| @@ -1,648 +1,648 | |||
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1 | 1 | ''' |
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2 | 2 | Main routines to create a Signal Chain project |
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3 | 3 | ''' |
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4 | 4 | |
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5 | 5 | import re |
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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 time |
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11 | 11 | from multiprocessing import Process, Queue |
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12 | 12 | from threading import Thread |
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13 | 13 | from xml.etree.ElementTree import ElementTree, Element, SubElement |
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14 | 14 | |
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15 | 15 | from schainpy.admin import Alarm, SchainWarning |
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16 | 16 | from schainpy.model import * |
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17 | 17 | from schainpy.utils import log |
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18 | 18 | |
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19 | 19 | |
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20 | 20 | class ConfBase(): |
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21 | 21 | |
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22 | 22 | def __init__(self): |
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23 | 23 | |
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24 | 24 | self.id = '0' |
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25 | 25 | self.name = None |
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26 | 26 | self.priority = None |
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27 | 27 | self.parameters = {} |
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28 | 28 | self.object = None |
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29 | 29 | self.operations = [] |
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30 | 30 | |
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31 | 31 | def getId(self): |
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32 | 32 | |
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33 | 33 | return self.id |
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34 | 34 | |
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35 | 35 | def getNewId(self): |
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36 | 36 | |
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37 | 37 | return int(self.id) * 10 + len(self.operations) + 1 |
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38 | 38 | |
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39 | 39 | def updateId(self, new_id): |
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40 | 40 | |
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41 | 41 | self.id = str(new_id) |
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42 | 42 | |
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43 | 43 | n = 1 |
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44 | 44 | for conf in self.operations: |
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45 | 45 | conf_id = str(int(new_id) * 10 + n) |
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46 | 46 | conf.updateId(conf_id) |
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47 | 47 | n += 1 |
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48 | 48 | |
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49 | 49 | def getKwargs(self): |
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50 | 50 | |
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51 | 51 | params = {} |
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52 | 52 | |
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53 | 53 | for key, value in self.parameters.items(): |
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54 | 54 | if value not in (None, '', ' '): |
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55 | 55 | params[key] = value |
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56 | 56 | |
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57 | 57 | return params |
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58 | 58 | |
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59 | 59 | def update(self, **kwargs): |
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60 | 60 | |
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61 | 61 | for key, value in kwargs.items(): |
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62 | 62 | self.addParameter(name=key, value=value) |
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63 | 63 | |
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64 | 64 | def addParameter(self, name, value, format=None): |
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65 | 65 | ''' |
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66 | 66 | ''' |
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67 | 67 | |
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68 | 68 | if isinstance(value, str) and re.search(r'(\d+/\d+/\d+)', value): |
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69 | 69 | self.parameters[name] = datetime.date(*[int(x) for x in value.split('/')]) |
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70 | 70 | elif isinstance(value, str) and re.search(r'(\d+:\d+:\d+)', value): |
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71 | 71 | self.parameters[name] = datetime.time(*[int(x) for x in value.split(':')]) |
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72 | 72 | else: |
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73 | 73 | try: |
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74 | 74 | self.parameters[name] = ast.literal_eval(value) |
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75 | 75 | except: |
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76 | 76 | if isinstance(value, str) and ',' in value: |
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77 | 77 | self.parameters[name] = value.split(',') |
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78 | 78 | else: |
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79 | 79 | self.parameters[name] = value |
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80 | 80 | |
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81 | 81 | def getParameters(self): |
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82 | 82 | |
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83 | 83 | params = {} |
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84 | 84 | for key, value in self.parameters.items(): |
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85 | 85 | s = type(value).__name__ |
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86 | 86 | if s == 'date': |
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87 | 87 | params[key] = value.strftime('%Y/%m/%d') |
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88 | 88 | elif s == 'time': |
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89 | 89 | params[key] = value.strftime('%H:%M:%S') |
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90 | 90 | else: |
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91 | 91 | params[key] = str(value) |
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92 | 92 | |
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93 | 93 | return params |
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94 | 94 | |
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95 | 95 | def makeXml(self, element): |
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96 | 96 | |
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97 | 97 | xml = SubElement(element, self.ELEMENTNAME) |
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98 | 98 | for label in self.xml_labels: |
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99 | 99 | xml.set(label, str(getattr(self, label))) |
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100 | 100 | |
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101 | 101 | for key, value in self.getParameters().items(): |
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102 | 102 | xml_param = SubElement(xml, 'Parameter') |
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103 | 103 | xml_param.set('name', key) |
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104 | 104 | xml_param.set('value', value) |
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105 | 105 | |
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106 | 106 | for conf in self.operations: |
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107 | 107 | conf.makeXml(xml) |
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108 | 108 | |
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109 | 109 | def __str__(self): |
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110 | 110 | |
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111 | 111 | if self.ELEMENTNAME == 'Operation': |
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112 | 112 | s = ' {}[id={}]\n'.format(self.name, self.id) |
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113 | 113 | else: |
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114 | 114 | s = '{}[id={}, inputId={}]\n'.format(self.name, self.id, self.inputId) |
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115 | 115 | |
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116 | 116 | for key, value in self.parameters.items(): |
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117 | 117 | if self.ELEMENTNAME == 'Operation': |
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118 | 118 | s += ' {}: {}\n'.format(key, value) |
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119 | 119 | else: |
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120 | 120 | s += ' {}: {}\n'.format(key, value) |
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121 | 121 | |
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122 | 122 | for conf in self.operations: |
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123 | 123 | s += str(conf) |
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124 | 124 | |
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125 | 125 | return s |
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126 | 126 | |
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127 | 127 | class OperationConf(ConfBase): |
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128 | 128 | |
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129 | 129 | ELEMENTNAME = 'Operation' |
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130 | 130 | xml_labels = ['id', 'name'] |
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131 | 131 | |
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132 | 132 | def setup(self, id, name, priority, project_id, err_queue): |
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133 | 133 | |
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134 | 134 | self.id = str(id) |
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135 | 135 | self.project_id = project_id |
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136 | 136 | self.name = name |
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137 | 137 | self.type = 'other' |
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138 | 138 | self.err_queue = err_queue |
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139 | 139 | |
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140 | 140 | def readXml(self, element, project_id, err_queue): |
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141 | 141 | |
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142 | 142 | self.id = element.get('id') |
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143 | 143 | self.name = element.get('name') |
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144 | 144 | self.type = 'other' |
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145 | 145 | self.project_id = str(project_id) |
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146 | 146 | self.err_queue = err_queue |
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147 | 147 | |
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148 | 148 | for elm in element.iter('Parameter'): |
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149 | 149 | self.addParameter(elm.get('name'), elm.get('value')) |
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150 | 150 | |
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151 | 151 | def createObject(self): |
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152 | 152 | |
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153 | 153 | className = eval(self.name) |
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154 | 154 | |
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155 | if 'Plot' in self.name or 'Writer' in self.name or 'Send' in self.name: | |
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155 | if 'Plot' in self.name or 'Writer' in self.name or 'Send' in self.name or 'print' in self.name: | |
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156 | 156 | kwargs = self.getKwargs() |
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157 | 157 | opObj = className(self.id, self.id, self.project_id, self.err_queue, **kwargs) |
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158 | 158 | opObj.start() |
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159 | 159 | self.type = 'external' |
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160 | 160 | else: |
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161 | 161 | opObj = className() |
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162 | 162 | |
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163 | 163 | self.object = opObj |
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164 | 164 | return opObj |
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165 | 165 | |
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166 | 166 | class ProcUnitConf(ConfBase): |
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167 | 167 | |
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168 | 168 | ELEMENTNAME = 'ProcUnit' |
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169 | 169 | xml_labels = ['id', 'inputId', 'name'] |
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170 | 170 | |
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171 | 171 | def setup(self, project_id, id, name, datatype, inputId, err_queue): |
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172 | 172 | ''' |
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173 | 173 | ''' |
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174 | 174 | |
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175 | 175 | if datatype == None and name == None: |
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176 | 176 | raise ValueError('datatype or name should be defined') |
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177 | 177 | |
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178 | 178 | if name == None: |
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179 | 179 | if 'Proc' in datatype: |
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180 | 180 | name = datatype |
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181 | 181 | else: |
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182 | 182 | name = '%sProc' % (datatype) |
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183 | 183 | |
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184 | 184 | if datatype == None: |
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185 | 185 | datatype = name.replace('Proc', '') |
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186 | 186 | |
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187 | 187 | self.id = str(id) |
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188 | 188 | self.project_id = project_id |
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189 | 189 | self.name = name |
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190 | 190 | self.datatype = datatype |
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191 | 191 | self.inputId = inputId |
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192 | 192 | self.err_queue = err_queue |
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193 | 193 | self.operations = [] |
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194 | 194 | self.parameters = {} |
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195 | 195 | |
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196 | 196 | def removeOperation(self, id): |
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197 | 197 | |
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198 | 198 | i = [1 if x.id==id else 0 for x in self.operations] |
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199 | 199 | self.operations.pop(i.index(1)) |
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200 | 200 | |
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201 | 201 | def getOperation(self, id): |
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202 | 202 | |
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203 | 203 | for conf in self.operations: |
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204 | 204 | if conf.id == id: |
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205 | 205 | return conf |
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206 | 206 | |
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207 | 207 | def addOperation(self, name, optype='self'): |
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208 | 208 | ''' |
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209 | 209 | ''' |
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210 | 210 | |
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211 | 211 | id = self.getNewId() |
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212 | 212 | conf = OperationConf() |
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213 | 213 | conf.setup(id, name=name, priority='0', project_id=self.project_id, err_queue=self.err_queue) |
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214 | 214 | self.operations.append(conf) |
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215 | 215 | |
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216 | 216 | return conf |
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217 | 217 | |
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218 | 218 | def readXml(self, element, project_id, err_queue): |
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219 | 219 | |
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220 | 220 | self.id = element.get('id') |
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221 | 221 | self.name = element.get('name') |
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222 | 222 | self.inputId = None if element.get('inputId') == 'None' else element.get('inputId') |
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223 | 223 | self.datatype = element.get('datatype', self.name.replace(self.ELEMENTNAME.replace('Unit', ''), '')) |
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224 | 224 | self.project_id = str(project_id) |
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225 | 225 | self.err_queue = err_queue |
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226 | 226 | self.operations = [] |
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227 | 227 | self.parameters = {} |
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228 | 228 | |
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229 | 229 | for elm in element: |
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230 | 230 | if elm.tag == 'Parameter': |
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231 | 231 | self.addParameter(elm.get('name'), elm.get('value')) |
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232 | 232 | elif elm.tag == 'Operation': |
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233 | 233 | conf = OperationConf() |
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234 | 234 | conf.readXml(elm, project_id, err_queue) |
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235 | 235 | self.operations.append(conf) |
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236 | 236 | |
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237 | 237 | def createObjects(self): |
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238 | 238 | ''' |
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239 | 239 | Instancia de unidades de procesamiento. |
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240 | 240 | ''' |
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241 | 241 | |
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242 | 242 | className = eval(self.name) |
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243 | 243 | kwargs = self.getKwargs() |
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244 | 244 | procUnitObj = className() |
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245 | 245 | procUnitObj.name = self.name |
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246 | 246 | log.success('creating process...', self.name) |
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247 | 247 | |
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248 | 248 | for conf in self.operations: |
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249 | 249 | |
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250 | 250 | opObj = conf.createObject() |
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251 | 251 | |
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252 | 252 | log.success('adding operation: {}, type:{}'.format( |
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253 | 253 | conf.name, |
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254 | 254 | conf.type), self.name) |
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255 | 255 | |
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256 | 256 | procUnitObj.addOperation(conf, opObj) |
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257 | 257 | |
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258 | 258 | self.object = procUnitObj |
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259 | 259 | |
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260 | 260 | def run(self): |
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261 | 261 | ''' |
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262 | 262 | ''' |
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263 | 263 | |
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264 | 264 | return self.object.call(**self.getKwargs()) |
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265 | 265 | |
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266 | 266 | |
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267 | 267 | class ReadUnitConf(ProcUnitConf): |
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268 | 268 | |
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269 | 269 | ELEMENTNAME = 'ReadUnit' |
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270 | 270 | |
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271 | 271 | def __init__(self): |
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272 | 272 | |
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273 | 273 | self.id = None |
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274 | 274 | self.datatype = None |
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275 | 275 | self.name = None |
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276 | 276 | self.inputId = None |
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277 | 277 | self.operations = [] |
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278 | 278 | self.parameters = {} |
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279 | 279 | |
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280 | 280 | def setup(self, project_id, id, name, datatype, err_queue, path='', startDate='', endDate='', |
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281 | 281 | startTime='', endTime='', server=None, **kwargs): |
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282 | 282 | |
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283 | 283 | if datatype == None and name == None: |
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284 | 284 | raise ValueError('datatype or name should be defined') |
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285 | 285 | if name == None: |
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286 | 286 | if 'Reader' in datatype: |
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287 | 287 | name = datatype |
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288 | 288 | datatype = name.replace('Reader','') |
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289 | 289 | else: |
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290 | 290 | name = '{}Reader'.format(datatype) |
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291 | 291 | if datatype == None: |
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292 | 292 | if 'Reader' in name: |
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293 | 293 | datatype = name.replace('Reader','') |
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294 | 294 | else: |
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295 | 295 | datatype = name |
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296 | 296 | name = '{}Reader'.format(name) |
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297 | 297 | |
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298 | 298 | self.id = id |
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299 | 299 | self.project_id = project_id |
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300 | 300 | self.name = name |
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301 | 301 | self.datatype = datatype |
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302 | 302 | self.err_queue = err_queue |
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303 | 303 | |
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304 | 304 | self.addParameter(name='path', value=path) |
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305 | 305 | self.addParameter(name='startDate', value=startDate) |
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306 | 306 | self.addParameter(name='endDate', value=endDate) |
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307 | 307 | self.addParameter(name='startTime', value=startTime) |
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308 | 308 | self.addParameter(name='endTime', value=endTime) |
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309 | 309 | |
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310 | 310 | for key, value in kwargs.items(): |
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311 | 311 | self.addParameter(name=key, value=value) |
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312 | 312 | |
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313 | 313 | |
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314 | 314 | class Project(Process): |
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315 | 315 | |
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316 | 316 | ELEMENTNAME = 'Project' |
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317 | 317 | |
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318 | 318 | def __init__(self): |
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319 | 319 | |
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320 | 320 | Process.__init__(self) |
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321 | 321 | self.id = None |
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322 | 322 | self.filename = None |
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323 | 323 | self.description = None |
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324 | 324 | self.email = None |
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325 | 325 | self.alarm = [] |
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326 | 326 | self.configurations = {} |
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327 | 327 | # self.err_queue = Queue() |
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328 | 328 | self.err_queue = None |
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329 | 329 | self.started = False |
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330 | 330 | |
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331 | 331 | def getNewId(self): |
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332 | 332 | |
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333 | 333 | idList = list(self.configurations.keys()) |
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334 | 334 | id = int(self.id) * 10 |
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335 | 335 | |
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336 | 336 | while True: |
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337 | 337 | id += 1 |
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338 | 338 | |
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339 | 339 | if str(id) in idList: |
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340 | 340 | continue |
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341 | 341 | |
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342 | 342 | break |
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343 | 343 | |
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344 | 344 | return str(id) |
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345 | 345 | |
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346 | 346 | def updateId(self, new_id): |
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347 | 347 | |
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348 | 348 | self.id = str(new_id) |
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349 | 349 | |
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350 | 350 | keyList = list(self.configurations.keys()) |
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351 | 351 | keyList.sort() |
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352 | 352 | |
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353 | 353 | n = 1 |
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354 | 354 | new_confs = {} |
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355 | 355 | |
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356 | 356 | for procKey in keyList: |
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357 | 357 | |
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358 | 358 | conf = self.configurations[procKey] |
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359 | 359 | idProcUnit = str(int(self.id) * 10 + n) |
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360 | 360 | conf.updateId(idProcUnit) |
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361 | 361 | new_confs[idProcUnit] = conf |
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362 | 362 | n += 1 |
