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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 | 10 | import math |
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11 | 11 | import time |
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12 | 12 | from multiprocessing import Process, Queue, cpu_count |
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13 | 13 | |
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14 | 14 | import schainpy |
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15 | 15 | import schainpy.admin |
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16 | 16 | |
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17 | 17 | from xml.etree.ElementTree import ElementTree, Element, SubElement, tostring |
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18 | 18 | from xml.dom import minidom |
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19 | 19 | |
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20 | 20 | from schainpy.model import * |
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21 | 21 | from time import sleep |
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22 | 22 | |
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23 | 23 | def prettify(elem): |
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24 | 24 | """Return a pretty-printed XML string for the Element. |
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25 | 25 | """ |
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26 | 26 | rough_string = tostring(elem, 'utf-8') |
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27 | 27 | reparsed = minidom.parseString(rough_string) |
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28 | 28 | return reparsed.toprettyxml(indent=" ") |
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29 | 29 | |
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30 | 30 | def multiSchain(child, nProcess=cpu_count(), startDate=None, endDate=None, by_day=False): |
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31 | 31 | skip = 0 |
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32 | 32 | cursor = 0 |
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33 | 33 | nFiles = None |
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34 | 34 | processes = [] |
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35 | 35 | dt1 = datetime.datetime.strptime(startDate, '%Y/%m/%d') |
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36 | 36 | dt2 = datetime.datetime.strptime(endDate, '%Y/%m/%d') |
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37 | 37 | days = (dt2 - dt1).days |
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38 | 38 | |
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39 | 39 | for day in range(days+1): |
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40 | 40 | skip = 0 |
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41 | 41 | cursor = 0 |
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42 | 42 | q = Queue() |
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43 | 43 | processes = [] |
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44 | 44 | dt = (dt1 + datetime.timedelta(day)).strftime('%Y/%m/%d') |
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45 | 45 | firstProcess = Process(target=child, args=(cursor, skip, q, dt)) |
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46 | 46 | firstProcess.start() |
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47 | 47 | if by_day: |
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48 | 48 | continue |
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49 | 49 | nFiles = q.get() |
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50 | 50 | firstProcess.terminate() |
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51 | 51 | skip = int(math.ceil(nFiles/nProcess)) |
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52 | 52 | while True: |
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53 | 53 | processes.append(Process(target=child, args=(cursor, skip, q, dt))) |
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54 | 54 | processes[cursor].start() |
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55 | 55 | if nFiles < cursor*skip: |
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56 | 56 | break |
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57 | 57 | cursor += 1 |
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58 | 58 | |
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59 | 59 | def beforeExit(exctype, value, trace): |
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60 | 60 | for process in processes: |
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61 | 61 | process.terminate() |
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62 | 62 | process.join() |
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63 | 63 | print traceback.print_tb(trace) |
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64 | 64 | |
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65 | 65 | sys.excepthook = beforeExit |
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66 | 66 | |
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67 | 67 | for process in processes: |
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68 | 68 | process.join() |
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69 | 69 | process.terminate() |
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70 | 70 | time.sleep(3) |
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71 | 71 | |
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72 | 72 | class ParameterConf(): |
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73 | 73 | |
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74 | 74 | id = None |
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75 | 75 | name = None |
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76 | 76 | value = None |
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77 | 77 | format = None |
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78 | 78 | |
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79 | 79 | __formated_value = None |
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80 | 80 | |
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81 | 81 | ELEMENTNAME = 'Parameter' |
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82 | 82 | |
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83 | 83 | def __init__(self): |
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84 | 84 | |
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85 | 85 | self.format = 'str' |
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86 | 86 | |
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87 | 87 | def getElementName(self): |
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88 | 88 | |
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89 | 89 | return self.ELEMENTNAME |
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90 | 90 | |
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91 | 91 | def getValue(self): |
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92 | 92 | |
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93 | 93 | value = self.value |
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94 | 94 | format = self.format |
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95 | 95 | |
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96 | 96 | if self.__formated_value != None: |
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97 | 97 | |
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98 | 98 | return self.__formated_value |
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99 | 99 | |
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100 | 100 | if format == 'obj': |
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101 | 101 | return value |
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102 | 102 | |
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103 | 103 | if format == 'str': |
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104 | 104 | self.__formated_value = str(value) |
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105 | 105 | return self.__formated_value |
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106 | 106 | |
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107 | 107 | if value == '': |
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108 | 108 | raise ValueError, "%s: This parameter value is empty" %self.name |
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109 | 109 | |
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110 | 110 | if format == 'list': |
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111 | 111 | strList = value.split(',') |
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112 | 112 | |
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113 | 113 | self.__formated_value = strList |
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114 | 114 | |
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115 | 115 | return self.__formated_value |
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116 | 116 | |
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117 | 117 | if format == 'intlist': |
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118 | 118 | """ |
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119 | 119 | Example: |
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120 | 120 | value = (0,1,2) |
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121 | 121 | """ |
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122 | 122 | |
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123 | 123 | new_value = ast.literal_eval(value) |
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124 | 124 | |
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125 | 125 | if type(new_value) not in (tuple, list): |
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126 | 126 | new_value = [int(new_value)] |
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127 | 127 | |
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128 | 128 | self.__formated_value = new_value |
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129 | 129 | |
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130 | 130 | return self.__formated_value |
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131 | 131 | |
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132 | 132 | if format == 'floatlist': |
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133 | 133 | """ |
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134 | 134 | Example: |
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135 | 135 | value = (0.5, 1.4, 2.7) |
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136 | 136 | """ |
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137 | 137 | |
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138 | 138 | new_value = ast.literal_eval(value) |
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139 | 139 | |
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140 | 140 | if type(new_value) not in (tuple, list): |
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141 | 141 | new_value = [float(new_value)] |
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142 | 142 | |
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143 | 143 | self.__formated_value = new_value |
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144 | 144 | |
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145 | 145 | return self.__formated_value |
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146 | 146 | |
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147 | 147 | if format == 'date': |
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148 | 148 | strList = value.split('/') |
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149 | 149 | intList = [int(x) for x in strList] |
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150 | 150 | date = datetime.date(intList[0], intList[1], intList[2]) |
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151 | 151 | |
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152 | 152 | self.__formated_value = date |
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153 | 153 | |
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154 | 154 | return self.__formated_value |
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155 | 155 | |
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156 | 156 | if format == 'time': |
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157 | 157 | strList = value.split(':') |
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158 | 158 | intList = [int(x) for x in strList] |
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159 | 159 | time = datetime.time(intList[0], intList[1], intList[2]) |
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160 | 160 | |
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161 | 161 | self.__formated_value = time |
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162 | 162 | |
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163 | 163 | return self.__formated_value |
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164 | 164 | |
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165 | 165 | if format == 'pairslist': |
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166 | 166 | """ |
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167 | 167 | Example: |
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168 | 168 | value = (0,1),(1,2) |
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169 | 169 | """ |
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170 | 170 | |
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171 | 171 | new_value = ast.literal_eval(value) |
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172 | 172 | |
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173 | 173 | if type(new_value) not in (tuple, list): |
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174 | 174 | raise ValueError, "%s has to be a tuple or list of pairs" %value |
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175 | 175 | |
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176 | 176 | if type(new_value[0]) not in (tuple, list): |
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177 | 177 | if len(new_value) != 2: |
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178 | 178 | raise ValueError, "%s has to be a tuple or list of pairs" %value |
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179 | 179 | new_value = [new_value] |
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180 | 180 | |
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181 | 181 | for thisPair in new_value: |
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182 | 182 | if len(thisPair) != 2: |
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183 | 183 | raise ValueError, "%s has to be a tuple or list of pairs" %value |
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184 | 184 | |
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185 | 185 | self.__formated_value = new_value |
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186 | 186 | |
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187 | 187 | return self.__formated_value |
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188 | 188 | |
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189 | 189 | if format == 'multilist': |
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190 | 190 | """ |
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191 | 191 | Example: |
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192 | 192 | value = (0,1,2),(3,4,5) |
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193 | 193 | """ |
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194 | 194 | multiList = ast.literal_eval(value) |
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195 | 195 | |
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196 | 196 | if type(multiList[0]) == int: |
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197 | 197 | multiList = ast.literal_eval("(" + value + ")") |
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198 | 198 | |
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199 | 199 | self.__formated_value = multiList |
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200 | 200 | |
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201 | 201 | return self.__formated_value |
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202 | 202 | |
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203 | 203 | if format == 'bool': |
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204 | 204 | value = int(value) |
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205 | 205 | |
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206 | 206 | if format == 'int': |
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207 | 207 | value = float(value) |
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208 | 208 | |
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209 | 209 | format_func = eval(format) |
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210 | 210 | |
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211 | 211 | self.__formated_value = format_func(value) |
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212 | 212 | |
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213 | 213 | return self.__formated_value |
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214 | 214 | |
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215 | 215 | def updateId(self, new_id): |
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216 | 216 | |
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217 | 217 | self.id = str(new_id) |
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218 | 218 | |
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219 | 219 | def setup(self, id, name, value, format='str'): |
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220 | 220 | |
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221 | 221 | self.id = str(id) |
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222 | 222 | self.name = name |
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223 | 223 | if format == 'obj': |
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224 | 224 | self.value = value |
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225 | 225 | else: |
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226 | 226 | self.value = str(value) |
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227 | 227 | self.format = str.lower(format) |
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228 | 228 | |
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229 | 229 | self.getValue() |
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230 | 230 | |
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231 | 231 | return 1 |
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232 | 232 | |
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233 | 233 | def update(self, name, value, format='str'): |
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234 | 234 | |
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235 | 235 | self.name = name |
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236 | 236 | self.value = str(value) |
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237 | 237 | self.format = format |
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238 | 238 | |
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239 | 239 | def makeXml(self, opElement): |
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240 | 240 | if self.name not in ('queue',): |
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241 | 241 | parmElement = SubElement(opElement, self.ELEMENTNAME) |
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242 | 242 | parmElement.set('id', str(self.id)) |
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243 | 243 | parmElement.set('name', self.name) |
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244 | 244 | parmElement.set('value', self.value) |
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245 | 245 | parmElement.set('format', self.format) |
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246 | 246 | |
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247 | 247 | def readXml(self, parmElement): |
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248 | 248 | |
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249 | 249 | self.id = parmElement.get('id') |
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250 | 250 | self.name = parmElement.get('name') |
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251 | 251 | self.value = parmElement.get('value') |
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252 | 252 | self.format = str.lower(parmElement.get('format')) |
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253 | 253 | |
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254 | 254 | #Compatible with old signal chain version |
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255 | 255 | if self.format == 'int' and self.name == 'idfigure': |
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256 | 256 | self.name = 'id' |
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257 | 257 | |
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258 | 258 | def printattr(self): |
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259 | 259 | |
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260 | 260 | print "Parameter[%s]: name = %s, value = %s, format = %s" %(self.id, self.name, self.value, self.format) |
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261 | 261 | |
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262 | 262 | class OperationConf(): |
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263 | 263 | |
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264 | 264 | id = None |
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265 | 265 | name = None |
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266 | 266 | priority = None |
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267 | 267 | type = None |
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268 | 268 | |
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269 | 269 | parmConfObjList = [] |
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270 | 270 | |
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271 | 271 | ELEMENTNAME = 'Operation' |
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272 | 272 | |
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273 | 273 | def __init__(self): |
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274 | 274 | |
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275 | 275 | self.id = '0' |
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276 | 276 | self.name = None |
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277 | 277 | self.priority = None |
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278 | 278 | self.type = 'self' |
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279 | 279 | |
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280 | 280 | |
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281 | 281 | def __getNewId(self): |
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282 | 282 | |
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283 | 283 | return int(self.id)*10 + len(self.parmConfObjList) + 1 |
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284 | 284 | |
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285 | 285 | def updateId(self, new_id): |
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286 | 286 | |
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287 | 287 | self.id = str(new_id) |
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288 | 288 | |
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289 | 289 | n = 1 |
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290 | 290 | for parmObj in self.parmConfObjList: |
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291 | 291 | |
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292 | 292 | idParm = str(int(new_id)*10 + n) |
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293 | 293 | parmObj.updateId(idParm) |
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294 | 294 | |
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295 | 295 | n += 1 |
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296 | 296 | |
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297 | 297 | def getElementName(self): |
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298 | 298 | |
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299 | 299 | return self.ELEMENTNAME |
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300 | 300 | |
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301 | 301 | def getParameterObjList(self): |
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302 | 302 | |
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303 | 303 | return self.parmConfObjList |
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304 | 304 | |
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305 | 305 | def getParameterObj(self, parameterName): |
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306 | 306 | |
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307 | 307 | for parmConfObj in self.parmConfObjList: |
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308 | 308 | |
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309 | 309 | if parmConfObj.name != parameterName: |
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310 | 310 | continue |
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311 | 311 | |
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312 | 312 | return parmConfObj |
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313 | 313 | |
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314 | 314 | return None |
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315 | 315 | |
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316 | 316 | def getParameterObjfromValue(self, parameterValue): |
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317 | 317 | |
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318 | 318 | for parmConfObj in self.parmConfObjList: |
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319 | 319 | |
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320 | 320 | if parmConfObj.getValue() != parameterValue: |
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321 | 321 | continue |
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322 | 322 | |
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323 | 323 | return parmConfObj.getValue() |
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324 | 324 | |
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325 | 325 | return None |
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326 | 326 | |
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327 | 327 | def getParameterValue(self, parameterName): |
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328 | 328 | |
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329 | 329 | parameterObj = self.getParameterObj(parameterName) |
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330 | 330 | |
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331 | 331 | # if not parameterObj: |
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332 | 332 | # return None |
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333 | 333 | |
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334 | 334 | value = parameterObj.getValue() |
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335 | 335 | |
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336 | 336 | return value |
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337 | 337 | |
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338 | 338 | |
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339 | 339 | def getKwargs(self): |
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340 | 340 | |
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341 | 341 | kwargs = {} |
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342 | 342 | |
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343 | 343 | for parmConfObj in self.parmConfObjList: |
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344 | 344 | if self.name == 'run' and parmConfObj.name == 'datatype': |
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345 | 345 | continue |
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346 | 346 | |
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347 | 347 | kwargs[parmConfObj.name] = parmConfObj.getValue() |
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348 | 348 | |
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349 | 349 | return kwargs |
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350 | 350 | |
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351 | 351 | def setup(self, id, name, priority, type): |
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352 | 352 | |
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353 | 353 | self.id = str(id) |
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354 | 354 | self.name = name |
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355 | 355 | self.type = type |
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356 | 356 | self.priority = priority |
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357 | 357 | |
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358 | 358 | self.parmConfObjList = [] |
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359 | 359 | |
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360 | 360 | def removeParameters(self): |
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361 | 361 | |
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362 | 362 | for obj in self.parmConfObjList: |
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363 | 363 | del obj |
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364 | 364 | |
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365 | 365 | self.parmConfObjList = [] |
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366 | 366 | |
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367 | 367 | def addParameter(self, name, value, format='str'): |
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368 | 368 | |
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369 | 369 | id = self.__getNewId() |
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370 | 370 | |
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371 | 371 | parmConfObj = ParameterConf() |
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372 | 372 | if not parmConfObj.setup(id, name, value, format): |
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373 | 373 | return None |
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374 | 374 | |
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375 | 375 | self.parmConfObjList.append(parmConfObj) |
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376 | 376 | |
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377 | 377 | return parmConfObj |
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378 | 378 | |
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379 | 379 | def changeParameter(self, name, value, format='str'): |
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380 | 380 | |
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381 | 381 | parmConfObj = self.getParameterObj(name) |
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382 | 382 | parmConfObj.update(name, value, format) |
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383 | 383 | |
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384 | 384 | return parmConfObj |
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385 | 385 | |
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386 | 386 | def makeXml(self, procUnitElement): |
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387 | 387 | |
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388 | 388 | opElement = SubElement(procUnitElement, self.ELEMENTNAME) |
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389 | 389 | opElement.set('id', str(self.id)) |
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390 | 390 | opElement.set('name', self.name) |
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391 | 391 | opElement.set('type', self.type) |
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392 | 392 | opElement.set('priority', str(self.priority)) |
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393 | 393 | |
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394 | 394 | for parmConfObj in self.parmConfObjList: |
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395 | 395 | parmConfObj.makeXml(opElement) |
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396 | 396 | |
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397 | 397 | def readXml(self, opElement): |
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398 | 398 | |
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399 | 399 | self.id = opElement.get('id') |
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400 | 400 | self.name = opElement.get('name') |
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401 | 401 | self.type = opElement.get('type') |
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402 | 402 | self.priority = opElement.get('priority') |
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403 | 403 | |
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404 | 404 | #Compatible with old signal chain version |
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405 | 405 | #Use of 'run' method instead 'init' |
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406 | 406 | if self.type == 'self' and self.name == 'init': |
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407 | 407 | self.name = 'run' |
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408 | 408 | |
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409 | 409 | self.parmConfObjList = [] |
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410 | 410 | |
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411 | 411 | parmElementList = opElement.iter(ParameterConf().getElementName()) |
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412 | 412 | |
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413 | 413 | for parmElement in parmElementList: |
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414 | 414 | parmConfObj = ParameterConf() |
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415 | 415 | parmConfObj.readXml(parmElement) |
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416 | 416 | |
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417 | 417 | #Compatible with old signal chain version |
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418 | 418 | #If an 'plot' OPERATION is found, changes name operation by the value of its type PARAMETER |
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419 | 419 | if self.type != 'self' and self.name == 'Plot': |
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420 | 420 | if parmConfObj.format == 'str' and parmConfObj.name == 'type': |
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421 | 421 | self.name = parmConfObj.value |
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422 | 422 | continue |
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423 | 423 | |
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424 | 424 | self.parmConfObjList.append(parmConfObj) |
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425 | 425 | |
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426 | 426 | def printattr(self): |
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427 | 427 | |
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428 | 428 | print "%s[%s]: name = %s, type = %s, priority = %s" %(self.ELEMENTNAME, |
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429 | 429 | self.id, |
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430 | 430 | self.name, |
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431 | 431 | self.type, |
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432 | 432 | self.priority) |
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433 | 433 | |
|
|
434 | 434 | for parmConfObj in self.parmConfObjList: |
|
|
435 | 435 | parmConfObj.printattr() |
|
|
436 | 436 | |
|
|
437 | 437 | def createObject(self, plotter_queue=None): |
|
|
438 | 438 | |
|
|
439 | 439 | |
|
|
440 | 440 | if self.type == 'self': |
|
|
441 | 441 | raise ValueError, "This operation type cannot be created" |
|
|
442 | 442 | |
|
|
443 | 443 | if self.type == 'plotter': |
|
|
444 | 444 | #Plotter(plotter_name) |
|
|
445 | 445 | if not plotter_queue: |
|
|
446 | 446 | raise ValueError, "plotter_queue is not defined. Use:\nmyProject = Project()\nmyProject.setPlotterQueue(plotter_queue)" |
|
|
447 | 447 | |
|
|
448 | 448 | opObj = Plotter(self.name, plotter_queue) |
|
|
449 | 449 | |
|
|
450 | 450 | if self.type == 'external' or self.type == 'other': |
|
|
451 | 451 | |
|
|
452 | 452 | className = eval(self.name) |
|
|
453 | 453 | kwargs = self.getKwargs() |
|
|
454 | 454 | |
|
|
455 | 455 | opObj = className(**kwargs) |
|
|
456 | 456 | |
|
|
457 | 457 | return opObj |
|
|
458 | 458 | |
|
|
459 | 459 | |
|
|
460 | 460 | class ProcUnitConf(): |
|
|
461 | 461 | |
|
|
462 | 462 | id = None |
|
|
463 | 463 | name = None |
|
|
464 | 464 | datatype = None |
|
|
465 | 465 | inputId = None |
|
|
466 | 466 | parentId = None |
|
|
467 | 467 | |
|
|
468 | 468 | opConfObjList = [] |
|
|
469 | 469 | |
|
|
470 | 470 | procUnitObj = None |
|
|
471 | 471 | opObjList = [] |
|
|
472 | 472 | |
|
|
473 | 473 | ELEMENTNAME = 'ProcUnit' |
|
|
474 | 474 | |
|
|
475 | 475 | def __init__(self): |
|
|
476 | 476 | |
|
|
477 | 477 | self.id = None |
|
|
478 | 478 | self.datatype = None |
|
|
479 | 479 | self.name = None |
|
|
480 | 480 | self.inputId = None |
|
|
481 | 481 | |
|
|
482 | 482 | self.opConfObjList = [] |
|
|
483 | 483 | |
|
|
484 | 484 | self.procUnitObj = None |
|
|
485 | 485 | self.opObjDict = {} |
|
|
486 | 486 | |
|
|
487 | 487 | def __getPriority(self): |
|
|
488 | 488 | |
|
|
489 | 489 | return len(self.opConfObjList)+1 |
|
|
490 | 490 | |
|
|
491 | 491 | def __getNewId(self): |
|
|
492 | 492 | |
|
|
493 | 493 | return int(self.id)*10 + len(self.opConfObjList) + 1 |
|
|
494 | 494 | |
|
|
495 | 495 | def getElementName(self): |
|
|
496 | 496 | |
|
|
497 | 497 | return self.ELEMENTNAME |
|
|
498 | 498 | |
|
|
499 | 499 | def getId(self): |
|
|
500 | 500 | |
|
|
501 | 501 | return self.id |
|
|
502 | 502 | |
|
|
503 | 503 | def updateId(self, new_id, parentId=parentId): |
|
|
504 | 504 | |
|
|
505 | 505 | |
|
|
506 | 506 | new_id = int(parentId)*10 + (int(self.id) % 10) |
|
|
507 | 507 | new_inputId = int(parentId)*10 + (int(self.inputId) % 10) |
|
|
508 | 508 | |
|
|
509 | 509 | #If this proc unit has not inputs |
|
|
510 | 510 | if self.inputId == '0': |
|
|
511 | 511 | new_inputId = 0 |
|
|
512 | 512 | |
|
|
513 | 513 | n = 1 |
|
|
514 | 514 | for opConfObj in self.opConfObjList: |
|
|
515 | 515 | |
|
|
516 | 516 | idOp = str(int(new_id)*10 + n) |
|
|
517 | 517 | opConfObj.updateId(idOp) |
|
|
518 | 518 | |
|
|
519 | 519 | n += 1 |
|
|
520 | 520 | |
|
|
521 | 521 | self.parentId = str(parentId) |
|
|
522 | 522 | self.id = str(new_id) |
|
|
523 | 523 | self.inputId = str(new_inputId) |
|
|
524 | 524 | |
|
|
525 | 525 | |
|
|
526 | 526 | def getInputId(self): |
|
|
527 | 527 | |
|
|
528 | 528 | return self.inputId |
|
|
529 | 529 | |
|
|
530 | 530 | def getOperationObjList(self): |
|
|
531 | 531 | |
|
|
532 | 532 | return self.opConfObjList |
|
|
533 | 533 | |
|
|
534 | 534 | def getOperationObj(self, name=None): |
|
|
535 | 535 | |
|
|
536 | 536 | for opConfObj in self.opConfObjList: |
|
|
537 | 537 | |
|
|
538 | 538 | if opConfObj.name != name: |
|
|
539 | 539 | continue |
|
|
540 | 540 | |
|
|
541 | 541 | return opConfObj |
|
|
542 | 542 | |
|
|
543 | 543 | return None |
|
|
544 | 544 | |
|
|
545 | 545 | def getOpObjfromParamValue(self, value=None): |
|
|
546 | 546 | |
|
|
547 | 547 | for opConfObj in self.opConfObjList: |
|
|
548 | 548 | if opConfObj.getParameterObjfromValue(parameterValue=value) != value: |
|
|
549 | 549 | continue |
|
|
550 | 550 | return opConfObj |
|
|
551 | 551 | return None |
|
|
552 | 552 | |
|
|
553 | 553 | def getProcUnitObj(self): |
|
|
554 | 554 | |
|
|
555 | 555 | return self.procUnitObj |
|
|
556 | 556 | |
|
|
557 | 557 | def setup(self, id, name, datatype, inputId, parentId=None): |
|
|
558 | 558 | |
|
|
559 | 559 | #Compatible with old signal chain version |
|
|
560 | 560 | if datatype==None and name==None: |
|
|
561 | 561 | raise ValueError, "datatype or name should be defined" |
|
|
562 | 562 | |
|
|
563 | 563 | if name==None: |
|
|
564 | 564 | if 'Proc' in datatype: |
|
|
565 | 565 | name = datatype |
|
|
566 | 566 | else: |
|
|
567 | 567 | name = '%sProc' %(datatype) |
|
|
568 | 568 | |
|
|
569 | 569 | if datatype==None: |
|
|
570 | 570 | datatype = name.replace('Proc','') |
|
|
571 | 571 | |
|
|
572 | 572 | self.id = str(id) |
|
|
573 | 573 | self.name = name |
|
|
574 | 574 | self.datatype = datatype |
|
|
575 | 575 | self.inputId = inputId |
|
|
576 | 576 | self.parentId = parentId |
|
|
577 | 577 | |
|
|
578 | 578 | self.opConfObjList = [] |
|
|
579 | 579 | |
|
|
580 | 580 | self.addOperation(name='run', optype='self') |
|
|
581 | 581 | |
|
|
582 | 582 | def removeOperations(self): |
|
|
583 | 583 | |
|
|
584 | 584 | for obj in self.opConfObjList: |
|
|
585 | 585 | del obj |
|
|
586 | 586 | |
|
|
587 | 587 | self.opConfObjList = [] |
|
|
588 | 588 | self.addOperation(name='run') |
|
|
589 | 589 | |
|
|
590 | 590 | def addParameter(self, **kwargs): |
|
|
591 | 591 | ''' |
|
|
592 | 592 | Add parameters to "run" operation |
|
|
593 | 593 | ''' |
|
|
594 | 594 | opObj = self.opConfObjList[0] |
|
|
595 | 595 | |
|
|
596 | 596 | opObj.addParameter(**kwargs) |
|
|
597 | 597 | |
|
|
598 | 598 | return opObj |
|
|
599 | 599 | |
|
|
600 | 600 | def addOperation(self, name, optype='self'): |
|
|
601 | 601 | |
|
|
602 | 602 | id = self.__getNewId() |
|
|
603 | 603 | priority = self.__getPriority() |
|
|
604 | 604 | |
|
|
605 | 605 | opConfObj = OperationConf() |
|
|
606 | 606 | opConfObj.setup(id, name=name, priority=priority, type=optype) |
|
|
607 | 607 | |
|
|
608 | 608 | self.opConfObjList.append(opConfObj) |
|
|
609 | 609 | |
|
|
610 | 610 | return opConfObj |
|
|
611 | 611 | |
|
|
612 | 612 | def makeXml(self, projectElement): |
|
|
613 | 613 | |
|
|
614 | 614 | procUnitElement = SubElement(projectElement, self.ELEMENTNAME) |
|
|
615 | 615 | procUnitElement.set('id', str(self.id)) |
|
|
616 | 616 | procUnitElement.set('name', self.name) |
|
|
617 | 617 | procUnitElement.set('datatype', self.datatype) |
|
|
618 | 618 | procUnitElement.set('inputId', str(self.inputId)) |
|
|
619 | 619 | |
|
|
620 | 620 | for opConfObj in self.opConfObjList: |
|
|
621 | 621 | opConfObj.makeXml(procUnitElement) |
|
|
622 | 622 | |
|
|
623 | 623 | def readXml(self, upElement): |
|
|
624 | 624 | |
|
|
625 | 625 | self.id = upElement.get('id') |
|
|
626 | 626 | self.name = upElement.get('name') |
|
|
627 | 627 | self.datatype = upElement.get('datatype') |
|
|
628 | 628 | self.inputId = upElement.get('inputId') |
|
|
629 | 629 | |
|
|
630 | 630 | if self.ELEMENTNAME == "ReadUnit": |
|
|
631 | 631 | self.datatype = self.datatype.replace("Reader", "") |
|
|
632 | 632 | |
|
|
633 | 633 | if self.ELEMENTNAME == "ProcUnit": |
|
|
634 | 634 | self.datatype = self.datatype.replace("Proc", "") |
|
|
635 | 635 | |
|
|
636 | 636 | if self.inputId == 'None': |
|
|
637 | 637 | self.inputId = '0' |
|
|
638 | 638 | |
|
|
639 | 639 | self.opConfObjList = [] |
|
|
640 | 640 | |
|
|
641 | 641 | opElementList = upElement.iter(OperationConf().getElementName()) |
|
|
642 | 642 | |
|
|
643 | 643 | for opElement in opElementList: |
|
|
644 | 644 | opConfObj = OperationConf() |
|
|
645 | 645 | opConfObj.readXml(opElement) |
|
|
646 | 646 | self.opConfObjList.append(opConfObj) |
|
|
647 | 647 | |
|
|
648 | 648 | def printattr(self): |
|
|
649 | 649 | |
|
|
650 | 650 | print "%s[%s]: name = %s, datatype = %s, inputId = %s" %(self.ELEMENTNAME, |
|
|
651 | 651 | self.id, |
|
|
652 | 652 | self.name, |
|
|
653 | 653 | self.datatype, |
|
|
654 | 654 | self.inputId) |
|
|
655 | 655 | |
|
|
656 | 656 | for opConfObj in self.opConfObjList: |
|
|
657 | 657 | opConfObj.printattr() |
|
|
658 | 658 | |
|
|
659 | 659 | |
|
|
660 | 660 | def getKwargs(self): |
|
|
661 | 661 | |
|
|
662 | 662 | opObj = self.opConfObjList[0] |
|
|
663 | 663 | kwargs = opObj.getKwargs() |
|
|
664 | 664 | |
|
|
665 | 665 | return kwargs |
|
|
666 | 666 | |
|
|
667 | 667 | def createObjects(self, plotter_queue=None): |
|
|
668 | 668 | |
|
|
669 | 669 | className = eval(self.name) |
|
|
670 | 670 | kwargs = self.getKwargs() |
|
|
671 | 671 | procUnitObj = className(**kwargs) |
|
|
672 | 672 | |
|
|
673 | 673 | for opConfObj in self.opConfObjList: |
|
|
674 | 674 | |
|
|
675 | 675 | if opConfObj.type=='self' and self.name=='run': |
|
|
676 | 676 | continue |
|
|
677 | 677 | elif opConfObj.type=='self': |
|
|
678 | 678 | procUnitObj.addOperationKwargs(opConfObj.id, **opConfObj.getKwargs()) |
|
|
679 | 679 | continue |
|
|
680 | 680 | |
|
|
681 | 681 | opObj = opConfObj.createObject(plotter_queue) |
|
|
682 | 682 | |
|
|
683 | 683 | self.opObjDict[opConfObj.id] = opObj |
|
|
684 | 684 | |
|
|
685 | 685 | procUnitObj.addOperation(opObj, opConfObj.id) |
|
|
686 | 686 | |
|
|
687 | 687 | self.procUnitObj = procUnitObj |
|
|
688 | 688 | |
|
|
689 | 689 | return procUnitObj |
|
|
690 | 690 | |
|
|
691 | 691 | def run(self): |
|
|
692 | 692 | |
|
|
693 | 693 | is_ok = False |
|
|
694 | 694 | |
|
|
695 | 695 | for opConfObj in self.opConfObjList: |
|
|
696 | 696 | |
|
|
697 | 697 | kwargs = {} |
|
|
698 | 698 | for parmConfObj in opConfObj.getParameterObjList(): |
|
|
699 | 699 | if opConfObj.name == 'run' and parmConfObj.name == 'datatype': |
|
|
700 | 700 | continue |
|
|
701 | 701 | |
|
|
702 | 702 | kwargs[parmConfObj.name] = parmConfObj.getValue() |
|
|
703 | 703 | |
|
|
704 | 704 | #ini = time.time() |
|
|
705 | 705 | |
|
|
706 | 706 | #print "\tRunning the '%s' operation with %s" %(opConfObj.name, opConfObj.id) |
|
|
707 | 707 | sts = self.procUnitObj.call(opType = opConfObj.type, |
|
|
708 | 708 | opName = opConfObj.name, |
|
|
709 |
opId = opConfObj.id |
|
|
|
709 | opId = opConfObj.id | |
|
|
710 | 710 | ) |
|
|
711 | 711 | |
|
|
712 | 712 | # total_time = time.time() - ini |
|
|
713 | 713 | # |
|
|
714 | 714 | # if total_time > 0.002: |
|
|
715 | 715 | # print "%s::%s took %f seconds" %(self.name, opConfObj.name, total_time) |
|
|
716 | 716 | |
|
|
717 | 717 | is_ok = is_ok or sts |
|
|
718 | 718 | |
|
|
719 | 719 | return is_ok |
|
|
720 | 720 | |
|
|
721 | 721 | def close(self): |
|
|
722 | 722 | |
|
|
723 | 723 | for opConfObj in self.opConfObjList: |
|
|
724 | 724 | if opConfObj.type == 'self': |
|
|
725 | 725 | continue |
|
|
726 | 726 | |
|
|
727 | 727 | opObj = self.procUnitObj.getOperationObj(opConfObj.id) |
|
|
728 | 728 | opObj.close() |
|
|
729 | 729 | |
|
|
730 | 730 | self.procUnitObj.close() |
|
|
731 | 731 | |
|
|
732 | 732 | return |
|
|
733 | 733 | |
|
|
734 | 734 | class ReadUnitConf(ProcUnitConf): |
|
|
735 | 735 | |
|
|
736 | 736 | path = None |
|
|
737 | 737 | startDate = None |
|
|
738 | 738 | endDate = None |
|
|
739 | 739 | startTime = None |
|
|
