | self.delay = kwargs.get('delay', 0) |
|
|
109 | 108 | self.plottype = kwargs.get('plottype', 'spectra') |
|
|
110 | 109 | self.host = kwargs.get('host', "10.10.10.82") |
|
|
111 | 110 | self.port = kwargs.get('port', 3000) |
|
|
112 | 111 | self.clientId = clientId |
|
|
113 | 112 | self.cnt = 0 |
|
|
114 | 113 | self.zeromq = zeromq |
|
|
115 | 114 | self.mqtt = kwargs.get('plottype', 0) |
|
|
116 | 115 | self.client = None |
|
|
117 | 116 | setup = [] |
|
|
118 | 117 | if mqtt is 1: |
|
|
119 | print 'mqqt es 1' | |
|
|
120 | 118 | self.client = mqtt.Client( |
|
|
121 | 119 | client_id=self.clientId + self.topic + 'SCHAIN', |
|
|
122 | 120 | clean_session=True) |
|
|
123 | 121 | self.client.on_disconnect = self.on_disconnect |
|
|
124 | 122 | self.connect() |
|
|
125 | 123 | for plot in self.plottype: |
|
|
126 | 124 | setup.append({ |
|
|
127 | 125 | 'plot': plot, |
|
|
128 | 126 | 'topic': self.topic + plot, |
|
|
129 | 127 | 'title': getattr(self, plot + '_' + 'title', False), |
|
|
130 | 128 | 'xlabel': getattr(self, plot + '_' + 'xlabel', False), |
|
|
131 | 129 | 'ylabel': getattr(self, plot + '_' + 'ylabel', False), |
|
|
132 | 130 | 'xrange': getattr(self, plot + '_' + 'xrange', False), |
|
|
133 | 131 | 'yrange': getattr(self, plot + '_' + 'yrange', False), |
|
|
134 | 132 | 'zrange': getattr(self, plot + '_' + 'zrange', False), |
|
|
135 | 133 | }) |
|
|
136 | 134 | if zeromq is 1: |
|
|
137 | 135 | context = zmq.Context() |
|
|
138 | 136 | self.zmq_socket = context.socket(zmq.PUSH) |
|
|
139 | 137 | server = kwargs.get('server', 'zmq.pipe') |
|
|
140 | 138 | |
|
|
141 | 139 | if 'tcp://' in server: |
|
|
142 | 140 | address = server |
|
|
143 | 141 | else: |
|
|
144 | 142 | address = 'ipc:///tmp/%s' % server |
|
|
145 | 143 | |
|
|
146 | 144 | self.zmq_socket.connect(address) |
|
|
147 | 145 | time.sleep(1) |
|
|
148 | print 'zeromq configured' | |
|
|
149 | 146 | |
|
|
150 | 147 | |
|
|
151 | 148 | def publish_data(self): |
|
|
152 | 149 | self.dataOut.finished = False |
|
|
153 | 150 | if self.mqtt is 1: |
|
|
154 | 151 | yData = self.dataOut.heightList[:2].tolist() |
|
|
155 | 152 | if self.plottype == 'spectra': |
|
|
156 | 153 | data = getattr(self.dataOut, 'data_spc') |
|
|
157 | 154 | z = data/self.dataOut.normFactor |
|
|
158 | 155 | zdB = 10*numpy.log10(z) |
|
|
159 | 156 | xlen, ylen = zdB[0].shape |
|
|
160 | 157 | dx = int(xlen/MAXNUMX) + 1 |
|
|
161 | 158 | dy = int(ylen/MAXNUMY) + 1 |
|
|
162 | 159 | Z = [0 for i in self.dataOut.channelList] |
|
|
163 | 160 | for i in self.dataOut.channelList: |
|
|
164 | 161 | Z[i] = zdB[i][::dx, ::dy].tolist() |
|
|
165 | 162 | payload = { |
|
|
166 | 163 | 'timestamp': self.dataOut.utctime, |
|
|
167 | 164 | 'data': roundFloats(Z), |
|
|
168 | 165 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
|
169 | 166 | 'interval': self.dataOut.getTimeInterval(), |
|
|
170 | 167 | 'type': self.plottype, |
|
|
171 | 168 | 'yData': yData |
|
|
172 | 169 | } |
|
|
173 | 170 | # print payload |
|
|
174 | 171 | |
|
|
175 | 172 | elif self.plottype in ('rti', 'power'): |
|
|
176 | 173 | data = getattr(self.dataOut, 'data_spc') |
|
|
177 | 174 | z = data/self.dataOut.normFactor |
|
|
178 | 175 | avg = numpy.average(z, axis=1) |
|
|
179 | 176 | avgdB = 10*numpy.log10(avg) |
|
|
180 | 177 | xlen, ylen = z[0].shape |
|
|
181 | 178 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 |
|
|
182 | 179 | AVG = [0 for i in self.dataOut.channelList] |
|
|
183 | 180 | for i in self.dataOut.channelList: |
|
|
184 | 181 | AVG[i] = avgdB[i][::dy].tolist() |
|
|
185 | 182 | payload = { |
|
|
186 | 183 | 'timestamp': self.dataOut.utctime, |
|
|
187 | 184 | 'data': roundFloats(AVG), |