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363 | 363 | |
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364 | 364 | self.configurations = new_confs |
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365 | 365 | |
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366 | 366 | def setup(self, id=1, name='', description='', email=None, alarm=[]): |
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367 | 367 | |
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368 | 368 | self.id = str(id) |
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369 | 369 | self.description = description |
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370 | 370 | self.email = email |
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371 | 371 | self.alarm = alarm |
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372 | 372 | if name: |
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373 | 373 | self.name = '{} ({})'.format(Process.__name__, name) |
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374 | 374 | |
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375 | 375 | def update(self, **kwargs): |
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376 | 376 | |
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377 | 377 | for key, value in kwargs.items(): |
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378 | 378 | setattr(self, key, value) |
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379 | 379 | |
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380 | 380 | def clone(self): |
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381 | 381 | |
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382 | 382 | p = Project() |
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383 | 383 | p.id = self.id |
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384 | 384 | p.name = self.name |
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385 | 385 | p.description = self.description |
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386 | 386 | p.configurations = self.configurations.copy() |
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387 | 387 | |
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388 | 388 | return p |
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389 | 389 | |
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390 | 390 | def addReadUnit(self, id=None, datatype=None, name=None, **kwargs): |
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391 | 391 | |
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392 | 392 | ''' |
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393 | 393 | ''' |
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394 | 394 | |
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395 | 395 | if id is None: |
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396 | 396 | idReadUnit = self.getNewId() |
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397 | 397 | else: |
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398 | 398 | idReadUnit = str(id) |
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399 | 399 | |
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400 | 400 | conf = ReadUnitConf() |
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401 | 401 | conf.setup(self.id, idReadUnit, name, datatype, self.err_queue, **kwargs) |
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402 | 402 | self.configurations[conf.id] = conf |
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403 | 403 | |
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404 | 404 | return conf |
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405 | 405 | |
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406 | 406 | def addProcUnit(self, id=None, inputId='0', datatype=None, name=None): |
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407 | 407 | |
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408 | 408 | ''' |
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409 | 409 | ''' |
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410 | 410 | |
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411 | 411 | if id is None: |
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412 | 412 | idProcUnit = self.getNewId() |
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413 | 413 | else: |
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414 | 414 | idProcUnit = id |
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415 | 415 | |
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416 | 416 | conf = ProcUnitConf() |
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417 | 417 | conf.setup(self.id, idProcUnit, name, datatype, inputId, self.err_queue) |
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418 | 418 | self.configurations[conf.id] = conf |
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419 | 419 | |
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420 | 420 | return conf |
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421 | 421 | |
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422 | 422 | def removeProcUnit(self, id): |
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423 | 423 | |
|
|
424 | 424 | if id in self.configurations: |
|
|
425 | 425 | self.configurations.pop(id) |
|
|
426 | 426 | |
|
|
427 | 427 | def getReadUnit(self): |
|
|
428 | 428 | |
|
|
429 | 429 | for obj in list(self.configurations.values()): |
|
|
430 | 430 | if obj.ELEMENTNAME == 'ReadUnit': |
|
|
431 | 431 | return obj |
|
|
432 | 432 | |
|
|
433 | 433 | return None |
|
|
434 | 434 | |
|
|
435 | 435 | def getProcUnit(self, id): |
|
|
436 | 436 | |
|
|
437 | 437 | return self.configurations[id] |
|
|
438 | 438 | |
|
|
439 | 439 | def getUnits(self): |
|
|
440 | 440 | |
|
|
441 | 441 | keys = list(self.configurations) |
|
|
442 | 442 | keys.sort() |
|
|
443 | 443 | |
|
|
444 | 444 | for key in keys: |
|
|
445 | 445 | yield self.configurations[key] |
|
|
446 | 446 | |
|
|
447 | 447 | def updateUnit(self, id, **kwargs): |
|
|
448 | 448 | |
|
|
449 | 449 | conf = self.configurations[id].update(**kwargs) |
|
|
450 | 450 | |
|
|
451 | 451 | def makeXml(self): |
|
|
452 | 452 | |
|
|
453 | 453 | xml = Element('Project') |
|
|
454 | 454 | xml.set('id', str(self.id)) |
|
|
455 | 455 | xml.set('name', self.name) |
|
|
456 | 456 | xml.set('description', self.description) |
|
|
457 | 457 | |
|
|
458 | 458 | for conf in self.configurations.values(): |
|
|
459 | 459 | conf.makeXml(xml) |
|
|
460 | 460 | |
|
|
461 | 461 | self.xml = xml |
|
|
462 | 462 | |
|
|
463 | 463 | def writeXml(self, filename=None): |
|
|
464 | 464 | |
|
|
465 | 465 | if filename == None: |
|
|
466 | 466 | if self.filename: |
|
|
467 | 467 | filename = self.filename |
|
|
468 | 468 | else: |
|
|
469 | 469 | filename = 'schain.xml' |
|
|
470 | 470 | |
|
|
471 | 471 | if not filename: |
|
|
472 | 472 | print('filename has not been defined. Use setFilename(filename) for do it.') |
|
|
473 | 473 | return 0 |
|
|
474 | 474 | |
|
|
475 | 475 | abs_file = os.path.abspath(filename) |
|
|
476 | 476 | |
|
|
477 | 477 | if not os.access(os.path.dirname(abs_file), os.W_OK): |
|
|
478 | 478 | print('No write permission on %s' % os.path.dirname(abs_file)) |
|
|
479 | 479 | return 0 |
|
|
480 | 480 | |
|
|
481 | 481 | if os.path.isfile(abs_file) and not(os.access(abs_file, os.W_OK)): |
|
|
482 | 482 | print('File %s already exists and it could not be overwriten' % abs_file) |
|
|
483 | 483 | return 0 |
|
|
484 | 484 | |
|
|
485 | 485 | self.makeXml() |
|
|
486 | 486 | |
|
|
487 | 487 | ElementTree(self.xml).write(abs_file, method='xml') |
|
|
488 | 488 | |
|
|
489 | 489 | self.filename = abs_file |
|
|
490 | 490 | |
|
|
491 | 491 | return 1 |
|
|
492 | 492 | |
|
|
493 | 493 | def readXml(self, filename): |
|
|
494 | 494 | |
|
|
495 | 495 | abs_file = os.path.abspath(filename) |
|
|
496 | 496 | |
|
|
497 | 497 | self.configurations = {} |
|
|
498 | 498 | |
|
|
499 | 499 | try: |
|
|
500 | 500 | self.xml = ElementTree().parse(abs_file) |
|
|
501 | 501 | except: |
|
|
502 | 502 | log.error('Error reading %s, verify file format' % filename) |
|
|
503 | 503 | return 0 |
|
|
504 | 504 | |
|
|
505 | 505 | self.id = self.xml.get('id') |
|
|
506 | 506 | self.name = self.xml.get('name') |
|
|
507 | 507 | self.description = self.xml.get('description') |
|
|
508 | 508 | |
|
|
509 | 509 | for element in self.xml: |
|
|
510 | 510 | if element.tag == 'ReadUnit': |
|
|
511 | 511 | conf = ReadUnitConf() |
|
|
512 | 512 | conf.readXml(element, self.id, self.err_queue) |
|
|
513 | 513 | self.configurations[conf.id] = conf |
|
|
514 | 514 | elif element.tag == 'ProcUnit': |
|
|
515 | 515 | conf = ProcUnitConf() |
|
|
516 | 516 | input_proc = self.configurations[element.get('inputId')] |
|
|
517 | 517 | conf.readXml(element, self.id, self.err_queue) |
|
|
518 | 518 | self.configurations[conf.id] = conf |
|
|
519 | 519 | |
|
|
520 | 520 | self.filename = abs_file |
|
|
521 | 521 | |
|
|
522 | 522 | return 1 |
|
|
523 | 523 | |
|
|
524 | 524 | def __str__(self): |
|
|
525 | 525 | |
|
|
526 | 526 | text = '\nProject[id=%s, name=%s, description=%s]\n\n' % ( |
|
|
527 | 527 | self.id, |
|
|
528 | 528 | self.name, |
|
|
529 | 529 | self.description, |
|
|
530 | 530 | ) |
|
|
531 | 531 | |
|
|
532 | 532 | for conf in self.configurations.values(): |
|
|
533 | 533 | text += '{}'.format(conf) |
|
|
534 | 534 | |
|
|
535 | 535 | return text |
|
|
536 | 536 | |
|
|
537 | 537 | def createObjects(self): |
|
|
538 | 538 | |
|
|
539 | 539 | keys = list(self.configurations.keys()) |
|
|
540 | 540 | keys.sort() |
|
|
541 | 541 | for key in keys: |
|
|
542 | 542 | conf = self.configurations[key] |
|
|
543 | 543 | conf.createObjects() |
|
|
544 | 544 | if conf.inputId is not None: |
|
|
545 | 545 | conf.object.setInput(self.configurations[conf.inputId].object) |
|
|
546 | 546 | |
|
|
547 | 547 | def monitor(self): |
|
|
548 | 548 | |
|
|
549 | 549 | t = Thread(target=self._monitor, args=(self.err_queue, self.ctx)) |
|
|
550 | 550 | t.start() |
|
|
551 | 551 | |
|
|
552 | 552 | def _monitor(self, queue, ctx): |
|
|
553 | 553 | |
|
|
554 | 554 | import socket |
|
|
555 | 555 | |
|
|
556 | 556 | procs = 0 |
|
|
557 | 557 | err_msg = '' |
|
|
558 | 558 | |
|
|
559 | 559 | while True: |
|
|
560 | 560 | msg = queue.get() |
|
|
561 | 561 | if '#_start_#' in msg: |
|
|
562 | 562 | procs += 1 |
|
|
563 | 563 | elif '#_end_#' in msg: |
|
|
564 | 564 | procs -=1 |
|
|
565 | 565 | else: |
|
|
566 | 566 | err_msg = msg |
|
|
567 | 567 | |
|
|
568 | 568 | if procs == 0 or 'Traceback' in err_msg: |
|
|
569 | 569 | break |
|
|
570 | 570 | time.sleep(0.1) |
|
|
571 | 571 | |
|
|
572 | 572 | if '|' in err_msg: |
|
|
573 | 573 | name, err = err_msg.split('|') |
|
|
574 | 574 | if 'SchainWarning' in err: |
|
|
575 | 575 | log.warning(err.split('SchainWarning:')[-1].split('\n')[0].strip(), name) |
|
|
576 | 576 | elif 'SchainError' in err: |
|
|
577 | 577 | log.error(err.split('SchainError:')[-1].split('\n')[0].strip(), name) |
|
|
578 | 578 | else: |
|
|
579 | 579 | log.error(err, name) |
|
|
580 | 580 | else: |
|
|
581 | 581 | name, err = self.name, err_msg |
|
|
582 | 582 | |
|
|
583 | 583 | time.sleep(1) |
|
|
584 | 584 | |
|
|
585 | 585 | ctx.term() |
|
|
586 | 586 | |
|
|
587 | 587 | message = ''.join(err) |
|
|
588 | 588 | |
|
|
589 | 589 | if err_msg: |
|
|
590 | 590 | subject = 'SChain v%s: Error running %s\n' % ( |
|
|
591 | 591 | schainpy.__version__, self.name) |
|
|
592 | 592 | |
|
|
593 | 593 | subtitle = 'Hostname: %s\n' % socket.gethostbyname( |
|
|
594 | 594 | socket.gethostname()) |
|
|
595 | 595 | subtitle += 'Working directory: %s\n' % os.path.abspath('./') |
|
|
596 | 596 | subtitle += 'Configuration file: %s\n' % self.filename |
|
|
597 | 597 | subtitle += 'Time: %s\n' % str(datetime.datetime.now()) |
|
|
598 | 598 | |
|
|
599 | 599 | readUnitConfObj = self.getReadUnit() |
|
|
600 | 600 | if readUnitConfObj: |
|
|
601 | 601 | subtitle += '\nInput parameters:\n' |
|
|
602 | 602 | subtitle += '[Data path = %s]\n' % readUnitConfObj.parameters['path'] |
|
|
603 | 603 | subtitle += '[Start date = %s]\n' % readUnitConfObj.parameters['startDate'] |
|
|
604 | 604 | subtitle += '[End date = %s]\n' % readUnitConfObj.parameters['endDate'] |
|
|
605 | 605 | subtitle += '[Start time = %s]\n' % readUnitConfObj.parameters['startTime'] |
|
|
606 | 606 | subtitle += '[End time = %s]\n' % readUnitConfObj.parameters['endTime'] |
|
|
607 | 607 | |
|
|
608 | 608 | a = Alarm( |
|
|
609 | 609 | modes=self.alarm, |
|
|
610 | 610 | email=self.email, |
|
|
611 | 611 | message=message, |
|
|
612 | 612 | subject=subject, |
|
|
613 | 613 | subtitle=subtitle, |
|
|
614 | 614 | filename=self.filename |
|
|
615 | 615 | ) |
|
|
616 | 616 | |
|
|
617 | 617 | a.start() |
|
|
618 | 618 | |
|
|
619 | 619 | def setFilename(self, filename): |
|
|
620 | 620 | |
|
|
621 | 621 | self.filename = filename |
|
|
622 | 622 | |
|
|
623 | 623 | def runProcs(self): |
|
|
624 | 624 | |
|
|
625 | 625 | err = False |
|
|
626 | 626 | n = len(self.configurations) |
|
|
627 | 627 | |
|
|
628 | 628 | while not err: |
|
|
629 | 629 | for conf in self.getUnits(): |
|
|
630 | 630 | ok = conf.run() |
|
|
631 | 631 | if ok is 'Error': |
|
|
632 | 632 | n -= 1 |
|
|
633 | 633 | continue |
|
|
634 | 634 | elif not ok: |
|
|
635 | 635 | break |
|
|
636 | 636 | if n == 0: |
|
|
637 | 637 | err = True |
|
|
638 | 638 | |
|
|
639 | 639 | def run(self): |
|
|
640 | 640 | |
|
|
641 | 641 | log.success('\nStarting Project {} [id={}]'.format(self.name, self.id), tag='') |
|
|
642 | 642 | self.started = True |
|
|
643 | 643 | self.start_time = time.time() |
|
|
644 | 644 | self.createObjects() |
|
|
645 | 645 | self.runProcs() |
|
|
646 | 646 | log.success('{} Done (Time: {:4.2f}s)'.format( |
|
|
647 | 647 | self.name, |
|
|
648 | 648 | time.time()-self.start_time), '') |
| @@ -1,1394 +1,1391 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | $Author: murco $ |
|
|
4 | 4 | $Id: JROData.py 173 2012-11-20 15:06:21Z murco $ |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | import copy |
|
|
8 | 8 | import numpy |
|
|
9 | 9 | import datetime |
|
|
10 | 10 | import json |
|
|
11 | 11 | |
|
|
12 | 12 | import schainpy.admin |
|
|
13 | 13 | from schainpy.utils import log |
|
|
14 | 14 | from .jroheaderIO import SystemHeader, RadarControllerHeader |
|
|
15 | 15 | from schainpy.model.data import _noise |
|
|
16 | 16 | |
|
|
17 | 17 | |
|
|
18 | 18 | def getNumpyDtype(dataTypeCode): |
|
|
19 | 19 | |
|
|
20 | 20 | if dataTypeCode == 0: |
|
|
21 | 21 | numpyDtype = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
|
|
22 | 22 | elif dataTypeCode == 1: |
|
|
23 | 23 | numpyDtype = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
|
|
24 | 24 | elif dataTypeCode == 2: |
|
|
25 | 25 | numpyDtype = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
|
|
26 | 26 | elif dataTypeCode == 3: |
|
|
27 | 27 | numpyDtype = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
|
|
28 | 28 | elif dataTypeCode == 4: |
|
|
29 | 29 | numpyDtype = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
|
|
30 | 30 | elif dataTypeCode == 5: |
|
|
31 | 31 | numpyDtype = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
|
|
32 | 32 | else: |
|
|
33 | 33 | raise ValueError('dataTypeCode was not defined') |
|
|
34 | 34 | |
|
|
35 | 35 | return numpyDtype |
|
|
36 | 36 | |
|
|
37 | 37 | |
|
|
38 | 38 | def getDataTypeCode(numpyDtype): |
|
|
39 | 39 | |
|
|
40 | 40 | if numpyDtype == numpy.dtype([('real', '<i1'), ('imag', '<i1')]): |
|
|
41 | 41 | datatype = 0 |
|
|
42 | 42 | elif numpyDtype == numpy.dtype([('real', '<i2'), ('imag', '<i2')]): |
|
|
43 | 43 | datatype = 1 |
|
|
44 | 44 | elif numpyDtype == numpy.dtype([('real', '<i4'), ('imag', '<i4')]): |
|
|
45 | 45 | datatype = 2 |
|
|
46 | 46 | elif numpyDtype == numpy.dtype([('real', '<i8'), ('imag', '<i8')]): |
|
|
47 | 47 | datatype = 3 |
|
|
48 | 48 | elif numpyDtype == numpy.dtype([('real', '<f4'), ('imag', '<f4')]): |
|
|
49 | 49 | datatype = 4 |
|
|
50 | 50 | elif numpyDtype == numpy.dtype([('real', '<f8'), ('imag', '<f8')]): |
|
|
51 | 51 | datatype = 5 |
|
|
52 | 52 | else: |
|
|
53 | 53 | datatype = None |
|
|
54 | 54 | |
|
|
55 | 55 | return datatype |
|
|
56 | 56 | |
|
|
57 | 57 | |
|
|
58 | 58 | def hildebrand_sekhon(data, navg): |
|
|
59 | 59 | """ |
|
|
60 | 60 | This method is for the objective determination of the noise level in Doppler spectra. This |
|
|
61 | 61 | implementation technique is based on the fact that the standard deviation of the spectral |
|
|
62 | 62 | densities is equal to the mean spectral density for white Gaussian noise |
|
|
63 | 63 | |
|
|
64 | 64 | Inputs: |
|
|
65 | 65 | Data : heights |
|
|
66 | 66 | navg : numbers of averages |
|
|
67 | 67 | |
|
|
68 | 68 | Return: |
|
|
69 | 69 | mean : noise's level |
|
|
70 | 70 | """ |
|
|
71 | 71 | |
|
|
72 | 72 | sortdata = numpy.sort(data, axis=None) |
|
|
73 | 73 | ''' |
|
|
74 | 74 | lenOfData = len(sortdata) |
|
|
75 | 75 | nums_min = lenOfData*0.2 |
|
|
76 | 76 | |
|
|
77 | 77 | if nums_min <= 5: |
|
|
78 | 78 | |
|
|
79 | 79 | nums_min = 5 |
|
|
80 | 80 | |
|
|
81 | 81 | sump = 0. |
|
|
82 | 82 | sumq = 0. |
|
|
83 | 83 | |
|
|
84 | 84 | j = 0 |
|
|
85 | 85 | cont = 1 |
|
|
86 | 86 | |
|
|
87 | 87 | while((cont == 1)and(j < lenOfData)): |
|
|
88 | 88 | |
|
|
89 | 89 | sump += sortdata[j] |
|
|
90 | 90 | sumq += sortdata[j]**2 |
|
|
91 | 91 | |
|
|
92 | 92 | if j > nums_min: |
|
|
93 | 93 | rtest = float(j)/(j-1) + 1.0/navg |
|
|
94 | 94 | if ((sumq*j) > (rtest*sump**2)): |
|
|
95 | 95 | j = j - 1 |
|
|
96 | 96 | sump = sump - sortdata[j] |
|
|
97 | 97 | sumq = sumq - sortdata[j]**2 |
|
|
98 | 98 | cont = 0 |
|
|
99 | 99 | |
|
|
100 | 100 | j += 1 |
|
|
101 | 101 | |
|
|
102 | 102 | lnoise = sump / j |
|
|
103 | 103 | ''' |
|
|
104 | 104 | return _noise.hildebrand_sekhon(sortdata, navg) |
|
|
105 | 105 | |
|
|
106 | 106 | |
|
|
107 | 107 | class Beam: |
|
|
108 | 108 | |
|
|
109 | 109 | def __init__(self): |
|
|
110 | 110 | self.codeList = [] |
|
|
111 | 111 | self.azimuthList = [] |
|
|
112 | 112 | self.zenithList = [] |
|
|
113 | 113 | |
|
|
114 | 114 | |
|
|
115 | 115 | class GenericData(object): |
|
|
116 | 116 | |
|
|
117 | 117 | flagNoData = True |
|
|
118 | 118 | |
|
|
119 | 119 | def copy(self, inputObj=None): |
|
|
120 | 120 | |
|
|
121 | 121 | if inputObj == None: |
|
|
122 | 122 | return copy.deepcopy(self) |
|
|
123 | 123 | |
|
|
124 | 124 | for key in list(inputObj.__dict__.keys()): |
|
|
125 | 125 | |
|
|
126 | 126 | attribute = inputObj.__dict__[key] |
|
|
127 | 127 | |
|
|
128 | 128 | # If this attribute is a tuple or list |
|
|
129 | 129 | if type(inputObj.__dict__[key]) in (tuple, list): |
|
|
130 | 130 | self.__dict__[key] = attribute[:] |
|
|
131 | 131 | continue |
|
|
132 | 132 | |
|
|
133 | 133 | # If this attribute is another object or instance |
|
|
134 | 134 | if hasattr(attribute, '__dict__'): |
|
|
135 | 135 | self.__dict__[key] = attribute.copy() |
|
|
136 | 136 | continue |
|
|
137 | 137 | |
|
|
138 | 138 | self.__dict__[key] = inputObj.__dict__[key] |
|
|
139 | 139 | |
|
|
140 | 140 | def deepcopy(self): |
|
|
141 | 141 | |
|
|
142 | 142 | return copy.deepcopy(self) |
|
|
143 | 143 | |
|
|
144 | 144 | def isEmpty(self): |
|
|
145 | 145 | |
|
|
146 | 146 | return self.flagNoData |
|
|
147 | 147 | |
|
|
148 | 148 | def isReady(self): |
|
|
149 | 149 | |
|
|
150 | 150 | return not self.flagNoData |
|
|
151 | 151 | |
|
|
152 | 152 | |
|
|
153 | 153 | class JROData(GenericData): |
|
|
154 | 154 | |
|
|
155 | 155 | # m_BasicHeader = BasicHeader() |
|
|
156 | 156 | # m_ProcessingHeader = ProcessingHeader() |
|
|
157 | 157 | |
|
|
158 | 158 | systemHeaderObj = SystemHeader() |
|
|
159 | 159 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
160 | 160 | # data = None |
|
|
161 | 161 | type = None |
|
|
162 | 162 | datatype = None # dtype but in string |
|
|
163 | 163 | # dtype = None |
|
|
164 | 164 | # nChannels = None |
|
|
165 | 165 | # nHeights = None |
|
|
166 | 166 | nProfiles = None |
|
|
167 | 167 | heightList = None |
|
|
168 | 168 | channelList = None |
|
|
169 | 169 | flagDiscontinuousBlock = False |
|
|
170 | 170 | useLocalTime = False |
|
|
171 | 171 | utctime = None |
|
|
172 | 172 | timeZone = None |
|
|
173 | 173 | dstFlag = None |
|
|
174 | 174 | errorCount = None |
|
|
175 | 175 | blocksize = None |
|
|
176 | 176 | # nCode = None |
|
|
177 | 177 | # nBaud = None |
|
|
178 | 178 | # code = None |
|
|
179 | 179 | flagDecodeData = False # asumo q la data no esta decodificada |
|
|
180 | 180 | flagDeflipData = False # asumo q la data no esta sin flip |
|
|
181 | 181 | flagShiftFFT = False |
|
|
182 | 182 | # ippSeconds = None |
|
|
183 | 183 | # timeInterval = None |
|
|
184 | 184 | nCohInt = None |
|
|
185 | 185 | # noise = None |
|
|
186 | 186 | windowOfFilter = 1 |
|
|
187 | 187 | # Speed of ligth |
|
|
188 | 188 | C = 3e8 |
|
|
189 | 189 | frequency = 49.92e6 |
|
|
190 | 190 | realtime = False |
|
|
191 | 191 | beacon_heiIndexList = None |
|
|
192 | 192 | last_block = None |
|
|
193 | 193 | blocknow = None |
|
|
194 | 194 | azimuth = None |
|
|
195 | 195 | zenith = None |
|
|
196 | 196 | beam = Beam() |
|
|
197 | 197 | profileIndex = None |
|
|
198 | 198 | error = None |
|
|
199 | 199 | data = None |
|
|
200 | 200 | nmodes = None |
|
|
201 | 201 | |
|
|
202 | 202 | def __str__(self): |
|
|
203 | 203 | |
|
|
204 | 204 | return '{} - {}'.format(self.type, self.getDatatime()) |
|
|
205 | 205 | |
|
|
206 | 206 | def getNoise(self): |
|
|
207 | 207 | |
|
|
208 | 208 | raise NotImplementedError |
|
|
209 | 209 | |
|
|
210 | 210 | def getNChannels(self): |
|
|
211 | 211 | |
|
|
212 | 212 | return len(self.channelList) |
|
|
213 | 213 | |
|
|
214 | 214 | def getChannelIndexList(self): |
|
|
215 | 215 | |
|
|
216 | 216 | return list(range(self.nChannels)) |
|
|
217 | 217 | |
|
|
218 | 218 | def getNHeights(self): |
|
|
219 | 219 | |
|
|
220 | 220 | return len(self.heightList) |
|
|
221 | 221 | |
|
|
222 | 222 | def getHeiRange(self, extrapoints=0): |
|
|
223 | 223 | |
|
|
224 | 224 | heis = self.heightList |
|
|
225 | 225 | # deltah = self.heightList[1] - self.heightList[0] |
|
|
226 | 226 | # |
|
|
227 | 227 | # heis.append(self.heightList[-1]) |
|
|
228 | 228 | |
|
|
229 | 229 | return heis |
|
|
230 | 230 | |
|
|
231 | 231 | def getDeltaH(self): |
|
|
232 | 232 | |
|
|
233 | 233 | delta = self.heightList[1] - self.heightList[0] |
|
|
234 | 234 | |
|
|
235 | 235 | return delta |
|
|
236 | 236 | |
|
|
237 | 237 | def getltctime(self): |
|
|
238 | 238 | |
|
|
239 | 239 | if self.useLocalTime: |
|
|
240 | 240 | return self.utctime - self.timeZone * 60 |
|
|
241 | 241 | |
|
|
242 | 242 | return self.utctime |
|
|
243 | 243 | |
|
|
244 | 244 | def getDatatime(self): |
|
|
245 | 245 | |
|
|
246 | 246 | datatimeValue = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
|
247 | 247 | return datatimeValue |
|
|
248 | 248 | |
|
|
249 | 249 | def getTimeRange(self): |
|
|
250 | 250 | |
|
|
251 | 251 | datatime = [] |
|
|
252 | 252 | |
|
|
253 | 253 | datatime.append(self.ltctime) |
|
|
254 | 254 | datatime.append(self.ltctime + self.timeInterval + 1) |
|
|
255 | 255 | |
|
|
256 | 256 | datatime = numpy.array(datatime) |
|
|
257 | 257 | |
|
|
258 | 258 | return datatime |
|
|
259 | 259 | |
|
|
260 | 260 | def getFmaxTimeResponse(self): |
|
|
261 | 261 | |
|
|
262 | 262 | period = (10**-6) * self.getDeltaH() / (0.15) |
|
|
263 | 263 | |
|
|
264 | 264 | PRF = 1. / (period * self.nCohInt) |
|
|
265 | 265 | |
|
|
266 | 266 | fmax = PRF |
|
|
267 | 267 | |
|
|
268 | 268 | return fmax |
|
|
269 | 269 | |
|
|
270 | 270 | def getFmax(self): |
|
|
271 | 271 | PRF = 1. / (self.ippSeconds * self.nCohInt) |
|
|
272 | 272 | |
|
|
273 | 273 | fmax = PRF |
|
|
274 | 274 | return fmax |
|
|
275 | 275 | |
|
|
276 | 276 | def getVmax(self): |
|
|
277 | 277 | |
|
|
278 | 278 | _lambda = self.C / self.frequency |
|
|
279 | 279 | |
|
|
280 | 280 | vmax = self.getFmax() * _lambda / 2 |
|
|
281 | 281 | |
|
|
282 | 282 | return vmax |
|
|
283 | 283 | |
|
|
284 | 284 | def get_ippSeconds(self): |
|
|
285 | 285 | ''' |
|
|
286 | 286 | ''' |
|
|
287 | 287 | return self.radarControllerHeaderObj.ippSeconds |
|
|
288 | 288 | |
|
|
289 | 289 | def set_ippSeconds(self, ippSeconds): |
|
|
290 | 290 | ''' |
|
|
291 | 291 | ''' |
|
|
292 | 292 | |
|
|
293 | 293 | self.radarControllerHeaderObj.ippSeconds = ippSeconds |
|
|
294 | 294 | |
|
|
295 | 295 | return |
|
|
296 | 296 | |
|
|
297 | 297 | def get_dtype(self): |
|
|
298 | 298 | ''' |
|
|
299 | 299 | ''' |
|
|
300 | 300 | return getNumpyDtype(self.datatype) |
|
|
301 | 301 | |
|
|
302 | 302 | def set_dtype(self, numpyDtype): |
|
|
303 | 303 | ''' |
|
|
304 | 304 | ''' |
|
|
305 | 305 | |
|
|
306 | 306 | self.datatype = getDataTypeCode(numpyDtype) |
|
|
307 | 307 | |
|
|
308 | 308 | def get_code(self): |
|
|
309 | 309 | ''' |
|
|
310 | 310 | ''' |
|
|
311 | 311 | return self.radarControllerHeaderObj.code |
|
|
312 | 312 | |
|
|
313 | 313 | def set_code(self, code): |
|
|
314 | 314 | ''' |
|
|
315 | 315 | ''' |
|
|
316 | 316 | self.radarControllerHeaderObj.code = code |
|
|
317 | 317 | |
|
|
318 | 318 | return |
|
|
319 | 319 | |
|
|
320 | 320 | def get_ncode(self): |
|
|
321 | 321 | ''' |
|
|
322 | 322 | ''' |
|
|
323 | 323 | return self.radarControllerHeaderObj.nCode |
|
|
324 | 324 | |
|
|
325 | 325 | def set_ncode(self, nCode): |
|
|
326 | 326 | ''' |
|
|
327 | 327 | ''' |
|
|
328 | 328 | self.radarControllerHeaderObj.nCode = nCode |
|
|
329 | 329 | |
|
|
330 | 330 | return |
|
|
331 | 331 | |
|
|
332 | 332 | def get_nbaud(self): |
|
|
333 | 333 | ''' |
|
|
334 | 334 | ''' |
|
|
335 | 335 | return self.radarControllerHeaderObj.nBaud |
|
|
336 | 336 | |
|
|
337 | 337 | def set_nbaud(self, nBaud): |
|
|
338 | 338 | ''' |
|
|
339 | 339 | ''' |
|
|
340 | 340 | self.radarControllerHeaderObj.nBaud = nBaud |
|
|
341 | 341 | |
|
|
342 | 342 | return |
|
|
343 | 343 | |
|
|
344 | 344 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
|
345 | 345 | channelIndexList = property( |
|
|
346 | 346 | getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
|
347 | 347 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
|
|
348 | 348 | #noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
349 | 349 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
|
350 | 350 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
|
351 | 351 | ippSeconds = property(get_ippSeconds, set_ippSeconds) |
|
|
352 | 352 | dtype = property(get_dtype, set_dtype) |
|
|
353 | 353 | # timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
354 | 354 | code = property(get_code, set_code) |
|
|
355 | 355 | nCode = property(get_ncode, set_ncode) |
|
|
356 | 356 | nBaud = property(get_nbaud, set_nbaud) |
|
|
357 | 357 | |
|
|
358 | 358 | |
|
|
359 | 359 | class Voltage(JROData): |
|
|
360 | 360 | |
|
|
361 | 361 | # data es un numpy array de 2 dmensiones (canales, alturas) |
|
|
362 | 362 | data = None |
|
|
363 | 363 | data_intensity = None |
|
|
364 | 364 | data_velocity = None |
|
|
365 | 365 | def __init__(self): |
|
|
366 | 366 | ''' |
|
|
367 | 367 | Constructor |
|
|
368 | 368 | ''' |
|
|
369 | 369 | |
|
|
370 | 370 | self.useLocalTime = True |
|
|
371 | 371 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
372 | 372 | self.systemHeaderObj = SystemHeader() |
|
|
373 | 373 | self.type = "Voltage" |
|
|
374 | 374 | self.data = None |
|
|
375 | 375 | # self.dtype = None |
|
|
376 | 376 | # self.nChannels = 0 |
|
|
377 | 377 | # self.nHeights = 0 |
|
|
378 | 378 | self.nProfiles = None |
|
|
379 | 379 | self.heightList = None |
|
|
380 | 380 | self.channelList = None |
|
|
381 | 381 | # self.channelIndexList = None |
|
|
382 | 382 | self.flagNoData = True |
|
|
383 | 383 | self.flagDiscontinuousBlock = False |
|
|
384 | 384 | self.utctime = None |
|
|
385 | 385 | self.timeZone = None |
|
|
386 | 386 | self.dstFlag = None |
|
|
387 | 387 | self.errorCount = None |
|
|
388 | 388 | self.nCohInt = None |
|
|
389 | 389 | self.blocksize = None |
|
|
390 | 390 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
391 | 391 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
392 | 392 | self.flagShiftFFT = False |
|
|
393 | 393 | self.flagDataAsBlock = False # Asumo que la data es leida perfil a perfil |
|
|
394 | 394 | self.profileIndex = 0 |
|
|
395 | 395 | |
|
|
396 | 396 | def getNoisebyHildebrand(self, channel=None): |
|
|
397 | 397 | """ |
|
|
398 | 398 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
399 | 399 | |
|
|
400 | 400 | Return: |
|
|
401 | 401 | noiselevel |
|
|
402 | 402 | """ |
|
|
403 | 403 | |
|
|
404 | 404 | if channel != None: |
|
|
405 | 405 | data = self.data[channel] |
|
|
406 | 406 | nChannels = 1 |
|
|
407 | 407 | else: |
|
|
408 | 408 | data = self.data |
|
|
409 | 409 | nChannels = self.nChannels |
|
|
410 | 410 | |
|
|
411 | 411 | noise = numpy.zeros(nChannels) |
|
|
412 | 412 | power = data * numpy.conjugate(data) |
|
|
413 | 413 | |
|
|
414 | 414 | for thisChannel in range(nChannels): |
|
|
415 | 415 | if nChannels == 1: |
|
|
416 | 416 | daux = power[:].real |
|
|
417 | 417 | else: |
|
|
418 | 418 | daux = power[thisChannel, :].real |
|
|
419 | 419 | noise[thisChannel] = hildebrand_sekhon(daux, self.nCohInt) |
|
|
420 | 420 | |
|
|
421 | 421 | return noise |
|
|
422 | 422 | |
|
|
423 | 423 | def getNoise(self, type=1, channel=None): |
|
|
424 | 424 | |
|
|
425 | 425 | if type == 1: |
|
|
426 | 426 | noise = self.getNoisebyHildebrand(channel) |
|
|
427 | 427 | |
|
|
428 | 428 | return noise |
|
|
429 | 429 | |
|
|
430 | 430 | def getPower(self, channel=None): |
|
|
431 | 431 | |
|
|
432 | 432 | if channel != None: |
|
|
433 | 433 | data = self.data[channel] |
|
|
434 | 434 | else: |
|
|
435 | 435 | data = self.data |
|
|
436 | 436 | |
|
|
437 | 437 | power = data * numpy.conjugate(data) |
|
|
438 | 438 | powerdB = 10 * numpy.log10(power.real) |
|
|
439 | 439 | powerdB = numpy.squeeze(powerdB) |
|
|
440 | 440 | |
|
|
441 | 441 | return powerdB |
|
|
442 | 442 | |
|
|
443 | 443 | def getTimeInterval(self): |
|
|
444 | 444 | |
|
|
445 | 445 | timeInterval = self.ippSeconds * self.nCohInt |
|
|
446 | 446 | |
|
|
447 | 447 | return timeInterval |
|
|
448 | 448 | |
|
|
449 | 449 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
450 | 450 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
451 | 451 | |
|
|
452 | 452 | |
|
|
453 | 453 | class Spectra(JROData): |
|
|
454 | 454 | |
|
|
455 | 455 | # data spc es un numpy array de 2 dmensiones (canales, perfiles, alturas) |
|
|
456 | 456 | data_spc = None |
|
|
457 | 457 | # data cspc es un numpy array de 2 dmensiones (canales, pares, alturas) |
|
|
458 | 458 | data_cspc = None |
|
|
459 | 459 | # data dc es un numpy array de 2 dmensiones (canales, alturas) |
|
|
460 | 460 | data_dc = None |
|
|
461 | 461 | # data power |
|
|
462 | 462 | data_pwr = None |
|
|
463 | 463 | nFFTPoints = None |
|
|
464 | 464 | # nPairs = None |
|
|
465 | 465 | pairsList = None |
|
|
466 | 466 | nIncohInt = None |
|
|
467 | 467 | wavelength = None # Necesario para cacular el rango de velocidad desde la frecuencia |
|
|
468 | 468 | nCohInt = None # se requiere para determinar el valor de timeInterval |
|
|
469 | 469 | ippFactor = None |
|
|
470 | 470 | profileIndex = 0 |
|
|
471 | 471 | plotting = "spectra" |
|
|
472 | 472 | |
|
|