740 | 740 | endTime = None |
|
|
741 | 741 | |
|
|
742 | 742 | ELEMENTNAME = 'ReadUnit' |
|
|
743 | 743 | |
|
|
744 | 744 | def __init__(self): |
|
|
745 | 745 | |
|
|
746 | 746 | self.id = None |
|
|
747 | 747 | self.datatype = None |
|
|
748 | 748 | self.name = None |
|
|
749 | 749 | self.inputId = None |
|
|
750 | 750 | |
|
|
751 | 751 | self.parentId = None |
|
|
752 | 752 | |
|
|
753 | 753 | self.opConfObjList = [] |
|
|
754 | 754 | self.opObjList = [] |
|
|
755 | 755 | |
|
|
756 | 756 | def getElementName(self): |
|
|
757 | 757 | |
|
|
758 | 758 | return self.ELEMENTNAME |
|
|
759 | 759 | |
|
|
760 | 760 | def setup(self, id, name, datatype, path, startDate="", endDate="", startTime="", endTime="", parentId=None, queue=None, **kwargs): |
|
|
761 | 761 | |
|
|
762 | 762 | #Compatible with old signal chain version |
|
|
763 | 763 | if datatype==None and name==None: |
|
|
764 | 764 | raise ValueError, "datatype or name should be defined" |
|
|
765 | 765 | |
|
|
766 | 766 | if name==None: |
|
|
767 | 767 | if 'Reader' in datatype: |
|
|
768 | 768 | name = datatype |
|
|
769 | 769 | else: |
|
|
770 | 770 | name = '%sReader' %(datatype) |
|
|
771 | 771 | |
|
|
772 | 772 | if datatype==None: |
|
|
773 | 773 | datatype = name.replace('Reader','') |
|
|
774 | 774 | |
|
|
775 | 775 | self.id = id |
|
|
776 | 776 | self.name = name |
|
|
777 | 777 | self.datatype = datatype |
|
|
778 | 778 | |
|
|
779 | 779 | self.path = os.path.abspath(path) |
|
|
780 | 780 | self.startDate = startDate |
|
|
781 | 781 | self.endDate = endDate |
|
|
782 | 782 | self.startTime = startTime |
|
|
783 | 783 | self.endTime = endTime |
|
|
784 | 784 | |
|
|
785 | 785 | self.inputId = '0' |
|
|
786 | 786 | self.parentId = parentId |
|
|
787 | 787 | self.queue = queue |
|
|
788 | 788 | self.addRunOperation(**kwargs) |
|
|
789 | 789 | |
|
|
790 | 790 | def update(self, datatype, path, startDate, endDate, startTime, endTime, parentId=None, name=None, **kwargs): |
|
|
791 | 791 | |
|
|
792 | 792 | #Compatible with old signal chain version |
|
|
793 | 793 | if datatype==None and name==None: |
|
|
794 | 794 | raise ValueError, "datatype or name should be defined" |
|
|
795 | 795 | |
|
|
796 | 796 | if name==None: |
|
|
797 | 797 | if 'Reader' in datatype: |
|
|
798 | 798 | name = datatype |
|
|
799 | 799 | else: |
|
|
800 | 800 | name = '%sReader' %(datatype) |
|
|
801 | 801 | |
|
|
802 | 802 | if datatype==None: |
|
|
803 | 803 | datatype = name.replace('Reader','') |
|
|
804 | 804 | |
|
|
805 | 805 | self.datatype = datatype |
|
|
806 | 806 | self.name = name |
|
|
807 | 807 | self.path = path |
|
|
808 | 808 | self.startDate = startDate |
|
|
809 | 809 | self.endDate = endDate |
|
|
810 | 810 | self.startTime = startTime |
|
|
811 | 811 | self.endTime = endTime |
|
|
812 | 812 | |
|
|
813 | 813 | self.inputId = '0' |
|
|
814 | 814 | self.parentId = parentId |
|
|
815 | 815 | |
|
|
816 | 816 | self.updateRunOperation(**kwargs) |
|
|
817 | 817 | |
|
|
818 | 818 | def removeOperations(self): |
|
|
819 | 819 | |
|
|
820 | 820 | for obj in self.opConfObjList: |
|
|
821 | 821 | del obj |
|
|
822 | 822 | |
|
|
823 | 823 | self.opConfObjList = [] |
|
|
824 | 824 | |
|
|
825 | 825 | def addRunOperation(self, **kwargs): |
|
|
826 | 826 | |
|
|
827 | 827 | opObj = self.addOperation(name = 'run', optype = 'self') |
|
|
828 | 828 | |
|
|
829 | 829 | opObj.addParameter(name='datatype' , value=self.datatype, format='str') |
|
|
830 | 830 | opObj.addParameter(name='path' , value=self.path, format='str') |
|
|
831 | 831 | opObj.addParameter(name='startDate' , value=self.startDate, format='date') |
|
|
832 | 832 | opObj.addParameter(name='endDate' , value=self.endDate, format='date') |
|
|
833 | 833 | opObj.addParameter(name='startTime' , value=self.startTime, format='time') |
|
|
834 | 834 | opObj.addParameter(name='endTime' , value=self.endTime, format='time') |
|
|
835 | 835 | opObj.addParameter(name='queue' , value=self.queue, format='obj') |
|
|
836 | 836 | |
|
|
837 | 837 | for key, value in kwargs.items(): |
|
|
838 | 838 | opObj.addParameter(name=key, value=value, format=type(value).__name__) |
|
|
839 | 839 | |
|
|
840 | 840 | return opObj |
|
|
841 | 841 | |
|
|
842 | 842 | def updateRunOperation(self, **kwargs): |
|
|
843 | 843 | |
|
|
844 | 844 | opObj = self.getOperationObj(name = 'run') |
|
|
845 | 845 | opObj.removeParameters() |
|
|
846 | 846 | |
|
|
847 | 847 | opObj.addParameter(name='datatype' , value=self.datatype, format='str') |
|
|
848 | 848 | opObj.addParameter(name='path' , value=self.path, format='str') |
|
|
849 | 849 | opObj.addParameter(name='startDate' , value=self.startDate, format='date') |
|
|
850 | 850 | opObj.addParameter(name='endDate' , value=self.endDate, format='date') |
|
|
851 | 851 | opObj.addParameter(name='startTime' , value=self.startTime, format='time') |
|
|
852 | 852 | opObj.addParameter(name='endTime' , value=self.endTime, format='time') |
|
|
853 | 853 | |
|
|
854 | 854 | for key, value in kwargs.items(): |
|
|
855 | 855 | opObj.addParameter(name=key, value=value, format=type(value).__name__) |
|
|
856 | 856 | |
|
|
857 | 857 | return opObj |
|
|
858 | 858 | |
|
|
859 | 859 | # def makeXml(self, projectElement): |
|
|
860 | 860 | # |
|
|
861 | 861 | # procUnitElement = SubElement(projectElement, self.ELEMENTNAME) |
|
|
862 | 862 | # procUnitElement.set('id', str(self.id)) |
|
|
863 | 863 | # procUnitElement.set('name', self.name) |
|
|
864 | 864 | # procUnitElement.set('datatype', self.datatype) |
|
|
865 | 865 | # procUnitElement.set('inputId', str(self.inputId)) |
|
|
866 | 866 | # |
|
|
867 | 867 | # for opConfObj in self.opConfObjList: |
|
|
868 | 868 | # opConfObj.makeXml(procUnitElement) |
|
|
869 | 869 | |
|
|
870 | 870 | def readXml(self, upElement): |
|
|
871 | 871 | |
|
|
872 | 872 | self.id = upElement.get('id') |
|
|
873 | 873 | self.name = upElement.get('name') |
|
|
874 | 874 | self.datatype = upElement.get('datatype') |
|
|
875 | 875 | self.inputId = upElement.get('inputId') |
|
|
876 | 876 | |
|
|
877 | 877 | if self.ELEMENTNAME == "ReadUnit": |
|
|
878 | 878 | self.datatype = self.datatype.replace("Reader", "") |
|
|
879 | 879 | |
|
|
880 | 880 | if self.inputId == 'None': |
|
|
881 | 881 | self.inputId = '0' |
|
|
882 | 882 | |
|
|
883 | 883 | self.opConfObjList = [] |
|
|
884 | 884 | |
|
|
885 | 885 | opElementList = upElement.iter(OperationConf().getElementName()) |
|
|
886 | 886 | |
|
|
887 | 887 | for opElement in opElementList: |
|
|
888 | 888 | opConfObj = OperationConf() |
|
|
889 | 889 | opConfObj.readXml(opElement) |
|
|
890 | 890 | self.opConfObjList.append(opConfObj) |
|
|
891 | 891 | |
|
|
892 | 892 | if opConfObj.name == 'run': |
|
|
893 | 893 | self.path = opConfObj.getParameterValue('path') |
|
|
894 | 894 | self.startDate = opConfObj.getParameterValue('startDate') |
|
|
895 | 895 | self.endDate = opConfObj.getParameterValue('endDate') |
|
|
896 | 896 | self.startTime = opConfObj.getParameterValue('startTime') |
|
|
897 | 897 | self.endTime = opConfObj.getParameterValue('endTime') |
|
|
898 | 898 | |
|
|
899 | 899 | class Project(): |
|
|
900 | 900 | |
|
|
901 | 901 | id = None |
|
|
902 | 902 | name = None |
|
|
903 | 903 | description = None |
|
|
904 | 904 | filename = None |
|
|
905 | 905 | |
|
|
906 | 906 | procUnitConfObjDict = None |
|
|
907 | 907 | |
|
|
908 | 908 | ELEMENTNAME = 'Project' |
|
|
909 | 909 | |
|
|
910 | 910 | plotterQueue = None |
|
|
911 | 911 | |
|
|
912 | 912 | def __init__(self, plotter_queue=None): |
|
|
913 | 913 | |
|
|
914 | 914 | self.id = None |
|
|
915 | 915 | self.name = None |
|
|
916 | 916 | self.description = None |
|
|
917 | 917 | |
|
|
918 | 918 | self.plotterQueue = plotter_queue |
|
|
919 | 919 | |
|
|
920 | 920 | self.procUnitConfObjDict = {} |
|
|
921 | 921 | |
|
|
922 | 922 | def __getNewId(self): |
|
|
923 | 923 | |
|
|
924 | 924 | idList = self.procUnitConfObjDict.keys() |
|
|
925 | 925 | |
|
|
926 | 926 | id = int(self.id)*10 |
|
|
927 | 927 | |
|
|
928 | 928 | while True: |
|
|
929 | 929 | id += 1 |
|
|
930 | 930 | |
|
|
931 | 931 | if str(id) in idList: |
|
|
932 | 932 | continue |
|
|
933 | 933 | |
|
|
934 | 934 | break |
|
|
935 | 935 | |
|
|
936 | 936 | return str(id) |
|
|
937 | 937 | |
|
|
938 | 938 | def getElementName(self): |
|
|
939 | 939 | |
|
|
940 | 940 | return self.ELEMENTNAME |
|
|
941 | 941 | |
|
|
942 | 942 | def getId(self): |
|
|
943 | 943 | |
|
|
944 | 944 | return self.id |
|
|
945 | 945 | |
|
|
946 | 946 | def updateId(self, new_id): |
|
|
947 | 947 | |
|
|
948 | 948 | self.id = str(new_id) |
|
|
949 | 949 | |
|
|
950 | 950 | keyList = self.procUnitConfObjDict.keys() |
|
|
951 | 951 | keyList.sort() |
|
|
952 | 952 | |
|
|
953 | 953 | n = 1 |
|
|
954 | 954 | newProcUnitConfObjDict = {} |
|
|
955 | 955 | |
|
|
956 | 956 | for procKey in keyList: |
|
|
957 | 957 | |
|
|
958 | 958 | procUnitConfObj = self.procUnitConfObjDict[procKey] |
|
|
959 | 959 | idProcUnit = str(int(self.id)*10 + n) |
|
|
960 | 960 | procUnitConfObj.updateId(idProcUnit, parentId = self.id) |
|
|
961 | 961 | |
|
|
962 | 962 | newProcUnitConfObjDict[idProcUnit] = procUnitConfObj |
|
|
963 | 963 | n += 1 |
|
|
964 | 964 | |
|
|
965 | 965 | self.procUnitConfObjDict = newProcUnitConfObjDict |
|
|
966 | 966 | |
|
|
967 | 967 | def setup(self, id, name, description): |
|
|
968 | 968 | |
|
|
969 | 969 | self.id = str(id) |
|
|
970 | 970 | self.name = name |
|
|
971 | 971 | self.description = description |
|
|
972 | 972 | |
|
|
973 | 973 | def update(self, name, description): |
|
|
974 | 974 | |
|
|
975 | 975 | self.name = name |
|
|
976 | 976 | self.description = description |
|
|
977 | 977 | |
|
|
978 | 978 | def addReadUnit(self, id=None, datatype=None, name=None, **kwargs): |
|
|
979 | 979 | |
|
|
980 | 980 | if id is None: |
|
|
981 | 981 | idReadUnit = self.__getNewId() |
|
|
982 | 982 | else: |
|
|
983 | 983 | idReadUnit = str(id) |
|
|
984 | 984 | |
|
|
985 | 985 | readUnitConfObj = ReadUnitConf() |
|
|
986 | 986 | readUnitConfObj.setup(idReadUnit, name, datatype, parentId=self.id, **kwargs) |
|
|
987 | 987 | |
|
|
988 | 988 | self.procUnitConfObjDict[readUnitConfObj.getId()] = readUnitConfObj |
|
|
989 | 989 | |
|
|
990 | 990 | return readUnitConfObj |
|
|
991 | 991 | |
|
|
992 | 992 | def addProcUnit(self, inputId='0', datatype=None, name=None): |
|
|
993 | 993 | |
|
|
994 | 994 | idProcUnit = self.__getNewId() |
|
|
995 | 995 | |
|
|
996 | 996 | procUnitConfObj = ProcUnitConf() |
|
|
997 | 997 | procUnitConfObj.setup(idProcUnit, name, datatype, inputId, parentId=self.id) |
|
|
998 | 998 | |
|
|
999 | 999 | self.procUnitConfObjDict[procUnitConfObj.getId()] = procUnitConfObj |
|
|
1000 | 1000 | |
|
|
1001 | 1001 | return procUnitConfObj |
|
|
1002 | 1002 | |
|
|
1003 | 1003 | def removeProcUnit(self, id): |
|
|
1004 | 1004 | |
|
|
1005 | 1005 | if id in self.procUnitConfObjDict.keys(): |
|
|
1006 | 1006 | self.procUnitConfObjDict.pop(id) |
|
|
1007 | 1007 | |
|
|
1008 | 1008 | def getReadUnitId(self): |
|
|
1009 | 1009 | |
|
|
1010 | 1010 | readUnitConfObj = self.getReadUnitObj() |
|
|
1011 | 1011 | |
|
|
1012 | 1012 | return readUnitConfObj.id |
|
|
1013 | 1013 | |
|
|
1014 | 1014 | def getReadUnitObj(self): |
|
|
1015 | 1015 | |
|
|
1016 | 1016 | for obj in self.procUnitConfObjDict.values(): |
|
|
1017 | 1017 | if obj.getElementName() == "ReadUnit": |
|
|
1018 | 1018 | return obj |
|
|
1019 | 1019 | |
|
|
1020 | 1020 | return None |
|
|
1021 | 1021 | |
|
|
1022 | 1022 | def getProcUnitObj(self, id=None, name=None): |
|
|
1023 | 1023 | |
|
|
1024 | 1024 | if id != None: |
|
|
1025 | 1025 | return self.procUnitConfObjDict[id] |
|
|
1026 | 1026 | |
|
|
1027 | 1027 | if name != None: |
|
|
1028 | 1028 | return self.getProcUnitObjByName(name) |
|
|
1029 | 1029 | |
|
|
1030 | 1030 | return None |
|
|
1031 | 1031 | |
|
|
1032 | 1032 | def getProcUnitObjByName(self, name): |
|
|
1033 | 1033 | |
|
|
1034 | 1034 | for obj in self.procUnitConfObjDict.values(): |
|
|
1035 | 1035 | if obj.name == name: |
|
|
1036 | 1036 | return obj |
|
|
1037 | 1037 | |
|
|
1038 | 1038 | return None |
|
|
1039 | 1039 | |
|
|
1040 | 1040 | def procUnitItems(self): |
|
|
1041 | 1041 | |
|
|
1042 | 1042 | return self.procUnitConfObjDict.items() |
|
|
1043 | 1043 | |
|
|
1044 | 1044 | def makeXml(self): |
|
|
1045 | 1045 | |
|
|
1046 | 1046 | projectElement = Element('Project') |
|
|
1047 | 1047 | projectElement.set('id', str(self.id)) |
|
|
1048 | 1048 | projectElement.set('name', self.name) |
|
|
1049 | 1049 | projectElement.set('description', self.description) |
|
|
1050 | 1050 | |
|
|
1051 | 1051 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
|
1052 | 1052 | procUnitConfObj.makeXml(projectElement) |
|
|
1053 | 1053 | |
|
|
1054 | 1054 | self.projectElement = projectElement |
|
|
1055 | 1055 | |
|
|
1056 | 1056 | def writeXml(self, filename=None): |
|
|
1057 | 1057 | |
|
|
1058 | 1058 | if filename == None: |
|
|
1059 | 1059 | if self.filename: |
|
|
1060 | 1060 | filename = self.filename |
|
|
1061 | 1061 | else: |
|
|
1062 | 1062 | filename = "schain.xml" |
|
|
1063 | 1063 | |
|
|
1064 | 1064 | if not filename: |
|
|
1065 | 1065 | print "filename has not been defined. Use setFilename(filename) for do it." |
|
|
1066 | 1066 | return 0 |
|
|
1067 | 1067 | |
|
|
1068 | 1068 | abs_file = os.path.abspath(filename) |
|
|
1069 | 1069 | |
|
|
1070 | 1070 | if not os.access(os.path.dirname(abs_file), os.W_OK): |
|
|
1071 | 1071 | print "No write permission on %s" %os.path.dirname(abs_file) |
|
|
1072 | 1072 | return 0 |
|
|
1073 | 1073 | |
|
|
1074 | 1074 | if os.path.isfile(abs_file) and not(os.access(abs_file, os.W_OK)): |
|
|
1075 | 1075 | print "File %s already exists and it could not be overwriten" %abs_file |
|
|
1076 | 1076 | return 0 |
|
|
1077 | 1077 | |
|
|
1078 | 1078 | self.makeXml() |
|
|
1079 | 1079 | |
|
|
1080 | 1080 | ElementTree(self.projectElement).write(abs_file, method='xml') |
|
|
1081 | 1081 | |
|
|
1082 | 1082 | self.filename = abs_file |
|
|
1083 | 1083 | |
|
|
1084 | 1084 | return 1 |
|
|
1085 | 1085 | |
|
|
1086 | 1086 | def readXml(self, filename = None): |
|
|
1087 | 1087 | |
|
|
1088 | 1088 | if not filename: |
|
|
1089 | 1089 | print "filename is not defined" |
|
|
1090 | 1090 | return 0 |
|
|
1091 | 1091 | |
|
|
1092 | 1092 | abs_file = os.path.abspath(filename) |
|
|
1093 | 1093 | |
|
|
1094 | 1094 | if not os.path.isfile(abs_file): |
|
|
1095 | 1095 | print "%s file does not exist" %abs_file |
|
|
1096 | 1096 | return 0 |
|
|
1097 | 1097 | |
|
|
1098 | 1098 | self.projectElement = None |
|
|
1099 | 1099 | self.procUnitConfObjDict = {} |
|
|
1100 | 1100 | |
|
|
1101 | 1101 | try: |
|
|
1102 | 1102 | self.projectElement = ElementTree().parse(abs_file) |
|
|
1103 | 1103 | except: |
|
|
1104 | 1104 | print "Error reading %s, verify file format" %filename |
|
|
1105 | 1105 | return 0 |
|
|
1106 | 1106 | |
|
|
1107 | 1107 | self.project = self.projectElement.tag |
|
|
1108 | 1108 | |
|
|
1109 | 1109 | self.id = self.projectElement.get('id') |
|
|
1110 | 1110 | self.name = self.projectElement.get('name') |
|
|
1111 | 1111 | self.description = self.projectElement.get('description') |
|
|
1112 | 1112 | |
|
|
1113 | 1113 | readUnitElementList = self.projectElement.iter(ReadUnitConf().getElementName()) |
|
|
1114 | 1114 | |
|
|
1115 | 1115 | for readUnitElement in readUnitElementList: |
|
|
1116 | 1116 | readUnitConfObj = ReadUnitConf() |
|
|
1117 | 1117 | readUnitConfObj.readXml(readUnitElement) |
|
|
1118 | 1118 | |
|
|
1119 | 1119 | if readUnitConfObj.parentId == None: |
|
|
1120 | 1120 | readUnitConfObj.parentId = self.id |
|
|
1121 | 1121 | |
|
|
1122 | 1122 | self.procUnitConfObjDict[readUnitConfObj.getId()] = readUnitConfObj |
|
|
1123 | 1123 | |
|
|
1124 | 1124 | procUnitElementList = self.projectElement.iter(ProcUnitConf().getElementName()) |
|
|
1125 | 1125 | |
|
|
1126 | 1126 | for procUnitElement in procUnitElementList: |
|
|
1127 | 1127 | procUnitConfObj = ProcUnitConf() |
|
|
1128 | 1128 | procUnitConfObj.readXml(procUnitElement) |
|
|
1129 | 1129 | |
|
|
1130 | 1130 | if procUnitConfObj.parentId == None: |
|
|
1131 | 1131 | procUnitConfObj.parentId = self.id |
|
|
1132 | 1132 | |
|
|
1133 | 1133 | self.procUnitConfObjDict[procUnitConfObj.getId()] = procUnitConfObj |
|
|
1134 | 1134 | |
|
|
1135 | 1135 | self.filename = abs_file |
|
|
1136 | 1136 | |
|
|
1137 | 1137 | return 1 |
|
|
1138 | 1138 | |
|
|
1139 | 1139 | def printattr(self): |
|
|
1140 | 1140 | |
|
|
1141 | 1141 | print "Project[%s]: name = %s, description = %s" %(self.id, |
|
|
1142 | 1142 | self.name, |
|
|
1143 | 1143 | self.description) |
|
|
1144 | 1144 | |
|
|
1145 | 1145 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
|
1146 | 1146 | procUnitConfObj.printattr() |
|
|
1147 | 1147 | |
|
|
1148 | 1148 | def createObjects(self): |
|
|
1149 | 1149 | |
|
|
1150 | 1150 | for procUnitConfObj in self.procUnitConfObjDict.values(): |
|
|
1151 | 1151 | procUnitConfObj.createObjects(self.plotterQueue) |
|
|
1152 | 1152 | |
|
|
1153 | 1153 | def __connect(self, objIN, thisObj): |
|
|
1154 | 1154 | |
|
|
1155 | 1155 | thisObj.setInput(objIN.getOutputObj()) |
|
|
1156 | 1156 | |
|
|
1157 | 1157 | def connectObjects(self): |
|
|
1158 | 1158 | |
|
|
1159 | 1159 | for thisPUConfObj in self.procUnitConfObjDict.values(): |
|
|
1160 | 1160 | |
|
|
1161 | 1161 | inputId = thisPUConfObj.getInputId() |
|
|
1162 | 1162 | |
|
|
1163 | 1163 | if int(inputId) == 0: |
|
|
1164 | 1164 | continue |
|
|
1165 | 1165 | |
|
|
1166 | 1166 | #Get input object |
|
|
1167 | 1167 | puConfINObj = self.procUnitConfObjDict[inputId] |
|
|
1168 | 1168 | puObjIN = puConfINObj.getProcUnitObj() |
|
|
1169 | 1169 | |
|
|
1170 | 1170 | #Get current object |
|
|
1171 | 1171 | thisPUObj = thisPUConfObj.getProcUnitObj() |
|
|
1172 | 1172 | |
|
|
1173 | 1173 | self.__connect(puObjIN, thisPUObj) |
|
|
1174 | 1174 | |
|
|
1175 | 1175 | def __handleError(self, procUnitConfObj, send_email=True): |
|
|
1176 | 1176 | |
|
|
1177 | 1177 | import socket |
|
|
1178 | 1178 | |
|
|
1179 | 1179 | err = traceback.format_exception(sys.exc_info()[0], |
|
|
1180 | 1180 | sys.exc_info()[1], |
|
|
1181 | 1181 | sys.exc_info()[2]) |
|
|
1182 | 1182 | |
|
|
1183 | 1183 | print "***** Error occurred in %s *****" %(procUnitConfObj.name) |
|
|
1184 | 1184 | print "***** %s" %err[-1] |
|
|
1185 | 1185 | |
|
|
1186 | 1186 | message = "".join(err) |
|
|
1187 | 1187 | |
|
|
1188 | 1188 | sys.stderr.write(message) |
|
|
1189 | 1189 | |
|
|
1190 | 1190 | if not send_email: |
|
|
1191 | 1191 | return |
|
|
1192 | 1192 | |
|
|
1193 | 1193 | subject = "SChain v%s: Error running %s\n" %(schainpy.__version__, procUnitConfObj.name) |
|
|
1194 | 1194 | |
|
|
1195 | 1195 | subtitle = "%s: %s\n" %(procUnitConfObj.getElementName() ,procUnitConfObj.name) |
|
|
1196 | 1196 | subtitle += "Hostname: %s\n" %socket.gethostbyname(socket.gethostname()) |
|
|
1197 | 1197 | subtitle += "Working directory: %s\n" %os.path.abspath("./") |
|
|
1198 | 1198 | subtitle += "Configuration file: %s\n" %self.filename |
|
|
1199 | 1199 | subtitle += "Time: %s\n" %str(datetime.datetime.now()) |
|
|
1200 | 1200 | |
|
|
1201 | 1201 | readUnitConfObj = self.getReadUnitObj() |
|
|
1202 | 1202 | if readUnitConfObj: |
|
|
1203 | 1203 | subtitle += "\nInput parameters:\n" |
|
|
1204 | 1204 | subtitle += "[Data path = %s]\n" %readUnitConfObj.path |
|
|
1205 | 1205 | subtitle += "[Data type = %s]\n" %readUnitConfObj.datatype |
|
|
1206 | 1206 | subtitle += "[Start date = %s]\n" %readUnitConfObj.startDate |
|
|
1207 | 1207 | subtitle += "[End date = %s]\n" %readUnitConfObj.endDate |
|
|
1208 | 1208 | subtitle += "[Start time = %s]\n" %readUnitConfObj.startTime |
|
|
1209 | 1209 | subtitle += "[End time = %s]\n" %readUnitConfObj.endTime |
|
|
1210 | 1210 | |
|
|
1211 | 1211 | adminObj = schainpy.admin.SchainNotify() |
|
|
1212 | 1212 | adminObj.sendAlert(message=message, |
|
|
1213 | 1213 | subject=subject, |
|
|
1214 | 1214 | subtitle=subtitle, |
|
|
1215 | 1215 | filename=self.filename) |
|
|
1216 | 1216 | |
|
|
1217 | 1217 | def isPaused(self): |
|
|
1218 | 1218 | return 0 |
|
|
1219 | 1219 | |
|
|
1220 | 1220 | def isStopped(self): |
|
|
1221 | 1221 | return 0 |
|
|
1222 | 1222 | |
|
|
1223 | 1223 | def runController(self): |
|
|
1224 | 1224 | """ |
|
|
1225 | 1225 | returns 0 when this process has been stopped, 1 otherwise |
|
|
1226 | 1226 | """ |
|
|
1227 | 1227 | |
|
|
1228 | 1228 | if self.isPaused(): |
|
|
1229 | 1229 | print "Process suspended" |
|
|
1230 | 1230 | |
|
|
1231 | 1231 | while True: |
|
|
1232 | 1232 | sleep(0.1) |
|
|
1233 | 1233 | |
|
|
1234 | 1234 | if not self.isPaused(): |
|
|
1235 | 1235 | break |
|
|
1236 | 1236 | |
|
|
1237 | 1237 | if self.isStopped(): |
|
|
1238 | 1238 | break |
|
|
1239 | 1239 | |
|
|
1240 | 1240 | print "Process reinitialized" |
|
|
1241 | 1241 | |
|
|
1242 | 1242 | if self.isStopped(): |
|
|
1243 | 1243 | print "Process stopped" |
|
|
1244 | 1244 | return 0 |
|
|
1245 | 1245 | |
|
|
1246 | 1246 | return 1 |
|
|
1247 | 1247 | |
|
|
1248 | 1248 | def setFilename(self, filename): |
|
|
1249 | 1249 | |
|
|
1250 | 1250 | self.filename = filename |
|
|
1251 | 1251 | |
|
|
1252 | 1252 | def setPlotterQueue(self, plotter_queue): |
|
|
1253 | 1253 | |
|
|
1254 | 1254 | raise NotImplementedError, "Use schainpy.controller_api.ControllerThread instead Project class" |
|
|
1255 | 1255 | |
|
|
1256 | 1256 | def getPlotterQueue(self): |
|
|
1257 | 1257 | |
|
|
1258 | 1258 | raise NotImplementedError, "Use schainpy.controller_api.ControllerThread instead Project class" |
|
|
1259 | 1259 | |
|
|
1260 | 1260 | def useExternalPlotter(self): |
|
|
1261 | 1261 | |
|
|
1262 | 1262 | raise NotImplementedError, "Use schainpy.controller_api.ControllerThread instead Project class" |
|
|
1263 | 1263 | |
|
|
1264 | 1264 | def run(self): |
|
|
1265 | 1265 | |
|
|
1266 | 1266 | |
|
|
1267 | 1267 | print "*"*60 |
|
|
1268 | 1268 | print " Starting SIGNAL CHAIN PROCESSING v%s " %schainpy.__version__ |
|
|
1269 | 1269 | print "*"*60 |
|
|
1270 | 1270 | |
|
|
1271 | 1271 | |
|
|
1272 | 1272 | keyList = self.procUnitConfObjDict.keys() |
|
|
1273 | 1273 | keyList.sort() |
|
|
1274 | 1274 | |
|
|
1275 | 1275 | while(True): |
|
|
1276 | 1276 | |
|
|
1277 | 1277 | is_ok = False |
|
|
1278 | 1278 | |
|
|
1279 | 1279 | for procKey in keyList: |
|
|
1280 | 1280 | # print "Running the '%s' process with %s" %(procUnitConfObj.name, procUnitConfObj.id) |
|
|
1281 | 1281 | |
|
|
1282 | 1282 | procUnitConfObj = self.procUnitConfObjDict[procKey] |
|
|
1283 | 1283 | |
|
|
1284 | 1284 | try: |
|
|
1285 | 1285 | sts = procUnitConfObj.run() |
|
|
1286 | 1286 | is_ok = is_ok or sts |
|
|
1287 | 1287 | except KeyboardInterrupt: |
|
|
1288 | 1288 | is_ok = False |
|
|
1289 | 1289 | break |
|
|
1290 | 1290 | except ValueError, e: |
|
|
1291 | 1291 | sleep(0.5) |
|
|
1292 | 1292 | self.__handleError(procUnitConfObj, send_email=True) |
|
|
1293 | 1293 | is_ok = False |
|
|
1294 | 1294 | break |
|
|
1295 | 1295 | except: |
|
|
1296 | 1296 | sleep(0.5) |
|
|
1297 | 1297 | self.__handleError(procUnitConfObj) |
|
|
1298 | 1298 | is_ok = False |
|
|
1299 | 1299 | break |
|
|
1300 | 1300 | |
|
|
1301 | 1301 | #If every process unit finished so end process |
|
|
1302 | 1302 | if not(is_ok): |
|
|
1303 | 1303 | # print "Every process unit have finished" |
|
|
1304 | 1304 | break |
|
|
1305 | 1305 | |
|
|
1306 | 1306 | if not self.runController(): |
|
|
1307 | 1307 | break |
|
|
1308 | 1308 | |
|
|
1309 | 1309 | #Closing every process |
|
|
1310 | 1310 | for procKey in keyList: |
|
|
1311 | 1311 | procUnitConfObj = self.procUnitConfObjDict[procKey] |
|
|
1312 | 1312 | procUnitConfObj.close() |
|
|
1313 | 1313 | |
|
|
1314 | 1314 | print "Process finished" |
|
|
1315 | 1315 | |
|
|
1316 | 1316 | def start(self, filename=None): |
|
|
1317 | 1317 | |
|
|
1318 | 1318 | self.writeXml(filename) |
|
|
1319 | 1319 | self.createObjects() |
|
|
1320 | 1320 | self.connectObjects() |
|
|
1321 | 1321 | self.run() |
| @@ -1,2154 +1,2155 | |||
|
|
1 | 1 | import os |
|
|
2 | 2 | import datetime |
|
|
3 | 3 | import numpy |
|
|
4 | 4 | import inspect |
|
|
5 | 5 | from figure import Figure, isRealtime, isTimeInHourRange |
|
|
6 | 6 | from plotting_codes import * |
|
|
7 | 7 | |
|
|
8 | 8 | |
|
|
9 | 9 | class FitGauPlot(Figure): |
|
|
10 | 10 | |
|
|
11 | 11 | isConfig = None |
|
|
12 | 12 | __nsubplots = None |
|
|
13 | 13 | |
|
|
14 | 14 | WIDTHPROF = None |
|
|
15 | 15 | HEIGHTPROF = None |
|
|
16 | 16 | PREFIX = 'fitgau' |
|
|
17 | 17 | |
|
|
18 | 18 | def __init__(self, **kwargs): |
|
|
19 | 19 | Figure.__init__(self, **kwargs) |
|
|
20 | 20 | self.isConfig = False |
|
|
21 | 21 | self.__nsubplots = 1 |
|
|
22 | 22 | |
|
|
23 | 23 | self.WIDTH = 250 |
|
|
24 | 24 | self.HEIGHT = 250 |
|
|
25 | 25 | self.WIDTHPROF = 120 |
|
|
26 | 26 | self.HEIGHTPROF = 0 |
|
|
27 | 27 | self.counter_imagwr = 0 |
|
|
28 | 28 | |
|
|
29 | 29 | self.PLOT_CODE = SPEC_CODE |
|
|
30 | 30 | |
|
|
31 | 31 | self.FTP_WEI = None |
|
|
32 | 32 | self.EXP_CODE = None |
|
|
33 | 33 | self.SUB_EXP_CODE = None |
|
|
34 | 34 | self.PLOT_POS = None |
|
|
35 | 35 | |
|
|
36 | 36 | self.__xfilter_ena = False |
|
|
37 | 37 | self.__yfilter_ena = False |
|
|
38 | 38 | |
|
|
39 | 39 | def getSubplots(self): |
|
|
40 | 40 | |
|
|
41 | 41 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
42 | 42 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
43 | 43 | |
|
|
44 | 44 | return nrow, ncol |
|
|
45 | 45 | |
|
|
46 | 46 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
47 | 47 | |
|
|
48 | 48 | self.__showprofile = showprofile |
|
|
49 | 49 | self.nplots = nplots |
|
|
50 | 50 | |
|
|
51 | 51 | ncolspan = 1 |
|
|
52 | 52 | colspan = 1 |
|
|
53 | 53 | if showprofile: |
|
|
54 | 54 | ncolspan = 3 |
|
|
55 | 55 | colspan = 2 |
|
|
56 | 56 | self.__nsubplots = 2 |
|
|
57 | 57 | |
|
|
58 | 58 | self.createFigure(id = id, |
|
|
59 | 59 | wintitle = wintitle, |
|
|
60 | 60 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
61 | 61 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
62 | 62 | show=show) |
|
|
63 | 63 | |
|
|
64 | 64 | nrow, ncol = self.getSubplots() |
|
|
65 | 65 | |
|
|
66 | 66 | counter = 0 |
|
|
67 | 67 | for y in range(nrow): |
|
|
68 | 68 | for x in range(ncol): |
|
|
69 | 69 | |
|
|
70 | 70 | if counter >= self.nplots: |
|
|
71 | 71 | break |
|
|
72 | 72 | |
|
|
73 | 73 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
74 | 74 | |
|
|
75 | 75 | if showprofile: |
|
|
76 | 76 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
77 | 77 | |
|
|
78 | 78 | counter += 1 |
|
|
79 | 79 | |
|
|
80 | 80 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
81 | 81 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
82 | 82 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
83 | 83 | server=None, folder=None, username=None, password=None, |
|
|
84 | 84 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
|
85 |
xaxis="frequency", colormap='jet', normFactor=None , GauSelector = |
|
|
|
85 | xaxis="frequency", colormap='jet', normFactor=None , GauSelector = 0): | |
|
|
86 | 86 | |
|
|
87 | 87 | """ |
|
|
88 | 88 | |
|
|
89 | 89 | Input: |
|
|
90 | 90 | dataOut : |
|
|
91 | 91 | id : |
|
|
92 | 92 | wintitle : |
|
|
93 | 93 | channelList : |
|
|
94 | 94 | showProfile : |
|
|
95 | 95 | xmin : None, |
|
|
96 | 96 | xmax : None, |
|
|
97 | 97 | ymin : None, |
|
|
98 | 98 | ymax : None, |
|
|
99 | 99 | zmin : None, |
|
|
100 | 100 | zmax : None |
|
|
101 | 101 | """ |
|
|
102 | 102 | if realtime: |
|
|
103 | 103 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
|
104 | 104 | print 'Skipping this plot function' |
|
|
105 | 105 | return |
|
|
106 | 106 | |
|
|
107 | 107 | if channelList == None: |
|
|
108 | 108 | channelIndexList = dataOut.channelIndexList |
|
|
109 | 109 | else: |
|
|
110 | 110 | channelIndexList = [] |
|
|
111 | 111 | for channel in channelList: |
|
|
112 | 112 | if channel not in dataOut.channelList: |
|
|
113 | 113 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel |
|
|
114 | 114 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
115 | 115 | |
|
|
116 | 116 | # if normFactor is None: |
|
|
117 | 117 | # factor = dataOut.normFactor |
|
|
118 | 118 | # else: |
|
|
119 | 119 | # factor = normFactor |
|
|
120 | 120 | if xaxis == "frequency": |
|
|
121 | 121 | x = dataOut.spc_range[0] |
|
|
122 | 122 | xlabel = "Frequency (kHz)" |
|
|
123 | 123 | |
|
|
124 | 124 | elif xaxis == "time": |
|
|
125 | 125 | x = dataOut.spc_range[1] |
|
|
126 | 126 | xlabel = "Time (ms)" |
|
|
127 | 127 | |
|
|
128 | else: | |
|
|
128 | else: | |
|
|
129 | 129 | x = dataOut.spc_range[2] |
|
|
130 | 130 | xlabel = "Velocity (m/s)" |
|
|
131 | 131 | |
|
|
132 | 132 | ylabel = "Range (Km)" |
|
|
133 | 133 | |
|
|
134 | 134 | y = dataOut.getHeiRange() |
|
|
135 | 135 | |
|
|
136 | 136 | z = dataOut.GauSPC[:,GauSelector,:,:] #GauSelector] #dataOut.data_spc/factor |
|
|
137 | 137 | print 'GausSPC', z[0,32,10:40] |
|
|
138 | 138 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
139 | 139 | zdB = 10*numpy.log10(z) |
|
|
140 | 140 | |
|
|
141 | 141 | avg = numpy.average(z, axis=1) |
|
|
142 | 142 | avgdB = 10*numpy.log10(avg) |
|
|
143 | 143 | |
|
|
144 | 144 | noise = dataOut.spc_noise |
|
|
145 | 145 | noisedB = 10*numpy.log10(noise) |
|
|
146 | 146 | |
|
|
147 | 147 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
148 | 148 | title = wintitle + " Spectra" |
|
|
149 | 149 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
150 | 150 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
151 | 151 | |
|
|
152 | 152 | if not self.isConfig: |
|
|
153 | 153 | |
|
|
154 | 154 | nplots = len(channelIndexList) |
|
|
155 | 155 | |
|
|
156 | 156 | self.setup(id=id, |
|
|
157 | 157 | nplots=nplots, |
|
|
158 | 158 | wintitle=wintitle, |
|
|
159 | 159 | showprofile=showprofile, |
|
|
160 | 160 | show=show) |
|
|
161 | 161 | |
|
|
162 | 162 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
163 | 163 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
164 | 164 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
165 | 165 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
166 | 166 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
|
167 | 167 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
|
168 | 168 | |
|
|
169 | 169 | self.FTP_WEI = ftp_wei |
|
|
170 | 170 | self.EXP_CODE = exp_code |
|
|
171 | 171 | self.SUB_EXP_CODE = sub_exp_code |
|
|
172 | 172 | self.PLOT_POS = plot_pos |
|
|
173 | 173 | |
|
|
174 | 174 | self.isConfig = True |
|
|
175 | 175 | |
|
|
176 | 176 | self.setWinTitle(title) |
|
|
177 | 177 | |
|
|
178 | 178 | for i in range(self.nplots): |
|
|
179 | 179 | index = channelIndexList[i] |
|
|
180 | 180 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
181 | 181 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) |
|
|
182 | 182 | if len(dataOut.beam.codeList) != 0: |
|
|
183 | 183 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) |
|
|
184 | 184 | |
|
|
185 | 185 | axes = self.axesList[i*self.__nsubplots] |
|
|
186 | 186 | axes.pcolor(x, y, zdB[index,:,:], |
|
|
187 | 187 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
188 | 188 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, |
|
|
189 | 189 | ticksize=9, cblabel='') |
|
|
190 | 190 | |
|
|
191 | 191 | if self.__showprofile: |
|
|
192 | 192 | axes = self.axesList[i*self.__nsubplots +1] |
|
|
193 | 193 | axes.pline(avgdB[index,:], y, |
|
|
194 | 194 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
195 | 195 | xlabel='dB', ylabel='', title='', |
|
|
196 | 196 | ytick_visible=False, |
|
|
197 | 197 | grid='x') |
|
|
198 | 198 | |
|
|
199 | 199 | noiseline = numpy.repeat(noisedB[index], len(y)) |
|
|
200 | 200 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
|
201 | 201 | |
|
|
202 | 202 | self.draw() |
|
|
203 | 203 | |
|
|
204 | 204 | if figfile == None: |
|
|
205 | 205 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
206 | 206 | name = str_datetime |
|
|
207 | 207 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
208 | 208 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
|
209 | 209 | figfile = self.getFilename(name) |
|
|
210 | 210 | |
|
|
211 | 211 | self.save(figpath=figpath, |
|
|
212 | 212 | figfile=figfile, |
|
|
213 | 213 | save=save, |
|
|
214 | 214 | ftp=ftp, |
|
|
215 | 215 | wr_period=wr_period, |
|
|
216 | 216 | thisDatetime=thisDatetime) |
|
|
217 | 217 | |
|
|
218 | 218 | |
|
|
219 | 219 | |
|
|
220 | 220 | class MomentsPlot(Figure): |
|
|
221 | 221 | |
|
|
222 | 222 | isConfig = None |
|
|
223 | 223 | __nsubplots = None |
|
|
224 | 224 | |
|
|
225 | 225 | WIDTHPROF = None |
|
|
226 | 226 | HEIGHTPROF = None |
|
|
227 | 227 | PREFIX = 'prm' |
|
|
228 | 228 | |
|
|
229 | 229 | def __init__(self, **kwargs): |
|
|
230 | 230 | Figure.__init__(self, **kwargs) |
|
|
231 | 231 | self.isConfig = False |
|
|
232 | 232 | self.__nsubplots = 1 |
|
|
233 | 233 | |
|
|
234 | 234 | self.WIDTH = 280 |
|
|
235 | 235 | self.HEIGHT = 250 |
|
|
236 | 236 | self.WIDTHPROF = 120 |
|
|
237 | 237 | self.HEIGHTPROF = 0 |
|
|
238 | 238 | self.counter_imagwr = 0 |
|
|
239 | 239 | |
|
|
240 | 240 | self.PLOT_CODE = MOMENTS_CODE |
|
|
241 | 241 | |
|
|
242 | 242 | self.FTP_WEI = None |
|
|
243 | 243 | self.EXP_CODE = None |
|
|
244 | 244 | self.SUB_EXP_CODE = None |
|
|
245 | 245 | self.PLOT_POS = None |
|
|
246 | 246 | |
|
|
247 | 247 | def getSubplots(self): |
|
|
248 | 248 | |
|
|
249 | 249 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
250 | 250 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
251 | 251 | |
|
|
252 | 252 | return nrow, ncol |
|
|
253 | 253 | |
|
|
254 | 254 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
255 | 255 | |
|
|
256 | 256 | self.__showprofile = showprofile |
|
|
257 | 257 | self.nplots = nplots |
|
|
258 | 258 | |
|
|
259 | 259 | ncolspan = 1 |
|
|
260 | 260 | colspan = 1 |
|
|
261 | 261 | if showprofile: |
|
|
262 | 262 | ncolspan = 3 |
|
|
263 | 263 | colspan = 2 |
|
|
264 | 264 | self.__nsubplots = 2 |
|
|
265 | 265 | |
|
|
266 | 266 | self.createFigure(id = id, |
|
|
267 | 267 | wintitle = wintitle, |
|
|
268 | 268 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
269 | 269 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
270 | 270 | show=show) |
|
|
271 | 271 | |
|
|
272 | 272 | nrow, ncol = self.getSubplots() |
|
|
273 | 273 | |
|
|
274 | 274 | counter = 0 |
|
|
275 | 275 | for y in range(nrow): |
|
|
276 | 276 | for x in range(ncol): |
|
|
277 | 277 | |
|
|
278 | 278 | if counter >= self.nplots: |
|
|
279 | 279 | break |
|
|
280 | 280 | |
|
|
281 | 281 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
282 | 282 | |
|
|
283 | 283 | if showprofile: |
|
|
284 | 284 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
285 | 285 | |
|
|
286 | 286 | counter += 1 |
|
|
287 | 287 | |
|
|
288 | 288 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
289 | 289 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
290 | 290 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
291 | 291 | server=None, folder=None, username=None, password=None, |
|
|
292 | 292 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): |
|
|
293 | 293 | |
|
|
294 | 294 | """ |
|
|
295 | 295 | |
|
|
296 | 296 | Input: |
|
|
297 | 297 | dataOut : |
|
|
298 | 298 | id : |
|
|
299 | 299 | wintitle : |
|
|
300 | 300 | channelList : |
|
|
301 | 301 | showProfile : |
|
|
302 | 302 | xmin : None, |
|
|
303 | 303 | xmax : None, |
|
|
304 | 304 | ymin : None, |
|
|
305 | 305 | ymax : None, |
|
|
306 | 306 | zmin : None, |
|
|
307 | 307 | zmax : None |
|
|
308 | 308 | """ |
|
|
309 | 309 | |
|
|
310 | 310 | if dataOut.flagNoData: |
|
|
311 | 311 | return None |
|
|
312 | 312 | |
|
|
313 | 313 | if realtime: |
|
|
314 | 314 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
|
315 | 315 | print 'Skipping this plot function' |
|
|
316 | 316 | return |
|
|
317 | 317 | |
|
|
318 | 318 | if channelList == None: |
|
|
319 | 319 | channelIndexList = dataOut.channelIndexList |
|
|
320 | 320 | else: |
|
|
321 | 321 | channelIndexList = [] |
|
|
322 | 322 | for channel in channelList: |
|
|
323 | 323 | if channel not in dataOut.channelList: |
|
|
324 | 324 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
325 | 325 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
326 | 326 | |
|
|
327 | 327 | factor = dataOut.normFactor |
|
|
328 | 328 | x = dataOut.abscissaList |
|
|
329 | 329 | y = dataOut.heightList |
|
|
330 | 330 | |
|
|
331 | 331 | z = dataOut.data_pre[channelIndexList,:,:]/factor |
|
|
332 | 332 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
333 | 333 | avg = numpy.average(z, axis=1) |
|
|
334 | 334 | noise = dataOut.noise/factor |
|
|
335 | 335 | |
|
|
336 | 336 | zdB = 10*numpy.log10(z) |
|
|
337 | 337 | avgdB = 10*numpy.log10(avg) |
|
|
338 | 338 | noisedB = 10*numpy.log10(noise) |
|
|
339 | 339 | |
|
|
340 | 340 | #thisDatetime = dataOut.datatime |
|
|
341 | 341 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
342 | 342 | title = wintitle + " Parameters" |
|
|
343 | 343 | xlabel = "Velocity (m/s)" |
|
|
344 | 344 | ylabel = "Range (Km)" |
|
|
345 | 345 | |
|
|
346 | 346 | update_figfile = False |
|
|
347 | 347 | |
|
|
348 | 348 | if not self.isConfig: |
|
|
349 | 349 | |
|
|
350 | 350 | nplots = len(channelIndexList) |
|
|
351 | 351 | |
|
|
352 | 352 | self.setup(id=id, |
|
|
353 | 353 | nplots=nplots, |
|
|
354 | 354 | wintitle=wintitle, |
|
|
355 | 355 | showprofile=showprofile, |
|
|
356 | 356 | show=show) |
|
|
357 | 357 | |
|
|
358 | 358 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
359 | 359 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
360 | 360 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
361 | 361 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
362 | 362 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 |
|
|
363 | 363 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 |
|
|
364 | 364 | |
|
|
365 | 365 | self.FTP_WEI = ftp_wei |
|
|
366 | 366 | self.EXP_CODE = exp_code |
|
|
367 | 367 | self.SUB_EXP_CODE = sub_exp_code |
|
|
368 | 368 | self.PLOT_POS = plot_pos |
|
|
369 | 369 | |
|
|
370 | 370 | self.isConfig = True |
|
|
371 | 371 | update_figfile = True |
|
|
372 | 372 | |
|
|
373 | 373 | self.setWinTitle(title) |
|
|
374 | 374 | |
|
|
375 | 375 | for i in range(self.nplots): |
|
|
376 | 376 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
377 | 377 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime) |
|
|
378 | 378 | axes = self.axesList[i*self.__nsubplots] |
|
|
379 | 379 | axes.pcolor(x, y, zdB[i,:,:], |
|
|
380 | 380 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
381 | 381 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
382 | 382 | ticksize=9, cblabel='') |
|
|
383 | 383 | #Mean Line |
|
|
384 | 384 | mean = dataOut.data_param[i, 1, :] |
|
|
385 | 385 | axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1) |
|
|
386 | 386 | |
|
|
387 | 387 | if self.__showprofile: |
|
|
388 | 388 | axes = self.axesList[i*self.__nsubplots +1] |
|
|
389 | 389 | axes.pline(avgdB[i], y, |
|
|
390 | 390 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
391 | 391 | xlabel='dB', ylabel='', title='', |
|
|
392 | 392 | ytick_visible=False, |
|
|
393 | 393 | grid='x') |
|
|
394 | 394 | |
|
|
395 | 395 | noiseline = numpy.repeat(noisedB[i], len(y)) |
|
|
396 | 396 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
|
397 | 397 | |
|
|
398 | 398 | self.draw() |
|
|
399 | 399 | |
|
|
400 | 400 | self.save(figpath=figpath, |
|
|
401 | 401 | figfile=figfile, |
|
|
402 | 402 | save=save, |
|
|
403 | 403 | ftp=ftp, |
|
|
404 | 404 | wr_period=wr_period, |
|
|
405 | 405 | thisDatetime=thisDatetime) |
|
|
406 | 406 | |
|
|
407 | 407 | |
|
|
408 | 408 | |
|
|
409 | 409 | class SkyMapPlot(Figure): |
|
|
410 | 410 | |
|
|
411 | 411 | __isConfig = None |
|
|
412 | 412 | __nsubplots = None |
|
|
413 | 413 | |
|
|
414 | 414 | WIDTHPROF = None |
|
|
415 | 415 | HEIGHTPROF = None |
|
|
416 | 416 | PREFIX = 'mmap' |
|
|
417 | 417 | |
|
|
418 | 418 | def __init__(self, **kwargs): |
|
|
419 | 419 | Figure.__init__(self, **kwargs) |
|
|
420 | 420 | self.isConfig = False |
|
|
421 | 421 | self.__nsubplots = 1 |
|
|
422 | 422 | |
|
|
423 | 423 | # self.WIDTH = 280 |
|
|
424 | 424 | # self.HEIGHT = 250 |
|
|
425 | 425 | self.WIDTH = 600 |
|
|
426 | 426 | self.HEIGHT = 600 |
|
|
427 | 427 | self.WIDTHPROF = 120 |
|
|
428 | 428 | self.HEIGHTPROF = 0 |
|
|
429 | 429 | self.counter_imagwr = 0 |
|
|
430 | 430 | |
|
|
431 | 431 | self.PLOT_CODE = MSKYMAP_CODE |
|
|
432 | 432 | |
|
|
433 | 433 | self.FTP_WEI = None |
|
|
434 | 434 | self.EXP_CODE = None |
|
|
435 | 435 | self.SUB_EXP_CODE = None |
|
|
436 | 436 | self.PLOT_POS = None |
|
|
437 | 437 | |
|
|
438 | 438 | def getSubplots(self): |
|
|
439 | 439 | |
|
|
440 | 440 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
441 | 441 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
442 | 442 | |
|
|
443 | 443 | return nrow, ncol |
|
|
444 | 444 | |
|
|
445 | 445 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): |
|
|
446 | 446 | |
|
|
447 | 447 | self.__showprofile = showprofile |
|
|
448 | 448 | self.nplots = nplots |
|
|
449 | 449 | |
|
|
450 | 450 | ncolspan = 1 |
|
|
451 | 451 | colspan = 1 |
|
|
452 | 452 | |
|
|
453 | 453 | self.createFigure(id = id, |
|
|
454 | 454 | wintitle = wintitle, |
|
|
455 | 455 | widthplot = self.WIDTH, #+ self.WIDTHPROF, |
|
|
456 | 456 | heightplot = self.HEIGHT,# + self.HEIGHTPROF, |
|
|
457 | 457 | show=show) |
|
|
458 | 458 | |
|
|
459 | 459 | nrow, ncol = 1,1 |
|
|
460 | 460 | counter = 0 |
|
|
461 | 461 | x = 0 |
|
|
462 | 462 | y = 0 |
|
|
463 | 463 | self.addAxes(1, 1, 0, 0, 1, 1, True) |
|
|
464 | 464 | |
|
|
465 | 465 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, |
|
|
466 | 466 | tmin=0, tmax=24, timerange=None, |
|
|
467 | 467 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
468 | 468 | server=None, folder=None, username=None, password=None, |
|
|
469 | 469 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): |
|
|
470 | 470 | |
|
|
471 | 471 | """ |
|
|
472 | 472 | |
|
|
473 | 473 | Input: |
|
|
474 | 474 | dataOut : |
|
|
475 | 475 | id : |
|
|
476 | 476 | wintitle : |
|
|
477 | 477 | channelList : |
|
|
478 | 478 | showProfile : |
|
|
479 | 479 | xmin : None, |
|
|
480 | 480 | xmax : None, |
|
|
481 | 481 | ymin : None, |
|
|
482 | 482 | ymax : None, |
|
|
483 | 483 | zmin : None, |
|
|
484 | 484 | zmax : None |
|
|
485 | 485 | """ |
|
|
486 | 486 | |
|
|
487 | 487 | arrayParameters = dataOut.data_param |
|
|
488 | 488 | error = arrayParameters[:,-1] |
|
|
489 | 489 | indValid = numpy.where(error == 0)[0] |
|
|
490 | 490 | finalMeteor = arrayParameters[indValid,:] |
|
|
491 | 491 | finalAzimuth = finalMeteor[:,3] |
|
|
492 | 492 | finalZenith = finalMeteor[:,4] |
|
|
493 | 493 | |
|
|
494 | 494 | x = finalAzimuth*numpy.pi/180 |
|
|
495 | 495 | y = finalZenith |
|
|
496 | 496 | x1 = [dataOut.ltctime, dataOut.ltctime] |
|
|
497 | 497 | |
|
|
498 | 498 | #thisDatetime = dataOut.datatime |
|
|
499 | 499 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
500 | 500 | title = wintitle + " Parameters" |
|
|
501 | 501 | xlabel = "Zonal Zenith Angle (deg) " |
|
|
502 | 502 | ylabel = "Meridional Zenith Angle (deg)" |
|
|
503 | 503 | update_figfile = False |
|
|
504 | 504 | |
|
|
505 | 505 | if not self.isConfig: |
|
|
506 | 506 | |
|
|
507 | 507 | nplots = 1 |
|
|
508 | 508 | |
|
|
509 | 509 | self.setup(id=id, |
|
|
510 | 510 | nplots=nplots, |
|
|
511 | 511 | wintitle=wintitle, |
|
|
512 | 512 | showprofile=showprofile, |
|
|
513 | 513 | show=show) |
|
|
514 | 514 | |
|
|
515 | 515 | if self.xmin is None and self.xmax is None: |
|
|
516 | 516 | self.xmin, self.xmax = self.getTimeLim(x1, tmin, tmax, timerange) |
|
|
517 | 517 | |
|
|
518 | 518 | if timerange != None: |
|
|
519 | 519 | self.timerange = timerange |
|
|
520 | 520 | else: |
|
|
521 | 521 | self.timerange = self.xmax - self.xmin |
|
|
522 | 522 | |
|
|
523 | 523 | self.FTP_WEI = ftp_wei |
|
|
524 | 524 | self.EXP_CODE = exp_code |
|
|
525 | 525 | self.SUB_EXP_CODE = sub_exp_code |
|
|
526 | 526 | self.PLOT_POS = plot_pos |
|
|
527 | 527 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
528 | 528 | self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
529 | 529 | self.isConfig = True |
|
|
530 | 530 | update_figfile = True |
|
|
531 | 531 | |
|
|
532 | 532 | self.setWinTitle(title) |
|
|
533 | 533 | |
|
|
534 | 534 | i = 0 |
|
|
535 | 535 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
536 | 536 | |
|
|
537 | 537 | axes = self.axesList[i*self.__nsubplots] |
|
|
538 | 538 | nevents = axes.x_buffer.shape[0] + x.shape[0] |
|
|
539 | 539 | title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents) |
|
|
540 | 540 | axes.polar(x, y, |
|
|
541 | 541 | title=title, xlabel=xlabel, ylabel=ylabel, |
|
|
542 | 542 | ticksize=9, cblabel='') |
|
|
543 | 543 | |
|
|
544 | 544 | self.draw() |
|
|
545 | 545 | |
|
|
546 | 546 | self.save(figpath=figpath, |
|
|
547 | 547 | figfile=figfile, |
|
|
548 | 548 | save=save, |
|
|
549 | 549 | ftp=ftp, |
|
|
550 | 550 | wr_period=wr_period, |
|
|
551 | 551 | thisDatetime=thisDatetime, |
|
|
552 | 552 | update_figfile=update_figfile) |
|
|
553 | 553 | |
|
|
554 | 554 | if dataOut.ltctime >= self.xmax: |
|
|
555 | 555 | self.isConfigmagwr = wr_period |
|
|
556 | 556 | self.isConfig = False |
|
|
557 | 557 | update_figfile = True |
|
|
558 | 558 | axes.__firsttime = True |
|
|
559 | 559 | self.xmin += self.timerange |
|
|
560 | 560 | self.xmax += self.timerange |
|
|
561 | 561 | |
|
|
562 | 562 | |
|
|
563 | 563 | |
|
|
564 | 564 | |
|
|
565 | 565 | class WindProfilerPlot(Figure): |
|
|
566 | 566 | |
|
|
567 | 567 | __isConfig = None |
|
|
568 | 568 | __nsubplots = None |
|
|
569 | 569 | |
|
|
570 | 570 | WIDTHPROF = None |
|
|
571 | 571 | HEIGHTPROF = None |
|
|
572 | 572 | PREFIX = 'wind' |
|
|
573 | 573 | |
|
|
574 | 574 | def __init__(self, **kwargs): |
|
|
575 | 575 | Figure.__init__(self, **kwargs) |
|
|
576 | 576 | self.timerange = None |
|
|
577 | 577 | self.isConfig = False |
|
|
578 | 578 | self.__nsubplots = 1 |
|
|
579 | 579 | |
|
|
580 | 580 | self.WIDTH = 800 |
|
|
581 | 581 | self.HEIGHT = 300 |
|
|
582 | 582 | self.WIDTHPROF = 120 |
|
|
583 | 583 | self.HEIGHTPROF = 0 |
|
|
584 | 584 | self.counter_imagwr = 0 |
|
|
585 | 585 | |
|
|
586 | 586 | self.PLOT_CODE = WIND_CODE |
|
|
587 | 587 | |
|
|
588 | 588 | self.FTP_WEI = None |
|
|
589 | 589 | self.EXP_CODE = None |
|
|
590 | 590 | self.SUB_EXP_CODE = None |
|
|
591 | 591 | self.PLOT_POS = None |
|
|
592 | 592 | self.tmin = None |
|
|
593 | 593 | self.tmax = None |
|
|
594 | 594 | |
|
|
595 | 595 | self.xmin = None |
|
|
596 | 596 | self.xmax = None |
|
|
597 | 597 | |
|
|
598 | 598 | self.figfile = None |
|
|
599 | 599 | |
|
|
600 | 600 | def getSubplots(self): |
|
|
601 | 601 | |
|
|
602 | 602 | ncol = 1 |
|
|
603 | 603 | nrow = self.nplots |
|
|
604 | 604 | |
|
|
605 | 605 | return nrow, ncol |
|
|
606 | 606 | |
|
|
607 | 607 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
608 | 608 | |
|
|
609 | 609 | self.__showprofile = showprofile |
|
|
610 | 610 | self.nplots = nplots |
|
|
611 | 611 | |
|
|
612 | 612 | ncolspan = 1 |
|
|
613 | 613 | colspan = 1 |
|
|
614 | 614 | |
|
|
615 | 615 | self.createFigure(id = id, |
|
|
616 | 616 | wintitle = wintitle, |
|
|
617 | 617 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
618 | 618 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
619 | 619 | show=show) |
|
|
620 | 620 | |
|
|
621 | 621 | nrow, ncol = self.getSubplots() |
|
|
622 | 622 | |
|
|
623 | 623 | counter = 0 |
|
|
624 | 624 | for y in range(nrow): |
|
|
625 | 625 | if counter >= self.nplots: |
|
|