|
|
188 | 185 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
|
189 | 186 | 'interval': self.dataOut.getTimeInterval(), |
|
|
190 | 187 | 'type': self.plottype, |
|
|
191 | 188 | 'yData': yData |
|
|
192 | 189 | } |
|
|
193 | 190 | elif self.plottype == 'noise': |
|
|
194 | 191 | noise = self.dataOut.getNoise()/self.dataOut.normFactor |
|
|
195 | 192 | noisedB = 10*numpy.log10(noise) |
|
|
196 | 193 | payload = { |
|
|
197 | 194 | 'timestamp': self.dataOut.utctime, |
|
|
198 | 195 | 'data': roundFloats(noisedB.reshape(-1, 1).tolist()), |
|
|
199 | 196 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
|
200 | 197 | 'interval': self.dataOut.getTimeInterval(), |
|
|
201 | 198 | 'type': self.plottype, |
|
|
202 | 199 | 'yData': yData |
|
|
203 | 200 | } |
|
|
204 | 201 | elif self.plottype == 'snr': |
|
|
205 | 202 | data = getattr(self.dataOut, 'data_SNR') |
|
|
206 | 203 | avgdB = 10*numpy.log10(data) |
|
|
207 | 204 | |
|
|
208 | 205 | ylen = data[0].size |
|
|
209 | 206 | dy = numpy.floor(ylen/self.__MAXNUMY) + 1 |
|
|
210 | 207 | AVG = [0 for i in self.dataOut.channelList] |
|
|
211 | 208 | for i in self.dataOut.channelList: |
|
|
212 | 209 | AVG[i] = avgdB[i][::dy].tolist() |
|
|
213 | 210 | payload = { |
|
|
214 | 211 | 'timestamp': self.dataOut.utctime, |
|
|
215 | 212 | 'data': roundFloats(AVG), |
|
|
216 | 213 | 'channels': ['Ch %s' % ch for ch in self.dataOut.channelList], |
|
|
217 | 214 | 'type': self.plottype, |
|
|
218 | 215 | 'yData': yData |
|
|
219 | 216 | } |
|
|
220 | 217 | else: |
|
|
221 | 218 | print "Tipo de grafico invalido" |
|
|
222 | 219 | payload = { |
|
|
223 | 220 | 'data': 'None', |
|
|
224 | 221 | 'timestamp': 'None', |
|
|
225 | 222 | 'type': None |
|
|
226 | 223 | } |
|
|
227 | 224 | # print 'Publishing data to {}'.format(self.host) |
|
|
228 | 225 | self.client.publish(self.topic + self.plottype, json.dumps(payload), qos=0) |
|
|
229 | 226 | |
|
|
230 | 227 | if self.zeromq is 1: |
|
|
231 | 228 | print '[Sending] {} - {}'.format(self.dataOut.type, self.dataOut.datatime) |
|
|
232 | 229 | self.zmq_socket.send_pyobj(self.dataOut) |
|
|
233 | 230 | |
|
|
234 | 231 | def run(self, dataOut, **kwargs): |
|
|
235 | 232 | self.dataOut = dataOut |
|
|
236 | 233 | if not self.isConfig: |
|
|
237 | 234 | self.setup(**kwargs) |
|
|
238 | 235 | self.isConfig = True |
|
|
239 | 236 | |
|
|
240 | 237 | self.publish_data() |
|
|
241 | 238 | time.sleep(self.delay) |
|
|
242 | 239 | |
|
|
243 | 240 | def close(self): |
|
|
244 | 241 | if self.zeromq is 1: |
|
|
245 | 242 | self.dataOut.finished = True |
|
|
246 | 243 | self.zmq_socket.send_pyobj(self.dataOut) |
|
|
247 | 244 | |
|
|
248 | 245 | if self.client: |
|
|
249 | 246 | self.client.loop_stop() |
|
|
250 | 247 | self.client.disconnect() |
|
|
251 | 248 | |
|
|
252 | 249 | |
|
|
253 | 250 | class ReceiverData(ProcessingUnit, Process): |
|
|
254 | 251 | |
|
|
252 | throttle_value = 5 | |
|
|
253 | ||
|
|
255 | 254 | def __init__(self, **kwargs): |
|
|
256 | 255 | |
|
|
257 | 256 | ProcessingUnit.__init__(self, **kwargs) |
|
|
258 | 257 | Process.__init__(self) |
|
|
259 | 258 | self.mp = False |
|
|
260 | 259 | self.isConfig = False |
|
|
261 | 260 | self.plottypes =[] |
|
|
262 | 261 | self.connections = 0 |
|
|
263 | 262 | server = kwargs.get('server', 'zmq.pipe') |
|
|
264 | 263 | if 'tcp://' in server: |
|
|
265 | 264 | address = server |
|
|
266 | 265 | else: |
|
|
267 | 266 | address = 'ipc:///tmp/%s' % server |
|
|
268 | 267 | |
|
|
269 | 268 | self.address = address |
|
|
270 | 269 | self.plottypes = [s.strip() for s in kwargs.get('plottypes', 'rti').split(',')] |
|
|
271 | 270 | self.realtime = kwargs.get('realtime', False) |