473 | 473 | def __init__(self): |
|
|
474 | 474 | ''' |
|
|
475 | 475 | Constructor |
|
|
476 | 476 | ''' |
|
|
477 | 477 | |
|
|
478 | 478 | self.useLocalTime = True |
|
|
479 | 479 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
480 | 480 | self.systemHeaderObj = SystemHeader() |
|
|
481 | 481 | self.type = "Spectra" |
|
|
482 | 482 | # self.data = None |
|
|
483 | 483 | # self.dtype = None |
|
|
484 | 484 | # self.nChannels = 0 |
|
|
485 | 485 | # self.nHeights = 0 |
|
|
486 | 486 | self.nProfiles = None |
|
|
487 | 487 | self.heightList = None |
|
|
488 | 488 | self.channelList = None |
|
|
489 | 489 | # self.channelIndexList = None |
|
|
490 | 490 | self.pairsList = None |
|
|
491 | 491 | self.flagNoData = True |
|
|
492 | 492 | self.flagDiscontinuousBlock = False |
|
|
493 | 493 | self.utctime = None |
|
|
494 | 494 | self.nCohInt = None |
|
|
495 | 495 | self.nIncohInt = None |
|
|
496 | 496 | self.blocksize = None |
|
|
497 | 497 | self.nFFTPoints = None |
|
|
498 | 498 | self.wavelength = None |
|
|
499 | 499 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
500 | 500 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
501 | 501 | self.flagShiftFFT = False |
|
|
502 | 502 | self.ippFactor = 1 |
|
|
503 | 503 | #self.noise = None |
|
|
504 | 504 | self.beacon_heiIndexList = [] |
|
|
505 | 505 | self.noise_estimation = None |
|
|
506 | 506 | |
|
|
507 | 507 | def getNoisebyHildebrand(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
|
508 | 508 | """ |
|
|
509 | 509 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
|
510 | 510 | |
|
|
511 | 511 | Return: |
|
|
512 | 512 | noiselevel |
|
|
513 | 513 | """ |
|
|
514 | 514 | |
|
|
515 | 515 | noise = numpy.zeros(self.nChannels) |
|
|
516 | 516 | |
|
|
517 | 517 | for channel in range(self.nChannels): |
|
|
518 | 518 | daux = self.data_spc[channel, |
|
|
519 | 519 | xmin_index:xmax_index, ymin_index:ymax_index] |
|
|
520 | 520 | noise[channel] = hildebrand_sekhon(daux, self.nIncohInt) |
|
|
521 | 521 | |
|
|
522 | 522 | return noise |
|
|
523 | 523 | |
|
|
524 | 524 | def getNoise(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
|
525 | 525 | |
|
|
526 | 526 | if self.noise_estimation is not None: |
|
|
527 | 527 | # this was estimated by getNoise Operation defined in jroproc_spectra.py |
|
|
528 | 528 | return self.noise_estimation |
|
|
529 | 529 | else: |
|
|
530 | 530 | noise = self.getNoisebyHildebrand( |
|
|
531 | 531 | xmin_index, xmax_index, ymin_index, ymax_index) |
|
|
532 | 532 | return noise |
|
|
533 | 533 | |
|
|
534 | 534 | def getFreqRangeTimeResponse(self, extrapoints=0): |
|
|
535 | 535 | |
|
|
536 | 536 | deltafreq = self.getFmaxTimeResponse() / (self.nFFTPoints * self.ippFactor) |
|
|
537 | 537 | freqrange = deltafreq * (numpy.arange(self.nFFTPoints + extrapoints) - self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
538 | 538 | |
|
|
539 | 539 | return freqrange |
|
|
540 | 540 | |
|
|
541 | 541 | def getAcfRange(self, extrapoints=0): |
|
|
542 | 542 | |
|
|
543 | 543 | deltafreq = 10. / (self.getFmax() / (self.nFFTPoints * self.ippFactor)) |
|
|
544 | 544 | freqrange = deltafreq * (numpy.arange(self.nFFTPoints + extrapoints) -self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
545 | 545 | |
|
|
546 | 546 | return freqrange |
|
|
547 | 547 | |
|
|
548 | 548 | def getFreqRange(self, extrapoints=0): |
|
|
549 | 549 | |
|
|
550 | 550 | deltafreq = self.getFmax() / (self.nFFTPoints * self.ippFactor) |
|
|
551 | 551 | freqrange = deltafreq * (numpy.arange(self.nFFTPoints + extrapoints) -self.nFFTPoints / 2.) - deltafreq / 2 |
|
|
552 | 552 | |
|
|
553 | 553 | return freqrange |
|
|
554 | 554 | |
|
|
555 | 555 | def getVelRange(self, extrapoints=0): |
|
|
556 | 556 | |
|
|
557 | 557 | deltav = self.getVmax() / (self.nFFTPoints * self.ippFactor) |
|
|
558 | 558 | velrange = deltav * (numpy.arange(self.nFFTPoints + extrapoints) - self.nFFTPoints / 2.) |
|
|
559 | 559 | |
|
|
560 | 560 | if self.nmodes: |
|
|
561 | 561 | return velrange/self.nmodes |
|
|
562 | 562 | else: |
|
|
563 | 563 | return velrange |
|
|
564 | 564 | |
|
|
565 | 565 | def getNPairs(self): |
|
|
566 | 566 | |
|
|
567 | 567 | return len(self.pairsList) |
|
|
568 | 568 | |
|
|
569 | 569 | def getPairsIndexList(self): |
|
|
570 | 570 | |
|
|
571 | 571 | return list(range(self.nPairs)) |
|
|
572 | 572 | |
|
|
573 | 573 | def getNormFactor(self): |
|
|
574 | 574 | |
|
|
575 | 575 | pwcode = 1 |
|
|
576 | 576 | |
|
|
577 | 577 | if self.flagDecodeData: |
|
|
578 | 578 | pwcode = numpy.sum(self.code[0]**2) |
|
|
579 | 579 | #normFactor = min(self.nFFTPoints,self.nProfiles)*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
|
|
580 | 580 | normFactor = self.nProfiles * self.nIncohInt * self.nCohInt * pwcode * self.windowOfFilter |
|
|
581 | 581 | |
|
|
582 | 582 | return normFactor |
|
|
583 | 583 | |
|
|
584 | 584 | def getFlagCspc(self): |
|
|
585 | 585 | |
|
|
586 | 586 | if self.data_cspc is None: |
|
|
587 | 587 | return True |
|
|
588 | 588 | |
|
|
589 | 589 | return False |
|
|
590 | 590 | |
|
|
591 | 591 | def getFlagDc(self): |
|
|
592 | 592 | |
|
|
593 | 593 | if self.data_dc is None: |
|
|
594 | 594 | return True |
|
|
595 | 595 | |
|
|
596 | 596 | return False |
|
|
597 | 597 | |
|
|
598 | 598 | def getTimeInterval(self): |
|
|
599 | 599 | |
|
|
600 | 600 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt * self.nProfiles * self.ippFactor |
|
|
601 | 601 | if self.nmodes: |
|
|
602 | 602 | return self.nmodes*timeInterval |
|
|
603 | 603 | else: |
|
|
604 | 604 | return timeInterval |
|
|
605 | 605 | |
|
|
606 | 606 | def getPower(self): |
|
|
607 | 607 | |
|
|
608 | 608 | factor = self.normFactor |
|
|
609 | 609 | z = self.data_spc / factor |
|
|
610 | 610 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
|
611 | 611 | avg = numpy.average(z, axis=1) |
|
|
612 | 612 | |
|
|
613 | 613 | return 10 * numpy.log10(avg) |
|
|
614 | 614 | |
|
|
615 | 615 | def getCoherence(self, pairsList=None, phase=False): |
|
|
616 | 616 | |
|
|
617 | 617 | z = [] |
|
|
618 | 618 | if pairsList is None: |
|
|
619 | 619 | pairsIndexList = self.pairsIndexList |
|
|
620 | 620 | else: |
|
|
621 | 621 | pairsIndexList = [] |
|
|
622 | 622 | for pair in pairsList: |
|
|
623 | 623 | if pair not in self.pairsList: |
|
|
624 | 624 | raise ValueError("Pair %s is not in dataOut.pairsList" % ( |
|
|
625 | 625 | pair)) |
|
|
626 | 626 | pairsIndexList.append(self.pairsList.index(pair)) |
|
|
627 | 627 | for i in range(len(pairsIndexList)): |
|
|
628 | 628 | pair = self.pairsList[pairsIndexList[i]] |
|
|
629 | 629 | ccf = numpy.average(self.data_cspc[pairsIndexList[i], :, :], axis=0) |
|
|
630 | 630 | powa = numpy.average(self.data_spc[pair[0], :, :], axis=0) |
|
|
631 | 631 | powb = numpy.average(self.data_spc[pair[1], :, :], axis=0) |
|
|
632 | 632 | avgcoherenceComplex = ccf / numpy.sqrt(powa * powb) |
|
|
633 | 633 | if phase: |
|
|
634 | 634 | data = numpy.arctan2(avgcoherenceComplex.imag, |
|
|
635 | 635 | avgcoherenceComplex.real) * 180 / numpy.pi |
|
|
636 | 636 | else: |
|
|
637 | 637 | data = numpy.abs(avgcoherenceComplex) |
|
|
638 | 638 | |
|
|
639 | 639 | z.append(data) |
|
|
640 | 640 | |
|
|
641 | 641 | return numpy.array(z) |
|
|
642 | 642 | |
|
|
643 | 643 | def setValue(self, value): |
|
|
644 | 644 | |
|
|
645 | 645 | print("This property should not be initialized") |
|
|
646 | 646 | |
|
|
647 | 647 | return |
|
|
648 | 648 | |
|
|
649 | 649 | nPairs = property(getNPairs, setValue, "I'm the 'nPairs' property.") |
|
|
650 | 650 | pairsIndexList = property( |
|
|
651 | 651 | getPairsIndexList, setValue, "I'm the 'pairsIndexList' property.") |
|
|
652 | 652 | normFactor = property(getNormFactor, setValue, |
|
|
653 | 653 | "I'm the 'getNormFactor' property.") |
|
|
654 | 654 | flag_cspc = property(getFlagCspc, setValue) |
|
|
655 | 655 | flag_dc = property(getFlagDc, setValue) |
|
|
656 | 656 | noise = property(getNoise, setValue, "I'm the 'nHeights' property.") |
|
|
657 | 657 | timeInterval = property(getTimeInterval, setValue, |
|
|
658 | 658 | "I'm the 'timeInterval' property") |
|
|
659 | 659 | |
|
|
660 | 660 | |
|
|
661 | 661 | class SpectraHeis(Spectra): |
|
|
662 | 662 | |
|
|
663 | 663 | data_spc = None |
|
|
664 | 664 | data_cspc = None |
|
|
665 | 665 | data_dc = None |
|
|
666 | 666 | nFFTPoints = None |
|
|
667 | 667 | # nPairs = None |
|
|
668 | 668 | pairsList = None |
|
|
669 | 669 | nCohInt = None |
|
|
670 | 670 | nIncohInt = None |
|
|
671 | 671 | |
|
|
672 | 672 | def __init__(self): |
|
|
673 | 673 | |
|
|
674 | 674 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
675 | 675 | |
|
|
676 | 676 | self.systemHeaderObj = SystemHeader() |
|
|
677 | 677 | |
|
|
678 | 678 | self.type = "SpectraHeis" |
|
|
679 | 679 | |
|
|
680 | 680 | # self.dtype = None |
|
|
681 | 681 | |
|
|
682 | 682 | # self.nChannels = 0 |
|
|
683 | 683 | |
|
|
684 | 684 | # self.nHeights = 0 |
|
|
685 | 685 | |
|
|
686 | 686 | self.nProfiles = None |
|
|
687 | 687 | |
|
|
688 | 688 | self.heightList = None |
|
|
689 | 689 | |
|
|
690 | 690 | self.channelList = None |
|
|
691 | 691 | |
|
|
692 | 692 | # self.channelIndexList = None |
|
|
693 | 693 | |
|
|
694 | 694 | self.flagNoData = True |
|
|
695 | 695 | |
|
|
696 | 696 | self.flagDiscontinuousBlock = False |
|
|
697 | 697 | |
|
|
698 | 698 | # self.nPairs = 0 |
|
|
699 | 699 | |
|
|
700 | 700 | self.utctime = None |
|
|
701 | 701 | |
|
|
702 | 702 | self.blocksize = None |
|
|
703 | 703 | |
|
|
704 | 704 | self.profileIndex = 0 |
|
|
705 | 705 | |
|
|
706 | 706 | self.nCohInt = 1 |
|
|
707 | 707 | |
|
|
708 | 708 | self.nIncohInt = 1 |
|
|
709 | 709 | |
|
|
710 | 710 | def getNormFactor(self): |
|
|
711 | 711 | pwcode = 1 |
|
|
712 | 712 | if self.flagDecodeData: |
|
|
713 | 713 | pwcode = numpy.sum(self.code[0]**2) |
|
|
714 | 714 | |
|
|
715 | 715 | normFactor = self.nIncohInt * self.nCohInt * pwcode |
|
|
716 | 716 | |
|
|
717 | 717 | return normFactor |
|
|
718 | 718 | |
|
|
719 | 719 | def getTimeInterval(self): |
|
|
720 | 720 | |
|
|
721 | 721 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|
722 | 722 | |
|
|
723 | 723 | return timeInterval |
|
|
724 | 724 | |
|
|
725 | 725 | normFactor = property(getNormFactor, "I'm the 'getNormFactor' property.") |
|
|
726 | 726 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
727 | 727 | |
|
|
728 | 728 | |
|
|
729 | 729 | class Fits(JROData): |
|
|
730 | 730 | |
|
|
731 | 731 | heightList = None |
|
|
732 | 732 | channelList = None |
|
|
733 | 733 | flagNoData = True |
|
|
734 | 734 | flagDiscontinuousBlock = False |
|
|
735 | 735 | useLocalTime = False |
|
|
736 | 736 | utctime = None |
|
|
737 | 737 | timeZone = None |
|
|
738 | 738 | # ippSeconds = None |
|
|
739 | 739 | # timeInterval = None |
|
|
740 | 740 | nCohInt = None |
|
|
741 | 741 | nIncohInt = None |
|
|
742 | 742 | noise = None |
|
|
743 | 743 | windowOfFilter = 1 |
|
|
744 | 744 | # Speed of ligth |
|
|
745 | 745 | C = 3e8 |
|
|
746 | 746 | frequency = 49.92e6 |
|
|
747 | 747 | realtime = False |
|
|
748 | 748 | |
|
|
749 | 749 | def __init__(self): |
|
|
750 | 750 | |
|
|
751 | 751 | self.type = "Fits" |
|
|
752 | 752 | |
|
|
753 | 753 | self.nProfiles = None |
|
|
754 | 754 | |
|
|
755 | 755 | self.heightList = None |
|
|
756 | 756 | |
|
|
757 | 757 | self.channelList = None |
|
|
758 | 758 | |
|
|
759 | 759 | # self.channelIndexList = None |
|
|
760 | 760 | |
|
|
761 | 761 | self.flagNoData = True |
|
|
762 | 762 | |
|
|
763 | 763 | self.utctime = None |
|
|
764 | 764 | |
|
|
765 | 765 | self.nCohInt = 1 |
|
|
766 | 766 | |
|
|
767 | 767 | self.nIncohInt = 1 |
|
|
768 | 768 | |
|
|
769 | 769 | self.useLocalTime = True |
|
|
770 | 770 | |
|
|
771 | 771 | self.profileIndex = 0 |
|
|
772 | 772 | |
|
|
773 | 773 | # self.utctime = None |
|
|
774 | 774 | # self.timeZone = None |
|
|
775 | 775 | # self.ltctime = None |
|
|
776 | 776 | # self.timeInterval = None |
|
|
777 | 777 | # self.header = None |
|
|
778 | 778 | # self.data_header = None |
|
|
779 | 779 | # self.data = None |
|
|
780 | 780 | # self.datatime = None |
|
|
781 | 781 | # self.flagNoData = False |
|
|
782 | 782 | # self.expName = '' |
|
|
783 | 783 | # self.nChannels = None |
|
|
784 | 784 | # self.nSamples = None |
|
|
785 | 785 | # self.dataBlocksPerFile = None |
|
|
786 | 786 | # self.comments = '' |
|
|
787 | 787 | # |
|
|
788 | 788 | |
|
|
789 | 789 | def getltctime(self): |
|
|
790 | 790 | |
|
|
791 | 791 | if self.useLocalTime: |
|
|
792 | 792 | return self.utctime - self.timeZone * 60 |
|
|
793 | 793 | |
|
|
794 | 794 | return self.utctime |
|
|
795 | 795 | |
|
|
796 | 796 | def getDatatime(self): |
|
|
797 | 797 | |
|
|
798 | 798 | datatime = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
|
799 | 799 | return datatime |
|
|
800 | 800 | |
|
|
801 | 801 | def getTimeRange(self): |
|
|
802 | 802 | |
|
|
803 | 803 | datatime = [] |
|
|
804 | 804 | |
|
|
805 | 805 | datatime.append(self.ltctime) |
|
|
806 | 806 | datatime.append(self.ltctime + self.timeInterval) |
|
|
807 | 807 | |
|
|
808 | 808 | datatime = numpy.array(datatime) |
|
|
809 | 809 | |
|
|
810 | 810 | return datatime |
|
|
811 | 811 | |
|
|
812 | 812 | def getHeiRange(self): |
|
|
813 | 813 | |
|
|
814 | 814 | heis = self.heightList |
|
|
815 | 815 | |
|
|
816 | 816 | return heis |
|
|
817 | 817 | |
|
|
818 | 818 | def getNHeights(self): |
|
|
819 | 819 | |
|
|
820 | 820 | return len(self.heightList) |
|
|
821 | 821 | |
|
|
822 | 822 | def getNChannels(self): |
|
|
823 | 823 | |
|
|
824 | 824 | return len(self.channelList) |
|
|
825 | 825 | |
|
|
826 | 826 | def getChannelIndexList(self): |
|
|
827 | 827 | |
|
|
828 | 828 | return list(range(self.nChannels)) |
|
|
829 | 829 | |
|
|
830 | 830 | def getNoise(self, type=1): |
|
|
831 | 831 | |
|
|
832 | 832 | #noise = numpy.zeros(self.nChannels) |
|
|
833 | 833 | |
|
|
834 | 834 | if type == 1: |
|
|
835 | 835 | noise = self.getNoisebyHildebrand() |
|
|
836 | 836 | |
|
|
837 | 837 | if type == 2: |
|
|
838 | 838 | noise = self.getNoisebySort() |
|
|
839 | 839 | |
|
|
840 | 840 | if type == 3: |
|
|
841 | 841 | noise = self.getNoisebyWindow() |
|
|
842 | 842 | |
|
|
843 | 843 | return noise |
|
|
844 | 844 | |
|
|
845 | 845 | def getTimeInterval(self): |
|
|
846 | 846 | |
|
|
847 | 847 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
|
848 | 848 | |
|
|
849 | 849 | return timeInterval |
|
|
850 | 850 | |
|
|
851 | 851 | def get_ippSeconds(self): |
|
|
852 | 852 | ''' |
|
|
853 | 853 | ''' |
|
|
854 | 854 | return self.ipp_sec |
|
|
855 | 855 | |
|
|
856 | 856 | |
|
|
857 | 857 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
|
858 | 858 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
|
|
859 | 859 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
|
860 | 860 | channelIndexList = property( |
|
|
861 | 861 | getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
|
862 | 862 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
|
863 | 863 | |
|
|
864 | 864 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
|
865 | 865 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
866 | 866 | ippSeconds = property(get_ippSeconds, '') |
|
|
867 | 867 | |
|
|
868 | 868 | class Correlation(JROData): |
|
|
869 | 869 | |
|
|
870 | 870 | noise = None |
|
|
871 | 871 | SNR = None |
|
|
872 | 872 | #-------------------------------------------------- |
|
|
873 | 873 | mode = None |
|
|
874 | 874 | split = False |
|
|
875 | 875 | data_cf = None |
|
|
876 | 876 | lags = None |
|
|
877 | 877 | lagRange = None |
|
|
878 | 878 | pairsList = None |
|
|
879 | 879 | normFactor = None |
|
|
880 | 880 | #-------------------------------------------------- |
|
|
881 | 881 | # calculateVelocity = None |
|
|
882 | 882 | nLags = None |
|
|
883 | 883 | nPairs = None |
|
|
884 | 884 | nAvg = None |
|
|
885 | 885 | |
|
|
886 | 886 | def __init__(self): |
|
|
887 | 887 | ''' |
|
|
888 | 888 | Constructor |
|
|
889 | 889 | ''' |
|
|
890 | 890 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
891 | 891 | |
|
|
892 | 892 | self.systemHeaderObj = SystemHeader() |
|
|
893 | 893 | |
|
|
894 | 894 | self.type = "Correlation" |
|
|
895 | 895 | |
|
|
896 | 896 | self.data = None |
|
|
897 | 897 | |
|
|
898 | 898 | self.dtype = None |
|
|
899 | 899 | |
|
|
900 | 900 | self.nProfiles = None |
|
|
901 | 901 | |
|
|
902 | 902 | self.heightList = None |
|
|
903 | 903 | |
|
|
904 | 904 | self.channelList = None |
|
|
905 | 905 | |
|
|
906 | 906 | self.flagNoData = True |
|
|
907 | 907 | |
|
|
908 | 908 | self.flagDiscontinuousBlock = False |
|
|
909 | 909 | |
|
|
910 | 910 | self.utctime = None |
|
|
911 | 911 | |
|
|
912 | 912 | self.timeZone = None |
|
|
913 | 913 | |
|
|
914 | 914 | self.dstFlag = None |
|
|
915 | 915 | |
|
|
916 | 916 | self.errorCount = None |
|
|
917 | 917 | |
|
|
918 | 918 | self.blocksize = None |
|
|
919 | 919 | |
|
|
920 | 920 | self.flagDecodeData = False # asumo q la data no esta decodificada |
|
|
921 | 921 | |
|
|
922 | 922 | self.flagDeflipData = False # asumo q la data no esta sin flip |
|
|
923 | 923 | |
|
|
924 | 924 | self.pairsList = None |
|
|
925 | 925 | |
|
|
926 | 926 | self.nPoints = None |
|
|
927 | 927 | |
|
|
928 | 928 | def getPairsList(self): |
|
|
929 | 929 | |
|
|
930 | 930 | return self.pairsList |
|
|
931 | 931 | |
|
|
932 | 932 | def getNoise(self, mode=2): |
|
|
933 | 933 | |
|
|
934 | 934 | indR = numpy.where(self.lagR == 0)[0][0] |
|
|
935 | 935 | indT = numpy.where(self.lagT == 0)[0][0] |
|
|
936 | 936 | |
|
|
937 | 937 | jspectra0 = self.data_corr[:, :, indR, :] |
|
|
938 | 938 | jspectra = copy.copy(jspectra0) |
|
|
939 | 939 | |
|
|
940 | 940 | num_chan = jspectra.shape[0] |
|
|
941 | 941 | num_hei = jspectra.shape[2] |
|
|
942 | 942 | |
|
|
943 | 943 | freq_dc = jspectra.shape[1] / 2 |
|
|
944 | 944 | ind_vel = numpy.array([-2, -1, 1, 2]) + freq_dc |
|
|
945 | 945 | |
|
|
946 | 946 | if ind_vel[0] < 0: |
|
|
947 | 947 | ind_vel[list(range(0, 1))] = ind_vel[list( |
|
|
948 | 948 | range(0, 1))] + self.num_prof |
|
|
949 | 949 | |
|
|
950 | 950 | if mode == 1: |
|
|
951 | 951 | jspectra[:, freq_dc, :] = ( |
|
|
952 | 952 | jspectra[:, ind_vel[1], :] + jspectra[:, ind_vel[2], :]) / 2 # CORRECCION |
|
|
953 | 953 | |
|
|
954 | 954 | if mode == 2: |
|
|
955 | 955 | |
|
|
956 | 956 | vel = numpy.array([-2, -1, 1, 2]) |
|
|
957 | 957 | xx = numpy.zeros([4, 4]) |
|
|
958 | 958 | |
|
|
959 | 959 | for fil in range(4): |
|
|
960 | 960 | xx[fil, :] = vel[fil]**numpy.asarray(list(range(4))) |
|
|
961 | 961 | |
|
|
962 | 962 | xx_inv = numpy.linalg.inv(xx) |
|
|
963 | 963 | xx_aux = xx_inv[0, :] |
|
|
964 | 964 | |
|
|
965 | 965 | for ich in range(num_chan): |
|
|
966 | 966 | yy = jspectra[ich, ind_vel, :] |
|
|
967 | 967 | jspectra[ich, freq_dc, :] = numpy.dot(xx_aux, yy) |
|
|
968 | 968 | |
|
|
969 | 969 | junkid = jspectra[ich, freq_dc, :] <= 0 |
|
|
970 | 970 | cjunkid = sum(junkid) |
|
|
971 | 971 | |
|
|
972 | 972 | if cjunkid.any(): |
|
|
973 | 973 | jspectra[ich, freq_dc, junkid.nonzero()] = ( |
|
|
974 | 974 | jspectra[ich, ind_vel[1], junkid] + jspectra[ich, ind_vel[2], junkid]) / 2 |
|
|
975 | 975 | |
|
|
976 | 976 | noise = jspectra0[:, freq_dc, :] - jspectra[:, freq_dc, :] |
|
|
977 | 977 | |
|
|
978 | 978 | return noise |
|
|
979 | 979 | |
|
|
980 | 980 | def getTimeInterval(self): |
|
|
981 | 981 | |
|
|
982 | 982 | timeInterval = self.ippSeconds * self.nCohInt * self.nProfiles |
|
|
983 | 983 | |
|
|
984 | 984 | return timeInterval |
|
|
985 | 985 | |
|
|
986 | 986 | def splitFunctions(self): |
|
|
987 | 987 | |
|
|
988 | 988 | pairsList = self.pairsList |
|
|
989 | 989 | ccf_pairs = [] |
|
|
990 | 990 | acf_pairs = [] |
|
|
991 | 991 | ccf_ind = [] |
|
|
992 | 992 | acf_ind = [] |
|
|
993 | 993 | for l in range(len(pairsList)): |
|
|
994 | 994 | chan0 = pairsList[l][0] |
|
|
995 | 995 | chan1 = pairsList[l][1] |
|
|
996 | 996 | |
|
|
997 | 997 | # Obteniendo pares de Autocorrelacion |
|
|
998 | 998 | if chan0 == chan1: |
|
|
999 | 999 | acf_pairs.append(chan0) |
|
|
1000 | 1000 | acf_ind.append(l) |
|
|
1001 | 1001 | else: |
|
|
1002 | 1002 | ccf_pairs.append(pairsList[l]) |
|
|
1003 | 1003 | ccf_ind.append(l) |
|
|
1004 | 1004 | |
|
|
1005 | 1005 | data_acf = self.data_cf[acf_ind] |
|
|
1006 | 1006 | data_ccf = self.data_cf[ccf_ind] |
|
|
1007 | 1007 | |
|
|
1008 | 1008 | return acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf |
|
|
1009 | 1009 | |
|
|
1010 | 1010 | def getNormFactor(self): |
|
|
1011 | 1011 | acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.splitFunctions() |
|
|
1012 | 1012 | acf_pairs = numpy.array(acf_pairs) |
|
|
1013 | 1013 | normFactor = numpy.zeros((self.nPairs, self.nHeights)) |
|
|
1014 | 1014 | |
|
|
1015 | 1015 | for p in range(self.nPairs): |
|
|
1016 | 1016 | pair = self.pairsList[p] |
|
|
1017 | 1017 | |
|
|
1018 | 1018 | ch0 = pair[0] |
|
|
1019 | 1019 | ch1 = pair[1] |
|
|
1020 | 1020 | |
|
|
1021 | 1021 | ch0_max = numpy.max(data_acf[acf_pairs == ch0, :, :], axis=1) |
|
|
1022 | 1022 | ch1_max = numpy.max(data_acf[acf_pairs == ch1, :, :], axis=1) |
|
|
1023 | 1023 | normFactor[p, :] = numpy.sqrt(ch0_max * ch1_max) |
|
|
1024 | 1024 | |
|
|
1025 | 1025 | return normFactor |
|
|
1026 | 1026 | |
|
|
1027 | 1027 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
|
1028 | 1028 | normFactor = property(getNormFactor, "I'm the 'normFactor property'") |
|
|
1029 | 1029 | |
|
|
1030 | 1030 | |
|
|
1031 | 1031 | class Parameters(Spectra): |
|
|
1032 | 1032 | |
|
|
1033 | 1033 | experimentInfo = None # Information about the experiment |
|
|
1034 | 1034 | # Information from previous data |
|
|
1035 | 1035 | inputUnit = None # Type of data to be processed |
|
|
1036 | 1036 | operation = None # Type of operation to parametrize |
|
|
1037 | 1037 | # normFactor = None #Normalization Factor |
|
|
1038 | 1038 | groupList = None # List of Pairs, Groups, etc |
|
|
1039 | 1039 | # Parameters |
|
|
1040 | 1040 | data_param = None # Parameters obtained |
|
|
1041 | 1041 | data_pre = None # Data Pre Parametrization |
|
|
1042 | 1042 | data_SNR = None # Signal to Noise Ratio |
|
|
1043 | 1043 | # heightRange = None #Heights |
|
|
1044 | 1044 | abscissaList = None # Abscissa, can be velocities, lags or time |
|
|
1045 | 1045 | # noise = None #Noise Potency |
|
|
1046 | 1046 | utctimeInit = None # Initial UTC time |
|
|
1047 | 1047 | paramInterval = None # Time interval to calculate Parameters in seconds |
|
|
1048 | 1048 | useLocalTime = True |
|
|
1049 | 1049 | # Fitting |
|
|
1050 | 1050 | data_error = None # Error of the estimation |
|
|
1051 | 1051 | constants = None |
|
|
1052 | 1052 | library = None |
|
|
1053 | 1053 | # Output signal |
|
|
1054 | 1054 | outputInterval = None # Time interval to calculate output signal in seconds |
|
|
1055 | 1055 | data_output = None # Out signal |
|
|
1056 | 1056 | nAvg = None |
|
|
1057 | 1057 | noise_estimation = None |
|
|
1058 | 1058 | GauSPC = None # Fit gaussian SPC |
|
|
1059 | 1059 | |
|
|
1060 | 1060 | def __init__(self): |
|
|
1061 | 1061 | ''' |
|
|
1062 | 1062 | Constructor |
|
|
1063 | 1063 | ''' |
|
|
1064 | 1064 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
1065 | 1065 | |
|
|
1066 | 1066 | self.systemHeaderObj = SystemHeader() |
|
|
1067 | 1067 | |
|
|
1068 | 1068 | self.type = "Parameters" |
|
|
1069 | 1069 | |
|
|
1070 | 1070 | def getTimeRange1(self, interval): |
|
|
1071 | 1071 | |
|
|
1072 | 1072 | datatime = [] |
|
|
1073 | 1073 | |
|
|
1074 | 1074 | if self.useLocalTime: |
|
|
1075 | 1075 | time1 = self.utctimeInit - self.timeZone * 60 |
|
|
1076 | 1076 | else: |
|
|
1077 | 1077 | time1 = self.utctimeInit |
|
|
1078 | 1078 | |
|
|
1079 | 1079 | datatime.append(time1) |
|
|
1080 | 1080 | datatime.append(time1 + interval) |
|
|
1081 | 1081 | datatime = numpy.array(datatime) |
|
|
1082 | 1082 | |
|
|
1083 | 1083 | return datatime |
|
|
1084 | 1084 | |
|
|
1085 | 1085 | def getTimeInterval(self): |
|
|
1086 | 1086 | |
|
|
1087 | 1087 | if hasattr(self, 'timeInterval1'): |
|
|
1088 | 1088 | return self.timeInterval1 |
|
|
1089 | 1089 | else: |
|
|
1090 | 1090 | return self.paramInterval |
|
|
1091 | 1091 | |
|
|
1092 | 1092 | def setValue(self, value): |
|
|
1093 | 1093 | |
|
|
1094 | 1094 | print("This property should not be initialized") |
|
|
1095 | 1095 | |
|
|
1096 | 1096 | return |
|
|
1097 | 1097 | |
|
|
1098 | 1098 | def getNoise(self): |
|
|
1099 | 1099 | |
|
|
1100 | 1100 | return self.spc_noise |
|
|
1101 | 1101 | |
|
|
1102 | 1102 | timeInterval = property(getTimeInterval) |
|
|
1103 | 1103 | noise = property(getNoise, setValue, "I'm the 'Noise' property.") |
|
|
1104 | 1104 | |
|
|
1105 | 1105 | |
|
|
1106 | 1106 | class PlotterData(object): |
|
|
1107 | 1107 | ''' |
|
|
1108 | 1108 | Object to hold data to be plotted |
|
|
1109 | 1109 | ''' |
|
|
1110 | 1110 | |
|
|
1111 | 1111 | MAXNUMX = 200 |
|
|
1112 | 1112 | MAXNUMY = 200 |
|
|
1113 | 1113 | |
|
|
1114 | 1114 | def __init__(self, code, throttle_value, exp_code, buffering=True, snr=False): |
|
|
1115 | 1115 | |
|
|
1116 | 1116 | self.key = code |
|
|
1117 | 1117 | self.throttle = throttle_value |
|
|
1118 | 1118 | self.exp_code = exp_code |
|
|
1119 | 1119 | self.buffering = buffering |
|
|
1120 | 1120 | self.ready = False |
|
|
1121 | 1121 | self.flagNoData = False |
|
|
1122 | 1122 | self.localtime = False |
|
|
1123 | 1123 | self.data = {} |
|
|
1124 | 1124 | self.meta = {} |
|
|
1125 | self.__times = [] | |
|
|
1126 | 1125 | self.__heights = [] |
|
|
1127 | 1126 | |
|
|
1128 | 1127 | if 'snr' in code: |
|
|
1129 | 1128 | self.plottypes = ['snr'] |
|
|
1130 | 1129 | elif code == 'spc': |
|
|
1131 | 1130 | self.plottypes = ['spc', 'noise', 'rti'] |
|
|
1131 | elif code == 'cspc': | |
|
|
1132 | self.plottypes = ['cspc', 'spc', 'noise', 'rti'] | |
|
|
1132 | 1133 | elif code == 'rti': |
|
|
1133 | 1134 | self.plottypes = ['noise', 'rti'] |
|
|
1134 | 1135 | else: |
|
|
1135 | 1136 | self.plottypes = [code] |
|
|
1136 | 1137 | |
|
|
1137 | 1138 | if 'snr' not in self.plottypes and snr: |
|
|
1138 | 1139 | self.plottypes.append('snr') |
|
|
1139 | 1140 | |
|
|
1140 | 1141 | for plot in self.plottypes: |
|
|
1141 | 1142 | self.data[plot] = {} |
|
|
1142 | 1143 | |
|
|
1143 | 1144 | |
|
|
1144 | 1145 | def __str__(self): |
|
|
1145 | 1146 | dum = ['{}{}'.format(key, self.shape(key)) for key in self.data] |
|
|
1146 |
return 'Data[{}][{}]'.format(';'.join(dum), len(self. |
|
|
|
1147 | return 'Data[{}][{}]'.format(';'.join(dum), len(self.times)) | |
|
|
1147 | 1148 | |
|
|
1148 | 1149 | def __len__(self): |
|
|
1149 |
return len(self. |
|
|
|
1150 | return len(self.data[self.key]) | |
|
|
1150 | 1151 | |
|
|
1151 | 1152 | def __getitem__(self, key): |
|
|
1152 | 1153 | |
|
|
1153 | 1154 | if key not in self.data: |
|
|
1154 | 1155 | raise KeyError(log.error('Missing key: {}'.format(key))) |
|
|
1155 | 1156 | if 'spc' in key or not self.buffering: |
|
|
1156 | ret = self.data[key] | |
|
|
1157 | ret = self.data[key][self.tm] | |
|
|
1157 | 1158 | elif 'scope' in key: |
|
|
1158 | 1159 | ret = numpy.array(self.data[key][float(self.tm)]) |
|
|
1159 | 1160 | else: |
|
|
1160 | 1161 | ret = numpy.array([self.data[key][x] for x in self.times]) |
|
|
1161 | 1162 | if ret.ndim > 1: |
|
|
1162 | 1163 | ret = numpy.swapaxes(ret, 0, 1) |
|
|
1163 | 1164 | return ret |
|
|
1164 | 1165 | |
|
|
1165 | 1166 | def __contains__(self, key): |
|
|
1166 | 1167 | return key in self.data |
|
|
1167 | 1168 | |
|
|
1168 | 1169 | def setup(self): |
|
|
1169 | 1170 | ''' |
|
|
1170 | 1171 | Configure object |
|
|
1171 | 1172 | ''' |
|
|
1172 | 1173 | self.type = '' |
|
|
1173 | 1174 | self.ready = False |
|
|
1175 | del self.data | |
|
|
1174 | 1176 | self.data = {} |
|
|
1175 | self.__times = [] | |
|
|
1176 | 1177 | self.__heights = [] |
|
|
1177 | 1178 | self.__all_heights = set() |
|
|
1178 | 1179 | for plot in self.plottypes: |
|
|
1179 | 1180 | if 'snr' in plot: |
|
|
1180 | 1181 | plot = 'snr' |
|
|
1181 | 1182 | elif 'spc_moments' == plot: |
|
|
1182 | 1183 | plot = 'moments' |
|
|
1183 | 1184 | self.data[plot] = {} |
|
|
1184 | 1185 | |
|
|
1185 | 1186 | if 'spc' in self.data or 'rti' in self.data or 'cspc' in self.data or 'moments' in self.data: |
|
|
1186 | 1187 | self.data['noise'] = {} |
|
|
1187 | 1188 | self.data['rti'] = {} |
|
|
1188 | 1189 | if 'noise' not in self.plottypes: |
|
|
1189 | 1190 | self.plottypes.append('noise') |
|
|
1190 | 1191 | if 'rti' not in self.plottypes: |
|
|
1191 | 1192 | self.plottypes.append('rti') |
|
|
1192 | 1193 | |
|
|
1193 | 1194 | def shape(self, key): |
|
|
1194 | 1195 | ''' |
|
|
1195 | 1196 | Get the shape of the one-element data for the given key |
|
|
1196 | 1197 | ''' |
|
|
1197 | 1198 | |
|
|
1198 | 1199 | if len(self.data[key]): |
|
|
1199 | 1200 | if 'spc' in key or not self.buffering: |
|
|
1200 | 1201 | return self.data[key].shape |
|
|
1201 |
return self.data[key][self. |
|
|
|
1202 | return self.data[key][self.times[0]].shape | |
|
|
1202 | 1203 | return (0,) |
|
|
1203 | 1204 | |
|
|
1204 | 1205 | def update(self, dataOut, tm): |
|
|
1205 | 1206 | ''' |
|
|
1206 | 1207 | Update data object with new dataOut |
|
|
1207 | 1208 | ''' |
|
|
1208 | if tm in self.__times: | |
|
|
1209 | return | |
|
|
1209 | ||
|
|
1210 | 1210 | self.profileIndex = dataOut.profileIndex |
|
|
1211 | 1211 | self.tm = tm |
|
|
1212 | 1212 | self.type = dataOut.type |
|
|
1213 | 1213 | self.parameters = getattr(dataOut, 'parameters', []) |
|
|
1214 | 1214 | |
|
|
1215 | 1215 | if hasattr(dataOut, 'meta'): |
|
|
1216 | 1216 | self.meta.update(dataOut.meta) |
|
|
1217 | 1217 | |
|
|
1218 | 1218 | if hasattr(dataOut, 'pairsList'): |
|
|
1219 | 1219 | self.pairs = dataOut.pairsList |
|
|
1220 | 1220 | |
|
|
1221 | 1221 | self.interval = dataOut.getTimeInterval() |
|
|
1222 | 1222 | self.localtime = dataOut.useLocalTime |
|
|
1223 | 1223 | if True in ['spc' in ptype for ptype in self.plottypes]: |
|
|
1224 | 1224 | self.xrange = (dataOut.getFreqRange(1)/1000., |
|
|
1225 | 1225 | dataOut.getAcfRange(1), dataOut.getVelRange(1)) |
|
|
1226 | self.factor = dataOut.normFactor | |
|
|
1227 | 1226 | self.__heights.append(dataOut.heightList) |
|
|
1228 | 1227 | self.__all_heights.update(dataOut.heightList) |
|
|
1229 | self.__times.append(tm) | |
|
|
1228 | ||
|
|
1230 | 1229 | for plot in self.plottypes: |
|
|
1231 | 1230 | if plot in ('spc', 'spc_moments', 'spc_cut'): |
|
|
1232 | 1231 | z = dataOut.data_spc/dataOut.normFactor |
|
|
1233 | 1232 | buffer = 10*numpy.log10(z) |
|
|
1234 | 1233 | if plot == 'cspc': |
|
|
1235 | z = dataOut.data_spc/dataOut.normFactor | |
|
|
1236 | 1234 | buffer = (dataOut.data_spc, dataOut.data_cspc) |
|
|
1237 | 1235 | if plot == 'noise': |
|
|
1238 | 1236 | buffer = 10*numpy.log10(dataOut.getNoise()/dataOut.normFactor) |
|
|
1239 | 1237 | if plot in ('rti', 'spcprofile'): |
|
|
1240 | 1238 | buffer = dataOut.getPower() |
|
|
1241 | 1239 | if plot == 'snr_db': |
|
|
1242 | 1240 | buffer = dataOut.data_SNR |
|
|
1243 | 1241 | if plot == 'snr': |
|
|
1244 | 1242 | buffer = 10*numpy.log10(dataOut.data_SNR) |
|
|
1245 | 1243 | if plot == 'dop': |
|
|
1246 | 1244 | buffer = dataOut.data_DOP |
|
|
1247 | 1245 | if plot == 'pow': |
|
|
1248 | 1246 | buffer = 10*numpy.log10(dataOut.data_POW) |
|
|
1249 | 1247 | if plot == 'width': |
|
|
1250 | 1248 | buffer = dataOut.data_WIDTH |
|
|
1251 | 1249 | if plot == 'coh': |