626 | 626 | break |
|
|
627 | 627 | |
|
|
628 | 628 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) |
|
|
629 | 629 | counter += 1 |
|
|
630 | 630 | |
|
|
631 | 631 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False', |
|
|
632 | 632 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
633 | 633 | zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None, |
|
|
634 | 634 | timerange=None, SNRthresh = None, |
|
|
635 | 635 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
636 | 636 | server=None, folder=None, username=None, password=None, |
|
|
637 | 637 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
638 | 638 | """ |
|
|
639 | 639 | |
|
|
640 | 640 | Input: |
|
|
641 | 641 | dataOut : |
|
|
642 | 642 | id : |
|
|
643 | 643 | wintitle : |
|
|
644 | 644 | channelList : |
|
|
645 | 645 | showProfile : |
|
|
646 | 646 | xmin : None, |
|
|
647 | 647 | xmax : None, |
|
|
648 | 648 | ymin : None, |
|
|
649 | 649 | ymax : None, |
|
|
650 | 650 | zmin : None, |
|
|
651 | 651 | zmax : None |
|
|
652 | 652 | """ |
|
|
653 | 653 | |
|
|
654 | 654 | # if timerange is not None: |
|
|
655 | 655 | # self.timerange = timerange |
|
|
656 | 656 | # |
|
|
657 | 657 | # tmin = None |
|
|
658 | 658 | # tmax = None |
|
|
659 | 659 | |
|
|
660 | 660 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
|
661 | 661 | y = dataOut.heightList |
|
|
662 | 662 | z = dataOut.data_output.copy() |
|
|
663 | 663 | nplots = z.shape[0] #Number of wind dimensions estimated |
|
|
664 | 664 | nplotsw = nplots |
|
|
665 | 665 | |
|
|
666 | 666 | |
|
|
667 | 667 | #If there is a SNR function defined |
|
|
668 | 668 | if dataOut.data_SNR is not None: |
|
|
669 | 669 | nplots += 1 |
|
|
670 | SNR = dataOut.data_SNR | |
|
|
671 |
SNRavg = |
|
|
|
670 | SNR = dataOut.data_SNR[0] | |
|
|
671 | SNRavg = SNR#numpy.average(SNR, axis=0) | |
|
|
672 | 672 | |
|
|
673 | 673 | SNRdB = 10*numpy.log10(SNR) |
|
|
674 | 674 | SNRavgdB = 10*numpy.log10(SNRavg) |
|
|
675 | 675 | |
|
|
676 |
if SNRthresh == None: |
|
|
|
676 | if SNRthresh == None: | |
|
|
677 | SNRthresh = -5.0 | |
|
|
677 | 678 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] |
|
|
678 | 679 | |
|
|
679 | 680 | for i in range(nplotsw): |
|
|
680 | 681 | z[i,ind] = numpy.nan |
|
|
681 | 682 | |
|
|
682 | 683 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
683 | 684 | #thisDatetime = datetime.datetime.now() |
|
|
684 | 685 | title = wintitle + "Wind" |
|
|
685 | 686 | xlabel = "" |
|
|
686 | 687 | ylabel = "Height (km)" |
|
|
687 | 688 | update_figfile = False |
|
|
688 | 689 | |
|
|
689 | 690 | if not self.isConfig: |
|
|
690 | 691 | |
|
|
691 | 692 | self.setup(id=id, |
|
|
692 | 693 | nplots=nplots, |
|
|
693 | 694 | wintitle=wintitle, |
|
|
694 | 695 | showprofile=showprofile, |
|
|
695 | 696 | show=show) |
|
|
696 | 697 | |
|
|
697 | 698 | if timerange is not None: |
|
|
698 | 699 | self.timerange = timerange |
|
|
699 | 700 | |
|
|
700 | 701 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
701 | 702 | |
|
|
702 | 703 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
703 | 704 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
704 | 705 | |
|
|
705 | 706 | if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:])) |
|
|
706 | 707 | #if numpy.isnan(zmax): zmax = 50 |
|
|
707 | 708 | if zmin == None: zmin = -zmax |
|
|
708 | 709 | |
|
|
709 | 710 | if nplotsw == 3: |
|
|
710 | 711 | if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:])) |
|
|
711 | 712 | if zmin_ver == None: zmin_ver = -zmax_ver |
|
|
712 | 713 | |
|
|
713 | 714 | if dataOut.data_SNR is not None: |
|
|
714 | 715 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) |
|
|
715 | 716 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) |
|
|
716 | 717 | |
|
|
717 | 718 | |
|
|
718 | 719 | self.FTP_WEI = ftp_wei |
|
|
719 | 720 | self.EXP_CODE = exp_code |
|
|
720 | 721 | self.SUB_EXP_CODE = sub_exp_code |
|
|
721 | 722 | self.PLOT_POS = plot_pos |
|
|
722 | 723 | |
|
|
723 | 724 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
724 | 725 | self.isConfig = True |
|
|
725 | 726 | self.figfile = figfile |
|
|
726 | 727 | update_figfile = True |
|
|
727 | 728 | |
|
|
728 | 729 | self.setWinTitle(title) |
|
|
729 | 730 | |
|
|
730 | 731 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
|
731 | 732 | x[1] = self.xmax |
|
|
732 | 733 | |
|
|
733 | 734 | strWind = ['Zonal', 'Meridional', 'Vertical'] |
|
|
734 | 735 | strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)'] |
|
|
735 | 736 | zmaxVector = [zmax, zmax, zmax_ver] |
|
|
736 | 737 | zminVector = [zmin, zmin, zmin_ver] |
|
|
737 | 738 | windFactor = [1,1,100] |
|
|
738 | 739 | |
|
|
739 | 740 | for i in range(nplotsw): |
|
|
740 | 741 | |
|
|
741 | 742 | title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
742 | 743 | axes = self.axesList[i*self.__nsubplots] |
|
|
743 | 744 | |
|
|
744 | 745 | z1 = z[i,:].reshape((1,-1))*windFactor[i] |
|
|
745 | 746 | #z1=numpy.ma.masked_where(z1==0.,z1) |
|
|
746 | 747 | |
|
|
747 | 748 | axes.pcolorbuffer(x, y, z1, |
|
|
748 | 749 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], |
|
|
749 | 750 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
750 | 751 | ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="seismic" ) |
|
|
751 | 752 | |
|
|
752 | 753 | if dataOut.data_SNR is not None: |
|
|
753 | 754 | i += 1 |
|
|
754 | 755 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
755 | 756 | axes = self.axesList[i*self.__nsubplots] |
|
|
756 | 757 | SNRavgdB = SNRavgdB.reshape((1,-1)) |
|
|
757 | 758 | axes.pcolorbuffer(x, y, SNRavgdB, |
|
|
758 | 759 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
|
759 | 760 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
760 | 761 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") |
|
|
761 | 762 | |
|
|
762 | 763 | self.draw() |
|
|
763 | 764 | |
|
|
764 | 765 | self.save(figpath=figpath, |
|
|
765 | 766 | figfile=figfile, |
|
|
766 | 767 | save=save, |
|
|
767 | 768 | ftp=ftp, |
|
|
768 | 769 | wr_period=wr_period, |
|
|
769 | 770 | thisDatetime=thisDatetime, |
|
|
770 | 771 | update_figfile=update_figfile) |
|
|
771 | 772 | |
|
|
772 | 773 | if dataOut.ltctime + dataOut.paramInterval >= self.xmax: |
|
|
773 | 774 | self.counter_imagwr = wr_period |
|
|
774 | 775 | self.isConfig = False |
|
|
775 | 776 | update_figfile = True |
|
|
776 | 777 | |
|
|
777 | 778 | |
|
|
778 | 779 | class ParametersPlot(Figure): |
|
|
779 | 780 | |
|
|
780 | 781 | __isConfig = None |
|
|
781 | 782 | __nsubplots = None |
|
|
782 | 783 | |
|
|
783 | 784 | WIDTHPROF = None |
|
|
784 | 785 | HEIGHTPROF = None |
|
|
785 | 786 | PREFIX = 'param' |
|
|
786 | 787 | |
|
|
787 | 788 | nplots = None |
|
|
788 | 789 | nchan = None |
|
|
789 | 790 | |
|
|
790 | 791 | def __init__(self, **kwargs): |
|
|
791 | 792 | Figure.__init__(self, **kwargs) |
|
|
792 | 793 | self.timerange = None |
|
|
793 | 794 | self.isConfig = False |
|
|
794 | 795 | self.__nsubplots = 1 |
|
|
795 | 796 | |
|
|
796 | 797 | self.WIDTH = 800 |
|
|
797 | 798 | self.HEIGHT = 180 |
|
|
798 | 799 | self.WIDTHPROF = 120 |
|
|
799 | 800 | self.HEIGHTPROF = 0 |
|
|
800 | 801 | self.counter_imagwr = 0 |
|
|
801 | 802 | |
|
|
802 | 803 | self.PLOT_CODE = RTI_CODE |
|
|
803 | 804 | |
|
|
804 | 805 | self.FTP_WEI = None |
|
|
805 | 806 | self.EXP_CODE = None |
|
|
806 | 807 | self.SUB_EXP_CODE = None |
|
|
807 | 808 | self.PLOT_POS = None |
|
|
808 | 809 | self.tmin = None |
|
|
809 | 810 | self.tmax = None |
|
|
810 | 811 | |
|
|
811 | 812 | self.xmin = None |
|
|
812 | 813 | self.xmax = None |
|
|
813 | 814 | |
|
|
814 | 815 | self.figfile = None |
|
|
815 | 816 | |
|
|
816 | 817 | def getSubplots(self): |
|
|
817 | 818 | |
|
|
818 | 819 | ncol = 1 |
|
|
819 | 820 | nrow = self.nplots |
|
|
820 | 821 | |
|
|
821 | 822 | return nrow, ncol |
|
|
822 | 823 | |
|
|
823 | 824 | def setup(self, id, nplots, wintitle, show=True): |
|
|
824 | 825 | |
|
|
825 | 826 | self.nplots = nplots |
|
|
826 | 827 | |
|
|
827 | 828 | ncolspan = 1 |
|
|
828 | 829 | colspan = 1 |
|
|
829 | 830 | |
|
|
830 | 831 | self.createFigure(id = id, |
|
|
831 | 832 | wintitle = wintitle, |
|
|
832 | 833 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
833 | 834 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
834 | 835 | show=show) |
|
|
835 | 836 | |
|
|
836 | 837 | nrow, ncol = self.getSubplots() |
|
|
837 | 838 | |
|
|
838 | 839 | counter = 0 |
|
|
839 | 840 | for y in range(nrow): |
|
|
840 | 841 | for x in range(ncol): |
|
|
841 | 842 | |
|
|
842 | 843 | if counter >= self.nplots: |
|
|
843 | 844 | break |
|
|
844 | 845 | |
|
|
845 | 846 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
846 | 847 | |
|
|
847 | 848 | counter += 1 |
|
|
848 | 849 | |
|
|
849 | 850 | def run(self, dataOut, id, wintitle="", channelList=None, paramIndex = 0, colormap="jet", |
|
|
850 | 851 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, timerange=None, |
|
|
851 | 852 | showSNR=False, SNRthresh = -numpy.inf, SNRmin=None, SNRmax=None, |
|
|
852 | 853 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
853 | 854 | server=None, folder=None, username=None, password=None, |
|
|
854 | 855 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, HEIGHT=None): |
|
|
855 | 856 | """ |
|
|
856 | 857 | |
|
|
857 | 858 | Input: |
|
|
858 | 859 | dataOut : |
|
|
859 | 860 | id : |
|
|
860 | 861 | wintitle : |
|
|
861 | 862 | channelList : |
|
|
862 | 863 | showProfile : |
|
|
863 | 864 | xmin : None, |
|
|
864 | 865 | xmax : None, |
|
|
865 | 866 | ymin : None, |
|
|
866 | 867 | ymax : None, |
|
|
867 | 868 | zmin : None, |
|
|
868 | 869 | zmax : None |
|
|
869 | 870 | """ |
|
|
870 | 871 | |
|
|
871 | 872 | if HEIGHT is not None: |
|
|
872 | 873 | self.HEIGHT = HEIGHT |
|
|
873 | 874 | |
|
|
874 | 875 | |
|
|
875 | 876 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
876 | 877 | return |
|
|
877 | 878 | |
|
|
878 | 879 | if channelList == None: |
|
|
879 | 880 | channelIndexList = range(dataOut.data_param.shape[0]) |
|
|
880 | 881 | else: |
|
|
881 | 882 | channelIndexList = [] |
|
|
882 | 883 | for channel in channelList: |
|
|
883 | 884 | if channel not in dataOut.channelList: |
|
|
884 | 885 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
885 | 886 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
886 | 887 | |
|
|
887 | 888 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
|
888 | 889 | y = dataOut.getHeiRange() |
|
|
889 | 890 | |
|
|
890 | 891 | if dataOut.data_param.ndim == 3: |
|
|
891 | 892 | z = dataOut.data_param[channelIndexList,paramIndex,:] |
|
|
892 | 893 | else: |
|
|
893 | 894 | z = dataOut.data_param[channelIndexList,:] |
|
|
894 | 895 | |
|
|
895 | 896 | if showSNR: |
|
|
896 | 897 | #SNR data |
|
|
897 | 898 | SNRarray = dataOut.data_SNR[channelIndexList,:] |
|
|
898 | 899 | SNRdB = 10*numpy.log10(SNRarray) |
|
|
899 | 900 | ind = numpy.where(SNRdB < SNRthresh) |
|
|
900 | 901 | z[ind] = numpy.nan |
|
|
901 | 902 | |
|
|
902 | 903 | thisDatetime = dataOut.datatime |
|
|
903 | 904 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
904 | 905 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
905 | 906 | xlabel = "" |
|
|
906 | 907 | ylabel = "Range (Km)" |
|
|
907 | 908 | |
|
|
908 | 909 | update_figfile = False |
|
|
909 | 910 | |
|
|
910 | 911 | if not self.isConfig: |
|
|
911 | 912 | |
|
|
912 | 913 | nchan = len(channelIndexList) |
|
|
913 | 914 | self.nchan = nchan |
|
|
914 | 915 | self.plotFact = 1 |
|
|
915 | 916 | nplots = nchan |
|
|
916 | 917 | |
|
|
917 | 918 | if showSNR: |
|
|
918 | 919 | nplots = nchan*2 |
|
|
919 | 920 | self.plotFact = 2 |
|
|
920 | 921 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) |
|
|
921 | 922 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) |
|
|
922 | 923 | |
|
|
923 | 924 | self.setup(id=id, |
|
|
924 | 925 | nplots=nplots, |
|
|
925 | 926 | wintitle=wintitle, |
|
|
926 | 927 | show=show) |
|
|
927 | 928 | |
|
|
928 | 929 | if timerange != None: |
|
|
929 | 930 | self.timerange = timerange |
|
|
930 | 931 | |
|
|
931 | 932 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
932 | 933 | |
|
|
933 | 934 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
934 | 935 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
935 | 936 | if zmin == None: zmin = numpy.nanmin(z) |
|
|
936 | 937 | if zmax == None: zmax = numpy.nanmax(z) |
|
|
937 | 938 | |
|
|
938 | 939 | self.FTP_WEI = ftp_wei |
|
|
939 | 940 | self.EXP_CODE = exp_code |
|
|
940 | 941 | self.SUB_EXP_CODE = sub_exp_code |
|
|
941 | 942 | self.PLOT_POS = plot_pos |
|
|
942 | 943 | |
|
|
943 | 944 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
944 | 945 | self.isConfig = True |
|
|
945 | 946 | self.figfile = figfile |
|
|
946 | 947 | update_figfile = True |
|
|
947 | 948 | |
|
|
948 | 949 | self.setWinTitle(title) |
|
|
949 | 950 | |
|
|
950 | 951 | for i in range(self.nchan): |
|
|
951 | 952 | index = channelIndexList[i] |
|
|
952 | 953 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
953 | 954 | axes = self.axesList[i*self.plotFact] |
|
|
954 | 955 | z1 = z[i,:].reshape((1,-1)) |
|
|
955 | 956 | axes.pcolorbuffer(x, y, z1, |
|
|
956 | 957 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
957 | 958 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
958 | 959 | ticksize=9, cblabel='', cbsize="1%",colormap=colormap) |
|
|
959 | 960 | |
|
|
960 | 961 | if showSNR: |
|
|
961 | 962 | title = "Channel %d SNR: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
962 | 963 | axes = self.axesList[i*self.plotFact + 1] |
|
|
963 | 964 | SNRdB1 = SNRdB[i,:].reshape((1,-1)) |
|
|
964 | 965 | axes.pcolorbuffer(x, y, SNRdB1, |
|
|
965 | 966 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
|
966 | 967 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
967 | 968 | ticksize=9, cblabel='', cbsize="1%",colormap='jet') |
|
|
968 | 969 | |
|
|
969 | 970 | |
|
|
970 | 971 | self.draw() |
|
|
971 | 972 | |
|
|
972 | 973 | if dataOut.ltctime >= self.xmax: |
|
|
973 | 974 | self.counter_imagwr = wr_period |
|
|
974 | 975 | self.isConfig = False |
|
|
975 | 976 | update_figfile = True |
|
|
976 | 977 | |
|
|
977 | 978 | self.save(figpath=figpath, |
|
|
978 | 979 | figfile=figfile, |
|
|
979 | 980 | save=save, |
|
|
980 | 981 | ftp=ftp, |
|
|
981 | 982 | wr_period=wr_period, |
|
|
982 | 983 | thisDatetime=thisDatetime, |
|
|
983 | 984 | update_figfile=update_figfile) |
|
|
984 | 985 | |
|
|
985 | 986 | |
|
|
986 | 987 | |
|
|
987 | 988 | class Parameters1Plot(Figure): |
|
|
988 | 989 | |
|
|
989 | 990 | __isConfig = None |
|
|
990 | 991 | __nsubplots = None |
|
|
991 | 992 | |
|
|
992 | 993 | WIDTHPROF = None |
|
|
993 | 994 | HEIGHTPROF = None |
|
|
994 | 995 | PREFIX = 'prm' |
|
|
995 | 996 | |
|
|
996 | 997 | def __init__(self, **kwargs): |
|
|
997 | 998 | Figure.__init__(self, **kwargs) |
|
|
998 | 999 | self.timerange = 2*60*60 |
|
|
999 | 1000 | self.isConfig = False |
|
|
1000 | 1001 | self.__nsubplots = 1 |
|
|
1001 | 1002 | |
|
|
1002 | 1003 | self.WIDTH = 800 |
|
|
1003 | 1004 | self.HEIGHT = 180 |
|
|
1004 | 1005 | self.WIDTHPROF = 120 |
|
|
1005 | 1006 | self.HEIGHTPROF = 0 |
|
|
1006 | 1007 | self.counter_imagwr = 0 |
|
|
1007 | 1008 | |
|
|
1008 | 1009 | self.PLOT_CODE = PARMS_CODE |
|
|
1009 | 1010 | |
|
|
1010 | 1011 | self.FTP_WEI = None |
|
|
1011 | 1012 | self.EXP_CODE = None |
|
|
1012 | 1013 | self.SUB_EXP_CODE = None |
|
|
1013 | 1014 | self.PLOT_POS = None |
|
|
1014 | 1015 | self.tmin = None |
|
|
1015 | 1016 | self.tmax = None |
|
|
1016 | 1017 | |
|
|
1017 | 1018 | self.xmin = None |
|
|
1018 | 1019 | self.xmax = None |
|
|
1019 | 1020 | |
|
|
1020 | 1021 | self.figfile = None |
|
|
1021 | 1022 | |
|
|
1022 | 1023 | def getSubplots(self): |
|
|
1023 | 1024 | |
|
|
1024 | 1025 | ncol = 1 |
|
|
1025 | 1026 | nrow = self.nplots |
|
|
1026 | 1027 | |
|
|
1027 | 1028 | return nrow, ncol |
|
|
1028 | 1029 | |
|
|
1029 | 1030 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1030 | 1031 | |
|
|
1031 | 1032 | self.__showprofile = showprofile |
|
|
1032 | 1033 | self.nplots = nplots |
|
|
1033 | 1034 | |
|
|
1034 | 1035 | ncolspan = 1 |
|
|
1035 | 1036 | colspan = 1 |
|
|
1036 | 1037 | |
|
|
1037 | 1038 | self.createFigure(id = id, |
|
|
1038 | 1039 | wintitle = wintitle, |
|
|
1039 | 1040 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
1040 | 1041 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
1041 | 1042 | show=show) |
|
|
1042 | 1043 | |
|
|
1043 | 1044 | nrow, ncol = self.getSubplots() |
|
|
1044 | 1045 | |
|
|
1045 | 1046 | counter = 0 |
|
|
1046 | 1047 | for y in range(nrow): |
|
|
1047 | 1048 | for x in range(ncol): |
|
|
1048 | 1049 | |
|
|
1049 | 1050 | if counter >= self.nplots: |
|
|
1050 | 1051 | break |
|
|
1051 | 1052 | |
|
|
1052 | 1053 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
1053 | 1054 | |
|
|
1054 | 1055 | if showprofile: |
|
|
1055 | 1056 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
1056 | 1057 | |
|
|
1057 | 1058 | counter += 1 |
|
|
1058 | 1059 | |
|
|
1059 | 1060 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, |
|
|
1060 | 1061 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None, |
|
|
1061 | 1062 | parameterIndex = None, onlyPositive = False, |
|
|
1062 | 1063 | SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False, |
|
|
1063 | 1064 | DOP = True, |
|
|
1064 | 1065 | zlabel = "", parameterName = "", parameterObject = "data_param", |
|
|
1065 | 1066 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
1066 | 1067 | server=None, folder=None, username=None, password=None, |
|
|
1067 | 1068 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1068 | 1069 | #print inspect.getargspec(self.run).args |
|
|
1069 | 1070 | """ |
|
|
1070 | 1071 | |
|
|
1071 | 1072 | Input: |
|
|
1072 | 1073 | dataOut : |
|
|
1073 | 1074 | id : |
|
|
1074 | 1075 | wintitle : |
|
|
1075 | 1076 | channelList : |
|
|
1076 | 1077 | showProfile : |
|
|
1077 | 1078 | xmin : None, |
|
|
1078 | 1079 | xmax : None, |
|
|
1079 | 1080 | ymin : None, |
|
|
1080 | 1081 | ymax : None, |
|
|
1081 | 1082 | zmin : None, |
|
|
1082 | 1083 | zmax : None |
|
|
1083 | 1084 | """ |
|
|
1084 | 1085 | |
|
|
1085 | 1086 | data_param = getattr(dataOut, parameterObject) |
|
|
1086 | 1087 | |
|
|
1087 | 1088 | if channelList == None: |
|
|
1088 | 1089 | channelIndexList = numpy.arange(data_param.shape[0]) |
|
|
1089 | 1090 | else: |
|
|
1090 | 1091 | channelIndexList = numpy.array(channelList) |
|
|
1091 | 1092 | |
|
|
1092 | 1093 | nchan = len(channelIndexList) #Number of channels being plotted |
|
|
1093 | 1094 | |
|
|
1094 | 1095 | if nchan < 1: |
|
|
1095 | 1096 | return |
|
|
1096 | 1097 | |
|
|
1097 | 1098 | nGraphsByChannel = 0 |
|
|
1098 | 1099 | |
|
|
1099 | 1100 | if SNR: |
|
|
1100 | 1101 | nGraphsByChannel += 1 |
|
|
1101 | 1102 | if DOP: |
|
|
1102 | 1103 | nGraphsByChannel += 1 |
|
|
1103 | 1104 | |
|
|
1104 | 1105 | if nGraphsByChannel < 1: |
|
|
1105 | 1106 | return |
|
|
1106 | 1107 | |
|
|
1107 | 1108 | nplots = nGraphsByChannel*nchan |
|
|
1108 | 1109 | |
|
|
1109 | 1110 | if timerange is not None: |
|
|
1110 | 1111 | self.timerange = timerange |
|
|
1111 | 1112 | |
|
|
1112 | 1113 | #tmin = None |
|
|
1113 | 1114 | #tmax = None |
|
|
1114 | 1115 | if parameterIndex == None: |
|
|
1115 | 1116 | parameterIndex = 1 |
|
|
1116 | 1117 | |
|
|
1117 | 1118 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
|
1118 | 1119 | y = dataOut.heightList |
|
|
1119 | 1120 | z = data_param[channelIndexList,parameterIndex,:].copy() |
|
|
1120 | 1121 | |
|
|
1121 | 1122 | zRange = dataOut.abscissaList |
|
|
1122 | 1123 | # nChannels = z.shape[0] #Number of wind dimensions estimated |
|
|
1123 | 1124 | # thisDatetime = dataOut.datatime |
|
|
1124 | 1125 | |
|
|
1125 | 1126 | if dataOut.data_SNR is not None: |
|
|
1126 | 1127 | SNRarray = dataOut.data_SNR[channelIndexList,:] |
|
|
1127 | 1128 | SNRdB = 10*numpy.log10(SNRarray) |
|
|
1128 | 1129 | # SNRavgdB = 10*numpy.log10(SNRavg) |
|
|
1129 | 1130 | ind = numpy.where(SNRdB < 10**(SNRthresh/10)) |
|
|
1130 | 1131 | z[ind] = numpy.nan |
|
|
1131 | 1132 | |
|
|
1132 | 1133 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
1133 | 1134 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1134 | 1135 | xlabel = "" |
|
|
1135 | 1136 | ylabel = "Range (Km)" |
|
|
1136 | 1137 | |
|
|
1137 | 1138 | if (SNR and not onlySNR): nplots = 2*nplots |
|
|
1138 | 1139 | |
|
|
1139 | 1140 | if onlyPositive: |
|
|
1140 | 1141 | colormap = "jet" |
|
|
1141 | 1142 | zmin = 0 |
|
|
1142 | 1143 | else: colormap = "RdBu_r" |
|
|
1143 | 1144 | |
|
|
1144 | 1145 | if not self.isConfig: |
|
|
1145 | 1146 | |
|
|
1146 | 1147 | self.setup(id=id, |
|
|
1147 | 1148 | nplots=nplots, |
|
|
1148 | 1149 | wintitle=wintitle, |
|
|
1149 | 1150 | showprofile=showprofile, |
|
|
1150 | 1151 | show=show) |
|
|
1151 | 1152 | |
|
|
1152 | 1153 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1153 | 1154 | |
|
|
1154 | 1155 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
1155 | 1156 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
1156 | 1157 | if zmin == None: zmin = numpy.nanmin(zRange) |
|
|
1157 | 1158 | if zmax == None: zmax = numpy.nanmax(zRange) |
|
|
1158 | 1159 | |
|
|
1159 | 1160 | if SNR: |
|
|
1160 | 1161 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) |
|
|
1161 | 1162 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) |
|
|
1162 | 1163 | |
|
|
1163 | 1164 | self.FTP_WEI = ftp_wei |
|
|
1164 | 1165 | self.EXP_CODE = exp_code |
|
|
1165 | 1166 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1166 | 1167 | self.PLOT_POS = plot_pos |
|
|
1167 | 1168 | |
|
|
1168 | 1169 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1169 | 1170 | self.isConfig = True |
|
|
1170 | 1171 | self.figfile = figfile |
|
|
1171 | 1172 | |
|
|
1172 | 1173 | self.setWinTitle(title) |
|
|
1173 | 1174 | |
|
|
1174 | 1175 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
|
1175 | 1176 | x[1] = self.xmax |
|
|
1176 | 1177 | |
|
|
1177 | 1178 | for i in range(nchan): |
|
|
1178 | 1179 | |
|
|
1179 | 1180 | if (SNR and not onlySNR): j = 2*i |
|
|
1180 | 1181 | else: j = i |
|
|
1181 | 1182 | |
|
|
1182 | 1183 | j = nGraphsByChannel*i |
|
|
1183 | 1184 | |
|
|
1184 | 1185 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
1185 | 1186 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
1186 | 1187 | |
|
|
1187 | 1188 | if not onlySNR: |
|
|
1188 | 1189 | axes = self.axesList[j*self.__nsubplots] |
|
|
1189 | 1190 | z1 = z[i,:].reshape((1,-1)) |
|
|
1190 | 1191 | axes.pcolorbuffer(x, y, z1, |
|
|
1191 | 1192 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
1192 | 1193 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, |
|
|
1193 | 1194 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
|
1194 | 1195 | |
|
|
1195 | 1196 | if DOP: |
|
|
1196 | 1197 | title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1197 | 1198 | |
|
|
1198 | 1199 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
1199 | 1200 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
1200 | 1201 | axes = self.axesList[j] |
|
|
1201 | 1202 | z1 = z[i,:].reshape((1,-1)) |
|
|
1202 | 1203 | axes.pcolorbuffer(x, y, z1, |
|
|
1203 | 1204 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
1204 | 1205 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, |
|
|
1205 | 1206 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
|
1206 | 1207 | |
|
|
1207 | 1208 | if SNR: |
|
|
1208 | 1209 | title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1209 | 1210 | axes = self.axesList[(j)*self.__nsubplots] |
|
|
1210 | 1211 | if not onlySNR: |
|
|
1211 | 1212 | axes = self.axesList[(j + 1)*self.__nsubplots] |
|
|
1212 | 1213 | |
|
|
1213 | 1214 | axes = self.axesList[(j + nGraphsByChannel-1)] |
|
|
1214 | 1215 | |
|
|
1215 | 1216 | z1 = SNRdB[i,:].reshape((1,-1)) |
|
|
1216 | 1217 | axes.pcolorbuffer(x, y, z1, |
|
|
1217 | 1218 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
|
1218 | 1219 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet", |
|
|
1219 | 1220 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
|
1220 | 1221 | |
|
|
1221 | 1222 | |
|
|
1222 | 1223 | |
|
|
1223 | 1224 | self.draw() |
|
|
1224 | 1225 | |
|
|
1225 | 1226 | if x[1] >= self.axesList[0].xmax: |
|
|
1226 | 1227 | self.counter_imagwr = wr_period |
|
|
1227 | 1228 | self.isConfig = False |
|
|
1228 | 1229 | self.figfile = None |
|
|
1229 | 1230 | |
|
|
1230 | 1231 | self.save(figpath=figpath, |
|
|
1231 | 1232 | figfile=figfile, |
|
|
1232 | 1233 | save=save, |
|
|
1233 | 1234 | ftp=ftp, |
|
|
1234 | 1235 | wr_period=wr_period, |
|
|
1235 | 1236 | thisDatetime=thisDatetime, |
|
|
1236 | 1237 | update_figfile=False) |
|
|
1237 | 1238 | |
|
|
1238 | 1239 | class SpectralFittingPlot(Figure): |
|
|
1239 | 1240 | |
|
|
1240 | 1241 | __isConfig = None |
|
|
1241 | 1242 | __nsubplots = None |
|
|
1242 | 1243 | |
|
|
1243 | 1244 | WIDTHPROF = None |
|
|
1244 | 1245 | HEIGHTPROF = None |
|
|
1245 | 1246 | PREFIX = 'prm' |
|
|
1246 | 1247 | |
|
|
1247 | 1248 | |
|
|
1248 | 1249 | N = None |
|
|
1249 | 1250 | ippSeconds = None |
|
|
1250 | 1251 | |
|
|
1251 | 1252 | def __init__(self, **kwargs): |
|
|
1252 | 1253 | Figure.__init__(self, **kwargs) |
|
|
1253 | 1254 | self.isConfig = False |
|
|
1254 | 1255 | self.__nsubplots = 1 |
|
|
1255 | 1256 | |
|
|
1256 | 1257 | self.PLOT_CODE = SPECFIT_CODE |
|
|
1257 | 1258 | |
|
|
1258 | 1259 | self.WIDTH = 450 |
|
|
1259 | 1260 | self.HEIGHT = 250 |
|
|
1260 | 1261 | self.WIDTHPROF = 0 |
|
|
1261 | 1262 | self.HEIGHTPROF = 0 |
|
|
1262 | 1263 | |
|
|
1263 | 1264 | def getSubplots(self): |
|
|
1264 | 1265 | |
|
|
1265 | 1266 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
1266 | 1267 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
1267 | 1268 | |
|
|
1268 | 1269 | return nrow, ncol |
|
|
1269 | 1270 | |
|
|
1270 | 1271 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): |
|
|
1271 | 1272 | |
|
|
1272 | 1273 | showprofile = False |
|
|
1273 | 1274 | self.__showprofile = showprofile |
|
|
1274 | 1275 | self.nplots = nplots |
|
|
1275 | 1276 | |
|
|
1276 | 1277 | ncolspan = 5 |
|
|
1277 | 1278 | colspan = 4 |
|
|
1278 | 1279 | if showprofile: |
|
|
1279 | 1280 | ncolspan = 5 |
|
|
1280 | 1281 | colspan = 4 |
|
|
1281 | 1282 | self.__nsubplots = 2 |
|
|
1282 | 1283 | |
|
|
1283 | 1284 | self.createFigure(id = id, |
|
|
1284 | 1285 | wintitle = wintitle, |
|
|
1285 | 1286 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
1286 | 1287 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
1287 | 1288 | show=show) |
|
|
1288 | 1289 | |
|
|
1289 | 1290 | nrow, ncol = self.getSubplots() |
|
|
1290 | 1291 | |
|
|
1291 | 1292 | counter = 0 |
|
|
1292 | 1293 | for y in range(nrow): |
|
|
1293 | 1294 | for x in range(ncol): |
|
|
1294 | 1295 | |
|
|
1295 | 1296 | if counter >= self.nplots: |
|
|
1296 | 1297 | break |
|
|
1297 | 1298 | |
|
|
1298 | 1299 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
1299 | 1300 | |
|
|
1300 | 1301 | if showprofile: |
|
|
1301 | 1302 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
1302 | 1303 | |
|
|
1303 | 1304 | counter += 1 |
|
|
1304 | 1305 | |
|
|
1305 | 1306 | def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True, |
|
|
1306 | 1307 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
1307 | 1308 | save=False, figpath='./', figfile=None, show=True): |
|
|
1308 | 1309 | |
|
|
1309 | 1310 | """ |
|
|
1310 | 1311 | |
|
|
1311 | 1312 | Input: |
|
|
1312 | 1313 | dataOut : |
|
|
1313 | 1314 | id : |
|
|
1314 | 1315 | wintitle : |
|
|
1315 | 1316 | channelList : |
|
|
1316 | 1317 | showProfile : |
|
|
1317 | 1318 | xmin : None, |
|
|
1318 | 1319 | xmax : None, |
|
|
1319 | 1320 | zmin : None, |
|
|
1320 | 1321 | zmax : None |
|
|
1321 | 1322 | """ |
|
|
1322 | 1323 | |
|
|
1323 | 1324 | if cutHeight==None: |
|
|
1324 | 1325 | h=270 |
|
|
1325 | 1326 | heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin() |
|
|
1326 | 1327 | cutHeight = dataOut.heightList[heightindex] |
|
|
1327 | 1328 | |
|
|
1328 | 1329 | factor = dataOut.normFactor |
|
|
1329 | 1330 | x = dataOut.abscissaList[:-1] |
|
|
1330 | 1331 | #y = dataOut.getHeiRange() |
|
|
1331 | 1332 | |
|
|
1332 | 1333 | z = dataOut.data_pre[:,:,heightindex]/factor |
|
|
1333 | 1334 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
1334 | 1335 | avg = numpy.average(z, axis=1) |
|
|
1335 | 1336 | listChannels = z.shape[0] |
|
|
1336 | 1337 | |
|
|
1337 | 1338 | #Reconstruct Function |
|
|
1338 | 1339 | if fit==True: |
|
|
1339 | 1340 | groupArray = dataOut.groupList |
|
|
1340 | 1341 | listChannels = groupArray.reshape((groupArray.size)) |
|
|
1341 | 1342 | listChannels.sort() |
|
|
1342 | 1343 | spcFitLine = numpy.zeros(z.shape) |
|
|
1343 | 1344 | constants = dataOut.constants |
|
|
1344 | 1345 | |
|
|
1345 | 1346 | nGroups = groupArray.shape[0] |
|
|
1346 | 1347 | nChannels = groupArray.shape[1] |
|
|
1347 | 1348 | nProfiles = z.shape[1] |
|
|
1348 | 1349 | |
|
|
1349 | 1350 | for f in range(nGroups): |
|
|
1350 | 1351 | groupChann = groupArray[f,:] |
|
|
1351 | 1352 | p = dataOut.data_param[f,:,heightindex] |
|
|
1352 | 1353 | # p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167]) |
|
|
1353 | 1354 | fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles |
|
|
1354 | 1355 | fitLineAux = fitLineAux.reshape((nChannels,nProfiles)) |
|
|
1355 | 1356 | spcFitLine[groupChann,:] = fitLineAux |
|
|
1356 | 1357 | # spcFitLine = spcFitLine/factor |
|
|
1357 | 1358 | |
|
|
1358 | 1359 | z = z[listChannels,:] |
|
|
1359 | 1360 | spcFitLine = spcFitLine[listChannels,:] |
|
|
1360 | 1361 | spcFitLinedB = 10*numpy.log10(spcFitLine) |
|
|
1361 | 1362 | |
|
|
1362 | 1363 | zdB = 10*numpy.log10(z) |
|
|
1363 | 1364 | #thisDatetime = dataOut.datatime |
|
|
1364 | 1365 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
1365 | 1366 | title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
1366 | 1367 | xlabel = "Velocity (m/s)" |
|
|
1367 | 1368 | ylabel = "Spectrum" |
|
|
1368 | 1369 | |
|
|
1369 | 1370 | if not self.isConfig: |
|
|
1370 | 1371 | |
|
|
1371 | 1372 | nplots = listChannels.size |
|
|
1372 | 1373 | |
|
|
1373 | 1374 | self.setup(id=id, |
|
|
1374 | 1375 | nplots=nplots, |
|
|
1375 | 1376 | wintitle=wintitle, |
|
|
1376 | 1377 | showprofile=showprofile, |
|
|
1377 | 1378 | show=show) |
|
|
1378 | 1379 | |
|
|
1379 | 1380 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
1380 | 1381 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
1381 | 1382 | if ymin == None: ymin = numpy.nanmin(zdB) |
|
|
1382 | 1383 | if ymax == None: ymax = numpy.nanmax(zdB)+2 |
|
|
1383 | 1384 | |
|
|
1384 | 1385 | self.isConfig = True |
|
|
1385 | 1386 | |
|
|
1386 | 1387 | self.setWinTitle(title) |
|
|
1387 | 1388 | for i in range(self.nplots): |
|
|
1388 | 1389 | # title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i]) |
|
|
1389 | 1390 | title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i]) |
|
|
1390 | 1391 | axes = self.axesList[i*self.__nsubplots] |
|
|
1391 | 1392 | if fit == False: |
|
|
1392 | 1393 | axes.pline(x, zdB[i,:], |
|
|
1393 | 1394 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
1394 | 1395 | xlabel=xlabel, ylabel=ylabel, title=title |
|
|
1395 | 1396 | ) |
|
|
1396 | 1397 | if fit == True: |
|
|
1397 | 1398 | fitline=spcFitLinedB[i,:] |
|
|
1398 | 1399 | y=numpy.vstack([zdB[i,:],fitline] ) |
|
|
1399 | 1400 | legendlabels=['Data','Fitting'] |
|
|
1400 | 1401 | axes.pmultilineyaxis(x, y, |
|
|
1401 | 1402 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
1402 | 1403 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
1403 | 1404 | legendlabels=legendlabels, marker=None, |
|
|
1404 | 1405 | linestyle='solid', grid='both') |
|
|
1405 | 1406 | |
|
|
1406 | 1407 | self.draw() |
|
|
1407 | 1408 | |
|
|
1408 | 1409 | self.save(figpath=figpath, |
|
|
1409 | 1410 | figfile=figfile, |
|
|
1410 | 1411 | save=save, |
|
|
1411 | 1412 | ftp=ftp, |
|
|
1412 | 1413 | wr_period=wr_period, |
|
|
1413 | 1414 | thisDatetime=thisDatetime) |
|
|
1414 | 1415 | |
|
|
1415 | 1416 | |
|
|
1416 | 1417 | class EWDriftsPlot(Figure): |
|
|
1417 | 1418 | |
|
|
1418 | 1419 | __isConfig = None |
|
|
1419 | 1420 | __nsubplots = None |
|
|
1420 | 1421 | |
|
|
1421 | 1422 | WIDTHPROF = None |
|
|
1422 | 1423 | HEIGHTPROF = None |
|
|
1423 | 1424 | PREFIX = 'drift' |
|
|
1424 | 1425 | |
|
|
1425 | 1426 | def __init__(self, **kwargs): |
|
|
1426 | 1427 | Figure.__init__(self, **kwargs) |
|
|
1427 | 1428 | self.timerange = 2*60*60 |
|
|
1428 | 1429 | self.isConfig = False |
|
|
1429 | 1430 | self.__nsubplots = 1 |
|
|
1430 | 1431 | |
|
|
1431 | 1432 | self.WIDTH = 800 |
|
|
1432 | 1433 | self.HEIGHT = 150 |
|
|
1433 | 1434 | self.WIDTHPROF = 120 |
|
|
1434 | 1435 | self.HEIGHTPROF = 0 |
|
|
1435 | 1436 | self.counter_imagwr = 0 |
|
|
1436 | 1437 | |
|
|
1437 | 1438 | self.PLOT_CODE = EWDRIFT_CODE |
|
|
1438 | 1439 | |
|
|
1439 | 1440 | self.FTP_WEI = None |
|
|
1440 | 1441 | self.EXP_CODE = None |
|
|
1441 | 1442 | self.SUB_EXP_CODE = None |
|
|
1442 | 1443 | self.PLOT_POS = None |
|
|
1443 | 1444 | self.tmin = None |
|
|
1444 | 1445 | self.tmax = None |
|
|
1445 | 1446 | |
|
|
1446 | 1447 | self.xmin = None |
|
|
1447 | 1448 | self.xmax = None |
|
|
1448 | 1449 | |
|
|
1449 | 1450 | self.figfile = None |
|
|
1450 | 1451 | |
|
|
1451 | 1452 | def getSubplots(self): |
|
|
1452 | 1453 | |
|
|
1453 | 1454 | ncol = 1 |
|
|
1454 | 1455 | nrow = self.nplots |
|
|
1455 | 1456 | |
|
|
1456 | 1457 | return nrow, ncol |
|
|
1457 | 1458 | |
|
|
1458 | 1459 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1459 | 1460 | |
|
|
1460 | 1461 | self.__showprofile = showprofile |
|
|
1461 | 1462 | self.nplots = nplots |
|
|
1462 | 1463 | |
|
|
1463 | 1464 | ncolspan = 1 |
|
|
1464 | 1465 | colspan = 1 |
|
|
1465 | 1466 | |
|
|
1466 | 1467 | self.createFigure(id = id, |
|
|
1467 | 1468 | wintitle = wintitle, |
|
|
1468 | 1469 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
1469 | 1470 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
1470 | 1471 | show=show) |
|
|
1471 | 1472 | |
|
|
1472 | 1473 | nrow, ncol = self.getSubplots() |
|
|
1473 | 1474 | |
|
|
1474 | 1475 | counter = 0 |
|
|
1475 | 1476 | for y in range(nrow): |
|
|
1476 | 1477 | if counter >= self.nplots: |
|
|
1477 | 1478 | break |
|
|
1478 | 1479 | |
|
|
1479 | 1480 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) |
|
|
1480 | 1481 | counter += 1 |
|
|
1481 | 1482 | |
|
|
1482 | 1483 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|
1483 | 1484 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
1484 | 1485 | zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None, |
|
|
1485 | 1486 | timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False, |
|
|
1486 | 1487 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
1487 | 1488 | server=None, folder=None, username=None, password=None, |
|
|
1488 | 1489 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1489 | 1490 | """ |
|
|
1490 | 1491 | |
|
|
1491 | 1492 | Input: |
|
|
1492 | 1493 | dataOut : |
|
|
1493 | 1494 | id : |
|
|
1494 | 1495 | wintitle : |
|
|
1495 | 1496 | channelList : |
|
|
1496 | 1497 | showProfile : |
|
|
1497 | 1498 | xmin : None, |
|
|
1498 | 1499 | xmax : None, |
|
|
1499 | 1500 | ymin : None, |
|
|
1500 | 1501 | ymax : None, |
|
|
1501 | 1502 | zmin : None, |
|
|
1502 | 1503 | zmax : None |
|
|
1503 | 1504 | """ |
|
|
1504 | 1505 | |
|
|
1505 | 1506 | if timerange is not None: |
|
|
1506 | 1507 | self.timerange = timerange |
|
|
1507 | 1508 | |
|
|
1508 | 1509 | tmin = None |
|
|
1509 | 1510 | tmax = None |
|
|
1510 | 1511 | |
|
|
1511 | 1512 | x = dataOut.getTimeRange1(dataOut.outputInterval) |
|
|
1512 | 1513 | # y = dataOut.heightList |
|
|
1513 | 1514 | y = dataOut.heightList |
|
|
1514 | 1515 | |
|
|
1515 | 1516 | z = dataOut.data_output |
|
|
1516 | 1517 | nplots = z.shape[0] #Number of wind dimensions estimated |
|
|
1517 | 1518 | nplotsw = nplots |
|
|
1518 | 1519 | |
|
|
1519 | 1520 | #If there is a SNR function defined |
|
|
1520 | 1521 | if dataOut.data_SNR is not None: |
|
|
1521 | 1522 | nplots += 1 |
|
|
1522 | 1523 | SNR = dataOut.data_SNR |
|
|
1523 | 1524 | |
|
|
1524 | 1525 | if SNR_1: |
|
|
1525 | 1526 | SNR += 1 |
|
|
1526 | 1527 | |
|
|
1527 | 1528 | SNRavg = numpy.average(SNR, axis=0) |
|
|
1528 | 1529 | |
|
|
1529 | 1530 | SNRdB = 10*numpy.log10(SNR) |
|
|
1530 | 1531 | SNRavgdB = 10*numpy.log10(SNRavg) |
|
|
1531 | 1532 | |
|
|
1532 | 1533 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] |
|
|
1533 | 1534 | |
|
|
1534 | 1535 | for i in range(nplotsw): |
|
|
1535 | 1536 | z[i,ind] = numpy.nan |
|
|
1536 | 1537 | |
|
|
1537 | 1538 | |
|
|
1538 | 1539 | showprofile = False |
|
|
1539 | 1540 | # thisDatetime = dataOut.datatime |
|
|
1540 | 1541 | thisDatetime = datetime.datetime.utcfromtimestamp(x[1]) |
|
|
1541 | 1542 | title = wintitle + " EW Drifts" |
|
|
1542 | 1543 | xlabel = "" |
|
|
1543 | 1544 | ylabel = "Height (Km)" |
|
|
1544 | 1545 | |
|
|
1545 | 1546 | if not self.isConfig: |
|
|
1546 | 1547 | |
|
|
1547 | 1548 | self.setup(id=id, |
|
|
1548 | 1549 | nplots=nplots, |
|
|
1549 | 1550 | wintitle=wintitle, |
|
|
1550 | 1551 | showprofile=showprofile, |
|
|
1551 | 1552 | show=show) |
|
|
1552 | 1553 | |
|
|
1553 | 1554 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1554 | 1555 | |
|
|
1555 | 1556 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
1556 | 1557 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
1557 | 1558 | |
|
|
1558 | 1559 | if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:])) |
|
|
1559 | 1560 | if zminZonal == None: zminZonal = -zmaxZonal |
|
|
1560 | 1561 | if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:])) |
|
|
1561 | 1562 | if zminVertical == None: zminVertical = -zmaxVertical |
|
|
1562 | 1563 | |
|
|
1563 | 1564 | if dataOut.data_SNR is not None: |
|
|
1564 | 1565 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) |
|
|
1565 | 1566 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) |
|
|
1566 | 1567 | |
|
|
1567 | 1568 | self.FTP_WEI = ftp_wei |
|
|
1568 | 1569 | self.EXP_CODE = exp_code |
|
|
1569 | 1570 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1570 | 1571 | self.PLOT_POS = plot_pos |
|
|
1571 | 1572 | |
|
|
1572 | 1573 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1573 | 1574 | self.isConfig = True |
|
|
1574 | 1575 | |
|
|
1575 | 1576 | |
|
|
1576 | 1577 | self.setWinTitle(title) |
|
|
1577 | 1578 | |
|
|
1578 | 1579 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
|
1579 | 1580 | x[1] = self.xmax |
|
|
1580 | 1581 | |
|
|
1581 | 1582 | strWind = ['Zonal','Vertical'] |
|
|
1582 | 1583 | strCb = 'Velocity (m/s)' |
|
|
1583 | 1584 | zmaxVector = [zmaxZonal, zmaxVertical] |
|
|
1584 | 1585 | zminVector = [zminZonal, zminVertical] |
|
|
1585 | 1586 | |
|
|
1586 | 1587 | for i in range(nplotsw): |
|
|
1587 | 1588 | |
|
|
1588 | 1589 | title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1589 | 1590 | axes = self.axesList[i*self.__nsubplots] |
|
|
1590 | 1591 | |
|
|
1591 | 1592 | z1 = z[i,:].reshape((1,-1)) |
|
|
1592 | 1593 | |
|
|
1593 | 1594 | axes.pcolorbuffer(x, y, z1, |
|
|
1594 | 1595 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], |
|
|
1595 | 1596 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
1596 | 1597 | ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r") |
|
|
1597 | 1598 | |
|
|
1598 | 1599 | if dataOut.data_SNR is not None: |
|
|
1599 | 1600 | i += 1 |
|
|
1600 | 1601 | if SNR_1: |
|
|
1601 | 1602 | title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1602 | 1603 | else: |
|
|
1603 | 1604 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1604 | 1605 | axes = self.axesList[i*self.__nsubplots] |
|
|
1605 | 1606 | SNRavgdB = SNRavgdB.reshape((1,-1)) |
|
|
1606 | 1607 | |
|
|
1607 | 1608 | axes.pcolorbuffer(x, y, SNRavgdB, |
|
|
1608 | 1609 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
|
1609 | 1610 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
1610 | 1611 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") |
|
|
1611 | 1612 | |
|
|
1612 | 1613 | self.draw() |
|
|
1613 | 1614 | |
|
|
1614 | 1615 | if x[1] >= self.axesList[0].xmax: |
|
|
1615 | 1616 | self.counter_imagwr = wr_period |
|
|
1616 | 1617 | self.isConfig = False |
|
|
1617 | 1618 | self.figfile = None |
|
|
1618 | 1619 | |
|
|
1619 | 1620 | |
|
|
1620 | 1621 | |
|
|
1621 | 1622 | |
|
|
1622 | 1623 | class PhasePlot(Figure): |
|
|
1623 | 1624 | |
|
|
1624 | 1625 | __isConfig = None |
|
|
1625 | 1626 | __nsubplots = None |
|
|
1626 | 1627 | |
|
|
1627 | 1628 | PREFIX = 'mphase' |
|
|
1628 | 1629 | |
|
|
1629 | 1630 | def __init__(self, **kwargs): |
|
|
1630 | 1631 | Figure.__init__(self, **kwargs) |
|
|
1631 | 1632 | self.timerange = 24*60*60 |
|
|
1632 | 1633 | self.isConfig = False |
|
|
1633 | 1634 | self.__nsubplots = 1 |
|
|
1634 | 1635 | self.counter_imagwr = 0 |
|
|
1635 | 1636 | self.WIDTH = 600 |
|
|
1636 | 1637 | self.HEIGHT = 300 |
|
|
1637 | 1638 | self.WIDTHPROF = 120 |
|
|
1638 | 1639 | self.HEIGHTPROF = 0 |
|
|
1639 | 1640 | self.xdata = None |
|
|
1640 | 1641 | self.ydata = None |
|
|
1641 | 1642 | |
|
|
1642 | 1643 | self.PLOT_CODE = MPHASE_CODE |
|
|
1643 | 1644 | |
|
|
1644 | 1645 | self.FTP_WEI = None |
|
|
1645 | 1646 | self.EXP_CODE = None |
|
|
1646 | 1647 | self.SUB_EXP_CODE = None |
|
|
1647 | 1648 | self.PLOT_POS = None |
|
|
1648 | 1649 | |
|
|
1649 | 1650 | |
|
|
1650 | 1651 | self.filename_phase = None |
|
|
1651 | 1652 | |
|
|
1652 | 1653 | self.figfile = None |
|
|
1653 | 1654 | |
|
|
1654 | 1655 | def getSubplots(self): |
|
|
1655 | 1656 | |
|
|
1656 | 1657 | ncol = 1 |
|
|
1657 | 1658 | nrow = 1 |
|
|
1658 | 1659 | |
|
|
1659 | 1660 | return nrow, ncol |
|
|
1660 | 1661 | |
|
|
1661 | 1662 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1662 | 1663 | |
|
|
1663 | 1664 | self.__showprofile = showprofile |
|
|
1664 | 1665 | self.nplots = nplots |
|
|
1665 | 1666 | |
|
|
1666 | 1667 | ncolspan = 7 |
|
|
1667 | 1668 | colspan = 6 |
|
|
1668 | 1669 | self.__nsubplots = 2 |
|
|
1669 | 1670 | |
|
|
1670 | 1671 | self.createFigure(id = id, |
|
|
1671 | 1672 | wintitle = wintitle, |
|
|
1672 | 1673 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|
1673 | 1674 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|
1674 | 1675 | show=show) |
|
|
1675 | 1676 | |
|
|
1676 | 1677 | nrow, ncol = self.getSubplots() |
|
|
1677 | 1678 | |
|
|
1678 | 1679 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|
1679 | 1680 | |
|
|
1680 | 1681 | |
|
|
1681 | 1682 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|
1682 | 1683 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
1683 | 1684 | timerange=None, |
|
|
1684 | 1685 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1685 | 1686 | server=None, folder=None, username=None, password=None, |
|
|
1686 | 1687 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1687 | 1688 | |
|
|
1688 | 1689 | |
|
|
1689 | 1690 | tmin = None |
|
|
1690 | 1691 | tmax = None |
|
|
1691 | 1692 | x = dataOut.getTimeRange1(dataOut.outputInterval) |
|
|
1692 | 1693 | y = dataOut.getHeiRange() |
|
|
1693 | 1694 | |
|
|
1694 | 1695 | |
|
|
1695 | 1696 | #thisDatetime = dataOut.datatime |
|
|
1696 | 1697 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
1697 | 1698 | title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1698 | 1699 | xlabel = "Local Time" |
|
|
1699 | 1700 | ylabel = "Phase" |
|
|
1700 | 1701 | |
|
|
1701 | 1702 | |
|
|
1702 | 1703 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
|
1703 | 1704 | phase_beacon = dataOut.data_output |
|
|
1704 | 1705 | update_figfile = False |
|
|
1705 | 1706 | |
|
|
1706 | 1707 | if not self.isConfig: |
|
|
1707 | 1708 | |
|
|
1708 | 1709 | self.nplots = phase_beacon.size |
|
|
1709 | 1710 | |
|
|
1710 | 1711 | self.setup(id=id, |
|
|
1711 | 1712 | nplots=self.nplots, |
|
|
1712 | 1713 | wintitle=wintitle, |
|
|
1713 | 1714 | showprofile=showprofile, |
|
|
1714 | 1715 | show=show) |
|
|
1715 | 1716 | |
|
|
1716 | 1717 | if timerange is not None: |
|
|
1717 | 1718 | self.timerange = timerange |
|
|
1718 | 1719 | |
|
|
1719 | 1720 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1720 | 1721 | |
|
|
1721 | 1722 | if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0 |
|
|
1722 | 1723 | if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0 |
|
|
1723 | 1724 | |
|
|
1724 | 1725 | self.FTP_WEI = ftp_wei |
|
|
1725 | 1726 | self.EXP_CODE = exp_code |
|
|
1726 | 1727 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1727 | 1728 | self.PLOT_POS = plot_pos |
|
|
1728 | 1729 | |
|
|
1729 | 1730 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1730 | 1731 | self.isConfig = True |
|
|
1731 | 1732 | self.figfile = figfile |
|
|
1732 | 1733 | self.xdata = numpy.array([]) |
|
|
1733 | 1734 | self.ydata = numpy.array([]) |
|
|
1734 | 1735 | |
|
|
1735 | 1736 | #open file beacon phase |
|
|
1736 | 1737 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|
1737 | 1738 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
|
1738 | 1739 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
|
1739 | 1740 | update_figfile = True |
|
|
1740 | 1741 | |
|
|
1741 | 1742 | |
|
|
1742 | 1743 | #store data beacon phase |
|
|
1743 | 1744 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
|
1744 | 1745 | |
|
|
1745 | 1746 | self.setWinTitle(title) |
|
|
1746 | 1747 | |
|
|
1747 | 1748 | |
|
|
1748 | 1749 | title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1749 | 1750 | |
|
|
1750 | 1751 | legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)] |
|
|
1751 | 1752 | |
|
|
1752 | 1753 | axes = self.axesList[0] |
|
|
1753 | 1754 | |
|
|
1754 | 1755 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|
1755 | 1756 | |
|
|
1756 | 1757 | if len(self.ydata)==0: |
|
|
1757 | 1758 | self.ydata = phase_beacon.reshape(-1,1) |
|
|
1758 | 1759 | else: |
|
|
1759 | 1760 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
|
1760 | 1761 | |
|
|
1761 | 1762 | |
|
|
1762 | 1763 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|
1763 | 1764 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
|
1764 | 1765 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|
1765 | 1766 | XAxisAsTime=True, grid='both' |
|
|
1766 | 1767 | ) |
|
|
1767 | 1768 | |
|
|
1768 | 1769 | self.draw() |
|
|
1769 | 1770 | |
|
|
1770 | 1771 | self.save(figpath=figpath, |
|
|
1771 | 1772 | figfile=figfile, |
|
|
1772 | 1773 | save=save, |
|
|
1773 | 1774 | ftp=ftp, |
|
|
1774 | 1775 | wr_period=wr_period, |
|
|
1775 | 1776 | thisDatetime=thisDatetime, |
|
|
1776 | 1777 | update_figfile=update_figfile) |
|
|
1777 | 1778 | |
|
|
1778 | 1779 | if dataOut.ltctime + dataOut.outputInterval >= self.xmax: |
|
|
1779 | 1780 | self.counter_imagwr = wr_period |
|
|
1780 | 1781 | self.isConfig = False |
|
|
1781 | 1782 | update_figfile = True |
|
|
1782 | 1783 | |
|
|
1783 | 1784 | |
|
|
1784 | 1785 | |
|
|
1785 | 1786 | class NSMeteorDetection1Plot(Figure): |
|
|
1786 | 1787 | |
|
|
1787 | 1788 | isConfig = None |
|
|
1788 | 1789 | __nsubplots = None |
|
|
1789 | 1790 | |
|
|
1790 | 1791 | WIDTHPROF = None |
|
|
1791 | 1792 | HEIGHTPROF = None |
|
|
1792 | 1793 | PREFIX = 'nsm' |
|
|
1793 | 1794 | |
|
|
1794 | 1795 | zminList = None |
|
|
1795 | 1796 | zmaxList = None |
|
|
1796 | 1797 | cmapList = None |
|
|
1797 | 1798 | titleList = None |
|
|
1798 | 1799 | nPairs = None |
|
|
1799 | 1800 | nChannels = None |
|
|
1800 | 1801 | nParam = None |
|
|
1801 | 1802 | |
|
|
1802 | 1803 | def __init__(self, **kwargs): |
|
|
1803 | 1804 | Figure.__init__(self, **kwargs) |
|
|
1804 | 1805 | self.isConfig = False |
|
|
1805 | 1806 | self.__nsubplots = 1 |
|
|
1806 | 1807 | |
|
|
1807 | 1808 | self.WIDTH = 750 |
|
|