|
|
272 | global throttle_value | |
|
|
273 | throttle_value = kwargs.get('throttle', 10) | |
|
|
271 | self.throttle_value = kwargs.get('throttle', 10) | |
|
|
272 | self.sendData = self.initThrottle(self.throttle_value) | |
|
|
274 | 273 | self.setup() |
|
|
275 | 274 | |
|
|
276 | 275 | def setup(self): |
|
|
277 | 276 | |
|
|
278 | 277 | self.data = {} |
|
|
279 | 278 | self.data['times'] = [] |
|
|
280 | 279 | for plottype in self.plottypes: |
|
|
281 | 280 | self.data[plottype] = {} |
|
|
282 | 281 | self.data['noise'] = {} |
|
|
282 | self.data['throttle'] = self.throttle_value | |
|
|
283 | self.data['ENDED'] = False | |
|
|
283 | 284 | self.isConfig = True |
|
|
284 | 285 | |
|
|
285 | 286 | def event_monitor(self, monitor): |
|
|
286 | 287 | |
|
|
287 | 288 | events = {} |
|
|
288 | 289 | |
|
|
289 | 290 | for name in dir(zmq): |
|
|
290 | 291 | if name.startswith('EVENT_'): |
|
|
291 | 292 | value = getattr(zmq, name) |
|
|
292 | 293 | events[value] = name |
|
|
293 | 294 | |
|
|
294 | 295 | while monitor.poll(): |
|
|
295 | 296 | evt = recv_monitor_message(monitor) |
|
|
296 | 297 | if evt['event'] == 32: |
|
|
297 | 298 | self.connections += 1 |
|
|
298 | 299 | if evt['event'] == 512: |
|
|
299 | 300 | pass |
|
|
300 | 301 | if self.connections == 0 and self.started is True: |
|
|
301 | 302 | self.ended = True |
|
|
302 | 303 | # send('ENDED') |
|
|
303 | 304 | evt.update({'description': events[evt['event']]}) |
|
|
304 | 305 | |
|
|
305 | 306 | if evt['event'] == zmq.EVENT_MONITOR_STOPPED: |
|
|
306 | 307 | break |
|
|
307 | 308 | monitor.close() |
|
|
308 | print("event monitor thread done!") | |
|
|
309 | 309 | |
|
|
310 |
|
|
|
|
311 | def sendData(self, data): | |
|
|
312 | self.send(data) | |
|
|
310 | def initThrottle(self, throttle_value): | |
|
|
311 | ||
|
|
312 | @throttle(seconds=throttle_value) | |
|
|
313 | def sendDataThrottled(fn_sender, data): | |
|
|
314 | fn_sender(data) | |
|
|
315 | ||
|
|
316 | return sendDataThrottled | |
|
|
313 | 317 | |
|
|
314 | 318 | def send(self, data): |
|
|
315 | 319 | print '[sending] data=%s size=%s' % (data.keys(), len(data['times'])) |
|
|
316 | 320 | self.sender.send_pyobj(data) |
|
|
317 | 321 | |
|
|
318 | 322 | def update(self): |
|
|
319 | 323 | |
|
|
320 | 324 | t = self.dataOut.ltctime |
|
|
321 | 325 | self.data['times'].append(t) |
|
|
322 | 326 | self.data['dataOut'] = self.dataOut |
|
|
323 | 327 | |
|
|
324 | 328 | for plottype in self.plottypes: |
|
|
325 | 329 | |
|
|
326 | 330 | if plottype == 'spc': |
|
|
327 | 331 | z = self.dataOut.data_spc/self.dataOut.normFactor |
|
|
328 | 332 | self.data[plottype] = 10*numpy.log10(z) |
|
|
329 | 333 | self.data['noise'][t] = 10*numpy.log10(self.dataOut.getNoise()/self.dataOut.normFactor) |
|
|
330 | 334 | if plottype == 'rti': |
|
|
331 | 335 | self.data[plottype][t] = self.dataOut.getPower() |
|
|
332 | 336 | if plottype == 'snr': |
|
|
333 | 337 | self.data[plottype][t] = 10*numpy.log10(self.dataOut.data_SNR) |
|
|
334 | 338 | if plottype == 'dop': |
|
|
335 | 339 | self.data[plottype][t] = 10*numpy.log10(self.dataOut.data_DOP) |
|
|
336 | 340 | if plottype == 'coh': |
|
|
337 | 341 | self.data[plottype][t] = self.dataOut.getCoherence() |
|
|
338 | 342 | if plottype == 'phase': |
|
|
339 | 343 | self.data[plottype][t] = self.dataOut.getCoherence(phase=True) |
|
|
340 | 344 | |
|
|
341 | 345 | def run(self): |
|
|
342 | 346 | |
|
|
343 | 347 | print '[Starting] {} from {}'.format(self.name, self.address) |
|
|
344 | 348 | |
|
|
345 | 349 | self.context = zmq.Context() |
|
|
346 | 350 | self.receiver = self.context.socket(zmq.PULL) |
|
|
347 | 351 | self.receiver.bind(self.address) |