|
|
1252 | 1250 | buffer = dataOut.getCoherence() |
|
|
1253 | 1251 | if plot == 'phase': |
|
|
1254 | 1252 | buffer = dataOut.getCoherence(phase=True) |
|
|
1255 | 1253 | if plot == 'output': |
|
|
1256 | 1254 | buffer = dataOut.data_output |
|
|
1257 | 1255 | if plot == 'param': |
|
|
1258 | 1256 | buffer = dataOut.data_param |
|
|
1259 | 1257 | if plot == 'scope': |
|
|
1260 | 1258 | buffer = dataOut.data |
|
|
1261 | 1259 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1262 | 1260 | self.nProfiles = dataOut.nProfiles |
|
|
1263 | 1261 | if plot == 'pp_power': |
|
|
1264 | 1262 | buffer = dataOut.data_intensity |
|
|
1265 | 1263 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1266 | 1264 | self.nProfiles = dataOut.nProfiles |
|
|
1267 | 1265 | if plot == 'pp_velocity': |
|
|
1268 | 1266 | buffer = dataOut.data_velocity |
|
|
1269 | 1267 | self.flagDataAsBlock = dataOut.flagDataAsBlock |
|
|
1270 | 1268 | self.nProfiles = dataOut.nProfiles |
|
|
1271 | 1269 | |
|
|
1272 | 1270 | if plot == 'spc': |
|
|
1273 | self.data['spc'] = buffer | |
|
|
1271 | self.data['spc'][tm] = buffer | |
|
|
1274 | 1272 | elif plot == 'cspc': |
|
|
1275 |
self.data['spc'] = buffer |
|
|
|
1276 | self.data['cspc'] = buffer[1] | |
|
|
1273 | self.data['cspc'][tm] = buffer | |
|
|
1277 | 1274 | elif plot == 'spc_moments': |
|
|
1278 | self.data['spc'] = buffer | |
|
|
1275 | self.data['spc'][tm] = buffer | |
|
|
1279 | 1276 | self.data['moments'][tm] = dataOut.moments |
|
|
1280 | 1277 | else: |
|
|
1281 | 1278 | if self.buffering: |
|
|
1282 | 1279 | self.data[plot][tm] = buffer |
|
|
1283 | 1280 | else: |
|
|
1284 | self.data[plot] = buffer | |
|
|
1281 | self.data[plot][tm] = buffer | |
|
|
1285 | 1282 | |
|
|
1286 | 1283 | if dataOut.channelList is None: |
|
|
1287 | 1284 | self.channels = range(buffer.shape[0]) |
|
|
1288 | 1285 | else: |
|
|
1289 | 1286 | self.channels = dataOut.channelList |
|
|
1290 | 1287 | |
|
|
1291 | 1288 | if buffer is None: |
|
|
1292 | 1289 | self.flagNoData = True |
|
|
1293 | 1290 | raise schainpy.admin.SchainWarning('Attribute data_{} is empty'.format(self.key)) |
|
|
1294 | 1291 | |
|
|
1295 | 1292 | def normalize_heights(self): |
|
|
1296 | 1293 | ''' |
|
|
1297 | 1294 | Ensure same-dimension of the data for different heighList |
|
|
1298 | 1295 | ''' |
|
|
1299 | 1296 | |
|
|
1300 | 1297 | H = numpy.array(list(self.__all_heights)) |
|
|
1301 | 1298 | H.sort() |
|
|
1302 | 1299 | for key in self.data: |
|
|
1303 | 1300 | shape = self.shape(key)[:-1] + H.shape |
|
|
1304 | 1301 | for tm, obj in list(self.data[key].items()): |
|
|
1305 |
h = self.__heights[self. |
|
|
|
1302 | h = self.__heights[self.times.index(tm)] | |
|
|
1306 | 1303 | if H.size == h.size: |
|
|
1307 | 1304 | continue |
|
|
1308 | 1305 | index = numpy.where(numpy.in1d(H, h))[0] |
|
|
1309 | 1306 | dummy = numpy.zeros(shape) + numpy.nan |
|
|
1310 | 1307 | if len(shape) == 2: |
|
|
1311 | 1308 | dummy[:, index] = obj |
|
|
1312 | 1309 | else: |
|
|
1313 | 1310 | dummy[index] = obj |
|
|
1314 | 1311 | self.data[key][tm] = dummy |
|
|
1315 | 1312 | |
|
|
1316 |
self.__heights = [H for tm in self. |
|
|
|
1313 | self.__heights = [H for tm in self.times] | |
|
|
1317 | 1314 | |
|
|
1318 | def jsonify(self, plot_name, plot_type, decimate=False): | |
|
|
1315 | def jsonify(self, tm, plot_name, plot_type, decimate=False): | |
|
|
1319 | 1316 | ''' |
|
|
1320 | 1317 | Convert data to json |
|
|
1321 | 1318 | ''' |
|
|
1322 | 1319 | |
|
|
1323 | tm = self.times[-1] | |
|
|
1324 | 1320 | dy = int(self.heights.size/self.MAXNUMY) + 1 |
|
|
1325 |
if self.key in ('spc', 'cspc') |
|
|
|
1326 | dx = int(self.data[self.key].shape[1]/self.MAXNUMX) + 1 | |
|
|
1321 | if self.key in ('spc', 'cspc'): | |
|
|
1322 | dx = int(self.data[self.key][tm].shape[1]/self.MAXNUMX) + 1 | |
|
|
1327 | 1323 | data = self.roundFloats( |
|
|
1328 | self.data[self.key][::, ::dx, ::dy].tolist()) | |
|
|
1324 | self.data[self.key][tm][::, ::dx, ::dy].tolist()) | |
|
|
1329 | 1325 | else: |
|
|
1330 | 1326 | if self.key is 'noise': |
|
|
1331 | 1327 | data = [[x] for x in self.roundFloats(self.data[self.key][tm].tolist())] |
|
|
1332 | 1328 | else: |
|
|
1333 | 1329 | data = self.roundFloats(self.data[self.key][tm][::, ::dy].tolist()) |
|
|
1334 | 1330 | |
|
|
1335 | 1331 | meta = {} |
|
|
1336 | 1332 | ret = { |
|
|
1337 | 1333 | 'plot': plot_name, |
|
|
1338 | 1334 | 'code': self.exp_code, |
|
|
1339 | 1335 | 'time': float(tm), |
|
|
1340 | 1336 | 'data': data, |
|
|
1341 | 1337 | } |
|
|
1342 | 1338 | meta['type'] = plot_type |
|
|
1343 | 1339 | meta['interval'] = float(self.interval) |
|
|
1344 | 1340 | meta['localtime'] = self.localtime |
|
|
1345 | 1341 | meta['yrange'] = self.roundFloats(self.heights[::dy].tolist()) |
|
|
1346 | 1342 | if 'spc' in self.data or 'cspc' in self.data: |
|
|
1347 | 1343 | meta['xrange'] = self.roundFloats(self.xrange[2][::dx].tolist()) |
|
|
1348 | 1344 | else: |
|
|
1349 | 1345 | meta['xrange'] = [] |
|
|
1350 | 1346 | |
|
|
1351 | 1347 | meta.update(self.meta) |
|
|
1352 | 1348 | ret['metadata'] = meta |
|
|
1353 | 1349 | return json.dumps(ret) |
|
|
1354 | 1350 | |
|
|
1355 | 1351 | @property |
|
|
1356 | 1352 | def times(self): |
|
|
1357 | 1353 | ''' |
|
|
1358 | 1354 | Return the list of times of the current data |
|
|
1359 | 1355 | ''' |
|
|
1360 | 1356 | |
|
|
1361 |
ret = numpy.array(self. |
|
|
|
1362 | ret.sort() | |
|
|
1357 | ret = numpy.array([*self.data[self.key]]) | |
|
|
1358 | if self: | |
|
|
1359 | ret.sort() | |
|
|
1363 | 1360 | return ret |
|
|
1364 | 1361 | |
|
|
1365 | 1362 | @property |
|
|
1366 | 1363 | def min_time(self): |
|
|
1367 | 1364 | ''' |
|
|
1368 | 1365 | Return the minimun time value |
|
|
1369 | 1366 | ''' |
|
|
1370 | 1367 | |
|
|
1371 | 1368 | return self.times[0] |
|
|
1372 | 1369 | |
|
|
1373 | 1370 | @property |
|
|
1374 | 1371 | def max_time(self): |
|
|
1375 | 1372 | ''' |
|
|
1376 | 1373 | Return the maximun time value |
|
|
1377 | 1374 | ''' |
|
|
1378 | 1375 | |
|
|
1379 | 1376 | return self.times[-1] |
|
|
1380 | 1377 | |
|
|
1381 | 1378 | @property |
|
|
1382 | 1379 | def heights(self): |
|
|
1383 | 1380 | ''' |
|
|
1384 | 1381 | Return the list of heights of the current data |
|
|
1385 | 1382 | ''' |
|
|
1386 | 1383 | |
|
|
1387 | 1384 | return numpy.array(self.__heights[-1]) |
|
|
1388 | 1385 | |
|
|
1389 | 1386 | @staticmethod |
|
|
1390 | 1387 | def roundFloats(obj): |
|
|
1391 | 1388 | if isinstance(obj, list): |
|
|
1392 | 1389 | return list(map(PlotterData.roundFloats, obj)) |
|
|
1393 | 1390 | elif isinstance(obj, float): |
|
|
1394 | 1391 | return round(obj, 2) |
| @@ -1,705 +1,717 | |||
|
|
1 | 1 | |
|
|
2 | 2 | import os |
|
|
3 | 3 | import sys |
|
|
4 | 4 | import zmq |
|
|
5 | 5 | import time |
|
|
6 | 6 | import numpy |
|
|
7 | 7 | import datetime |
|
|
8 | 8 | from queue import Queue |
|
|
9 | 9 | from functools import wraps |
|
|
10 | 10 | from threading import Thread |
|
|
11 | 11 | import matplotlib |
|
|
12 | 12 | |
|
|
13 | 13 | if 'BACKEND' in os.environ: |
|
|
14 | 14 | matplotlib.use(os.environ['BACKEND']) |
|
|
15 | 15 | elif 'linux' in sys.platform: |
|
|
16 | 16 | matplotlib.use("TkAgg") |
|
|
17 | 17 | elif 'darwin' in sys.platform: |
|
|
18 | 18 | matplotlib.use('WxAgg') |
|
|
19 | 19 | else: |
|
|
20 | 20 | from schainpy.utils import log |
|
|
21 | 21 | log.warning('Using default Backend="Agg"', 'INFO') |
|
|
22 | 22 | matplotlib.use('Agg') |
|
|
23 | 23 | |
|
|
24 | 24 | import matplotlib.pyplot as plt |
|
|
25 | 25 | from matplotlib.patches import Polygon |
|
|
26 | 26 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
|
27 | 27 | from matplotlib.ticker import FuncFormatter, LinearLocator, MultipleLocator |
|
|
28 | 28 | |
|
|
29 | 29 | from schainpy.model.data.jrodata import PlotterData |
|
|
30 | 30 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
|
31 | 31 | from schainpy.utils import log |
|
|
32 | 32 | |
|
|
33 | 33 | jet_values = matplotlib.pyplot.get_cmap('jet', 100)(numpy.arange(100))[10:90] |
|
|
34 | 34 | blu_values = matplotlib.pyplot.get_cmap( |
|
|
35 | 35 | 'seismic_r', 20)(numpy.arange(20))[10:15] |
|
|
36 | 36 | ncmap = matplotlib.colors.LinearSegmentedColormap.from_list( |
|
|
37 | 37 | 'jro', numpy.vstack((blu_values, jet_values))) |
|
|
38 | 38 | matplotlib.pyplot.register_cmap(cmap=ncmap) |
|
|
39 | 39 | |
|
|
40 | 40 | CMAPS = [plt.get_cmap(s) for s in ('jro', 'jet', 'viridis', |
|
|
41 | 41 | 'plasma', 'inferno', 'Greys', 'seismic', 'bwr', 'coolwarm')] |
|
|
42 | 42 | |
|
|
43 | 43 | EARTH_RADIUS = 6.3710e3 |
|
|
44 | 44 | |
|
|
45 | 45 | def ll2xy(lat1, lon1, lat2, lon2): |
|
|
46 | 46 | |
|
|
47 | 47 | p = 0.017453292519943295 |
|
|
48 | 48 | a = 0.5 - numpy.cos((lat2 - lat1) * p)/2 + numpy.cos(lat1 * p) * \ |
|
|
49 | 49 | numpy.cos(lat2 * p) * (1 - numpy.cos((lon2 - lon1) * p)) / 2 |
|
|
50 | 50 | r = 12742 * numpy.arcsin(numpy.sqrt(a)) |
|
|
51 | 51 | theta = numpy.arctan2(numpy.sin((lon2-lon1)*p)*numpy.cos(lat2*p), numpy.cos(lat1*p) |
|
|
52 | 52 | * numpy.sin(lat2*p)-numpy.sin(lat1*p)*numpy.cos(lat2*p)*numpy.cos((lon2-lon1)*p)) |
|
|
53 | 53 | theta = -theta + numpy.pi/2 |
|
|
54 | 54 | return r*numpy.cos(theta), r*numpy.sin(theta) |
|
|
55 | 55 | |
|
|
56 | 56 | |
|
|
57 | 57 | def km2deg(km): |
|
|
58 | 58 | ''' |
|
|
59 | 59 | Convert distance in km to degrees |
|
|
60 | 60 | ''' |
|
|
61 | 61 | |
|
|
62 | 62 | return numpy.rad2deg(km/EARTH_RADIUS) |
|
|
63 | 63 | |
|
|
64 | 64 | |
|
|
65 | 65 | def figpause(interval): |
|
|
66 | 66 | backend = plt.rcParams['backend'] |
|
|
67 | 67 | if backend in matplotlib.rcsetup.interactive_bk: |
|
|
68 | 68 | figManager = matplotlib._pylab_helpers.Gcf.get_active() |
|
|
69 | 69 | if figManager is not None: |
|
|
70 | 70 | canvas = figManager.canvas |
|
|
71 | 71 | if canvas.figure.stale: |
|
|
72 | 72 | canvas.draw() |
|
|
73 | 73 | try: |
|
|
74 | 74 | canvas.start_event_loop(interval) |
|
|
75 | 75 | except: |
|
|
76 | 76 | pass |
|
|
77 | 77 | return |
|
|
78 | 78 | |
|
|
79 | 79 | |
|
|
80 | 80 | def popup(message): |
|
|
81 | 81 | ''' |
|
|
82 | 82 | ''' |
|
|
83 | 83 | |
|
|
84 | 84 | fig = plt.figure(figsize=(12, 8), facecolor='r') |
|
|
85 | 85 | text = '\n'.join([s.strip() for s in message.split(':')]) |
|
|
86 | 86 | fig.text(0.01, 0.5, text, ha='left', va='center', |
|
|
87 | 87 | size='20', weight='heavy', color='w') |
|
|
88 | 88 | fig.show() |
|
|
89 | 89 | figpause(1000) |
|
|
90 | 90 | |
|
|
91 | 91 | |
|
|
92 | 92 | class Throttle(object): |
|
|
93 | 93 | ''' |
|
|
94 | 94 | Decorator that prevents a function from being called more than once every |
|
|
95 | 95 | time period. |
|
|
96 | 96 | To create a function that cannot be called more than once a minute, but |
|
|
97 | 97 | will sleep until it can be called: |
|
|
98 | 98 | @Throttle(minutes=1) |
|
|
99 | 99 | def foo(): |
|
|
100 | 100 | pass |
|
|
101 | 101 | |
|
|
102 | 102 | for i in range(10): |
|
|
103 | 103 | foo() |
|
|
104 | 104 | print "This function has run %s times." % i |
|
|
105 | 105 | ''' |
|
|
106 | 106 | |
|
|
107 | 107 | def __init__(self, seconds=0, minutes=0, hours=0): |
|
|
108 | 108 | self.throttle_period = datetime.timedelta( |
|
|
109 | 109 | seconds=seconds, minutes=minutes, hours=hours |
|
|
110 | 110 | ) |
|
|
111 | 111 | |
|
|
112 | 112 | self.time_of_last_call = datetime.datetime.min |
|
|
113 | 113 | |
|
|
114 | 114 | def __call__(self, fn): |
|
|
115 | 115 | @wraps(fn) |
|
|
116 | 116 | def wrapper(*args, **kwargs): |
|
|
117 | 117 | coerce = kwargs.pop('coerce', None) |
|
|
118 | 118 | if coerce: |
|
|
119 | 119 | self.time_of_last_call = datetime.datetime.now() |
|
|
120 | 120 | return fn(*args, **kwargs) |
|
|
121 | 121 | else: |
|
|
122 | 122 | now = datetime.datetime.now() |
|
|
123 | 123 | time_since_last_call = now - self.time_of_last_call |
|
|
124 | 124 | time_left = self.throttle_period - time_since_last_call |
|
|
125 | 125 | |
|
|
126 | 126 | if time_left > datetime.timedelta(seconds=0): |
|
|
127 | 127 | return |
|
|
128 | 128 | |
|
|
129 | 129 | self.time_of_last_call = datetime.datetime.now() |
|
|
130 | 130 | return fn(*args, **kwargs) |
|
|
131 | 131 | |
|
|
132 | 132 | return wrapper |
|
|
133 | 133 | |
|
|
134 | 134 | def apply_throttle(value): |
|
|
135 | 135 | |
|
|
136 | 136 | @Throttle(seconds=value) |
|
|
137 | 137 | def fnThrottled(fn): |
|
|
138 | 138 | fn() |
|
|
139 | 139 | |
|
|
140 | 140 | return fnThrottled |
|
|
141 | 141 | |
|
|
142 | 142 | |
|
|
143 | 143 | @MPDecorator |
|
|
144 | 144 | class Plot(Operation): |
|
|
145 | 145 | ''' |
|
|
146 | 146 | Base class for Schain plotting operations |
|
|
147 | 147 | ''' |
|
|
148 | 148 | |
|
|
149 | 149 | CODE = 'Figure' |
|
|
150 | 150 | colormap = 'jet' |
|
|
151 | 151 | bgcolor = 'white' |
|
|
152 | 152 | buffering = True |
|
|
153 | 153 | __missing = 1E30 |
|
|
154 | 154 | |
|
|
155 | 155 | __attrs__ = ['show', 'save', 'ymin', 'ymax', 'zmin', 'zmax', 'title', |
|
|
156 | 156 | 'showprofile'] |
|
|
157 | 157 | |
|
|
158 | 158 | def __init__(self): |
|
|
159 | 159 | |
|
|
160 | 160 | Operation.__init__(self) |
|
|
161 | 161 | self.isConfig = False |
|
|
162 | 162 | self.isPlotConfig = False |
|
|
163 | 163 | self.save_counter = 1 |
|
|
164 | 164 | self.sender_time = 0 |
|
|
165 | 165 | self.data = None |
|
|
166 | 166 | self.firsttime = True |
|
|
167 | 167 | self.sender_queue = Queue(maxsize=10) |
|
|
168 | 168 | self.plots_adjust = {'left': 0.125, 'right': 0.9, 'bottom': 0.15, 'top': 0.9, 'wspace': 0.2, 'hspace': 0.2} |
|
|
169 | 169 | |
|
|
170 | 170 | def __fmtTime(self, x, pos): |
|
|
171 | 171 | ''' |
|
|
172 | 172 | ''' |
|
|
173 | 173 | |
|
|
174 | 174 | return '{}'.format(self.getDateTime(x).strftime('%H:%M')) |
|
|
175 | 175 | |
|
|
176 | 176 | def __setup(self, **kwargs): |
|
|
177 | 177 | ''' |
|
|
178 | 178 | Initialize variables |
|
|
179 | 179 | ''' |
|
|
180 | 180 | |
|
|
181 | 181 | self.figures = [] |
|
|
182 | 182 | self.axes = [] |
|
|
183 | 183 | self.cb_axes = [] |
|
|
184 | 184 | self.localtime = kwargs.pop('localtime', True) |
|
|
185 | 185 | self.show = kwargs.get('show', True) |
|
|
186 | 186 | self.save = kwargs.get('save', False) |
|
|
187 | 187 | self.save_period = kwargs.get('save_period', 1) |
|
|
188 | 188 | self.ftp = kwargs.get('ftp', False) |
|
|
189 | 189 | self.colormap = kwargs.get('colormap', self.colormap) |
|
|
190 | 190 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') |
|
|
191 | 191 | self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') |
|
|
192 | 192 | self.colormaps = kwargs.get('colormaps', None) |
|
|
193 | 193 | self.bgcolor = kwargs.get('bgcolor', self.bgcolor) |
|
|
194 | 194 | self.showprofile = kwargs.get('showprofile', False) |
|
|
195 | 195 | self.title = kwargs.get('wintitle', self.CODE.upper()) |
|
|
196 | 196 | self.cb_label = kwargs.get('cb_label', None) |
|
|
197 | 197 | self.cb_labels = kwargs.get('cb_labels', None) |
|
|
198 | 198 | self.labels = kwargs.get('labels', None) |
|
|
199 | 199 | self.xaxis = kwargs.get('xaxis', 'frequency') |
|
|
200 | 200 | self.zmin = kwargs.get('zmin', None) |
|
|
201 | 201 | self.zmax = kwargs.get('zmax', None) |
|
|
202 | 202 | self.zlimits = kwargs.get('zlimits', None) |
|
|
203 | 203 | self.xmin = kwargs.get('xmin', None) |
|
|
204 | 204 | self.xmax = kwargs.get('xmax', None) |
|
|
205 |
self.xrange = kwargs.get('xrange', 2 |
|
|
|
205 | self.xrange = kwargs.get('xrange', 12) | |
|
|
206 | 206 | self.xscale = kwargs.get('xscale', None) |
|
|
207 | 207 | self.ymin = kwargs.get('ymin', None) |
|
|
208 | 208 | self.ymax = kwargs.get('ymax', None) |
|
|
209 | 209 | self.yscale = kwargs.get('yscale', None) |
|
|
210 | 210 | self.xlabel = kwargs.get('xlabel', None) |
|
|
211 | 211 | self.attr_time = kwargs.get('attr_time', 'utctime') |
|
|
212 | 212 | self.decimation = kwargs.get('decimation', None) |
|
|
213 | 213 | self.showSNR = kwargs.get('showSNR', False) |
|
|
214 | 214 | self.oneFigure = kwargs.get('oneFigure', True) |
|
|
215 | 215 | self.width = kwargs.get('width', None) |
|
|
216 | 216 | self.height = kwargs.get('height', None) |
|
|
217 | 217 | self.colorbar = kwargs.get('colorbar', True) |
|
|
218 | 218 | self.factors = kwargs.get('factors', [1, 1, 1, 1, 1, 1, 1, 1]) |
|
|
219 | 219 | self.channels = kwargs.get('channels', None) |
|
|
220 | 220 | self.titles = kwargs.get('titles', []) |
|
|
221 | 221 | self.polar = False |
|
|
222 | 222 | self.type = kwargs.get('type', 'iq') |
|
|
223 | 223 | self.grid = kwargs.get('grid', False) |
|
|
224 | 224 | self.pause = kwargs.get('pause', False) |
|
|
225 | 225 | self.save_code = kwargs.get('save_code', None) |
|
|
226 | 226 | self.realtime = kwargs.get('realtime', True) |
|
|
227 | 227 | self.throttle = kwargs.get('throttle', 0) |
|
|
228 | 228 | self.exp_code = kwargs.get('exp_code', None) |
|
|
229 | 229 | self.plot_server = kwargs.get('plot_server', False) |
|
|
230 | 230 | self.sender_period = kwargs.get('sender_period', 60) |
|
|
231 | self.tag = kwargs.get('tag', '') | |
|
|
231 | 232 | self.height_index = kwargs.get('height_index', None) |
|
|
232 | 233 | self.__throttle_plot = apply_throttle(self.throttle) |
|
|
233 | 234 | self.data = PlotterData( |
|
|
234 | 235 | self.CODE, self.throttle, self.exp_code, self.buffering, snr=self.showSNR) |
|
|
235 | 236 | |
|
|
236 | 237 | if self.plot_server: |
|
|
237 | 238 | if not self.plot_server.startswith('tcp://'): |
|
|
238 | 239 | self.plot_server = 'tcp://{}'.format(self.plot_server) |
|
|
239 | 240 | log.success( |
|
|
240 | 241 | 'Sending to server: {}'.format(self.plot_server), |
|
|
241 | 242 | self.name |
|
|
242 | 243 | ) |
|
|
243 | 244 | if 'plot_name' in kwargs: |
|
|
244 | 245 | self.plot_name = kwargs['plot_name'] |
|
|
245 | 246 | |
|
|
246 | 247 | def __setup_plot(self): |
|
|
247 | 248 | ''' |
|
|
248 | 249 | Common setup for all figures, here figures and axes are created |
|
|
249 | 250 | ''' |
|
|
250 | 251 | |
|
|
251 | 252 | self.setup() |
|
|
252 | 253 | |
|
|
253 | 254 | self.time_label = 'LT' if self.localtime else 'UTC' |
|
|
254 | 255 | |
|
|
255 | 256 | if self.width is None: |
|
|
256 | 257 | self.width = 8 |
|
|
257 | 258 | |
|
|
258 | 259 | self.figures = [] |
|
|
259 | 260 | self.axes = [] |
|
|
260 | 261 | self.cb_axes = [] |
|
|
261 | 262 | self.pf_axes = [] |
|
|
262 | 263 | self.cmaps = [] |
|
|
263 | 264 | |
|
|
264 | 265 | size = '15%' if self.ncols == 1 else '30%' |
|
|
265 | 266 | pad = '4%' if self.ncols == 1 else '8%' |
|
|
266 | 267 | |
|
|
267 | 268 | if self.oneFigure: |
|
|
268 | 269 | if self.height is None: |
|
|
269 | 270 | self.height = 1.4 * self.nrows + 1 |
|
|
270 | 271 | fig = plt.figure(figsize=(self.width, self.height), |
|
|
271 | 272 | edgecolor='k', |
|
|
272 | 273 | facecolor='w') |
|
|
273 | 274 | self.figures.append(fig) |
|
|
274 | 275 | for n in range(self.nplots): |
|
|
275 | 276 | ax = fig.add_subplot(self.nrows, self.ncols, |
|
|
276 | 277 | n + 1, polar=self.polar) |
|
|
277 | 278 | ax.tick_params(labelsize=8) |
|
|
278 | 279 | ax.firsttime = True |
|
|
279 | 280 | ax.index = 0 |
|
|
280 | 281 | ax.press = None |
|
|
281 | 282 | self.axes.append(ax) |
|
|
282 | 283 | if self.showprofile: |
|
|
283 | 284 | cax = self.__add_axes(ax, size=size, pad=pad) |
|
|
284 | 285 | cax.tick_params(labelsize=8) |
|
|
285 | 286 | self.pf_axes.append(cax) |
|
|
286 | 287 | else: |
|
|
287 | 288 | if self.height is None: |
|
|
288 | 289 | self.height = 3 |
|
|
289 | 290 | for n in range(self.nplots): |
|
|
290 | 291 | fig = plt.figure(figsize=(self.width, self.height), |
|
|
291 | 292 | edgecolor='k', |
|
|
292 | 293 | facecolor='w') |
|
|
293 | 294 | ax = fig.add_subplot(1, 1, 1, polar=self.polar) |
|
|
294 | 295 | ax.tick_params(labelsize=8) |
|
|
295 | 296 | ax.firsttime = True |
|
|
296 | 297 | ax.index = 0 |
|
|
297 | 298 | ax.press = None |
|
|
298 | 299 | self.figures.append(fig) |
|
|
299 | 300 | self.axes.append(ax) |
|
|
300 | 301 | if self.showprofile: |
|
|
301 | 302 | cax = self.__add_axes(ax, size=size, pad=pad) |
|
|
302 | 303 | cax.tick_params(labelsize=8) |
|
|
303 | 304 | self.pf_axes.append(cax) |
|
|
304 | 305 | |
|
|
305 | 306 | for n in range(self.nrows): |
|
|
306 | 307 | if self.colormaps is not None: |
|
|
307 | 308 | cmap = plt.get_cmap(self.colormaps[n]) |
|
|
308 | 309 | else: |
|
|
309 | 310 | cmap = plt.get_cmap(self.colormap) |
|
|
310 | 311 | cmap.set_bad(self.bgcolor, 1.) |
|
|
311 | 312 | self.cmaps.append(cmap) |
|
|
312 | 313 | |
|
|
313 | 314 | def __add_axes(self, ax, size='30%', pad='8%'): |
|
|
314 | 315 | ''' |
|
|
315 | 316 | Add new axes to the given figure |
|
|
316 | 317 | ''' |
|
|
317 | 318 | divider = make_axes_locatable(ax) |
|
|
318 | 319 | nax = divider.new_horizontal(size=size, pad=pad) |
|
|
319 | 320 | ax.figure.add_axes(nax) |
|
|
320 | 321 | return nax |
|
|
321 | 322 | |
|
|
322 | 323 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): |
|
|
323 | 324 | ''' |
|
|
324 | 325 | Create a masked array for missing data |
|
|
325 | 326 | ''' |
|
|
326 | 327 | if x_buffer.shape[0] < 2: |
|
|
327 | 328 | return x_buffer, y_buffer, z_buffer |
|
|
328 | 329 | |
|
|
329 | 330 | deltas = x_buffer[1:] - x_buffer[0:-1] |
|
|
330 | 331 | x_median = numpy.median(deltas) |
|
|
331 | 332 | |
|
|
332 | 333 | index = numpy.where(deltas > 5 * x_median) |
|
|
333 | 334 | |
|
|
334 | 335 | if len(index[0]) != 0: |
|
|
335 | 336 | z_buffer[::, index[0], ::] = self.__missing |
|
|
336 | 337 | z_buffer = numpy.ma.masked_inside(z_buffer, |
|
|
337 | 338 | 0.99 * self.__missing, |
|
|
338 | 339 | 1.01 * self.__missing) |
|
|
339 | 340 | |
|
|
340 | 341 | return x_buffer, y_buffer, z_buffer |
|
|
341 | 342 | |
|
|
342 | 343 | def decimate(self): |
|
|
343 | 344 | |
|
|
344 | 345 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 |
|
|
345 | 346 | dy = int(len(self.y) / self.decimation) + 1 |
|
|
346 | 347 | |
|
|
347 | 348 | # x = self.x[::dx] |
|
|
348 | 349 | x = self.x |
|
|
349 | 350 | y = self.y[::dy] |
|
|
350 | 351 | z = self.z[::, ::, ::dy] |
|
|
351 | 352 | |
|
|
352 | 353 | return x, y, z |
|
|
353 | 354 | |
|
|
354 | 355 | def format(self): |
|
|
355 | 356 | ''' |
|
|
356 | 357 | Set min and max values, labels, ticks and titles |
|
|
357 | 358 | ''' |
|
|
358 | 359 | |
|
|
359 | 360 | if self.xmin is None: |
|
|
360 | 361 | xmin = self.data.min_time |
|
|
361 | 362 | else: |
|
|
362 | 363 | if self.xaxis is 'time': |
|
|
363 | 364 | dt = self.getDateTime(self.data.min_time) |
|
|
364 | 365 | xmin = (dt.replace(hour=int(self.xmin), minute=0, second=0) - |
|
|
365 | 366 | datetime.datetime(1970, 1, 1)).total_seconds() |
|
|
366 | 367 | if self.data.localtime: |
|
|
367 | 368 | xmin += time.timezone |
|
|
368 | 369 | else: |
|
|
369 | 370 | xmin = self.xmin |
|
|
370 | 371 | |
|
|
371 | 372 | if self.xmax is None: |
|
|
372 | 373 | xmax = xmin + self.xrange * 60 * 60 |
|
|
373 | 374 | else: |
|
|
374 | 375 | if self.xaxis is 'time': |
|
|
375 | 376 | dt = self.getDateTime(self.data.max_time) |
|
|
376 | 377 | xmax = self.xmax - 1 |
|
|
377 | 378 | xmax = (dt.replace(hour=int(xmax), minute=59, second=59) - |
|
|
378 | 379 | datetime.datetime(1970, 1, 1) + datetime.timedelta(seconds=1)).total_seconds() |
|
|
379 | 380 | if self.data.localtime: |
|
|
380 | 381 | xmax += time.timezone |
|
|
381 | 382 | else: |
|
|
382 | 383 | xmax = self.xmax |
|
|
383 | 384 | |
|
|
384 | 385 | ymin = self.ymin if self.ymin else numpy.nanmin(self.y) |
|
|
385 | 386 | ymax = self.ymax if self.ymax else numpy.nanmax(self.y) |
|
|
386 | 387 | |
|
|
387 | 388 | for n, ax in enumerate(self.axes): |
|
|
388 | 389 | if ax.firsttime: |
|
|
389 | 390 | |
|
|
390 | 391 | dig = int(numpy.log10(ymax)) |
|
|
391 | 392 | if dig == 0: |
|
|
392 | 393 | digD = len(str(ymax)) - 2 |
|
|
393 | 394 | ydec = ymax*(10**digD) |
|
|
394 | 395 | |
|
|
395 | 396 | dig = int(numpy.log10(ydec)) |
|
|
396 | 397 | ystep = ((ydec + (10**(dig)))//10**(dig))*(10**(dig)) |
|
|
397 | 398 | ystep = ystep/5 |
|
|
398 | 399 | ystep = ystep/(10**digD) |
|
|
399 | 400 | |
|
|
400 | 401 | else: |
|
|
401 | 402 | ystep = ((ymax + (10**(dig)))//10**(dig))*(10**(dig)) |
|
|
402 | 403 | ystep = ystep/5 |
|
|
403 | 404 | |
|
|
404 | 405 | if self.xaxis is not 'time': |
|
|
405 | 406 | |
|
|
406 | 407 | dig = int(numpy.log10(xmax)) |
|
|
407 | 408 | |
|
|
408 | 409 | if dig <= 0: |
|
|
409 | 410 | digD = len(str(xmax)) - 2 |
|
|
410 | 411 | xdec = xmax*(10**digD) |
|
|
411 | 412 | |
|
|
412 | 413 | dig = int(numpy.log10(xdec)) |
|
|
413 | 414 | xstep = ((xdec + (10**(dig)))//10**(dig))*(10**(dig)) |
|
|
414 | 415 | xstep = xstep*0.5 |
|
|
415 | 416 | xstep = xstep/(10**digD) |
|
|
416 | 417 | |
|
|
417 | 418 | else: |
|
|
418 | 419 | xstep = ((xmax + (10**(dig)))//10**(dig))*(10**(dig)) |
|
|
419 | 420 | xstep = xstep/5 |
|
|
420 | 421 | |
|
|
421 | 422 | ax.set_facecolor(self.bgcolor) |
|
|
422 | 423 | ax.yaxis.set_major_locator(MultipleLocator(ystep)) |
|
|
423 | 424 | if self.xscale: |
|
|
424 | 425 | ax.xaxis.set_major_formatter(FuncFormatter( |
|
|
425 | 426 | lambda x, pos: '{0:g}'.format(x*self.xscale))) |
|
|
426 | 427 | if self.xscale: |
|
|
427 | 428 | ax.yaxis.set_major_formatter(FuncFormatter( |
|
|
428 | 429 | lambda x, pos: '{0:g}'.format(x*self.yscale))) |
|
|
429 | 430 | if self.xaxis is 'time': |
|
|
430 | 431 | ax.xaxis.set_major_formatter(FuncFormatter(self.__fmtTime)) |
|
|
431 | 432 | ax.xaxis.set_major_locator(LinearLocator(9)) |
|
|
432 | 433 | else: |
|
|
433 | 434 | ax.xaxis.set_major_locator(MultipleLocator(xstep)) |
|
|
434 | 435 | if self.xlabel is not None: |
|
|
435 | 436 | ax.set_xlabel(self.xlabel) |
|
|
436 | 437 | ax.set_ylabel(self.ylabel) |
|
|
437 | 438 | ax.firsttime = False |
|
|
438 | 439 | if self.showprofile: |
|
|
439 | 440 | self.pf_axes[n].set_ylim(ymin, ymax) |
|
|
440 | 441 | self.pf_axes[n].set_xlim(self.zmin, self.zmax) |
|
|
441 | 442 | self.pf_axes[n].set_xlabel('dB') |
|
|
442 | 443 | self.pf_axes[n].grid(b=True, axis='x') |
|
|
443 | 444 | [tick.set_visible(False) |
|
|
444 | 445 | for tick in self.pf_axes[n].get_yticklabels()] |
|
|
445 | 446 | if self.colorbar: |
|
|
446 | 447 | ax.cbar = plt.colorbar( |
|
|
447 | 448 | ax.plt, ax=ax, fraction=0.05, pad=0.02, aspect=10) |
|
|
448 | 449 | ax.cbar.ax.tick_params(labelsize=8) |
|
|
449 | 450 | ax.cbar.ax.press = None |
|
|
450 | 451 | if self.cb_label: |
|
|
451 | 452 | ax.cbar.set_label(self.cb_label, size=8) |
|
|
452 | 453 | elif self.cb_labels: |
|
|
453 | 454 | ax.cbar.set_label(self.cb_labels[n], size=8) |
|
|
454 | 455 | else: |
|
|
455 | 456 | ax.cbar = None |
|
|
456 | 457 | if self.grid: |
|
|
457 | 458 | ax.grid(True) |
|
|
458 | 459 | |
|
|
459 | 460 | if not self.polar: |
|
|
460 | 461 | ax.set_xlim(xmin, xmax) |
|
|
461 | 462 | ax.set_ylim(ymin, ymax) |
|
|
462 | 463 | ax.set_title('{} {} {}'.format( |
|
|
463 | 464 | self.titles[n], |
|
|
464 | 465 | self.getDateTime(self.data.max_time).strftime( |
|
|
465 | 466 | '%Y-%m-%d %H:%M:%S'), |
|
|
466 | 467 | self.time_label), |
|
|
467 | 468 | size=8) |
|
|
468 | 469 | else: |
|
|
469 | 470 | ax.set_title('{}'.format(self.titles[n]), size=8) |
|
|
470 | 471 | ax.set_ylim(0, 90) |
|
|
471 | 472 | ax.set_yticks(numpy.arange(0, 90, 20)) |
|
|
472 | 473 | ax.yaxis.labelpad = 40 |
|
|
473 | 474 | |
|
|
474 | 475 | if self.firsttime: |
|
|
475 | 476 | for n, fig in enumerate(self.figures): |
|
|
476 | 477 | fig.subplots_adjust(**self.plots_adjust) |
|
|
477 | 478 | self.firsttime = False |
|
|
478 | 479 | |
|
|
479 | 480 | def clear_figures(self): |
|
|
480 | 481 | ''' |
|
|
481 | 482 | Reset axes for redraw plots |
|
|
482 | 483 | ''' |
|
|
483 | 484 | |
|
|
484 | 485 | for ax in self.axes+self.pf_axes+self.cb_axes: |
|
|
485 | 486 | ax.clear() |
|
|
486 | 487 | ax.firsttime = True |
|
|
487 | 488 | if ax.cbar: |
|
|
488 | 489 | ax.cbar.remove() |
|
|
489 | 490 | |
|
|
490 | 491 | def __plot(self): |
|
|
491 | 492 | ''' |
|
|
492 | 493 | Main function to plot, format and save figures |
|
|
493 | 494 | ''' |
|
|
494 | 495 | |
|
|
495 | 496 | self.plot() |
|
|
496 | 497 | self.format() |
|
|
497 | 498 | |
|
|
498 | 499 | for n, fig in enumerate(self.figures): |
|
|
499 | 500 | if self.nrows == 0 or self.nplots == 0: |
|
|
500 | 501 | log.warning('No data', self.name) |
|
|
501 | 502 | fig.text(0.5, 0.5, 'No Data', fontsize='large', ha='center') |
|
|
502 | 503 | fig.canvas.manager.set_window_title(self.CODE) |
|
|
503 | 504 | continue |
|
|
504 | 505 | |
|
|
505 | 506 | fig.canvas.manager.set_window_title('{} - {}'.format(self.title, |
|
|
506 | 507 | self.getDateTime(self.data.max_time).strftime('%Y/%m/%d'))) |
|
|
507 | 508 | fig.canvas.draw() |
|
|
508 | 509 | if self.show: |
|
|
509 | 510 | fig.show() |
|
|
510 | 511 | figpause(0.01) |
|
|
511 | 512 | |
|
|
512 | 513 | if self.save: |
|
|
513 | 514 | self.save_figure(n) |
|
|
514 | 515 | |
|
|
515 | 516 | if self.plot_server: |
|
|
516 | 517 | self.send_to_server() |
|
|
517 | 518 | |
|
|
518 | 519 | def save_figure(self, n): |
|
|
519 | 520 | ''' |
|
|
520 | 521 | ''' |
|
|
521 | 522 | |
|
|
522 | 523 | if self.save_counter < self.save_period: |
|
|
523 | 524 | self.save_counter += 1 |
|
|
524 | 525 | return |
|
|
525 | 526 | |
|
|
526 | 527 | self.save_counter = 1 |
|
|
527 | 528 | |
|
|
528 | 529 | fig = self.figures[n] |
|
|
529 | 530 | |
|
|
530 | 531 | if self.save_code: |
|
|
531 | 532 | if isinstance(self.save_code, str): |
|
|
532 | 533 | labels = [self.save_code for x in self.figures] |
|
|
533 | 534 | else: |
|
|
534 | 535 | labels = self.save_code |
|
|
535 | 536 | else: |
|
|
536 | 537 | labels = [self.CODE for x in self.figures] |
|
|
537 | 538 | |
|
|
538 | 539 | figname = os.path.join( |
|
|
539 | 540 | self.save, |
|
|
540 | 541 | labels[n], |
|
|
541 | 542 | '{}_{}.png'.format( |
|
|
542 | 543 | labels[n], |
|
|
543 | 544 | self.getDateTime(self.data.max_time).strftime( |
|
|
544 | 545 | '%Y%m%d_%H%M%S' |
|
|
545 | 546 | ), |
|
|
546 | 547 | ) |
|
|
547 | 548 | ) |
|
|
548 | 549 | log.log('Saving figure: {}'.format(figname), self.name) |
|
|
549 | 550 | if not os.path.isdir(os.path.dirname(figname)): |
|
|
550 | 551 | os.makedirs(os.path.dirname(figname)) |
|
|
551 | 552 | fig.savefig(figname) |
|
|
552 | 553 | |
|
|
553 | 554 | if self.throttle == 0: |
|
|
554 | 555 | figname = os.path.join( |
|
|
555 | 556 | self.save, |
|
|
556 | 557 | '{}_{}.png'.format( |
|
|
557 | 558 | labels[n], |
|
|
558 | 559 | self.getDateTime(self.data.min_time).strftime( |
|
|
559 | 560 | '%Y%m%d' |
|
|
560 | 561 | ), |
|
|
561 | 562 | ) |
|
|
562 | 563 | ) |
|
|
563 | 564 | fig.savefig(figname) |
|
|
564 | 565 | |
|
|
565 | 566 | def send_to_server(self): |
|
|
566 | 567 | ''' |
|
|
567 | 568 | ''' |
|
|
568 | 569 | |
|
|
569 | 570 | interval = self.data.tm - self.sender_time |
|
|
570 | 571 | if interval < self.sender_period: |
|
|
571 | 572 | return |
|
|
572 | 573 | |
|
|
573 | 574 | self.sender_time = self.data.tm |
|
|
574 | 575 | |
|
|
575 |
attrs = ['titles', 'zmin', 'zmax', ' |
|
|
|
576 | attrs = ['titles', 'zmin', 'zmax', 'tag', 'ymin', 'ymax'] | |
|
|
576 | 577 | for attr in attrs: |
|
|
577 | 578 | value = getattr(self, attr) |
|
|
578 |
if value |
|
|
|
579 | self.data.meta[attr] = getattr(self, attr) | |
|
|
579 | if value: | |
|
|
580 | if isinstance(value, (numpy.float32, numpy.float64)): | |
|
|
581 | value = round(float(value), 2) | |
|
|
582 | self.data.meta[attr] = value | |