1808 | 1809 | self.HEIGHT = 250 |
|
|
1809 | 1810 | self.WIDTHPROF = 120 |
|
|
1810 | 1811 | self.HEIGHTPROF = 0 |
|
|
1811 | 1812 | self.counter_imagwr = 0 |
|
|
1812 | 1813 | |
|
|
1813 | 1814 | self.PLOT_CODE = SPEC_CODE |
|
|
1814 | 1815 | |
|
|
1815 | 1816 | self.FTP_WEI = None |
|
|
1816 | 1817 | self.EXP_CODE = None |
|
|
1817 | 1818 | self.SUB_EXP_CODE = None |
|
|
1818 | 1819 | self.PLOT_POS = None |
|
|
1819 | 1820 | |
|
|
1820 | 1821 | self.__xfilter_ena = False |
|
|
1821 | 1822 | self.__yfilter_ena = False |
|
|
1822 | 1823 | |
|
|
1823 | 1824 | def getSubplots(self): |
|
|
1824 | 1825 | |
|
|
1825 | 1826 | ncol = 3 |
|
|
1826 | 1827 | nrow = int(numpy.ceil(self.nplots/3.0)) |
|
|
1827 | 1828 | |
|
|
1828 | 1829 | return nrow, ncol |
|
|
1829 | 1830 | |
|
|
1830 | 1831 | def setup(self, id, nplots, wintitle, show=True): |
|
|
1831 | 1832 | |
|
|
1832 | 1833 | self.nplots = nplots |
|
|
1833 | 1834 | |
|
|
1834 | 1835 | ncolspan = 1 |
|
|
1835 | 1836 | colspan = 1 |
|
|
1836 | 1837 | |
|
|
1837 | 1838 | self.createFigure(id = id, |
|
|
1838 | 1839 | wintitle = wintitle, |
|
|
1839 | 1840 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
1840 | 1841 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
1841 | 1842 | show=show) |
|
|
1842 | 1843 | |
|
|
1843 | 1844 | nrow, ncol = self.getSubplots() |
|
|
1844 | 1845 | |
|
|
1845 | 1846 | counter = 0 |
|
|
1846 | 1847 | for y in range(nrow): |
|
|
1847 | 1848 | for x in range(ncol): |
|
|
1848 | 1849 | |
|
|
1849 | 1850 | if counter >= self.nplots: |
|
|
1850 | 1851 | break |
|
|
1851 | 1852 | |
|
|
1852 | 1853 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
1853 | 1854 | |
|
|
1854 | 1855 | counter += 1 |
|
|
1855 | 1856 | |
|
|
1856 | 1857 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
1857 | 1858 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, |
|
|
1858 | 1859 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', |
|
|
1859 | 1860 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1860 | 1861 | server=None, folder=None, username=None, password=None, |
|
|
1861 | 1862 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
|
1862 | 1863 | xaxis="frequency"): |
|
|
1863 | 1864 | |
|
|
1864 | 1865 | """ |
|
|
1865 | 1866 | |
|
|
1866 | 1867 | Input: |
|
|
1867 | 1868 | dataOut : |
|
|
1868 | 1869 | id : |
|
|
1869 | 1870 | wintitle : |
|
|
1870 | 1871 | channelList : |
|
|
1871 | 1872 | showProfile : |
|
|
1872 | 1873 | xmin : None, |
|
|
1873 | 1874 | xmax : None, |
|
|
1874 | 1875 | ymin : None, |
|
|
1875 | 1876 | ymax : None, |
|
|
1876 | 1877 | zmin : None, |
|
|
1877 | 1878 | zmax : None |
|
|
1878 | 1879 | """ |
|
|
1879 | 1880 | #SEPARAR EN DOS PLOTS |
|
|
1880 | 1881 | nParam = dataOut.data_param.shape[1] - 3 |
|
|
1881 | 1882 | |
|
|
1882 | 1883 | utctime = dataOut.data_param[0,0] |
|
|
1883 | 1884 | tmet = dataOut.data_param[:,1].astype(int) |
|
|
1884 | 1885 | hmet = dataOut.data_param[:,2].astype(int) |
|
|
1885 | 1886 | |
|
|
1886 | 1887 | x = dataOut.abscissaList |
|
|
1887 | 1888 | y = dataOut.heightList |
|
|
1888 | 1889 | |
|
|
1889 | 1890 | z = numpy.zeros((nParam, y.size, x.size - 1)) |
|
|
1890 | 1891 | z[:,:] = numpy.nan |
|
|
1891 | 1892 | z[:,hmet,tmet] = dataOut.data_param[:,3:].T |
|
|
1892 | 1893 | z[0,:,:] = 10*numpy.log10(z[0,:,:]) |
|
|
1893 | 1894 | |
|
|
1894 | 1895 | xlabel = "Time (s)" |
|
|
1895 | 1896 | ylabel = "Range (km)" |
|
|
1896 | 1897 | |
|
|
1897 | 1898 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
1898 | 1899 | |
|
|
1899 | 1900 | if not self.isConfig: |
|
|
1900 | 1901 | |
|
|
1901 | 1902 | nplots = nParam |
|
|
1902 | 1903 | |
|
|
1903 | 1904 | self.setup(id=id, |
|
|
1904 | 1905 | nplots=nplots, |
|
|
1905 | 1906 | wintitle=wintitle, |
|
|
1906 | 1907 | show=show) |
|
|
1907 | 1908 | |
|
|
1908 | 1909 | if xmin is None: xmin = numpy.nanmin(x) |
|
|
1909 | 1910 | if xmax is None: xmax = numpy.nanmax(x) |
|
|
1910 | 1911 | if ymin is None: ymin = numpy.nanmin(y) |
|
|
1911 | 1912 | if ymax is None: ymax = numpy.nanmax(y) |
|
|
1912 | 1913 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) |
|
|
1913 | 1914 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) |
|
|
1914 | 1915 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) |
|
|
1915 | 1916 | if vmin is None: vmin = -vmax |
|
|
1916 | 1917 | if wmin is None: wmin = 0 |
|
|
1917 | 1918 | if wmax is None: wmax = 50 |
|
|
1918 | 1919 | |
|
|
1919 | 1920 | pairsList = dataOut.groupList |
|
|
1920 | 1921 | self.nPairs = len(dataOut.groupList) |
|
|
1921 | 1922 | |
|
|
1922 | 1923 | zminList = [SNRmin, vmin, cmin] + [pmin]*self.nPairs |
|
|
1923 | 1924 | zmaxList = [SNRmax, vmax, cmax] + [pmax]*self.nPairs |
|
|
1924 | 1925 | titleList = ["SNR","Radial Velocity","Coherence"] |
|
|
1925 | 1926 | cmapList = ["jet","RdBu_r","jet"] |
|
|
1926 | 1927 | |
|
|
1927 | 1928 | for i in range(self.nPairs): |
|
|
1928 | 1929 | strAux1 = "Phase Difference "+ str(pairsList[i][0]) + str(pairsList[i][1]) |
|
|
1929 | 1930 | titleList = titleList + [strAux1] |
|
|
1930 | 1931 | cmapList = cmapList + ["RdBu_r"] |
|
|
1931 | 1932 | |
|
|
1932 | 1933 | self.zminList = zminList |
|
|
1933 | 1934 | self.zmaxList = zmaxList |
|
|
1934 | 1935 | self.cmapList = cmapList |
|
|
1935 | 1936 | self.titleList = titleList |
|
|
1936 | 1937 | |
|
|
1937 | 1938 | self.FTP_WEI = ftp_wei |
|
|
1938 | 1939 | self.EXP_CODE = exp_code |
|
|
1939 | 1940 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1940 | 1941 | self.PLOT_POS = plot_pos |
|
|
1941 | 1942 | |
|
|
1942 | 1943 | self.isConfig = True |
|
|
1943 | 1944 | |
|
|
1944 | 1945 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
1945 | 1946 | |
|
|
1946 | 1947 | for i in range(nParam): |
|
|
1947 | 1948 | title = self.titleList[i] + ": " +str_datetime |
|
|
1948 | 1949 | axes = self.axesList[i] |
|
|
1949 | 1950 | axes.pcolor(x, y, z[i,:].T, |
|
|
1950 | 1951 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], |
|
|
1951 | 1952 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') |
|
|
1952 | 1953 | self.draw() |
|
|
1953 | 1954 | |
|
|
1954 | 1955 | if figfile == None: |
|
|
1955 | 1956 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1956 | 1957 | name = str_datetime |
|
|
1957 | 1958 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
1958 | 1959 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
|
1959 | 1960 | figfile = self.getFilename(name) |
|
|
1960 | 1961 | |
|
|
1961 | 1962 | self.save(figpath=figpath, |
|
|
1962 | 1963 | figfile=figfile, |
|
|
1963 | 1964 | save=save, |
|
|
1964 | 1965 | ftp=ftp, |
|
|
1965 | 1966 | wr_period=wr_period, |
|
|
1966 | 1967 | thisDatetime=thisDatetime) |
|
|
1967 | 1968 | |
|
|
1968 | 1969 | |
|
|
1969 | 1970 | class NSMeteorDetection2Plot(Figure): |
|
|
1970 | 1971 | |
|
|
1971 | 1972 | isConfig = None |
|
|
1972 | 1973 | __nsubplots = None |
|
|
1973 | 1974 | |
|
|
1974 | 1975 | WIDTHPROF = None |
|
|
1975 | 1976 | HEIGHTPROF = None |
|
|
1976 | 1977 | PREFIX = 'nsm' |
|
|
1977 | 1978 | |
|
|
1978 | 1979 | zminList = None |
|
|
1979 | 1980 | zmaxList = None |
|
|
1980 | 1981 | cmapList = None |
|
|
1981 | 1982 | titleList = None |
|
|
1982 | 1983 | nPairs = None |
|
|
1983 | 1984 | nChannels = None |
|
|
1984 | 1985 | nParam = None |
|
|
1985 | 1986 | |
|
|
1986 | 1987 | def __init__(self, **kwargs): |
|
|
1987 | 1988 | Figure.__init__(self, **kwargs) |
|
|
1988 | 1989 | self.isConfig = False |
|
|
1989 | 1990 | self.__nsubplots = 1 |
|
|
1990 | 1991 | |
|
|
1991 | 1992 | self.WIDTH = 750 |
|
|
1992 | 1993 | self.HEIGHT = 250 |
|
|
1993 | 1994 | self.WIDTHPROF = 120 |
|
|
1994 | 1995 | self.HEIGHTPROF = 0 |
|
|
1995 | 1996 | self.counter_imagwr = 0 |
|
|
1996 | 1997 | |
|
|
1997 | 1998 | self.PLOT_CODE = SPEC_CODE |
|
|
1998 | 1999 | |
|
|
1999 | 2000 | self.FTP_WEI = None |
|
|
2000 | 2001 | self.EXP_CODE = None |
|
|
2001 | 2002 | self.SUB_EXP_CODE = None |
|
|
2002 | 2003 | self.PLOT_POS = None |
|
|
2003 | 2004 | |
|
|
2004 | 2005 | self.__xfilter_ena = False |
|
|
2005 | 2006 | self.__yfilter_ena = False |
|
|
2006 | 2007 | |
|
|
2007 | 2008 | def getSubplots(self): |
|
|
2008 | 2009 | |
|
|
2009 | 2010 | ncol = 3 |
|
|
2010 | 2011 | nrow = int(numpy.ceil(self.nplots/3.0)) |
|
|
2011 | 2012 | |
|
|
2012 | 2013 | return nrow, ncol |
|
|
2013 | 2014 | |
|
|
2014 | 2015 | def setup(self, id, nplots, wintitle, show=True): |
|
|
2015 | 2016 | |
|
|
2016 | 2017 | self.nplots = nplots |
|
|
2017 | 2018 | |
|
|
2018 | 2019 | ncolspan = 1 |
|
|
2019 | 2020 | colspan = 1 |
|
|
2020 | 2021 | |
|
|
2021 | 2022 | self.createFigure(id = id, |
|
|
2022 | 2023 | wintitle = wintitle, |
|
|
2023 | 2024 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
2024 | 2025 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
2025 | 2026 | show=show) |
|
|
2026 | 2027 | |
|
|
2027 | 2028 | nrow, ncol = self.getSubplots() |
|
|
2028 | 2029 | |
|
|
2029 | 2030 | counter = 0 |
|
|
2030 | 2031 | for y in range(nrow): |
|
|
2031 | 2032 | for x in range(ncol): |
|
|
2032 | 2033 | |
|
|
2033 | 2034 | if counter >= self.nplots: |
|
|
2034 | 2035 | break |
|
|
2035 | 2036 | |
|
|
2036 | 2037 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
2037 | 2038 | |
|
|
2038 | 2039 | counter += 1 |
|
|
2039 | 2040 | |
|
|
2040 | 2041 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
2041 | 2042 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, |
|
|
2042 | 2043 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', |
|
|
2043 | 2044 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
2044 | 2045 | server=None, folder=None, username=None, password=None, |
|
|
2045 | 2046 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
|
2046 | 2047 | xaxis="frequency"): |
|
|
2047 | 2048 | |
|
|
2048 | 2049 | """ |
|
|
2049 | 2050 | |
|
|
2050 | 2051 | Input: |
|
|
2051 | 2052 | dataOut : |
|
|
2052 | 2053 | id : |
|
|
2053 | 2054 | wintitle : |
|
|
2054 | 2055 | channelList : |
|
|
2055 | 2056 | showProfile : |
|
|
2056 | 2057 | xmin : None, |
|
|
2057 | 2058 | xmax : None, |
|
|
2058 | 2059 | ymin : None, |
|
|
2059 | 2060 | ymax : None, |
|
|
2060 | 2061 | zmin : None, |
|
|
2061 | 2062 | zmax : None |
|
|
2062 | 2063 | """ |
|
|
2063 | 2064 | #Rebuild matrix |
|
|
2064 | 2065 | utctime = dataOut.data_param[0,0] |
|
|
2065 | 2066 | cmet = dataOut.data_param[:,1].astype(int) |
|
|
2066 | 2067 | tmet = dataOut.data_param[:,2].astype(int) |
|
|
2067 | 2068 | hmet = dataOut.data_param[:,3].astype(int) |
|
|
2068 | 2069 | |
|
|
2069 | 2070 | nParam = 3 |
|
|
2070 | 2071 | nChan = len(dataOut.groupList) |
|
|
2071 | 2072 | x = dataOut.abscissaList |
|
|
2072 | 2073 | y = dataOut.heightList |
|
|
2073 | 2074 | |
|
|
2074 | 2075 | z = numpy.full((nChan, nParam, y.size, x.size - 1),numpy.nan) |
|
|
2075 | 2076 | z[cmet,:,hmet,tmet] = dataOut.data_param[:,4:] |
|
|
2076 | 2077 | z[:,0,:,:] = 10*numpy.log10(z[:,0,:,:]) #logarithmic scale |
|
|
2077 | 2078 | z = numpy.reshape(z, (nChan*nParam, y.size, x.size-1)) |
|
|
2078 | 2079 | |
|
|
2079 | 2080 | xlabel = "Time (s)" |
|
|
2080 | 2081 | ylabel = "Range (km)" |
|
|
2081 | 2082 | |
|
|
2082 | 2083 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
|
2083 | 2084 | |
|
|
2084 | 2085 | if not self.isConfig: |
|
|
2085 | 2086 | |
|
|
2086 | 2087 | nplots = nParam*nChan |
|
|
2087 | 2088 | |
|
|
2088 | 2089 | self.setup(id=id, |
|
|
2089 | 2090 | nplots=nplots, |
|
|
2090 | 2091 | wintitle=wintitle, |
|
|
2091 | 2092 | show=show) |
|
|
2092 | 2093 | |
|
|
2093 | 2094 | if xmin is None: xmin = numpy.nanmin(x) |
|
|
2094 | 2095 | if xmax is None: xmax = numpy.nanmax(x) |
|
|
2095 | 2096 | if ymin is None: ymin = numpy.nanmin(y) |
|
|
2096 | 2097 | if ymax is None: ymax = numpy.nanmax(y) |
|
|
2097 | 2098 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) |
|
|
2098 | 2099 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) |
|
|
2099 | 2100 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) |
|
|
2100 | 2101 | if vmin is None: vmin = -vmax |
|
|
2101 | 2102 | if wmin is None: wmin = 0 |
|
|
2102 | 2103 | if wmax is None: wmax = 50 |
|
|
2103 | 2104 | |
|
|
2104 | 2105 | self.nChannels = nChan |
|
|
2105 | 2106 | |
|
|
2106 | 2107 | zminList = [] |
|
|
2107 | 2108 | zmaxList = [] |
|
|
2108 | 2109 | titleList = [] |
|
|
2109 | 2110 | cmapList = [] |
|
|
2110 | 2111 | for i in range(self.nChannels): |
|
|
2111 | 2112 | strAux1 = "SNR Channel "+ str(i) |
|
|
2112 | 2113 | strAux2 = "Radial Velocity Channel "+ str(i) |
|
|
2113 | 2114 | strAux3 = "Spectral Width Channel "+ str(i) |
|
|
2114 | 2115 | |
|
|
2115 | 2116 | titleList = titleList + [strAux1,strAux2,strAux3] |
|
|
2116 | 2117 | cmapList = cmapList + ["jet","RdBu_r","jet"] |
|
|
2117 | 2118 | zminList = zminList + [SNRmin,vmin,wmin] |
|
|
2118 | 2119 | zmaxList = zmaxList + [SNRmax,vmax,wmax] |
|
|
2119 | 2120 | |
|
|
2120 | 2121 | self.zminList = zminList |
|
|
2121 | 2122 | self.zmaxList = zmaxList |
|
|
2122 | 2123 | self.cmapList = cmapList |
|
|
2123 | 2124 | self.titleList = titleList |
|
|
2124 | 2125 | |
|
|
2125 | 2126 | self.FTP_WEI = ftp_wei |
|
|
2126 | 2127 | self.EXP_CODE = exp_code |
|
|
2127 | 2128 | self.SUB_EXP_CODE = sub_exp_code |
|
|
2128 | 2129 | self.PLOT_POS = plot_pos |
|
|
2129 | 2130 | |
|
|
2130 | 2131 | self.isConfig = True |
|
|
2131 | 2132 | |
|
|
2132 | 2133 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
2133 | 2134 | |
|
|
2134 | 2135 | for i in range(self.nplots): |
|
|
2135 | 2136 | title = self.titleList[i] + ": " +str_datetime |
|
|
2136 | 2137 | axes = self.axesList[i] |
|
|
2137 | 2138 | axes.pcolor(x, y, z[i,:].T, |
|
|
2138 | 2139 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], |
|
|
2139 | 2140 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') |
|
|
2140 | 2141 | self.draw() |
|
|
2141 | 2142 | |
|
|
2142 | 2143 | if figfile == None: |
|
|
2143 | 2144 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
2144 | 2145 | name = str_datetime |
|
|
2145 | 2146 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
2146 | 2147 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
|
2147 | 2148 | figfile = self.getFilename(name) |
|
|
2148 | 2149 | |
|
|
2149 | 2150 | self.save(figpath=figpath, |
|
|
2150 | 2151 | figfile=figfile, |
|
|
2151 | 2152 | save=save, |
|
|
2152 | 2153 | ftp=ftp, |
|
|
2153 | 2154 | wr_period=wr_period, |
|
|
2154 | 2155 | thisDatetime=thisDatetime) |
| @@ -1,1584 +1,1609 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 9, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import datetime |
|
|
8 | 8 | import numpy |
|
|
9 | 9 | |
|
|
10 | 10 | import matplotlib.pyplot as plt |
|
|
11 | 11 | |
|
|
12 | 12 | from figure import Figure, isRealtime, isTimeInHourRange |
|
|
13 | 13 | from plotting_codes import * |
|
|
14 | 14 | from matplotlib.pyplot import savefig |
|
|
15 | 15 | |
|
|
16 | 16 | class SpectraPlot(Figure): |
|
|
17 | 17 | |
|
|
18 | 18 | isConfig = None |
|
|
19 | 19 | __nsubplots = None |
|
|
20 | 20 | |
|
|
21 | 21 | WIDTHPROF = None |
|
|
22 | 22 | HEIGHTPROF = None |
|
|
23 | 23 | PREFIX = 'spc' |
|
|
24 | 24 | |
|
|
25 | 25 | def __init__(self, **kwargs): |
|
|
26 | 26 | Figure.__init__(self, **kwargs) |
|
|
27 | 27 | self.isConfig = False |
|
|
28 | 28 | self.__nsubplots = 1 |
|
|
29 | 29 | |
|
|
30 |
self.WIDTH = |
|
|
|
31 |
self.HEIGHT = |
|
|
|
30 | self.WIDTH = 300 | |
|
|
31 | self.HEIGHT = 300 | |
|
|
32 | 32 | self.WIDTHPROF = 120 |
|
|
33 | 33 | self.HEIGHTPROF = 0 |
|
|
34 | 34 | self.counter_imagwr = 0 |
|
|
35 | 35 | |
|
|
36 | 36 | self.PLOT_CODE = SPEC_CODE |
|
|
37 | 37 | |
|
|
38 | 38 | self.FTP_WEI = None |
|
|
39 | 39 | self.EXP_CODE = None |
|
|
40 | 40 | self.SUB_EXP_CODE = None |
|
|
41 | 41 | self.PLOT_POS = None |
|
|
42 | 42 | |
|
|
43 | 43 | self.__xfilter_ena = False |
|
|
44 | 44 | self.__yfilter_ena = False |
|
|
45 | 45 | |
|
|
46 | 46 | self.indice=1 |
|
|
47 | 47 | |
|
|
48 | 48 | def getSubplots(self): |
|
|
49 | 49 | |
|
|
50 | 50 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
|
51 | 51 | nrow = int(self.nplots*1./ncol + 0.9) |
|
|
52 | 52 | |
|
|
53 | 53 | return nrow, ncol |
|
|
54 | 54 | |
|
|
55 | 55 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
56 | 56 | |
|
|
57 | 57 | self.__showprofile = showprofile |
|
|
58 | 58 | self.nplots = nplots |
|
|
59 | 59 | |
|
|
60 | 60 | ncolspan = 1 |
|
|
61 | 61 | colspan = 1 |
|
|
62 | 62 | if showprofile: |
|
|
63 | 63 | ncolspan = 3 |
|
|
64 | 64 | colspan = 2 |
|
|
65 | 65 | self.__nsubplots = 2 |
|
|
66 | 66 | |
|
|
67 | 67 | self.createFigure(id = id, |
|
|
68 | 68 | wintitle = wintitle, |
|
|
69 | 69 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
70 | 70 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
71 | 71 | show=show) |
|
|
72 | 72 | |
|
|
73 | 73 | nrow, ncol = self.getSubplots() |
|
|
74 | 74 | |
|
|
75 | 75 | counter = 0 |
|
|
76 | 76 | for y in range(nrow): |
|
|
77 | 77 | for x in range(ncol): |
|
|
78 | 78 | |
|
|
79 | 79 | if counter >= self.nplots: |
|
|
80 | 80 | break |
|
|
81 | 81 | |
|
|
82 | 82 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
83 | 83 | |
|
|
84 | 84 | if showprofile: |
|
|
85 | 85 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
86 | 86 | |
|
|
87 | 87 | counter += 1 |
|
|
88 | 88 | |
|
|
89 | 89 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
|
90 | 90 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
91 | 91 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
92 | 92 | server=None, folder=None, username=None, password=None, |
|
|
93 | 93 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
|
94 | 94 | xaxis="frequency", colormap='jet', normFactor=None): |
|
|
95 | 95 | |
|
|
96 | 96 | """ |
|
|
97 | 97 | |
|
|
98 | 98 | Input: |
|
|
99 | 99 | dataOut : |
|
|
100 | 100 | id : |
|
|
101 | 101 | wintitle : |
|
|
102 | 102 | channelList : |
|
|
103 | 103 | showProfile : |
|
|
104 | 104 | xmin : None, |
|
|
105 | 105 | xmax : None, |
|
|
106 | 106 | ymin : None, |
|
|
107 | 107 | ymax : None, |
|
|
108 | 108 | zmin : None, |
|
|
109 | 109 | zmax : None |
|
|
110 | 110 | """ |
|
|
111 | 111 | if realtime: |
|
|
112 | 112 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
|
113 | 113 | print 'Skipping this plot function' |
|
|
114 | 114 | return |
|
|
115 | 115 | |
|
|
116 | 116 | if channelList == None: |
|
|
117 | 117 | channelIndexList = dataOut.channelIndexList |
|
|
118 | 118 | else: |
|
|
119 | 119 | channelIndexList = [] |
|
|
120 | 120 | for channel in channelList: |
|
|
121 | 121 | if channel not in dataOut.channelList: |
|
|
122 | 122 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel |
|
|
123 | 123 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
124 | 124 | |
|
|
125 | 125 | if normFactor is None: |
|
|
126 | 126 | factor = dataOut.normFactor |
|
|
127 | 127 | else: |
|
|
128 | 128 | factor = normFactor |
|
|
129 | 129 | if xaxis == "frequency": |
|
|
130 | 130 | x = dataOut.getFreqRange(1)/1000. |
|
|
131 | print '#######################################################' | |
|
|
132 | print 'xlen', len(x) | |
|
|
133 | print x | |
|
|
134 | print '#######################################################' | |
|
|
131 | 135 | xlabel = "Frequency (kHz)" |
|
|
132 | 136 | |
|
|
133 | 137 | elif xaxis == "time": |
|
|
134 | 138 | x = dataOut.getAcfRange(1) |
|
|
135 | 139 | xlabel = "Time (ms)" |
|
|
136 | 140 | |
|
|
137 | 141 | else: |
|
|
138 | 142 | x = dataOut.getVelRange(1) |
|
|
139 | 143 | xlabel = "Velocity (m/s)" |
|
|
140 | 144 | |
|
|
141 | 145 | ylabel = "Range (Km)" |
|
|
142 | 146 | |
|
|
143 | 147 | y = dataOut.getHeiRange() |
|
|
144 | 148 | |
|
|
145 | 149 | z = dataOut.data_spc/factor |
|
|
146 | 150 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
147 | 151 | zdB = 10*numpy.log10(z) |
|
|
148 | 152 | |
|
|
149 | 153 | avg = numpy.average(z, axis=1) |
|
|
150 | 154 | avgdB = 10*numpy.log10(avg) |
|
|
151 | 155 | |
|
|
152 | 156 | noise = dataOut.getNoise()/factor |
|
|
153 | 157 | noisedB = 10*numpy.log10(noise) |
|
|
154 | 158 | |
|
|
155 | 159 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
156 | 160 | title = wintitle + " Spectra" |
|
|
157 | 161 | |
|
|
158 | 162 | |
|
|
159 | 163 | |
|
|
160 | 164 | print 'len de X',len(x), numpy.shape(x), 'len de spc line',len(dataOut.data_spc[1,:,15]), numpy.shape(dataOut.data_spc) |
|
|
161 | 165 | print 'Altura:', y[0], y[1], y[13], y[14], y[10] |
|
|
162 | 166 | #a=z[1,:,15] |
|
|
163 | 167 | |
|
|
164 | 168 | # fig = plt.figure(10+self.indice) |
|
|
165 | 169 | # plt.plot( x[0:128], zdB[0,:,10] ) |
|
|
166 | 170 | # plt.axis([-12, 12, 15, 50]) |
|
|
167 | 171 | # plt.title(" %s" %( '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))) ) |
|
|
168 | 172 | # plt.ylabel('Intensidad [dB]') |
|
|
169 | 173 | # plt.xlabel('Velocidad [m/s]') |
|
|
170 | 174 | # fig.savefig('/home/erick/Documents/Pics/to{}.png'.format(self.indice)) |
|
|
171 | 175 | # |
|
|
172 | 176 | # plt.show() |
|
|
173 | 177 | # |
|
|
174 | 178 | # self.indice=self.indice+1 |
|
|
175 | 179 | |
|
|
176 | 180 | |
|
|
177 | 181 | |
|
|
178 | 182 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
179 | 183 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
180 | 184 | |
|
|
181 | 185 | if not self.isConfig: |
|
|
182 | 186 | |
|
|
183 | 187 | nplots = len(channelIndexList) |
|
|
184 | 188 | |
|
|
185 | 189 | self.setup(id=id, |
|
|
186 | 190 | nplots=nplots, |
|
|
187 | 191 | wintitle=wintitle, |
|
|
188 | 192 | showprofile=showprofile, |
|
|
189 | 193 | show=show) |
|
|
190 | 194 | |
|
|
191 | 195 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
192 | 196 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
193 | 197 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
194 | 198 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
195 | 199 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
|
196 | 200 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
|
197 | 201 | |
|
|
198 | 202 | self.FTP_WEI = ftp_wei |
|
|
199 | 203 | self.EXP_CODE = exp_code |
|
|
200 | 204 | self.SUB_EXP_CODE = sub_exp_code |
|
|
201 | 205 | self.PLOT_POS = plot_pos |
|
|
202 | 206 | |
|
|
203 | 207 | self.isConfig = True |
|
|
204 | 208 | |
|
|
205 | 209 | self.setWinTitle(title) |
|
|
206 | 210 | |
|
|
207 | 211 | for i in range(self.nplots): |
|
|
208 | 212 | index = channelIndexList[i] |
|
|
209 | 213 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
210 | 214 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) |
|
|
211 | 215 | if len(dataOut.beam.codeList) != 0: |
|
|
212 | 216 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) |
|
|
213 | 217 | |
|
|
214 | 218 | axes = self.axesList[i*self.__nsubplots] |
|
|
215 | 219 | axes.pcolor(x, y, zdB[index,:,:], |
|
|
216 | 220 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
217 | 221 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, |
|
|
218 | 222 | ticksize=9, cblabel='') |
|
|
219 | 223 | |
|
|
220 | 224 | if self.__showprofile: |
|
|
221 | 225 | axes = self.axesList[i*self.__nsubplots +1] |
|
|
222 | 226 | axes.pline(avgdB[index,:], y, |
|
|
223 | 227 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
224 | 228 | xlabel='dB', ylabel='', title='', |
|
|
225 | 229 | ytick_visible=False, |
|
|
226 | 230 | grid='x') |
|
|
227 | 231 | |
|
|
228 | 232 | noiseline = numpy.repeat(noisedB[index], len(y)) |
|
|
229 | 233 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
|
230 | 234 | |
|
|
231 | 235 | self.draw() |
|
|
232 | 236 | |
|
|
233 | 237 | if figfile == None: |
|
|
234 | 238 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
235 | 239 | name = str_datetime |
|
|
236 | 240 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
237 | 241 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
|
238 | 242 | figfile = self.getFilename(name) |
|
|
239 | 243 | |
|
|
240 | 244 | self.save(figpath=figpath, |
|
|
241 | 245 | figfile=figfile, |
|
|
242 | 246 | save=save, |
|
|
243 | 247 | ftp=ftp, |
|
|
244 | 248 | wr_period=wr_period, |
|
|
245 | 249 | thisDatetime=thisDatetime) |
|
|
246 | 250 | |
|
|
247 | 251 | |
|
|
248 | 252 | class CrossSpectraPlot(Figure): |
|
|
249 | 253 | |
|
|
250 | 254 | isConfig = None |
|
|
251 | 255 | __nsubplots = None |
|
|
252 | 256 | |
|
|
253 | 257 | WIDTH = None |
|
|
254 | 258 | HEIGHT = None |
|
|
255 | 259 | WIDTHPROF = None |
|
|
256 | 260 | HEIGHTPROF = None |
|
|
257 | 261 | PREFIX = 'cspc' |
|
|
258 | 262 | |
|
|
259 | 263 | def __init__(self, **kwargs): |
|
|
260 | 264 | Figure.__init__(self, **kwargs) |
|
|
261 | 265 | self.isConfig = False |
|
|
262 | 266 | self.__nsubplots = 4 |
|
|
263 | 267 | self.counter_imagwr = 0 |
|
|
264 | 268 | self.WIDTH = 250 |
|
|
265 | 269 | self.HEIGHT = 250 |
|
|
266 | 270 | self.WIDTHPROF = 0 |
|
|
267 | 271 | self.HEIGHTPROF = 0 |
|
|
268 | 272 | |
|
|
269 | 273 | self.PLOT_CODE = CROSS_CODE |
|
|
270 | 274 | self.FTP_WEI = None |
|
|
271 | 275 | self.EXP_CODE = None |
|
|
272 | 276 | self.SUB_EXP_CODE = None |
|
|
273 | 277 | self.PLOT_POS = None |
|
|
274 | 278 | |
|
|
275 | 279 | self.indice=0 |
|
|
276 | 280 | |
|
|
277 | 281 | def getSubplots(self): |
|
|
278 | 282 | |
|
|
279 | 283 | ncol = 4 |
|
|
280 | 284 | nrow = self.nplots |
|
|
281 | 285 | |
|
|
282 | 286 | return nrow, ncol |
|
|
283 | 287 | |
|
|
284 | 288 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
285 | 289 | |
|
|
286 | 290 | self.__showprofile = showprofile |
|
|
287 | 291 | self.nplots = nplots |
|
|
288 | 292 | |
|
|
289 | 293 | ncolspan = 1 |
|
|
290 | 294 | colspan = 1 |
|
|
291 | 295 | |
|
|
292 | 296 | self.createFigure(id = id, |
|
|
293 | 297 | wintitle = wintitle, |
|
|
294 | 298 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
295 | 299 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
296 | 300 | show=True) |
|
|
297 | 301 | |
|
|
298 | 302 | nrow, ncol = self.getSubplots() |
|
|
299 | 303 | |
|
|
300 | 304 | counter = 0 |
|
|
301 | 305 | for y in range(nrow): |
|
|
302 | 306 | for x in range(ncol): |
|
|
303 | 307 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
304 | 308 | |
|
|
305 | 309 | counter += 1 |
|
|
306 | 310 | |
|
|
307 | 311 | def run(self, dataOut, id, wintitle="", pairsList=None, |
|
|
308 | 312 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
309 | 313 | coh_min=None, coh_max=None, phase_min=None, phase_max=None, |
|
|
310 | 314 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
|
311 | 315 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
|
312 | 316 | server=None, folder=None, username=None, password=None, |
|
|
313 | 317 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, |
|
|
314 | 318 | xaxis='frequency'): |
|
|
315 | 319 | |
|
|
316 | 320 | """ |
|
|
317 | 321 | |
|
|
318 | 322 | Input: |
|
|
319 | 323 | dataOut : |
|
|
320 | 324 | id : |
|
|
321 | 325 | wintitle : |
|
|
322 | 326 | channelList : |
|
|
323 | 327 | showProfile : |
|
|
324 | 328 | xmin : None, |
|
|
325 | 329 | xmax : None, |
|
|
326 | 330 | ymin : None, |
|
|
327 | 331 | ymax : None, |
|
|
328 | 332 | zmin : None, |
|
|
329 | 333 | zmax : None |
|
|
330 | 334 | """ |
|
|
331 | 335 | |
|
|
332 | 336 | if pairsList == None: |
|
|
333 | 337 | pairsIndexList = dataOut.pairsIndexList |
|
|
334 | 338 | else: |
|
|
335 | 339 | pairsIndexList = [] |
|
|
336 | 340 | for pair in pairsList: |
|
|
337 | 341 | if pair not in dataOut.pairsList: |
|
|
338 | 342 | raise ValueError, "Pair %s is not in dataOut.pairsList" %str(pair) |
|
|
339 | 343 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|
340 | 344 | |
|
|
341 | 345 | if not pairsIndexList: |
|
|
342 | 346 | return |
|
|
343 | 347 | |
|
|
344 | 348 | if len(pairsIndexList) > 4: |
|
|
345 | 349 | pairsIndexList = pairsIndexList[0:4] |
|
|
346 | 350 | |
|
|
347 | 351 | if normFactor is None: |
|
|
348 | 352 | factor = dataOut.normFactor |
|
|
349 | 353 | else: |
|
|
350 | 354 | factor = normFactor |
|
|
351 | 355 | x = dataOut.getVelRange(1) |
|
|
352 | 356 | y = dataOut.getHeiRange() |
|
|
353 | 357 | z = dataOut.data_spc[:,:,:]/factor |
|
|
354 | 358 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
355 | 359 | |
|
|
356 | 360 | noise = dataOut.noise/factor |
|
|
357 | 361 | |
|
|
358 | 362 | zdB = 10*numpy.log10(z) |
|
|
359 | 363 | noisedB = 10*numpy.log10(noise) |
|
|
360 | 364 | |
|
|
361 | 365 | if coh_min == None: |
|
|
362 | 366 | coh_min = 0.0 |
|
|
363 | 367 | if coh_max == None: |
|
|
364 | 368 | coh_max = 1.0 |
|
|
365 | 369 | |
|
|
366 | 370 | if phase_min == None: |
|
|
367 | 371 | phase_min = -180 |
|
|
368 | 372 | if phase_max == None: |
|
|
369 | 373 | phase_max = 180 |
|
|
370 | 374 | |
|
|
371 | 375 | #thisDatetime = dataOut.datatime |
|
|
372 | 376 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
373 | 377 | title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
374 | 378 | # xlabel = "Velocity (m/s)" |
|
|
375 | 379 | ylabel = "Range (Km)" |
|
|
376 | 380 | |
|
|
377 | 381 | if xaxis == "frequency": |
|
|
378 | 382 | x = dataOut.getFreqRange(1)/1000. |
|
|
379 | 383 | xlabel = "Frequency (kHz)" |
|
|
380 | 384 | |
|
|
381 | 385 | elif xaxis == "time": |
|
|
382 | 386 | x = dataOut.getAcfRange(1) |
|
|
383 | 387 | xlabel = "Time (ms)" |
|
|
384 | 388 | |
|
|
385 | 389 | else: |
|
|
386 | 390 | x = dataOut.getVelRange(1) |
|
|
387 | 391 | xlabel = "Velocity (m/s)" |
|
|
388 | 392 | |
|
|
389 | 393 | if not self.isConfig: |
|
|
390 | 394 | |
|
|
391 | 395 | nplots = len(pairsIndexList) |
|
|
392 | 396 | |
|
|
393 | 397 | self.setup(id=id, |
|
|
394 | 398 | nplots=nplots, |
|
|
395 | 399 | wintitle=wintitle, |
|
|
396 | 400 | showprofile=False, |
|
|
397 | 401 | show=show) |
|
|
398 | 402 | |
|
|
399 | 403 | avg = numpy.abs(numpy.average(z, axis=1)) |
|
|
400 | 404 | avgdB = 10*numpy.log10(avg) |
|
|
401 | 405 | |
|
|
402 | 406 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
403 | 407 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
404 | 408 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
405 | 409 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
406 | 410 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
|
407 | 411 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
|
408 | 412 | |
|
|
409 | 413 | self.FTP_WEI = ftp_wei |
|
|
410 | 414 | self.EXP_CODE = exp_code |
|
|
411 | 415 | self.SUB_EXP_CODE = sub_exp_code |
|
|
412 | 416 | self.PLOT_POS = plot_pos |
|
|
413 | 417 | |
|
|
414 | 418 | self.isConfig = True |
|
|
415 | 419 | |
|
|
416 | 420 | self.setWinTitle(title) |
|
|
417 | 421 | |
|
|
418 | 422 | |
|
|
419 | 423 | for i in range(self.nplots): |
|
|
420 | 424 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|
421 | 425 | |
|
|
422 | 426 | chan_index0 = dataOut.channelList.index(pair[0]) |
|
|
423 | 427 | chan_index1 = dataOut.channelList.index(pair[1]) |
|
|
424 | 428 | |
|
|
425 | 429 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
|
426 | 430 | title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[chan_index0], str_datetime) |
|
|
427 | 431 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index0,:,:]/factor) |
|
|
428 | 432 | axes0 = self.axesList[i*self.__nsubplots] |
|
|
429 | 433 | axes0.pcolor(x, y, zdB, |
|
|
430 | 434 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
431 | 435 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
432 | 436 | ticksize=9, colormap=power_cmap, cblabel='') |
|
|
433 | 437 | |
|
|
434 | 438 | title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[chan_index1], str_datetime) |
|
|
435 | 439 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index1,:,:]/factor) |
|
|
436 | 440 | axes0 = self.axesList[i*self.__nsubplots+1] |
|
|
437 | 441 | axes0.pcolor(x, y, zdB, |
|
|
438 | 442 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
439 | 443 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
440 | 444 | ticksize=9, colormap=power_cmap, cblabel='') |
|
|
441 | 445 | |
|
|
442 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[chan_index0,:,:]*dataOut.data_spc[chan_index1,:,:]) | |
|
|
446 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:] / numpy.sqrt( dataOut.data_spc[chan_index0,:,:]*dataOut.data_spc[chan_index1,:,:] ) | |
|
|
443 | 447 | coherence = numpy.abs(coherenceComplex) |
|
|
444 | 448 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
|
445 | 449 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi |
|
|
446 | 450 | |
|
|
447 | 451 | |
|
|
448 | # print 'FASE', numpy.shape(phase), y[10] | |
|
|
452 | ||
|
|
453 | ||
|
|
454 | # #print 'FASE', numpy.shape(phase), y[25] | |
|
|
449 | 455 | # fig = plt.figure(10+self.indice) |
|
|
450 |
# plt.plot( x[0: |
|
|
|
456 | # #plt.plot( x[0:256],coherence[:,25] ) | |
|
|
457 | # cohAv = numpy.average(coherence,1) | |
|
|
458 | # | |
|
|
459 | # plt.plot( x[0:256],cohAv ) | |
|
|
451 | 460 | # #plt.axis([-12, 12, 15, 50]) |
|
|
452 | 461 | # plt.title("%s" %( '%s %s, Channel %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S") , i))) |
|
|
453 | 462 | # plt.ylabel('Desfase [grados]') |
|
|
454 | 463 | # plt.xlabel('Velocidad [m/s]') |
|
|
455 | 464 | # fig.savefig('/home/erick/Documents/Pics/to{}.png'.format(self.indice)) |
|
|
456 | # | |
|
|
465 | # | |
|
|
466 | # plt.show() | |
|
|
467 | # self.indice=self.indice+1 | |
|
|
468 | ||
|
|
469 | ||
|
|
470 | # print 'FASE', numpy.shape(phase), y[25] | |
|
|
471 | # fig = plt.figure(10+self.indice) | |
|
|
472 | # plt.plot( x[0:256],phase[:,25] ) | |
|
|
473 | # #plt.axis([-12, 12, 15, 50]) | |
|
|
474 | # plt.title("%s" %( '%s %s, Channel %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S") , i))) | |
|
|
475 | # plt.ylabel('Desfase [grados]') | |
|
|
476 | # plt.xlabel('Velocidad [m/s]') | |
|
|
477 | # fig.savefig('/home/erick/Documents/Pics/to{}.png'.format(self.indice)) | |
|
|
478 | # | |
|
|
457 | 479 | # plt.show() |
|
|
458 | 480 | # self.indice=self.indice+1 |
|
|
459 | 481 | |
|
|
482 | ||
|
|
483 | ||
|
|
484 | ||
|
|
460 | 485 | title = "Coherence Ch%d * Ch%d" %(pair[0], pair[1]) |
|
|
461 | 486 | axes0 = self.axesList[i*self.__nsubplots+2] |
|
|
462 | 487 | axes0.pcolor(x, y, coherence, |
|
|
463 | 488 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=coh_min, zmax=coh_max, |
|
|
464 | 489 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
465 | 490 | ticksize=9, colormap=coherence_cmap, cblabel='') |
|
|
466 | 491 | |
|
|
467 | 492 | title = "Phase Ch%d * Ch%d" %(pair[0], pair[1]) |
|
|
468 | 493 | axes0 = self.axesList[i*self.__nsubplots+3] |
|
|
469 | 494 | axes0.pcolor(x, y, phase, |
|
|
470 | 495 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
|
471 | 496 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
|
472 | 497 | ticksize=9, colormap=phase_cmap, cblabel='') |
|
|
473 | 498 | |
|
|
474 | 499 | |
|
|
475 | 500 | |
|
|
476 | 501 | self.draw() |
|
|
477 | 502 | |
|
|
478 | 503 | self.save(figpath=figpath, |
|
|
479 | 504 | figfile=figfile, |
|
|
480 | 505 | save=save, |
|
|
481 | 506 | ftp=ftp, |
|
|
482 | 507 | wr_period=wr_period, |
|
|
483 | 508 | thisDatetime=thisDatetime) |
|
|
484 | 509 | |
|
|
485 | 510 | |
|
|
486 | 511 | class RTIPlot(Figure): |
|
|
487 | 512 | |
|
|
488 | 513 | __isConfig = None |
|
|
489 | 514 | __nsubplots = None |
|
|
490 | 515 | |
|
|
491 | 516 | WIDTHPROF = None |
|
|
492 | 517 | HEIGHTPROF = None |
|
|
493 | 518 | PREFIX = 'rti' |
|
|
494 | 519 | |
|
|
495 | 520 | def __init__(self, **kwargs): |
|
|
496 | 521 | |
|
|
497 | 522 | Figure.__init__(self, **kwargs) |
|
|
498 | 523 | self.timerange = None |
|
|
499 | 524 | self.isConfig = False |
|
|
500 | 525 | self.__nsubplots = 1 |
|
|
501 | 526 | |
|
|
502 | 527 | self.WIDTH = 800 |
|
|
503 |
self.HEIGHT = |
|
|
|
528 | self.HEIGHT = 250 | |
|
|
504 | 529 | self.WIDTHPROF = 120 |
|
|
505 | 530 | self.HEIGHTPROF = 0 |
|
|
506 | 531 | self.counter_imagwr = 0 |
|
|
507 | 532 | |
|
|
508 | 533 | self.PLOT_CODE = RTI_CODE |
|
|
509 | 534 | |
|
|
510 | 535 | self.FTP_WEI = None |
|
|
511 | 536 | self.EXP_CODE = None |
|
|
512 | 537 | self.SUB_EXP_CODE = None |
|
|
513 | 538 | self.PLOT_POS = None |
|
|
514 | 539 | self.tmin = None |
|
|
515 | 540 | self.tmax = None |
|
|
516 | 541 | |
|
|
517 | 542 | self.xmin = None |
|
|
518 | 543 | self.xmax = None |
|
|
519 | 544 | |
|
|
520 | 545 | self.figfile = None |
|
|
521 | 546 | |
|
|
522 | 547 | def getSubplots(self): |
|
|
523 | 548 | |
|
|
524 | 549 | ncol = 1 |
|
|
525 | 550 | nrow = self.nplots |
|
|
526 | 551 | |
|
|
527 | 552 | return nrow, ncol |
|
|
528 | 553 | |
|
|
529 | 554 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
530 | 555 | |
|
|
531 | 556 | self.__showprofile = showprofile |
|
|
532 | 557 | self.nplots = nplots |
|
|
533 | 558 | |
|
|
534 | 559 | ncolspan = 1 |
|
|
535 | 560 | colspan = 1 |
|
|
536 | 561 | if showprofile: |
|
|
537 | 562 | ncolspan = 7 |
|
|
538 | 563 | colspan = 6 |
|
|
539 | 564 | self.__nsubplots = 2 |
|
|
540 | 565 | |
|
|
541 | 566 | self.createFigure(id = id, |
|
|
542 | 567 | wintitle = wintitle, |
|
|
543 | 568 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
544 | 569 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
545 | 570 | show=show) |
|
|
546 | 571 | |
|
|
547 | 572 | nrow, ncol = self.getSubplots() |
|
|
548 | 573 | |
|
|
549 | 574 | counter = 0 |
|
|
550 | 575 | for y in range(nrow): |
|
|
551 | 576 | for x in range(ncol): |
|
|
552 | 577 | |
|
|
553 | 578 | if counter >= self.nplots: |
|
|
554 | 579 | break |
|
|
555 | 580 | |
|
|
556 | 581 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
557 | 582 | |
|
|
558 | 583 | if showprofile: |
|
|
559 | 584 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
560 | 585 | |
|
|
561 | 586 | counter += 1 |
|
|
562 | 587 | |
|
|
563 | 588 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
|
564 | 589 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
565 | 590 | timerange=None, colormap='jet', |
|
|
566 | 591 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
|
567 | 592 | server=None, folder=None, username=None, password=None, |
|
|
568 | 593 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, HEIGHT=None): |
|
|
569 | 594 | |
|
|
570 | 595 | """ |
|
|
571 | 596 | |
|
|
572 | 597 | Input: |
|
|
573 | 598 | dataOut : |
|
|
574 | 599 | id : |
|
|
575 | 600 | wintitle : |
|
|
576 | 601 | channelList : |
|
|
577 | 602 | showProfile : |
|
|
578 | 603 | xmin : None, |
|
|
579 | 604 | xmax : None, |
|
|
580 | 605 | ymin : None, |
|
|
581 | 606 | ymax : None, |
|
|
582 | 607 | zmin : None, |
|
|
583 | 608 | zmax : None |
|
|
584 | 609 | """ |
|
|
585 | 610 | |
|
|
586 | 611 | #colormap = kwargs.get('colormap', 'jet') |
|
|
587 | 612 | if HEIGHT is not None: |
|
|
588 | 613 | self.HEIGHT = HEIGHT |
|
|
589 | 614 | |
|
|
590 | 615 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
591 | 616 | return |
|
|
592 | 617 | |
|
|
593 | 618 | if channelList == None: |
|
|
594 | 619 | channelIndexList = dataOut.channelIndexList |
|
|
595 | 620 | else: |
|
|
596 | 621 | channelIndexList = [] |
|
|
597 | 622 | for channel in channelList: |
|
|
598 | 623 | if channel not in dataOut.channelList: |
|
|
599 | 624 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
600 | 625 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
601 | 626 | |
|
|
602 | 627 | if normFactor is None: |
|
|
603 | 628 | factor = dataOut.normFactor |
|
|
604 | 629 | else: |
|
|
605 | 630 | factor = normFactor |
|
|
606 | 631 | |
|
|
607 | 632 | # factor = dataOut.normFactor |
|
|
608 | 633 | x = dataOut.getTimeRange() |
|
|
609 | 634 | y = dataOut.getHeiRange() |
|
|
610 | 635 | |
|
|
611 | 636 | z = dataOut.data_spc/factor |
|
|
612 | 637 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
613 | 638 | avg = numpy.average(z, axis=1) |
|
|
614 | 639 | avgdB = 10.*numpy.log10(avg) |
|
|
615 | 640 | # avgdB = dataOut.getPower() |
|
|
616 | 641 | |
|
|
617 | 642 | |
|
|
618 | 643 | thisDatetime = dataOut.datatime |
|
|
619 | 644 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
620 | 645 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
621 | 646 | xlabel = "" |
|
|
622 | 647 | ylabel = "Range (Km)" |
|
|
623 | 648 | |
|
|
624 | 649 | update_figfile = False |
|
|
625 | 650 | |
|
|
626 | 651 | if dataOut.ltctime >= self.xmax: |
|
|
627 | 652 | self.counter_imagwr = wr_period |
|
|
628 | 653 | self.isConfig = False |
|
|
629 | 654 | update_figfile = True |
|
|
630 | 655 | |
|
|
631 | 656 | if not self.isConfig: |
|
|
632 | 657 | |
|
|
633 | 658 | nplots = len(channelIndexList) |
|
|
634 | 659 | |
|
|
635 | 660 | self.setup(id=id, |
|
|
636 | 661 | nplots=nplots, |
|
|
637 | 662 | wintitle=wintitle, |
|
|
638 | 663 | showprofile=showprofile, |
|
|
639 | 664 | show=show) |
|
|
640 | 665 | |
|
|
641 | 666 | if timerange != None: |
|
|
642 | 667 | self.timerange = timerange |
|
|
643 | 668 | |
|
|
644 | 669 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
645 | 670 | |
|
|
646 | 671 | noise = dataOut.noise/factor |
|
|
647 | 672 | noisedB = 10*numpy.log10(noise) |
|
|
648 | 673 | |
|
|
649 | 674 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
650 | 675 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
651 | 676 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
|
652 | 677 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
|
653 | 678 | |
|
|
654 | 679 | self.FTP_WEI = ftp_wei |
|
|
655 | 680 | self.EXP_CODE = exp_code |
|
|
656 | 681 | self.SUB_EXP_CODE = sub_exp_code |
|
|
657 | 682 | self.PLOT_POS = plot_pos |
|
|
658 | 683 | |
|
|
659 | 684 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
660 | 685 | self.isConfig = True |
|
|
661 | 686 | self.figfile = figfile |
|
|
662 | 687 | update_figfile = True |
|
|
663 | 688 | |
|
|
664 | 689 | self.setWinTitle(title) |
|
|
665 | 690 | |
|
|
666 | 691 | for i in range(self.nplots): |
|
|
667 | 692 | index = channelIndexList[i] |
|
|
668 | 693 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
669 | 694 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
|
670 | 695 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
|
671 | 696 | axes = self.axesList[i*self.__nsubplots] |
|
|
672 | 697 | zdB = avgdB[index].reshape((1,-1)) |
|
|
673 | 698 | axes.pcolorbuffer(x, y, zdB, |
|
|
674 | 699 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
675 | 700 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
676 | 701 | ticksize=9, cblabel='', cbsize="1%", colormap=colormap) |
|
|
677 | 702 | |
|
|
678 | 703 | if self.__showprofile: |
|
|
679 | 704 | axes = self.axesList[i*self.__nsubplots +1] |
|
|
680 | 705 | axes.pline(avgdB[index], y, |
|
|
681 | 706 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
682 | 707 | xlabel='dB', ylabel='', title='', |
|
|
683 | 708 | ytick_visible=False, |
|
|
684 | 709 | grid='x') |
|
|
685 | 710 | |
|
|
686 | 711 | self.draw() |
|
|
687 | 712 | |
|
|
688 | 713 | self.save(figpath=figpath, |
|
|
689 | 714 | figfile=figfile, |
|
|
690 | 715 | save=save, |
|
|
691 | 716 | ftp=ftp, |
|
|
692 | 717 | wr_period=wr_period, |
|
|
693 | 718 | thisDatetime=thisDatetime, |
|
|
694 | 719 | update_figfile=update_figfile) |
|
|
695 | 720 | |
|
|
696 | 721 | class CoherenceMap(Figure): |
|
|
697 | 722 | isConfig = None |
|
|
698 | 723 | __nsubplots = None |
|
|
699 | 724 | |
|
|
700 | 725 | WIDTHPROF = None |
|
|
701 | 726 | HEIGHTPROF = None |
|
|
702 | 727 | PREFIX = 'cmap' |
|
|
703 | 728 | |
|
|
704 | 729 | def __init__(self, **kwargs): |
|
|
705 | 730 | Figure.__init__(self, **kwargs) |
|
|
706 | 731 | self.timerange = 2*60*60 |
|
|
707 | 732 | self.isConfig = False |
|
|
708 | 733 | self.__nsubplots = 1 |
|
|
709 | 734 | |
|
|
710 | 735 | self.WIDTH = 800 |
|
|
711 | 736 | self.HEIGHT = 180 |
|
|
712 | 737 | self.WIDTHPROF = 120 |
|
|
713 | 738 | self.HEIGHTPROF = 0 |
|
|
714 | 739 | self.counter_imagwr = 0 |
|
|
715 | 740 | |
|
|
716 | 741 | self.PLOT_CODE = COH_CODE |
|
|
717 | 742 | |
|
|
718 | 743 | self.FTP_WEI = None |
|
|
719 | 744 | self.EXP_CODE = None |
|
|
720 | 745 | self.SUB_EXP_CODE = None |
|
|
721 | 746 | self.PLOT_POS = None |
|
|
722 | 747 | self.counter_imagwr = 0 |
|
|
723 | 748 | |
|
|
724 | 749 | self.xmin = None |
|
|
725 | 750 | self.xmax = None |
|
|
726 | 751 | |
|
|
727 | 752 | def getSubplots(self): |
|
|
728 | 753 | ncol = 1 |
|
|
729 | 754 | nrow = self.nplots*2 |
|
|
730 | 755 | |
|
|
731 | 756 | return nrow, ncol |
|
|
732 | 757 | |
|
|
733 | 758 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
734 | 759 | self.__showprofile = showprofile |
|
|
735 | 760 | self.nplots = nplots |
|
|
736 | 761 | |
|
|
737 | 762 | ncolspan = 1 |
|
|
738 | 763 | colspan = 1 |
|
|
739 | 764 | if showprofile: |
|
|
740 | 765 | ncolspan = 7 |
|
|
741 | 766 | colspan = 6 |
|
|
742 | 767 | self.__nsubplots = 2 |
|
|
743 | 768 | |
|
|
744 | 769 | self.createFigure(id = id, |
|
|
745 | 770 | wintitle = wintitle, |
|
|
746 | 771 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
|
747 | 772 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
|
748 | 773 | show=True) |
|
|
749 | 774 | |
|
|
750 | 775 | nrow, ncol = self.getSubplots() |
|
|
751 | 776 | |
|
|
752 | 777 | for y in range(nrow): |
|
|
753 | 778 | for x in range(ncol): |
|
|
754 | 779 | |
|
|
755 | 780 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
756 | 781 | |
|
|
757 | 782 | if showprofile: |
|
|
758 | 783 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
|
759 | 784 | |
|
|
760 | 785 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|
761 | 786 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
|
762 | 787 | timerange=None, phase_min=None, phase_max=None, |
|
|
763 | 788 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
|
764 | 789 | coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
|
765 | 790 | server=None, folder=None, username=None, password=None, |
|
|
766 | 791 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
767 | 792 | |
|
|
768 | 793 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
769 | 794 | return |
|
|
770 | 795 | |
|
|
771 | 796 | if pairsList == None: |
|
|
772 | 797 | pairsIndexList = dataOut.pairsIndexList |
|
|
773 | 798 | else: |
|
|
774 | 799 | pairsIndexList = [] |
|
|
775 | 800 | for pair in pairsList: |
|
|
776 | 801 | if pair not in dataOut.pairsList: |
|
|
777 | 802 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
|
778 | 803 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|
779 | 804 | |
|
|
780 | 805 | if pairsIndexList == []: |
|
|
781 | 806 | return |
|
|
782 | 807 | |
|
|
783 | 808 | if len(pairsIndexList) > 4: |
|
|
784 | 809 | pairsIndexList = pairsIndexList[0:4] |
|
|
785 | 810 | |
|
|
786 | 811 | if phase_min == None: |
|
|
787 | 812 | phase_min = -180 |
|
|
788 | 813 | if phase_max == None: |
|
|
789 | 814 | phase_max = 180 |
|
|
790 | 815 | |
|
|
791 | 816 | x = dataOut.getTimeRange() |
|
|
792 | 817 | y = dataOut.getHeiRange() |
|
|
793 | 818 | |
|
|
794 | 819 | thisDatetime = dataOut.datatime |
|
|
795 | 820 | |
|
|
796 | 821 | title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
797 | 822 | xlabel = "" |
|
|
798 | 823 | ylabel = "Range (Km)" |
|
|
799 | 824 | update_figfile = False |
|
|
800 | 825 | |
|
|
801 | 826 | if not self.isConfig: |
|
|
802 | 827 | nplots = len(pairsIndexList) |
|
|
803 | 828 | self.setup(id=id, |
|
|
804 | 829 | nplots=nplots, |
|
|
805 | 830 | wintitle=wintitle, |
|
|
806 | 831 | showprofile=showprofile, |
|
|
807 | 832 | show=show) |
|
|
808 | 833 | |
|
|
809 | 834 | if timerange != None: |
|
|
810 | 835 | self.timerange = timerange |
|
|
811 | 836 | |
|
|
812 | 837 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
813 | 838 | |
|
|
814 | 839 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
815 | 840 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
816 | 841 | if zmin == None: zmin = 0. |
|
|
817 | 842 | if zmax == None: zmax = 1. |
|
|
818 | 843 | |
|
|
819 | 844 | self.FTP_WEI = ftp_wei |
|
|
820 | 845 | self.EXP_CODE = exp_code |