|
|
348 | 352 | monitor = self.receiver.get_monitor_socket() |
|
|
349 | 353 | self.sender = self.context.socket(zmq.PUB) |
|
|
350 | 354 | |
|
|
351 | 355 | self.sender.bind("ipc:///tmp/zmq.plots") |
|
|
352 | 356 | |
|
|
353 | 357 | t = Thread(target=self.event_monitor, args=(monitor,)) |
|
|
354 | 358 | t.start() |
|
|
355 | 359 | |
|
|
356 | 360 | while True: |
|
|
357 | 361 | self.dataOut = self.receiver.recv_pyobj() |
|
|
358 | print '[Receiving] {} - {}'.format(self.dataOut.type, | |
|
|
359 | self.dataOut.datatime.ctime()) | |
|
|
362 | # print '[Receiving] {} - {}'.format(self.dataOut.type, | |
|
|
363 | # self.dataOut.datatime.ctime()) | |
|
|
360 | 364 | |
|
|
361 | 365 | self.update() |
|
|
362 | 366 | |
|
|
363 | 367 | if self.dataOut.finished is True: |
|
|
364 | 368 | self.send(self.data) |
|
|
365 | 369 | self.connections -= 1 |
|
|
366 | 370 | if self.connections == 0 and self.started: |
|
|
367 | 371 | self.ended = True |
|
|
368 | 372 | self.data['ENDED'] = True |
|
|
369 | 373 | self.send(self.data) |
|
|
370 | 374 | self.setup() |
|
|
371 | 375 | else: |
|
|
372 | 376 | if self.realtime: |
|
|
373 | 377 | self.send(self.data) |
|
|
374 | 378 | else: |
|
|
375 | self.sendData(self.data) | |
|
|
379 | self.sendData(self.send, self.data) | |
|
|
376 | 380 | self.started = True |
|
|
377 | 381 | |
|
|
378 | 382 | return |
| @@ -1,82 +1,87 | |||
|
|
1 | 1 | import argparse |
|
|
2 | 2 | |
|
|
3 | 3 | from schainpy.controller import Project, multiSchain |
|
|
4 | 4 | |
|
|
5 | 5 | desc = "HF_EXAMPLE" |
|
|
6 | 6 | |
|
|
7 | 7 | def fiber(cursor, skip, q, dt): |
|
|
8 | 8 | |
|
|
9 | 9 | controllerObj = Project() |
|
|
10 | 10 | |
|
|
11 | 11 | controllerObj.setup(id='191', name='test01', description=desc) |
|
|
12 | 12 | |
|
|
13 | 13 | readUnitConfObj = controllerObj.addReadUnit(datatype='SpectraReader', |
|
|
14 |
path='/home/nanosat/data/ |
|
|
|
14 | path='/home/nanosat/data/hysell_data20/pdata', | |
|
|
15 | 15 | startDate=dt, |
|
|
16 | 16 | endDate=dt, |
|
|
17 | 17 | startTime="00:00:00", |
|
|
18 | 18 | endTime="23:59:59", |
|
|
19 | 19 | online=0, |
|
|
20 | 20 | #set=1426485881, |
|
|
21 | 21 | delay=10, |
|
|
22 | 22 | walk=1, |
|
|
23 | 23 | queue=q, |
|
|
24 | 24 | cursor=cursor, |
|
|
25 | 25 | skip=skip, |
|
|
26 | 26 | #timezone=-5*3600 |
|
|
27 | 27 | ) |
|
|
28 | 28 | |
|
|
29 | 29 | # #opObj11 = readUnitConfObj.addOperation(name='printNumberOfBlock') |
|
|
30 | 30 | # |
|
|
31 | 31 | procUnitConfObj2 = controllerObj.addProcUnit(datatype='Spectra', inputId=readUnitConfObj.getId()) |
|
|
32 | 32 | # opObj11 = procUnitConfObj2.addParameter(name='pairsList', value='(0,1)', format='pairslist') |
|
|
33 | 33 | # |
|
|
34 |
|
|
|
|
34 | procUnitConfObj3 = controllerObj.addProcUnit(datatype='ParametersProc', inputId=readUnitConfObj.getId()) | |
|
|
35 | 35 | |
|
|
36 |
|
|
|
|
36 | opObj11 = procUnitConfObj3.addOperation(name='SpectralMoments', optype='other') | |
|
|
37 | 37 | |
|
|
38 | 38 | # |
|
|
39 | 39 | # opObj11 = procUnitConfObj1.addOperation(name='SpectraPlot', optype='other') |
|
|
40 | 40 | # opObj11.addParameter(name='id', value='1000', format='int') |
|
|
41 | 41 | # opObj11.addParameter(name='wintitle', value='HF_Jicamarca_Spc', format='str') |
|
|
42 | 42 | # opObj11.addParameter(name='channelList', value='0', format='intlist') |
|
|
43 | 43 | # opObj11.addParameter(name='zmin', value='-120', format='float') |
|
|
44 | 44 | # opObj11.addParameter(name='zmax', value='-70', format='float') |
|
|
45 | 45 | # opObj11.addParameter(name='save', value='1', format='int') |
|
|
46 | 46 | # opObj11.addParameter(name='figpath', value=figpath, format='str') |
|
|
47 | 47 | |