|
|
583 | if self.colormap == 'jet': | |
|
|
584 | self.data.meta['colormap'] = 'Jet' | |
|
|
585 | elif 'RdBu' in self.colormap: | |
|
|
586 | self.data.meta['colormap'] = 'RdBu' | |
|
|
587 | else: | |
|
|
588 | self.data.meta['colormap'] = 'Viridis' | |
|
|
580 | 589 | self.data.meta['interval'] = int(interval) |
|
|
581 | msg = self.data.jsonify(self.plot_name, self.plot_type) | |
|
|
582 |
self.sender_queue.put(m |
|
|
|
590 | # msg = self.data.jsonify(self.data.tm, self.plot_name, self.plot_type) | |
|
|
591 | self.sender_queue.put(self.data.tm) | |
|
|
583 | 592 | |
|
|
584 | 593 | while True: |
|
|
585 | 594 | if self.sender_queue.empty(): |
|
|
586 | 595 | break |
|
|
587 |
|
|
|
|
596 | tm = self.sender_queue.get() | |
|
|
597 | msg = self.data.jsonify(tm, self.plot_name, self.plot_type) | |
|
|
598 | self.socket.send_string(msg) | |
|
|
588 | 599 | socks = dict(self.poll.poll(5000)) |
|
|
589 | 600 | if socks.get(self.socket) == zmq.POLLIN: |
|
|
590 | 601 | reply = self.socket.recv_string() |
|
|
591 | 602 | if reply == 'ok': |
|
|
592 | 603 | log.log("Response from server ok", self.name) |
|
|
593 | 604 | time.sleep(0.1) |
|
|
594 | 605 | continue |
|
|
595 | 606 | else: |
|
|
596 | 607 | log.warning( |
|
|
597 | 608 | "Malformed reply from server: {}".format(reply), self.name) |
|
|
598 | 609 | else: |
|
|
599 | 610 | log.warning( |
|
|
600 | 611 | "No response from server, retrying...", self.name) |
|
|
601 |
self.sender_queue.put(m |
|
|
|
612 | self.sender_queue.put(self.data.tm) | |
|
|
602 | 613 | self.socket.setsockopt(zmq.LINGER, 0) |
|
|
603 | 614 | self.socket.close() |
|
|
604 | 615 | self.poll.unregister(self.socket) |
|
|
605 | 616 | time.sleep(0.1) |
|
|
606 | 617 | self.socket = self.context.socket(zmq.REQ) |
|
|
607 | 618 | self.socket.connect(self.plot_server) |
|
|
608 | 619 | self.poll.register(self.socket, zmq.POLLIN) |
|
|
609 | 620 | break |
|
|
610 | 621 | |
|
|
611 | 622 | def setup(self): |
|
|
612 | 623 | ''' |
|
|
613 | 624 | This method should be implemented in the child class, the following |
|
|
614 | 625 | attributes should be set: |
|
|
615 | 626 | |
|
|
616 | 627 | self.nrows: number of rows |
|
|
617 | 628 | self.ncols: number of cols |
|
|
618 | 629 | self.nplots: number of plots (channels or pairs) |
|
|
619 | 630 | self.ylabel: label for Y axes |
|
|
620 | 631 | self.titles: list of axes title |
|
|
621 | 632 | |
|
|
622 | 633 | ''' |
|
|
623 | 634 | raise NotImplementedError |
|
|
624 | 635 | |
|
|
625 | 636 | def plot(self): |
|
|
626 | 637 | ''' |
|
|
627 | 638 | Must be defined in the child class |
|
|
628 | 639 | ''' |
|
|
629 | 640 | raise NotImplementedError |
|
|
630 | 641 | |
|
|
631 | 642 | def run(self, dataOut, **kwargs): |
|
|
632 | 643 | ''' |
|
|
633 | 644 | Main plotting routine |
|
|
634 | 645 | ''' |
|
|
635 | 646 | |
|
|
636 | 647 | if self.isConfig is False: |
|
|
637 | 648 | self.__setup(**kwargs) |
|
|
638 | 649 | |
|
|
639 | 650 | t = getattr(dataOut, self.attr_time) |
|
|
640 | 651 | |
|
|
641 | 652 | if dataOut.useLocalTime: |
|
|
642 | 653 | self.getDateTime = datetime.datetime.fromtimestamp |
|
|
643 | 654 | if not self.localtime: |
|
|
644 | 655 | t += time.timezone |
|
|
645 | 656 | else: |
|
|
646 | 657 | self.getDateTime = datetime.datetime.utcfromtimestamp |
|
|
647 | 658 | if self.localtime: |
|
|
648 | 659 | t -= time.timezone |
|
|
649 | 660 | |
|
|
650 |
if |
|
|
|
651 |
|
|
|
|
652 |
|
|
|
|
661 | if self.xmin is None: | |
|
|
662 | self.tmin = t | |
|
|
663 | if 'buffer' in self.plot_type: | |
|
|
653 | 664 | self.xmin = self.getDateTime(t).hour |
|
|
654 |
|
|
|
|
655 |
|
|
|
|
656 |
|
|
|
|
657 |
|
|
|
|
658 |
|
|
|
|
659 |
|
|
|
|
665 | else: | |
|
|
666 | self.tmin = ( | |
|
|
667 | self.getDateTime(t).replace( | |
|
|
668 | hour=int(self.xmin), | |
|
|
669 | minute=0, | |
|
|
670 | second=0) - self.getDateTime(0)).total_seconds() | |
|
|
660 | 671 | |
|
|
661 | 672 | self.data.setup() |
|
|
662 | 673 | self.isConfig = True |
|
|
663 | 674 | if self.plot_server: |
|
|
664 | 675 | self.context = zmq.Context() |
|
|
665 | 676 | self.socket = self.context.socket(zmq.REQ) |
|
|
666 | 677 | self.socket.connect(self.plot_server) |
|
|
667 | 678 | self.poll = zmq.Poller() |
|
|
668 | 679 | self.poll.register(self.socket, zmq.POLLIN) |
|
|
669 | 680 | |
|
|
670 | 681 | tm = getattr(dataOut, self.attr_time) |
|
|
671 | 682 | |
|
|
672 | 683 | if not dataOut.useLocalTime and self.localtime: |
|
|
673 | 684 | tm -= time.timezone |
|
|
674 | 685 | if dataOut.useLocalTime and not self.localtime: |
|
|
675 | 686 | tm += time.timezone |
|
|
676 | 687 | |
|
|
677 |
if |
|
|
|
688 | if self.data and (tm - self.tmin) >= self.xrange*60*60: | |
|
|
678 | 689 | self.save_counter = self.save_period |
|
|
679 | 690 | self.__plot() |
|
|
680 |
|
|
|
|
681 |
|
|
|
|
682 |
self.xmin |
|
|
|
691 | if 'time' in self.xaxis: | |
|
|
692 | self.xmin += self.xrange | |
|
|
693 | if self.xmin >= 24: | |
|
|
694 | self.xmin -= 24 | |
|
|
683 | 695 | self.tmin += self.xrange*60*60 |
|
|
684 | 696 | self.data.setup() |
|
|
685 | 697 | self.clear_figures() |
|
|
686 | 698 | |
|
|
687 | 699 | self.data.update(dataOut, tm) |
|
|
688 | 700 | |
|
|
689 | 701 | if self.isPlotConfig is False: |
|
|
690 | 702 | self.__setup_plot() |
|
|
691 | 703 | self.isPlotConfig = True |
|
|
692 | 704 | |
|
|
693 | 705 | if self.throttle == 0: |
|
|
694 | 706 | self.__plot() |
|
|
695 | 707 | else: |
|
|
696 | 708 | self.__throttle_plot(self.__plot)#, coerce=coerce) |
|
|
697 | 709 | |
|
|
698 | 710 | def close(self): |
|
|
699 | 711 | |
|
|
700 | 712 | if self.data and not self.data.flagNoData: |
|
|
701 | 713 | self.save_counter = self.save_period |
|
|
702 | 714 | self.__plot() |
|
|
703 | 715 | if self.data and not self.data.flagNoData and self.pause: |
|
|
704 | 716 | figpause(10) |
|
|
705 | 717 | |
| @@ -1,651 +1,651 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 9, 2014 |
|
|
3 | 3 | Modified on May 10, 2020 |
|
|
4 | 4 | |
|
|
5 | 5 | @author: Juan C. Espinoza |
|
|
6 | 6 | ''' |
|
|
7 | 7 | |
|
|
8 | 8 | import os |
|
|
9 | 9 | import datetime |
|
|
10 | 10 | import numpy |
|
|
11 | 11 | |
|
|
12 | 12 | from schainpy.model.graphics.jroplot_base import Plot, plt |
|
|
13 | 13 | |
|
|
14 | 14 | |
|
|
15 | 15 | class SpectraPlot(Plot): |
|
|
16 | 16 | ''' |
|
|
17 | 17 | Plot for Spectra data |
|
|
18 | 18 | ''' |
|
|
19 | 19 | |
|
|
20 | 20 | CODE = 'spc' |
|
|
21 | 21 | colormap = 'jet' |
|
|
22 | 22 | plot_name = 'Spectra' |
|
|
23 | 23 | plot_type = 'pcolor' |
|
|
24 | 24 | |
|
|
25 | 25 | def setup(self): |
|
|
26 | 26 | self.nplots = len(self.data.channels) |
|
|
27 | 27 | self.ncols = int(numpy.sqrt(self.nplots) + 0.9) |
|
|
28 | 28 | self.nrows = int((1.0 * self.nplots / self.ncols) + 0.9) |
|
|
29 | 29 | self.height = 3 * self.nrows |
|
|
30 | 30 | self.cb_label = 'dB' |
|
|
31 | 31 | if self.showprofile: |
|
|
32 | 32 | self.width = 4 * self.ncols |
|
|
33 | 33 | else: |
|
|
34 | 34 | self.width = 3.5 * self.ncols |
|
|
35 | 35 | self.plots_adjust.update({'wspace': 0.4, 'hspace':0.4, 'left': 0.1, 'right': 0.9, 'bottom': 0.08}) |
|
|
36 | 36 | self.ylabel = 'Range [km]' |
|
|
37 | 37 | |
|
|
38 | 38 | def plot(self): |
|
|
39 | 39 | if self.xaxis == "frequency": |
|
|
40 | 40 | x = self.data.xrange[0] |
|
|
41 | 41 | self.xlabel = "Frequency (kHz)" |
|
|
42 | 42 | elif self.xaxis == "time": |
|
|
43 | 43 | x = self.data.xrange[1] |
|
|
44 | 44 | self.xlabel = "Time (ms)" |
|
|
45 | 45 | else: |
|
|
46 | 46 | x = self.data.xrange[2] |
|
|
47 | 47 | self.xlabel = "Velocity (m/s)" |
|
|
48 | 48 | |
|
|
49 | 49 | if self.CODE == 'spc_moments': |
|
|
50 | 50 | x = self.data.xrange[2] |
|
|
51 | 51 | self.xlabel = "Velocity (m/s)" |
|
|
52 | 52 | |
|
|
53 | 53 | self.titles = [] |
|
|
54 | 54 | |
|
|
55 | 55 | y = self.data.heights |
|
|
56 | 56 | self.y = y |
|
|
57 | 57 | z = self.data['spc'] |
|
|
58 | 58 | |
|
|
59 | 59 | for n, ax in enumerate(self.axes): |
|
|
60 | 60 | noise = self.data['noise'][n][-1] |
|
|
61 | 61 | if self.CODE == 'spc_moments': |
|
|
62 | 62 | mean = self.data['moments'][n, :, 1, :][-1] |
|
|
63 | 63 | if ax.firsttime: |
|
|
64 | 64 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
65 | 65 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
66 | 66 | self.zmin = self.zmin if self.zmin else numpy.nanmin(z) |
|
|
67 | 67 | self.zmax = self.zmax if self.zmax else numpy.nanmax(z) |
|
|
68 | 68 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
69 | 69 | vmin=self.zmin, |
|
|
70 | 70 | vmax=self.zmax, |
|
|
71 | 71 | cmap=plt.get_cmap(self.colormap) |
|
|
72 | 72 | ) |
|
|
73 | 73 | |
|
|
74 | 74 | if self.showprofile: |
|
|
75 | 75 | ax.plt_profile = self.pf_axes[n].plot( |
|
|
76 | 76 | self.data['rti'][n][-1], y)[0] |
|
|
77 | 77 | ax.plt_noise = self.pf_axes[n].plot(numpy.repeat(noise, len(y)), y, |
|
|
78 | 78 | color="k", linestyle="dashed", lw=1)[0] |
|
|
79 | 79 | if self.CODE == 'spc_moments': |
|
|
80 | 80 | ax.plt_mean = ax.plot(mean, y, color='k')[0] |
|
|
81 | 81 | else: |
|
|
82 | 82 | ax.plt.set_array(z[n].T.ravel()) |
|
|
83 | 83 | if self.showprofile: |
|
|
84 | 84 | ax.plt_profile.set_data(self.data['rti'][n][-1], y) |
|
|
85 | 85 | ax.plt_noise.set_data(numpy.repeat(noise, len(y)), y) |
|
|
86 | 86 | if self.CODE == 'spc_moments': |
|
|
87 | 87 | ax.plt_mean.set_data(mean, y) |
|
|
88 | 88 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) |
|
|
89 | 89 | |
|
|
90 | 90 | |
|
|
91 | 91 | class CrossSpectraPlot(Plot): |
|
|
92 | 92 | |
|
|
93 | 93 | CODE = 'cspc' |
|
|
94 | 94 | colormap = 'jet' |
|
|
95 | 95 | plot_name = 'CrossSpectra' |
|
|
96 | 96 | plot_type = 'pcolor' |
|
|
97 | 97 | zmin_coh = None |
|
|
98 | 98 | zmax_coh = None |
|
|
99 | 99 | zmin_phase = None |
|
|
100 | 100 | zmax_phase = None |
|
|
101 | 101 | |
|
|
102 | 102 | def setup(self): |
|
|
103 | 103 | |
|
|
104 | 104 | self.ncols = 4 |
|
|
105 | 105 | self.nrows = len(self.data.pairs) |
|
|
106 | 106 | self.nplots = self.nrows * 4 |
|
|
107 | 107 | self.width = 3.4 * self.ncols |
|
|
108 | 108 | self.height = 3 * self.nrows |
|
|
109 | 109 | self.ylabel = 'Range [km]' |
|
|
110 | 110 | self.showprofile = False |
|
|
111 | 111 | self.plots_adjust.update({'bottom': 0.08}) |
|
|
112 | 112 | |
|
|
113 | 113 | def plot(self): |
|
|
114 | 114 | |
|
|
115 | 115 | if self.xaxis == "frequency": |
|
|
116 | 116 | x = self.data.xrange[0] |
|
|
117 | 117 | self.xlabel = "Frequency (kHz)" |
|
|
118 | 118 | elif self.xaxis == "time": |
|
|
119 | 119 | x = self.data.xrange[1] |
|
|
120 | 120 | self.xlabel = "Time (ms)" |
|
|
121 | 121 | else: |
|
|
122 | 122 | x = self.data.xrange[2] |
|
|
123 | 123 | self.xlabel = "Velocity (m/s)" |
|
|
124 | 124 | |
|
|
125 | 125 | self.titles = [] |
|
|
126 | 126 | |
|
|
127 | 127 | y = self.data.heights |
|
|
128 | 128 | self.y = y |
|
|
129 | spc = self.data['spc'] | |
|
|
130 |
|
|
|
|
129 | nspc = self.data['spc'] | |
|
|
130 | spc = self.data['cspc'][0] | |
|
|
131 | cspc = self.data['cspc'][1] | |
|
|
131 | 132 | |
|
|
132 | 133 | for n in range(self.nrows): |
|
|
133 |
noise = self.data['noise'][ |
|
|
|
134 | noise = self.data['noise'][:,-1] | |
|
|
134 | 135 | pair = self.data.pairs[n] |
|
|
135 | 136 | ax = self.axes[4 * n] |
|
|
136 | spc0 = 10.*numpy.log10(spc[pair[0]]/self.data.factor) | |
|
|
137 | 137 | if ax.firsttime: |
|
|
138 | 138 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
139 | 139 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
140 | self.zmin = self.zmin if self.zmin else numpy.nanmin(spc) | |
|
|
141 | self.zmax = self.zmax if self.zmax else numpy.nanmax(spc) | |
|
|
142 | ax.plt = ax.pcolormesh(x , y , spc0.T, | |
|
|
140 | self.zmin = self.zmin if self.zmin else numpy.nanmin(nspc) | |
|
|
141 | self.zmax = self.zmax if self.zmax else numpy.nanmax(nspc) | |
|
|
142 | ax.plt = ax.pcolormesh(x , y , nspc[pair[0]].T, | |
|
|
143 | 143 | vmin=self.zmin, |
|
|
144 | 144 | vmax=self.zmax, |
|
|
145 | 145 | cmap=plt.get_cmap(self.colormap) |
|
|
146 | 146 | ) |
|
|
147 | 147 | else: |
|
|
148 | ax.plt.set_array(spc0.T.ravel()) | |
|
|
149 | self.titles.append('CH {}: {:3.2f}dB'.format(pair[0], noise)) | |
|
|
148 | ax.plt.set_array(nspc[pair[0]].T.ravel()) | |
|
|
149 | self.titles.append('CH {}: {:3.2f}dB'.format(pair[0], noise[pair[0]])) | |
|
|
150 | 150 | |
|
|
151 | 151 | ax = self.axes[4 * n + 1] |
|
|
152 | spc1 = 10.*numpy.log10(spc[pair[1]]/self.data.factor) | |
|
|
153 | 152 | if ax.firsttime: |
|
|
154 | ax.plt = ax.pcolormesh(x , y, spc1.T, | |
|
|
153 | ax.plt = ax.pcolormesh(x , y, nspc[pair[1]].T, | |
|
|
155 | 154 | vmin=self.zmin, |
|
|
156 | 155 | vmax=self.zmax, |
|
|
157 | 156 | cmap=plt.get_cmap(self.colormap) |
|
|
158 | 157 | ) |
|
|
159 | 158 | else: |
|
|
160 | ax.plt.set_array(spc1.T.ravel()) | |
|
|
161 | self.titles.append('CH {}: {:3.2f}dB'.format(pair[1], noise)) | |
|
|
159 | ax.plt.set_array(nspc[pair[1]].T.ravel()) | |
|
|
160 | self.titles.append('CH {}: {:3.2f}dB'.format(pair[1], noise[pair[1]])) | |
|
|
162 | 161 | |
|
|
163 | 162 | out = cspc[n] / numpy.sqrt(spc[pair[0]] * spc[pair[1]]) |
|
|
164 | 163 | coh = numpy.abs(out) |
|
|
165 | 164 | phase = numpy.arctan2(out.imag, out.real) * 180 / numpy.pi |
|
|
166 | 165 | |
|
|
167 | 166 | ax = self.axes[4 * n + 2] |
|
|
168 | 167 | if ax.firsttime: |
|
|
169 | 168 | ax.plt = ax.pcolormesh(x, y, coh.T, |
|
|
170 | 169 | vmin=0, |
|
|
171 | 170 | vmax=1, |
|
|
172 | 171 | cmap=plt.get_cmap(self.colormap_coh) |
|
|
173 | 172 | ) |
|
|
174 | 173 | else: |
|
|
175 | 174 | ax.plt.set_array(coh.T.ravel()) |
|
|
176 | 175 | self.titles.append( |
|
|
177 | 176 | 'Coherence Ch{} * Ch{}'.format(pair[0], pair[1])) |
|
|
178 | 177 | |
|
|
179 | 178 | ax = self.axes[4 * n + 3] |
|
|
180 | 179 | if ax.firsttime: |
|
|
181 | 180 | ax.plt = ax.pcolormesh(x, y, phase.T, |
|
|
182 | 181 | vmin=-180, |
|
|
183 | 182 | vmax=180, |
|
|
184 | 183 | cmap=plt.get_cmap(self.colormap_phase) |
|
|
185 | 184 | ) |
|
|
186 | 185 | else: |
|
|
187 | 186 | ax.plt.set_array(phase.T.ravel()) |
|
|
188 | 187 | self.titles.append('Phase CH{} * CH{}'.format(pair[0], pair[1])) |
|
|
189 | 188 | |
|
|
190 | 189 | |
|
|
191 | 190 | class RTIPlot(Plot): |
|
|
192 | 191 | ''' |
|
|
193 | 192 | Plot for RTI data |
|
|
194 | 193 | ''' |
|
|
195 | 194 | |
|
|
196 | 195 | CODE = 'rti' |
|
|
197 | 196 | colormap = 'jet' |
|
|
198 | 197 | plot_name = 'RTI' |
|
|
199 | 198 | plot_type = 'pcolorbuffer' |
|
|
200 | 199 | |
|
|
201 | 200 | def setup(self): |
|
|
202 | 201 | self.xaxis = 'time' |
|
|
203 | 202 | self.ncols = 1 |
|
|
204 | 203 | self.nrows = len(self.data.channels) |
|
|
205 | 204 | self.nplots = len(self.data.channels) |
|
|
206 | 205 | self.ylabel = 'Range [km]' |
|
|
207 | 206 | self.xlabel = 'Time' |
|
|
208 | 207 | self.cb_label = 'dB' |
|
|
209 | 208 | self.plots_adjust.update({'hspace':0.8, 'left': 0.1, 'bottom': 0.08, 'right':0.95}) |
|
|
210 | 209 | self.titles = ['{} Channel {}'.format( |
|
|
211 | 210 | self.CODE.upper(), x) for x in range(self.nrows)] |
|
|
212 | 211 | |
|
|
213 | 212 | def plot(self): |
|
|
214 | 213 | self.x = self.data.times |
|
|
215 | 214 | self.y = self.data.heights |
|
|
216 | 215 | self.z = self.data[self.CODE] |
|
|
217 | 216 | self.z = numpy.ma.masked_invalid(self.z) |
|
|
218 | 217 | |
|
|
219 | 218 | if self.decimation is None: |
|
|
220 | 219 | x, y, z = self.fill_gaps(self.x, self.y, self.z) |
|
|
221 | 220 | else: |
|
|
222 | 221 | x, y, z = self.fill_gaps(*self.decimate()) |
|
|
223 | 222 | |
|
|
224 | 223 | for n, ax in enumerate(self.axes): |
|
|
225 | 224 | self.zmin = self.zmin if self.zmin else numpy.min(self.z) |
|
|
226 | 225 | self.zmax = self.zmax if self.zmax else numpy.max(self.z) |
|
|
227 | 226 | if ax.firsttime: |
|
|
228 | 227 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
229 | 228 | vmin=self.zmin, |
|
|
230 | 229 | vmax=self.zmax, |
|
|
231 | 230 | cmap=plt.get_cmap(self.colormap) |
|
|
232 | 231 | ) |
|
|
233 | 232 | if self.showprofile: |
|
|
234 | 233 | ax.plot_profile = self.pf_axes[n].plot( |
|
|
235 | 234 | self.data['rti'][n][-1], self.y)[0] |
|
|
236 | 235 | ax.plot_noise = self.pf_axes[n].plot(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y, |
|
|
237 | 236 | color="k", linestyle="dashed", lw=1)[0] |
|
|
238 | 237 | else: |
|
|
239 | 238 | ax.collections.remove(ax.collections[0]) |
|
|
240 | 239 | ax.plt = ax.pcolormesh(x, y, z[n].T, |
|
|
241 | 240 | vmin=self.zmin, |
|
|
242 | 241 | vmax=self.zmax, |
|
|
243 | 242 | cmap=plt.get_cmap(self.colormap) |
|
|
244 | 243 | ) |
|
|
245 | 244 | if self.showprofile: |
|
|
246 | 245 | ax.plot_profile.set_data(self.data['rti'][n][-1], self.y) |
|
|
247 | 246 | ax.plot_noise.set_data(numpy.repeat( |
|
|
248 | 247 | self.data['noise'][n][-1], len(self.y)), self.y) |
|
|
249 | 248 | |
|
|
250 | 249 | |
|
|
251 | 250 | class CoherencePlot(RTIPlot): |
|
|
252 | 251 | ''' |
|
|
253 | 252 | Plot for Coherence data |
|
|
254 | 253 | ''' |
|
|
255 | 254 | |
|
|
256 | 255 | CODE = 'coh' |
|
|
257 | 256 | plot_name = 'Coherence' |
|
|
258 | 257 | |
|
|
259 | 258 | def setup(self): |
|
|
260 | 259 | self.xaxis = 'time' |
|
|
261 | 260 | self.ncols = 1 |
|
|
262 | 261 | self.nrows = len(self.data.pairs) |
|
|
263 | 262 | self.nplots = len(self.data.pairs) |
|
|
264 | 263 | self.ylabel = 'Range [km]' |
|
|
265 | 264 | self.xlabel = 'Time' |
|
|
266 | 265 | self.plots_adjust.update({'hspace':0.6, 'left': 0.1, 'bottom': 0.1,'right':0.95}) |
|
|
267 | 266 | if self.CODE == 'coh': |
|
|
268 | 267 | self.cb_label = '' |
|
|
269 | 268 | self.titles = [ |
|
|
270 | 269 | 'Coherence Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
|
271 | 270 | else: |
|
|
272 | 271 | self.cb_label = 'Degrees' |
|
|
273 | 272 | self.titles = [ |
|
|
274 | 273 | 'Phase Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] |
|
|
275 | 274 | |
|
|
276 | 275 | |
|
|
277 | 276 | class PhasePlot(CoherencePlot): |
|
|
278 | 277 | ''' |
|
|
279 | 278 | Plot for Phase map data |
|
|
280 | 279 | ''' |
|
|
281 | 280 | |
|
|
282 | 281 | CODE = 'phase' |
|
|
283 | 282 | colormap = 'seismic' |
|
|
284 | 283 | plot_name = 'Phase' |
|
|
285 | 284 | |
|
|
286 | 285 | |
|
|
287 | 286 | class NoisePlot(Plot): |
|
|
288 | 287 | ''' |
|
|
289 | 288 | Plot for noise |
|
|
290 | 289 | ''' |
|
|
291 | 290 | |
|
|
292 | 291 | CODE = 'noise' |
|
|
293 | 292 | plot_name = 'Noise' |
|
|
294 | 293 | plot_type = 'scatterbuffer' |
|
|
295 | 294 | |
|
|
296 | 295 | |
|
|
297 | 296 | def setup(self): |
|
|
298 | 297 | self.xaxis = 'time' |
|
|
299 | 298 | self.ncols = 1 |
|
|
300 | 299 | self.nrows = 1 |
|
|
301 | 300 | self.nplots = 1 |
|
|
302 | 301 | self.ylabel = 'Intensity [dB]' |
|
|
302 | self.xlabel = 'Time' | |
|
|
303 | 303 | self.titles = ['Noise'] |
|
|
304 | 304 | self.colorbar = False |
|
|
305 | 305 | |
|
|
306 | 306 | def plot(self): |
|
|
307 | 307 | |
|
|
308 | 308 | x = self.data.times |
|
|
309 | 309 | xmin = self.data.min_time |
|
|
310 | 310 | xmax = xmin + self.xrange * 60 * 60 |
|
|
311 | 311 | Y = self.data[self.CODE] |
|
|
312 | 312 | |
|
|
313 | 313 | if self.axes[0].firsttime: |
|
|
314 | 314 | for ch in self.data.channels: |
|
|
315 | 315 | y = Y[ch] |
|
|
316 | 316 | self.axes[0].plot(x, y, lw=1, label='Ch{}'.format(ch)) |
|
|
317 | 317 | plt.legend() |
|
|
318 | 318 | else: |
|
|
319 | 319 | for ch in self.data.channels: |
|
|
320 | 320 | y = Y[ch] |
|
|
321 | 321 | self.axes[0].lines[ch].set_data(x, y) |
|
|
322 | 322 | |
|
|
323 | 323 | self.ymin = numpy.nanmin(Y) - 5 |
|
|
324 | 324 | self.ymax = numpy.nanmax(Y) + 5 |
|
|
325 | 325 | |
|
|
326 | 326 | |
|
|
327 | 327 | class PowerProfilePlot(Plot): |
|
|
328 | 328 | |
|
|
329 | 329 | CODE = 'spcprofile' |
|
|
330 | 330 | plot_name = 'Power Profile' |
|
|
331 | 331 | plot_type = 'scatter' |
|
|
332 | 332 | buffering = False |
|
|
333 | 333 | |
|
|
334 | 334 | def setup(self): |
|
|
335 | 335 | |
|
|
336 | 336 | self.ncols = 1 |
|
|
337 | 337 | self.nrows = 1 |
|
|
338 | 338 | self.nplots = 1 |
|
|
339 | 339 | self.height = 4 |
|
|
340 | 340 | self.width = 3 |
|
|
341 | 341 | self.ylabel = 'Range [km]' |
|
|
342 | 342 | self.xlabel = 'Intensity [dB]' |
|
|
343 | 343 | self.titles = ['Power Profile'] |
|
|
344 | 344 | self.colorbar = False |
|
|
345 | 345 | |
|
|
346 | 346 | def plot(self): |
|
|
347 | 347 | |
|
|
348 | 348 | y = self.data.heights |
|
|
349 | 349 | self.y = y |
|
|
350 | 350 | |
|
|
351 | 351 | x = self.data['spcprofile'] |
|
|
352 | 352 | |
|
|
353 | 353 | if self.xmin is None: self.xmin = numpy.nanmin(x)*0.9 |
|
|
354 | 354 | if self.xmax is None: self.xmax = numpy.nanmax(x)*1.1 |
|
|
355 | 355 | |
|
|
356 | 356 | if self.axes[0].firsttime: |
|
|
357 | 357 | for ch in self.data.channels: |
|
|
358 | 358 | self.axes[0].plot(x[ch], y, lw=1, label='Ch{}'.format(ch)) |
|
|
359 | 359 | plt.legend() |
|
|
360 | 360 | else: |
|
|
361 | 361 | for ch in self.data.channels: |
|
|
362 | 362 | self.axes[0].lines[ch].set_data(x[ch], y) |
|
|
363 | 363 | |
|
|
364 | 364 | |
|
|
365 | 365 | class SpectraCutPlot(Plot): |
|
|
366 | 366 | |
|
|
367 | 367 | CODE = 'spc_cut' |
|
|
368 | 368 | plot_name = 'Spectra Cut' |
|
|
369 | 369 | plot_type = 'scatter' |
|
|
370 | 370 | buffering = False |
|
|
371 | 371 | |
|
|
372 | 372 | def setup(self): |
|
|
373 | 373 | |
|
|
374 | 374 | self.nplots = len(self.data.channels) |
|
|
375 | 375 | self.ncols = int(numpy.sqrt(self.nplots) + 0.9) |
|
|
376 | 376 | self.nrows = int((1.0 * self.nplots / self.ncols) + 0.9) |
|
|
377 | 377 | self.width = 3.4 * self.ncols + 1.5 |
|
|
378 | 378 | self.height = 3 * self.nrows |
|
|
379 | 379 | self.ylabel = 'Power [dB]' |
|
|
380 | 380 | self.colorbar = False |
|
|
381 | 381 | self.plots_adjust.update({'left':0.1, 'hspace':0.3, 'right': 0.75, 'bottom':0.08}) |
|
|
382 | 382 | |
|
|
383 | 383 | def plot(self): |
|
|
384 | 384 | if self.xaxis == "frequency": |
|
|
385 | 385 | x = self.data.xrange[0][1:] |
|
|
386 | 386 | self.xlabel = "Frequency (kHz)" |
|
|
387 | 387 | elif self.xaxis == "time": |
|
|
388 | 388 | x = self.data.xrange[1] |
|
|
389 | 389 | self.xlabel = "Time (ms)" |
|
|
390 | 390 | else: |
|
|
391 | 391 | x = self.data.xrange[2] |
|
|
392 | 392 | self.xlabel = "Velocity (m/s)" |
|
|
393 | 393 | |
|
|
394 | 394 | self.titles = [] |
|
|
395 | 395 | |
|
|
396 | 396 | y = self.data.heights |
|
|
397 | 397 | #self.y = y |
|
|
398 | 398 | z = self.data['spc_cut'] |
|
|
399 | 399 | |
|
|
400 | 400 | if self.height_index: |
|
|
401 | 401 | index = numpy.array(self.height_index) |
|
|
402 | 402 | else: |
|
|
403 | 403 | index = numpy.arange(0, len(y), int((len(y))/9)) |
|
|
404 | 404 | |
|
|
405 | 405 | for n, ax in enumerate(self.axes): |
|
|
406 | 406 | if ax.firsttime: |
|
|
407 | 407 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) |
|
|
408 | 408 | self.xmin = self.xmin if self.xmin else -self.xmax |
|
|
409 | 409 | self.ymin = self.ymin if self.ymin else numpy.nanmin(z) |
|
|
410 | 410 | self.ymax = self.ymax if self.ymax else numpy.nanmax(z) |
|
|
411 | 411 | ax.plt = ax.plot(x, z[n, :, index].T) |
|
|
412 | 412 | labels = ['Range = {:2.1f}km'.format(y[i]) for i in index] |
|
|
413 | 413 | self.figures[0].legend(ax.plt, labels, loc='center right') |
|
|
414 | 414 | else: |
|
|
415 | 415 | for i, line in enumerate(ax.plt): |
|
|
416 | 416 | line.set_data(x, z[n, :, i]) |
|
|
417 | 417 | self.titles.append('CH {}'.format(n)) |
|
|
418 | 418 | |
|
|
419 | 419 | |
|
|
420 | 420 | class BeaconPhase(Plot): |
|
|
421 | 421 | |
|
|
422 | 422 | __isConfig = None |
|
|
423 | 423 | __nsubplots = None |
|
|
424 | 424 | |
|
|
425 | 425 | PREFIX = 'beacon_phase' |
|
|
426 | 426 | |
|
|
427 | 427 | def __init__(self): |
|
|
428 | 428 | Plot.__init__(self) |
|
|
429 | 429 | self.timerange = 24*60*60 |
|
|
430 | 430 | self.isConfig = False |
|
|
431 | 431 | self.__nsubplots = 1 |
|
|
432 | 432 | self.counter_imagwr = 0 |
|
|
433 | 433 | self.WIDTH = 800 |
|
|
434 | 434 | self.HEIGHT = 400 |
|
|
435 | 435 | self.WIDTHPROF = 120 |
|
|
436 | 436 | self.HEIGHTPROF = 0 |
|
|
437 | 437 | self.xdata = None |
|
|
438 | 438 | self.ydata = None |
|
|
439 | 439 | |
|
|
440 | 440 | self.PLOT_CODE = BEACON_CODE |
|
|
441 | 441 | |
|
|
442 | 442 | self.FTP_WEI = None |
|
|
443 | 443 | self.EXP_CODE = None |
|
|
444 | 444 | self.SUB_EXP_CODE = None |
|
|
445 | 445 | self.PLOT_POS = None |
|
|
446 | 446 | |
|
|
447 | 447 | self.filename_phase = None |
|
|
448 | 448 | |
|
|
449 | 449 | self.figfile = None |
|
|
450 | 450 | |
|
|
451 | 451 | self.xmin = None |
|
|
452 | 452 | self.xmax = None |
|
|
453 | 453 | |
|
|
454 | 454 | def getSubplots(self): |
|
|
455 | 455 | |
|
|
456 | 456 | ncol = 1 |
|
|
457 | 457 | nrow = 1 |
|
|
458 | 458 | |
|
|
459 | 459 | return nrow, ncol |
|
|
460 | 460 | |
|
|
461 | 461 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
|
462 | 462 | |
|
|
463 | 463 | self.__showprofile = showprofile |
|
|
464 | 464 | self.nplots = nplots |
|
|
465 | 465 | |
|
|
466 | 466 | ncolspan = 7 |
|
|
467 | 467 | colspan = 6 |
|
|
468 | 468 | self.__nsubplots = 2 |
|
|
469 | 469 | |
|
|
470 | 470 | self.createFigure(id = id, |
|
|
471 | 471 | wintitle = wintitle, |
|
|
472 | 472 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
|
473 | 473 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
|
474 | 474 | show=show) |
|
|
475 | 475 | |
|
|
476 | 476 | nrow, ncol = self.getSubplots() |
|
|
477 | 477 | |
|
|
478 | 478 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
|
479 | 479 | |
|
|
480 | 480 | def save_phase(self, filename_phase): |
|
|
481 | 481 | f = open(filename_phase,'w+') |
|
|
482 | 482 | f.write('\n\n') |
|
|
483 | 483 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') |
|
|
484 | 484 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) |
|
|
485 | 485 | f.close() |
|
|
486 | 486 | |
|
|
487 | 487 | def save_data(self, filename_phase, data, data_datetime): |
|
|
488 | 488 | f=open(filename_phase,'a') |
|
|
489 | 489 | timetuple_data = data_datetime.timetuple() |
|
|
490 | 490 | day = str(timetuple_data.tm_mday) |
|
|
491 | 491 | month = str(timetuple_data.tm_mon) |
|
|
492 | 492 | year = str(timetuple_data.tm_year) |
|
|
493 | 493 | hour = str(timetuple_data.tm_hour) |
|
|
494 | 494 | minute = str(timetuple_data.tm_min) |
|
|
495 | 495 | second = str(timetuple_data.tm_sec) |
|
|
496 | 496 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') |
|
|
497 | 497 | f.close() |
|
|
498 | 498 | |
|
|
499 | 499 | def plot(self): |
|
|
500 | 500 | log.warning('TODO: Not yet implemented...') |
|
|
501 | 501 | |
|
|
502 | 502 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
|
503 | 503 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, |
|
|
504 | 504 | timerange=None, |
|
|
505 | 505 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
|
506 | 506 | server=None, folder=None, username=None, password=None, |
|
|
507 | 507 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
|
508 | 508 | |
|
|
509 | 509 | if dataOut.flagNoData: |
|
|
510 | 510 | return dataOut |
|
|
511 | 511 | |
|
|
512 | 512 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
|
513 | 513 | return |
|
|
514 | 514 | |
|
|
515 | 515 | if pairsList == None: |
|
|
516 | 516 | pairsIndexList = dataOut.pairsIndexList[:10] |
|
|
517 | 517 | else: |
|
|
518 | 518 | pairsIndexList = [] |
|
|
519 | 519 | for pair in pairsList: |
|
|
520 | 520 | if pair not in dataOut.pairsList: |
|
|
521 | 521 | raise ValueError("Pair %s is not in dataOut.pairsList" %(pair)) |
|
|
522 | 522 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
|
523 | 523 | |
|
|
524 | 524 | if pairsIndexList == []: |
|
|
525 | 525 | return |
|
|
526 | 526 | |
|
|
527 | 527 | # if len(pairsIndexList) > 4: |
|
|
528 | 528 | # pairsIndexList = pairsIndexList[0:4] |
|
|
529 | 529 | |
|
|
530 | 530 | hmin_index = None |
|
|
531 | 531 | hmax_index = None |
|
|
532 | 532 | |
|
|
533 | 533 | if hmin != None and hmax != None: |
|
|
534 | 534 | indexes = numpy.arange(dataOut.nHeights) |
|
|
535 | 535 | hmin_list = indexes[dataOut.heightList >= hmin] |
|
|
536 | 536 | hmax_list = indexes[dataOut.heightList <= hmax] |
|
|
537 | 537 | |
|
|
538 | 538 | if hmin_list.any(): |
|
|
539 | 539 | hmin_index = hmin_list[0] |
|
|
540 | 540 | |
|
|
541 | 541 | if hmax_list.any(): |
|
|
542 | 542 | hmax_index = hmax_list[-1]+1 |
|
|
543 | 543 | |
|
|
544 | 544 | x = dataOut.getTimeRange() |
|
|
545 | 545 | #y = dataOut.getHeiRange() |
|
|
546 | 546 | |
|
|
547 | 547 | |
|
|
548 | 548 | thisDatetime = dataOut.datatime |
|
|
549 | 549 | |
|
|
550 | 550 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
|
551 | 551 | xlabel = "Local Time" |
|
|
552 | 552 | ylabel = "Phase (degrees)" |
|
|
553 | 553 | |
|
|
554 | 554 | update_figfile = False |
|
|
555 | 555 | |
|
|
556 | 556 | nplots = len(pairsIndexList) |
|
|
557 | 557 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
|
558 | 558 | phase_beacon = numpy.zeros(len(pairsIndexList)) |
|
|
559 | 559 | for i in range(nplots): |
|
|
560 | 560 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
|
561 | 561 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) |
|
|
562 | 562 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) |
|
|
563 | 563 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) |
|
|
564 | 564 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
|
565 | 565 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
|
566 | 566 | |
|
|
567 | 567 | if dataOut.beacon_heiIndexList: |
|
|
568 | 568 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) |
|
|
569 | 569 | else: |
|
|
570 | 570 | phase_beacon[i] = numpy.average(phase) |
|
|
571 | 571 | |
|
|
572 | 572 | if not self.isConfig: |
|
|
573 | 573 | |
|
|
574 | 574 | nplots = len(pairsIndexList) |
|
|
575 | 575 | |
|
|
576 | 576 | self.setup(id=id, |
|
|
577 | 577 | nplots=nplots, |
|
|
578 | 578 | wintitle=wintitle, |
|
|
579 | 579 | showprofile=showprofile, |
|
|
580 | 580 | show=show) |
|
|
581 | 581 | |
|
|
582 | 582 | if timerange != None: |
|
|
583 | 583 | self.timerange = timerange |
|
|
584 | 584 | |
|
|
585 | 585 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
|
586 | 586 | |
|
|
587 | 587 | if ymin == None: ymin = 0 |
|
|
588 | 588 | if ymax == None: ymax = 360 |
|
|
589 | 589 | |
|
|
590 | 590 | self.FTP_WEI = ftp_wei |
|
|
591 | 591 | self.EXP_CODE = exp_code |
|
|
592 | 592 | self.SUB_EXP_CODE = sub_exp_code |
|
|
593 | 593 | self.PLOT_POS = plot_pos |
|
|
594 | 594 | |
|
|
595 | 595 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
596 | 596 | self.isConfig = True |
|
|
597 | 597 | self.figfile = figfile |
|
|
598 | 598 | self.xdata = numpy.array([]) |
|
|
599 | 599 | self.ydata = numpy.array([]) |
|
|
600 | 600 | |
|
|
601 | 601 | update_figfile = True |
|
|
602 | 602 | |
|
|
603 | 603 | #open file beacon phase |
|
|
604 | 604 | path = '%s%03d' %(self.PREFIX, self.id) |
|
|
605 | 605 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
|
606 | 606 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
|
607 | 607 | #self.save_phase(self.filename_phase) |
|
|
608 | 608 | |
|
|
609 | 609 | |
|
|
610 | 610 | #store data beacon phase |
|
|
611 | 611 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
|
612 | 612 | |
|
|
613 | 613 | self.setWinTitle(title) |
|
|
614 | 614 | |
|
|
615 | 615 | |
|
|
616 | 616 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
|
617 | 617 | |