|
|
821 | 846 | self.SUB_EXP_CODE = sub_exp_code |
|
|
822 | 847 | self.PLOT_POS = plot_pos |
|
|
823 | 848 | |
|
|
824 | 849 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
825 | 850 | |
|
|
826 | 851 | self.isConfig = True |
|
|
827 | 852 | update_figfile = True |
|
|
828 | 853 | |
|
|
829 | 854 | self.setWinTitle(title) |
|
|
830 | 855 | |
|
|
831 | 856 | for i in range(self.nplots): |
|
|
832 | 857 | |
|
|
833 | 858 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|
834 | 859 | |
|
|
835 | 860 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) |
|
|
836 | 861 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) |
|
|
837 | 862 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) |
|
|
838 | 863 | |
|
|
839 | 864 | |
|
|
840 | 865 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
|
841 | 866 | coherence = numpy.abs(avgcoherenceComplex) |
|
|
842 | 867 | |
|
|
843 | 868 | z = coherence.reshape((1,-1)) |
|
|
844 | 869 | |
|
|
845 | 870 | counter = 0 |
|
|
846 | 871 | |
|
|
847 | 872 | title = "Coherence Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
848 | 873 | axes = self.axesList[i*self.__nsubplots*2] |
|
|
849 | 874 | axes.pcolorbuffer(x, y, z, |
|
|
850 | 875 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
|
851 | 876 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
852 | 877 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") |
|
|
853 | 878 | |
|
|
854 | 879 | if self.__showprofile: |
|
|
855 | 880 | counter += 1 |
|
|
856 | 881 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
|
857 | 882 | axes.pline(coherence, y, |
|
|
858 | 883 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
|
859 | 884 | xlabel='', ylabel='', title='', ticksize=7, |
|
|
860 | 885 | ytick_visible=False, nxticks=5, |
|
|
861 | 886 | grid='x') |
|
|
862 | 887 | |
|
|
863 | 888 | counter += 1 |
|
|
864 | 889 | |
|
|
865 | 890 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
|
866 | 891 | |
|
|
867 | 892 | z = phase.reshape((1,-1)) |
|
|
868 | 893 | |
|
|
869 | 894 | title = "Phase Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
870 | 895 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
|
871 | 896 | axes.pcolorbuffer(x, y, z, |
|
|
872 | 897 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
|
873 | 898 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
|
874 | 899 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") |
|
|
875 | 900 | |
|
|
876 | 901 | if self.__showprofile: |
|
|
877 | 902 | counter += 1 |
|
|
878 | 903 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
|
879 | 904 | axes.pline(phase, y, |
|
|
880 | 905 | xmin=phase_min, xmax=phase_max, ymin=ymin, ymax=ymax, |
|
|
881 | 906 | xlabel='', ylabel='', title='', ticksize=7, |
|
|
882 | 907 | ytick_visible=False, nxticks=4, |
|
|
883 | 908 | grid='x') |
|
|
884 | 909 | |
|
|
885 | 910 | self.draw() |
|
|
886 | 911 | |
|
|
887 | 912 | if dataOut.ltctime >= self.xmax: |
|
|
888 | 913 | self.counter_imagwr = wr_period |
|
|
889 | 914 | self.isConfig = False |
|
|
890 | 915 | update_figfile = True |
|
|
891 | 916 | |
|
|
892 | 917 | self.save(figpath=figpath, |
|
|
893 | 918 | figfile=figfile, |
|
|
894 | 919 | save=save, |
|
|
895 | 920 | ftp=ftp, |
|
|
896 | 921 | wr_period=wr_period, |
|
|
897 | 922 | thisDatetime=thisDatetime, |
|
|
898 | 923 | update_figfile=update_figfile) |
|
|
899 | 924 | |
|
|
900 | 925 | class PowerProfilePlot(Figure): |
|
|
901 | 926 | |
|
|
902 | 927 | isConfig = None |
|
|
903 | 928 | __nsubplots = None |
|
|
904 | 929 | |
|
|
905 | 930 | WIDTHPROF = None |
|
|
906 | 931 | HEIGHTPROF = None |
|
|
907 | 932 | PREFIX = 'spcprofile' |
|
|
908 | 933 | |
|
|
909 | 934 | def __init__(self, **kwargs): |
|
|
910 | 935 | Figure.__init__(self, **kwargs) |
|
|
911 | 936 | self.isConfig = False |
|
|
912 | 937 | self.__nsubplots = 1 |
|
|
913 | 938 | |
|
|
914 | 939 | self.PLOT_CODE = POWER_CODE |
|
|
915 | 940 | |
|
|
916 | 941 | self.WIDTH = 300 |
|
|
917 | 942 | self.HEIGHT = 500 |
|
|
918 | 943 | self.counter_imagwr = 0 |
|
|
919 | 944 | |
|
|
920 | 945 | def getSubplots(self): |
|
|
921 | 946 | ncol = 1 |
|
|
922 | 947 | nrow = 1 |
|
|
923 | 948 | |
|
|
924 | 949 | return nrow, ncol |
|
|
925 | 950 | |
|
|
926 | 951 | def setup(self, id, nplots, wintitle, show): |
|
|
927 | 952 | |
|
|
928 | 953 | self.nplots = nplots |
|
|
929 | 954 | |
|
|
930 | 955 | ncolspan = 1 |
|
|
931 | 956 | colspan = 1 |
|
|
932 | 957 | |
|
|
933 | 958 | self.createFigure(id = id, |
|
|
934 | 959 | wintitle = wintitle, |
|
|
935 | 960 | widthplot = self.WIDTH, |
|
|
936 | 961 | heightplot = self.HEIGHT, |
|
|
937 | 962 | show=show) |
|
|
938 | 963 | |
|
|
939 | 964 | nrow, ncol = self.getSubplots() |
|
|
940 | 965 | |
|
|
941 | 966 | counter = 0 |
|
|
942 | 967 | for y in range(nrow): |
|
|
943 | 968 | for x in range(ncol): |
|
|
944 | 969 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
945 | 970 | |
|
|
946 | 971 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|
947 | 972 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
948 | 973 | save=False, figpath='./', figfile=None, show=True, |
|
|
949 | 974 | ftp=False, wr_period=1, server=None, |
|
|
950 | 975 | folder=None, username=None, password=None): |
|
|
951 | 976 | |
|
|
952 | 977 | |
|
|
953 | 978 | if channelList == None: |
|
|
954 | 979 | channelIndexList = dataOut.channelIndexList |
|
|
955 | 980 | channelList = dataOut.channelList |
|
|
956 | 981 | else: |
|
|
957 | 982 | channelIndexList = [] |
|
|
958 | 983 | for channel in channelList: |
|
|
959 | 984 | if channel not in dataOut.channelList: |
|
|
960 | 985 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
961 | 986 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
962 | 987 | |
|
|
963 | 988 | factor = dataOut.normFactor |
|
|
964 | 989 | |
|
|
965 | 990 | y = dataOut.getHeiRange() |
|
|
966 | 991 | |
|
|
967 | 992 | #for voltage |
|
|
968 | 993 | if dataOut.type == 'Voltage': |
|
|
969 | 994 | x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
|
970 | 995 | x = x.real |
|
|
971 | 996 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
|
972 | 997 | |
|
|
973 | 998 | #for spectra |
|
|
974 | 999 | if dataOut.type == 'Spectra': |
|
|
975 | 1000 | x = dataOut.data_spc[channelIndexList,:,:]/factor |
|
|
976 | 1001 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
|
977 | 1002 | x = numpy.average(x, axis=1) |
|
|
978 | 1003 | |
|
|
979 | 1004 | |
|
|
980 | 1005 | xdB = 10*numpy.log10(x) |
|
|
981 | 1006 | |
|
|
982 | 1007 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
983 | 1008 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
984 | 1009 | xlabel = "dB" |
|
|
985 | 1010 | ylabel = "Range (Km)" |
|
|
986 | 1011 | |
|
|
987 | 1012 | if not self.isConfig: |
|
|
988 | 1013 | |
|
|
989 | 1014 | nplots = 1 |
|
|
990 | 1015 | |
|
|
991 | 1016 | self.setup(id=id, |
|
|
992 | 1017 | nplots=nplots, |
|
|
993 | 1018 | wintitle=wintitle, |
|
|
994 | 1019 | show=show) |
|
|
995 | 1020 | |
|
|
996 | 1021 | if ymin == None: ymin = numpy.nanmin(y) |
|
|
997 | 1022 | if ymax == None: ymax = numpy.nanmax(y) |
|
|
998 | 1023 | if xmin == None: xmin = numpy.nanmin(xdB)*0.9 |
|
|
999 | 1024 | if xmax == None: xmax = numpy.nanmax(xdB)*1.1 |
|
|
1000 | 1025 | |
|
|
1001 | 1026 | self.isConfig = True |
|
|
1002 | 1027 | |
|
|
1003 | 1028 | self.setWinTitle(title) |
|
|
1004 | 1029 | |
|
|
1005 | 1030 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
1006 | 1031 | axes = self.axesList[0] |
|
|
1007 | 1032 | |
|
|
1008 | 1033 | legendlabels = ["channel %d"%x for x in channelList] |
|
|
1009 | 1034 | axes.pmultiline(xdB, y, |
|
|
1010 | 1035 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
1011 | 1036 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
|
1012 | 1037 | ytick_visible=True, nxticks=5, |
|
|
1013 | 1038 | grid='x') |
|
|
1014 | 1039 | |
|
|
1015 | 1040 | self.draw() |
|
|
1016 | 1041 | |
|
|
1017 | 1042 | self.save(figpath=figpath, |
|
|
1018 | 1043 | figfile=figfile, |
|
|
1019 | 1044 | save=save, |
|
|
1020 | 1045 | ftp=ftp, |
|
|
1021 | 1046 | wr_period=wr_period, |
|
|
1022 | 1047 | thisDatetime=thisDatetime) |
|
|
1023 | 1048 | |
|
|
1024 | 1049 | class SpectraCutPlot(Figure): |
|
|
1025 | 1050 | |
|
|
1026 | 1051 | isConfig = None |
|
|
1027 | 1052 | __nsubplots = None |
|
|
1028 | 1053 | |
|
|
1029 | 1054 | WIDTHPROF = None |
|
|
1030 | 1055 | HEIGHTPROF = None |
|
|
1031 | 1056 | PREFIX = 'spc_cut' |
|
|
1032 | 1057 | |
|
|
1033 | 1058 | def __init__(self, **kwargs): |
|
|
1034 | 1059 | Figure.__init__(self, **kwargs) |
|
|
1035 | 1060 | self.isConfig = False |
|
|
1036 | 1061 | self.__nsubplots = 1 |
|
|
1037 | 1062 | |
|
|
1038 | 1063 | self.PLOT_CODE = POWER_CODE |
|
|
1039 | 1064 | |
|
|
1040 | 1065 | self.WIDTH = 700 |
|
|
1041 | 1066 | self.HEIGHT = 500 |
|
|
1042 | 1067 | self.counter_imagwr = 0 |
|
|
1043 | 1068 | |
|
|
1044 | 1069 | def getSubplots(self): |
|
|
1045 | 1070 | ncol = 1 |
|
|
1046 | 1071 | nrow = 1 |
|
|
1047 | 1072 | |
|
|
1048 | 1073 | return nrow, ncol |
|
|
1049 | 1074 | |
|
|
1050 | 1075 | def setup(self, id, nplots, wintitle, show): |
|
|
1051 | 1076 | |
|
|
1052 | 1077 | self.nplots = nplots |
|
|
1053 | 1078 | |
|
|
1054 | 1079 | ncolspan = 1 |
|
|
1055 | 1080 | colspan = 1 |
|
|
1056 | 1081 | |
|
|
1057 | 1082 | self.createFigure(id = id, |
|
|
1058 | 1083 | wintitle = wintitle, |
|
|
1059 | 1084 | widthplot = self.WIDTH, |
|
|
1060 | 1085 | heightplot = self.HEIGHT, |
|
|
1061 | 1086 | show=show) |
|
|
1062 | 1087 | |
|
|
1063 | 1088 | nrow, ncol = self.getSubplots() |
|
|
1064 | 1089 | |
|
|
1065 | 1090 | counter = 0 |
|
|
1066 | 1091 | for y in range(nrow): |
|
|
1067 | 1092 | for x in range(ncol): |
|
|
1068 | 1093 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
|
1069 | 1094 | |
|
|
1070 | 1095 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|
1071 | 1096 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
1072 | 1097 | save=False, figpath='./', figfile=None, show=True, |
|
|
1073 | 1098 | ftp=False, wr_period=1, server=None, |
|
|
1074 | 1099 | folder=None, username=None, password=None, |
|
|
1075 | 1100 | xaxis="frequency"): |
|
|
1076 | 1101 | |
|
|
1077 | 1102 | |
|
|
1078 | 1103 | if channelList == None: |
|
|
1079 | 1104 | channelIndexList = dataOut.channelIndexList |
|
|
1080 | 1105 | channelList = dataOut.channelList |
|
|
1081 | 1106 | else: |
|
|
1082 | 1107 | channelIndexList = [] |
|
|
1083 | 1108 | for channel in channelList: |
|
|
1084 | 1109 | if channel not in dataOut.channelList: |
|
|
1085 | 1110 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
1086 | 1111 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
1087 | 1112 | |
|
|
1088 | 1113 | factor = dataOut.normFactor |
|
|
1089 | 1114 | |
|
|
1090 | 1115 | y = dataOut.getHeiRange() |
|
|
1091 | 1116 | |
|
|
1092 | 1117 | z = dataOut.data_spc/factor |
|
|
1093 | 1118 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
1094 | 1119 | |
|
|
1095 | 1120 | hei_index = numpy.arange(25)*3 + 20 |
|
|
1096 | 1121 | |
|
|
1097 | 1122 | if xaxis == "frequency": |
|
|
1098 | 1123 | x = dataOut.getFreqRange()/1000. |
|
|
1099 | 1124 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
|
1100 | 1125 | xlabel = "Frequency (kHz)" |
|
|
1101 | 1126 | ylabel = "Power (dB)" |
|
|
1102 | 1127 | |
|
|
1103 | 1128 | elif xaxis == "time": |
|
|
1104 | 1129 | x = dataOut.getAcfRange() |
|
|
1105 | 1130 | zdB = z[0,:,hei_index] |
|
|
1106 | 1131 | xlabel = "Time (ms)" |
|
|
1107 | 1132 | ylabel = "ACF" |
|
|
1108 | 1133 | |
|
|
1109 | 1134 | else: |
|
|
1110 | 1135 | x = dataOut.getVelRange() |
|
|
1111 | 1136 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
|
1112 | 1137 | xlabel = "Velocity (m/s)" |
|
|
1113 | 1138 | ylabel = "Power (dB)" |
|
|
1114 | 1139 | |
|
|
1115 | 1140 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
1116 | 1141 | title = wintitle + " Range Cuts %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1117 | 1142 | |
|
|
1118 | 1143 | if not self.isConfig: |
|
|
1119 | 1144 | |
|
|
1120 | 1145 | nplots = 1 |
|
|
1121 | 1146 | |
|
|
1122 | 1147 | self.setup(id=id, |
|
|
1123 | 1148 | nplots=nplots, |
|
|
1124 | 1149 | wintitle=wintitle, |
|
|
1125 | 1150 | show=show) |
|
|
1126 | 1151 | |
|
|
1127 | 1152 | if xmin == None: xmin = numpy.nanmin(x)*0.9 |
|
|
1128 | 1153 | if xmax == None: xmax = numpy.nanmax(x)*1.1 |
|
|
1129 | 1154 | if ymin == None: ymin = numpy.nanmin(zdB) |
|
|
1130 | 1155 | if ymax == None: ymax = numpy.nanmax(zdB) |
|
|
1131 | 1156 | |
|
|
1132 | 1157 | self.isConfig = True |
|
|
1133 | 1158 | |
|
|
1134 | 1159 | self.setWinTitle(title) |
|
|
1135 | 1160 | |
|
|
1136 | 1161 | title = "Spectra Cuts: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
1137 | 1162 | axes = self.axesList[0] |
|
|
1138 | 1163 | |
|
|
1139 | 1164 | legendlabels = ["Range = %dKm" %y[i] for i in hei_index] |
|
|
1140 | 1165 | |
|
|
1141 | 1166 | axes.pmultilineyaxis( x, zdB, |
|
|
1142 | 1167 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
1143 | 1168 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
|
1144 | 1169 | ytick_visible=True, nxticks=5, |
|
|
1145 | 1170 | grid='x') |
|
|
1146 | 1171 | |
|
|
1147 | 1172 | self.draw() |
|
|
1148 | 1173 | |
|
|
1149 | 1174 | self.save(figpath=figpath, |
|
|
1150 | 1175 | figfile=figfile, |
|
|
1151 | 1176 | save=save, |
|
|
1152 | 1177 | ftp=ftp, |
|
|
1153 | 1178 | wr_period=wr_period, |
|
|
1154 | 1179 | thisDatetime=thisDatetime) |
|
|
1155 | 1180 | |
|
|
1156 | 1181 | class Noise(Figure): |
|
|
1157 | 1182 | |
|
|
1158 | 1183 | isConfig = None |
|
|
1159 | 1184 | __nsubplots = None |
|
|
1160 | 1185 | |
|
|
1161 | 1186 | PREFIX = 'noise' |
|
|
1162 | 1187 | |
|
|
1163 | 1188 | |
|
|
1164 | 1189 | def __init__(self, **kwargs): |
|
|
1165 | 1190 | Figure.__init__(self, **kwargs) |
|
|
1166 | 1191 | self.timerange = 24*60*60 |
|
|
1167 | 1192 | self.isConfig = False |
|
|
1168 | 1193 | self.__nsubplots = 1 |
|
|
1169 | 1194 | self.counter_imagwr = 0 |
|
|
1170 | 1195 | self.WIDTH = 800 |
|
|
1171 | 1196 | self.HEIGHT = 400 |
|
|
1172 | 1197 | self.WIDTHPROF = 120 |
|
|
1173 | 1198 | self.HEIGHTPROF = 0 |
|
|
1174 | 1199 | self.xdata = None |
|
|
1175 | 1200 | self.ydata = None |
|
|
1176 | 1201 | |
|
|
1177 | 1202 | self.PLOT_CODE = NOISE_CODE |
|
|
1178 | 1203 | |
|
|
1179 | 1204 | self.FTP_WEI = None |
|
|
1180 | 1205 | self.EXP_CODE = None |
|
|
1181 | 1206 | self.SUB_EXP_CODE = None |
|
|
1182 | 1207 | self.PLOT_POS = None |
|
|
1183 | 1208 | self.figfile = None |
|
|
1184 | 1209 | |
|
|
1185 | 1210 | self.xmin = None |
|
|
1186 | 1211 | self.xmax = None |
|
|
1187 | 1212 | |
|
|
1188 | 1213 | def getSubplots(self): |
|
|
1189 | 1214 | |
|
|
1190 | 1215 | ncol = 1 |
|
|
1191 | 1216 | nrow = 1 |
|
|
1192 | 1217 | |
|
|
1193 | 1218 | return nrow, ncol |
|
|
1194 | 1219 | |
|
|
1195 | 1220 | def openfile(self, filename): |
|
|
1196 | 1221 | dirname = os.path.dirname(filename) |
|
|
1197 | 1222 | |
|
|
1198 | 1223 | if not os.path.exists(dirname): |
|
|
1199 | 1224 | os.mkdir(dirname) |
|
|
1200 | 1225 | |
|
|
1201 | 1226 | f = open(filename,'w+') |
|
|
1202 | 1227 | f.write('\n\n') |
|
|
1203 | 1228 | f.write('JICAMARCA RADIO OBSERVATORY - Noise \n') |
|
|
1204 | 1229 | f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' ) |
|
|
1205 | 1230 | f.close() |
|
|
1206 | 1231 | |
|
|
1207 | 1232 | def save_data(self, filename_phase, data, data_datetime): |
|
|
1208 | 1233 | |
|
|
1209 | 1234 | f=open(filename_phase,'a') |
|
|
1210 | 1235 | |
|
|
1211 | 1236 | timetuple_data = data_datetime.timetuple() |
|
|
1212 | 1237 | day = str(timetuple_data.tm_mday) |
|
|
1213 | 1238 | month = str(timetuple_data.tm_mon) |
|
|
1214 | 1239 | year = str(timetuple_data.tm_year) |
|
|
1215 | 1240 | hour = str(timetuple_data.tm_hour) |
|
|
1216 | 1241 | minute = str(timetuple_data.tm_min) |
|
|
1217 | 1242 | second = str(timetuple_data.tm_sec) |
|
|
1218 | 1243 | |
|
|
1219 | 1244 | data_msg = '' |
|
|
1220 | 1245 | for i in range(len(data)): |
|
|
1221 | 1246 | data_msg += str(data[i]) + ' ' |
|
|
1222 | 1247 | |
|
|
1223 | 1248 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' ' + data_msg + '\n') |
|
|
1224 | 1249 | f.close() |
|
|
1225 | 1250 | |
|
|
1226 | 1251 | |
|
|
1227 | 1252 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1228 | 1253 | |
|
|
1229 | 1254 | self.__showprofile = showprofile |
|
|
1230 | 1255 | self.nplots = nplots |
|
|
1231 | 1256 | |
|
|
1232 | 1257 | ncolspan = 7 |
|
|
1233 | 1258 | colspan = 6 |
|
|
1234 | 1259 | self.__nsubplots = 2 |
|
|
1235 | 1260 | |
|
|
1236 | 1261 | self.createFigure(id = id, |
|
|
1237 | 1262 | wintitle = wintitle, |
|
|
1238 | 1263 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|
1239 | 1264 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|
1240 | 1265 | show=show) |
|
|
1241 | 1266 | |
|
|
1242 | 1267 | nrow, ncol = self.getSubplots() |
|
|
1243 | 1268 | |
|
|
1244 | 1269 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|
1245 | 1270 | |
|
|
1246 | 1271 | |
|
|
1247 | 1272 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
|
1248 | 1273 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
|
1249 | 1274 | timerange=None, |
|
|
1250 | 1275 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1251 | 1276 | server=None, folder=None, username=None, password=None, |
|
|
1252 | 1277 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1253 | 1278 | |
|
|
1254 | 1279 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
1255 | 1280 | return |
|
|
1256 | 1281 | |
|
|
1257 | 1282 | if channelList == None: |
|
|
1258 | 1283 | channelIndexList = dataOut.channelIndexList |
|
|
1259 | 1284 | channelList = dataOut.channelList |
|
|
1260 | 1285 | else: |
|
|
1261 | 1286 | channelIndexList = [] |
|
|
1262 | 1287 | for channel in channelList: |
|
|
1263 | 1288 | if channel not in dataOut.channelList: |
|
|
1264 | 1289 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
1265 | 1290 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
1266 | 1291 | |
|
|
1267 | 1292 | x = dataOut.getTimeRange() |
|
|
1268 | 1293 | #y = dataOut.getHeiRange() |
|
|
1269 | 1294 | factor = dataOut.normFactor |
|
|
1270 | 1295 | noise = dataOut.noise[channelIndexList]/factor |
|
|
1271 | 1296 | noisedB = 10*numpy.log10(noise) |
|
|
1272 | 1297 | |
|
|
1273 | 1298 | thisDatetime = dataOut.datatime |
|
|
1274 | 1299 | |
|
|
1275 | 1300 | title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1276 | 1301 | xlabel = "" |
|
|
1277 | 1302 | ylabel = "Intensity (dB)" |
|
|
1278 | 1303 | update_figfile = False |
|
|
1279 | 1304 | |
|
|
1280 | 1305 | if not self.isConfig: |
|
|
1281 | 1306 | |
|
|
1282 | 1307 | nplots = 1 |
|
|
1283 | 1308 | |
|
|
1284 | 1309 | self.setup(id=id, |
|
|
1285 | 1310 | nplots=nplots, |
|
|
1286 | 1311 | wintitle=wintitle, |
|
|
1287 | 1312 | showprofile=showprofile, |
|
|
1288 | 1313 | show=show) |
|
|
1289 | 1314 | |
|
|
1290 | 1315 | if timerange != None: |
|
|
1291 | 1316 | self.timerange = timerange |
|
|
1292 | 1317 | |
|
|
1293 | 1318 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1294 | 1319 | |
|
|
1295 | 1320 | if ymin == None: ymin = numpy.floor(numpy.nanmin(noisedB)) - 10.0 |
|
|
1296 | 1321 | if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0 |
|
|
1297 | 1322 | |
|
|
1298 | 1323 | self.FTP_WEI = ftp_wei |
|
|
1299 | 1324 | self.EXP_CODE = exp_code |
|
|
1300 | 1325 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1301 | 1326 | self.PLOT_POS = plot_pos |
|
|
1302 | 1327 | |
|
|
1303 | 1328 | |
|
|
1304 | 1329 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1305 | 1330 | self.isConfig = True |
|
|
1306 | 1331 | self.figfile = figfile |
|
|
1307 | 1332 | self.xdata = numpy.array([]) |
|
|
1308 | 1333 | self.ydata = numpy.array([]) |
|
|
1309 | 1334 | |
|
|
1310 | 1335 | update_figfile = True |
|
|
1311 | 1336 | |
|
|
1312 | 1337 | #open file beacon phase |
|
|
1313 | 1338 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|
1314 | 1339 | noise_file = os.path.join(path,'%s.txt'%self.name) |
|
|
1315 | 1340 | self.filename_noise = os.path.join(figpath,noise_file) |
|
|
1316 | 1341 | |
|
|
1317 | 1342 | self.setWinTitle(title) |
|
|
1318 | 1343 | |
|
|
1319 | 1344 | title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1320 | 1345 | |
|
|
1321 | 1346 | legendlabels = ["channel %d"%(idchannel) for idchannel in channelList] |
|
|
1322 | 1347 | axes = self.axesList[0] |
|
|
1323 | 1348 | |
|
|
1324 | 1349 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|
1325 | 1350 | |
|
|
1326 | 1351 | if len(self.ydata)==0: |
|
|
1327 | 1352 | self.ydata = noisedB.reshape(-1,1) |
|
|
1328 | 1353 | else: |
|
|
1329 | 1354 | self.ydata = numpy.hstack((self.ydata, noisedB.reshape(-1,1))) |
|
|
1330 | 1355 | |
|
|
1331 | 1356 | |
|
|
1332 | 1357 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|
1333 | 1358 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
|
1334 | 1359 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|
1335 | 1360 | XAxisAsTime=True, grid='both' |
|
|
1336 | 1361 | ) |
|
|
1337 | 1362 | |
|
|
1338 | 1363 | self.draw() |
|
|
1339 | 1364 | |
|
|
1340 | 1365 | if dataOut.ltctime >= self.xmax: |
|
|
1341 | 1366 | self.counter_imagwr = wr_period |
|
|
1342 | 1367 | self.isConfig = False |
|
|
1343 | 1368 | update_figfile = True |
|
|
1344 | 1369 | |
|
|
1345 | 1370 | self.save(figpath=figpath, |
|
|
1346 | 1371 | figfile=figfile, |
|
|
1347 | 1372 | save=save, |
|
|
1348 | 1373 | ftp=ftp, |
|
|
1349 | 1374 | wr_period=wr_period, |
|
|
1350 | 1375 | thisDatetime=thisDatetime, |
|
|
1351 | 1376 | update_figfile=update_figfile) |
|
|
1352 | 1377 | |
|
|
1353 | 1378 | #store data beacon phase |
|
|
1354 | 1379 | if save: |
|
|
1355 | 1380 | self.save_data(self.filename_noise, noisedB, thisDatetime) |
|
|
1356 | 1381 | |
|
|
1357 | 1382 | class BeaconPhase(Figure): |
|
|
1358 | 1383 | |
|
|
1359 | 1384 | __isConfig = None |
|
|
1360 | 1385 | __nsubplots = None |
|
|
1361 | 1386 | |
|
|
1362 | 1387 | PREFIX = 'beacon_phase' |
|
|
1363 | 1388 | |
|
|
1364 | 1389 | def __init__(self, **kwargs): |
|
|
1365 | 1390 | Figure.__init__(self, **kwargs) |
|
|
1366 | 1391 | self.timerange = 24*60*60 |
|
|
1367 | 1392 | self.isConfig = False |
|
|
1368 | 1393 | self.__nsubplots = 1 |
|
|
1369 | 1394 | self.counter_imagwr = 0 |
|
|
1370 | 1395 | self.WIDTH = 800 |
|
|
1371 | 1396 | self.HEIGHT = 400 |
|
|
1372 | 1397 | self.WIDTHPROF = 120 |
|
|
1373 | 1398 | self.HEIGHTPROF = 0 |
|
|
1374 | 1399 | self.xdata = None |
|
|
1375 | 1400 | self.ydata = None |
|
|
1376 | 1401 | |
|
|
1377 | 1402 | self.PLOT_CODE = BEACON_CODE |
|
|
1378 | 1403 | |
|
|
1379 | 1404 | self.FTP_WEI = None |
|
|
1380 | 1405 | self.EXP_CODE = None |
|
|
1381 | 1406 | self.SUB_EXP_CODE = None |
|
|
1382 | 1407 | self.PLOT_POS = None |
|
|
1383 | 1408 | |
|
|
1384 | 1409 | self.filename_phase = None |
|
|
1385 | 1410 | |
|
|
1386 | 1411 | self.figfile = None |
|
|
1387 | 1412 | |
|
|
1388 | 1413 | self.xmin = None |
|
|
1389 | 1414 | self.xmax = None |
|
|
1390 | 1415 | |
|
|
1391 | 1416 | def getSubplots(self): |
|
|
1392 | 1417 | |
|
|
1393 | 1418 | ncol = 1 |
|
|
1394 | 1419 | nrow = 1 |
|
|
1395 | 1420 | |
|
|
1396 | 1421 | return nrow, ncol |
|
|
1397 | 1422 | |
|
|
1398 | 1423 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
1399 | 1424 | |
|
|
1400 | 1425 | self.__showprofile = showprofile |
|
|
1401 | 1426 | self.nplots = nplots |
|
|
1402 | 1427 | |
|
|
1403 | 1428 | ncolspan = 7 |
|
|
1404 | 1429 | colspan = 6 |
|
|
1405 | 1430 | self.__nsubplots = 2 |
|
|
1406 | 1431 | |
|
|
1407 | 1432 | self.createFigure(id = id, |
|
|
1408 | 1433 | wintitle = wintitle, |
|
|
1409 | 1434 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|
1410 | 1435 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|
1411 | 1436 | show=show) |
|
|
1412 | 1437 | |
|
|
1413 | 1438 | nrow, ncol = self.getSubplots() |
|
|
1414 | 1439 | |
|
|
1415 | 1440 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|
1416 | 1441 | |
|
|
1417 | 1442 | def save_phase(self, filename_phase): |
|
|
1418 | 1443 | f = open(filename_phase,'w+') |
|
|
1419 | 1444 | f.write('\n\n') |
|
|
1420 | 1445 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') |
|
|
1421 | 1446 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) |
|
|
1422 | 1447 | f.close() |
|
|
1423 | 1448 | |
|
|
1424 | 1449 | def save_data(self, filename_phase, data, data_datetime): |
|
|
1425 | 1450 | f=open(filename_phase,'a') |
|
|
1426 | 1451 | timetuple_data = data_datetime.timetuple() |
|
|
1427 | 1452 | day = str(timetuple_data.tm_mday) |
|
|
1428 | 1453 | month = str(timetuple_data.tm_mon) |
|
|
1429 | 1454 | year = str(timetuple_data.tm_year) |
|
|
1430 | 1455 | hour = str(timetuple_data.tm_hour) |
|
|
1431 | 1456 | minute = str(timetuple_data.tm_min) |
|
|
1432 | 1457 | second = str(timetuple_data.tm_sec) |
|
|
1433 | 1458 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') |
|
|
1434 | 1459 | f.close() |
|
|
1435 | 1460 | |
|
|
1436 | 1461 | |
|
|
1437 | 1462 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|
1438 | 1463 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, |
|
|
1439 | 1464 | timerange=None, |
|
|
1440 | 1465 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
1441 | 1466 | server=None, folder=None, username=None, password=None, |
|
|
1442 | 1467 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
1443 | 1468 | |
|
|
1444 | 1469 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
1445 | 1470 | return |
|
|
1446 | 1471 | |
|
|
1447 | 1472 | if pairsList == None: |
|
|
1448 | 1473 | pairsIndexList = dataOut.pairsIndexList[:10] |
|
|
1449 | 1474 | else: |
|
|
1450 | 1475 | pairsIndexList = [] |
|
|
1451 | 1476 | for pair in pairsList: |
|
|
1452 | 1477 | if pair not in dataOut.pairsList: |
|
|
1453 | 1478 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
|
1454 | 1479 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|
1455 | 1480 | |
|
|
1456 | 1481 | if pairsIndexList == []: |
|
|
1457 | 1482 | return |
|
|
1458 | 1483 | |
|
|
1459 | 1484 | # if len(pairsIndexList) > 4: |
|
|
1460 | 1485 | # pairsIndexList = pairsIndexList[0:4] |
|
|
1461 | 1486 | |
|
|
1462 | 1487 | hmin_index = None |
|
|
1463 | 1488 | hmax_index = None |
|
|
1464 | 1489 | |
|
|
1465 | 1490 | if hmin != None and hmax != None: |
|
|
1466 | 1491 | indexes = numpy.arange(dataOut.nHeights) |
|
|
1467 | 1492 | hmin_list = indexes[dataOut.heightList >= hmin] |
|
|
1468 | 1493 | hmax_list = indexes[dataOut.heightList <= hmax] |
|
|
1469 | 1494 | |
|
|
1470 | 1495 | if hmin_list.any(): |
|
|
1471 | 1496 | hmin_index = hmin_list[0] |
|
|
1472 | 1497 | |
|
|
1473 | 1498 | if hmax_list.any(): |
|
|
1474 | 1499 | hmax_index = hmax_list[-1]+1 |
|
|
1475 | 1500 | |
|
|
1476 | 1501 | x = dataOut.getTimeRange() |
|
|
1477 | 1502 | #y = dataOut.getHeiRange() |
|
|
1478 | 1503 | |
|
|
1479 | 1504 | |
|
|
1480 | 1505 | thisDatetime = dataOut.datatime |
|
|
1481 | 1506 | |
|
|
1482 | 1507 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
1483 | 1508 | xlabel = "Local Time" |
|
|
1484 | 1509 | ylabel = "Phase (degrees)" |
|
|
1485 | 1510 | |
|
|
1486 | 1511 | update_figfile = False |
|
|
1487 | 1512 | |
|
|
1488 | 1513 | nplots = len(pairsIndexList) |
|
|
1489 | 1514 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
|
1490 | 1515 | phase_beacon = numpy.zeros(len(pairsIndexList)) |
|
|
1491 | 1516 | for i in range(nplots): |
|
|
1492 | 1517 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|
1493 | 1518 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) |
|
|
1494 | 1519 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) |
|
|
1495 | 1520 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) |
|
|
1496 | 1521 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
|
1497 | 1522 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
|
1498 | 1523 | |
|
|
1499 | 1524 | #print "Phase %d%d" %(pair[0], pair[1]) |
|
|
1500 | 1525 | #print phase[dataOut.beacon_heiIndexList] |
|
|
1501 | 1526 | |
|
|
1502 | 1527 | if dataOut.beacon_heiIndexList: |
|
|
1503 | 1528 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) |
|
|
1504 | 1529 | else: |
|
|
1505 | 1530 | phase_beacon[i] = numpy.average(phase) |
|
|
1506 | 1531 | |
|
|
1507 | 1532 | if not self.isConfig: |
|
|
1508 | 1533 | |
|
|
1509 | 1534 | nplots = len(pairsIndexList) |
|
|
1510 | 1535 | |
|
|
1511 | 1536 | self.setup(id=id, |
|
|
1512 | 1537 | nplots=nplots, |
|
|
1513 | 1538 | wintitle=wintitle, |
|
|
1514 | 1539 | showprofile=showprofile, |
|
|
1515 | 1540 | show=show) |
|
|
1516 | 1541 | |
|
|
1517 | 1542 | if timerange != None: |
|
|
1518 | 1543 | self.timerange = timerange |
|
|
1519 | 1544 | |
|
|
1520 | 1545 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
1521 | 1546 | |
|
|
1522 | 1547 | if ymin == None: ymin = 0 |
|
|
1523 | 1548 | if ymax == None: ymax = 360 |
|
|
1524 | 1549 | |
|
|
1525 | 1550 | self.FTP_WEI = ftp_wei |
|
|
1526 | 1551 | self.EXP_CODE = exp_code |
|
|
1527 | 1552 | self.SUB_EXP_CODE = sub_exp_code |
|
|
1528 | 1553 | self.PLOT_POS = plot_pos |
|
|
1529 | 1554 | |
|
|
1530 | 1555 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
1531 | 1556 | self.isConfig = True |
|
|
1532 | 1557 | self.figfile = figfile |
|
|
1533 | 1558 | self.xdata = numpy.array([]) |
|
|
1534 | 1559 | self.ydata = numpy.array([]) |
|
|
1535 | 1560 | |
|
|
1536 | 1561 | update_figfile = True |
|
|
1537 | 1562 | |
|
|
1538 | 1563 | #open file beacon phase |
|
|
1539 | 1564 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|
1540 | 1565 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
|
1541 | 1566 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
|
1542 | 1567 | #self.save_phase(self.filename_phase) |
|
|
1543 | 1568 | |
|
|
1544 | 1569 | |
|
|
1545 | 1570 | #store data beacon phase |
|
|
1546 | 1571 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
|
1547 | 1572 | |
|
|
1548 | 1573 | self.setWinTitle(title) |
|
|
1549 | 1574 | |
|
|
1550 | 1575 | |
|
|
1551 | 1576 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
1552 | 1577 | |
|
|
1553 | 1578 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] |
|
|
1554 | 1579 | |
|
|
1555 | 1580 | axes = self.axesList[0] |
|
|
1556 | 1581 | |
|
|
1557 | 1582 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|
1558 | 1583 | |
|
|
1559 | 1584 | if len(self.ydata)==0: |
|
|
1560 | 1585 | self.ydata = phase_beacon.reshape(-1,1) |
|
|
1561 | 1586 | else: |
|
|
1562 | 1587 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
|
1563 | 1588 | |
|
|
1564 | 1589 | |
|
|
1565 | 1590 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|
1566 | 1591 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
|
1567 | 1592 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|
1568 | 1593 | XAxisAsTime=True, grid='both' |
|
|
1569 | 1594 | ) |
|
|
1570 | 1595 | |
|
|
1571 | 1596 | self.draw() |
|
|
1572 | 1597 | |
|
|
1573 | 1598 | if dataOut.ltctime >= self.xmax: |
|
|
1574 | 1599 | self.counter_imagwr = wr_period |
|
|
1575 | 1600 | self.isConfig = False |
|
|
1576 | 1601 | update_figfile = True |
|
|
1577 | 1602 | |
|
|
1578 | 1603 | self.save(figpath=figpath, |
|
|
1579 | 1604 | figfile=figfile, |
|
|
1580 | 1605 | save=save, |
|
|
1581 | 1606 | ftp=ftp, |
|
|
1582 | 1607 | wr_period=wr_period, |
|
|
1583 | 1608 | thisDatetime=thisDatetime, |
|
|
1584 | 1609 | update_figfile=update_figfile) |
| @@ -1,362 +1,365 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Nov 9, 2016 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj- LouVD |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | |
|
|
8 | 8 | import os |
|
|
9 | 9 | import sys |
|
|
10 | 10 | import time |
|
|
11 | 11 | import glob |
|
|
12 | 12 | import datetime |
|
|
13 | 13 | |
|
|
14 | 14 | import numpy |
|
|
15 | 15 | |
|
|
16 | 16 | from schainpy.model.proc.jroproc_base import ProcessingUnit |
|
|
17 | 17 | from schainpy.model.data.jrodata import Parameters |
|
|
18 | 18 | from schainpy.model.io.jroIO_base import JRODataReader, isNumber |
|
|
19 | 19 | |
|
|
20 | 20 | FILE_HEADER_STRUCTURE = numpy.dtype([ |
|
|
21 | 21 | ('FMN', '<u4'), |
|
|
22 | 22 | ('nrec', '<u4'), |
|
|
23 | 23 | ('fr_offset', '<u4'), |
|
|
24 | 24 | ('id', '<u4'), |
|
|
25 | 25 | ('site', 'u1', (32,)) |
|
|
26 | 26 | ]) |
|
|
27 | 27 | |
|
|
28 | 28 | REC_HEADER_STRUCTURE = numpy.dtype([ |
|
|
29 | 29 | ('rmn', '<u4'), |
|
|
30 | 30 | ('rcounter', '<u4'), |
|
|
31 | 31 | ('nr_offset', '<u4'), |
|
|
32 | 32 | ('tr_offset', '<u4'), |
|
|
33 | 33 | ('time', '<u4'), |
|
|
34 | 34 | ('time_msec', '<u4'), |
|
|
35 | 35 | ('tag', 'u1', (32,)), |
|
|
36 | 36 | ('comments', 'u1', (32,)), |
|
|
37 | 37 | ('lat', '<f4'), |
|
|
38 | 38 | ('lon', '<f4'), |
|
|
39 | 39 | ('gps_status', '<u4'), |
|
|
40 | 40 | ('freq', '<u4'), |
|
|
41 | 41 | ('freq0', '<u4'), |
|
|
42 | 42 | ('nchan', '<u4'), |
|
|
43 | 43 | ('delta_r', '<u4'), |
|
|
44 | 44 | ('nranges', '<u4'), |
|
|
45 | 45 | ('r0', '<u4'), |
|
|
46 | 46 | ('prf', '<u4'), |
|
|
47 | 47 | ('ncoh', '<u4'), |
|
|
48 | 48 | ('npoints', '<u4'), |
|
|
49 | 49 | ('polarization', '<i4'), |
|
|
50 | 50 | ('rx_filter', '<u4'), |
|
|
51 | 51 | ('nmodes', '<u4'), |
|
|
52 | 52 | ('dmode_index', '<u4'), |
|
|
53 | 53 | ('dmode_rngcorr', '<u4'), |
|
|
54 | 54 | ('nrxs', '<u4'), |
|
|
55 | 55 | ('acf_length', '<u4'), |
|
|
56 | 56 | ('acf_lags', '<u4'), |
|
|
57 | 57 | ('sea_to_atmos', '<f4'), |
|
|
58 | 58 | ('sea_notch', '<u4'), |
|
|
59 | 59 | ('lh_sea', '<u4'), |
|
|
60 | 60 | ('hh_sea', '<u4'), |
|
|
61 | 61 | ('nbins_sea', '<u4'), |
|
|
62 | 62 | ('min_snr', '<f4'), |
|
|
63 | 63 | ('min_cc', '<f4'), |
|
|
64 | 64 | ('max_time_diff', '<f4') |
|
|
65 | 65 | ]) |
|
|
66 | 66 | |
|
|
67 | 67 | DATA_STRUCTURE = numpy.dtype([ |
|
|
68 | 68 | ('range', '<u4'), |
|
|
69 | 69 | ('status', '<u4'), |
|
|
70 | 70 | ('zonal', '<f4'), |
|
|
71 | 71 | ('meridional', '<f4'), |
|
|
72 | 72 | ('vertical', '<f4'), |
|
|
73 | 73 | ('zonal_a', '<f4'), |
|
|
74 | 74 | ('meridional_a', '<f4'), |
|
|
75 | 75 | ('corrected_fading', '<f4'), # seconds |
|
|
76 | 76 | ('uncorrected_fading', '<f4'), # seconds |
|
|
77 | 77 | ('time_diff', '<f4'), |
|
|
78 | 78 | ('major_axis', '<f4'), |
|
|
79 | 79 | ('axial_ratio', '<f4'), |
|
|
80 | 80 | ('orientation', '<f4'), |
|
|
81 | 81 | ('sea_power', '<u4'), |
|
|
82 | 82 | ('sea_algorithm', '<u4') |
|
|
83 | 83 | ]) |
|
|
84 | 84 | |
|
|
85 | 85 | class BLTRParamReader(JRODataReader, ProcessingUnit): |
|
|
86 | 86 | ''' |
|
|
87 | 87 | Boundary Layer and Tropospheric Radar (BLTR) reader, Wind velocities and SNR from *.sswma files |
|
|
88 | 88 | ''' |
|
|
89 | 89 | |
|
|
90 | 90 | ext = '.sswma' |
|
|
91 | 91 | |
|
|
92 | 92 | def __init__(self, **kwargs): |
|
|
93 | 93 | |
|
|
94 | 94 | ProcessingUnit.__init__(self , **kwargs) |
|
|
95 | 95 | |
|
|
96 | 96 | self.dataOut = Parameters() |
|
|
97 | 97 | self.counter_records = 0 |
|
|
98 | 98 | self.flagNoMoreFiles = 0 |
|
|
99 | 99 | self.isConfig = False |
|
|
100 | 100 | self.filename = None |
|
|
101 | 101 | |
|
|
102 | 102 | def setup(self, |
|
|
103 | 103 | path=None, |
|
|
104 | 104 | startDate=None, |
|
|
105 | 105 | endDate=None, |
|
|
106 | 106 | ext=None, |
|
|
107 | 107 | startTime=datetime.time(0, 0, 0), |
|
|
108 | 108 | endTime=datetime.time(23, 59, 59), |
|
|
109 | 109 | timezone=0, |
|
|
110 | 110 | status_value=0, |
|
|
111 | 111 | **kwargs): |
|
|
112 | 112 | |
|
|
113 | self.verbose = kwargs.get('verbose', True) | |
|
|
113 | 114 | self.path = path |
|
|
114 | 115 | self.startTime = startTime |
|
|
115 | 116 | self.endTime = endTime |
|
|
116 | 117 | self.status_value = status_value |
|
|
117 | 118 | |
|
|
118 | 119 | if self.path is None: |
|
|
119 | 120 | raise ValueError, "The path is not valid" |
|
|
120 | 121 | |
|
|
121 | 122 | if ext is None: |
|
|
122 | 123 | ext = self.ext |
|
|
123 | 124 | |
|
|
124 | 125 | self.search_files(self.path, startDate, endDate, ext) |
|
|
125 | 126 | self.timezone = timezone |
|
|
126 | 127 | self.fileIndex = 0 |
|
|
127 | 128 | |
|
|
128 | 129 | if not self.fileList: |
|
|
129 | 130 | raise Warning, "There is no files matching these date in the folder: %s. \n Check 'startDate' and 'endDate' "%(path) |
|
|
130 | 131 | |
|
|
131 | 132 | self.setNextFile() |
|
|
132 | 133 | |
|
|
133 | 134 | def search_files(self, path, startDate, endDate, ext): |
|
|
134 | 135 | ''' |
|
|
135 | 136 | Searching for BLTR rawdata file in path |
|
|
136 | 137 | Creating a list of file to proces included in [startDate,endDate] |
|
|
137 | 138 | |
|
|
138 | 139 | Input: |
|
|
139 | 140 | path - Path to find BLTR rawdata files |
|
|
140 | 141 | startDate - Select file from this date |
|
|
141 | 142 | enDate - Select file until this date |
|
|
142 | 143 | ext - Extension of the file to read |
|
|
143 | 144 | |
|
|
144 | 145 | ''' |
|
|
145 | 146 | |
|
|
146 | 147 | print 'Searching file in %s ' % (path) |
|
|
147 | 148 | foldercounter = 0 |
|
|
148 | 149 | fileList0 = glob.glob1(path, "*%s" % ext) |
|
|
149 | 150 | fileList0.sort() |
|
|
150 | 151 | |
|
|
151 | 152 | self.fileList = [] |
|
|
152 | 153 | self.dateFileList = [] |
|
|
153 | 154 | |
|
|
154 | 155 | for thisFile in fileList0: |
|
|
155 | 156 | year = thisFile[-14:-10] |
|
|
156 | 157 | if not isNumber(year): |
|
|
157 | 158 | continue |
|
|
158 | 159 | |
|
|
159 | 160 | month = thisFile[-10:-8] |
|
|
160 | 161 | if not isNumber(month): |
|
|
161 | 162 | continue |
|
|
162 | 163 | |
|
|
163 | 164 | day = thisFile[-8:-6] |
|
|
164 | 165 | if not isNumber(day): |
|
|
165 | 166 | continue |
|
|
166 | 167 | |
|
|
167 | 168 | year, month, day = int(year), int(month), int(day) |
|
|
168 | 169 | dateFile = datetime.date(year, month, day) |
|
|
169 | 170 | |
|
|
170 | 171 | if (startDate > dateFile) or (endDate < dateFile): |
|
|
171 | 172 | continue |
|
|
172 | 173 | |
|
|
173 | 174 | self.fileList.append(thisFile) |
|
|
174 | 175 | self.dateFileList.append(dateFile) |
|
|
175 | 176 | |
|
|
176 | 177 | return |
|
|
177 | 178 | |
|
|
178 | 179 | def setNextFile(self): |
|
|
179 | 180 | |
|
|
180 | 181 | file_id = self.fileIndex |
|
|
181 | 182 | |
|
|
182 | 183 | if file_id == len(self.fileList): |
|
|
183 | 184 | print '\nNo more files in the folder' |
|
|
184 | 185 | print 'Total number of file(s) read : {}'.format(self.fileIndex + 1) |
|
|
185 | 186 | self.flagNoMoreFiles = 1 |
|
|
186 | 187 | return 0 |
|
|
187 | 188 | |
|
|
188 | 189 | print '\n[Setting file] (%s) ...' % self.fileList[file_id] |
|
|
189 | 190 | filename = os.path.join(self.path, self.fileList[file_id]) |
|
|
190 | 191 | |
|
|
191 | 192 | dirname, name = os.path.split(filename) |
|
|
192 | 193 | self.siteFile = name.split('.')[0] # 'peru2' ---> Piura - 'peru1' ---> Huancayo or Porcuya |
|
|
193 | 194 | if self.filename is not None: |
|
|
194 | 195 | self.fp.close() |
|
|
195 | 196 | self.filename = filename |
|
|
196 | 197 | self.fp = open(self.filename, 'rb') |
|
|
197 | 198 | self.header_file = numpy.fromfile(self.fp, FILE_HEADER_STRUCTURE, 1) |
|
|
198 | 199 | self.nrecords = self.header_file['nrec'][0] |
|
|
199 | 200 | self.sizeOfFile = os.path.getsize(self.filename) |
|
|
200 | 201 | self.counter_records = 0 |
|
|
201 | 202 | self.flagIsNewFile = 0 |
|
|
202 | 203 | self.fileIndex += 1 |
|
|
203 | 204 | |
|
|
204 | 205 | return 1 |
|
|
205 | 206 | |
|
|
206 | 207 | def readNextBlock(self): |
|
|
207 | 208 | |
|
|
208 | 209 | while True: |
|
|
209 | 210 | if self.counter_records == self.nrecords: |
|
|
210 | 211 | self.flagIsNewFile = 1 |
|
|
211 | 212 | if not self.setNextFile(): |
|
|
212 | 213 | return 0 |
|
|
213 | 214 | |
|
|
214 | 215 | self.readBlock() |
|
|
215 | 216 | |
|
|
216 | 217 | if (self.datatime.time() < self.startTime) or (self.datatime.time() > self.endTime): |
|
|
217 | print "[Reading] Record No. %d/%d -> %s [Skipping]" %( | |
|
|
218 | self.counter_records, | |
|
|
219 | self.nrecords, | |
|
|
220 |
self. |
|
|
|
218 | if self.verbose: | |
|
|
219 | print "[Reading] Record No. %d/%d -> %s [Skipping]" %( | |
|
|
220 | self.counter_records, | |
|
|
221 | self.nrecords, | |
|
|
222 | self.datatime.ctime()) | |
|
|
221 | 223 | continue |
|
|
222 | 224 | break |
|
|
223 | 225 | |
|
|
224 | print "[Reading] Record No. %d/%d -> %s" %( | |
|
|
225 | self.counter_records, | |
|
|
226 | self.nrecords, | |
|
|
227 | self.datatime.ctime()) | |
|
|
226 | if self.verbose: | |
|
|
227 | print "[Reading] Record No. %d/%d -> %s" %( | |
|
|
228 | self.counter_records, | |
|
|
229 | self.nrecords, | |
|
|
230 | self.datatime.ctime()) | |
|
|
228 | 231 | |
|
|
229 | 232 | return 1 |
|
|
230 | 233 | |
|
|
231 | 234 | def readBlock(self): |
|
|
232 | 235 | |
|
|
233 | 236 | pointer = self.fp.tell() |
|
|
234 | 237 | header_rec = numpy.fromfile(self.fp, REC_HEADER_STRUCTURE, 1) |
|
|
235 | 238 | self.nchannels = header_rec['nchan'][0]/2 |
|
|
236 | 239 | self.kchan = header_rec['nrxs'][0] |
|
|
237 | 240 | self.nmodes = header_rec['nmodes'][0] |
|
|
238 | 241 | self.nranges = header_rec['nranges'][0] |
|
|
239 | 242 | self.fp.seek(pointer) |
|
|
240 | 243 | self.height = numpy.empty((self.nmodes, self.nranges)) |
|
|
241 | 244 | self.snr = numpy.empty((self.nmodes, self.nchannels, self.nranges)) |
|
|
242 | 245 | self.buffer = numpy.empty((self.nmodes, 3, self.nranges)) |
|
|
243 | 246 | |
|
|
244 | 247 | for mode in range(self.nmodes): |
|
|
245 | 248 | self.readHeader() |
|
|
246 | 249 | data = self.readData() |
|
|
247 | 250 | self.height[mode] = (data[0] - self.correction) / 1000. |
|
|
248 | 251 | self.buffer[mode] = data[1] |
|
|
249 | 252 | self.snr[mode] = data[2] |
|
|
250 | 253 | |
|
|
251 | 254 | self.counter_records = self.counter_records + self.nmodes |
|
|
252 | 255 | |
|
|
253 | 256 | return |
|
|
254 | 257 | |
|
|
255 | 258 | def readHeader(self): |
|
|
256 | 259 | ''' |
|
|
257 | 260 | RecordHeader of BLTR rawdata file |
|
|
258 | 261 | ''' |
|
|
259 | 262 | |
|
|
260 | 263 | header_structure = numpy.dtype( |
|
|
261 | 264 | REC_HEADER_STRUCTURE.descr + [ |
|
|
262 | 265 | ('antenna_coord', 'f4', (2, self.nchannels)), |
|
|
263 | 266 | ('rx_gains', 'u4', (self.nchannels,)), |
|
|
264 | 267 | ('rx_analysis', 'u4', (self.nchannels,)) |
|
|
265 | 268 | ] |
|
|
266 | 269 | ) |
|
|
267 | 270 | |
|
|
268 | 271 | self.header_rec = numpy.fromfile(self.fp, header_structure, 1) |
|
|
269 | 272 | self.lat = self.header_rec['lat'][0] |
|
|
270 | 273 | self.lon = self.header_rec['lon'][0] |
|
|
271 | 274 | self.delta = self.header_rec['delta_r'][0] |
|
|
272 | 275 | self.correction = self.header_rec['dmode_rngcorr'][0] |
|
|
273 | 276 | self.imode = self.header_rec['dmode_index'][0] |
|
|
274 | 277 | self.antenna = self.header_rec['antenna_coord'] |
|
|
275 | 278 | self.rx_gains = self.header_rec['rx_gains'] |
|
|
276 | 279 | self.time = self.header_rec['time'][0] |
|
|
277 | 280 | tseconds = self.header_rec['time'][0] |
|
|
278 | 281 | local_t1 = time.localtime(tseconds) |
|
|
279 | 282 | self.year = local_t1.tm_year |
|
|
280 | 283 | self.month = local_t1.tm_mon |
|
|
281 | 284 | self.day = local_t1.tm_mday |
|
|
282 | 285 | self.t = datetime.datetime(self.year, self.month, self.day) |
|
|
283 | 286 | self.datatime = datetime.datetime.utcfromtimestamp(self.time) |
|
|
284 | 287 | |
|
|
285 | 288 | def readData(self): |
|
|
286 | 289 | ''' |
|
|
287 | 290 | Reading and filtering data block record of BLTR rawdata file, filtering is according to status_value. |
|
|
288 | 291 | |
|
|
289 | 292 | Input: |
|
|
290 | 293 | status_value - Array data is set to NAN for values that are not equal to status_value |
|
|
291 | 294 | |
|
|
292 | 295 | ''' |
|
|
293 | 296 | |
|
|
294 | 297 | data_structure = numpy.dtype( |
|
|
295 | 298 | DATA_STRUCTURE.descr + [ |
|
|
296 | 299 | ('rx_saturation', 'u4', (self.nchannels,)), |
|
|
297 | 300 | ('chan_offset', 'u4', (2 * self.nchannels,)), |
|
|
298 | 301 | ('rx_amp', 'u4', (self.nchannels,)), |
|
|
299 | 302 | ('rx_snr', 'f4', (self.nchannels,)), |
|
|
300 | 303 | ('cross_snr', 'f4', (self.kchan,)), |
|
|
301 | 304 | ('sea_power_relative', 'f4', (self.kchan,))] |
|
|
302 | 305 | ) |
|
|
303 | 306 | |
|
|
304 | 307 | data = numpy.fromfile(self.fp, data_structure, self.nranges) |
|
|
305 | 308 | |
|
|
306 | 309 | height = data['range'] |
|
|
307 | 310 | winds = numpy.array((data['zonal'], data['meridional'], data['vertical'])) |
|
|
308 | 311 | snr = data['rx_snr'].T |
|
|
309 | 312 | |
|
|
310 | 313 | winds[numpy.where(winds == -9999.)] = numpy.nan |
|
|
311 | 314 | winds[:, numpy.where(data['status'] != self.status_value)] = numpy.nan |
|
|
312 | 315 | snr[numpy.where(snr == -9999.)] = numpy.nan |
|
|
313 | 316 | snr[:, numpy.where(data['status'] != self.status_value)] = numpy.nan |
|
|
314 | 317 | snr = numpy.power(10, snr / 10) |
|
|
315 | 318 | |
|
|
316 | 319 | return height, winds, snr |
|
|
317 | 320 | |
|
|
318 | 321 | def set_output(self): |
|
|
319 | 322 | ''' |
|
|
320 | 323 | Storing data from databuffer to dataOut object |
|
|
321 | 324 | ''' |
|
|
322 | 325 | |
|
|
323 | 326 | self.dataOut.data_SNR = self.snr |
|
|
324 | 327 | self.dataOut.height = self.height |
|
|
325 | 328 | self.dataOut.data_output = self.buffer |
|
|
326 | 329 | self.dataOut.utctimeInit = self.time |
|
|
327 | 330 | self.dataOut.utctime = self.dataOut.utctimeInit |
|
|
328 | 331 | self.dataOut.useLocalTime = False |
|
|
329 | 332 | self.dataOut.paramInterval = 157 |
|
|
330 | 333 | self.dataOut.timezone = self.timezone |
|
|
331 | 334 | self.dataOut.site = self.siteFile |
|
|
332 | 335 | self.dataOut.nrecords = self.nrecords/self.nmodes |
|
|
333 | 336 | self.dataOut.sizeOfFile = self.sizeOfFile |
|
|
334 | 337 | self.dataOut.lat = self.lat |
|
|
335 | 338 | self.dataOut.lon = self.lon |
|
|
336 | 339 | self.dataOut.channelList = range(self.nchannels) |
|
|
337 | 340 | self.dataOut.kchan = self.kchan |
|
|
338 | 341 | # self.dataOut.nHeights = self.nranges |
|
|
339 | 342 | self.dataOut.delta = self.delta |
|
|
340 | 343 | self.dataOut.correction = self.correction |
|
|
341 | 344 | self.dataOut.nmodes = self.nmodes |
|
|
342 | 345 | self.dataOut.imode = self.imode |
|
|
343 | 346 | self.dataOut.antenna = self.antenna |
|
|
344 | 347 | self.dataOut.rx_gains = self.rx_gains |
|
|
345 | 348 | self.dataOut.flagNoData = False |
|
|
346 | 349 | |
|
|
347 | 350 | def getData(self): |
|
|
348 | 351 | ''' |
|
|
349 | 352 | Storing data from databuffer to dataOut object |
|
|
350 | 353 | ''' |
|
|
351 | 354 | if self.flagNoMoreFiles: |
|
|
352 | 355 | self.dataOut.flagNoData = True |
|
|
353 | 356 | print 'No file left to process' |
|
|
354 | 357 | return 0 |
|
|
355 | 358 | |
|
|
356 | 359 | if not self.readNextBlock(): |
|
|
357 | 360 | self.dataOut.flagNoData = True |
|
|
358 | 361 | return 0 |
|
|
359 | 362 | |
|
|
360 | 363 | self.set_output() |
|
|
361 | 364 | |
|
|
362 | 365 | return 1 |
| @@ -1,1794 +1,1794 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 2, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import sys |
|
|
8 | 8 | import glob |
|
|
9 | 9 | import time |
|
|
10 | 10 | import numpy |
|
|
11 | 11 | import fnmatch |
|
|
12 | 12 | import inspect |
|
|
13 | 13 | import time, datetime |
|
|
14 | 14 | import traceback |
|
|
15 | 15 | |
|
|
16 | 16 | try: |
|
|
17 | 17 | from gevent import sleep |
|
|
18 | 18 | except: |
|
|
19 | 19 | from time import sleep |
|
|
20 | 20 | |
|
|
21 | 21 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
22 | 22 | from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width |
|
|
23 | 23 | |
|
|
24 | 24 | LOCALTIME = True |
|
|
25 | 25 | |
|
|
26 | 26 | def isNumber(cad): |
|
|
27 | 27 | """ |
|
|
28 | 28 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|
29 | 29 | |
|
|
30 | 30 | Excepciones: |
|
|
31 | 31 | Si un determinado string no puede ser convertido a numero |