|
|
48 | opObj11 = procUnitConfObj2.addOperation(name='RTIPlot', optype='other') | |
|
|
49 | opObj11.addParameter(name='id', value='2000', format='int') | |
|
|
50 | opObj11.addParameter(name='wintitzmaxle', value='HF_Jicamarca', format='str') | |
|
|
51 | opObj11.addParameter(name='showprofile', value='0', format='int') | |
|
|
52 | # opObj11.addParameter(name='channelList', value='0', format='intlist') | |
|
|
53 | # opObj11.addParameter(name='xmin', value='0', format='float') | |
|
|
54 | opObj11.addParameter(name='xmin', value='0', format='float') | |
|
|
55 | opObj11.addParameter(name='xmax', value='24', format='float') | |
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48 | # opObj11 = procUnitConfObj2.addOperation(name='RTIPlot', optype='other') | |
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49 | # opObj11.addParameter(name='id', value='2000', format='int') | |
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50 | # opObj11.addParameter(name='wintitzmaxle', value='HF_Jicamarca', format='str') | |
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51 | # opObj11.addParameter(name='showprofile', value='0', format='int') | |
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52 | # # opObj11.addParameter(name='channelList', value='0', format='intlist') | |
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53 | # # opObj11.addParameter(name='xmin', value='0', format='float') | |
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54 | # opObj11.addParameter(name='xmin', value='0', format='float') | |
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55 | # opObj11.addParameter(name='xmax', value='24', format='float') | |
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56 | 56 | |
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57 | 57 | # opObj11.addParameter(name='zmin', value='-110', format='float') |
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58 | 58 | # opObj11.addParameter(name='zmax', value='-70', format='float') |
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59 | 59 | # opObj11.addParameter(name='save', value='0', format='int') |
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60 | 60 | # # opObj11.addParameter(name='figpath', value='/tmp/', format='str') |
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61 | 61 | # |
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62 | 62 | opObj12 = procUnitConfObj2.addOperation(name='PublishData', optype='other') |
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63 | 63 | opObj12.addParameter(name='zeromq', value=1, format='int') |
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64 | 64 | |
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65 | opObj13 = procUnitConfObj3.addOperation(name='PublishData', optype='other') | |
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66 | opObj13.addParameter(name='zeromq', value=1, format='int') | |
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67 | opObj13.addParameter(name='server', value="juanca", format='str') | |
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68 | ||
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69 | # opObj12.addParameter(name='delay', value=1, format='int') | |
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70 | ||
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71 | ||
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65 | 72 | # print "Escribiendo el archivo XML" |
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66 | 73 | # controllerObj.writeXml(filename) |
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67 | 74 | # print "Leyendo el archivo XML" |