|
|
618 | 618 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] |
|
|
619 | 619 | |
|
|
620 | 620 | axes = self.axesList[0] |
|
|
621 | 621 | |
|
|
622 | 622 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
|
623 | 623 | |
|
|
624 | 624 | if len(self.ydata)==0: |
|
|
625 | 625 | self.ydata = phase_beacon.reshape(-1,1) |
|
|
626 | 626 | else: |
|
|
627 | 627 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
|
628 | 628 | |
|
|
629 | 629 | |
|
|
630 | 630 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
|
631 | 631 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
|
632 | 632 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
|
633 | 633 | XAxisAsTime=True, grid='both' |
|
|
634 | 634 | ) |
|
|
635 | 635 | |
|
|
636 | 636 | self.draw() |
|
|
637 | 637 | |
|
|
638 | 638 | if dataOut.ltctime >= self.xmax: |
|
|
639 | 639 | self.counter_imagwr = wr_period |
|
|
640 | 640 | self.isConfig = False |
|
|
641 | 641 | update_figfile = True |
|
|
642 | 642 | |
|
|
643 | 643 | self.save(figpath=figpath, |
|
|
644 | 644 | figfile=figfile, |
|
|
645 | 645 | save=save, |
|
|
646 | 646 | ftp=ftp, |
|
|
647 | 647 | wr_period=wr_period, |
|
|
648 | 648 | thisDatetime=thisDatetime, |
|
|
649 | 649 | update_figfile=update_figfile) |
|
|
650 | 650 | |
|
|
651 | 651 | return dataOut No newline at end of file |
| @@ -1,23 +1,24 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | |
|
|
3 | 3 | $Author: murco $ |
|
|
4 | 4 | $Id: JRODataIO.py 169 2012-11-19 21:57:03Z murco $ |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | from .jroIO_voltage import * |
|
|
8 | 8 | from .jroIO_spectra import * |
|
|
9 | 9 | from .jroIO_heispectra import * |
|
|
10 | 10 | from .jroIO_usrp import * |
|
|
11 | 11 | from .jroIO_digitalRF import * |
|
|
12 | 12 | from .jroIO_kamisr import * |
|
|
13 | 13 | from .jroIO_param import * |
|
|
14 | 14 | from .jroIO_hf import * |
|
|
15 | 15 | |
|
|
16 | 16 | from .jroIO_madrigal import * |
|
|
17 | 17 | |
|
|
18 | 18 | from .bltrIO_param import * |
|
|
19 | 19 | from .bltrIO_spectra import * |
|
|
20 | 20 | from .jroIO_mira35c import * |
|
|
21 | 21 | from .julIO_param import * |
|
|
22 | 22 | |
|
|
23 | from .pxIO_param import * No newline at end of file | |
|
|
23 | from .pxIO_param import * | |
|
|
24 | from .jroIO_simulator import * No newline at end of file | |
| @@ -1,1580 +1,1580 | |||
|
|
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 |
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11 | 11 | import fnmatch |
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12 | 12 | import inspect |
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13 | 13 | import time |
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14 | 14 | import datetime |
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15 | 15 | import zmq |
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16 | 16 | |
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17 | from schainpy.model.proc.jroproc_base import Operation | |
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17 | from schainpy.model.proc.jroproc_base import Operation, MPDecorator | |
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18 | 18 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
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19 | 19 | from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width |
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20 | 20 | from schainpy.utils import log |
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21 | 21 | import schainpy.admin |
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22 | 22 | |
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23 | 23 | LOCALTIME = True |
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24 | 24 | DT_DIRECTIVES = { |
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25 | 25 | '%Y': 4, |
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26 | 26 | '%y': 2, |
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27 | 27 | '%m': 2, |
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28 | 28 | '%d': 2, |
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29 | 29 | '%j': 3, |
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30 | 30 | '%H': 2, |
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31 | 31 | '%M': 2, |
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32 | 32 | '%S': 2, |
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33 | 33 | '%f': 6 |
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34 | 34 | } |
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35 | 35 | |
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36 | 36 | |
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37 | 37 | def isNumber(cad): |
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38 | 38 | """ |
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39 | 39 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
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40 | 40 | |
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41 | 41 | Excepciones: |
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42 | 42 | Si un determinado string no puede ser convertido a numero |
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43 | 43 | Input: |
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44 | 44 | str, string al cual se le analiza para determinar si convertible a un numero o no |
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45 | 45 | |
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46 | 46 | Return: |
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47 | 47 | True : si el string es uno numerico |
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48 | 48 | False : no es un string numerico |
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49 | 49 | """ |
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50 | 50 | try: |
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51 | 51 | float(cad) |
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52 | 52 | return True |
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53 | 53 | except: |
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54 | 54 | return False |
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55 | 55 | |
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56 | 56 | |
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57 | 57 | def isFileInEpoch(filename, startUTSeconds, endUTSeconds): |
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58 | 58 | """ |
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59 | 59 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
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60 | 60 | |
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61 | 61 | Inputs: |
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62 | 62 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
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63 | 63 | |
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64 | 64 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
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65 | 65 | segundos contados desde 01/01/1970. |
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66 | 66 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
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67 | 67 | segundos contados desde 01/01/1970. |
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68 | 68 | |
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69 | 69 | Return: |
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70 | 70 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
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71 | 71 | fecha especificado, de lo contrario retorna False. |
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72 | 72 | |
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73 | 73 | Excepciones: |
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74 | 74 | Si el archivo no existe o no puede ser abierto |
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75 | 75 | Si la cabecera no puede ser leida. |
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76 | 76 | |
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77 | 77 | """ |
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78 | 78 | basicHeaderObj = BasicHeader(LOCALTIME) |
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79 | 79 | |
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80 | 80 | try: |
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81 | 81 | fp = open(filename, 'rb') |
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82 | 82 | except IOError: |
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83 | 83 | print("The file %s can't be opened" % (filename)) |
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84 | 84 | return 0 |
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85 | 85 | |
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86 | 86 | sts = basicHeaderObj.read(fp) |
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87 | 87 | fp.close() |
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88 | 88 | |
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89 | 89 | if not(sts): |
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90 | 90 | print("Skipping the file %s because it has not a valid header" % (filename)) |
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91 | 91 | return 0 |
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92 | 92 | |
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93 | 93 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
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94 | 94 | return 0 |
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95 | 95 | |
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96 | 96 | return 1 |
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97 | 97 | |
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98 | 98 | |
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99 | 99 | def isTimeInRange(thisTime, startTime, endTime): |
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100 | 100 | if endTime >= startTime: |
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101 | 101 | if (thisTime < startTime) or (thisTime > endTime): |
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102 | 102 | return 0 |
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103 | 103 | return 1 |
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104 | 104 | else: |
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105 | 105 | if (thisTime < startTime) and (thisTime > endTime): |
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106 | 106 | return 0 |
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107 | 107 | return 1 |
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108 | 108 | |
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109 | 109 | |
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110 | 110 | def isFileInTimeRange(filename, startDate, endDate, startTime, endTime): |
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111 | 111 | """ |
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112 | 112 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
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113 | 113 | |
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114 | 114 | Inputs: |
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115 | 115 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
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116 | 116 | |
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117 | 117 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
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118 | 118 | |
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119 | 119 | endDate : fecha final del rango seleccionado en formato datetime.date |
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120 | 120 | |
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121 | 121 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
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122 | 122 | |
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123 | 123 | endTime : tiempo final del rango seleccionado en formato datetime.time |
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124 | 124 | |
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125 | 125 | Return: |
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126 | 126 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
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127 | 127 | fecha especificado, de lo contrario retorna False. |
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128 | 128 | |
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129 | 129 | Excepciones: |
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130 | 130 | Si el archivo no existe o no puede ser abierto |
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131 | 131 | Si la cabecera no puede ser leida. |
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132 | 132 | |
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133 | 133 | """ |
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134 | 134 | |
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135 | 135 | try: |
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136 | 136 | fp = open(filename, 'rb') |
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137 | 137 | except IOError: |
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138 | 138 | print("The file %s can't be opened" % (filename)) |
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139 | 139 | return None |
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140 | 140 | |
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141 | 141 | firstBasicHeaderObj = BasicHeader(LOCALTIME) |
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142 | 142 | systemHeaderObj = SystemHeader() |
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143 | 143 | radarControllerHeaderObj = RadarControllerHeader() |
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144 | 144 | processingHeaderObj = ProcessingHeader() |
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145 | 145 | |
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146 | 146 | lastBasicHeaderObj = BasicHeader(LOCALTIME) |
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147 | 147 | |
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148 | 148 | sts = firstBasicHeaderObj.read(fp) |
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149 | 149 | |
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150 | 150 | if not(sts): |
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151 | 151 | print("[Reading] Skipping the file %s because it has not a valid header" % (filename)) |
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152 | 152 | return None |
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153 | 153 | |
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154 | 154 | if not systemHeaderObj.read(fp): |
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155 | 155 | return None |
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156 | 156 | |
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157 | 157 | if not radarControllerHeaderObj.read(fp): |
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158 | 158 | return None |
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159 | 159 | |
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160 | 160 | if not processingHeaderObj.read(fp): |
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161 | 161 | return None |
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162 | 162 | |
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163 | 163 | filesize = os.path.getsize(filename) |
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164 | 164 | |
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165 | 165 | offset = processingHeaderObj.blockSize + 24 # header size |
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166 | 166 | |
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167 | 167 | if filesize <= offset: |
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168 | 168 | print("[Reading] %s: This file has not enough data" % filename) |
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169 | 169 | return None |
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170 | 170 | |
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171 | 171 | fp.seek(-offset, 2) |
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172 | 172 | |
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173 | 173 | sts = lastBasicHeaderObj.read(fp) |
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174 | 174 | |
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175 | 175 | fp.close() |
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176 | 176 | |
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177 | 177 | thisDatetime = lastBasicHeaderObj.datatime |
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178 | 178 | thisTime_last_block = thisDatetime.time() |
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179 | 179 | |
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180 | 180 | thisDatetime = firstBasicHeaderObj.datatime |
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181 | 181 | thisDate = thisDatetime.date() |
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182 | 182 | thisTime_first_block = thisDatetime.time() |
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183 | 183 | |
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184 | 184 | # General case |
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185 | 185 | # o>>>>>>>>>>>>>><<<<<<<<<<<<<<o |
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186 | 186 | #-----------o----------------------------o----------- |
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187 | 187 | # startTime endTime |
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188 | 188 | |
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189 | 189 | if endTime >= startTime: |
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190 | 190 | if (thisTime_last_block < startTime) or (thisTime_first_block > endTime): |
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191 | 191 | return None |
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192 | 192 | |
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193 | 193 | return thisDatetime |
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194 | 194 | |
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195 | 195 | # If endTime < startTime then endTime belongs to the next day |
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196 | 196 | |
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197 | 197 | #<<<<<<<<<<<o o>>>>>>>>>>> |
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198 | 198 | #-----------o----------------------------o----------- |
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199 | 199 | # endTime startTime |
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200 | 200 | |
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201 | 201 | if (thisDate == startDate) and (thisTime_last_block < startTime): |
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202 | 202 | return None |
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203 | 203 | |
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204 | 204 | if (thisDate == endDate) and (thisTime_first_block > endTime): |
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205 | 205 | return None |
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206 | 206 | |
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207 | 207 | if (thisTime_last_block < startTime) and (thisTime_first_block > endTime): |
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208 | 208 | return None |
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209 | 209 | |
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210 | 210 | return thisDatetime |
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211 | 211 | |
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212 | 212 | |
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213 | 213 | def isFolderInDateRange(folder, startDate=None, endDate=None): |
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214 | 214 | """ |
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215 | 215 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
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216 | 216 | |
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217 | 217 | Inputs: |
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218 | 218 | folder : nombre completo del directorio. |
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219 | 219 | Su formato deberia ser "/path_root/?YYYYDDD" |
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220 | 220 | |
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221 | 221 | siendo: |
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222 | 222 | YYYY : Anio (ejemplo 2015) |
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223 | 223 | DDD : Dia del anio (ejemplo 305) |
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224 | 224 | |
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225 | 225 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
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226 | 226 | |
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227 | 227 | endDate : fecha final del rango seleccionado en formato datetime.date |
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228 | 228 | |
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229 | 229 | Return: |
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230 | 230 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
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231 | 231 | fecha especificado, de lo contrario retorna False. |
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232 | 232 | Excepciones: |
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233 | 233 | Si el directorio no tiene el formato adecuado |
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234 | 234 | """ |
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235 | 235 | |
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236 | 236 | basename = os.path.basename(folder) |
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237 | 237 | |
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238 | 238 | if not isRadarFolder(basename): |
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239 | 239 | print("The folder %s has not the rigth format" % folder) |
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240 | 240 | return 0 |
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241 | 241 | |
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242 | 242 | if startDate and endDate: |
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243 | 243 | thisDate = getDateFromRadarFolder(basename) |
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244 | 244 | |
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245 | 245 | if thisDate < startDate: |
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246 | 246 | return 0 |
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247 | 247 | |
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248 | 248 | if thisDate > endDate: |
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249 | 249 | return 0 |
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250 | 250 | |
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251 | 251 | return 1 |
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252 | 252 | |
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253 | 253 | |
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254 | 254 | def isFileInDateRange(filename, startDate=None, endDate=None): |
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255 | 255 | """ |
|
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256 | 256 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
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257 | 257 | |
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258 | 258 | Inputs: |
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259 | 259 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
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260 | 260 | |
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261 | 261 | Su formato deberia ser "?YYYYDDDsss" |
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262 | 262 | |
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263 | 263 | siendo: |
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264 | 264 | YYYY : Anio (ejemplo 2015) |
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265 | 265 | DDD : Dia del anio (ejemplo 305) |
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266 | 266 | sss : set |
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267 | 267 | |
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268 | 268 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
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269 | 269 | |
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270 | 270 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
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271 | 271 | |
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272 | 272 | Return: |
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|
273 | 273 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
274 | 274 | fecha especificado, de lo contrario retorna False. |
|
|
275 | 275 | Excepciones: |
|
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276 | 276 | Si el archivo no tiene el formato adecuado |
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277 | 277 | """ |
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278 | 278 | |
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279 | 279 | basename = os.path.basename(filename) |
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280 | 280 | |
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281 | 281 | if not isRadarFile(basename): |
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282 | 282 | print("The filename %s has not the rigth format" % filename) |
|
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283 | 283 | return 0 |
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284 | 284 | |
|
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285 | 285 | if startDate and endDate: |
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286 | 286 | thisDate = getDateFromRadarFile(basename) |
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287 | 287 | |
|
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288 | 288 | if thisDate < startDate: |
|
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289 | 289 | return 0 |
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290 | 290 | |
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291 | 291 | if thisDate > endDate: |
|
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292 | 292 | return 0 |
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293 | 293 | |
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294 | 294 | return 1 |
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295 | 295 | |
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296 | 296 | |
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297 | 297 | def getFileFromSet(path, ext, set): |
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298 | 298 | validFilelist = [] |
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299 | 299 | fileList = os.listdir(path) |
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300 | 300 | |
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301 | 301 | # 0 1234 567 89A BCDE |
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302 | 302 | # H YYYY DDD SSS .ext |
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303 | 303 | |
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304 | 304 | for thisFile in fileList: |
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305 | 305 | try: |
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306 | 306 | year = int(thisFile[1:5]) |
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307 | 307 | doy = int(thisFile[5:8]) |
|
|
308 | 308 | except: |
|
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309 | 309 | continue |
|
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310 | 310 | |
|
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311 | 311 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
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312 | 312 | continue |
|
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313 | 313 | |
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314 | 314 | validFilelist.append(thisFile) |
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315 | 315 | |
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316 | 316 | myfile = fnmatch.filter( |
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317 | 317 | validFilelist, '*%4.4d%3.3d%3.3d*' % (year, doy, set)) |
|
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318 | 318 | |
|
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319 | 319 | if len(myfile) != 0: |
|
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320 | 320 | return myfile[0] |
|
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321 | 321 | else: |
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322 | 322 | filename = '*%4.4d%3.3d%3.3d%s' % (year, doy, set, ext.lower()) |
|
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323 | 323 | print('the filename %s does not exist' % filename) |
|
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324 | 324 | print('...going to the last file: ') |
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325 | 325 | |
|
|
326 | 326 | if validFilelist: |
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327 | 327 | validFilelist = sorted(validFilelist, key=str.lower) |
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328 | 328 | return validFilelist[-1] |
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329 | 329 | |
|
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330 | 330 | return None |
|
|
331 | 331 | |
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332 | 332 | |
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333 | 333 | def getlastFileFromPath(path, ext): |
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334 | 334 | """ |
|
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335 | 335 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
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336 | 336 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
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337 | 337 | |
|
|
338 | 338 | Input: |
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339 | 339 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
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340 | 340 | ext : extension de los files contenidos en una carpeta |
|
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341 | 341 | |
|
|
342 | 342 | Return: |
|
|
343 | 343 | El ultimo file de una determinada carpeta, no se considera el path. |
|
|
344 | 344 | """ |