|
|
32 | 32 | Input: |
|
|
33 | 33 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|
34 | 34 | |
|
|
35 | 35 | Return: |
|
|
36 | 36 | True : si el string es uno numerico |
|
|
37 | 37 | False : no es un string numerico |
|
|
38 | 38 | """ |
|
|
39 | 39 | try: |
|
|
40 | 40 | float( cad ) |
|
|
41 | 41 | return True |
|
|
42 | 42 | except: |
|
|
43 | 43 | return False |
|
|
44 | 44 | |
|
|
45 | 45 | def isFileInEpoch(filename, startUTSeconds, endUTSeconds): |
|
|
46 | 46 | """ |
|
|
47 | 47 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
|
|
48 | 48 | |
|
|
49 | 49 | Inputs: |
|
|
50 | 50 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
51 | 51 | |
|
|
52 | 52 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
|
|
53 | 53 | segundos contados desde 01/01/1970. |
|
|
54 | 54 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
|
|
55 | 55 | segundos contados desde 01/01/1970. |
|
|
56 | 56 | |
|
|
57 | 57 | Return: |
|
|
58 | 58 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
59 | 59 | fecha especificado, de lo contrario retorna False. |
|
|
60 | 60 | |
|
|
61 | 61 | Excepciones: |
|
|
62 | 62 | Si el archivo no existe o no puede ser abierto |
|
|
63 | 63 | Si la cabecera no puede ser leida. |
|
|
64 | 64 | |
|
|
65 | 65 | """ |
|
|
66 | 66 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
67 | 67 | |
|
|
68 | 68 | try: |
|
|
69 | 69 | fp = open(filename,'rb') |
|
|
70 | 70 | except IOError: |
|
|
71 | 71 | print "The file %s can't be opened" %(filename) |
|
|
72 | 72 | return 0 |
|
|
73 | 73 | |
|
|
74 | 74 | sts = basicHeaderObj.read(fp) |
|
|
75 | 75 | fp.close() |
|
|
76 | 76 | |
|
|
77 | 77 | if not(sts): |
|
|
78 | 78 | print "Skipping the file %s because it has not a valid header" %(filename) |
|
|
79 | 79 | return 0 |
|
|
80 | 80 | |
|
|
81 | 81 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
|
|
82 | 82 | return 0 |
|
|
83 | 83 | |
|
|
84 | 84 | return 1 |
|
|
85 | 85 | |
|
|
86 | 86 | def isTimeInRange(thisTime, startTime, endTime): |
|
|
87 | 87 | |
|
|
88 | 88 | if endTime >= startTime: |
|
|
89 | 89 | if (thisTime < startTime) or (thisTime > endTime): |
|
|
90 | 90 | return 0 |
|
|
91 | 91 | |
|
|
92 | 92 | return 1 |
|
|
93 | 93 | else: |
|
|
94 | 94 | if (thisTime < startTime) and (thisTime > endTime): |
|
|
95 | 95 | return 0 |
|
|
96 | 96 | |
|
|
97 | 97 | return 1 |
|
|
98 | 98 | |
|
|
99 | 99 | def isFileInTimeRange(filename, startDate, endDate, startTime, endTime): |
|
|
100 | 100 | """ |
|
|
101 | 101 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
102 | 102 | |
|
|
103 | 103 | Inputs: |
|
|
104 | 104 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
105 | 105 | |
|
|
106 | 106 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
107 | 107 | |
|
|
108 | 108 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
109 | 109 | |
|
|
110 | 110 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
|
111 | 111 | |
|
|
112 | 112 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
|
113 | 113 | |
|
|
114 | 114 | Return: |
|
|
115 | 115 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
116 | 116 | fecha especificado, de lo contrario retorna False. |
|
|
117 | 117 | |
|
|
118 | 118 | Excepciones: |
|
|
119 | 119 | Si el archivo no existe o no puede ser abierto |
|
|
120 | 120 | Si la cabecera no puede ser leida. |
|
|
121 | 121 | |
|
|
122 | 122 | """ |
|
|
123 | 123 | |
|
|
124 | 124 | |
|
|
125 | 125 | try: |
|
|
126 | 126 | fp = open(filename,'rb') |
|
|
127 | 127 | except IOError: |
|
|
128 | 128 | print "The file %s can't be opened" %(filename) |
|
|
129 | 129 | return None |
|
|
130 | 130 | |
|
|
131 | 131 | firstBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
132 | 132 | systemHeaderObj = SystemHeader() |
|
|
133 | 133 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
134 | 134 | processingHeaderObj = ProcessingHeader() |
|
|
135 | 135 | |
|
|
136 | 136 | lastBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
137 | 137 | |
|
|
138 | 138 | sts = firstBasicHeaderObj.read(fp) |
|
|
139 | 139 | |
|
|
140 | 140 | if not(sts): |
|
|
141 | 141 | print "[Reading] Skipping the file %s because it has not a valid header" %(filename) |
|
|
142 | 142 | return None |
|
|
143 | 143 | |
|
|
144 | 144 | if not systemHeaderObj.read(fp): |
|
|
145 | 145 | return None |
|
|
146 | 146 | |
|
|
147 | 147 | if not radarControllerHeaderObj.read(fp): |
|
|
148 | 148 | return None |
|
|
149 | 149 | |
|
|
150 | 150 | if not processingHeaderObj.read(fp): |
|
|
151 | 151 | return None |
|
|
152 | 152 | |
|
|
153 | 153 | filesize = os.path.getsize(filename) |
|
|
154 | 154 | |
|
|
155 | 155 | offset = processingHeaderObj.blockSize + 24 #header size |
|
|
156 | 156 | |
|
|
157 | 157 | if filesize <= offset: |
|
|
158 | 158 | print "[Reading] %s: This file has not enough data" %filename |
|
|
159 | 159 | return None |
|
|
160 | 160 | |
|
|
161 | 161 | fp.seek(-offset, 2) |
|
|
162 | 162 | |
|
|
163 | 163 | sts = lastBasicHeaderObj.read(fp) |
|
|
164 | 164 | |
|
|
165 | 165 | fp.close() |
|
|
166 | 166 | |
|
|
167 | 167 | thisDatetime = lastBasicHeaderObj.datatime |
|
|
168 | 168 | thisTime_last_block = thisDatetime.time() |
|
|
169 | 169 | |
|
|
170 | 170 | thisDatetime = firstBasicHeaderObj.datatime |
|
|
171 | 171 | thisDate = thisDatetime.date() |
|
|
172 | 172 | thisTime_first_block = thisDatetime.time() |
|
|
173 | 173 | |
|
|
174 | 174 | #General case |
|
|
175 | 175 | # o>>>>>>>>>>>>>><<<<<<<<<<<<<<o |
|
|
176 | 176 | #-----------o----------------------------o----------- |
|
|
177 | 177 | # startTime endTime |
|
|
178 | 178 | |
|
|
179 | 179 | if endTime >= startTime: |
|
|
180 | 180 | if (thisTime_last_block < startTime) or (thisTime_first_block > endTime): |
|
|
181 | 181 | return None |
|
|
182 | 182 | |
|
|
183 | 183 | return thisDatetime |
|
|
184 | 184 | |
|
|
185 | 185 | #If endTime < startTime then endTime belongs to the next day |
|
|
186 | 186 | |
|
|
187 | 187 | |
|
|
188 | 188 | #<<<<<<<<<<<o o>>>>>>>>>>> |
|
|
189 | 189 | #-----------o----------------------------o----------- |
|
|
190 | 190 | # endTime startTime |
|
|
191 | 191 | |
|
|
192 | 192 | if (thisDate == startDate) and (thisTime_last_block < startTime): |
|
|
193 | 193 | return None |
|
|
194 | 194 | |
|
|
195 | 195 | if (thisDate == endDate) and (thisTime_first_block > endTime): |
|
|
196 | 196 | return None |
|
|
197 | 197 | |
|
|
198 | 198 | if (thisTime_last_block < startTime) and (thisTime_first_block > endTime): |
|
|
199 | 199 | return None |
|
|
200 | 200 | |
|
|
201 | 201 | return thisDatetime |
|
|
202 | 202 | |
|
|
203 | 203 | def isFolderInDateRange(folder, startDate=None, endDate=None): |
|
|
204 | 204 | """ |
|
|
205 | 205 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
206 | 206 | |
|
|
207 | 207 | Inputs: |
|
|
208 | 208 | folder : nombre completo del directorio. |
|
|
209 | 209 | Su formato deberia ser "/path_root/?YYYYDDD" |
|
|
210 | 210 | |
|
|
211 | 211 | siendo: |
|
|
212 | 212 | YYYY : Anio (ejemplo 2015) |
|
|
213 | 213 | DDD : Dia del anio (ejemplo 305) |
|
|
214 | 214 | |
|
|
215 | 215 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
216 | 216 | |
|
|
217 | 217 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
218 | 218 | |
|
|
219 | 219 | Return: |
|
|
220 | 220 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
221 | 221 | fecha especificado, de lo contrario retorna False. |
|
|
222 | 222 | Excepciones: |
|
|
223 | 223 | Si el directorio no tiene el formato adecuado |
|
|
224 | 224 | """ |
|
|
225 | 225 | |
|
|
226 | 226 | basename = os.path.basename(folder) |
|
|
227 | 227 | |
|
|
228 | 228 | if not isRadarFolder(basename): |
|
|
229 | 229 | print "The folder %s has not the rigth format" %folder |
|
|
230 | 230 | return 0 |
|
|
231 | 231 | |
|
|
232 | 232 | if startDate and endDate: |
|
|
233 | 233 | thisDate = getDateFromRadarFolder(basename) |
|
|
234 | 234 | |
|
|
235 | 235 | if thisDate < startDate: |
|
|
236 | 236 | return 0 |
|
|
237 | 237 | |
|
|
238 | 238 | if thisDate > endDate: |
|
|
239 | 239 | return 0 |
|
|
240 | 240 | |
|
|
241 | 241 | return 1 |
|
|
242 | 242 | |
|
|
243 | 243 | def isFileInDateRange(filename, startDate=None, endDate=None): |
|
|
244 | 244 | """ |
|
|
245 | 245 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
246 | 246 | |
|
|
247 | 247 | Inputs: |
|
|
248 | 248 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
249 | 249 | |
|
|
250 | 250 | Su formato deberia ser "?YYYYDDDsss" |
|
|
251 | 251 | |
|
|
252 | 252 | siendo: |
|
|
253 | 253 | YYYY : Anio (ejemplo 2015) |
|
|
254 | 254 | DDD : Dia del anio (ejemplo 305) |
|
|
255 | 255 | sss : set |
|
|
256 | 256 | |
|
|
257 | 257 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
258 | 258 | |
|
|
259 | 259 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
260 | 260 | |
|
|
261 | 261 | Return: |
|
|
262 | 262 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
263 | 263 | fecha especificado, de lo contrario retorna False. |
|
|
264 | 264 | Excepciones: |
|
|
265 | 265 | Si el archivo no tiene el formato adecuado |
|
|
266 | 266 | """ |
|
|
267 | 267 | |
|
|
268 | 268 | basename = os.path.basename(filename) |
|
|
269 | 269 | |
|
|
270 | 270 | if not isRadarFile(basename): |
|
|
271 | 271 | print "The filename %s has not the rigth format" %filename |
|
|
272 | 272 | return 0 |
|
|
273 | 273 | |
|
|
274 | 274 | if startDate and endDate: |
|
|
275 | 275 | thisDate = getDateFromRadarFile(basename) |
|
|
276 | 276 | |
|
|
277 | 277 | if thisDate < startDate: |
|
|
278 | 278 | return 0 |
|
|
279 | 279 | |
|
|
280 | 280 | if thisDate > endDate: |
|
|
281 | 281 | return 0 |
|
|
282 | 282 | |
|
|
283 | 283 | return 1 |
|
|
284 | 284 | |
|
|
285 | 285 | def getFileFromSet(path, ext, set): |
|
|
286 | 286 | validFilelist = [] |
|
|
287 | 287 | fileList = os.listdir(path) |
|
|
288 | 288 | |
|
|
289 | 289 | # 0 1234 567 89A BCDE |
|
|
290 | 290 | # H YYYY DDD SSS .ext |
|
|
291 | 291 | |
|
|
292 | 292 | for thisFile in fileList: |
|
|
293 | 293 | try: |
|
|
294 | 294 | year = int(thisFile[1:5]) |
|
|
295 | 295 | doy = int(thisFile[5:8]) |
|
|
296 | 296 | except: |
|
|
297 | 297 | continue |
|
|
298 | 298 | |
|
|
299 | 299 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
300 | 300 | continue |
|
|
301 | 301 | |
|
|
302 | 302 | validFilelist.append(thisFile) |
|
|
303 | 303 | |
|
|
304 | 304 | myfile = fnmatch.filter(validFilelist,'*%4.4d%3.3d%3.3d*'%(year,doy,set)) |
|
|
305 | 305 | |
|
|
306 | 306 | if len(myfile)!= 0: |
|
|
307 | 307 | return myfile[0] |
|
|
308 | 308 | else: |
|
|
309 | 309 | filename = '*%4.4d%3.3d%3.3d%s'%(year,doy,set,ext.lower()) |
|
|
310 | 310 | print 'the filename %s does not exist'%filename |
|
|
311 | 311 | print '...going to the last file: ' |
|
|
312 | 312 | |
|
|
313 | 313 | if validFilelist: |
|
|
314 | 314 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|
315 | 315 | return validFilelist[-1] |
|
|
316 | 316 | |
|
|
317 | 317 | return None |
|
|
318 | 318 | |
|
|
319 | 319 | def getlastFileFromPath(path, ext): |
|
|
320 | 320 | """ |
|
|
321 | 321 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
|
322 | 322 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
|
323 | 323 | |
|
|
324 | 324 | Input: |
|
|
325 | 325 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
|
326 | 326 | ext : extension de los files contenidos en una carpeta |
|
|
327 | 327 | |
|
|
328 | 328 | Return: |
|
|
329 | 329 | El ultimo file de una determinada carpeta, no se considera el path. |
|
|
330 | 330 | """ |
|
|
331 | 331 | validFilelist = [] |
|
|
332 | 332 | fileList = os.listdir(path) |
|
|
333 | 333 | |
|
|
334 | 334 | # 0 1234 567 89A BCDE |
|
|
335 | 335 | # H YYYY DDD SSS .ext |
|
|
336 | 336 | |
|
|
337 | 337 | for thisFile in fileList: |
|
|
338 | 338 | |
|
|
339 | 339 | year = thisFile[1:5] |
|
|
340 | 340 | if not isNumber(year): |
|
|
341 | 341 | continue |
|
|
342 | 342 | |
|
|
343 | 343 | doy = thisFile[5:8] |
|
|
344 | 344 | if not isNumber(doy): |
|
|
345 | 345 | continue |
|
|
346 | 346 | |
|
|
347 | 347 | year = int(year) |
|
|
348 | 348 | doy = int(doy) |
|
|
349 | 349 | |
|
|
350 | 350 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
351 | 351 | continue |
|
|
352 | 352 | |
|
|
353 | 353 | validFilelist.append(thisFile) |
|
|
354 | 354 | |
|
|
355 | 355 | if validFilelist: |
|
|
356 | 356 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|
357 | 357 | return validFilelist[-1] |
|
|
358 | 358 | |
|
|
359 | 359 | return None |
|
|
360 | 360 | |
|
|
361 | 361 | def checkForRealPath(path, foldercounter, year, doy, set, ext): |
|
|
362 | 362 | """ |
|
|
363 | 363 | Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path, |
|
|
364 | 364 | Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar |
|
|
365 | 365 | el path exacto de un determinado file. |
|
|
366 | 366 | |
|
|
367 | 367 | Example : |
|
|
368 | 368 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
|
369 | 369 | |
|
|
370 | 370 | Entonces la funcion prueba con las siguientes combinaciones |
|
|
371 | 371 | .../.../y2009307367.ext |
|
|
372 | 372 | .../.../Y2009307367.ext |
|
|
373 | 373 | .../.../x2009307/y2009307367.ext |
|
|
374 | 374 | .../.../x2009307/Y2009307367.ext |
|
|
375 | 375 | .../.../X2009307/y2009307367.ext |
|
|
376 | 376 | .../.../X2009307/Y2009307367.ext |
|
|
377 | 377 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
|
378 | 378 | |
|
|
379 | 379 | Return: |
|
|
380 | 380 | Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file |
|
|
381 | 381 | caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas |
|
|
382 | 382 | para el filename |
|
|
383 | 383 | """ |
|
|
384 | 384 | fullfilename = None |
|
|
385 | 385 | find_flag = False |
|
|
386 | 386 | filename = None |
|
|
387 | 387 | |
|
|
388 | 388 | prefixDirList = [None,'d','D'] |
|
|
389 | 389 | if ext.lower() == ".r": #voltage |
|
|
390 | 390 | prefixFileList = ['d','D'] |
|
|
391 | 391 | elif ext.lower() == ".pdata": #spectra |
|
|
392 | 392 | prefixFileList = ['p','P'] |
|
|
393 | 393 | else: |
|
|
394 | 394 | return None, filename |
|
|
395 | 395 | |
|
|
396 | 396 | #barrido por las combinaciones posibles |
|
|
397 | 397 | for prefixDir in prefixDirList: |
|
|
398 | 398 | thispath = path |
|
|
399 | 399 | if prefixDir != None: |
|
|
400 | 400 | #formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
|
401 | 401 | if foldercounter == 0: |
|
|
402 | 402 | thispath = os.path.join(path, "%s%04d%03d" % ( prefixDir, year, doy )) |
|
|
403 | 403 | else: |
|
|
404 | 404 | thispath = os.path.join(path, "%s%04d%03d_%02d" % ( prefixDir, year, doy , foldercounter)) |
|
|
405 | 405 | for prefixFile in prefixFileList: #barrido por las dos combinaciones posibles de "D" |
|
|
406 | 406 | filename = "%s%04d%03d%03d%s" % ( prefixFile, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext |
|
|
407 | 407 | fullfilename = os.path.join( thispath, filename ) #formo el path completo |
|
|
408 | 408 | |
|
|
409 | 409 | if os.path.exists( fullfilename ): #verifico que exista |
|
|
410 | 410 | find_flag = True |
|
|
411 | 411 | break |
|
|
412 | 412 | if find_flag: |
|
|
413 | 413 | break |
|
|
414 | 414 | |
|
|
415 | 415 | if not(find_flag): |
|
|
416 | 416 | return None, filename |
|
|
417 | 417 | |
|
|
418 | 418 | return fullfilename, filename |
|
|
419 | 419 | |
|
|
420 | 420 | def isRadarFolder(folder): |
|
|
421 | 421 | try: |
|
|
422 | 422 | year = int(folder[1:5]) |
|
|
423 | 423 | doy = int(folder[5:8]) |
|
|
424 | 424 | except: |
|
|
425 | 425 | return 0 |
|
|
426 | 426 | |
|
|
427 | 427 | return 1 |
|
|
428 | 428 | |
|
|
429 | 429 | def isRadarFile(file): |
|
|
430 | 430 | try: |
|
|
431 | 431 | year = int(file[1:5]) |
|
|
432 | 432 | doy = int(file[5:8]) |
|
|
433 | 433 | set = int(file[8:11]) |
|
|
434 | 434 | except: |
|
|
435 | 435 | return 0 |
|
|
436 | 436 | |
|
|
437 | 437 | return 1 |
|
|
438 | 438 | |
|
|
439 | 439 | def getDateFromRadarFile(file): |
|
|
440 | 440 | try: |
|
|
441 | 441 | year = int(file[1:5]) |
|
|
442 | 442 | doy = int(file[5:8]) |
|
|
443 | 443 | set = int(file[8:11]) |
|
|
444 | 444 | except: |
|
|
445 | 445 | return None |
|
|
446 | 446 | |
|
|
447 | 447 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1) |
|
|
448 | 448 | return thisDate |
|
|
449 | 449 | |
|
|
450 | 450 | def getDateFromRadarFolder(folder): |
|
|
451 | 451 | try: |
|
|
452 | 452 | year = int(folder[1:5]) |
|
|
453 | 453 | doy = int(folder[5:8]) |
|
|
454 | 454 | except: |
|
|
455 | 455 | return None |
|
|
456 | 456 | |
|
|
457 | 457 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1) |
|
|
458 | 458 | return thisDate |
|
|
459 | 459 | |
|
|
460 | 460 | class JRODataIO: |
|
|
461 | 461 | |
|
|
462 | 462 | c = 3E8 |
|
|
463 | 463 | |
|
|
464 | 464 | isConfig = False |
|
|
465 | 465 | |
|
|
466 | 466 | basicHeaderObj = None |
|
|
467 | 467 | |
|
|
468 | 468 | systemHeaderObj = None |
|
|
469 | 469 | |
|
|
470 | 470 | radarControllerHeaderObj = None |
|
|
471 | 471 | |
|
|
472 | 472 | processingHeaderObj = None |
|
|
473 | 473 | |
|
|
474 | 474 | dtype = None |
|
|
475 | 475 | |
|
|
476 | 476 | pathList = [] |
|
|
477 | 477 | |
|
|
478 | 478 | filenameList = [] |
|
|
479 | 479 | |
|
|
480 | 480 | filename = None |
|
|
481 | 481 | |
|
|
482 | 482 | ext = None |
|
|
483 | 483 | |
|
|
484 | 484 | flagIsNewFile = 1 |
|
|
485 | 485 | |
|
|
486 | 486 | flagDiscontinuousBlock = 0 |
|
|
487 | 487 | |
|
|
488 | 488 | flagIsNewBlock = 0 |
|
|
489 | 489 | |
|
|
490 | 490 | fp = None |
|
|
491 | 491 | |
|
|
492 | 492 | firstHeaderSize = 0 |
|
|
493 | 493 | |
|
|
494 | 494 | basicHeaderSize = 24 |
|
|
495 | 495 | |
|
|
496 | 496 | versionFile = 1103 |
|
|
497 | 497 | |
|
|
498 | 498 | fileSize = None |
|
|
499 | 499 | |
|
|
500 | 500 | # ippSeconds = None |
|
|
501 | 501 | |
|
|
502 | 502 | fileSizeByHeader = None |
|
|
503 | 503 | |
|
|
504 | 504 | fileIndex = None |
|
|
505 | 505 | |
|
|
506 | 506 | profileIndex = None |
|
|
507 | 507 | |
|
|
508 | 508 | blockIndex = None |
|
|
509 | 509 | |
|
|
510 | 510 | nTotalBlocks = None |
|
|
511 | 511 | |
|
|
512 | 512 | maxTimeStep = 30 |
|
|
513 | 513 | |
|
|
514 | 514 | lastUTTime = None |
|
|
515 | 515 | |
|
|
516 | 516 | datablock = None |
|
|
517 | 517 | |
|
|
518 | 518 | dataOut = None |
|
|
519 | 519 | |
|
|
520 | 520 | blocksize = None |
|
|
521 | 521 | |
|
|
522 | 522 | getByBlock = False |
|
|
523 | 523 | |
|
|
524 | 524 | def __init__(self): |
|
|
525 | 525 | |
|
|
526 | 526 | raise NotImplementedError |
|
|
527 | 527 | |
|
|
528 | 528 | def run(self): |
|
|
529 | 529 | |
|
|
530 | 530 | raise NotImplementedError |
|
|
531 | 531 | |
|
|
532 | 532 | def getDtypeWidth(self): |
|
|
533 | 533 | |
|
|
534 | 534 | dtype_index = get_dtype_index(self.dtype) |
|
|
535 | 535 | dtype_width = get_dtype_width(dtype_index) |
|
|
536 | 536 | |
|
|
537 | 537 | return dtype_width |
|
|
538 | 538 | |
|
|
539 | 539 | def getAllowedArgs(self): |
|
|
540 | 540 | return inspect.getargspec(self.run).args |
|
|
541 | 541 | |
|
|
542 | 542 | class JRODataReader(JRODataIO): |
|
|
543 | 543 | |
|
|
544 | 544 | |
|
|
545 | 545 | online = 0 |
|
|
546 | 546 | |
|
|
547 | 547 | realtime = 0 |
|
|
548 | 548 | |
|
|
549 | 549 | nReadBlocks = 0 |
|
|
550 | 550 | |
|
|
551 | 551 | delay = 10 #number of seconds waiting a new file |
|
|
552 | 552 | |
|
|
553 | 553 | nTries = 3 #quantity tries |
|
|
554 | 554 | |
|
|
555 | 555 | nFiles = 3 #number of files for searching |
|
|
556 | 556 | |
|
|
557 | 557 | path = None |
|
|
558 | 558 | |
|
|
559 | 559 | foldercounter = 0 |
|
|
560 | 560 | |
|
|
561 | 561 | flagNoMoreFiles = 0 |
|
|
562 | 562 | |
|
|
563 | 563 | datetimeList = [] |
|
|
564 | 564 | |
|
|
565 | 565 | __isFirstTimeOnline = 1 |
|
|
566 | 566 | |
|
|
567 | 567 | __printInfo = True |
|
|
568 | 568 | |
|
|
569 | 569 | profileIndex = None |
|
|
570 | 570 | |
|
|
571 | 571 | nTxs = 1 |
|
|
572 | 572 | |
|
|
573 | 573 | txIndex = None |
|
|
574 | 574 | |
|
|
575 | 575 | #Added-------------------- |
|
|
576 | 576 | |
|
|
577 | 577 | selBlocksize = None |
|
|
578 | 578 | |
|
|
579 | 579 | selBlocktime = None |
|
|
580 | 580 | |
|
|
581 | 581 | |
|
|
582 | 582 | def __init__(self): |
|
|
583 | 583 | |
|
|
584 | 584 | """ |
|
|
585 | 585 | This class is used to find data files |
|
|
586 | 586 | |
|
|
587 | 587 | Example: |
|
|
588 | 588 | reader = JRODataReader() |
|
|
589 | 589 | fileList = reader.findDataFiles() |
|
|
590 | 590 | |
|
|
591 | 591 | """ |
|
|
592 | 592 | pass |
|
|
593 | 593 | |
|
|
594 | 594 | |
|
|
595 | 595 | def createObjByDefault(self): |
|
|
596 | 596 | """ |
|
|
597 | 597 | |
|
|
598 | 598 | """ |
|
|
599 | 599 | raise NotImplementedError |
|
|
600 | 600 | |
|
|
601 | 601 | def getBlockDimension(self): |
|
|
602 | 602 | |
|
|
603 | 603 | raise NotImplementedError |
|
|
604 | 604 | |
|
|
605 | 605 | def __searchFilesOffLine(self, |
|
|
606 | 606 | path, |
|
|
607 | 607 | startDate=None, |
|
|
608 | 608 | endDate=None, |
|
|
609 | 609 | startTime=datetime.time(0,0,0), |
|
|
610 | 610 | endTime=datetime.time(23,59,59), |
|
|
611 | 611 | set=None, |
|
|
612 | 612 | expLabel='', |
|
|
613 | 613 | ext='.r', |
|
|
614 | 614 | queue=None, |
|
|
615 | 615 | cursor=None, |
|
|
616 | 616 | skip=None, |
|
|
617 | 617 | walk=True): |
|
|
618 | 618 | |
|
|
619 | 619 | self.filenameList = [] |
|
|
620 | 620 | self.datetimeList = [] |
|
|
621 | 621 | |
|
|
622 | 622 | pathList = [] |
|
|
623 | 623 | |
|
|
624 | 624 | dateList, pathList = self.findDatafiles(path, startDate, endDate, expLabel, ext, walk, include_path=True) |
|
|
625 | 625 | |
|
|
626 | 626 | if dateList == []: |
|
|
627 | 627 | # print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" %(startDate, endDate, ext, path) |
|
|
628 | 628 | return None, None |
|
|
629 | 629 | |
|
|
630 | 630 | if len(dateList) > 1: |
|
|
631 | 631 | print "[Reading] Data found for date range [%s - %s]: total days = %d" %(startDate, endDate, len(dateList)) |
|
|
632 | 632 | else: |
|
|
633 | 633 | print "[Reading] Data found for date range [%s - %s]: date = %s" %(startDate, endDate, dateList[0]) |
|
|
634 | 634 | |
|
|
635 | 635 | filenameList = [] |
|
|
636 | 636 | datetimeList = [] |
|
|
637 | 637 | |
|
|
638 | 638 | for thisPath in pathList: |
|
|
639 | 639 | # thisPath = pathList[pathDict[file]] |
|
|
640 | 640 | |
|
|
641 | 641 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|
642 | 642 | fileList.sort() |
|
|
643 | 643 | |
|
|
644 | 644 | skippedFileList = [] |
|
|
645 | 645 | |
|
|
646 | 646 | if cursor is not None and skip is not None: |
|
|
647 | 647 | # if cursor*skip > len(fileList): |
|
|
648 | 648 | if skip == 0: |
|
|
649 | 649 | if queue is not None: |
|
|
650 | 650 | queue.put(len(fileList)) |
|
|
651 | 651 | skippedFileList = [] |
|
|
652 | 652 | else: |
|
|
653 | 653 | skippedFileList = fileList[cursor*skip: cursor*skip + skip] |
|
|
654 | 654 | |
|
|
655 | 655 | else: |
|
|
656 | 656 | skippedFileList = fileList |
|
|
657 | 657 | |
|
|
658 | 658 | for file in skippedFileList: |
|
|
659 | 659 | |
|
|
660 | 660 | filename = os.path.join(thisPath,file) |
|
|
661 | 661 | |
|
|
662 | 662 | if not isFileInDateRange(filename, startDate, endDate): |
|
|
663 | 663 | continue |
|
|
664 | 664 | |
|
|
665 | 665 | thisDatetime = isFileInTimeRange(filename, startDate, endDate, startTime, endTime) |
|
|
666 | 666 | |
|
|
667 | 667 | if not(thisDatetime): |
|
|
668 | 668 | continue |
|
|
669 | 669 | |
|
|
670 | 670 | filenameList.append(filename) |
|
|
671 | 671 | datetimeList.append(thisDatetime) |
|
|
672 | 672 | |
|
|
673 | 673 | if not(filenameList): |
|
|
674 | 674 | print "[Reading] Time range selected invalid [%s - %s]: No *%s files in %s)" %(startTime, endTime, ext, path) |
|
|
675 | 675 | return None, None |
|
|
676 | 676 | |
|
|
677 | 677 | print "[Reading] %d file(s) was(were) found in time range: %s - %s" %(len(filenameList), startTime, endTime) |
|
|
678 | 678 | |
|
|
679 | 679 | |
|
|
680 | 680 | for i in range(len(filenameList)): |
|
|
681 | 681 | print "[Reading] %s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) |
|
|
682 | 682 | |
|
|
683 | 683 | self.filenameList = filenameList |
|
|
684 | 684 | self.datetimeList = datetimeList |
|
|
685 | 685 | |
|
|
686 | 686 | return pathList, filenameList |
|
|
687 | 687 | |
|
|
688 | 688 | def __searchFilesOnLine(self, path, expLabel = "", ext = None, walk=True, set=None): |
|
|
689 | 689 | |
|
|
690 | 690 | """ |
|
|
691 | 691 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y |
|
|
692 | 692 | devuelve el archivo encontrado ademas de otros datos. |
|
|
693 | 693 | |
|
|
694 | 694 | Input: |
|
|
695 | 695 | path : carpeta donde estan contenidos los files que contiene data |
|
|
696 | 696 | |
|
|
697 | 697 | expLabel : Nombre del subexperimento (subfolder) |
|
|
698 | 698 | |
|
|
699 | 699 | ext : extension de los files |
|
|
700 | 700 | |
|
|
701 | 701 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
|
702 | 702 | |
|
|
703 | 703 | Return: |
|
|
704 | 704 | directory : eL directorio donde esta el file encontrado |
|
|
705 | 705 | filename : el ultimo file de una determinada carpeta |
|
|
706 | 706 | year : el anho |
|
|
707 | 707 | doy : el numero de dia del anho |
|
|
708 | 708 | set : el set del archivo |
|
|
709 | 709 | |
|
|
710 | 710 | |
|
|
711 | 711 | """ |
|
|
712 | 712 | if not os.path.isdir(path): |
|
|
713 | 713 | return None, None, None, None, None, None |
|
|
714 | 714 | |
|
|
715 | 715 | dirList = [] |
|
|
716 | 716 | |
|
|
717 | 717 | if not walk: |
|
|
718 | 718 | fullpath = path |
|
|
719 | 719 | foldercounter = 0 |
|
|
720 | 720 | else: |
|
|
721 | 721 | #Filtra solo los directorios |
|
|
722 | 722 | for thisPath in os.listdir(path): |
|
|
723 | 723 | if not os.path.isdir(os.path.join(path,thisPath)): |
|
|
724 | 724 | continue |
|
|
725 | 725 | if not isRadarFolder(thisPath): |
|
|
726 | 726 | continue |
|
|
727 | 727 | |
|
|
728 | 728 | dirList.append(thisPath) |
|
|
729 | 729 | |
|
|
730 | 730 | if not(dirList): |
|
|
731 | 731 | return None, None, None, None, None, None |
|
|
732 | 732 | |
|
|
733 | 733 | dirList = sorted( dirList, key=str.lower ) |
|
|
734 | 734 | |
|
|
735 | 735 | doypath = dirList[-1] |
|
|
736 | 736 | foldercounter = int(doypath.split('_')[1]) if len(doypath.split('_'))>1 else 0 |
|
|
737 | 737 | fullpath = os.path.join(path, doypath, expLabel) |
|
|
738 | 738 | |
|
|
739 | 739 | |
|
|
740 | 740 | print "[Reading] %s folder was found: " %(fullpath ) |
|
|
741 | 741 | |
|
|
742 | 742 | if set == None: |
|
|
743 | 743 | filename = getlastFileFromPath(fullpath, ext) |
|
|
744 | 744 | else: |
|
|
745 | 745 | filename = getFileFromSet(fullpath, ext, set) |
|
|
746 | 746 | |
|
|
747 | 747 | if not(filename): |
|
|
748 | 748 | return None, None, None, None, None, None |
|
|
749 | 749 | |
|
|
750 | 750 | print "[Reading] %s file was found" %(filename) |
|
|
751 | 751 | |
|
|
752 | 752 | if not(self.__verifyFile(os.path.join(fullpath, filename))): |
|
|
753 | 753 | return None, None, None, None, None, None |
|
|
754 | 754 | |
|
|
755 | 755 | year = int( filename[1:5] ) |
|
|
756 | 756 | doy = int( filename[5:8] ) |
|
|
757 | 757 | set = int( filename[8:11] ) |
|
|
758 | 758 | |
|
|
759 | 759 | return fullpath, foldercounter, filename, year, doy, set |
|
|
760 | 760 | |
|
|
761 | 761 | def __setNextFileOffline(self): |
|
|
762 | 762 | |
|
|
763 | 763 | idFile = self.fileIndex |
|
|
764 | 764 | |
|
|
765 | 765 | while (True): |
|
|
766 | 766 | idFile += 1 |
|
|
767 | 767 | if not(idFile < len(self.filenameList)): |
|
|
768 | 768 | self.flagNoMoreFiles = 1 |
|
|
769 | 769 | # print "[Reading] No more Files" |
|
|
770 | 770 | return 0 |
|
|
771 | 771 | |
|
|
772 | 772 | filename = self.filenameList[idFile] |
|
|
773 | 773 | |
|
|
774 | 774 | if not(self.__verifyFile(filename)): |
|
|
775 | 775 | continue |
|
|
776 | 776 | |
|
|
777 | 777 | fileSize = os.path.getsize(filename) |
|
|
778 | 778 | fp = open(filename,'rb') |
|
|
779 | 779 | break |
|
|
780 | 780 | |
|
|
781 | 781 | self.flagIsNewFile = 1 |
|
|
782 | 782 | self.fileIndex = idFile |
|
|
783 | 783 | self.filename = filename |
|
|
784 | 784 | self.fileSize = fileSize |
|
|
785 | 785 | self.fp = fp |
|
|
786 | 786 | |
|
|
787 | 787 | # print "[Reading] Setting the file: %s"%self.filename |
|
|
788 | 788 | |
|
|
789 | 789 | return 1 |
|
|
790 | 790 | |
|
|
791 | 791 | def __setNextFileOnline(self): |
|
|
792 | 792 | """ |
|
|
793 | 793 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si |
|
|
794 | 794 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files |
|
|
795 | 795 | siguientes. |
|
|
796 | 796 | |
|
|
797 | 797 | Affected: |
|
|
798 | 798 | self.flagIsNewFile |
|
|
799 | 799 | self.filename |
|
|
800 | 800 | self.fileSize |
|
|
801 | 801 | self.fp |
|
|
802 | 802 | self.set |
|
|
803 | 803 | self.flagNoMoreFiles |
|
|
804 | 804 | |
|
|
805 | 805 | Return: |
|
|
806 | 806 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado |
|
|
807 | 807 | 1 : si el file fue abierto con exito y esta listo a ser leido |
|
|
808 | 808 | |
|
|
809 | 809 | Excepciones: |
|
|
810 | 810 | Si un determinado file no puede ser abierto |
|
|
811 | 811 | """ |
|
|
812 | 812 | nFiles = 0 |
|
|
813 | 813 | fileOk_flag = False |
|
|
814 | 814 | firstTime_flag = True |
|
|
815 | 815 | |
|
|
816 | 816 | self.set += 1 |
|
|
817 | 817 | |
|
|
818 | 818 | if self.set > 999: |
|
|
819 | 819 | self.set = 0 |
|
|
820 | 820 | self.foldercounter += 1 |
|
|
821 | 821 | |
|
|
822 | 822 | #busca el 1er file disponible |
|
|
823 | 823 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|
824 | 824 | if fullfilename: |
|
|
825 | 825 | if self.__verifyFile(fullfilename, False): |
|
|
826 | 826 | fileOk_flag = True |
|
|
827 | 827 | |
|
|
828 | 828 | #si no encuentra un file entonces espera y vuelve a buscar |
|
|
829 | 829 | if not(fileOk_flag): |
|
|
830 | 830 | for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles |
|
|
831 | 831 | |
|
|
832 | 832 | if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces |
|
|
833 | 833 | tries = self.nTries |
|
|
834 | 834 | else: |
|
|
835 | 835 | tries = 1 #si no es la 1era vez entonces solo lo hace una vez |
|
|
836 | 836 | |
|
|
837 | 837 | for nTries in range( tries ): |
|
|
838 | 838 | if firstTime_flag: |
|
|
839 | 839 | print "\t[Reading] Waiting %0.2f sec for the next file: \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 ) |
|
|
840 | 840 | sleep( self.delay ) |
|
|
841 | 841 | else: |
|
|
842 | 842 | print "\t[Reading] Searching the next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext) |
|
|
843 | 843 | |
|
|
844 | 844 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|
845 | 845 | if fullfilename: |
|
|
846 | 846 | if self.__verifyFile(fullfilename): |
|
|
847 | 847 | fileOk_flag = True |
|
|
848 | 848 | break |
|
|
849 | 849 | |
|
|
850 | 850 | if fileOk_flag: |
|
|
851 | 851 | break |
|
|
852 | 852 | |
|
|
853 | 853 | firstTime_flag = False |
|
|
854 | 854 | |
|
|
855 | 855 | print "\t[Reading] Skipping the file \"%s\" due to this file doesn't exist" % filename |
|
|
856 | 856 | self.set += 1 |
|
|
857 | 857 | |
|
|
858 | 858 | if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta |
|
|
859 | 859 | self.set = 0 |
|
|
860 | 860 | self.doy += 1 |
|
|
861 | 861 | self.foldercounter = 0 |
|
|
862 | 862 | |
|
|
863 | 863 | if fileOk_flag: |
|
|
864 | 864 | self.fileSize = os.path.getsize( fullfilename ) |
|
|
865 | 865 | self.filename = fullfilename |
|
|
866 | 866 | self.flagIsNewFile = 1 |
|
|
867 | 867 | if self.fp != None: self.fp.close() |
|
|
868 | 868 | self.fp = open(fullfilename, 'rb') |
|
|
869 | 869 | self.flagNoMoreFiles = 0 |
|
|
870 | 870 | # print '[Reading] Setting the file: %s' % fullfilename |
|
|
871 | 871 | else: |
|
|
872 | 872 | self.fileSize = 0 |
|
|
873 | 873 | self.filename = None |
|
|
874 | 874 | self.flagIsNewFile = 0 |
|
|
875 | 875 | self.fp = None |
|
|
876 | 876 | self.flagNoMoreFiles = 1 |
|
|
877 | 877 | # print '[Reading] No more files to read' |
|
|
878 | 878 | |
|
|
879 | 879 | return fileOk_flag |
|
|
880 | 880 | |
|
|
881 | 881 | def setNextFile(self): |
|
|
882 | 882 | if self.fp != None: |
|
|
883 | 883 | self.fp.close() |
|
|
884 | 884 | |
|
|
885 | 885 | if self.online: |
|
|
886 | 886 | newFile = self.__setNextFileOnline() |
|
|
887 | 887 | else: |
|
|
888 | 888 | newFile = self.__setNextFileOffline() |
|
|
889 | 889 | |
|
|
890 | 890 | if not(newFile): |
|
|
891 | 891 | print '[Reading] No more files to read' |
|
|
892 | 892 | return 0 |
|
|
893 | 893 | |
|
|
894 | 894 | if self.verbose: |
|
|
895 | 895 | print '[Reading] Setting the file: %s' % self.filename |
|
|
896 | 896 | |
|
|
897 | 897 | self.__readFirstHeader() |
|
|
898 | 898 | self.nReadBlocks = 0 |
|
|
899 | 899 | return 1 |
|
|
900 | 900 | |
|
|
901 | 901 | def __waitNewBlock(self): |
|
|
902 | 902 | """ |
|
|
903 | 903 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|
904 | 904 | |
|
|
905 | 905 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|
906 | 906 | """ |
|
|
907 | 907 | if not self.online: |
|
|
908 | 908 | return 0 |
|
|
909 | 909 | |
|
|
910 | 910 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
|
911 | 911 | return 0 |
|
|
912 | 912 | |
|
|
913 | 913 | currentPointer = self.fp.tell() |
|
|
914 | 914 | |
|
|
915 | 915 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
916 | 916 | |
|
|
917 | 917 | for nTries in range( self.nTries ): |
|
|
918 | 918 | |
|
|
919 | 919 | self.fp.close() |
|
|
920 | 920 | self.fp = open( self.filename, 'rb' ) |
|
|
921 | 921 | self.fp.seek( currentPointer ) |
|
|
922 | 922 | |
|
|
923 | 923 | self.fileSize = os.path.getsize( self.filename ) |
|
|
924 | 924 | currentSize = self.fileSize - currentPointer |
|
|
925 | 925 | |
|
|
926 | 926 | if ( currentSize >= neededSize ): |
|
|
927 | 927 | self.basicHeaderObj.read(self.fp) |
|
|
928 | 928 | return 1 |
|
|
929 | 929 | |
|
|
930 | 930 | if self.fileSize == self.fileSizeByHeader: |
|
|
931 | 931 | # self.flagEoF = True |
|
|
932 | 932 | return 0 |
|
|
933 | 933 | |
|
|
934 | 934 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|
935 | 935 | sleep( self.delay ) |
|
|
936 | 936 | |
|
|
937 | 937 | |
|
|
938 | 938 | return 0 |
|
|
939 | 939 | |
|
|
940 | 940 | def waitDataBlock(self,pointer_location): |
|
|
941 | 941 | |
|
|
942 | 942 | currentPointer = pointer_location |
|
|
943 | 943 | |
|
|
944 | 944 | neededSize = self.processingHeaderObj.blockSize #+ self.basicHeaderSize |
|
|
945 | 945 | |
|
|
946 | 946 | for nTries in range( self.nTries ): |
|
|
947 | 947 | self.fp.close() |
|
|
948 | 948 | self.fp = open( self.filename, 'rb' ) |
|
|
949 | 949 | self.fp.seek( currentPointer ) |
|
|
950 | 950 | |
|
|
951 | 951 | self.fileSize = os.path.getsize( self.filename ) |
|
|
952 | 952 | currentSize = self.fileSize - currentPointer |
|
|
953 | 953 | |
|
|
954 | 954 | if ( currentSize >= neededSize ): |
|
|
955 | 955 | return 1 |
|
|
956 | 956 | |
|
|
957 | 957 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|
958 | 958 | sleep( self.delay ) |
|
|
959 | 959 | |
|
|
960 | 960 | return 0 |
|
|
961 | 961 | |
|
|
962 | 962 | def __jumpToLastBlock(self): |
|
|
963 | 963 | |
|
|
964 | 964 | if not(self.__isFirstTimeOnline): |
|
|
965 | 965 | return |
|
|
966 | 966 | |
|
|
967 | 967 | csize = self.fileSize - self.fp.tell() |
|
|
968 | 968 | blocksize = self.processingHeaderObj.blockSize |
|
|
969 | 969 | |
|
|
970 | 970 | #salta el primer bloque de datos |
|
|
971 | 971 | if csize > self.processingHeaderObj.blockSize: |
|
|
972 | 972 | self.fp.seek(self.fp.tell() + blocksize) |
|
|
973 | 973 | else: |
|
|
974 | 974 | return |
|
|
975 | 975 | |
|
|
976 | 976 | csize = self.fileSize - self.fp.tell() |
|
|
977 | 977 | neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
978 | 978 | while True: |
|
|
979 | 979 | |
|
|
980 | 980 | if self.fp.tell()<self.fileSize: |
|
|
981 | 981 | self.fp.seek(self.fp.tell() + neededsize) |
|
|
982 | 982 | else: |
|
|
983 | 983 | self.fp.seek(self.fp.tell() - neededsize) |
|
|
984 | 984 | break |
|
|
985 | 985 | |
|
|
986 | 986 | # csize = self.fileSize - self.fp.tell() |
|
|
987 | 987 | # neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
988 | 988 | # factor = int(csize/neededsize) |
|
|
989 | 989 | # if factor > 0: |
|
|
990 | 990 | # self.fp.seek(self.fp.tell() + factor*neededsize) |
|
|
991 | 991 | |
|
|
992 | 992 | self.flagIsNewFile = 0 |
|
|
993 | 993 | self.__isFirstTimeOnline = 0 |
|
|
994 | 994 | |
|
|
995 | 995 | def __setNewBlock(self): |
|
|
996 | 996 | |
|
|
997 | 997 | if self.fp == None: |
|
|
998 | 998 | return 0 |
|
|
999 | 999 | |
|
|
1000 | 1000 | # if self.online: |
|
|
1001 | 1001 | # self.__jumpToLastBlock() |
|
|
1002 | 1002 | |
|
|
1003 | 1003 | if self.flagIsNewFile: |
|
|
1004 | 1004 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1005 | 1005 | return 1 |
|
|
1006 | 1006 | |
|
|
1007 | 1007 | if self.realtime: |
|
|
1008 | 1008 | self.flagDiscontinuousBlock = 1 |
|
|
1009 | 1009 | if not(self.setNextFile()): |
|
|
1010 | 1010 | return 0 |
|
|
1011 | 1011 | else: |
|
|
1012 | 1012 | return 1 |
|
|
1013 | 1013 | |
|
|
1014 | 1014 | currentSize = self.fileSize - self.fp.tell() |
|
|
1015 | 1015 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
1016 | 1016 | |
|
|
1017 | 1017 | if (currentSize >= neededSize): |
|
|
1018 | 1018 | self.basicHeaderObj.read(self.fp) |
|
|
1019 | 1019 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1020 | 1020 | return 1 |
|
|
1021 | 1021 | |
|
|
1022 | 1022 | if self.__waitNewBlock(): |
|
|
1023 | 1023 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1024 | 1024 | return 1 |
|
|
1025 | 1025 | |
|
|
1026 | 1026 | if not(self.setNextFile()): |
|
|
1027 | 1027 | return 0 |
|
|
1028 | 1028 | |
|
|
1029 | 1029 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime # |
|
|
1030 | 1030 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1031 | 1031 | |
|
|
1032 | 1032 | self.flagDiscontinuousBlock = 0 |
|
|
1033 | 1033 | |
|
|
1034 | 1034 | if deltaTime > self.maxTimeStep: |
|
|
1035 | 1035 | self.flagDiscontinuousBlock = 1 |
|
|
1036 | 1036 | |
|
|
1037 | 1037 | return 1 |
|
|
1038 | 1038 | |
|
|
1039 | 1039 | def readNextBlock(self): |
|
|
1040 | 1040 | |
|
|
1041 | 1041 | #Skip block out of startTime and endTime |
|
|
1042 | 1042 | while True: |
|
|
1043 | 1043 | if not(self.__setNewBlock()): |
|
|
1044 | 1044 | return 0 |
|
|
1045 | 1045 | |
|
|
1046 | 1046 | if not(self.readBlock()): |
|
|
1047 | 1047 | return 0 |
|
|
1048 | 1048 | |
|
|
1049 | 1049 | self.getBasicHeader() |
|
|
1050 | 1050 | |
|
|
1051 | 1051 | if not isTimeInRange(self.dataOut.datatime.time(), self.startTime, self.endTime): |
|
|
1052 | 1052 | |
|
|
1053 | 1053 | print "[Reading] Block No. %d/%d -> %s [Skipping]" %(self.nReadBlocks, |
|
|
1054 | 1054 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
1055 | 1055 | self.dataOut.datatime.ctime()) |
|
|
1056 | 1056 | continue |
|
|
1057 | 1057 | |
|
|
1058 | 1058 | break |
|
|
1059 | 1059 | |
|
|
1060 | 1060 | if self.verbose: |
|
|
1061 | 1061 | print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, |
|
|
1062 | 1062 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
1063 | 1063 | self.dataOut.datatime.ctime()) |
|
|
1064 | 1064 | return 1 |
|
|
1065 | 1065 | |
|
|
1066 | 1066 | def __readFirstHeader(self): |
|
|
1067 | 1067 | |
|
|
1068 | 1068 | self.basicHeaderObj.read(self.fp) |
|
|
1069 | 1069 | self.systemHeaderObj.read(self.fp) |
|
|
1070 | 1070 | self.radarControllerHeaderObj.read(self.fp) |
|
|
1071 | 1071 | self.processingHeaderObj.read(self.fp) |
|
|
1072 | 1072 | |
|
|
1073 | 1073 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
1074 | 1074 | |
|
|
1075 | 1075 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
1076 | 1076 | if datatype == 0: |
|
|
1077 | 1077 | datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
1078 | 1078 | elif datatype == 1: |
|
|
1079 | 1079 | datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
1080 | 1080 | elif datatype == 2: |
|
|
1081 | 1081 | datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
1082 | 1082 | elif datatype == 3: |
|
|
1083 | 1083 | datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
1084 | 1084 | elif datatype == 4: |
|
|
1085 | 1085 | datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
1086 | 1086 | elif datatype == 5: |
|
|
1087 | 1087 | datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
1088 | 1088 | else: |
|
|
1089 | 1089 | raise ValueError, 'Data type was not defined' |
|
|
1090 | 1090 | |
|
|
1091 | 1091 | self.dtype = datatype_str |
|
|
1092 | 1092 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
1093 | 1093 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
1094 | 1094 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
1095 | 1095 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
1096 | 1096 | self.getBlockDimension() |
|
|
1097 | 1097 | |
|
|
1098 | 1098 | def __verifyFile(self, filename, msgFlag=True): |
|
|
1099 | 1099 | |
|
|
1100 | 1100 | msg = None |
|
|
1101 | 1101 | |
|
|
1102 | 1102 | try: |
|
|
1103 | 1103 | fp = open(filename, 'rb') |
|
|
1104 | 1104 | except IOError: |
|
|
1105 | 1105 | |
|
|
1106 | 1106 | if msgFlag: |
|
|
1107 | 1107 | print "[Reading] File %s can't be opened" % (filename) |
|
|
1108 | 1108 | |
|
|
1109 | 1109 | return False |
|
|
1110 | 1110 | |
|
|
1111 | 1111 | currentPosition = fp.tell() |
|
|
1112 | 1112 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize |
|
|
1113 | 1113 | |
|
|
1114 | 1114 | if neededSize == 0: |
|
|
1115 | 1115 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
1116 | 1116 | systemHeaderObj = SystemHeader() |
|
|
1117 | 1117 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
1118 | 1118 | processingHeaderObj = ProcessingHeader() |
|
|
1119 | 1119 | |
|
|
1120 | 1120 | if not( basicHeaderObj.read(fp) ): |
|
|
1121 | 1121 | fp.close() |
|
|
1122 | 1122 | return False |
|
|
1123 | 1123 | |
|
|
1124 | 1124 | if not( systemHeaderObj.read(fp) ): |
|
|
1125 | 1125 | fp.close() |
|
|
1126 | 1126 | return False |
|
|
1127 | 1127 | |
|
|
1128 | 1128 | if not( radarControllerHeaderObj.read(fp) ): |
|
|
1129 | 1129 | fp.close() |
|
|
1130 | 1130 | return False |
|
|
1131 | 1131 | |
|
|
1132 | 1132 | if not( processingHeaderObj.read(fp) ): |
|
|
1133 | 1133 | fp.close() |
|
|
1134 | 1134 | return False |
|
|
1135 | 1135 | |
|
|
1136 | 1136 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size |
|
|
1137 | 1137 | else: |
|
|
1138 | 1138 | msg = "[Reading] Skipping the file %s due to it hasn't enough data" %filename |
|
|
1139 | 1139 | |
|
|
1140 | 1140 | fp.close() |
|
|
1141 | 1141 | |
|
|
1142 | 1142 | fileSize = os.path.getsize(filename) |
|
|
1143 | 1143 | currentSize = fileSize - currentPosition |
|
|
1144 | 1144 | |
|
|
1145 | 1145 | if currentSize < neededSize: |
|
|
1146 | 1146 | if msgFlag and (msg != None): |
|
|
1147 | 1147 | print msg |
|
|
1148 | 1148 | return False |
|
|
1149 | 1149 | |
|
|
1150 | 1150 | return True |
|
|
1151 | 1151 | |
|
|
1152 | 1152 | def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True, include_path=False): |
|
|
1153 | 1153 | |
|
|
1154 | 1154 | path_empty = True |
|
|
1155 | 1155 | |
|
|
1156 | 1156 | dateList = [] |
|
|
1157 | 1157 | pathList = [] |
|
|
1158 | 1158 | |
|
|
1159 | 1159 | multi_path = path.split(',') |
|
|
1160 | 1160 | |
|
|
1161 | 1161 | if not walk: |
|
|
1162 | 1162 | |
|
|
1163 | 1163 | for single_path in multi_path: |
|
|
1164 | 1164 | |
|
|
1165 | 1165 | if not os.path.isdir(single_path): |
|
|
1166 | 1166 | continue |
|
|
1167 | 1167 | |
|
|
1168 | 1168 | fileList = glob.glob1(single_path, "*"+ext) |
|
|
1169 | 1169 | |
|
|
1170 | 1170 | if not fileList: |
|
|
1171 | 1171 | continue |
|
|
1172 | 1172 | |
|
|
1173 | 1173 | path_empty = False |
|
|
1174 | 1174 | |
|
|
1175 | 1175 | fileList.sort() |
|
|
1176 | 1176 | |
|
|
1177 | 1177 | for thisFile in fileList: |
|
|
1178 | 1178 | |
|
|
1179 | 1179 | if not os.path.isfile(os.path.join(single_path, thisFile)): |
|
|
1180 | 1180 | continue |
|
|
1181 | 1181 | |
|
|
1182 | 1182 | if not isRadarFile(thisFile): |
|
|
1183 | 1183 | continue |
|
|
1184 | 1184 | |
|
|
1185 | 1185 | if not isFileInDateRange(thisFile, startDate, endDate): |
|
|
1186 | 1186 | continue |
|
|
1187 | 1187 | |
|
|
1188 | 1188 | thisDate = getDateFromRadarFile(thisFile) |
|
|
1189 | 1189 | |
|
|
1190 | 1190 | if thisDate in dateList: |
|
|
1191 | 1191 | continue |
|
|
1192 | 1192 | |
|
|
1193 | 1193 | dateList.append(thisDate) |
|
|
1194 | 1194 | pathList.append(single_path) |
|
|
1195 | 1195 | |
|
|
1196 | 1196 | else: |
|
|
1197 | 1197 | for single_path in multi_path: |
|
|
1198 | 1198 | |
|
|
1199 | 1199 | if not os.path.isdir(single_path): |
|
|
1200 | 1200 | continue |
|
|
1201 | 1201 | |
|
|
1202 | 1202 | dirList = [] |
|
|
1203 | 1203 | |
|
|
1204 | 1204 | for thisPath in os.listdir(single_path): |
|
|
1205 | 1205 | |
|
|
1206 | 1206 | if not os.path.isdir(os.path.join(single_path,thisPath)): |
|
|
1207 | 1207 | continue |
|
|
1208 | 1208 | |
|
|
1209 | 1209 | if not isRadarFolder(thisPath): |
|
|
1210 | 1210 | continue |
|
|
1211 | 1211 | |
|
|
1212 | 1212 | if not isFolderInDateRange(thisPath, startDate, endDate): |
|
|
1213 | 1213 | continue |
|
|
1214 | 1214 | |
|
|
1215 | 1215 | dirList.append(thisPath) |
|
|
1216 | 1216 | |
|
|
1217 | 1217 | if not dirList: |
|
|
1218 | 1218 | continue |
|
|
1219 | 1219 | |
|
|
1220 | 1220 | dirList.sort() |
|
|
1221 | 1221 | |
|
|
1222 | 1222 | for thisDir in dirList: |
|
|
1223 | 1223 | |
|
|
1224 | 1224 | datapath = os.path.join(single_path, thisDir, expLabel) |
|
|
1225 | 1225 | fileList = glob.glob1(datapath, "*"+ext) |
|
|
1226 | 1226 | |
|
|
1227 | 1227 | if not fileList: |
|
|
1228 | 1228 | continue |
|
|
1229 | 1229 | |
|
|
1230 | 1230 | path_empty = False |
|
|
1231 | 1231 | |
|
|
1232 | 1232 | thisDate = getDateFromRadarFolder(thisDir) |
|
|
1233 | 1233 | |
|
|
1234 | 1234 | pathList.append(datapath) |
|
|
1235 | 1235 | dateList.append(thisDate) |
|
|
1236 | 1236 | |
|
|
1237 | 1237 | dateList.sort() |
|
|
1238 | 1238 | |
|
|
1239 | 1239 | if walk: |
|
|
1240 | 1240 | pattern_path = os.path.join(multi_path[0], "[dYYYYDDD]", expLabel) |
|
|
1241 | 1241 | else: |
|
|
1242 | 1242 | pattern_path = multi_path[0] |
|
|
1243 | 1243 | |
|
|
1244 | 1244 | if path_empty: |
|
|
1245 | 1245 | print "[Reading] No *%s files in %s for %s to %s" %(ext, pattern_path, startDate, endDate) |
|
|
1246 | 1246 | else: |
|
|
1247 | 1247 | if not dateList: |
|
|
1248 | 1248 | print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" %(startDate, endDate, ext, path) |
|
|
1249 | 1249 | |
|
|
1250 | 1250 | if include_path: |
|
|
1251 | 1251 | return dateList, pathList |
|
|
1252 | 1252 | |
|
|
1253 | 1253 | return dateList |
|
|
1254 | 1254 | |
|
|
1255 | 1255 | def setup(self, |
|
|
1256 | 1256 | path=None, |
|
|
1257 | 1257 | startDate=None, |
|
|
1258 | 1258 | endDate=None, |
|
|
1259 | 1259 | startTime=datetime.time(0,0,0), |
|
|
1260 | 1260 | endTime=datetime.time(23,59,59), |
|
|
1261 | 1261 | set=None, |
|
|
1262 | 1262 | expLabel = "", |
|
|
1263 | 1263 | ext = None, |
|
|
1264 | 1264 | online = False, |
|
|
1265 | 1265 | delay = 60, |
|
|
1266 | 1266 | walk = True, |
|
|
1267 | 1267 | getblock = False, |
|
|
1268 | 1268 | nTxs = 1, |
|
|
1269 | 1269 | realtime=False, |
|
|
1270 | 1270 | blocksize=None, |
|
|
1271 | 1271 | blocktime=None, |
|
|
1272 | 1272 | queue=None, |
|
|
1273 | 1273 | skip=None, |
|
|
1274 | 1274 | cursor=None, |
|
|
1275 | 1275 | warnings=True, |
|
|
1276 | 1276 | verbose=True): |
|
|
1277 | 1277 | |
|
|
1278 | 1278 | if path == None: |
|
|
1279 | 1279 | raise ValueError, "[Reading] The path is not valid" |
|
|
1280 | 1280 | |
|
|
1281 | 1281 | if ext == None: |
|
|
1282 | 1282 | ext = self.ext |