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68 | 75 | # controllerObj.readXml(filename) |
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69 | 76 | |
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70 | controllerObj.createObjects() | |
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71 | controllerObj.connectObjects() | |
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72 | 77 | |
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73 | 78 | # timeit.timeit('controllerObj.run()', number=2) |
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74 | 79 | |
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75 |
controllerObj. |
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80 | controllerObj.start() | |
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76 | 81 | |
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77 | 82 | |
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78 | 83 | if __name__ == '__main__': |
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79 | 84 | parser = argparse.ArgumentParser(description='Set number of parallel processes') |
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80 | parser.add_argument('--nProcess', default=1, type=int) | |
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85 | parser.add_argument('--nProcess', default=16, type=int) | |
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81 | 86 | args = parser.parse_args() |
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82 |
multiSchain(fiber, nProcess=args.nProcess, startDate='201 |
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87 | multiSchain(fiber, nProcess=args.nProcess, startDate='2015/09/26', endDate='2015/09/26') | |
| @@ -1,41 +1,49 | |||
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1 | 1 | #!/usr/bin/env python |
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2 | 2 | ''' |
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3 | 3 | Created on Jul 7, 2014 |
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4 | 4 | |
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5 | 5 | @author: roj-idl71 |
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6 | 6 | ''' |
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7 | 7 | import os, sys |
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8 | 8 | |
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9 | 9 | from schainpy.controller import Project |
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10 | 10 | |
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11 | 11 | if __name__ == '__main__': |
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12 | 12 | desc = "Segundo Test" |
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13 | 13 | |
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14 | 14 | controllerObj = Project() |
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15 | 15 | controllerObj.setup(id='191', name='test01', description=desc) |
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16 | 16 | |
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17 | 17 | proc1 = controllerObj.addProcUnit(name='ReceiverData') |
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18 |
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19 |
proc1.addParameter(name=' |
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20 |
proc1.addParameter(name=' |
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21 | ||
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22 |
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23 |
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24 | # | |
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25 | op2 = proc1.addOperation(name='PlotSpectraData', optype='other') | |