|
|
345 | 345 | validFilelist = [] |
|
|
346 | 346 | fileList = os.listdir(path) |
|
|
347 | 347 | |
|
|
348 | 348 | # 0 1234 567 89A BCDE |
|
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349 | 349 | # H YYYY DDD SSS .ext |
|
|
350 | 350 | |
|
|
351 | 351 | for thisFile in fileList: |
|
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352 | 352 | |
|
|
353 | 353 | year = thisFile[1:5] |
|
|
354 | 354 | if not isNumber(year): |
|
|
355 | 355 | continue |
|
|
356 | 356 | |
|
|
357 | 357 | doy = thisFile[5:8] |
|
|
358 | 358 | if not isNumber(doy): |
|
|
359 | 359 | continue |
|
|
360 | 360 | |
|
|
361 | 361 | year = int(year) |
|
|
362 | 362 | doy = int(doy) |
|
|
363 | 363 | |
|
|
364 | 364 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
365 | 365 | continue |
|
|
366 | 366 | |
|
|
367 | 367 | validFilelist.append(thisFile) |
|
|
368 | 368 | |
|
|
369 | 369 | if validFilelist: |
|
|
370 | 370 | validFilelist = sorted(validFilelist, key=str.lower) |
|
|
371 | 371 | return validFilelist[-1] |
|
|
372 | 372 | |
|
|
373 | 373 | return None |
|
|
374 | 374 | |
|
|
375 | 375 | |
|
|
376 | 376 | def isRadarFolder(folder): |
|
|
377 | 377 | try: |
|
|
378 | 378 | year = int(folder[1:5]) |
|
|
379 | 379 | doy = int(folder[5:8]) |
|
|
380 | 380 | except: |
|
|
381 | 381 | return 0 |
|
|
382 | 382 | |
|
|
383 | 383 | return 1 |
|
|
384 | 384 | |
|
|
385 | 385 | |
|
|
386 | 386 | def isRadarFile(file): |
|
|
387 | 387 | try: |
|
|
388 | 388 | year = int(file[1:5]) |
|
|
389 | 389 | doy = int(file[5:8]) |
|
|
390 | 390 | set = int(file[8:11]) |
|
|
391 | 391 | except: |
|
|
392 | 392 | return 0 |
|
|
393 | 393 | |
|
|
394 | 394 | return 1 |
|
|
395 | 395 | |
|
|
396 | 396 | |
|
|
397 | 397 | def getDateFromRadarFile(file): |
|
|
398 | 398 | try: |
|
|
399 | 399 | year = int(file[1:5]) |
|
|
400 | 400 | doy = int(file[5:8]) |
|
|
401 | 401 | set = int(file[8:11]) |
|
|
402 | 402 | except: |
|
|
403 | 403 | return None |
|
|
404 | 404 | |
|
|
405 | 405 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy - 1) |
|
|
406 | 406 | return thisDate |
|
|
407 | 407 | |
|
|
408 | 408 | |
|
|
409 | 409 | def getDateFromRadarFolder(folder): |
|
|
410 | 410 | try: |
|
|
411 | 411 | year = int(folder[1:5]) |
|
|
412 | 412 | doy = int(folder[5:8]) |
|
|
413 | 413 | except: |
|
|
414 | 414 | return None |
|
|
415 | 415 | |
|
|
416 | 416 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy - 1) |
|
|
417 | 417 | return thisDate |
|
|
418 | 418 | |
|
|
419 | 419 | def parse_format(s, fmt): |
|
|
420 | 420 | |
|
|
421 | 421 | for i in range(fmt.count('%')): |
|
|
422 | 422 | x = fmt.index('%') |
|
|
423 | 423 | d = DT_DIRECTIVES[fmt[x:x+2]] |
|
|
424 | 424 | fmt = fmt.replace(fmt[x:x+2], s[x:x+d]) |
|
|
425 | 425 | return fmt |
|
|
426 | 426 | |
|
|
427 | 427 | class Reader(object): |
|
|
428 | 428 | |
|
|
429 | 429 | c = 3E8 |
|
|
430 | 430 | isConfig = False |
|
|
431 | 431 | dtype = None |
|
|
432 | 432 | pathList = [] |
|
|
433 | 433 | filenameList = [] |
|
|
434 | 434 | datetimeList = [] |
|
|
435 | 435 | filename = None |
|
|
436 | 436 | ext = None |
|
|
437 | 437 | flagIsNewFile = 1 |
|
|
438 | 438 | flagDiscontinuousBlock = 0 |
|
|
439 | 439 | flagIsNewBlock = 0 |
|
|
440 | 440 | flagNoMoreFiles = 0 |
|
|
441 | 441 | fp = None |
|
|
442 | 442 | firstHeaderSize = 0 |
|
|
443 | 443 | basicHeaderSize = 24 |
|
|
444 | 444 | versionFile = 1103 |
|
|
445 | 445 | fileSize = None |
|
|
446 | 446 | fileSizeByHeader = None |
|
|
447 | 447 | fileIndex = -1 |
|
|
448 | 448 | profileIndex = None |
|
|
449 | 449 | blockIndex = 0 |
|
|
450 | 450 | nTotalBlocks = 0 |
|
|
451 | 451 | maxTimeStep = 30 |
|
|
452 | 452 | lastUTTime = None |
|
|
453 | 453 | datablock = None |
|
|
454 | 454 | dataOut = None |
|
|
455 | 455 | getByBlock = False |
|
|
456 | 456 | path = None |
|
|
457 | 457 | startDate = None |
|
|
458 | 458 | endDate = None |
|
|
459 | 459 | startTime = datetime.time(0, 0, 0) |
|
|
460 | 460 | endTime = datetime.time(23, 59, 59) |
|
|
461 | 461 | set = None |
|
|
462 | 462 | expLabel = "" |
|
|
463 | 463 | online = False |
|
|
464 | 464 | delay = 60 |
|
|
465 | 465 | nTries = 3 # quantity tries |
|
|
466 | 466 | nFiles = 3 # number of files for searching |
|
|
467 | 467 | walk = True |
|
|
468 | 468 | getblock = False |
|
|
469 | 469 | nTxs = 1 |
|
|
470 | 470 | realtime = False |
|
|
471 | 471 | blocksize = 0 |
|
|
472 | 472 | blocktime = None |
|
|
473 | 473 | warnings = True |
|
|
474 | 474 | verbose = True |
|
|
475 | 475 | server = None |
|
|
476 | 476 | format = None |
|
|
477 | 477 | oneDDict = None |
|
|
478 | 478 | twoDDict = None |
|
|
479 | 479 | independentParam = None |
|
|
480 | 480 | filefmt = None |
|
|
481 | 481 | folderfmt = None |
|
|
482 | 482 | open_file = open |
|
|
483 | 483 | open_mode = 'rb' |
|
|
484 | 484 | |
|
|
485 | 485 | def run(self): |
|
|
486 | 486 | |
|
|
487 | 487 | raise NotImplementedError |
|
|
488 | 488 | |
|
|
489 | 489 | def getAllowedArgs(self): |
|
|
490 | 490 | if hasattr(self, '__attrs__'): |
|
|
491 | 491 | return self.__attrs__ |
|
|
492 | 492 | else: |
|
|
493 | 493 | return inspect.getargspec(self.run).args |
|
|
494 | 494 | |
|
|
495 | 495 | def set_kwargs(self, **kwargs): |
|
|
496 | 496 | |
|
|
497 | 497 | for key, value in kwargs.items(): |
|
|
498 | 498 | setattr(self, key, value) |
|
|
499 | 499 | |
|
|
500 | 500 | def find_folders(self, path, startDate, endDate, folderfmt, last=False): |
|
|
501 | 501 | |
|
|
502 | 502 | folders = [x for f in path.split(',') |
|
|
503 | 503 | for x in os.listdir(f) if os.path.isdir(os.path.join(f, x))] |
|
|
504 | 504 | folders.sort() |
|
|
505 | 505 | |
|
|
506 | 506 | if last: |
|
|
507 | 507 | folders = [folders[-1]] |
|
|
508 | 508 | |
|
|
509 | 509 | for folder in folders: |
|
|
510 | 510 | try: |
|
|
511 | 511 | dt = datetime.datetime.strptime(parse_format(folder, folderfmt), folderfmt).date() |
|
|
512 | 512 | if dt >= startDate and dt <= endDate: |
|
|
513 | 513 | yield os.path.join(path, folder) |
|
|
514 | 514 | else: |
|
|
515 | 515 | log.log('Skiping folder {}'.format(folder), self.name) |
|
|
516 | 516 | except Exception as e: |
|
|
517 | 517 | log.log('Skiping folder {}'.format(folder), self.name) |
|
|
518 | 518 | continue |
|
|
519 | 519 | return |
|
|
520 | 520 | |
|
|
521 | 521 | def find_files(self, folders, ext, filefmt, startDate=None, endDate=None, |
|
|
522 | 522 | expLabel='', last=False): |
|
|
523 | 523 | |
|
|
524 | 524 | for path in folders: |
|
|
525 | 525 | files = glob.glob1(path, '*{}'.format(ext)) |
|
|
526 | 526 | files.sort() |
|
|
527 | 527 | if last: |
|
|
528 | 528 | if files: |
|
|
529 | 529 | fo = files[-1] |
|
|
530 | 530 | try: |
|
|
531 | 531 | dt = datetime.datetime.strptime(parse_format(fo, filefmt), filefmt).date() |
|
|
532 | 532 | yield os.path.join(path, expLabel, fo) |
|
|
533 | 533 | except Exception as e: |
|
|
534 | 534 | pass |
|
|
535 | 535 | return |
|
|
536 | 536 | else: |
|
|
537 | 537 | return |
|
|
538 | 538 | |
|
|
539 | 539 | for fo in files: |
|
|
540 | 540 | try: |
|
|
541 | 541 | dt = datetime.datetime.strptime(parse_format(fo, filefmt), filefmt).date() |
|
|
542 | 542 | if dt >= startDate and dt <= endDate: |
|
|
543 | 543 | yield os.path.join(path, expLabel, fo) |
|
|
544 | 544 | else: |
|
|
545 | 545 | log.log('Skiping file {}'.format(fo), self.name) |
|
|
546 | 546 | except Exception as e: |
|
|
547 | 547 | log.log('Skiping file {}'.format(fo), self.name) |
|
|
548 | 548 | continue |
|
|
549 | 549 | |
|
|
550 | 550 | def searchFilesOffLine(self, path, startDate, endDate, |
|
|
551 | 551 | expLabel, ext, walk, |
|
|
552 | 552 | filefmt, folderfmt): |
|
|
553 | 553 | """Search files in offline mode for the given arguments |
|
|
554 | 554 | |
|
|
555 | 555 | Return: |
|
|
556 | 556 | Generator of files |
|
|
557 | 557 | """ |
|
|
558 | 558 | |
|
|
559 | 559 | if walk: |
|
|
560 | 560 | folders = self.find_folders( |
|
|
561 | 561 | path, startDate, endDate, folderfmt) |
|
|
562 | 562 | else: |
|
|
563 | 563 | folders = path.split(',') |
|
|
564 | 564 | |
|
|
565 | 565 | return self.find_files( |
|
|
566 | 566 | folders, ext, filefmt, startDate, endDate, expLabel) |
|
|
567 | 567 | |
|
|
568 | 568 | def searchFilesOnLine(self, path, startDate, endDate, |
|
|
569 | 569 | expLabel, ext, walk, |
|
|
570 | 570 | filefmt, folderfmt): |
|
|
571 | 571 | """Search for the last file of the last folder |
|
|
572 | 572 | |
|
|
573 | 573 | Arguments: |
|
|
574 | 574 | path : carpeta donde estan contenidos los files que contiene data |
|
|
575 | 575 | expLabel : Nombre del subexperimento (subfolder) |
|
|
576 | 576 | ext : extension de los files |
|
|
577 | 577 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
|
578 | 578 | |
|
|
579 | 579 | Return: |
|
|
580 | 580 | generator with the full path of last filename |
|
|
581 | 581 | """ |
|
|
582 | 582 | |
|
|
583 | 583 | if walk: |
|
|
584 | 584 | folders = self.find_folders( |
|
|
585 | 585 | path, startDate, endDate, folderfmt, last=True) |
|
|
586 | 586 | else: |
|
|
587 | 587 | folders = path.split(',') |
|
|
588 | 588 | |
|
|
589 | 589 | return self.find_files( |
|
|
590 | 590 | folders, ext, filefmt, startDate, endDate, expLabel, last=True) |
|
|
591 | 591 | |
|
|
592 | 592 | def setNextFile(self): |
|
|
593 | 593 | """Set the next file to be readed open it and parse de file header""" |
|
|
594 | 594 | |
|
|
595 | 595 | while True: |
|
|
596 | 596 | if self.fp != None: |
|
|
597 | 597 | self.fp.close() |
|
|
598 | 598 | |
|
|
599 | 599 | if self.online: |
|
|
600 | 600 | newFile = self.setNextFileOnline() |
|
|
601 | 601 | else: |
|
|
602 | 602 | newFile = self.setNextFileOffline() |
|
|
603 | 603 | |
|
|
604 | 604 | if not(newFile): |
|
|
605 | 605 | if self.online: |
|
|
606 | 606 | raise schainpy.admin.SchainError('Time to wait for new files reach') |
|
|
607 | 607 | else: |
|
|
608 | 608 | if self.fileIndex == -1: |
|
|
609 | 609 | raise schainpy.admin.SchainWarning('No files found in the given path') |
|
|
610 | 610 | else: |
|
|
611 | 611 | raise schainpy.admin.SchainWarning('No more files to read') |
|
|
612 | 612 | |
|
|
613 | 613 | if self.verifyFile(self.filename): |
|
|
614 | 614 | break |
|
|
615 | 615 | |
|
|
616 | 616 | log.log('Opening file: %s' % self.filename, self.name) |
|
|
617 | 617 | |
|
|
618 | 618 | self.readFirstHeader() |
|
|
619 | 619 | self.nReadBlocks = 0 |
|
|
620 | 620 | |
|
|
621 | 621 | def setNextFileOnline(self): |
|
|
622 | 622 | """Check for the next file to be readed in online mode. |
|
|
623 | 623 | |
|
|
624 | 624 | Set: |
|
|
625 | 625 | self.filename |
|
|
626 | 626 | self.fp |
|
|
627 | 627 | self.filesize |
|
|
628 | 628 | |
|
|
629 | 629 | Return: |
|
|
630 | 630 | boolean |
|
|
631 | 631 | |
|
|
632 | 632 | """ |
|
|
633 | 633 | nextFile = True |
|
|
634 | 634 | nextDay = False |
|
|
635 | 635 | |
|
|
636 | 636 | for nFiles in range(self.nFiles+1): |
|
|
637 | 637 | for nTries in range(self.nTries): |
|
|
638 | 638 | fullfilename, filename = self.checkForRealPath(nextFile, nextDay) |
|
|
639 | 639 | if fullfilename is not None: |
|
|
640 | 640 | break |
|
|
641 | 641 | log.warning( |
|
|
642 | 642 | "Waiting %0.2f sec for the next file: \"%s\" , try %02d ..." % (self.delay, filename, nTries + 1), |
|
|
643 | 643 | self.name) |
|
|
644 | 644 | time.sleep(self.delay) |
|
|
645 | 645 | nextFile = False |
|
|
646 | 646 | continue |
|
|
647 | 647 | |
|
|
648 | 648 | if fullfilename is not None: |
|
|
649 | 649 | break |
|
|
650 | 650 | |
|
|
651 | 651 | self.nTries = 1 |
|
|
652 | 652 | nextFile = True |
|
|
653 | 653 | |
|
|
654 | 654 | if nFiles == (self.nFiles - 1): |
|
|
655 | 655 | log.log('Trying with next day...', self.name) |
|
|
656 | 656 | nextDay = True |
|
|
657 | 657 | self.nTries = 3 |
|
|
658 | 658 | |
|
|
659 | 659 | if fullfilename: |
|
|
660 | 660 | self.fileSize = os.path.getsize(fullfilename) |
|
|
661 | 661 | self.filename = fullfilename |
|
|
662 | 662 | self.flagIsNewFile = 1 |
|
|
663 | 663 | if self.fp != None: |
|
|
664 | 664 | self.fp.close() |
|
|
665 | 665 | self.fp = self.open_file(fullfilename, self.open_mode) |
|
|
666 | 666 | self.flagNoMoreFiles = 0 |
|
|
667 | 667 | self.fileIndex += 1 |
|
|
668 | 668 | return 1 |
|
|
669 | 669 | else: |
|
|
670 | 670 | return 0 |
|
|
671 | 671 | |
|
|
672 | 672 | def setNextFileOffline(self): |
|
|
673 | 673 | """Open the next file to be readed in offline mode""" |
|
|
674 | 674 | |
|
|
675 | 675 | try: |
|
|
676 | 676 | filename = next(self.filenameList) |
|
|
677 | 677 | self.fileIndex +=1 |
|
|
678 | 678 | except StopIteration: |
|
|
679 | 679 | self.flagNoMoreFiles = 1 |
|
|
680 | 680 | return 0 |
|
|
681 | 681 | |
|
|
682 | 682 | self.filename = filename |
|
|
683 | 683 | self.fileSize = os.path.getsize(filename) |
|
|
684 | 684 | self.fp = self.open_file(filename, self.open_mode) |
|
|
685 | 685 | self.flagIsNewFile = 1 |
|
|
686 | 686 | |
|
|
687 | 687 | return 1 |
|
|
688 | 688 | |
|
|
689 | 689 | @staticmethod |
|
|
690 | 690 | def isDateTimeInRange(dt, startDate, endDate, startTime, endTime): |
|
|
691 | 691 | """Check if the given datetime is in range""" |
|
|
692 | 692 | |
|
|
693 | 693 | if startDate <= dt.date() <= endDate: |
|
|
694 | 694 | if startTime <= dt.time() <= endTime: |
|
|
695 | 695 | return True |
|
|
696 | 696 | return False |
|
|
697 | 697 | |
|
|
698 | 698 | def verifyFile(self, filename): |
|
|
699 | 699 | """Check for a valid file |
|
|
700 | 700 | |
|
|
701 | 701 | Arguments: |
|
|
702 | 702 | filename -- full path filename |
|
|
703 | 703 | |
|
|
704 | 704 | Return: |
|
|
705 | 705 | boolean |
|
|
706 | 706 | """ |
|
|
707 | 707 | |
|
|
708 | 708 | return True |
|
|
709 | 709 | |
|
|
710 | 710 | def checkForRealPath(self, nextFile, nextDay): |
|
|
711 | 711 | """Check if the next file to be readed exists""" |
|
|
712 | 712 | |
|
|
713 | 713 | raise NotImplementedError |
|
|
714 | 714 | |
|
|
715 | 715 | def readFirstHeader(self): |
|
|
716 | 716 | """Parse the file header""" |
|
|
717 | 717 | |
|
|
718 | 718 | pass |
|
|
719 | 719 | |
|
|
720 | 720 | class JRODataReader(Reader): |
|
|
721 | 721 | |
|
|
722 | 722 | utc = 0 |
|
|
723 | 723 | nReadBlocks = 0 |
|
|
724 | 724 | foldercounter = 0 |
|
|
725 | 725 | firstHeaderSize = 0 |
|
|
726 | 726 | basicHeaderSize = 24 |
|
|
727 | 727 | __isFirstTimeOnline = 1 |
|
|
728 | 728 | filefmt = "*%Y%j***" |
|
|
729 | 729 | folderfmt = "*%Y%j" |
|
|
730 | 730 | __attrs__ = ['path', 'startDate', 'endDate', 'startTime', 'endTime', 'online', 'delay', 'walk'] |
|
|
731 | 731 | |
|
|
732 | 732 | def getDtypeWidth(self): |
|
|
733 | 733 | |
|
|
734 | 734 | dtype_index = get_dtype_index(self.dtype) |
|
|
735 | 735 | dtype_width = get_dtype_width(dtype_index) |
|
|
736 | 736 | |
|
|
737 | 737 | return dtype_width |
|
|
738 | 738 | |
|
|
739 | 739 | def checkForRealPath(self, nextFile, nextDay): |
|
|
740 | 740 | """Check if the next file to be readed exists. |
|
|
741 | 741 | |
|
|
742 | 742 | Example : |
|
|
743 | 743 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
|
744 | 744 | |
|
|
745 | 745 | Entonces la funcion prueba con las siguientes combinaciones |
|
|
746 | 746 | .../.../y2009307367.ext |
|
|
747 | 747 | .../.../Y2009307367.ext |
|
|
748 | 748 | .../.../x2009307/y2009307367.ext |
|
|
749 | 749 | .../.../x2009307/Y2009307367.ext |
|
|
750 | 750 | .../.../X2009307/y2009307367.ext |
|
|
751 | 751 | .../.../X2009307/Y2009307367.ext |
|
|
752 | 752 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
|
753 | 753 | |
|
|
754 | 754 | Return: |
|
|
755 | 755 | str -- fullpath of the file |
|
|
756 | 756 | """ |
|
|
757 | 757 | |
|
|
758 | 758 | |
|
|
759 | 759 | if nextFile: |
|
|
760 | 760 | self.set += 1 |
|
|
761 | 761 | if nextDay: |
|
|
762 | 762 | self.set = 0 |
|
|
763 | 763 | self.doy += 1 |
|
|
764 | 764 | foldercounter = 0 |
|
|
765 | 765 | prefixDirList = [None, 'd', 'D'] |
|
|
766 | 766 | if self.ext.lower() == ".r": # voltage |
|
|
767 | 767 | prefixFileList = ['d', 'D'] |
|
|
768 | 768 | elif self.ext.lower() == ".pdata": # spectra |
|
|
769 | 769 | prefixFileList = ['p', 'P'] |
|
|
770 | 770 | |
|
|
771 | 771 | # barrido por las combinaciones posibles |
|
|
772 | 772 | for prefixDir in prefixDirList: |
|
|
773 | 773 | thispath = self.path |
|
|
774 | 774 | if prefixDir != None: |
|
|
775 | 775 | # formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
|
776 | 776 | if foldercounter == 0: |
|
|
777 | 777 | thispath = os.path.join(self.path, "%s%04d%03d" % |
|
|
778 | 778 | (prefixDir, self.year, self.doy)) |
|
|
779 | 779 | else: |
|
|
780 | 780 | thispath = os.path.join(self.path, "%s%04d%03d_%02d" % ( |
|
|
781 | 781 | prefixDir, self.year, self.doy, foldercounter)) |
|
|
782 | 782 | for prefixFile in prefixFileList: # barrido por las dos combinaciones posibles de "D" |
|
|
783 | 783 | # formo el nombre del file xYYYYDDDSSS.ext |
|
|
784 | 784 | filename = "%s%04d%03d%03d%s" % (prefixFile, self.year, self.doy, self.set, self.ext) |
|
|
785 | 785 | fullfilename = os.path.join( |
|
|
786 | 786 | thispath, filename) |
|
|
787 | 787 | |
|
|
788 | 788 | if os.path.exists(fullfilename): |
|
|
789 | 789 | return fullfilename, filename |
|
|
790 | 790 | |
|
|
791 | 791 | return None, filename |
|
|
792 | 792 | |
|
|
793 | 793 | def __waitNewBlock(self): |
|
|
794 | 794 | """ |
|
|
795 | 795 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|
796 | 796 | |
|
|
797 | 797 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|
798 | 798 | """ |
|
|
799 | 799 | if not self.online: |
|
|
800 | 800 | return 0 |
|
|
801 | 801 | |
|
|
802 | 802 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
|
803 | 803 | return 0 |
|
|
804 | 804 | |
|
|
805 | 805 | currentPointer = self.fp.tell() |
|
|
806 | 806 | |
|
|
807 | 807 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
808 | 808 | |
|
|
809 | 809 | for nTries in range(self.nTries): |
|
|
810 | 810 | |
|
|
811 | 811 | self.fp.close() |
|
|
812 | 812 | self.fp = open(self.filename, 'rb') |
|
|
813 | 813 | self.fp.seek(currentPointer) |
|
|
814 | 814 | |
|
|
815 | 815 | self.fileSize = os.path.getsize(self.filename) |
|
|
816 | 816 | currentSize = self.fileSize - currentPointer |
|
|
817 | 817 | |
|
|
818 | 818 | if (currentSize >= neededSize): |
|
|
819 | 819 | self.basicHeaderObj.read(self.fp) |
|
|
820 | 820 | return 1 |
|
|
821 | 821 | |
|
|
822 | 822 | if self.fileSize == self.fileSizeByHeader: |
|
|
823 | 823 | # self.flagEoF = True |
|
|
824 | 824 | return 0 |
|
|
825 | 825 | |
|
|
826 | 826 | print("[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries + 1)) |
|
|
827 | 827 | time.sleep(self.delay) |
|
|
828 | 828 | |
|
|
829 | 829 | return 0 |
|
|
830 | 830 | |
|
|
831 | 831 | def waitDataBlock(self, pointer_location, blocksize=None): |
|
|
832 | 832 | |
|
|
833 | 833 | currentPointer = pointer_location |
|
|
834 | 834 | if blocksize is None: |
|
|
835 | 835 | neededSize = self.processingHeaderObj.blockSize # + self.basicHeaderSize |
|
|
836 | 836 | else: |
|
|
837 | 837 | neededSize = blocksize |
|
|
838 | 838 | |
|
|
839 | 839 | for nTries in range(self.nTries): |
|
|
840 | 840 | self.fp.close() |
|
|
841 | 841 | self.fp = open(self.filename, 'rb') |
|
|
842 | 842 | self.fp.seek(currentPointer) |
|
|
843 | 843 | |
|
|
844 | 844 | self.fileSize = os.path.getsize(self.filename) |
|
|
845 | 845 | currentSize = self.fileSize - currentPointer |
|
|
846 | 846 | |
|
|
847 | 847 | if (currentSize >= neededSize): |
|
|
848 | 848 | return 1 |
|
|
849 | 849 | |
|
|
850 | 850 | log.warning( |
|
|
851 | 851 | "Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries + 1), |
|
|
852 | 852 | self.name |
|
|
853 | 853 | ) |
|
|
854 | 854 | time.sleep(self.delay) |
|
|
855 | 855 | |
|
|
856 | 856 | return 0 |
|
|
857 | 857 | |
|
|
858 | 858 | def __setNewBlock(self): |
|
|
859 | 859 | |
|
|
860 | 860 | if self.fp == None: |
|
|
861 | 861 | return 0 |
|
|
862 | 862 | |
|
|
863 | 863 | if self.flagIsNewFile: |
|
|
864 | 864 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
865 | 865 | return 1 |
|
|
866 | 866 | |
|
|
867 | 867 | if self.realtime: |
|
|
868 | 868 | self.flagDiscontinuousBlock = 1 |
|
|
869 | 869 | if not(self.setNextFile()): |
|
|
870 | 870 | return 0 |
|
|
871 | 871 | else: |
|
|
872 | 872 | return 1 |
|
|
873 | 873 | |
|
|
874 | 874 | currentSize = self.fileSize - self.fp.tell() |
|
|
875 | 875 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
876 | 876 | |
|
|
877 | 877 | if (currentSize >= neededSize): |
|
|
878 | 878 | self.basicHeaderObj.read(self.fp) |
|
|
879 | 879 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
880 | 880 | return 1 |
|
|
881 | 881 | |
|
|
882 | 882 | if self.__waitNewBlock(): |
|
|
883 | 883 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
884 | 884 | return 1 |
|
|
885 | 885 | |
|
|
886 | 886 | if not(self.setNextFile()): |
|
|
887 | 887 | return 0 |
|
|
888 | 888 | |
|
|
889 | 889 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime |
|
|
890 | 890 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
891 | 891 | |
|
|
892 | 892 | self.flagDiscontinuousBlock = 0 |
|
|
893 | 893 | |
|
|
894 | 894 | if deltaTime > self.maxTimeStep: |
|
|
895 | 895 | self.flagDiscontinuousBlock = 1 |
|
|
896 | 896 | |
|
|
897 | 897 | return 1 |
|
|
898 | 898 | |
|
|
899 | 899 | def readNextBlock(self): |
|
|
900 | 900 | |
|
|
901 | 901 | while True: |
|
|
902 | 902 | self.__setNewBlock() |
|
|
903 | 903 | |
|
|
904 | 904 | if not(self.readBlock()): |
|
|
905 | 905 | return 0 |
|
|
906 | 906 | |
|
|
907 | 907 | self.getBasicHeader() |
|
|
908 | 908 | |
|
|
909 | 909 | if not self.isDateTimeInRange(self.dataOut.datatime, self.startDate, self.endDate, self.startTime, self.endTime): |
|
|
910 | 910 | print("[Reading] Block No. %d/%d -> %s [Skipping]" % (self.nReadBlocks, |
|
|
911 | 911 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
912 | 912 | self.dataOut.datatime.ctime())) |
|
|
913 | 913 | continue |
|
|
914 | 914 | |
|
|
915 | 915 | break |
|
|
916 | 916 | |
|
|
917 | 917 | if self.verbose: |
|
|
918 | 918 | print("[Reading] Block No. %d/%d -> %s" % (self.nReadBlocks, |
|
|
919 | 919 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
920 | 920 | self.dataOut.datatime.ctime())) |
|
|
921 | 921 | return 1 |
|
|
922 | 922 | |
|
|
923 | 923 | def readFirstHeader(self): |
|
|
924 | 924 | |
|
|
925 | 925 | self.basicHeaderObj.read(self.fp) |
|
|
926 | 926 | self.systemHeaderObj.read(self.fp) |
|
|
927 | 927 | self.radarControllerHeaderObj.read(self.fp) |
|
|
928 | 928 | self.processingHeaderObj.read(self.fp) |
|
|
929 | 929 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
930 | 930 | |
|
|
931 | 931 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & |
|
|
932 | 932 | PROCFLAG.DATATYPE_MASK)) - numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
933 | 933 | if datatype == 0: |
|
|
934 | 934 | datatype_str = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) |
|
|
935 | 935 | elif datatype == 1: |
|
|
936 | 936 | datatype_str = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) |
|
|
937 | 937 | elif datatype == 2: |
|
|
938 | 938 | datatype_str = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) |
|
|
939 | 939 | elif datatype == 3: |
|
|
940 | 940 | datatype_str = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) |
|
|
941 | 941 | elif datatype == 4: |
|
|
942 | 942 | datatype_str = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) |
|
|
943 | 943 | elif datatype == 5: |
|
|
944 | 944 | datatype_str = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) |
|
|
945 | 945 | else: |
|
|
946 | 946 | raise ValueError('Data type was not defined') |
|
|
947 | 947 | |
|
|
948 | 948 | self.dtype = datatype_str |
|
|
949 | 949 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
950 | 950 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + \ |
|
|
951 | 951 | self.firstHeaderSize + self.basicHeaderSize * \ |
|
|
952 | 952 | (self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
953 | 953 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
954 | 954 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
955 | 955 | self.getBlockDimension() |
|
|
956 | 956 | |
|
|
957 | 957 | def verifyFile(self, filename, msgFlag=True): |
|
|
958 | 958 | |
|
|
959 | 959 | msg = None |
|
|
960 | 960 | |
|
|
961 | 961 | try: |
|
|
962 | 962 | fp = open(filename, 'rb') |
|
|
963 | 963 | except IOError: |
|
|
964 | 964 | |
|
|
965 | 965 | if msgFlag: |
|
|
966 | 966 | print("[Reading] File %s can't be opened" % (filename)) |
|
|
967 | 967 | |
|
|
968 | 968 | return False |
|
|
969 | 969 | |
|
|
970 | 970 | if self.waitDataBlock(0): |
|
|
971 | 971 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
972 | 972 | systemHeaderObj = SystemHeader() |
|
|
973 | 973 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
974 | 974 | processingHeaderObj = ProcessingHeader() |
|
|
975 | 975 | |
|
|
976 | 976 | if not(basicHeaderObj.read(fp)): |
|
|
977 | 977 | fp.close() |
|
|
978 | 978 | return False |
|
|
979 | 979 | |
|
|
980 | 980 | if not(systemHeaderObj.read(fp)): |
|
|
981 | 981 | fp.close() |
|
|
982 | 982 | return False |
|
|
983 | 983 | |
|
|
984 | 984 | if not(radarControllerHeaderObj.read(fp)): |
|
|
985 | 985 | fp.close() |
|
|
986 | 986 | return False |
|
|
987 | 987 | |
|
|
988 | 988 | if not(processingHeaderObj.read(fp)): |
|
|
989 | 989 | fp.close() |
|
|
990 | 990 | return False |
|
|
991 | 991 | |
|
|
992 | 992 | if not self.online: |
|
|
993 | 993 | dt1 = basicHeaderObj.datatime |
|
|
994 | 994 | fp.seek(self.fileSize-processingHeaderObj.blockSize-24) |
|
|
995 | 995 | if not(basicHeaderObj.read(fp)): |
|
|
996 | 996 | fp.close() |
|
|
997 | 997 | return False |
|
|
998 | 998 | dt2 = basicHeaderObj.datatime |
|
|
999 | 999 | if not self.isDateTimeInRange(dt1, self.startDate, self.endDate, self.startTime, self.endTime) and not \ |
|
|
1000 | 1000 | self.isDateTimeInRange(dt2, self.startDate, self.endDate, self.startTime, self.endTime): |
|
|
1001 | 1001 | return False |
|
|
1002 | 1002 | |
|
|
1003 | 1003 | fp.close() |
|
|
1004 | 1004 | |
|
|
1005 | 1005 | return True |
|
|
1006 | 1006 | |
|
|
1007 | 1007 | def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True, include_path=False): |
|
|
1008 | 1008 | |
|
|
1009 | 1009 | path_empty = True |
|
|
1010 | 1010 | |
|
|
1011 | 1011 | dateList = [] |
|
|
1012 | 1012 | pathList = [] |
|
|
1013 | 1013 | |
|
|
1014 | 1014 | multi_path = path.split(',') |
|
|
1015 | 1015 | |
|
|
1016 | 1016 | if not walk: |
|
|
1017 | 1017 | |
|
|
1018 | 1018 | for single_path in multi_path: |
|
|
1019 | 1019 | |
|
|
1020 | 1020 | if not os.path.isdir(single_path): |
|
|
1021 | 1021 | continue |
|
|
1022 | 1022 | |
|
|
1023 | 1023 | fileList = glob.glob1(single_path, "*" + ext) |
|
|
1024 | 1024 | |
|
|
1025 | 1025 | if not fileList: |
|
|
1026 | 1026 | continue |
|
|
1027 | 1027 | |
|
|
1028 | 1028 | path_empty = False |
|
|
1029 | 1029 | |
|
|
1030 | 1030 | fileList.sort() |
|
|
1031 | 1031 | |
|
|
1032 | 1032 | for thisFile in fileList: |
|
|
1033 | 1033 | |
|
|
1034 | 1034 | if not os.path.isfile(os.path.join(single_path, thisFile)): |
|
|
1035 | 1035 | continue |
|
|
1036 | 1036 | |
|
|
1037 | 1037 | if not isRadarFile(thisFile): |
|
|
1038 | 1038 | continue |
|
|
1039 | 1039 | |
|
|
1040 | 1040 | if not isFileInDateRange(thisFile, startDate, endDate): |
|
|
1041 | 1041 | continue |
|
|
1042 | 1042 | |
|
|
1043 | 1043 | thisDate = getDateFromRadarFile(thisFile) |
|
|
1044 | 1044 | |
|
|
1045 | 1045 | if thisDate in dateList or single_path in pathList: |
|
|
1046 | 1046 | continue |
|
|
1047 | 1047 | |
|
|
1048 | 1048 | dateList.append(thisDate) |
|
|
1049 | 1049 | pathList.append(single_path) |
|
|
1050 | 1050 | |
|
|
1051 | 1051 | else: |
|
|
1052 | 1052 | for single_path in multi_path: |
|
|
1053 | 1053 | |
|
|
1054 | 1054 | if not os.path.isdir(single_path): |
|
|
1055 | 1055 | continue |
|
|
1056 | 1056 | |
|
|
1057 | 1057 | dirList = [] |
|
|
1058 | 1058 | |
|
|
1059 | 1059 | for thisPath in os.listdir(single_path): |
|
|
1060 | 1060 | |
|
|
1061 | 1061 | if not os.path.isdir(os.path.join(single_path, thisPath)): |
|
|
1062 | 1062 | continue |
|
|
1063 | 1063 | |
|
|
1064 | 1064 | if not isRadarFolder(thisPath): |
|
|
1065 | 1065 | continue |
|
|
1066 | 1066 | |
|
|
1067 | 1067 | if not isFolderInDateRange(thisPath, startDate, endDate): |
|
|
1068 | 1068 | continue |
|
|
1069 | 1069 | |
|
|
1070 | 1070 | dirList.append(thisPath) |
|
|
1071 | 1071 | |
|
|
1072 | 1072 | if not dirList: |
|
|
1073 | 1073 | continue |
|
|
1074 | 1074 | |
|
|
1075 | 1075 | dirList.sort() |
|
|
1076 | 1076 | |
|
|
1077 | 1077 | for thisDir in dirList: |
|
|
1078 | 1078 | |
|
|
1079 | 1079 | datapath = os.path.join(single_path, thisDir, expLabel) |
|
|
1080 | 1080 | fileList = glob.glob1(datapath, "*" + ext) |
|
|
1081 | 1081 | |
|
|
1082 | 1082 | if not fileList: |
|
|
1083 | 1083 | continue |
|
|
1084 | 1084 | |
|
|
1085 | 1085 | path_empty = False |
|
|
1086 | 1086 | |
|
|
1087 | 1087 | thisDate = getDateFromRadarFolder(thisDir) |
|
|
1088 | 1088 | |
|
|
1089 | 1089 | pathList.append(datapath) |
|
|
1090 | 1090 | dateList.append(thisDate) |
|
|
1091 | 1091 | |
|
|
1092 | 1092 | dateList.sort() |
|
|
1093 | 1093 | |
|
|
1094 | 1094 | if walk: |
|
|
1095 | 1095 | pattern_path = os.path.join(multi_path[0], "[dYYYYDDD]", expLabel) |
|
|
1096 | 1096 | else: |
|
|
1097 | 1097 | pattern_path = multi_path[0] |
|
|
1098 | 1098 | |
|
|
1099 | 1099 | if path_empty: |
|
|
1100 | 1100 | raise schainpy.admin.SchainError("[Reading] No *%s files in %s for %s to %s" % (ext, pattern_path, startDate, endDate)) |
|
|
1101 | 1101 | else: |
|
|
1102 | 1102 | if not dateList: |
|
|
1103 | 1103 | raise schainpy.admin.SchainError("[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" % (startDate, endDate, ext, path)) |
|
|
1104 | 1104 | |
|
|
1105 | 1105 | if include_path: |
|
|
1106 | 1106 | return dateList, pathList |
|
|
1107 | 1107 | |
|
|
1108 | 1108 | return dateList |
|
|
1109 | 1109 | |
|
|
1110 | 1110 | def setup(self, **kwargs): |
|
|
1111 | 1111 | |
|
|
1112 | 1112 | self.set_kwargs(**kwargs) |
|
|
1113 | 1113 | if not self.ext.startswith('.'): |
|
|
1114 | 1114 | self.ext = '.{}'.format(self.ext) |
|
|
1115 | 1115 | |
|
|
1116 | 1116 | if self.server is not None: |
|
|
1117 | 1117 | if 'tcp://' in self.server: |
|
|
1118 | 1118 | address = server |
|
|
1119 | 1119 | else: |
|
|
1120 | 1120 | address = 'ipc:///tmp/%s' % self.server |
|
|
1121 | 1121 | self.server = address |
|
|
1122 | 1122 | self.context = zmq.Context() |
|
|
1123 | 1123 | self.receiver = self.context.socket(zmq.PULL) |
|
|
1124 | 1124 | self.receiver.connect(self.server) |
|
|
1125 | 1125 | time.sleep(0.5) |
|
|
1126 | 1126 | print('[Starting] ReceiverData from {}'.format(self.server)) |
|
|
1127 | 1127 | else: |
|
|
1128 | 1128 | self.server = None |
|
|
1129 | 1129 | if self.path == None: |
|
|
1130 | 1130 | raise ValueError("[Reading] The path is not valid") |
|
|
1131 | 1131 | |
|
|
1132 | 1132 | if self.online: |
|
|
1133 | 1133 | log.log("[Reading] Searching files in online mode...", self.name) |
|
|
1134 | 1134 | |
|
|
1135 | 1135 | for nTries in range(self.nTries): |
|
|
1136 | 1136 | fullpath = self.searchFilesOnLine(self.path, self.startDate, |
|
|
1137 | 1137 | self.endDate, self.expLabel, self.ext, self.walk, |
|
|
1138 | 1138 | self.filefmt, self.folderfmt) |