|
|
1283 | 1283 | |
|
|
1284 | 1284 | if online: |
|
|
1285 | 1285 | print "[Reading] Searching files in online mode..." |
|
|
1286 | 1286 | |
|
|
1287 | 1287 | for nTries in range( self.nTries ): |
|
|
1288 | 1288 | fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext, walk=walk, set=set) |
|
|
1289 | 1289 | |
|
|
1290 | 1290 | if fullpath: |
|
|
1291 | 1291 | break |
|
|
1292 | 1292 | |
|
|
1293 | 1293 | print '[Reading] Waiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1) |
|
|
1294 | 1294 | sleep( self.delay ) |
|
|
1295 | 1295 | |
|
|
1296 | 1296 | if not(fullpath): |
|
|
1297 | 1297 | print "[Reading] There 'isn't any valid file in %s" % path |
|
|
1298 | 1298 | return |
|
|
1299 | 1299 | |
|
|
1300 | 1300 | self.year = year |
|
|
1301 | 1301 | self.doy = doy |
|
|
1302 | 1302 | self.set = set - 1 |
|
|
1303 | 1303 | self.path = path |
|
|
1304 | 1304 | self.foldercounter = foldercounter |
|
|
1305 | 1305 | last_set = None |
|
|
1306 | 1306 | |
|
|
1307 | 1307 | else: |
|
|
1308 | 1308 | print "[Reading] Searching files in offline mode ..." |
|
|
1309 | 1309 | pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
|
1310 | 1310 | startTime=startTime, endTime=endTime, |
|
|
1311 | 1311 | set=set, expLabel=expLabel, ext=ext, |
|
|
1312 | 1312 | walk=walk, cursor=cursor, |
|
|
1313 | 1313 | skip=skip, queue=queue) |
|
|
1314 | 1314 | |
|
|
1315 | 1315 | if not(pathList): |
|
|
1316 | 1316 | # print "[Reading] No *%s files in %s (%s - %s)"%(ext, path, |
|
|
1317 | 1317 | # datetime.datetime.combine(startDate,startTime).ctime(), |
|
|
1318 | 1318 | # datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
1319 | 1319 | |
|
|
1320 | 1320 | # sys.exit(-1) |
|
|
1321 | 1321 | |
|
|
1322 | 1322 | self.fileIndex = -1 |
|
|
1323 | 1323 | self.pathList = [] |
|
|
1324 | 1324 | self.filenameList = [] |
|
|
1325 | 1325 | return |
|
|
1326 | 1326 | |
|
|
1327 | 1327 | self.fileIndex = -1 |
|
|
1328 | 1328 | self.pathList = pathList |
|
|
1329 | 1329 | self.filenameList = filenameList |
|
|
1330 | 1330 | file_name = os.path.basename(filenameList[-1]) |
|
|
1331 | 1331 | basename, ext = os.path.splitext(file_name) |
|
|
1332 | 1332 | last_set = int(basename[-3:]) |
|
|
1333 | 1333 | |
|
|
1334 | 1334 | self.online = online |
|
|
1335 | 1335 | self.realtime = realtime |
|
|
1336 | 1336 | self.delay = delay |
|
|
1337 | 1337 | ext = ext.lower() |
|
|
1338 | 1338 | self.ext = ext |
|
|
1339 | 1339 | self.getByBlock = getblock |
|
|
1340 | 1340 | self.nTxs = nTxs |
|
|
1341 | 1341 | self.startTime = startTime |
|
|
1342 | 1342 | self.endTime = endTime |
|
|
1343 | 1343 | |
|
|
1344 | 1344 | #Added----------------- |
|
|
1345 | 1345 | self.selBlocksize = blocksize |
|
|
1346 | 1346 | self.selBlocktime = blocktime |
|
|
1347 | 1347 | |
|
|
1348 | 1348 | # Verbose----------- |
|
|
1349 | 1349 | self.verbose = verbose |
|
|
1350 | 1350 | self.warnings = warnings |
|
|
1351 | 1351 | |
|
|
1352 | 1352 | if not(self.setNextFile()): |
|
|
1353 | 1353 | if (startDate!=None) and (endDate!=None): |
|
|
1354 | 1354 | print "[Reading] No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
1355 | 1355 | elif startDate != None: |
|
|
1356 | 1356 | print "[Reading] No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime()) |
|
|
1357 | 1357 | else: |
|
|
1358 | 1358 | print "[Reading] No files" |
|
|
1359 | 1359 | |
|
|
1360 | 1360 | self.fileIndex = -1 |
|
|
1361 | 1361 | self.pathList = [] |
|
|
1362 | 1362 | self.filenameList = [] |
|
|
1363 | 1363 | return |
|
|
1364 | 1364 | |
|
|
1365 | 1365 | # self.getBasicHeader() |
|
|
1366 | 1366 | |
|
|
1367 | 1367 | if last_set != None: |
|
|
1368 | 1368 | self.dataOut.last_block = last_set * self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock |
|
|
1369 | 1369 | return |
|
|
1370 | 1370 | |
|
|
1371 | 1371 | def getBasicHeader(self): |
|
|
1372 | 1372 | |
|
|
1373 | 1373 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
|
1374 | 1374 | |
|
|
1375 | 1375 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
|
1376 | 1376 | |
|
|
1377 | 1377 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
|
1378 | 1378 | |
|
|
1379 | 1379 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
|
1380 | 1380 | |
|
|
1381 | 1381 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
|
1382 | 1382 | |
|
|
1383 | 1383 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
|
1384 | 1384 | |
|
|
1385 | 1385 | self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs |
|
|
1386 | 1386 | |
|
|
1387 | 1387 | # self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs |
|
|
1388 | 1388 | |
|
|
1389 | 1389 | |
|
|
1390 | 1390 | def getFirstHeader(self): |
|
|
1391 | 1391 | |
|
|
1392 | 1392 | raise NotImplementedError |
|
|
1393 | 1393 | |
|
|
1394 | 1394 | def getData(self): |
|
|
1395 | 1395 | |
|
|
1396 | 1396 | raise NotImplementedError |
|
|
1397 | 1397 | |
|
|
1398 | 1398 | def hasNotDataInBuffer(self): |
|
|
1399 | 1399 | |
|
|
1400 | 1400 | raise NotImplementedError |
|
|
1401 | 1401 | |
|
|
1402 | 1402 | def readBlock(self): |
|
|
1403 | 1403 | |
|
|
1404 | 1404 | raise NotImplementedError |
|
|
1405 | 1405 | |
|
|
1406 | 1406 | def isEndProcess(self): |
|
|
1407 | 1407 | |
|
|
1408 | 1408 | return self.flagNoMoreFiles |
|
|
1409 | 1409 | |
|
|
1410 | 1410 | def printReadBlocks(self): |
|
|
1411 | 1411 | |
|
|
1412 | 1412 | print "[Reading] Number of read blocks per file %04d" %self.nReadBlocks |
|
|
1413 | 1413 | |
|
|
1414 | 1414 | def printTotalBlocks(self): |
|
|
1415 | 1415 | |
|
|
1416 | 1416 | print "[Reading] Number of read blocks %04d" %self.nTotalBlocks |
|
|
1417 | 1417 | |
|
|
1418 | 1418 | def printNumberOfBlock(self): |
|
|
1419 | 1419 | 'SPAM!' |
|
|
1420 | 1420 | |
|
|
1421 | 1421 | # if self.flagIsNewBlock: |
|
|
1422 | 1422 | # print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, |
|
|
1423 | 1423 | # self.processingHeaderObj.dataBlocksPerFile, |
|
|
1424 | 1424 | # self.dataOut.datatime.ctime()) |
|
|
1425 | 1425 | |
|
|
1426 | 1426 | def printInfo(self): |
|
|
1427 | 1427 | |
|
|
1428 | 1428 | if self.__printInfo == False: |
|
|
1429 | 1429 | return |
|
|
1430 | 1430 | |
|
|
1431 | 1431 | self.basicHeaderObj.printInfo() |
|
|
1432 | 1432 | self.systemHeaderObj.printInfo() |
|
|
1433 | 1433 | self.radarControllerHeaderObj.printInfo() |
|
|
1434 | 1434 | self.processingHeaderObj.printInfo() |
|
|
1435 | 1435 | |
|
|
1436 | 1436 | self.__printInfo = False |
|
|
1437 | 1437 | |
|
|
1438 | 1438 | |
|
|
1439 | 1439 | def run(self, |
|
|
1440 | 1440 | path=None, |
|
|
1441 | 1441 | startDate=None, |
|
|
1442 | 1442 | endDate=None, |
|
|
1443 | 1443 | startTime=datetime.time(0,0,0), |
|
|
1444 | 1444 | endTime=datetime.time(23,59,59), |
|
|
1445 | 1445 | set=None, |
|
|
1446 | 1446 | expLabel = "", |
|
|
1447 | 1447 | ext = None, |
|
|
1448 | 1448 | online = False, |
|
|
1449 | 1449 | delay = 60, |
|
|
1450 | 1450 | walk = True, |
|
|
1451 | 1451 | getblock = False, |
|
|
1452 | 1452 | nTxs = 1, |
|
|
1453 | 1453 | realtime=False, |
|
|
1454 | 1454 | blocksize=None, |
|
|
1455 | 1455 | blocktime=None, |
|
|
1456 | 1456 | queue=None, |
|
|
1457 | 1457 | skip=None, |
|
|
1458 | 1458 | cursor=None, |
|
|
1459 | 1459 | warnings=True, |
|
|
1460 | 1460 | verbose=True, **kwargs): |
|
|
1461 | 1461 | |
|
|
1462 | 1462 | if not(self.isConfig): |
|
|
1463 | 1463 | # self.dataOut = dataOut |
|
|
1464 | 1464 | self.setup( path=path, |
|
|
1465 | 1465 | startDate=startDate, |
|
|
1466 | 1466 | endDate=endDate, |
|
|
1467 | 1467 | startTime=startTime, |
|
|
1468 | 1468 | endTime=endTime, |
|
|
1469 | 1469 | set=set, |
|
|
1470 | 1470 | expLabel=expLabel, |
|
|
1471 | 1471 | ext=ext, |
|
|
1472 | 1472 | online=online, |
|
|
1473 | 1473 | delay=delay, |
|
|
1474 | 1474 | walk=walk, |
|
|
1475 | 1475 | getblock=getblock, |
|
|
1476 | 1476 | nTxs=nTxs, |
|
|
1477 | 1477 | realtime=realtime, |
|
|
1478 | 1478 | blocksize=blocksize, |
|
|
1479 | 1479 | blocktime=blocktime, |
|
|
1480 | 1480 | queue=queue, |
|
|
1481 | 1481 | skip=skip, |
|
|
1482 | 1482 | cursor=cursor, |
|
|
1483 | 1483 | warnings=warnings, |
|
|
1484 | 1484 | verbose=verbose) |
|
|
1485 | 1485 | self.isConfig = True |
|
|
1486 | 1486 | |
|
|
1487 | 1487 | self.getData() |
|
|
1488 | 1488 | |
|
|
1489 | 1489 | class JRODataWriter(JRODataIO): |
|
|
1490 | 1490 | |
|
|
1491 | 1491 | """ |
|
|
1492 | 1492 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
1493 | 1493 | de los datos siempre se realiza por bloques. |
|
|
1494 | 1494 | """ |
|
|
1495 | 1495 | |
|
|
1496 | 1496 | blockIndex = 0 |
|
|
1497 | 1497 | |
|
|
1498 | 1498 | path = None |
|
|
1499 | 1499 | |
|
|
1500 | 1500 | setFile = None |
|
|
1501 | 1501 | |
|
|
1502 | 1502 | profilesPerBlock = None |
|
|
1503 | 1503 | |
|
|
1504 | 1504 | blocksPerFile = None |
|
|
1505 | 1505 | |
|
|
1506 | 1506 | nWriteBlocks = 0 |
|
|
1507 | 1507 | |
|
|
1508 | 1508 | fileDate = None |
|
|
1509 | 1509 | |
|
|
1510 | 1510 | def __init__(self, dataOut=None): |
|
|
1511 | 1511 | raise NotImplementedError |
|
|
1512 | 1512 | |
|
|
1513 | 1513 | |
|
|
1514 | 1514 | def hasAllDataInBuffer(self): |
|
|
1515 | 1515 | raise NotImplementedError |
|
|
1516 | 1516 | |
|
|
1517 | 1517 | |
|
|
1518 | 1518 | def setBlockDimension(self): |
|
|
1519 | 1519 | raise NotImplementedError |
|
|
1520 | 1520 | |
|
|
1521 | 1521 | |
|
|
1522 | 1522 | def writeBlock(self): |
|
|
1523 | 1523 | raise NotImplementedError |
|
|
1524 | 1524 | |
|
|
1525 | 1525 | |
|
|
1526 | 1526 | def putData(self): |
|
|
1527 | 1527 | raise NotImplementedError |
|
|
1528 | 1528 | |
|
|
1529 | 1529 | |
|
|
1530 | 1530 | def getProcessFlags(self): |
|
|
1531 | 1531 | |
|
|
1532 | 1532 | processFlags = 0 |
|
|
1533 | 1533 | |
|
|
1534 | 1534 | dtype_index = get_dtype_index(self.dtype) |
|
|
1535 | 1535 | procflag_dtype = get_procflag_dtype(dtype_index) |
|
|
1536 | 1536 | |
|
|
1537 | 1537 | processFlags += procflag_dtype |
|
|
1538 | 1538 | |
|
|
1539 | 1539 | if self.dataOut.flagDecodeData: |
|
|
1540 | 1540 | processFlags += PROCFLAG.DECODE_DATA |
|
|
1541 | 1541 | |
|
|
1542 | 1542 | if self.dataOut.flagDeflipData: |
|
|
1543 | 1543 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
1544 | 1544 | |
|
|
1545 | 1545 | if self.dataOut.code is not None: |
|
|
1546 | 1546 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
1547 | 1547 | |
|
|
1548 | 1548 | if self.dataOut.nCohInt > 1: |
|
|
1549 | 1549 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
|
1550 | 1550 | |
|
|
1551 | 1551 | if self.dataOut.type == "Spectra": |
|
|
1552 | 1552 | if self.dataOut.nIncohInt > 1: |
|
|
1553 | 1553 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION |
|
|
1554 | 1554 | |
|
|
1555 | 1555 | if self.dataOut.data_dc is not None: |
|
|
1556 | 1556 | processFlags += PROCFLAG.SAVE_CHANNELS_DC |
|
|
1557 | 1557 | |
|
|
1558 | 1558 | if self.dataOut.flagShiftFFT: |
|
|
1559 | 1559 | processFlags += PROCFLAG.SHIFT_FFT_DATA |
|
|
1560 | 1560 | |
|
|
1561 | 1561 | return processFlags |
|
|
1562 | 1562 | |
|
|
1563 | 1563 | def setBasicHeader(self): |
|
|
1564 | 1564 | |
|
|
1565 | 1565 | self.basicHeaderObj.size = self.basicHeaderSize #bytes |
|
|
1566 | 1566 | self.basicHeaderObj.version = self.versionFile |
|
|
1567 | 1567 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
1568 | 1568 | |
|
|
1569 | 1569 | utc = numpy.floor(self.dataOut.utctime) |
|
|
1570 | 1570 | milisecond = (self.dataOut.utctime - utc)* 1000.0 |
|
|
1571 | 1571 | |
|
|
1572 | 1572 | self.basicHeaderObj.utc = utc |
|
|
1573 | 1573 | self.basicHeaderObj.miliSecond = milisecond |
|
|
1574 | 1574 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
|
1575 | 1575 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
|
1576 | 1576 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
|
1577 | 1577 | |
|
|
1578 | 1578 | def setFirstHeader(self): |
|
|
1579 | 1579 | """ |
|
|
1580 | 1580 | Obtiene una copia del First Header |
|
|
1581 | 1581 | |
|
|
1582 | 1582 | Affected: |
|
|
1583 | 1583 | |
|
|
1584 | 1584 | self.basicHeaderObj |
|
|
1585 | 1585 | self.systemHeaderObj |
|
|
1586 | 1586 | self.radarControllerHeaderObj |
|
|
1587 | 1587 | self.processingHeaderObj self. |
|
|
1588 | 1588 | |
|
|
1589 | 1589 | Return: |
|
|
1590 | 1590 | None |
|
|
1591 | 1591 | """ |
|
|
1592 | 1592 | |
|
|
1593 | 1593 | raise NotImplementedError |
|
|
1594 | 1594 | |
|
|
1595 | 1595 | def __writeFirstHeader(self): |
|
|
1596 | 1596 | """ |
|
|
1597 | 1597 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
1598 | 1598 | |
|
|
1599 | 1599 | Affected: |
|
|
1600 | 1600 | __dataType |
|
|
1601 | 1601 | |
|
|
1602 | 1602 | Return: |
|
|
1603 | 1603 | None |
|
|
1604 | 1604 | """ |
|
|
1605 | 1605 | |
|
|
1606 | 1606 | # CALCULAR PARAMETROS |
|
|
1607 | 1607 | |
|
|
1608 | 1608 | sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
1609 | 1609 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
1610 | 1610 | |
|
|
1611 | 1611 | self.basicHeaderObj.write(self.fp) |
|
|
1612 | 1612 | self.systemHeaderObj.write(self.fp) |
|
|
1613 | 1613 | self.radarControllerHeaderObj.write(self.fp) |
|
|
1614 | 1614 | self.processingHeaderObj.write(self.fp) |
|
|
1615 | 1615 | |
|
|
1616 | 1616 | def __setNewBlock(self): |
|
|
1617 | 1617 | """ |
|
|
1618 | 1618 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
1619 | 1619 | |
|
|
1620 | 1620 | Return: |
|
|
1621 | 1621 | 0 : si no pudo escribir nada |
|
|
1622 | 1622 | 1 : Si escribio el Basic el First Header |
|
|
1623 | 1623 | """ |
|
|
1624 | 1624 | if self.fp == None: |
|
|
1625 | 1625 | self.setNextFile() |
|
|
1626 | 1626 | |
|
|
1627 | 1627 | if self.flagIsNewFile: |
|
|
1628 | 1628 | return 1 |
|
|
1629 | 1629 | |
|
|
1630 | 1630 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
1631 | 1631 | self.basicHeaderObj.write(self.fp) |
|
|
1632 | 1632 | return 1 |
|
|
1633 | 1633 | |
|
|
1634 | 1634 | if not( self.setNextFile() ): |
|
|
1635 | 1635 | return 0 |
|
|
1636 | 1636 | |
|
|
1637 | 1637 | return 1 |
|
|
1638 | 1638 | |
|
|
1639 | 1639 | |
|
|
1640 | 1640 | def writeNextBlock(self): |
|
|
1641 | 1641 | """ |
|
|
1642 | 1642 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
1643 | 1643 | |
|
|
1644 | 1644 | Return: |
|
|
1645 | 1645 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
1646 | 1646 | 1 : Si no pudo escribir el bloque de datos |
|
|
1647 | 1647 | """ |
|
|
1648 | 1648 | if not( self.__setNewBlock() ): |
|
|
1649 | 1649 | return 0 |
|
|
1650 | 1650 | |
|
|
1651 | 1651 | self.writeBlock() |
|
|
1652 | 1652 | |
|
|
1653 | 1653 | print "[Writing] Block No. %d/%d" %(self.blockIndex, |
|
|
1654 | 1654 | self.processingHeaderObj.dataBlocksPerFile) |
|
|
1655 | 1655 | |
|
|
1656 | 1656 | return 1 |
|
|
1657 | 1657 | |
|
|
1658 | 1658 | def setNextFile(self): |
|
|
1659 | 1659 | """ |
|
|
1660 | 1660 | Determina el siguiente file que sera escrito |
|
|
1661 | 1661 | |
|
|
1662 | 1662 | Affected: |
|
|
1663 | 1663 | self.filename |
|
|
1664 | 1664 | self.subfolder |
|
|
1665 | 1665 | self.fp |
|
|
1666 | 1666 | self.setFile |
|
|
1667 | 1667 | self.flagIsNewFile |
|
|
1668 | 1668 | |
|
|
1669 | 1669 | Return: |
|
|
1670 | 1670 | 0 : Si el archivo no puede ser escrito |
|
|
1671 | 1671 | 1 : Si el archivo esta listo para ser escrito |
|
|
1672 | 1672 | """ |
|
|
1673 | 1673 | ext = self.ext |
|
|
1674 | 1674 | path = self.path |
|
|
1675 | 1675 | |
|
|
1676 | 1676 | if self.fp != None: |
|
|
1677 | 1677 | self.fp.close() |
|
|
1678 | 1678 | |
|
|
1679 | 1679 | timeTuple = time.localtime( self.dataOut.utctime) |
|
|
1680 | 1680 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|
1681 | 1681 | |
|
|
1682 | 1682 | fullpath = os.path.join( path, subfolder ) |
|
|
1683 | 1683 | setFile = self.setFile |
|
|
1684 | 1684 | |
|
|
1685 | 1685 | if not( os.path.exists(fullpath) ): |
|
|
1686 | 1686 | os.mkdir(fullpath) |
|
|
1687 | 1687 | setFile = -1 #inicializo mi contador de seteo |
|
|
1688 | 1688 | else: |
|
|
1689 | 1689 | filesList = os.listdir( fullpath ) |
|
|
1690 | 1690 | if len( filesList ) > 0: |
|
|
1691 | 1691 | filesList = sorted( filesList, key=str.lower ) |
|
|
1692 | 1692 | filen = filesList[-1] |
|
|
1693 | 1693 | # el filename debera tener el siguiente formato |
|
|
1694 | 1694 | # 0 1234 567 89A BCDE (hex) |
|
|
1695 | 1695 | # x YYYY DDD SSS .ext |
|
|
1696 | 1696 | if isNumber( filen[8:11] ): |
|
|
1697 | 1697 | setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
|
1698 | 1698 | else: |
|
|
1699 | 1699 | setFile = -1 |
|
|
1700 | 1700 | else: |
|
|
1701 | 1701 | setFile = -1 #inicializo mi contador de seteo |
|
|
1702 | 1702 | |
|
|
1703 | 1703 | setFile += 1 |
|
|
1704 | 1704 | |
|
|
1705 | 1705 | #If this is a new day it resets some values |
|
|
1706 | 1706 | if self.dataOut.datatime.date() > self.fileDate: |
|
|
1707 | 1707 | setFile = 0 |
|
|
1708 | 1708 | self.nTotalBlocks = 0 |
|
|
1709 | 1709 | |
|
|
1710 | 1710 | filen = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext ) |
|
|
1711 | 1711 | |
|
|
1712 | 1712 | filename = os.path.join( path, subfolder, filen ) |
|
|
1713 | 1713 | |
|
|
1714 | 1714 | fp = open( filename,'wb' ) |
|
|
1715 | 1715 | |
|
|
1716 | 1716 | self.blockIndex = 0 |
|
|
1717 | 1717 | |
|
|
1718 | 1718 | #guardando atributos |
|
|
1719 | 1719 | self.filename = filename |
|
|
1720 | 1720 | self.subfolder = subfolder |
|
|
1721 | 1721 | self.fp = fp |
|
|
1722 | 1722 | self.setFile = setFile |
|
|
1723 | 1723 | self.flagIsNewFile = 1 |
|
|
1724 | 1724 | self.fileDate = self.dataOut.datatime.date() |
|
|
1725 | 1725 | |
|
|
1726 | 1726 | self.setFirstHeader() |
|
|
1727 | 1727 | |
|
|
1728 | 1728 | print '[Writing] Opening file: %s'%self.filename |
|
|
1729 | 1729 | |
|
|
1730 | 1730 | self.__writeFirstHeader() |
|
|
1731 | 1731 | |
|
|
1732 | 1732 | return 1 |
|
|
1733 | 1733 | |
|
|
1734 | 1734 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4): |
|
|
1735 | 1735 | """ |
|
|
1736 | 1736 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
1737 | 1737 | |
|
|
1738 | 1738 | Inputs: |
|
|
1739 | 1739 | path : directory where data will be saved |
|
|
1740 | 1740 | profilesPerBlock : number of profiles per block |
|
|
1741 | 1741 | set : initial file set |
|
|
1742 | 1742 | datatype : An integer number that defines data type: |
|
|
1743 | 1743 | 0 : int8 (1 byte) |
|
|
1744 | 1744 | 1 : int16 (2 bytes) |
|
|
1745 | 1745 | 2 : int32 (4 bytes) |
|
|
1746 | 1746 | 3 : int64 (8 bytes) |
|
|
1747 | 1747 | 4 : float32 (4 bytes) |
|
|
1748 | 1748 | 5 : double64 (8 bytes) |
|
|
1749 | 1749 | |
|
|
1750 | 1750 | Return: |
|
|
1751 | 1751 | 0 : Si no realizo un buen seteo |
|
|
1752 | 1752 | 1 : Si realizo un buen seteo |
|
|
1753 | 1753 | """ |
|
|
1754 | 1754 | |
|
|
1755 | 1755 | if ext == None: |
|
|
1756 | 1756 | ext = self.ext |
|
|
1757 | 1757 | |
|
|
1758 | 1758 | self.ext = ext.lower() |
|
|
1759 | 1759 | |
|
|
1760 | 1760 | self.path = path |
|
|
1761 | 1761 | |
|
|
1762 | 1762 | if set is None: |
|
|
1763 | 1763 | self.setFile = -1 |
|
|
1764 | 1764 | else: |
|
|
1765 | 1765 | self.setFile = set - 1 |
|
|
1766 | 1766 | |
|
|
1767 | 1767 | self.blocksPerFile = blocksPerFile |
|
|
1768 | 1768 | |
|
|
1769 | 1769 | self.profilesPerBlock = profilesPerBlock |
|
|
1770 | 1770 | |
|
|
1771 | 1771 | self.dataOut = dataOut |
|
|
1772 | 1772 | self.fileDate = self.dataOut.datatime.date() |
|
|
1773 | 1773 | #By default |
|
|
1774 | 1774 | self.dtype = self.dataOut.dtype |
|
|
1775 | 1775 | |
|
|
1776 | 1776 | if datatype is not None: |
|
|
1777 | 1777 | self.dtype = get_numpy_dtype(datatype) |
|
|
1778 | 1778 | |
|
|
1779 | 1779 | if not(self.setNextFile()): |
|
|
1780 | 1780 | print "[Writing] There isn't a next file" |
|
|
1781 | 1781 | return 0 |
|
|
1782 | 1782 | |
|
|
1783 | 1783 | self.setBlockDimension() |
|
|
1784 | 1784 | |
|
|
1785 | 1785 | return 1 |
|
|
1786 | 1786 | |
|
|
1787 | def run(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs): | |
|
|
1787 | def run(self, dataOut, path, blocksPerFile=100, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs): | |
|
|
1788 | 1788 | |
|
|
1789 | 1789 | if not(self.isConfig): |
|
|
1790 | 1790 | |
|
|
1791 | 1791 | self.setup(dataOut, path, blocksPerFile, profilesPerBlock=profilesPerBlock, set=set, ext=ext, datatype=datatype, **kwargs) |
|
|
1792 | 1792 | self.isConfig = True |
|
|
1793 | 1793 | |
|
|
1794 | 1794 | self.putData() |
| @@ -1,707 +1,711 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 2, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import numpy |
|
|
7 | 7 | |
|
|
8 | 8 | from jroIO_base import LOCALTIME, JRODataReader, JRODataWriter |
|
|
9 | 9 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
|
10 | 10 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
11 | 11 | from schainpy.model.data.jrodata import Spectra |
|
|
12 | 12 | |
|
|
13 | 13 | class SpectraReader(JRODataReader, ProcessingUnit): |
|
|
14 | 14 | |
|
|
15 | 15 | """ |
|
|
16 | 16 | Esta clase permite leer datos de espectros desde archivos procesados (.pdata). La lectura |
|
|
17 | 17 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones) |
|
|
18 | 18 | son almacenados en tres buffer's para el Self Spectra, el Cross Spectra y el DC Channel. |
|
|
19 | 19 | |
|
|
20 | 20 | paresCanalesIguales * alturas * perfiles (Self Spectra) |
|
|
21 | 21 | paresCanalesDiferentes * alturas * perfiles (Cross Spectra) |
|
|
22 | 22 | canales * alturas (DC Channels) |
|
|
23 | 23 | |
|
|
24 | 24 | |
|
|
25 | 25 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|
26 | 26 | RadarControllerHeader y Spectra. Los tres primeros se usan para almacenar informacion de la |
|
|
27 | 27 | cabecera de datos (metadata), y el cuarto (Spectra) para obtener y almacenar un bloque de |
|
|
28 | 28 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|
29 | 29 | |
|
|
30 | 30 | Example: |
|
|
31 | 31 | dpath = "/home/myuser/data" |
|
|
32 | 32 | |
|
|
33 | 33 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|
34 | 34 | |
|
|
35 | 35 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|
36 | 36 | |
|
|
37 | 37 | readerObj = SpectraReader() |
|
|
38 | 38 | |
|
|
39 | 39 | readerObj.setup(dpath, startTime, endTime) |
|
|
40 | 40 | |
|
|
41 | 41 | while(True): |
|
|
42 | 42 | |
|
|
43 | 43 | readerObj.getData() |
|
|
44 | 44 | |
|
|
45 | 45 | print readerObj.data_spc |
|
|
46 | 46 | |
|
|
47 | 47 | print readerObj.data_cspc |
|
|
48 | 48 | |
|
|
49 | 49 | print readerObj.data_dc |
|
|
50 | 50 | |
|
|
51 | 51 | if readerObj.flagNoMoreFiles: |
|
|
52 | 52 | break |
|
|
53 | 53 | |
|
|
54 | 54 | """ |
|
|
55 | 55 | |
|
|
56 | 56 | pts2read_SelfSpectra = 0 |
|
|
57 | 57 | |
|
|
58 | 58 | pts2read_CrossSpectra = 0 |
|
|
59 | 59 | |
|
|
60 | 60 | pts2read_DCchannels = 0 |
|
|
61 | 61 | |
|
|
62 | 62 | ext = ".pdata" |
|
|
63 | 63 | |
|
|
64 | 64 | optchar = "P" |
|
|
65 | 65 | |
|
|
66 | 66 | dataOut = None |
|
|
67 | 67 | |
|
|
68 | 68 | nRdChannels = None |
|
|
69 | 69 | |
|
|
70 | 70 | nRdPairs = None |
|
|
71 | 71 | |
|
|
72 | 72 | rdPairList = [] |
|
|
73 | 73 | |
|
|
74 | 74 | def __init__(self, **kwargs): |
|
|
75 | 75 | """ |
|
|
76 | 76 | Inicializador de la clase SpectraReader para la lectura de datos de espectros. |
|
|
77 | 77 | |
|
|
78 | 78 | Inputs: |
|
|
79 | 79 | |
|
|
80 | 80 | dataOut : Objeto de la clase Spectra. Este objeto sera utilizado para |
|
|
81 | 81 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|
82 | 82 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|
83 | 83 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|
84 | 84 | bloque de datos. |
|
|
85 | 85 | Si este parametro no es pasado se creara uno internamente. |
|
|
86 | 86 | |
|
|
87 | 87 | |
|
|
88 | 88 | Affected: |
|
|
89 | 89 | |
|
|
90 | 90 | self.dataOut |
|
|
91 | 91 | |
|
|
92 | 92 | Return : None |
|
|
93 | 93 | """ |
|
|
94 | 94 | |
|
|
95 | 95 | |
|
|
96 | 96 | #Eliminar de la base la herencia |
|
|
97 | 97 | ProcessingUnit.__init__(self, **kwargs) |
|
|
98 | 98 | |
|
|
99 | 99 | # self.isConfig = False |
|
|
100 | 100 | |
|
|
101 | 101 | self.pts2read_SelfSpectra = 0 |
|
|
102 | 102 | |
|
|
103 | 103 | self.pts2read_CrossSpectra = 0 |
|
|
104 | 104 | |
|
|
105 | 105 | self.pts2read_DCchannels = 0 |
|
|
106 | 106 | |
|
|
107 | 107 | self.datablock = None |
|
|
108 | 108 | |
|
|
109 | 109 | self.utc = None |
|
|
110 | 110 | |
|
|
111 | 111 | self.ext = ".pdata" |
|
|
112 | 112 | |
|
|
113 | 113 | self.optchar = "P" |
|
|
114 | 114 | |
|
|
115 | 115 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
116 | 116 | |
|
|
117 | 117 | self.systemHeaderObj = SystemHeader() |
|
|
118 | 118 | |
|
|
119 | 119 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
120 | 120 | |
|
|
121 | 121 | self.processingHeaderObj = ProcessingHeader() |
|
|
122 | 122 | |
|
|
123 | 123 | self.online = 0 |
|
|
124 | 124 | |
|
|
125 | 125 | self.fp = None |
|
|
126 | 126 | |
|
|
127 | 127 | self.idFile = None |
|
|
128 | 128 | |
|
|
129 | 129 | self.dtype = None |
|
|
130 | 130 | |
|
|
131 | 131 | self.fileSizeByHeader = None |
|
|
132 | 132 | |
|
|
133 | 133 | self.filenameList = [] |
|
|
134 | 134 | |
|
|
135 | 135 | self.filename = None |
|
|
136 | 136 | |
|
|
137 | 137 | self.fileSize = None |
|
|
138 | 138 | |
|
|
139 | 139 | self.firstHeaderSize = 0 |
|
|
140 | 140 | |
|
|
141 | 141 | self.basicHeaderSize = 24 |
|
|
142 | 142 | |
|
|
143 | 143 | self.pathList = [] |
|
|
144 | 144 | |
|
|
145 | 145 | self.lastUTTime = 0 |
|
|
146 | 146 | |
|
|
147 | 147 | self.maxTimeStep = 30 |
|
|
148 | 148 | |
|
|
149 | 149 | self.flagNoMoreFiles = 0 |
|
|
150 | 150 | |
|
|
151 | 151 | self.set = 0 |
|
|
152 | 152 | |
|
|
153 | 153 | self.path = None |
|
|
154 | 154 | |
|
|
155 | 155 | self.delay = 60 #seconds |
|
|
156 | 156 | |
|
|
157 | 157 | self.nTries = 3 #quantity tries |
|
|
158 | 158 | |
|
|
159 | 159 | self.nFiles = 3 #number of files for searching |
|
|
160 | 160 | |
|
|
161 | 161 | self.nReadBlocks = 0 |
|
|
162 | 162 | |
|
|
163 | 163 | self.flagIsNewFile = 1 |
|
|
164 | 164 | |
|
|
165 | 165 | self.__isFirstTimeOnline = 1 |
|
|
166 | 166 | |
|
|
167 | 167 | # self.ippSeconds = 0 |
|
|
168 | 168 | |
|
|
169 | 169 | self.flagDiscontinuousBlock = 0 |
|
|
170 | 170 | |
|
|
171 | 171 | self.flagIsNewBlock = 0 |
|
|
172 | 172 | |
|
|
173 | 173 | self.nTotalBlocks = 0 |
|
|
174 | 174 | |
|
|
175 | 175 | self.blocksize = 0 |
|
|
176 | 176 | |
|
|
177 | 177 | self.dataOut = self.createObjByDefault() |
|
|
178 | 178 | |
|
|
179 | 179 | self.profileIndex = 1 #Always |
|
|
180 | 180 | |
|
|
181 | 181 | |
|
|
182 | 182 | def createObjByDefault(self): |
|
|
183 | 183 | |
|
|
184 | 184 | dataObj = Spectra() |
|
|
185 | 185 | |
|
|
186 | 186 | return dataObj |
|
|
187 | 187 | |
|
|
188 | 188 | def __hasNotDataInBuffer(self): |
|
|
189 | 189 | return 1 |
|
|
190 | 190 | |
|
|
191 | 191 | |
|
|
192 | 192 | def getBlockDimension(self): |
|
|
193 | 193 | """ |
|
|
194 | 194 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|
195 | 195 | |
|
|
196 | 196 | Affected: |
|
|
197 | 197 | self.nRdChannels |
|
|
198 | 198 | self.nRdPairs |
|
|
199 | 199 | self.pts2read_SelfSpectra |
|
|
200 | 200 | self.pts2read_CrossSpectra |
|
|
201 | 201 | self.pts2read_DCchannels |
|
|
202 | 202 | self.blocksize |
|
|
203 | 203 | self.dataOut.nChannels |
|
|
204 | 204 | self.dataOut.nPairs |
|
|
205 | 205 | |
|
|
206 | 206 | Return: |
|
|
207 | 207 | None |
|
|
208 | 208 | """ |
|
|
209 | 209 | self.nRdChannels = 0 |
|
|
210 | 210 | self.nRdPairs = 0 |
|
|
211 | 211 | self.rdPairList = [] |
|
|
212 | 212 | |
|
|
213 | 213 | for i in range(0, self.processingHeaderObj.totalSpectra*2, 2): |
|
|
214 | 214 | if self.processingHeaderObj.spectraComb[i] == self.processingHeaderObj.spectraComb[i+1]: |
|
|
215 | 215 | self.nRdChannels = self.nRdChannels + 1 #par de canales iguales |
|
|
216 | 216 | |
|
|
217 | 217 | else: |
|
|
218 | 218 | self.nRdPairs = self.nRdPairs + 1 #par de canales diferentes |
|
|
219 | 219 | self.rdPairList.append((self.processingHeaderObj.spectraComb[i], self.processingHeaderObj.spectraComb[i+1])) |
|
|
220 | 220 | |
|
|
221 | 221 | pts2read = self.processingHeaderObj.nHeights * self.processingHeaderObj.profilesPerBlock |
|
|
222 | 222 | |
|
|
223 | 223 | self.pts2read_SelfSpectra = int(self.nRdChannels * pts2read) |
|
|
224 | 224 | self.blocksize = self.pts2read_SelfSpectra |
|
|
225 | 225 | |
|
|
226 | 226 | if self.processingHeaderObj.flag_cspc: |
|
|
227 | 227 | self.pts2read_CrossSpectra = int(self.nRdPairs * pts2read) |
|
|
228 | 228 | self.blocksize += self.pts2read_CrossSpectra |
|
|
229 | 229 | |
|
|
230 | 230 | if self.processingHeaderObj.flag_dc: |
|
|
231 | 231 | self.pts2read_DCchannels = int(self.systemHeaderObj.nChannels * self.processingHeaderObj.nHeights) |
|
|
232 | 232 | self.blocksize += self.pts2read_DCchannels |
|
|
233 | 233 | |
|
|
234 | 234 | # self.blocksize = self.pts2read_SelfSpectra + self.pts2read_CrossSpectra + self.pts2read_DCchannels |
|
|
235 | 235 | |
|
|
236 | 236 | |
|
|
237 | 237 | def readBlock(self): |
|
|
238 | 238 | """ |
|
|
239 | 239 | Lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|
240 | 240 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|
241 | 241 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|
242 | 242 | es seteado a 0 |
|
|
243 | 243 | |
|
|
244 | 244 | Return: None |
|
|
245 | 245 | |
|
|
246 | 246 | Variables afectadas: |
|
|
247 | 247 | |
|
|
248 | 248 | |
|
|
249 | 249 | self.flagIsNewFile |
|
|
250 | 250 | self.flagIsNewBlock |
|
|
251 | 251 | self.nTotalBlocks |
|
|
252 | 252 | self.data_spc |
|
|
253 | 253 | self.data_cspc |
|
|
254 | 254 | self.data_dc |
|
|
255 | 255 | |
|
|
256 | 256 | Exceptions: |
|
|
257 | 257 | Si un bloque leido no es un bloque valido |
|
|
258 | 258 | """ |
|
|
259 | 259 | print ' ======================================================== ' |
|
|
260 | 260 | print ' ' |
|
|
261 | 261 | print ' ' |
|
|
262 | 262 | print self.processingHeaderObj.totalSpectra, 'TotalSpectra', type(self.processingHeaderObj.totalSpectra) |
|
|
263 | 263 | print self.processingHeaderObj.spectraComb, 'SpectraComb', type(self.processingHeaderObj.spectraComb) |
|
|
264 | 264 | print ' ' |
|
|
265 | 265 | print ' ' |
|
|
266 | 266 | print ' ======================================================== ' |
|
|
267 | 267 | |
|
|
268 | 268 | |
|
|
269 | 269 | blockOk_flag = False |
|
|
270 | 270 | fpointer = self.fp.tell() |
|
|
271 | 271 | |
|
|
272 | 272 | spc = numpy.fromfile( self.fp, self.dtype[0], self.pts2read_SelfSpectra ) |
|
|
273 | 273 | spc = spc.reshape( (self.nRdChannels, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
|
|
274 | 274 | |
|
|
275 | 275 | if self.processingHeaderObj.flag_cspc: |
|
|
276 | 276 | cspc = numpy.fromfile( self.fp, self.dtype, self.pts2read_CrossSpectra ) |
|
|
277 | 277 | cspc = cspc.reshape( (self.nRdPairs, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D |
|
|
278 | 278 | |
|
|
279 | 279 | if self.processingHeaderObj.flag_dc: |
|
|
280 | 280 | dc = numpy.fromfile( self.fp, self.dtype, self.pts2read_DCchannels ) #int(self.processingHeaderObj.nHeights*self.systemHeaderObj.nChannels) ) |
|
|
281 | 281 | dc = dc.reshape( (self.systemHeaderObj.nChannels, self.processingHeaderObj.nHeights) ) #transforma a un arreglo 2D |
|
|
282 | 282 | |
|
|
283 | 283 | |
|
|
284 | 284 | if not(self.processingHeaderObj.shif_fft): |
|
|
285 | 285 | #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
286 | 286 | shift = int(self.processingHeaderObj.profilesPerBlock/2) |
|
|
287 | 287 | spc = numpy.roll( spc, shift , axis=2 ) |
|
|
288 | 288 | |
|
|
289 | 289 | if self.processingHeaderObj.flag_cspc: |
|
|
290 | 290 | #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
291 | 291 | cspc = numpy.roll( cspc, shift, axis=2 ) |
|
|
292 | 292 | |
|
|
293 | 293 | #Dimensions : nChannels, nProfiles, nSamples |
|
|
294 | 294 | spc = numpy.transpose( spc, (0,2,1) ) |
|
|
295 | 295 | self.data_spc = spc |
|
|
296 | 296 | |
|
|
297 | 297 | if self.processingHeaderObj.flag_cspc: |
|
|
298 | 298 | |
|
|
299 | 299 | cspc = numpy.transpose( cspc, (0,2,1) ) |
|
|
300 | 300 | self.data_cspc = cspc['real'] + cspc['imag']*1j |
|
|
301 | 301 | else: |
|
|
302 | 302 | self.data_cspc = None |
|
|
303 | print 'SALE NONE ***********************************************************' | |
|
|
303 | 304 | |
|
|
304 | 305 | |
|
|
305 | 306 | if self.processingHeaderObj.flag_dc: |
|
|
306 | 307 | self.data_dc = dc['real'] + dc['imag']*1j |
|
|
307 | 308 | else: |
|
|
308 | 309 | self.data_dc = None |
|
|
309 | 310 | |
|
|
310 | 311 | self.flagIsNewFile = 0 |
|
|
311 | 312 | self.flagIsNewBlock = 1 |
|
|
312 | 313 | |
|
|
313 | 314 | self.nTotalBlocks += 1 |
|
|
314 | 315 | self.nReadBlocks += 1 |
|
|
315 | 316 | |
|
|
316 | 317 | return 1 |
|
|
317 | 318 | |
|
|
318 | 319 | def getFirstHeader(self): |
|
|
319 | 320 | |
|
|
320 | 321 | self.getBasicHeader() |
|
|
321 | 322 | |
|
|
322 | 323 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|
323 | 324 | |
|
|
324 | 325 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|
325 | 326 | |
|
|
326 | 327 | # self.dataOut.ippSeconds = self.ippSeconds |
|
|
327 | 328 | |
|
|
328 | 329 | # self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt * self.processingHeaderObj.nIncohInt * self.processingHeaderObj.profilesPerBlock |
|
|
329 | 330 | |
|
|
330 | 331 | self.dataOut.dtype = self.dtype |
|
|
331 | 332 | |
|
|
332 | 333 | # self.dataOut.nPairs = self.nPairs |
|
|
333 | 334 | |
|
|
334 | 335 | self.dataOut.pairsList = self.rdPairList |
|
|
335 | 336 | |
|
|
336 | 337 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|
337 | 338 | |
|
|
338 | 339 | self.dataOut.nFFTPoints = self.processingHeaderObj.profilesPerBlock |
|
|
339 | 340 | |
|
|
340 | 341 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|
341 | 342 | |
|
|
342 | 343 | self.dataOut.nIncohInt = self.processingHeaderObj.nIncohInt |
|
|
343 | 344 | |
|
|
344 | 345 | xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight |
|
|
345 | 346 | |
|
|
346 | 347 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight) |
|
|
347 | 348 | |
|
|
348 | 349 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|
349 | 350 | |
|
|
350 | 351 | self.dataOut.flagShiftFFT = True #Data is always shifted |
|
|
351 | 352 | |
|
|
352 | 353 | self.dataOut.flagDecodeData = self.processingHeaderObj.flag_decode #asumo q la data no esta decodificada |
|
|
353 | 354 | |
|
|
354 | 355 | self.dataOut.flagDeflipData = self.processingHeaderObj.flag_deflip #asumo q la data esta sin flip |
|
|
355 | 356 | |
|
|
356 | 357 | def getData(self): |
|
|
357 | 358 | """ |
|
|
358 | 359 | First method to execute before "RUN" is called. |
|
|
359 | 360 | |
|
|
360 | 361 | Copia el buffer de lectura a la clase "Spectra", |
|
|
361 | 362 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
|
|
362 | 363 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
|
|
363 | 364 | |
|
|
364 | 365 | Return: |
|
|
365 | 366 | 0 : Si no hay mas archivos disponibles |
|
|
366 | 367 | 1 : Si hizo una buena copia del buffer |
|
|
367 | 368 | |
|
|
368 | 369 | Affected: |
|
|
369 | 370 | self.dataOut |
|
|
370 | 371 | |
|
|
371 | 372 | self.flagDiscontinuousBlock |
|
|
372 | 373 | self.flagIsNewBlock |
|
|
373 | 374 | """ |
|
|
374 | 375 | |
|
|
375 | 376 | if self.flagNoMoreFiles: |
|
|
376 | 377 | self.dataOut.flagNoData = True |
|
|
377 | 378 | print 'Process finished' |
|
|
378 | 379 | return 0 |
|
|
379 | 380 | |
|
|
380 | 381 | self.flagDiscontinuousBlock = 0 |
|
|
381 | 382 | self.flagIsNewBlock = 0 |
|
|
382 | 383 | |
|
|
383 | 384 | if self.__hasNotDataInBuffer(): |
|
|
384 | 385 | |
|
|
385 | 386 | if not( self.readNextBlock() ): |
|
|
386 | 387 | self.dataOut.flagNoData = True |
|
|
387 | 388 | return 0 |
|
|
388 | 389 | |
|
|
389 | 390 | |
|
|
390 | 391 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
|
|
391 | 392 | |
|
|
392 | 393 | if self.data_spc is None: |
|
|
393 | 394 | self.dataOut.flagNoData = True |
|
|
394 | 395 | return 0 |
|
|
395 | 396 | |
|
|
396 | 397 | self.getBasicHeader() |
|
|
397 | 398 | |
|
|
398 | 399 | self.getFirstHeader() |
|
|
399 | 400 | |
|
|
400 | 401 | self.dataOut.data_spc = self.data_spc |
|
|
401 | 402 | |
|
|
402 | 403 | self.dataOut.data_cspc = self.data_cspc |
|
|
403 | 404 | |
|
|
404 | 405 | self.dataOut.data_dc = self.data_dc |
|
|
405 | 406 | |
|
|
406 | 407 | self.dataOut.flagNoData = False |
|
|
407 | 408 | |
|
|
408 | 409 | self.dataOut.realtime = self.online |
|
|
409 | 410 | |
|
|
410 | 411 | return self.dataOut.data_spc |
|
|
411 | 412 | |
|
|
412 | 413 | class SpectraWriter(JRODataWriter, Operation): |
|
|
413 | 414 | |
|
|
414 | 415 | """ |
|
|
415 | 416 | Esta clase permite escribir datos de espectros a archivos procesados (.pdata). La escritura |
|
|
416 | 417 | de los datos siempre se realiza por bloques. |
|
|
417 | 418 | """ |
|
|
418 | 419 | |
|
|
419 | 420 | ext = ".pdata" |
|
|
420 | 421 | |
|
|
421 | 422 | optchar = "P" |
|
|
422 | 423 | |
|
|
423 | 424 | shape_spc_Buffer = None |
|
|
424 | 425 | |
|
|
425 | 426 | shape_cspc_Buffer = None |
|
|
426 | 427 | |
|
|
427 | 428 | shape_dc_Buffer = None |
|
|
428 | 429 | |
|
|
429 | 430 | data_spc = None |
|
|
430 | 431 | |
|
|
431 | 432 | data_cspc = None |
|
|
432 | 433 | |
|
|
433 | 434 | data_dc = None |
|
|
434 | 435 | |
|
|
435 | 436 | # dataOut = None |
|
|
436 | 437 | |
|
|
437 | def __init__(self): | |
|
|
438 | def __init__(self, **kwargs): | |
|
|
438 | 439 | """ |
|
|
439 | 440 | Inicializador de la clase SpectraWriter para la escritura de datos de espectros. |
|
|
440 | 441 | |
|
|
441 | 442 | Affected: |
|
|
442 | 443 | |
|
|
443 | 444 | self.dataOut |
|
|
444 | 445 | self.basicHeaderObj |
|
|
445 | 446 | self.systemHeaderObj |
|
|
446 | 447 | self.radarControllerHeaderObj |
|
|
447 | 448 | self.processingHeaderObj |
|
|
448 | 449 | |
|
|
449 | 450 | Return: None |
|
|
450 | 451 | """ |
|
|
451 | 452 | |
|
|
452 | Operation.__init__(self) | |
|
|
453 | Operation.__init__(self, **kwargs) | |
|
|
453 | 454 | |
|
|
454 | 455 | self.isConfig = False |
|
|
455 | 456 | |
|
|
456 | 457 | self.nTotalBlocks = 0 |
|
|
457 | 458 | |
|
|
458 | 459 | self.data_spc = None |
|
|
459 | 460 | |
|
|
460 | 461 | self.data_cspc = None |
|
|
461 | 462 | |
|
|
462 | 463 | |
|
|
463 | 464 | self.data_dc = None |
|
|
464 | 465 | |
|
|
465 | 466 | self.fp = None |
|
|
466 | 467 | |
|
|
467 | 468 | self.flagIsNewFile = 1 |
|
|
468 | 469 | |
|
|
469 | 470 | self.nTotalBlocks = 0 |
|
|
470 | 471 | |
|
|
471 | 472 | self.flagIsNewBlock = 0 |
|
|
472 | 473 | |
|
|
473 | 474 | self.setFile = None |
|
|
474 | 475 | |
|
|
475 | 476 | self.dtype = None |
|
|
476 | 477 | |
|
|
477 | 478 | self.path = None |
|
|
478 | 479 | |
|
|
479 | 480 | self.noMoreFiles = 0 |
|
|
480 | 481 | |
|
|
481 | 482 | self.filename = None |
|
|
482 | 483 | |
|
|
483 | 484 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
484 | 485 | |
|
|
485 | 486 | self.systemHeaderObj = SystemHeader() |
|
|
486 | 487 | |
|
|
487 | 488 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
488 | 489 | |
|
|
489 | 490 | self.processingHeaderObj = ProcessingHeader() |
|
|
490 | 491 | |
|
|
491 | 492 | |
|
|
492 | 493 | def hasAllDataInBuffer(self): |
|
|
493 | 494 | return 1 |
|
|
494 | 495 | |
|
|
495 | 496 | |
|
|
496 | 497 | |
|
|
497 | 498 | def setBlockDimension(self): |
|
|
498 | 499 | """ |
|
|
499 | 500 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|
500 | 501 | |
|
|
501 | 502 | Affected: |
|
|
502 | 503 | self.shape_spc_Buffer |
|
|
503 | 504 | self.shape_cspc_Buffer |
|
|
504 | 505 | self.shape_dc_Buffer |
|
|
505 | 506 | |
|
|
506 | 507 | Return: None |
|
|
507 | 508 | """ |
|
|
508 | 509 | self.shape_spc_Buffer = (self.dataOut.nChannels, |
|
|
509 | 510 | self.processingHeaderObj.nHeights, |
|
|
510 | 511 | self.processingHeaderObj.profilesPerBlock) |
|
|
511 | 512 | |
|
|
512 | 513 | self.shape_cspc_Buffer = (self.dataOut.nPairs, |
|
|
513 | 514 | self.processingHeaderObj.nHeights, |
|
|
514 | 515 | self.processingHeaderObj.profilesPerBlock) |
|
|
515 | 516 | |
|
|
516 | 517 | self.shape_dc_Buffer = (self.dataOut.nChannels, |
|
|
517 | 518 | self.processingHeaderObj.nHeights) |
|
|
518 | 519 | |
|
|
519 | 520 | |
|
|
520 | 521 | def writeBlock(self): |
|
|
521 | """ | |
|
|
522 | """processingHeaderObj | |
|
|
522 | 523 | Escribe el buffer en el file designado |
|
|
523 | 524 | |
|
|
524 | 525 | |
|
|
525 | 526 | Affected: |
|
|
526 | 527 | self.data_spc |
|
|
527 | 528 | self.data_cspc |
|
|
528 | 529 | self.data_dc |
|
|
529 | 530 | self.flagIsNewFile |
|
|
530 | 531 | self.flagIsNewBlock |
|
|
531 | 532 | self.nTotalBlocks |
|
|
532 | 533 | self.nWriteBlocks |
|
|
533 | 534 | |
|
|
534 | 535 | Return: None |
|
|
535 | 536 | """ |
|
|
536 | 537 | |
|
|
537 | 538 | spc = numpy.transpose( self.data_spc, (0,2,1) ) |
|
|
538 | 539 | if not( self.processingHeaderObj.shif_fft ): |
|
|
539 | 540 | spc = numpy.roll( spc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
540 | 541 | data = spc.reshape((-1)) |
|
|
541 | 542 | data = data.astype(self.dtype[0]) |
|
|
542 | 543 | data.tofile(self.fp) |
|
|
543 | 544 | |
|
|
544 | 545 | if self.data_cspc is not None: |
|
|
545 | data = numpy.zeros( self.shape_cspc_Buffer, self.dtype ) | |
|
|
546 | ||
|
|
546 | 547 | cspc = numpy.transpose( self.data_cspc, (0,2,1) ) |
|
|
548 | data = numpy.zeros( numpy.shape(cspc), self.dtype ) | |
|
|
549 | print 'data.shape', self.shape_cspc_Buffer | |
|
|
547 | 550 | if not( self.processingHeaderObj.shif_fft ): |
|
|
548 | 551 | cspc = numpy.roll( cspc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
|
|
549 | 552 | data['real'] = cspc.real |
|
|
550 | 553 | data['imag'] = cspc.imag |
|
|
551 | 554 | data = data.reshape((-1)) |
|
|
552 | 555 | data.tofile(self.fp) |
|
|
553 | 556 | |
|
|
554 | 557 | |
|
|
555 | 558 | if self.data_dc is not None: |
|
|
556 | data = numpy.zeros( self.shape_dc_Buffer, self.dtype ) | |
|
|
559 | ||
|
|
557 | 560 | dc = self.data_dc |
|
|
561 | data = numpy.zeros( numpy.shape(dc), self.dtype ) | |
|
|
558 | 562 | data['real'] = dc.real |
|
|
559 | 563 | data['imag'] = dc.imag |
|
|
560 | 564 | data = data.reshape((-1)) |
|
|
561 | 565 | data.tofile(self.fp) |
|
|
562 | 566 | |
|
|
563 | 567 | # self.data_spc.fill(0) |
|
|
564 | 568 | # |
|
|
565 | 569 | # if self.data_dc is not None: |
|
|
566 | 570 | # self.data_dc.fill(0) |
|
|
567 | 571 | # |
|
|
568 | 572 | # if self.data_cspc is not None: |
|
|
569 | 573 | # self.data_cspc.fill(0) |
|
|
570 | 574 | |
|
|
571 | 575 | |
|
|
572 | 576 | self.flagIsNewFile = 0 |
|
|
573 | 577 | self.flagIsNewBlock = 1 |
|
|
574 | 578 | self.nTotalBlocks += 1 |
|
|
575 | 579 | self.nWriteBlocks += 1 |
|
|
576 | 580 | self.blockIndex += 1 |
|
|
577 | 581 | |
|
|
578 | 582 | # print "[Writing] Block = %d04" %self.blockIndex |
|
|
579 | 583 | |
|
|
580 | 584 | def putData(self): |
|
|
581 | 585 | """ |
|
|
582 | 586 | Setea un bloque de datos y luego los escribe en un file |
|
|
583 | 587 | |
|
|
584 | 588 | |
|
|
585 | 589 | Affected: |
|
|
586 | 590 | self.data_spc |
|
|
587 | 591 | self.data_cspc |
|
|
588 | 592 | self.data_dc |
|
|
589 | 593 | |
|
|
590 | 594 | Return: |
|
|
591 | 595 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|
592 | 596 | 1 : Si se escribio la data de un bloque en un file |
|
|
593 | 597 | """ |
|
|
594 | 598 | |
|
|
595 | 599 | if self.dataOut.flagNoData: |
|
|
596 | 600 | return 0 |
|
|
597 | 601 | |
|
|
598 | 602 | self.flagIsNewBlock = 0 |
|
|
599 | 603 | |
|
|
600 | 604 | if self.dataOut.flagDiscontinuousBlock: |
|
|
601 | 605 | self.data_spc.fill(0) |
|
|
602 | 606 | self.data_cspc.fill(0) |
|
|
603 | 607 | self.data_dc.fill(0) |
|
|
604 | 608 | self.setNextFile() |
|
|
605 | 609 | |
|
|
606 | 610 | if self.flagIsNewFile == 0: |
|
|
607 | 611 | self.setBasicHeader() |
|
|
608 | 612 | |
|
|
609 | 613 | self.data_spc = self.dataOut.data_spc.copy() |
|
|
610 | 614 | |
|
|
611 | 615 | if self.dataOut.data_cspc is not None: |
|
|
612 | 616 | self.data_cspc = self.dataOut.data_cspc.copy() |
|
|
613 | 617 | |
|
|
614 | 618 | if self.dataOut.data_dc is not None: |
|
|
615 | 619 | self.data_dc = self.dataOut.data_dc.copy() |
|
|
616 | 620 | |
|
|
617 | 621 | # #self.processingHeaderObj.dataBlocksPerFile) |
|
|
618 | 622 | if self.hasAllDataInBuffer(): |
|
|
619 | 623 | # self.setFirstHeader() |
|
|
620 | 624 | self.writeNextBlock() |
|
|
621 | 625 | |
|
|
622 | 626 | return 1 |
|
|
623 | 627 | |
|
|
624 | 628 | |
|
|
625 | 629 | def __getBlockSize(self): |
|
|
626 | 630 | ''' |
|
|
627 | 631 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Spectra |
|
|
628 | 632 | ''' |
|
|
629 | 633 | |
|
|
630 | 634 | dtype_width = self.getDtypeWidth() |
|
|
631 | 635 | |
|
|
632 | 636 | pts2write = self.dataOut.nHeights * self.dataOut.nFFTPoints |
|
|
633 | 637 | |
|
|
634 | 638 | pts2write_SelfSpectra = int(self.dataOut.nChannels * pts2write) |
|
|
635 | 639 | blocksize = (pts2write_SelfSpectra*dtype_width) |
|
|
636 | 640 | |
|
|
637 | 641 | if self.dataOut.data_cspc is not None: |
|
|
638 | 642 | pts2write_CrossSpectra = int(self.dataOut.nPairs * pts2write) |
|
|
639 | 643 | blocksize += (pts2write_CrossSpectra*dtype_width*2) |
|
|
640 | 644 | |
|
|
641 | 645 | if self.dataOut.data_dc is not None: |
|
|
642 | 646 | pts2write_DCchannels = int(self.dataOut.nChannels * self.dataOut.nHeights) |
|
|
643 | 647 | blocksize += (pts2write_DCchannels*dtype_width*2) |
|
|
644 | 648 | |
|
|
645 | 649 | # blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO |
|
|
646 | 650 | |
|
|
647 | 651 | return blocksize |
|
|
648 | 652 | |
|
|
649 | 653 | def setFirstHeader(self): |
|
|
650 | 654 | |
|
|
651 | 655 | """ |
|
|
652 | 656 | Obtiene una copia del First Header |
|
|
653 | 657 | |
|
|
654 | 658 | Affected: |
|
|
655 | 659 | self.systemHeaderObj |
|
|
656 | 660 | self.radarControllerHeaderObj |
|
|
657 | 661 | self.dtype |
|
|
658 | 662 | |
|
|
659 | 663 | Return: |
|
|
660 | 664 | None |
|
|
661 | 665 | """ |
|
|
662 | 666 | |
|
|
663 | 667 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|
664 | 668 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|
665 | 669 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|
666 | 670 | |
|
|
667 | 671 | self.processingHeaderObj.dtype = 1 # Spectra |
|
|
668 | 672 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|
669 | 673 | self.processingHeaderObj.profilesPerBlock = self.dataOut.nFFTPoints |
|
|
670 | 674 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|
671 | 675 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|
672 | 676 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt# Se requiere para determinar el valor de timeInterval |
|
|
673 | 677 | self.processingHeaderObj.nIncohInt = self.dataOut.nIncohInt |
|
|
674 | 678 | self.processingHeaderObj.totalSpectra = self.dataOut.nPairs + self.dataOut.nChannels |
|
|
675 | 679 | self.processingHeaderObj.shif_fft = self.dataOut.flagShiftFFT |
|
|
676 | 680 | |
|
|
677 | 681 | |
|
|
678 | 682 | if self.processingHeaderObj.totalSpectra > 0: |
|
|
679 | 683 | channelList = [] |
|
|
680 | 684 | for channel in range(self.dataOut.nChannels): |
|
|
681 | 685 | channelList.append(channel) |
|
|
682 | 686 | channelList.append(channel) |
|
|
683 | 687 | |
|
|
684 | 688 | pairsList = [] |
|
|
685 | 689 | if self.dataOut.nPairs > 0: |
|
|
686 | 690 | for pair in self.dataOut.pairsList: |
|
|
687 | 691 | pairsList.append(pair[0]) |
|
|
688 | 692 | pairsList.append(pair[1]) |
|
|
689 | 693 | |
|
|
690 | 694 | spectraComb = channelList + pairsList |
|
|
691 | 695 | spectraComb = numpy.array(spectraComb, dtype="u1") |
|
|
692 | 696 | self.processingHeaderObj.spectraComb = spectraComb |
|
|
693 | 697 | |
|
|
694 | 698 | if self.dataOut.code is not None: |
|
|