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18 | proc1.addParameter(name='realtime', value='0', format='bool') | |
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19 | proc1.addParameter(name='plottypes', value='rti,coh,phase', format='str') | |
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20 | proc1.addParameter(name='throttle', value='10', format='int') | |
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21 | ||
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22 | op1 = proc1.addOperation(name='PlotRTIData', optype='other') | |
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23 | op1.addParameter(name='wintitle', value='Julia 150Km', format='str') | |
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24 | op1.addParameter(name='save', value='/home/nanosat/Pictures', format='str') | |
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25 | op1.addParameter(name='colormap', value='jet', format='str') | |
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26 | ||
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27 | op2 = proc1.addOperation(name='PlotCOHData', optype='other') | |
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26 | 28 | op2.addParameter(name='wintitle', value='Julia 150Km', format='str') |
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27 |
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28 | # op2.addParameter(name='showprofile', value='1', format='bool') | |
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29 | #op2.addParameter(name='xmin', value='-0.1', format='float') | |
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30 |
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31 | ||
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32 | # op1 = proc1.addOperation(name='PlotPHASEData', optype='other') | |
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33 | # op1.addParameter(name='wintitle', value='Julia 150Km', format='str') | |
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34 | ||
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35 | # proc1 = controllerObj.addProcUnit(name='ReceiverData') | |
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36 | # proc1.addParameter(name='server', value='pipe2', format='str') | |
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37 | # proc1.addParameter(name='mode', value='buffer', format='str') | |
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38 |
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29 | op2.addParameter(name='save', value='/home/nanosat/Pictures', format='str') | |
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30 | ||
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31 | op6 = proc1.addOperation(name='PlotPHASEData', optype='other') | |
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32 | op6.addParameter(name='wintitle', value='Julia 150Km', format='str') | |
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33 | op6.addParameter(name='save', value='/home/nanosat/Pictures', format='str') | |
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34 | ||
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35 | proc2 = controllerObj.addProcUnit(name='ReceiverData') | |
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36 | proc2.addParameter(name='server', value='juanca', format='str') | |
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37 | proc2.addParameter(name='plottypes', value='snr,dop', format='str') | |
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38 | ||
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39 | op3 = proc2.addOperation(name='PlotSNRData', optype='other') | |