695 | 699 | self.processingHeaderObj.code = self.dataOut.code |
|
|
696 | 700 | self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|
697 | 701 | self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|
698 | 702 | |
|
|
699 | 703 | if self.processingHeaderObj.nWindows != 0: |
|
|
700 | 704 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|
701 | 705 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
702 | 706 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|
703 | 707 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|
704 | 708 | |
|
|
705 | 709 | self.processingHeaderObj.processFlags = self.getProcessFlags() |
|
|
706 | 710 | |
|
|
707 | 711 | self.setBasicHeader() |
|
|
1 | NO CONTENT: modified file | |
| The requested commit or file is too big and content was truncated. Show full diff | |||
| @@ -1,905 +1,1064 | |||
|
|
1 | 1 | import numpy |
|
|
2 | 2 | |
|
|
3 | 3 | from jroproc_base import ProcessingUnit, Operation |
|
|
4 | 4 | from schainpy.model.data.jrodata import Spectra |
|
|
5 | 5 | from schainpy.model.data.jrodata import hildebrand_sekhon |
|
|
6 | 6 | |
|
|
7 | import matplotlib.pyplot as plt | |
|
|
8 | ||
|
|
7 | 9 | class SpectraProc(ProcessingUnit): |
|
|
8 | 10 | |
|
|
9 | 11 | def __init__(self, **kwargs): |
|
|
10 | 12 | |
|
|
11 | 13 | ProcessingUnit.__init__(self, **kwargs) |
|
|
12 | 14 | |
|
|
13 | 15 | self.buffer = None |
|
|
14 | 16 | self.firstdatatime = None |
|
|
15 | 17 | self.profIndex = 0 |
|
|
16 | 18 | self.dataOut = Spectra() |
|
|
17 | 19 | self.id_min = None |
|
|
18 | 20 | self.id_max = None |
|
|
19 | 21 | |
|
|
20 | 22 | def __updateSpecFromVoltage(self): |
|
|
21 | 23 | |
|
|
22 | 24 | self.dataOut.timeZone = self.dataIn.timeZone |
|
|
23 | 25 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
|
24 | 26 | self.dataOut.errorCount = self.dataIn.errorCount |
|
|
25 | 27 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
|
26 | 28 | |
|
|
27 | 29 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() |
|
|
28 | 30 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() |
|
|
29 | 31 | self.dataOut.channelList = self.dataIn.channelList |
|
|
30 | 32 | self.dataOut.heightList = self.dataIn.heightList |
|
|
31 | 33 | self.dataOut.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
32 | 34 | |
|
|
33 | 35 | self.dataOut.nBaud = self.dataIn.nBaud |
|
|
34 | 36 | self.dataOut.nCode = self.dataIn.nCode |
|
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35 | 37 | self.dataOut.code = self.dataIn.code |
|
|
36 | 38 | self.dataOut.nProfiles = self.dataOut.nFFTPoints |
|
|
37 | 39 | |
|
|
38 | 40 | self.dataOut.flagDiscontinuousBlock = self.dataIn.flagDiscontinuousBlock |
|
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39 | 41 | self.dataOut.utctime = self.firstdatatime |
|
|
40 | 42 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada |
|
|
41 | 43 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip |
|
|
42 | 44 | self.dataOut.flagShiftFFT = False |
|
|
43 | 45 | |
|
|
44 | 46 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
|
45 | 47 | self.dataOut.nIncohInt = 1 |
|
|
46 | 48 | |
|
|
47 | 49 | self.dataOut.windowOfFilter = self.dataIn.windowOfFilter |
|
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48 | 50 | |
|
|
49 | 51 | self.dataOut.frequency = self.dataIn.frequency |
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|
50 | 52 | self.dataOut.realtime = self.dataIn.realtime |
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51 | 53 | |
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|
52 | 54 | self.dataOut.azimuth = self.dataIn.azimuth |
|
|
53 | 55 | self.dataOut.zenith = self.dataIn.zenith |
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54 | 56 | |
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|
55 | 57 | self.dataOut.beam.codeList = self.dataIn.beam.codeList |
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|
56 | 58 | self.dataOut.beam.azimuthList = self.dataIn.beam.azimuthList |
|
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57 | 59 | self.dataOut.beam.zenithList = self.dataIn.beam.zenithList |
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58 | 60 | |
|
|
59 | 61 | def __getFft(self): |
|
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60 | 62 | """ |
|
|
61 | 63 | Convierte valores de Voltaje a Spectra |
|
|
62 | 64 | |
|
|
63 | 65 | Affected: |
|
|
64 | 66 | self.dataOut.data_spc |
|
|
65 | 67 | self.dataOut.data_cspc |
|
|
66 | 68 | self.dataOut.data_dc |
|
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67 | 69 | self.dataOut.heightList |
|
|
68 | 70 | self.profIndex |
|
|
69 | 71 | self.buffer |
|
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70 | 72 | self.dataOut.flagNoData |
|
|
71 | 73 | """ |
|
|
72 | 74 | fft_volt = numpy.fft.fft(self.buffer,n=self.dataOut.nFFTPoints,axis=1) |
|
|
73 | 75 | fft_volt = fft_volt.astype(numpy.dtype('complex')) |
|
|
74 | 76 | dc = fft_volt[:,0,:] |
|
|
75 | 77 | |
|
|
76 | 78 | #calculo de self-spectra |
|
|
77 | 79 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) |
|
|
78 | 80 | spc = fft_volt * numpy.conjugate(fft_volt) |
|
|
79 | 81 | spc = spc.real |
|
|
80 | 82 | |
|
|
81 | 83 | blocksize = 0 |
|
|
82 | 84 | blocksize += dc.size |
|
|
83 | 85 | blocksize += spc.size |
|
|
84 | 86 | |
|
|
85 | 87 | cspc = None |
|
|
86 | 88 | pairIndex = 0 |
|
|
87 | 89 | if self.dataOut.pairsList != None: |
|
|
88 | 90 | #calculo de cross-spectra |
|
|
89 | 91 | cspc = numpy.zeros((self.dataOut.nPairs, self.dataOut.nFFTPoints, self.dataOut.nHeights), dtype='complex') |
|
|
90 | 92 | for pair in self.dataOut.pairsList: |
|
|
91 | 93 | if pair[0] not in self.dataOut.channelList: |
|
|
92 | 94 | raise ValueError, "Error getting CrossSpectra: pair 0 of %s is not in channelList = %s" %(str(pair), str(self.dataOut.channelList)) |
|
|
93 | 95 | if pair[1] not in self.dataOut.channelList: |
|
|
94 | 96 | raise ValueError, "Error getting CrossSpectra: pair 1 of %s is not in channelList = %s" %(str(pair), str(self.dataOut.channelList)) |
|
|
95 | 97 | |
|
|
96 | 98 | cspc[pairIndex,:,:] = fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:]) |
|
|
97 | 99 | pairIndex += 1 |
|
|
98 | 100 | blocksize += cspc.size |
|
|
99 | 101 | |
|
|
100 | 102 | self.dataOut.data_spc = spc |
|
|
101 | 103 | self.dataOut.data_cspc = cspc |
|
|
102 | 104 | self.dataOut.data_dc = dc |
|
|
103 | 105 | self.dataOut.blockSize = blocksize |
|
|
104 | 106 | self.dataOut.flagShiftFFT = True |
|
|
105 | 107 | |
|
|
106 | 108 | def run(self, nProfiles=None, nFFTPoints=None, pairsList=[], ippFactor=None): |
|
|
107 | 109 | |
|
|
108 | 110 | self.dataOut.flagNoData = True |
|
|
109 | 111 | |
|
|
110 | 112 | if self.dataIn.type == "Spectra": |
|
|
111 | 113 | self.dataOut.copy(self.dataIn) |
|
|
112 | 114 | # self.__selectPairs(pairsList) |
|
|
113 | 115 | return True |
|
|
114 | 116 | |
|
|
115 | 117 | if self.dataIn.type == "Voltage": |
|
|
116 | 118 | |
|
|
117 | 119 | if nFFTPoints == None: |
|
|
118 | 120 | raise ValueError, "This SpectraProc.run() need nFFTPoints input variable" |
|
|
119 | 121 | |
|
|
120 | 122 | if nProfiles == None: |
|
|
121 | 123 | nProfiles = nFFTPoints |
|
|
122 | 124 | |
|
|
123 | 125 | if ippFactor == None: |
|
|
124 | 126 | ippFactor = 1 |
|
|
125 | 127 | |
|
|
126 | 128 | self.dataOut.ippFactor = ippFactor |
|
|
127 | 129 | |
|
|
128 | 130 | self.dataOut.nFFTPoints = nFFTPoints |
|
|
129 | 131 | self.dataOut.pairsList = pairsList |
|
|
130 | 132 | |
|
|
131 | 133 | if self.buffer is None: |
|
|
132 | 134 | self.buffer = numpy.zeros( (self.dataIn.nChannels, |
|
|
133 | 135 | nProfiles, |
|
|
134 | 136 | self.dataIn.nHeights), |
|
|
135 | 137 | dtype='complex') |
|
|
136 | 138 | |
|
|
137 | 139 | if self.dataIn.flagDataAsBlock: |
|
|
138 | 140 | #data dimension: [nChannels, nProfiles, nSamples] |
|
|
139 | 141 | nVoltProfiles = self.dataIn.data.shape[1] |
|
|
140 | 142 | # nVoltProfiles = self.dataIn.nProfiles |
|
|
141 | 143 | |
|
|
142 | 144 | if nVoltProfiles == nProfiles: |
|
|
143 | 145 | self.buffer = self.dataIn.data.copy() |
|
|
144 | 146 | self.profIndex = nVoltProfiles |
|
|
145 | 147 | |
|
|
146 | 148 | elif nVoltProfiles < nProfiles: |
|
|
147 | 149 | |
|
|
148 | 150 | if self.profIndex == 0: |
|
|
149 | 151 | self.id_min = 0 |
|
|
150 | 152 | self.id_max = nVoltProfiles |
|
|
151 | 153 | |
|
|
152 | 154 | self.buffer[:,self.id_min:self.id_max,:] = self.dataIn.data |
|
|
153 | 155 | self.profIndex += nVoltProfiles |
|
|
154 | 156 | self.id_min += nVoltProfiles |
|
|
155 | 157 | self.id_max += nVoltProfiles |
|
|
156 | 158 | else: |
|
|
157 | 159 | raise ValueError, "The type object %s has %d profiles, it should just has %d profiles"%(self.dataIn.type,self.dataIn.data.shape[1],nProfiles) |
|
|
158 | 160 | self.dataOut.flagNoData = True |
|
|
159 | 161 | return 0 |
|
|
160 | 162 | else: |
|
|
161 | 163 | self.buffer[:,self.profIndex,:] = self.dataIn.data.copy() |
|
|
162 | 164 | self.profIndex += 1 |
|
|
163 | 165 | |
|
|
164 | 166 | if self.firstdatatime == None: |
|
|
165 | 167 | self.firstdatatime = self.dataIn.utctime |
|
|
166 | 168 | |
|
|
167 | 169 | if self.profIndex == nProfiles: |
|
|
168 | 170 | self.__updateSpecFromVoltage() |
|
|
169 | 171 | self.__getFft() |
|
|
170 | 172 | |
|
|
171 | 173 | self.dataOut.flagNoData = False |
|
|
172 | 174 | self.firstdatatime = None |
|
|
173 | 175 | self.profIndex = 0 |
|
|
174 | 176 | |
|
|
175 | 177 | return True |
|
|
176 | 178 | |
|
|
177 | 179 | raise ValueError, "The type of input object '%s' is not valid"%(self.dataIn.type) |
|
|
178 | 180 | |
|
|
179 | 181 | def __selectPairs(self, pairsList): |
|
|
180 | 182 | |
|
|
181 | 183 | if channelList == None: |
|
|
182 | 184 | return |
|
|
183 | 185 | |
|
|
184 | 186 | pairsIndexListSelected = [] |
|
|
185 | 187 | |
|
|
186 | 188 | for thisPair in pairsList: |
|
|
187 | 189 | |
|
|
188 | 190 | if thisPair not in self.dataOut.pairsList: |
|
|
189 | 191 | continue |
|
|
190 | 192 | |
|
|
191 | 193 | pairIndex = self.dataOut.pairsList.index(thisPair) |
|
|
192 | 194 | |
|
|
193 | 195 | pairsIndexListSelected.append(pairIndex) |
|
|
194 | 196 | |
|
|
195 | 197 | if not pairsIndexListSelected: |
|
|
196 | 198 | self.dataOut.data_cspc = None |
|
|
197 | 199 | self.dataOut.pairsList = [] |
|
|
198 | 200 | return |
|
|
199 | 201 | |
|
|
200 | 202 | self.dataOut.data_cspc = self.dataOut.data_cspc[pairsIndexListSelected] |
|
|
201 | 203 | self.dataOut.pairsList = [self.dataOut.pairsList[i] for i in pairsIndexListSelected] |
|
|
202 | 204 | |
|
|
203 | 205 | return |
|
|
204 | 206 | |
|
|
205 | 207 | def __selectPairsByChannel(self, channelList=None): |
|
|
206 | 208 | |
|
|
207 | 209 | if channelList == None: |
|
|
208 | 210 | return |
|
|
209 | 211 | |
|
|
210 | 212 | pairsIndexListSelected = [] |
|
|
211 | 213 | for pairIndex in self.dataOut.pairsIndexList: |
|
|
212 | 214 | #First pair |
|
|
213 | 215 | if self.dataOut.pairsList[pairIndex][0] not in channelList: |
|
|
214 | 216 | continue |
|
|
215 | 217 | #Second pair |
|
|
216 | 218 | if self.dataOut.pairsList[pairIndex][1] not in channelList: |
|
|
217 | 219 | continue |
|
|
218 | 220 | |
|
|
219 | 221 | pairsIndexListSelected.append(pairIndex) |
|
|
220 | 222 | |
|
|
221 | 223 | if not pairsIndexListSelected: |
|
|
222 | 224 | self.dataOut.data_cspc = None |
|
|
223 | 225 | self.dataOut.pairsList = [] |
|
|
224 | 226 | return |
|
|
225 | 227 | |
|
|
226 | 228 | self.dataOut.data_cspc = self.dataOut.data_cspc[pairsIndexListSelected] |
|
|
227 | 229 | self.dataOut.pairsList = [self.dataOut.pairsList[i] for i in pairsIndexListSelected] |
|
|
228 | 230 | |
|
|
229 | 231 | return |
|
|
230 | 232 | |
|
|
231 | 233 | def selectChannels(self, channelList): |
|
|
232 | 234 | |
|
|
233 | 235 | channelIndexList = [] |
|
|
234 | 236 | |
|
|
235 | 237 | for channel in channelList: |
|
|
236 | 238 | if channel not in self.dataOut.channelList: |
|
|
237 | 239 | raise ValueError, "Error selecting channels, Channel %d is not valid.\nAvailable channels = %s" %(channel, str(self.dataOut.channelList)) |
|
|
238 | 240 | |
|
|
239 | 241 | index = self.dataOut.channelList.index(channel) |
|
|
240 | 242 | channelIndexList.append(index) |
|
|
241 | 243 | |
|
|
242 | 244 | self.selectChannelsByIndex(channelIndexList) |
|
|
243 | 245 | |
|
|
244 | 246 | def selectChannelsByIndex(self, channelIndexList): |
|
|
245 | 247 | """ |
|
|
246 | 248 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|
247 | 249 | |
|
|
248 | 250 | Input: |
|
|
249 | 251 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|
250 | 252 | |
|
|
251 | 253 | Affected: |
|
|
252 | 254 | self.dataOut.data_spc |
|
|
253 | 255 | self.dataOut.channelIndexList |
|
|
254 | 256 | self.dataOut.nChannels |
|
|
255 | 257 | |
|
|
256 | 258 | Return: |
|
|
257 | 259 | None |
|
|
258 | 260 | """ |
|
|
259 | 261 | |
|
|
260 | 262 | for channelIndex in channelIndexList: |
|
|
261 | 263 | if channelIndex not in self.dataOut.channelIndexList: |
|
|
262 | 264 | raise ValueError, "Error selecting channels: The value %d in channelIndexList is not valid.\nAvailable channel indexes = " %(channelIndex, self.dataOut.channelIndexList) |
|
|
263 | 265 | |
|
|
264 | 266 | # nChannels = len(channelIndexList) |
|
|
265 | 267 | |
|
|
266 | 268 | data_spc = self.dataOut.data_spc[channelIndexList,:] |
|
|
267 | 269 | data_dc = self.dataOut.data_dc[channelIndexList,:] |
|
|
268 | 270 | |
|
|
269 | 271 | self.dataOut.data_spc = data_spc |
|
|
270 | 272 | self.dataOut.data_dc = data_dc |
|
|
271 | 273 | |
|
|
272 | 274 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|
273 | 275 | # self.dataOut.nChannels = nChannels |
|
|
274 | 276 | |
|
|
275 | 277 | self.__selectPairsByChannel(self.dataOut.channelList) |
|
|
276 | 278 | |
|
|
277 | 279 | return 1 |
|
|
280 | ||
|
|
281 | ||
|
|
282 | def selectFFTs(self, minFFT, maxFFT ): | |
|
|
283 | """ | |
|
|
284 | Selecciona un bloque de datos en base a un grupo de valores de puntos FFTs segun el rango | |
|
|
285 | minFFT<= FFT <= maxFFT | |
|
|
286 | """ | |
|
|
287 | ||
|
|
288 | if (minFFT > maxFFT): | |
|
|
289 | raise ValueError, "Error selecting heights: Height range (%d,%d) is not valid" % (minFFT, maxFFT) | |
|
|
290 | ||
|
|
291 | if (minFFT < self.dataOut.getFreqRange()[0]): | |
|
|
292 | minFFT = self.dataOut.getFreqRange()[0] | |
|
|
293 | ||
|
|
294 | if (maxFFT > self.dataOut.getFreqRange()[-1]): | |
|
|
295 | maxFFT = self.dataOut.getFreqRange()[-1] | |
|
|
296 | ||
|
|
297 | minIndex = 0 | |
|
|
298 | maxIndex = 0 | |
|
|
299 | FFTs = self.dataOut.getFreqRange() | |
|
|
300 | ||
|
|
301 | inda = numpy.where(FFTs >= minFFT) | |
|
|
302 | indb = numpy.where(FFTs <= maxFFT) | |
|
|
278 | 303 | |
|
|
304 | try: | |
|
|
305 | minIndex = inda[0][0] | |
|
|
306 | except: | |
|
|
307 | minIndex = 0 | |
|
|
308 | ||
|
|
309 | try: | |
|
|
310 | maxIndex = indb[0][-1] | |
|
|
311 | except: | |
|
|
312 | maxIndex = len(FFTs) | |
|
|
313 | ||
|
|
314 | self.selectFFTsByIndex(minIndex, maxIndex) | |
|
|
315 | ||
|
|
316 | return 1 | |
|
|
317 | ||
|
|
318 | ||
|
|
319 | ||
|
|
279 | 320 | def selectHeights(self, minHei, maxHei): |
|
|
280 | 321 | """ |
|
|
281 | 322 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
|
282 | 323 | minHei <= height <= maxHei |
|
|
283 | 324 | |
|
|
284 | 325 | Input: |
|
|
285 | 326 | minHei : valor minimo de altura a considerar |
|
|
286 | 327 | maxHei : valor maximo de altura a considerar |
|
|
287 | 328 | |
|
|
288 | 329 | Affected: |
|
|
289 | 330 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
|
290 | 331 | |
|
|
291 | 332 | Return: |
|
|
292 | 333 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
293 | 334 | """ |
|
|
294 | 335 | |
|
|
336 | ||
|
|
295 | 337 | if (minHei > maxHei): |
|
|
296 | 338 | raise ValueError, "Error selecting heights: Height range (%d,%d) is not valid" % (minHei, maxHei) |
|
|
297 | 339 | |
|
|
298 | 340 | if (minHei < self.dataOut.heightList[0]): |
|
|
299 | 341 | minHei = self.dataOut.heightList[0] |
|
|
300 | 342 | |
|
|
301 | 343 | if (maxHei > self.dataOut.heightList[-1]): |
|
|
302 | 344 | maxHei = self.dataOut.heightList[-1] |
|
|
303 | 345 | |
|
|
304 | 346 | minIndex = 0 |
|
|
305 | 347 | maxIndex = 0 |
|
|
306 | 348 | heights = self.dataOut.heightList |
|
|
307 | 349 | |
|
|
308 | 350 | inda = numpy.where(heights >= minHei) |
|
|
309 | 351 | indb = numpy.where(heights <= maxHei) |
|
|
310 | 352 | |
|
|
311 | 353 | try: |
|
|
312 | 354 | minIndex = inda[0][0] |
|
|
313 | 355 | except: |
|
|
314 | 356 | minIndex = 0 |
|
|
315 | 357 | |
|
|
316 | 358 | try: |
|
|
317 | 359 | maxIndex = indb[0][-1] |
|
|
318 | 360 | except: |
|
|
319 | 361 | maxIndex = len(heights) |
|
|
320 | 362 | |
|
|
321 | 363 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
|
364 | ||
|
|
322 | 365 | |
|
|
323 | 366 | return 1 |
|
|
324 | 367 | |
|
|
325 | 368 | def getBeaconSignal(self, tauindex = 0, channelindex = 0, hei_ref=None): |
|
|
326 | 369 | newheis = numpy.where(self.dataOut.heightList>self.dataOut.radarControllerHeaderObj.Taus[tauindex]) |
|
|
327 | 370 | |
|
|
328 | 371 | if hei_ref != None: |
|
|
329 | 372 | newheis = numpy.where(self.dataOut.heightList>hei_ref) |
|
|
330 | 373 | |
|
|
331 | 374 | minIndex = min(newheis[0]) |
|
|
332 | 375 | maxIndex = max(newheis[0]) |
|
|
333 | 376 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] |
|
|
334 | 377 | heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
|
335 | 378 | |
|
|
336 | 379 | # determina indices |
|
|
337 | 380 | nheis = int(self.dataOut.radarControllerHeaderObj.txB/(self.dataOut.heightList[1]-self.dataOut.heightList[0])) |
|
|
338 | 381 | avg_dB = 10*numpy.log10(numpy.sum(data_spc[channelindex,:,:],axis=0)) |
|
|
339 | 382 | beacon_dB = numpy.sort(avg_dB)[-nheis:] |
|
|
340 | 383 | beacon_heiIndexList = [] |
|
|
341 | 384 | for val in avg_dB.tolist(): |
|
|
342 | 385 | if val >= beacon_dB[0]: |
|
|
343 | 386 | beacon_heiIndexList.append(avg_dB.tolist().index(val)) |
|
|
344 | 387 | |
|
|
345 | 388 | #data_spc = data_spc[:,:,beacon_heiIndexList] |
|
|
346 | 389 | data_cspc = None |
|
|
347 | 390 | if self.dataOut.data_cspc is not None: |
|
|
348 | 391 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] |
|
|
349 | 392 | #data_cspc = data_cspc[:,:,beacon_heiIndexList] |
|
|
350 | 393 | |
|
|
351 | 394 | data_dc = None |
|
|
352 | 395 | if self.dataOut.data_dc is not None: |
|
|
353 | 396 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] |
|
|
354 | 397 | #data_dc = data_dc[:,beacon_heiIndexList] |
|
|
355 | 398 | |
|
|
356 | 399 | self.dataOut.data_spc = data_spc |
|
|
357 | 400 | self.dataOut.data_cspc = data_cspc |
|
|
358 | 401 | self.dataOut.data_dc = data_dc |
|
|
359 | 402 | self.dataOut.heightList = heightList |
|
|
360 | 403 | self.dataOut.beacon_heiIndexList = beacon_heiIndexList |
|
|
361 | 404 | |
|
|
362 | 405 | return 1 |
|
|
363 | 406 | |
|
|
407 | def selectFFTsByIndex(self, minIndex, maxIndex): | |
|
|
408 | """ | |
|
|
409 | ||
|
|
410 | """ | |
|
|
411 | ||
|
|
412 | if (minIndex < 0) or (minIndex > maxIndex): | |
|
|
413 | raise ValueError, "Error selecting heights: Index range (%d,%d) is not valid" % (minIndex, maxIndex) | |
|
|
414 | ||
|
|
415 | if (maxIndex >= self.dataOut.nProfiles): | |
|
|
416 | maxIndex = self.dataOut.nProfiles-1 | |
|
|
417 | ||
|
|
418 | #Spectra | |
|
|
419 | data_spc = self.dataOut.data_spc[:,minIndex:maxIndex+1,:] | |
|
|
420 | ||
|
|
421 | data_cspc = None | |
|
|
422 | if self.dataOut.data_cspc is not None: | |
|
|
423 | data_cspc = self.dataOut.data_cspc[:,minIndex:maxIndex+1,:] | |
|
|
424 | ||
|
|
425 | data_dc = None | |
|
|
426 | if self.dataOut.data_dc is not None: | |
|
|
427 | data_dc = self.dataOut.data_dc[minIndex:maxIndex+1,:] | |
|
|
428 | ||
|
|
429 | self.dataOut.data_spc = data_spc | |
|
|
430 | self.dataOut.data_cspc = data_cspc | |
|
|
431 | self.dataOut.data_dc = data_dc | |
|
|
432 | ||
|
|
433 | self.dataOut.ippSeconds = self.dataOut.ippSeconds*(self.dataOut.nFFTPoints / numpy.shape(data_cspc)[1]) | |
|
|
434 | self.dataOut.nFFTPoints = numpy.shape(data_cspc)[1] | |
|
|
435 | self.dataOut.profilesPerBlock = numpy.shape(data_cspc)[1] | |
|
|
436 | ||
|
|
437 | #self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] | |
|
|
438 | ||
|
|
439 | return 1 | |
|
|
440 | ||
|
|
441 | ||
|
|
364 | 442 | |
|
|
365 | 443 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
|
366 | 444 | """ |
|
|
367 | 445 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
|
368 | 446 | minIndex <= index <= maxIndex |
|
|
369 | 447 | |
|
|
370 | 448 | Input: |
|
|
371 | 449 | minIndex : valor de indice minimo de altura a considerar |
|
|
372 | 450 | maxIndex : valor de indice maximo de altura a considerar |
|
|
373 | 451 | |
|
|
374 | 452 | Affected: |
|
|
375 | 453 | self.dataOut.data_spc |
|
|
376 | 454 | self.dataOut.data_cspc |
|
|
377 | 455 | self.dataOut.data_dc |
|
|
378 | 456 | self.dataOut.heightList |
|
|
379 | 457 | |
|
|
380 | 458 | Return: |
|
|
381 | 459 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
382 | 460 | """ |
|
|
383 | 461 | |
|
|
384 | 462 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
385 | 463 | raise ValueError, "Error selecting heights: Index range (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
386 | 464 | |
|
|
387 | 465 | if (maxIndex >= self.dataOut.nHeights): |
|
|
388 | 466 | maxIndex = self.dataOut.nHeights-1 |
|
|
389 | 467 | |
|
|
390 | 468 | #Spectra |
|
|
391 | 469 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] |
|
|
392 | 470 | |
|
|
393 | 471 | data_cspc = None |
|
|
394 | 472 | if self.dataOut.data_cspc is not None: |
|
|
395 | 473 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] |
|
|
396 | 474 | |
|
|
397 | 475 | data_dc = None |
|
|
398 | 476 | if self.dataOut.data_dc is not None: |
|
|
399 | 477 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] |
|
|
400 | 478 | |
|
|
401 | 479 | self.dataOut.data_spc = data_spc |
|
|
402 | 480 | self.dataOut.data_cspc = data_cspc |
|
|
403 | 481 | self.dataOut.data_dc = data_dc |
|
|
404 | 482 | |
|
|
405 | 483 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
|
406 | 484 | |
|
|
407 | 485 | return 1 |
|
|
408 | ||
|
|
486 | ||
|
|
487 | ||
|
|
409 | 488 | def removeDC(self, mode = 2): |
|
|
410 | 489 | jspectra = self.dataOut.data_spc |
|
|
411 | 490 | jcspectra = self.dataOut.data_cspc |
|
|
412 | 491 | |
|
|
413 | 492 | |
|
|
414 | 493 | num_chan = jspectra.shape[0] |
|
|
415 | 494 | num_hei = jspectra.shape[2] |
|
|
416 | 495 | |
|
|
417 | 496 | if jcspectra is not None: |
|
|
418 | 497 | jcspectraExist = True |
|
|
419 | 498 | num_pairs = jcspectra.shape[0] |
|
|
420 | 499 | else: jcspectraExist = False |
|
|
421 | 500 | |
|
|
422 | 501 | freq_dc = jspectra.shape[1]/2 |
|
|
423 | 502 | ind_vel = numpy.array([-2,-1,1,2]) + freq_dc |
|
|
424 | 503 | |
|
|
425 | 504 | if ind_vel[0]<0: |
|
|
426 | 505 | ind_vel[range(0,1)] = ind_vel[range(0,1)] + self.num_prof |
|
|
427 | 506 | |
|
|
428 | 507 | if mode == 1: |
|
|
429 | 508 | jspectra[:,freq_dc,:] = (jspectra[:,ind_vel[1],:] + jspectra[:,ind_vel[2],:])/2 #CORRECCION |
|
|
430 | 509 | |
|
|
431 | 510 | if jcspectraExist: |
|
|
432 | 511 | jcspectra[:,freq_dc,:] = (jcspectra[:,ind_vel[1],:] + jcspectra[:,ind_vel[2],:])/2 |
|
|
433 | 512 | |
|
|
434 | 513 | if mode == 2: |
|
|
435 | 514 | |
|
|
436 | 515 | vel = numpy.array([-2,-1,1,2]) |
|
|
437 | 516 | xx = numpy.zeros([4,4]) |
|
|
438 | 517 | |
|
|
439 | 518 | for fil in range(4): |
|
|
440 | 519 | xx[fil,:] = vel[fil]**numpy.asarray(range(4)) |
|
|
441 | 520 | |
|
|
442 | 521 | xx_inv = numpy.linalg.inv(xx) |
|
|
443 | 522 | xx_aux = xx_inv[0,:] |
|
|
444 | 523 | |
|
|
445 | 524 | for ich in range(num_chan): |
|
|
446 | 525 | yy = jspectra[ich,ind_vel,:] |
|
|
447 | 526 | jspectra[ich,freq_dc,:] = numpy.dot(xx_aux,yy) |
|
|
448 | 527 | |
|
|
449 | 528 | junkid = jspectra[ich,freq_dc,:]<=0 |
|
|
450 | 529 | cjunkid = sum(junkid) |
|
|
451 | 530 | |
|
|
452 | 531 | if cjunkid.any(): |
|
|
453 | 532 | jspectra[ich,freq_dc,junkid.nonzero()] = (jspectra[ich,ind_vel[1],junkid] + jspectra[ich,ind_vel[2],junkid])/2 |
|
|
454 | 533 | |
|
|
455 | 534 | if jcspectraExist: |
|
|
456 | 535 | for ip in range(num_pairs): |
|
|
457 | 536 | yy = jcspectra[ip,ind_vel,:] |
|
|
458 | 537 | jcspectra[ip,freq_dc,:] = numpy.dot(xx_aux,yy) |
|
|
459 | 538 | |
|
|
460 | 539 | |
|
|
461 | 540 | self.dataOut.data_spc = jspectra |
|
|
462 | 541 | self.dataOut.data_cspc = jcspectra |
|
|
463 | 542 | |
|
|
464 | 543 | return 1 |
|
|
465 | 544 | |
|
|
545 | def removeInterference2(self): | |
|
|
546 | ||
|
|
547 | cspc = self.dataOut.data_cspc | |
|
|
548 | spc = self.dataOut.data_spc | |
|
|
549 | print numpy.shape(spc) | |
|
|
550 | Heights = numpy.arange(cspc.shape[2]) | |
|
|
551 | realCspc = numpy.abs(cspc) | |
|
|
552 | ||
|
|
553 | for i in range(cspc.shape[0]): | |
|
|
554 | LinePower= numpy.sum(realCspc[i], axis=0) | |
|
|
555 | Threshold = numpy.amax(LinePower)-numpy.sort(LinePower)[len(Heights)-int(len(Heights)*0.1)] | |
|
|
556 | SelectedHeights = Heights[ numpy.where( LinePower < Threshold ) ] | |
|
|
557 | #print numpy.shape(realCspc) | |
|
|
558 | #print '',SelectedHeights, '', numpy.shape(realCspc[i,:,SelectedHeights]) | |
|
|
559 | InterferenceSum = numpy.sum( realCspc[i,:,SelectedHeights], axis=0 ) | |
|
|
560 | print SelectedHeights | |
|
|
561 | InterferenceThresholdMin = numpy.sort(InterferenceSum)[int(len(InterferenceSum)*0.98)] | |
|
|
562 | InterferenceThresholdMax = numpy.sort(InterferenceSum)[int(len(InterferenceSum)*0.99)] | |
|
|
563 | ||
|
|
564 | ||
|
|
565 | InterferenceRange = numpy.where( ([InterferenceSum > InterferenceThresholdMin]))# , InterferenceSum < InterferenceThresholdMax]) ) | |
|
|
566 | #InterferenceRange = numpy.where( ([InterferenceRange < InterferenceThresholdMax])) | |
|
|
567 | if len(InterferenceRange)<int(cspc.shape[1]*0.3): | |
|
|
568 | cspc[i,InterferenceRange,:] = numpy.NaN | |
|
|
569 | ||
|
|
570 | print '########################################################################################' | |
|
|
571 | print 'Len interference sum',len(InterferenceSum) | |
|
|
572 | print 'InterferenceThresholdMin', InterferenceThresholdMin, 'InterferenceThresholdMax', InterferenceThresholdMax | |
|
|
573 | print 'InterferenceRange',InterferenceRange | |
|
|
574 | print '########################################################################################' | |
|
|
575 | ||
|
|
576 | ''' Ploteo ''' | |
|
|
577 | ||
|
|
578 | #for i in range(3): | |
|
|
579 | #print 'FASE', numpy.shape(phase), y[25] | |
|
|
580 | #print numpy.shape(coherence) | |
|
|
581 | #fig = plt.figure(10+ int(numpy.random.rand()*100)) | |
|
|
582 | #plt.plot( x[0:256],coherence[:,25] ) | |
|
|
583 | #cohAv = numpy.average(coherence[i],1) | |
|
|
584 | #Pendiente = FrecRange * PhaseSlope[i] | |
|
|
585 | #plt.plot( InterferenceSum) | |
|
|
586 | #plt.plot( numpy.sort(InterferenceSum)) | |
|
|
587 | #plt.plot( LinePower ) | |
|
|
588 | #plt.plot( xFrec,phase[i]) | |
|
|
589 | ||
|
|
590 | #CSPCmean = numpy.mean(numpy.abs(CSPCSamples),0) | |
|
|
591 | #plt.plot(xFrec, FitGauss01) | |
|
|
592 | #plt.plot(xFrec, CSPCmean) | |
|
|
593 | #plt.plot(xFrec, numpy.abs(CSPCSamples[0])) | |
|
|
594 | #plt.plot(xFrec, FitGauss) | |
|
|
595 | #plt.plot(xFrec, yMean) | |
|
|
596 | #plt.plot(xFrec, numpy.abs(coherence[0])) | |
|
|
597 | ||
|
|
598 | #plt.axis([-12, 12, 15, 50]) | |
|
|
599 | #plt.title("%s" %( '%s %s, Channel %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S") , i))) | |
|
|
600 | ||
|
|
601 | ||
|
|
602 | #fig.savefig('/home/erick/Documents/Pics/nom{}.png'.format(int(numpy.random.rand()*100))) | |
|
|
603 | ||
|
|
604 | #plt.show() | |
|
|
605 | #self.indice=self.indice+1 | |
|
|
606 | #raise | |
|
|
607 | ||
|
|
608 | ||
|
|
609 | self.dataOut.data_cspc = cspc | |
|
|
610 | ||
|
|
611 | # for i in range(spc.shape[0]): | |
|
|
612 | # LinePower= numpy.sum(spc[i], axis=0) | |
|
|
613 | # Threshold = numpy.amax(LinePower)-numpy.sort(LinePower)[len(Heights)-int(len(Heights)*0.1)] | |
|
|
614 | # SelectedHeights = Heights[ numpy.where( LinePower < Threshold ) ] | |
|
|
615 | # #print numpy.shape(realCspc) | |
|
|
616 | # #print '',SelectedHeights, '', numpy.shape(realCspc[i,:,SelectedHeights]) | |
|
|
617 | # InterferenceSum = numpy.sum( spc[i,:,SelectedHeights], axis=0 ) | |
|
|
618 | # InterferenceThreshold = numpy.sort(InterferenceSum)[int(len(InterferenceSum)*0.98)] | |
|
|
619 | # InterferenceRange = numpy.where( InterferenceSum > InterferenceThreshold ) | |
|
|
620 | # if len(InterferenceRange)<int(spc.shape[1]*0.03): | |
|
|
621 | # spc[i,InterferenceRange,:] = numpy.NaN | |
|
|
622 | ||
|
|
623 | #self.dataOut.data_spc = spc | |
|
|
624 | ||
|
|
466 | 625 | def removeInterference(self, interf = 2,hei_interf = None, nhei_interf = None, offhei_interf = None): |
|
|
467 | 626 | |
|
|
468 | 627 | jspectra = self.dataOut.data_spc |
|
|
469 | 628 | jcspectra = self.dataOut.data_cspc |
|
|
470 | 629 | jnoise = self.dataOut.getNoise() |
|
|
471 | 630 | num_incoh = self.dataOut.nIncohInt |
|
|
472 | 631 | |
|
|
473 | 632 | num_channel = jspectra.shape[0] |
|
|
474 | 633 | num_prof = jspectra.shape[1] |
|
|
475 | 634 | num_hei = jspectra.shape[2] |
|
|
476 | 635 | |
|
|
477 | 636 | #hei_interf |
|
|
478 | 637 | if hei_interf is None: |
|
|
479 | 638 | count_hei = num_hei/2 #Como es entero no importa |
|
|
480 | 639 | hei_interf = numpy.asmatrix(range(count_hei)) + num_hei - count_hei |
|
|
481 | 640 | hei_interf = numpy.asarray(hei_interf)[0] |
|
|
482 | 641 | #nhei_interf |
|
|
483 | 642 | if (nhei_interf == None): |
|
|
484 | 643 | nhei_interf = 5 |
|
|
485 | 644 | if (nhei_interf < 1): |
|
|
486 | 645 | nhei_interf = 1 |
|
|
487 | 646 | if (nhei_interf > count_hei): |
|
|
488 | 647 | nhei_interf = count_hei |
|
|
489 | 648 | if (offhei_interf == None): |
|
|
490 | 649 | offhei_interf = 0 |
|
|
491 | 650 | |
|
|
492 | 651 | ind_hei = range(num_hei) |
|
|
493 | 652 | # mask_prof = numpy.asarray(range(num_prof - 2)) + 1 |
|
|
494 | 653 | # mask_prof[range(num_prof/2 - 1,len(mask_prof))] += 1 |
|
|
495 | 654 | mask_prof = numpy.asarray(range(num_prof)) |
|
|
496 | 655 | num_mask_prof = mask_prof.size |
|
|
497 | 656 | comp_mask_prof = [0, num_prof/2] |
|
|
498 | 657 | |
|
|
499 | 658 | |
|
|
500 | 659 | #noise_exist: Determina si la variable jnoise ha sido definida y contiene la informacion del ruido de cada canal |
|
|
501 | 660 | if (jnoise.size < num_channel or numpy.isnan(jnoise).any()): |
|
|
502 | 661 | jnoise = numpy.nan |
|
|
503 | 662 | noise_exist = jnoise[0] < numpy.Inf |
|
|
504 | 663 | |
|
|
505 | 664 | #Subrutina de Remocion de la Interferencia |
|
|
506 | 665 | for ich in range(num_channel): |
|
|
507 | 666 | #Se ordena los espectros segun su potencia (menor a mayor) |
|
|
508 | 667 | power = jspectra[ich,mask_prof,:] |
|
|
509 | 668 | power = power[:,hei_interf] |
|
|
510 | 669 | power = power.sum(axis = 0) |
|
|
511 | 670 | psort = power.ravel().argsort() |
|
|
512 | 671 | |
|
|
513 | 672 | #Se estima la interferencia promedio en los Espectros de Potencia empleando |
|
|
514 | 673 | junkspc_interf = jspectra[ich,:,hei_interf[psort[range(offhei_interf, nhei_interf + offhei_interf)]]] |
|
|
515 | 674 | |
|
|
516 | 675 | if noise_exist: |
|
|
517 | 676 | # tmp_noise = jnoise[ich] / num_prof |
|
|
518 | 677 | tmp_noise = jnoise[ich] |
|
|
519 | 678 | junkspc_interf = junkspc_interf - tmp_noise |
|
|
520 | 679 | #junkspc_interf[:,comp_mask_prof] = 0 |
|
|
521 | 680 | |
|
|
522 | 681 | jspc_interf = junkspc_interf.sum(axis = 0) / nhei_interf |
|
|
523 | 682 | jspc_interf = jspc_interf.transpose() |
|
|
524 | 683 | #Calculando el espectro de interferencia promedio |
|
|
525 | 684 | noiseid = numpy.where(jspc_interf <= tmp_noise/ numpy.sqrt(num_incoh)) |
|
|
526 | 685 | noiseid = noiseid[0] |
|
|
527 | 686 | cnoiseid = noiseid.size |
|
|
528 | 687 | interfid = numpy.where(jspc_interf > tmp_noise/ numpy.sqrt(num_incoh)) |
|
|
529 | 688 | interfid = interfid[0] |
|
|
530 | 689 | cinterfid = interfid.size |
|
|
531 | 690 | |
|
|
532 | 691 | if (cnoiseid > 0): jspc_interf[noiseid] = 0 |
|
|
533 | 692 | |
|
|
534 | 693 | #Expandiendo los perfiles a limpiar |
|
|
535 | 694 | if (cinterfid > 0): |
|
|
536 | 695 | new_interfid = (numpy.r_[interfid - 1, interfid, interfid + 1] + num_prof)%num_prof |
|
|
537 | 696 | new_interfid = numpy.asarray(new_interfid) |
|
|
538 | 697 | new_interfid = {x for x in new_interfid} |
|
|
539 | 698 | new_interfid = numpy.array(list(new_interfid)) |
|
|
540 | 699 | new_cinterfid = new_interfid.size |
|
|
541 | 700 | else: new_cinterfid = 0 |
|
|
542 | 701 | |
|
|
543 | 702 | for ip in range(new_cinterfid): |
|
|
544 | 703 | ind = junkspc_interf[:,new_interfid[ip]].ravel().argsort() |
|
|
545 | 704 | jspc_interf[new_interfid[ip]] = junkspc_interf[ind[nhei_interf/2],new_interfid[ip]] |
|
|
546 | 705 | |
|
|
547 | 706 | |
|
|
548 | 707 | jspectra[ich,:,ind_hei] = jspectra[ich,:,ind_hei] - jspc_interf #Corregir indices |
|
|
549 | 708 | |
|
|
550 | 709 | #Removiendo la interferencia del punto de mayor interferencia |
|
|
551 | 710 | ListAux = jspc_interf[mask_prof].tolist() |
|
|
552 | 711 | maxid = ListAux.index(max(ListAux)) |
|
|
553 | 712 | |
|
|
554 | 713 | |
|
|
555 | 714 | if cinterfid > 0: |
|
|
556 | 715 | for ip in range(cinterfid*(interf == 2) - 1): |
|
|
557 | 716 | ind = (jspectra[ich,interfid[ip],:] < tmp_noise*(1 + 1/numpy.sqrt(num_incoh))).nonzero() |
|
|
558 | 717 | cind = len(ind) |
|
|
559 | 718 | |
|
|
560 | 719 | if (cind > 0): |
|
|
561 | 720 | jspectra[ich,interfid[ip],ind] = tmp_noise*(1 + (numpy.random.uniform(cind) - 0.5)/numpy.sqrt(num_incoh)) |
|
|
562 | 721 | |
|
|
563 | 722 | ind = numpy.array([-2,-1,1,2]) |
|
|
564 | 723 | xx = numpy.zeros([4,4]) |
|
|
565 | 724 | |
|
|
566 | 725 | for id1 in range(4): |
|
|
567 | 726 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) |
|
|
568 | 727 | |
|
|
569 | 728 | xx_inv = numpy.linalg.inv(xx) |
|
|
570 | 729 | xx = xx_inv[:,0] |
|
|
571 | 730 | ind = (ind + maxid + num_mask_prof)%num_mask_prof |
|
|
572 | 731 | yy = jspectra[ich,mask_prof[ind],:] |
|
|
573 | 732 | jspectra[ich,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) |
|
|
574 | 733 | |
|
|
575 | 734 | |
|
|
576 | 735 | indAux = (jspectra[ich,:,:] < tmp_noise*(1-1/numpy.sqrt(num_incoh))).nonzero() |
|
|
577 | 736 | jspectra[ich,indAux[0],indAux[1]] = tmp_noise * (1 - 1/numpy.sqrt(num_incoh)) |
|
|
578 | 737 | |
|
|
579 | 738 | #Remocion de Interferencia en el Cross Spectra |
|
|
580 | 739 | if jcspectra is None: return jspectra, jcspectra |
|
|
581 | 740 | num_pairs = jcspectra.size/(num_prof*num_hei) |
|
|
582 | 741 | jcspectra = jcspectra.reshape(num_pairs, num_prof, num_hei) |
|
|
583 | 742 | |
|
|
584 | 743 | for ip in range(num_pairs): |
|
|
585 | 744 | |
|
|
586 | 745 | #------------------------------------------- |
|
|
587 | 746 | |
|
|
588 | 747 | cspower = numpy.abs(jcspectra[ip,mask_prof,:]) |
|
|
589 | 748 | cspower = cspower[:,hei_interf] |
|
|
590 | 749 | cspower = cspower.sum(axis = 0) |
|
|
591 | 750 | |
|
|
592 | 751 | cspsort = cspower.ravel().argsort() |
|
|
593 | 752 | junkcspc_interf = jcspectra[ip,:,hei_interf[cspsort[range(offhei_interf, nhei_interf + offhei_interf)]]] |
|
|
594 | 753 | junkcspc_interf = junkcspc_interf.transpose() |
|
|
595 | 754 | jcspc_interf = junkcspc_interf.sum(axis = 1)/nhei_interf |
|
|
596 | 755 | |
|
|
597 | 756 | ind = numpy.abs(jcspc_interf[mask_prof]).ravel().argsort() |
|
|
598 | 757 | |
|
|
599 | 758 | median_real = numpy.median(numpy.real(junkcspc_interf[mask_prof[ind[range(3*num_prof/4)]],:])) |
|
|
600 | 759 | median_imag = numpy.median(numpy.imag(junkcspc_interf[mask_prof[ind[range(3*num_prof/4)]],:])) |
|
|
601 | 760 | junkcspc_interf[comp_mask_prof,:] = numpy.complex(median_real, median_imag) |
|
|
602 | 761 | |
|
|
603 | 762 | for iprof in range(num_prof): |
|
|
604 | 763 | ind = numpy.abs(junkcspc_interf[iprof,:]).ravel().argsort() |
|
|
605 | 764 | jcspc_interf[iprof] = junkcspc_interf[iprof, ind[nhei_interf/2]] |
|
|
606 | 765 | |
|
|
607 | 766 | #Removiendo la Interferencia |
|
|
608 | 767 | jcspectra[ip,:,ind_hei] = jcspectra[ip,:,ind_hei] - jcspc_interf |
|
|
609 | 768 | |
|
|
610 | 769 | ListAux = numpy.abs(jcspc_interf[mask_prof]).tolist() |
|
|
611 | 770 | maxid = ListAux.index(max(ListAux)) |
|
|
612 | 771 | |
|
|
613 | 772 | ind = numpy.array([-2,-1,1,2]) |
|
|
614 | 773 | xx = numpy.zeros([4,4]) |
|
|
615 | 774 | |
|
|
616 | 775 | for id1 in range(4): |
|
|
617 | 776 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) |
|
|
618 | 777 | |
|
|
619 | 778 | xx_inv = numpy.linalg.inv(xx) |
|
|
620 | 779 | xx = xx_inv[:,0] |
|
|
621 | 780 | |
|
|
622 | 781 | ind = (ind + maxid + num_mask_prof)%num_mask_prof |
|
|
623 | 782 | yy = jcspectra[ip,mask_prof[ind],:] |
|
|
624 | 783 | jcspectra[ip,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) |
|
|
625 | 784 | |
|
|
626 | 785 | #Guardar Resultados |
|
|
627 | 786 | self.dataOut.data_spc = jspectra |
|
|
628 | 787 | self.dataOut.data_cspc = jcspectra |
|
|
629 | 788 | |
|
|
630 | 789 | return 1 |
|
|
631 | 790 | |
|
|
632 | 791 | def setRadarFrequency(self, frequency=None): |
|
|
633 | 792 | |
|
|
634 | 793 | if frequency != None: |
|
|
635 | 794 | self.dataOut.frequency = frequency |
|
|
636 | 795 | |
|
|
637 | 796 | return 1 |
|
|
638 | 797 | |
|
|
639 | 798 | def getNoise(self, minHei=None, maxHei=None, minVel=None, maxVel=None): |
|
|
640 | 799 | #validacion de rango |
|
|
641 | 800 | if minHei == None: |
|
|
642 | 801 | minHei = self.dataOut.heightList[0] |
|
|
643 | 802 | |
|
|
644 | 803 | if maxHei == None: |
|
|
645 | 804 | maxHei = self.dataOut.heightList[-1] |
|
|
646 | 805 | |
|
|
647 | 806 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
|
648 | 807 | print 'minHei: %.2f is out of the heights range'%(minHei) |
|
|
649 | 808 | print 'minHei is setting to %.2f'%(self.dataOut.heightList[0]) |
|
|
650 | 809 | minHei = self.dataOut.heightList[0] |
|
|
651 | 810 | |
|
|
652 | 811 | if (maxHei > self.dataOut.heightList[-1]) or (maxHei < minHei): |
|
|
653 | 812 | print 'maxHei: %.2f is out of the heights range'%(maxHei) |
|
|
654 | 813 | print 'maxHei is setting to %.2f'%(self.dataOut.heightList[-1]) |
|
|
655 | 814 | maxHei = self.dataOut.heightList[-1] |
|
|
656 | 815 | |
|
|
657 | 816 | # validacion de velocidades |
|
|
658 | 817 | velrange = self.dataOut.getVelRange(1) |
|
|
659 | 818 | |
|
|
660 | 819 | if minVel == None: |
|
|
661 | 820 | minVel = velrange[0] |
|
|
662 | 821 | |
|
|
663 | 822 | if maxVel == None: |
|
|
664 | 823 | maxVel = velrange[-1] |
|
|
665 | 824 | |
|
|
666 | 825 | if (minVel < velrange[0]) or (minVel > maxVel): |
|
|
667 | 826 | print 'minVel: %.2f is out of the velocity range'%(minVel) |
|
|
668 | 827 | print 'minVel is setting to %.2f'%(velrange[0]) |
|
|
669 | 828 | minVel = velrange[0] |
|
|
670 | 829 | |
|
|
671 | 830 | if (maxVel > velrange[-1]) or (maxVel < minVel): |
|
|
672 | 831 | print 'maxVel: %.2f is out of the velocity range'%(maxVel) |
|
|
673 | 832 | print 'maxVel is setting to %.2f'%(velrange[-1]) |
|
|
674 | 833 | maxVel = velrange[-1] |
|
|
675 | 834 | |
|
|
676 | 835 | # seleccion de indices para rango |
|
|
677 | 836 | minIndex = 0 |
|
|
678 | 837 | maxIndex = 0 |
|
|
679 | 838 | heights = self.dataOut.heightList |
|
|
680 | 839 | |
|
|
681 | 840 | inda = numpy.where(heights >= minHei) |
|
|
682 | 841 | indb = numpy.where(heights <= maxHei) |
|
|
683 | 842 | |
|
|
684 | 843 | try: |
|
|
685 | 844 | minIndex = inda[0][0] |
|
|
686 | 845 | except: |
|
|
687 | 846 | minIndex = 0 |
|
|
688 | 847 | |
|
|
689 | 848 | try: |
|
|
690 | 849 | maxIndex = indb[0][-1] |
|
|
691 | 850 | except: |
|
|
692 | 851 | maxIndex = len(heights) |
|
|
693 | 852 | |
|
|
694 | 853 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
695 | 854 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
696 | 855 | |
|
|
697 | 856 | if (maxIndex >= self.dataOut.nHeights): |
|
|
698 | 857 | maxIndex = self.dataOut.nHeights-1 |
|
|
699 | 858 | |
|
|
700 | 859 | # seleccion de indices para velocidades |
|
|
701 | 860 | indminvel = numpy.where(velrange >= minVel) |
|
|
702 | 861 | indmaxvel = numpy.where(velrange <= maxVel) |
|
|
703 | 862 | try: |
|
|
704 | 863 | minIndexVel = indminvel[0][0] |
|
|
705 | 864 | except: |
|
|
706 | 865 | minIndexVel = 0 |
|
|
707 | 866 | |
|
|
708 | 867 | try: |
|
|
709 | 868 | maxIndexVel = indmaxvel[0][-1] |
|
|
710 | 869 | except: |
|
|
711 | 870 | maxIndexVel = len(velrange) |
|
|
712 | 871 | |
|
|
713 | 872 | #seleccion del espectro |
|
|
714 | 873 | data_spc = self.dataOut.data_spc[:,minIndexVel:maxIndexVel+1,minIndex:maxIndex+1] |
|
|
715 | 874 | #estimacion de ruido |
|
|
716 | 875 | noise = numpy.zeros(self.dataOut.nChannels) |
|
|
717 | 876 | |
|
|
718 | 877 | for channel in range(self.dataOut.nChannels): |
|
|
719 | 878 | daux = data_spc[channel,:,:] |
|
|
720 | 879 | noise[channel] = hildebrand_sekhon(daux, self.dataOut.nIncohInt) |
|
|
721 | 880 | |
|
|
722 | 881 | self.dataOut.noise_estimation = noise.copy() |
|
|
723 | 882 | |
|
|
724 | 883 | return 1 |
|
|
725 | 884 | |
|
|
726 | 885 | class IncohInt(Operation): |
|
|
727 | 886 | |
|
|
728 | 887 | |
|
|
729 | 888 | __profIndex = 0 |
|
|
730 | 889 | __withOverapping = False |
|
|
731 | 890 | |
|
|
732 | 891 | __byTime = False |
|
|
733 | 892 | __initime = None |
|
|
734 | 893 | __lastdatatime = None |
|
|
735 | 894 | __integrationtime = None |
|
|
736 | 895 | |
|
|
737 | 896 | __buffer_spc = None |
|
|
738 | 897 | __buffer_cspc = None |
|
|
739 | 898 | __buffer_dc = None |
|
|
740 | 899 | |
|
|
741 | 900 | __dataReady = False |
|
|
742 | 901 | |
|
|
743 | 902 | __timeInterval = None |
|
|
744 | 903 | |
|
|
745 | 904 | n = None |
|
|
746 | 905 | |
|
|
747 | 906 | |
|
|
748 | 907 | |
|
|
749 | 908 | def __init__(self, **kwargs): |
|
|
750 | 909 | |
|
|
751 | 910 | Operation.__init__(self, **kwargs) |
|
|
752 | 911 | # self.isConfig = False |
|
|
753 | 912 | |
|
|
754 | 913 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
|
755 | 914 | """ |
|
|
756 | 915 | Set the parameters of the integration class. |
|
|
757 | 916 | |
|
|
758 | 917 | Inputs: |
|
|
759 | 918 | |
|
|
760 | 919 | n : Number of coherent integrations |
|
|
761 | 920 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|
762 | 921 | overlapping : |
|
|
763 | 922 | |
|
|
764 | 923 | """ |
|
|
765 | 924 | |
|
|
766 | 925 | self.__initime = None |
|
|
767 | 926 | self.__lastdatatime = 0 |
|
|
768 | 927 | |
|
|
769 | 928 | self.__buffer_spc = 0 |
|
|
770 | 929 | self.__buffer_cspc = 0 |
|
|
771 | 930 | self.__buffer_dc = 0 |
|
|
772 | 931 | |
|
|
773 | 932 | self.__profIndex = 0 |
|
|
774 | 933 | self.__dataReady = False |
|
|
775 | 934 | self.__byTime = False |
|
|
776 | 935 | |
|
|
777 | 936 | if n is None and timeInterval is None: |
|
|
778 | 937 | raise ValueError, "n or timeInterval should be specified ..." |
|
|
779 | 938 | |
|
|
780 | 939 | if n is not None: |
|
|
781 | 940 | self.n = int(n) |
|
|
782 | 941 | else: |
|
|
783 | 942 | self.__integrationtime = int(timeInterval) #if (type(timeInterval)!=integer) -> change this line |
|
|
784 | 943 | self.n = None |
|
|
785 | 944 | self.__byTime = True |
|
|
786 | 945 | |
|
|
787 | 946 | def putData(self, data_spc, data_cspc, data_dc): |
|
|
788 | 947 | |
|
|
789 | 948 | """ |
|
|
790 | 949 | Add a profile to the __buffer_spc and increase in one the __profileIndex |
|
|
791 | 950 | |
|
|
792 | 951 | """ |
|
|
793 | 952 | |
|
|
794 | 953 | self.__buffer_spc += data_spc |
|
|
795 | 954 | |
|
|
796 | 955 | if data_cspc is None: |
|
|
797 | 956 | self.__buffer_cspc = None |
|
|
798 | 957 | else: |
|
|
799 | 958 | self.__buffer_cspc += data_cspc |
|
|
800 | 959 | |
|
|
801 | 960 | if data_dc is None: |
|
|
802 | 961 | self.__buffer_dc = None |
|
|
803 | 962 | else: |
|
|
804 | 963 | self.__buffer_dc += data_dc |
|
|
805 | 964 | |
|
|
806 | 965 | self.__profIndex += 1 |
|
|
807 | 966 | |
|
|
808 | 967 | return |
|
|
809 | 968 | |
|
|
810 | 969 | def pushData(self): |
|
|
811 | 970 | """ |
|
|
812 | 971 | Return the sum of the last profiles and the profiles used in the sum. |
|
|
813 | 972 | |
|
|
814 | 973 | Affected: |
|
|
815 | 974 | |
|
|
816 | 975 | self.__profileIndex |
|
|
817 | 976 | |
|
|
818 | 977 | """ |
|
|
819 | 978 | |
|
|
820 | 979 | data_spc = self.__buffer_spc |
|
|
821 | 980 | data_cspc = self.__buffer_cspc |
|
|
822 | 981 | data_dc = self.__buffer_dc |
|
|
823 | 982 | n = self.__profIndex |
|
|
824 | 983 | |
|
|
825 | 984 | self.__buffer_spc = 0 |
|
|
826 | 985 | self.__buffer_cspc = 0 |
|
|
827 | 986 | self.__buffer_dc = 0 |
|
|
828 | 987 | self.__profIndex = 0 |
|
|
829 | 988 | |
|
|
830 | 989 | return data_spc, data_cspc, data_dc, n |
|
|
831 | 990 | |
|
|
832 | 991 | def byProfiles(self, *args): |
|
|
833 | 992 | |
|
|
834 | 993 | self.__dataReady = False |
|
|
835 | 994 | avgdata_spc = None |
|
|
836 | 995 | avgdata_cspc = None |
|
|
837 | 996 | avgdata_dc = None |
|
|
838 | 997 | |
|
|
839 | 998 | self.putData(*args) |
|
|
840 | 999 | |
|
|
841 | 1000 | if self.__profIndex == self.n: |
|
|
842 | 1001 | |
|
|
843 | 1002 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
|
844 | 1003 | self.n = n |
|
|
845 | 1004 | self.__dataReady = True |
|
|
846 | 1005 | |
|
|
847 | 1006 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
|
848 | 1007 | |
|
|
849 | 1008 | def byTime(self, datatime, *args): |
|
|
850 | 1009 | |
|
|
851 | 1010 | self.__dataReady = False |
|
|
852 | 1011 | avgdata_spc = None |
|
|
853 | 1012 | avgdata_cspc = None |
|
|
854 | 1013 | avgdata_dc = None |
|
|
855 | 1014 | |
|
|
856 | 1015 | self.putData(*args) |
|
|
857 | 1016 | |
|
|
858 | 1017 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|
859 | 1018 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
|
860 | 1019 | self.n = n |
|
|
861 | 1020 | self.__dataReady = True |
|
|
862 | 1021 | |
|
|
863 | 1022 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
|
864 | 1023 | |
|
|
865 | 1024 | def integrate(self, datatime, *args): |
|
|
866 | 1025 | |
|
|
867 | 1026 | if self.__profIndex == 0: |
|
|
868 | 1027 | self.__initime = datatime |
|
|
869 | 1028 | |
|
|
870 | 1029 | if self.__byTime: |
|
|
871 | 1030 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byTime(datatime, *args) |
|
|
872 | 1031 | else: |
|
|
873 | 1032 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byProfiles(*args) |
|
|
874 | 1033 | |
|
|
875 | 1034 | if not self.__dataReady: |
|
|
876 | 1035 | return None, None, None, None |
|
|
877 | 1036 | |
|
|
878 | 1037 | return self.__initime, avgdata_spc, avgdata_cspc, avgdata_dc |
|
|
879 | 1038 | |
|
|
880 | 1039 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False): |
|
|
881 | 1040 | |
|
|
882 | 1041 | if n==1: |
|
|
883 | 1042 | return |
|
|
884 | 1043 | |
|
|
885 | 1044 | dataOut.flagNoData = True |
|
|
886 | 1045 | |
|
|
887 | 1046 | if not self.isConfig: |
|
|
888 | 1047 | self.setup(n, timeInterval, overlapping) |
|
|
889 | 1048 | self.isConfig = True |
|
|
890 | 1049 | |
|
|
891 | 1050 | avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc = self.integrate(dataOut.utctime, |
|
|
892 | 1051 | dataOut.data_spc, |
|
|
893 | 1052 | dataOut.data_cspc, |
|
|
894 | 1053 | dataOut.data_dc) |
|
|
895 | 1054 | |
|
|
896 | 1055 | if self.__dataReady: |
|
|
897 | 1056 | |
|
|
898 | 1057 | dataOut.data_spc = avgdata_spc |
|
|
899 | 1058 | dataOut.data_cspc = avgdata_cspc |
|
|
900 | 1059 | dataOut.data_dc = avgdata_dc |
|
|
901 | 1060 | |
|
|
902 | 1061 | dataOut.nIncohInt *= self.n |
|
|
903 | 1062 | dataOut.utctime = avgdatatime |
|
|
904 | 1063 | dataOut.flagNoData = False |
|
|
905 | 1064 | |
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