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40 | op3.addParameter(name='wintitle', value='Julia 150Km', format='str') | |
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41 | op3.addParameter(name='save', value='/home/nanosat/Pictures', format='str') | |
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42 | ||
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43 | op4 = proc2.addOperation(name='PlotDOPData', optype='other') | |
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44 | op4.addParameter(name='wintitle', value='Julia 150Km', format='str') | |
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45 | op4.addParameter(name='save', value='/home/nanosat/Pictures', format='str') | |
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46 | ||
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39 | 47 | |
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40 | 48 | |
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41 | 49 | controllerObj.start() |
| @@ -1,1 +1,1 | |||
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1 | <Project description="" id="191" name="test01"><ReadUnit datatype="Spectra" id="1911" inputId="0" name="SpectraReader"><Operation id="19111" name="run" priority="1" type="self"><Parameter format="str" id="191111" name="datatype" value="Spectra" /><Parameter format="str" id="191112" name="path" value="/home/nanosat/data/zeus" /><Parameter format="date" id="191113" name="startDate" value="2017/01/30" /><Parameter format="date" id="191114" name="endDate" value="2017/01/30" /><Parameter format="time" id="191115" name="startTime" value="00:00:00" /><Parameter format="time" id="191116" name="endTime" value="23:59:59" /><Parameter format="obj" id="191117" name="queue" No newline at end of file | |
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1 | <Project description="HF_EXAMPLE" id="191" name="test01"><ReadUnit datatype="SpectraReader" id="1911" inputId="0" name="SpectraReader"><Operation id="19111" name="run" priority="1" type="self"><Parameter format="str" id="191111" name="datatype" value="SpectraReader" /><Parameter format="str" id="191112" name="path" value="/home/nanosat/data/hysell_data20/pdata" /><Parameter format="date" id="191113" name="startDate" value="2015/09/26" /><Parameter format="date" id="191114" name="endDate" value="2015/09/26" /><Parameter format="time" id="191115" name="startTime" value="00:00:00" /><Parameter format="time" id="191116" name="endTime" value="23:59:59" /><Parameter format="int" id="191118" name="cursor" value="17" /><Parameter format="int" id="191119" name="skip" value="45" /><Parameter format="int" id="191120" name="delay" value="10" /><Parameter format="int" id="191121" name="walk" value="1" /><Parameter format="int" id="191122" name="online" value="0" /></Operation></ReadUnit><ProcUnit datatype="ParametersProc" id="1913" inputId="1911" name="ParametersProc"><Operation id="19131" name="run" priority="1" type="self" /><Operation id="19132" name="SpectralMoments" priority="2" type="other" /><Operation id="19133" name="PublishData" priority="3" type="other"><Parameter format="int" id="191331" name="zeromq" value="1" /><Parameter format="str" id="191332" name="server" value="juanca" /></Operation></ProcUnit><ProcUnit datatype="Spectra" id="1912" inputId="1911" name="SpectraProc"><Operation id="19121" name="run" priority="1" type="self" /><Operation id="19122" name="PublishData" priority="2" type="other"><Parameter format="int" id="191221" name="zeromq" value="1" /></Operation></ProcUnit></Project> No newline at end of file | |
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