|
|
1139 | 1139 | |
|
|
1140 | 1140 | try: |
|
|
1141 | 1141 | fullpath = next(fullpath) |
|
|
1142 | 1142 | except: |
|
|
1143 | 1143 | fullpath = None |
|
|
1144 | 1144 | |
|
|
1145 | 1145 | if fullpath: |
|
|
1146 | 1146 | break |
|
|
1147 | 1147 | |
|
|
1148 | 1148 | log.warning( |
|
|
1149 | 1149 | 'Waiting {} sec for a valid file in {}: try {} ...'.format( |
|
|
1150 | 1150 | self.delay, self.path, nTries + 1), |
|
|
1151 | 1151 | self.name) |
|
|
1152 | 1152 | time.sleep(self.delay) |
|
|
1153 | 1153 | |
|
|
1154 | 1154 | if not(fullpath): |
|
|
1155 | 1155 | raise schainpy.admin.SchainError( |
|
|
1156 | 1156 | 'There isn\'t any valid file in {}'.format(self.path)) |
|
|
1157 | 1157 | |
|
|
1158 | 1158 | pathname, filename = os.path.split(fullpath) |
|
|
1159 | 1159 | self.year = int(filename[1:5]) |
|
|
1160 | 1160 | self.doy = int(filename[5:8]) |
|
|
1161 | 1161 | self.set = int(filename[8:11]) - 1 |
|
|
1162 | 1162 | else: |
|
|
1163 | 1163 | log.log("Searching files in {}".format(self.path), self.name) |
|
|
1164 | 1164 | self.filenameList = self.searchFilesOffLine(self.path, self.startDate, |
|
|
1165 | 1165 | self.endDate, self.expLabel, self.ext, self.walk, self.filefmt, self.folderfmt) |
|
|
1166 | 1166 | |
|
|
1167 | 1167 | self.setNextFile() |
|
|
1168 | 1168 | |
|
|
1169 | 1169 | return |
|
|
1170 | 1170 | |
|
|
1171 | 1171 | def getBasicHeader(self): |
|
|
1172 | 1172 | |
|
|
1173 | 1173 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond / \ |
|
|
1174 | 1174 | 1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
|
1175 | 1175 | |
|
|
1176 | 1176 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
|
1177 | 1177 | |
|
|
1178 | 1178 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
|
1179 | 1179 | |
|
|
1180 | 1180 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
|
1181 | 1181 | |
|
|
1182 | 1182 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
|
1183 | 1183 | |
|
|
1184 | 1184 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
|
1185 | 1185 | |
|
|
1186 | 1186 | self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds / self.nTxs |
|
|
1187 | 1187 | |
|
|
1188 | 1188 | # self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs |
|
|
1189 | 1189 | |
|
|
1190 | 1190 | def getFirstHeader(self): |
|
|
1191 | 1191 | |
|
|
1192 | 1192 | raise NotImplementedError |
|
|
1193 | 1193 | |
|
|
1194 | 1194 | def getData(self): |
|
|
1195 | 1195 | |
|
|
1196 | 1196 | raise NotImplementedError |
|
|
1197 | 1197 | |
|
|
1198 | 1198 | def hasNotDataInBuffer(self): |
|
|
1199 | 1199 | |
|
|
1200 | 1200 | raise NotImplementedError |
|
|
1201 | 1201 | |
|
|
1202 | 1202 | def readBlock(self): |
|
|
1203 | 1203 | |
|
|
1204 | 1204 | raise NotImplementedError |
|
|
1205 | 1205 | |
|
|
1206 | 1206 | def isEndProcess(self): |
|
|
1207 | 1207 | |
|
|
1208 | 1208 | return self.flagNoMoreFiles |
|
|
1209 | 1209 | |
|
|
1210 | 1210 | def printReadBlocks(self): |
|
|
1211 | 1211 | |
|
|
1212 | 1212 | print("[Reading] Number of read blocks per file %04d" % self.nReadBlocks) |
|
|
1213 | 1213 | |
|
|
1214 | 1214 | def printTotalBlocks(self): |
|
|
1215 | 1215 | |
|
|
1216 | 1216 | print("[Reading] Number of read blocks %04d" % self.nTotalBlocks) |
|
|
1217 | 1217 | |
|
|
1218 | 1218 | def run(self, **kwargs): |
|
|
1219 | 1219 | """ |
|
|
1220 | 1220 | |
|
|
1221 | 1221 | Arguments: |
|
|
1222 | 1222 | path : |
|
|
1223 | 1223 | startDate : |
|
|
1224 | 1224 | endDate : |
|
|
1225 | 1225 | startTime : |
|
|
1226 | 1226 | endTime : |
|
|
1227 | 1227 | set : |
|
|
1228 | 1228 | expLabel : |
|
|
1229 | 1229 | ext : |
|
|
1230 | 1230 | online : |
|
|
1231 | 1231 | delay : |
|
|
1232 | 1232 | walk : |
|
|
1233 | 1233 | getblock : |
|
|
1234 | 1234 | nTxs : |
|
|
1235 | 1235 | realtime : |
|
|
1236 | 1236 | blocksize : |
|
|
1237 | 1237 | blocktime : |
|
|
1238 | 1238 | skip : |
|
|
1239 | 1239 | cursor : |
|
|
1240 | 1240 | warnings : |
|
|
1241 | 1241 | server : |
|
|
1242 | 1242 | verbose : |
|
|
1243 | 1243 | format : |
|
|
1244 | 1244 | oneDDict : |
|
|
1245 | 1245 | twoDDict : |
|
|
1246 | 1246 | independentParam : |
|
|
1247 | 1247 | """ |
|
|
1248 | 1248 | |
|
|
1249 | 1249 | if not(self.isConfig): |
|
|
1250 | 1250 | self.setup(**kwargs) |
|
|
1251 | 1251 | self.isConfig = True |
|
|
1252 | 1252 | if self.server is None: |
|
|
1253 | 1253 | self.getData() |
|
|
1254 | 1254 | else: |
|
|
1255 | 1255 | self.getFromServer() |
|
|
1256 | 1256 | |
|
|
1257 | 1257 | |
|
|
1258 | 1258 | class JRODataWriter(Reader): |
|
|
1259 | 1259 | |
|
|
1260 | 1260 | """ |
|
|
1261 | 1261 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
1262 | 1262 | de los datos siempre se realiza por bloques. |
|
|
1263 | 1263 | """ |
|
|
1264 | 1264 | |
|
|
1265 | 1265 | setFile = None |
|
|
1266 | 1266 | profilesPerBlock = None |
|
|
1267 | 1267 | blocksPerFile = None |
|
|
1268 | 1268 | nWriteBlocks = 0 |
|
|
1269 | 1269 | fileDate = None |
|
|
1270 | 1270 | |
|
|
1271 | 1271 | def __init__(self, dataOut=None): |
|
|
1272 | 1272 | raise NotImplementedError |
|
|
1273 | 1273 | |
|
|
1274 | 1274 | def hasAllDataInBuffer(self): |
|
|
1275 | 1275 | raise NotImplementedError |
|
|
1276 | 1276 | |
|
|
1277 | 1277 | def setBlockDimension(self): |
|
|
1278 | 1278 | raise NotImplementedError |
|
|
1279 | 1279 | |
|
|
1280 | 1280 | def writeBlock(self): |
|
|
1281 | 1281 | raise NotImplementedError |
|
|
1282 | 1282 | |
|
|
1283 | 1283 | def putData(self): |
|
|
1284 | 1284 | raise NotImplementedError |
|
|
1285 | 1285 | |
|
|
1286 | 1286 | def getDtypeWidth(self): |
|
|
1287 | 1287 | |
|
|
1288 | 1288 | dtype_index = get_dtype_index(self.dtype) |
|
|
1289 | 1289 | dtype_width = get_dtype_width(dtype_index) |
|
|
1290 | 1290 | |
|
|
1291 | 1291 | return dtype_width |
|
|
1292 | 1292 | |
|
|
1293 | 1293 | def getProcessFlags(self): |
|
|
1294 | 1294 | |
|
|
1295 | 1295 | processFlags = 0 |
|
|
1296 | 1296 | |
|
|
1297 | 1297 | dtype_index = get_dtype_index(self.dtype) |
|
|
1298 | 1298 | procflag_dtype = get_procflag_dtype(dtype_index) |
|
|
1299 | 1299 | |
|
|
1300 | 1300 | processFlags += procflag_dtype |
|
|
1301 | 1301 | |
|
|
1302 | 1302 | if self.dataOut.flagDecodeData: |
|
|
1303 | 1303 | processFlags += PROCFLAG.DECODE_DATA |
|
|
1304 | 1304 | |
|
|
1305 | 1305 | if self.dataOut.flagDeflipData: |
|
|
1306 | 1306 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
1307 | 1307 | |
|
|
1308 | 1308 | if self.dataOut.code is not None: |
|
|
1309 | 1309 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
1310 | 1310 | |
|
|
1311 | 1311 | if self.dataOut.nCohInt > 1: |
|
|
1312 | 1312 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
|
1313 | 1313 | |
|
|
1314 | 1314 | if self.dataOut.type == "Spectra": |
|
|
1315 | 1315 | if self.dataOut.nIncohInt > 1: |
|
|
1316 | 1316 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION |
|
|
1317 | 1317 | |
|
|
1318 | 1318 | if self.dataOut.data_dc is not None: |
|
|
1319 | 1319 | processFlags += PROCFLAG.SAVE_CHANNELS_DC |
|
|
1320 | 1320 | |
|
|
1321 | 1321 | if self.dataOut.flagShiftFFT: |
|
|
1322 | 1322 | processFlags += PROCFLAG.SHIFT_FFT_DATA |
|
|
1323 | 1323 | |
|
|
1324 | 1324 | return processFlags |
|
|
1325 | 1325 | |
|
|
1326 | 1326 | def setBasicHeader(self): |
|
|
1327 | 1327 | |
|
|
1328 | 1328 | self.basicHeaderObj.size = self.basicHeaderSize # bytes |
|
|
1329 | 1329 | self.basicHeaderObj.version = self.versionFile |
|
|
1330 | 1330 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
1331 | 1331 | utc = numpy.floor(self.dataOut.utctime) |
|
|
1332 | 1332 | milisecond = (self.dataOut.utctime - utc) * 1000.0 |
|
|
1333 | 1333 | self.basicHeaderObj.utc = utc |
|
|
1334 | 1334 | self.basicHeaderObj.miliSecond = milisecond |
|
|
1335 | 1335 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
|
1336 | 1336 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
|
1337 | 1337 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
|
1338 | 1338 | |
|
|
1339 | 1339 | def setFirstHeader(self): |
|
|
1340 | 1340 | """ |
|
|
1341 | 1341 | Obtiene una copia del First Header |
|
|
1342 | 1342 | |
|
|
1343 | 1343 | Affected: |
|
|
1344 | 1344 | |
|
|
1345 | 1345 | self.basicHeaderObj |
|
|
1346 | 1346 | self.systemHeaderObj |
|
|
1347 | 1347 | self.radarControllerHeaderObj |
|
|
1348 | 1348 | self.processingHeaderObj self. |
|
|
1349 | 1349 | |
|
|
1350 | 1350 | Return: |
|
|
1351 | 1351 | None |
|
|
1352 | 1352 | """ |
|
|
1353 | 1353 | |
|
|
1354 | 1354 | raise NotImplementedError |
|
|
1355 | 1355 | |
|
|
1356 | 1356 | def __writeFirstHeader(self): |
|
|
1357 | 1357 | """ |
|
|
1358 | 1358 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
1359 | 1359 | |
|
|
1360 | 1360 | Affected: |
|
|
1361 | 1361 | __dataType |
|
|
1362 | 1362 | |
|
|
1363 | 1363 | Return: |
|
|
1364 | 1364 | None |
|
|
1365 | 1365 | """ |
|
|
1366 | 1366 | |
|
|
1367 | 1367 | # CALCULAR PARAMETROS |
|
|
1368 | 1368 | |
|
|
1369 | 1369 | sizeLongHeader = self.systemHeaderObj.size + \ |
|
|
1370 | 1370 | self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
1371 | 1371 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
1372 | 1372 | |
|
|
1373 | 1373 | self.basicHeaderObj.write(self.fp) |
|
|
1374 | 1374 | self.systemHeaderObj.write(self.fp) |
|
|
1375 | 1375 | self.radarControllerHeaderObj.write(self.fp) |
|
|
1376 | 1376 | self.processingHeaderObj.write(self.fp) |
|
|
1377 | 1377 | |
|
|
1378 | 1378 | def __setNewBlock(self): |
|
|
1379 | 1379 | """ |
|
|
1380 | 1380 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
1381 | 1381 | |
|
|
1382 | 1382 | Return: |
|
|
1383 | 1383 | 0 : si no pudo escribir nada |
|
|
1384 | 1384 | 1 : Si escribio el Basic el First Header |
|
|
1385 | 1385 | """ |
|
|
1386 | 1386 | if self.fp == None: |
|
|
1387 | 1387 | self.setNextFile() |
|
|
1388 | 1388 | |
|
|
1389 | 1389 | if self.flagIsNewFile: |
|
|
1390 | 1390 | return 1 |
|
|
1391 | 1391 | |
|
|
1392 | 1392 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
1393 | 1393 | self.basicHeaderObj.write(self.fp) |
|
|
1394 | 1394 | return 1 |
|
|
1395 | 1395 | |
|
|
1396 | 1396 | if not(self.setNextFile()): |
|
|
1397 | 1397 | return 0 |
|
|
1398 | 1398 | |
|
|
1399 | 1399 | return 1 |
|
|
1400 | 1400 | |
|
|
1401 | 1401 | def writeNextBlock(self): |
|
|
1402 | 1402 | """ |
|
|
1403 | 1403 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
1404 | 1404 | |
|
|
1405 | 1405 | Return: |
|
|
1406 | 1406 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
1407 | 1407 | 1 : Si no pudo escribir el bloque de datos |
|
|
1408 | 1408 | """ |
|
|
1409 | 1409 | if not(self.__setNewBlock()): |
|
|
1410 | 1410 | return 0 |
|
|
1411 | 1411 | |
|
|
1412 | 1412 | self.writeBlock() |
|
|
1413 | 1413 | |
|
|
1414 | 1414 | print("[Writing] Block No. %d/%d" % (self.blockIndex, |
|
|
1415 | 1415 | self.processingHeaderObj.dataBlocksPerFile)) |
|
|
1416 | 1416 | |
|
|
1417 | 1417 | return 1 |
|
|
1418 | 1418 | |
|
|
1419 | 1419 | def setNextFile(self): |
|
|
1420 | 1420 | """Determina el siguiente file que sera escrito |
|
|
1421 | 1421 | |
|
|
1422 | 1422 | Affected: |
|
|
1423 | 1423 | self.filename |
|
|
1424 | 1424 | self.subfolder |
|
|
1425 | 1425 | self.fp |
|
|
1426 | 1426 | self.setFile |
|
|
1427 | 1427 | self.flagIsNewFile |
|
|
1428 | 1428 | |
|
|
1429 | 1429 | Return: |
|
|
1430 | 1430 | 0 : Si el archivo no puede ser escrito |
|
|
1431 | 1431 | 1 : Si el archivo esta listo para ser escrito |
|
|
1432 | 1432 | """ |
|
|
1433 | 1433 | ext = self.ext |
|
|
1434 | 1434 | path = self.path |
|
|
1435 | 1435 | |
|
|
1436 | 1436 | if self.fp != None: |
|
|
1437 | 1437 | self.fp.close() |
|
|
1438 | 1438 | |
|
|
1439 | 1439 | if not os.path.exists(path): |
|
|
1440 | 1440 | os.mkdir(path) |
|
|
1441 | 1441 | |
|
|
1442 | 1442 | timeTuple = time.localtime(self.dataOut.utctime) |
|
|
1443 | 1443 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year, timeTuple.tm_yday) |
|
|
1444 | 1444 | |
|
|
1445 | 1445 | fullpath = os.path.join(path, subfolder) |
|
|
1446 | 1446 | setFile = self.setFile |
|
|
1447 | 1447 | |
|
|
1448 | 1448 | if not(os.path.exists(fullpath)): |
|
|
1449 | 1449 | os.mkdir(fullpath) |
|
|
1450 | 1450 | setFile = -1 # inicializo mi contador de seteo |
|
|
1451 | 1451 | else: |
|
|
1452 | 1452 | filesList = os.listdir(fullpath) |
|
|
1453 | 1453 | if len(filesList) > 0: |
|
|
1454 | 1454 | filesList = sorted(filesList, key=str.lower) |
|
|
1455 | 1455 | filen = filesList[-1] |
|
|
1456 | 1456 | # el filename debera tener el siguiente formato |
|
|
1457 | 1457 | # 0 1234 567 89A BCDE (hex) |
|
|
1458 | 1458 | # x YYYY DDD SSS .ext |
|
|
1459 | 1459 | if isNumber(filen[8:11]): |
|
|
1460 | 1460 | # inicializo mi contador de seteo al seteo del ultimo file |
|
|
1461 | 1461 | setFile = int(filen[8:11]) |
|
|
1462 | 1462 | else: |
|
|
1463 | 1463 | setFile = -1 |
|
|
1464 | 1464 | else: |
|
|
1465 | 1465 | setFile = -1 # inicializo mi contador de seteo |
|
|
1466 | 1466 | |
|
|
1467 | 1467 | setFile += 1 |
|
|
1468 | 1468 | |
|
|
1469 | 1469 | # If this is a new day it resets some values |
|
|
1470 | 1470 | if self.dataOut.datatime.date() > self.fileDate: |
|
|
1471 | 1471 | setFile = 0 |
|
|
1472 | 1472 | self.nTotalBlocks = 0 |
|
|
1473 | 1473 | |
|
|
1474 | 1474 | filen = '{}{:04d}{:03d}{:03d}{}'.format( |
|
|
1475 | 1475 | self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext) |
|
|
1476 | 1476 | |
|
|
1477 | 1477 | filename = os.path.join(path, subfolder, filen) |
|
|
1478 | 1478 | |
|
|
1479 | 1479 | fp = open(filename, 'wb') |
|
|
1480 | 1480 | |
|
|
1481 | 1481 | self.blockIndex = 0 |
|
|
1482 | 1482 | self.filename = filename |
|
|
1483 | 1483 | self.subfolder = subfolder |
|
|
1484 | 1484 | self.fp = fp |
|
|
1485 | 1485 | self.setFile = setFile |
|
|
1486 | 1486 | self.flagIsNewFile = 1 |
|
|
1487 | 1487 | self.fileDate = self.dataOut.datatime.date() |
|
|
1488 | 1488 | self.setFirstHeader() |
|
|
1489 | 1489 | |
|
|
1490 | 1490 | print('[Writing] Opening file: %s' % self.filename) |
|
|
1491 | 1491 | |
|
|
1492 | 1492 | self.__writeFirstHeader() |
|
|
1493 | 1493 | |
|
|
1494 | 1494 | return 1 |
|
|
1495 | 1495 | |
|
|
1496 | 1496 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4): |
|
|
1497 | 1497 | """ |
|
|
1498 | 1498 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
1499 | 1499 | |
|
|
1500 | 1500 | Inputs: |
|
|
1501 | 1501 | path : directory where data will be saved |
|
|
1502 | 1502 | profilesPerBlock : number of profiles per block |
|
|
1503 | 1503 | set : initial file set |
|
|
1504 | 1504 | datatype : An integer number that defines data type: |
|
|
1505 | 1505 | 0 : int8 (1 byte) |
|
|
1506 | 1506 | 1 : int16 (2 bytes) |
|
|
1507 | 1507 | 2 : int32 (4 bytes) |
|
|
1508 | 1508 | 3 : int64 (8 bytes) |
|
|
1509 | 1509 | 4 : float32 (4 bytes) |
|
|
1510 | 1510 | 5 : double64 (8 bytes) |
|
|
1511 | 1511 | |
|
|
1512 | 1512 | Return: |
|
|
1513 | 1513 | 0 : Si no realizo un buen seteo |
|
|
1514 | 1514 | 1 : Si realizo un buen seteo |
|
|
1515 | 1515 | """ |
|
|
1516 | 1516 | |
|
|
1517 | 1517 | if ext == None: |
|
|
1518 | 1518 | ext = self.ext |
|
|
1519 | 1519 | |
|
|
1520 | 1520 | self.ext = ext.lower() |
|
|
1521 | 1521 | |
|
|
1522 | 1522 | self.path = path |
|
|
1523 | 1523 | |
|
|
1524 | 1524 | if set is None: |
|
|
1525 | 1525 | self.setFile = -1 |
|
|
1526 | 1526 | else: |
|
|
1527 | 1527 | self.setFile = set - 1 |
|
|
1528 | 1528 | |
|
|
1529 | 1529 | self.blocksPerFile = blocksPerFile |
|
|
1530 | 1530 | self.profilesPerBlock = profilesPerBlock |
|
|
1531 | 1531 | self.dataOut = dataOut |
|
|
1532 | 1532 | self.fileDate = self.dataOut.datatime.date() |
|
|
1533 | 1533 | self.dtype = self.dataOut.dtype |
|
|
1534 | 1534 | |
|
|
1535 | 1535 | if datatype is not None: |
|
|
1536 | 1536 | self.dtype = get_numpy_dtype(datatype) |
|
|
1537 | 1537 | |
|
|
1538 | 1538 | if not(self.setNextFile()): |
|
|
1539 | 1539 | print("[Writing] There isn't a next file") |
|
|
1540 | 1540 | return 0 |
|
|
1541 | 1541 | |
|
|
1542 | 1542 | self.setBlockDimension() |
|
|
1543 | 1543 | |
|
|
1544 | 1544 | return 1 |
|
|
1545 | 1545 | |
|
|
1546 | 1546 | def run(self, dataOut, path, blocksPerFile=100, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs): |
|
|
1547 | 1547 | |
|
|
1548 | 1548 | if not(self.isConfig): |
|
|
1549 | 1549 | |
|
|
1550 | 1550 | self.setup(dataOut, path, blocksPerFile, profilesPerBlock=profilesPerBlock, |
|
|
1551 | 1551 | set=set, ext=ext, datatype=datatype, **kwargs) |
|
|
1552 | 1552 | self.isConfig = True |
|
|
1553 | 1553 | |
|
|
1554 | 1554 | self.dataOut = dataOut |
|
|
1555 | 1555 | self.putData() |
|
|
1556 | 1556 | return self.dataOut |
|
|
1557 | 1557 | |
|
|
1558 | @MPDecorator | |
|
|
1558 | 1559 | class printInfo(Operation): |
|
|
1559 | 1560 | |
|
|
1560 | 1561 | def __init__(self): |
|
|
1561 | 1562 | |
|
|
1562 | 1563 | Operation.__init__(self) |
|
|
1563 | 1564 | self.__printInfo = True |
|
|
1564 | 1565 | |
|
|
1565 | 1566 | def run(self, dataOut, headers = ['systemHeaderObj', 'radarControllerHeaderObj', 'processingHeaderObj']): |
|
|
1566 | 1567 | if self.__printInfo == False: |
|
|
1567 |
return |
|
|
|
1568 | return | |
|
|
1568 | 1569 | |
|
|
1569 | 1570 | for header in headers: |
|
|
1570 | 1571 | if hasattr(dataOut, header): |
|
|
1571 | 1572 | obj = getattr(dataOut, header) |
|
|
1572 | 1573 | if hasattr(obj, 'printInfo'): |
|
|
1573 | 1574 | obj.printInfo() |
|
|
1574 | 1575 | else: |
|
|
1575 | 1576 | print(obj) |
|
|
1576 | 1577 | else: |
|
|
1577 | 1578 | log.warning('Header {} Not found in object'.format(header)) |
|
|
1578 | 1579 | |
|
|
1579 | 1580 | self.__printInfo = False |
|
|
1580 | return dataOut No newline at end of file | |
| @@ -1,1557 +1,1574 | |||
|
|
1 | 1 | import sys |
|
|
2 | 2 | import numpy,math |
|
|
3 | 3 | from scipy import interpolate |
|
|
4 | 4 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation, MPDecorator |
|
|
5 | 5 | from schainpy.model.data.jrodata import Voltage |
|
|
6 | 6 | from schainpy.utils import log |
|
|
7 | 7 | from time import time |
|
|
8 | 8 | |
|
|
9 | 9 | |
|
|
10 | 10 | |
|
|
11 | 11 | class VoltageProc(ProcessingUnit): |
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12 | 12 | |
|
|
13 | 13 | def __init__(self): |
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14 | 14 | |
|
|
15 | 15 | ProcessingUnit.__init__(self) |
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16 | 16 | |
|
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17 | 17 | self.dataOut = Voltage() |
|
|
18 | 18 | self.flip = 1 |
|
|
19 | 19 | self.setupReq = False |
|
|
20 | 20 | |
|
|
21 | 21 | def run(self): |
|
|
22 | 22 | |
|
|
23 | 23 | if self.dataIn.type == 'AMISR': |
|
|
24 | 24 | self.__updateObjFromAmisrInput() |
|
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25 | 25 | |
|
|
26 | 26 | if self.dataIn.type == 'Voltage': |
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|
27 | 27 | self.dataOut.copy(self.dataIn) |
|
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28 | 28 | |
|
|
29 | 29 | def __updateObjFromAmisrInput(self): |
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30 | 30 | |
|
|
31 | 31 | self.dataOut.timeZone = self.dataIn.timeZone |
|
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32 | 32 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
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33 | 33 | self.dataOut.errorCount = self.dataIn.errorCount |
|
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34 | 34 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
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35 | 35 | |
|
|
36 | 36 | self.dataOut.flagNoData = self.dataIn.flagNoData |
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37 | 37 | self.dataOut.data = self.dataIn.data |
|
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38 | 38 | self.dataOut.utctime = self.dataIn.utctime |
|
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39 | 39 | self.dataOut.channelList = self.dataIn.channelList |
|
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40 | 40 | #self.dataOut.timeInterval = self.dataIn.timeInterval |
|
|
41 | 41 | self.dataOut.heightList = self.dataIn.heightList |
|
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42 | 42 | self.dataOut.nProfiles = self.dataIn.nProfiles |
|
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43 | 43 | |
|
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44 | 44 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
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45 | 45 | self.dataOut.ippSeconds = self.dataIn.ippSeconds |
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46 | 46 | self.dataOut.frequency = self.dataIn.frequency |
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47 | 47 | |
|
|
48 | 48 | self.dataOut.azimuth = self.dataIn.azimuth |
|
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49 | 49 | self.dataOut.zenith = self.dataIn.zenith |
|
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50 | 50 | |
|
|
51 | 51 | self.dataOut.beam.codeList = self.dataIn.beam.codeList |
|
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52 | 52 | self.dataOut.beam.azimuthList = self.dataIn.beam.azimuthList |
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53 | 53 | self.dataOut.beam.zenithList = self.dataIn.beam.zenithList |
|
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54 | 54 | |
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55 | 55 | |
|
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56 | 56 | class selectChannels(Operation): |
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57 | 57 | |
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58 | 58 | def run(self, dataOut, channelList): |
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59 | 59 | |
|
|
60 | 60 | channelIndexList = [] |
|
|
61 | 61 | self.dataOut = dataOut |
|
|
62 | 62 | for channel in channelList: |
|
|
63 | 63 | if channel not in self.dataOut.channelList: |
|
|
64 | 64 | raise ValueError("Channel %d is not in %s" %(channel, str(self.dataOut.channelList))) |
|
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65 | 65 | |
|
|
66 | 66 | index = self.dataOut.channelList.index(channel) |
|
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67 | 67 | channelIndexList.append(index) |
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68 | 68 | self.selectChannelsByIndex(channelIndexList) |
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|
69 | 69 | return self.dataOut |
|
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70 | 70 | |
|
|
71 | 71 | def selectChannelsByIndex(self, channelIndexList): |
|
|
72 | 72 | """ |
|
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73 | 73 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
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74 | 74 | |
|
|
75 | 75 | Input: |
|
|
76 | 76 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
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77 | 77 | |
|
|
78 | 78 | Affected: |
|
|
79 | 79 | self.dataOut.data |
|
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80 | 80 | self.dataOut.channelIndexList |
|
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81 | 81 | self.dataOut.nChannels |
|
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82 | 82 | self.dataOut.m_ProcessingHeader.totalSpectra |
|
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83 | 83 | self.dataOut.systemHeaderObj.numChannels |
|
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84 | 84 | self.dataOut.m_ProcessingHeader.blockSize |
|
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85 | 85 | |
|
|
86 | 86 | Return: |
|
|
87 | 87 | None |
|
|
88 | 88 | """ |
|
|
89 | 89 | |
|
|
90 | 90 | for channelIndex in channelIndexList: |
|
|
91 | 91 | if channelIndex not in self.dataOut.channelIndexList: |
|
|
92 | 92 | raise ValueError("The value %d in channelIndexList is not valid" %channelIndex) |
|
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93 | 93 | |
|
|
94 | 94 | if self.dataOut.type == 'Voltage': |
|
|
95 | 95 | if self.dataOut.flagDataAsBlock: |
|
|
96 | 96 | """ |
|
|
97 | 97 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
|
98 | 98 | """ |
|
|
99 | 99 | data = self.dataOut.data[channelIndexList,:,:] |
|
|
100 | 100 | else: |
|
|
101 | 101 | data = self.dataOut.data[channelIndexList,:] |
|
|
102 | 102 | |
|
|
103 | 103 | self.dataOut.data = data |
|
|
104 | 104 | # self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|
105 | 105 | self.dataOut.channelList = range(len(channelIndexList)) |
|
|
106 | 106 | |
|
|
107 | 107 | elif self.dataOut.type == 'Spectra': |
|
|
108 | 108 | data_spc = self.dataOut.data_spc[channelIndexList, :] |
|
|
109 | 109 | data_dc = self.dataOut.data_dc[channelIndexList, :] |
|
|
110 | 110 | |
|
|
111 | 111 | self.dataOut.data_spc = data_spc |
|
|
112 | 112 | self.dataOut.data_dc = data_dc |
|
|
113 | 113 | |
|
|
114 | 114 | # self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|
115 | 115 | self.dataOut.channelList = range(len(channelIndexList)) |
|
|
116 | 116 | self.__selectPairsByChannel(channelIndexList) |
|
|
117 | 117 | |
|
|
118 | 118 | return 1 |
|
|
119 | 119 | |
|
|
120 | 120 | def __selectPairsByChannel(self, channelList=None): |
|
|
121 | 121 | |
|
|
122 | 122 | if channelList == None: |
|
|
123 | 123 | return |
|
|
124 | 124 | |
|
|
125 | 125 | pairsIndexListSelected = [] |
|
|
126 | 126 | for pairIndex in self.dataOut.pairsIndexList: |
|
|
127 | 127 | # First pair |
|
|
128 | 128 | if self.dataOut.pairsList[pairIndex][0] not in channelList: |
|
|
129 | 129 | continue |
|
|
130 | 130 | # Second pair |
|
|
131 | 131 | if self.dataOut.pairsList[pairIndex][1] not in channelList: |
|
|
132 | 132 | continue |
|
|
133 | 133 | |
|
|
134 | 134 | pairsIndexListSelected.append(pairIndex) |
|
|
135 | 135 | |
|
|
136 | 136 | if not pairsIndexListSelected: |
|
|
137 | 137 | self.dataOut.data_cspc = None |
|
|
138 | 138 | self.dataOut.pairsList = [] |
|
|
139 | 139 | return |
|
|
140 | 140 | |
|
|
141 | 141 | self.dataOut.data_cspc = self.dataOut.data_cspc[pairsIndexListSelected] |
|
|
142 | 142 | self.dataOut.pairsList = [self.dataOut.pairsList[i] |
|
|
143 | 143 | for i in pairsIndexListSelected] |
|
|
144 | 144 | |
|
|
145 | 145 | return |
|
|
146 | 146 | |
|
|
147 | 147 | class selectHeights(Operation): |
|
|
148 | 148 | |
|
|
149 | 149 | def run(self, dataOut, minHei=None, maxHei=None): |
|
|
150 | 150 | """ |
|
|
151 | 151 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
|
152 | 152 | minHei <= height <= maxHei |
|
|
153 | 153 | |
|
|
154 | 154 | Input: |
|
|
155 | 155 | minHei : valor minimo de altura a considerar |
|
|
156 | 156 | maxHei : valor maximo de altura a considerar |
|
|
157 | 157 | |
|
|
158 | 158 | Affected: |
|
|
159 | 159 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
|
160 | 160 | |
|
|
161 | 161 | Return: |
|
|
162 | 162 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
163 | 163 | """ |
|
|
164 | 164 | |
|
|
165 | 165 | self.dataOut = dataOut |
|
|
166 | 166 | |
|
|
167 | 167 | if minHei == None: |
|
|
168 | 168 | minHei = self.dataOut.heightList[0] |
|
|
169 | 169 | |
|
|
170 | 170 | if maxHei == None: |
|
|
171 | 171 | maxHei = self.dataOut.heightList[-1] |
|
|
172 | 172 | |
|
|
173 | 173 | if (minHei < self.dataOut.heightList[0]): |
|
|
174 | 174 | minHei = self.dataOut.heightList[0] |
|
|
175 | 175 | |
|
|
176 | 176 | if (maxHei > self.dataOut.heightList[-1]): |
|
|
177 | 177 | maxHei = self.dataOut.heightList[-1] |
|
|
178 | 178 | |
|
|
179 | 179 | minIndex = 0 |
|
|
180 | 180 | maxIndex = 0 |
|
|
181 | 181 | heights = self.dataOut.heightList |
|
|
182 | 182 | |
|
|
183 | 183 | inda = numpy.where(heights >= minHei) |
|
|
184 | 184 | indb = numpy.where(heights <= maxHei) |
|
|
185 | 185 | |
|
|
186 | 186 | try: |
|
|
187 | 187 | minIndex = inda[0][0] |
|
|
188 | 188 | except: |
|
|
189 | 189 | minIndex = 0 |
|
|
190 | 190 | |
|
|
191 | 191 | try: |
|
|
192 | 192 | maxIndex = indb[0][-1] |
|
|
193 | 193 | except: |
|
|
194 | 194 | maxIndex = len(heights) |
|
|
195 | 195 | |
|
|
196 | 196 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
|
197 | 197 | |
|
|
198 | 198 | return self.dataOut |
|
|
199 | 199 | |
|
|
200 | 200 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
|
201 | 201 | """ |
|
|
202 | 202 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
|
203 | 203 | minIndex <= index <= maxIndex |
|
|
204 | 204 | |
|
|
205 | 205 | Input: |
|
|
206 | 206 | minIndex : valor de indice minimo de altura a considerar |
|
|
207 | 207 | maxIndex : valor de indice maximo de altura a considerar |
|
|
208 | 208 | |
|
|
209 | 209 | Affected: |
|
|
210 | 210 | self.dataOut.data |
|
|
211 | 211 | self.dataOut.heightList |
|
|
212 | 212 | |
|
|
213 | 213 | Return: |
|
|
214 | 214 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
215 | 215 | """ |
|
|
216 | 216 | |
|
|
217 | 217 | if self.dataOut.type == 'Voltage': |
|
|
218 | 218 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
219 | 219 | raise ValueError("Height index range (%d,%d) is not valid" % (minIndex, maxIndex)) |
|
|
220 | 220 | |
|
|
221 | 221 | if (maxIndex >= self.dataOut.nHeights): |
|
|
222 | 222 | maxIndex = self.dataOut.nHeights |
|
|
223 | 223 | |
|
|
224 | 224 | #voltage |
|
|
225 | 225 | if self.dataOut.flagDataAsBlock: |
|
|
226 | 226 | """ |
|
|
227 | 227 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
|
228 | 228 | """ |
|
|
229 | 229 | data = self.dataOut.data[:,:, minIndex:maxIndex] |
|
|
230 | 230 | else: |
|
|
231 | 231 | data = self.dataOut.data[:, minIndex:maxIndex] |
|
|
232 | 232 | |
|
|
233 | 233 | # firstHeight = self.dataOut.heightList[minIndex] |
|
|
234 | 234 | |
|
|
235 | 235 | self.dataOut.data = data |
|
|
236 | 236 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex] |
|
|
237 | 237 | |
|
|
238 | 238 | if self.dataOut.nHeights <= 1: |
|
|
239 | 239 | raise ValueError("selectHeights: Too few heights. Current number of heights is %d" %(self.dataOut.nHeights)) |
|
|
240 | 240 | elif self.dataOut.type == 'Spectra': |
|
|
241 | 241 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
242 | 242 | raise ValueError("Error selecting heights: Index range (%d,%d) is not valid" % ( |
|
|
243 | 243 | minIndex, maxIndex)) |
|
|
244 | 244 | |
|
|
245 | 245 | if (maxIndex >= self.dataOut.nHeights): |
|
|
246 | 246 | maxIndex = self.dataOut.nHeights - 1 |
|
|
247 | 247 | |
|
|
248 | 248 | # Spectra |
|
|
249 | 249 | data_spc = self.dataOut.data_spc[:, :, minIndex:maxIndex + 1] |
|
|
250 | 250 | |
|
|
251 | 251 | data_cspc = None |
|
|
252 | 252 | if self.dataOut.data_cspc is not None: |
|
|
253 | 253 | data_cspc = self.dataOut.data_cspc[:, :, minIndex:maxIndex + 1] |
|
|
254 | 254 | |
|
|
255 | 255 | data_dc = None |
|
|
256 | 256 | if self.dataOut.data_dc is not None: |
|
|
257 | 257 | data_dc = self.dataOut.data_dc[:, minIndex:maxIndex + 1] |
|
|
258 | 258 | |
|
|
259 | 259 | self.dataOut.data_spc = data_spc |
|
|
260 | 260 | self.dataOut.data_cspc = data_cspc |
|
|
261 | 261 | self.dataOut.data_dc = data_dc |
|
|
262 | 262 | |
|
|
263 | 263 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex + 1] |
|
|
264 | 264 | |
|
|
265 | 265 | return 1 |
|
|
266 | 266 | |
|
|
267 | 267 | |
|
|
268 | 268 | class filterByHeights(Operation): |
|
|
269 | 269 | |
|
|
270 | 270 | def run(self, dataOut, window): |
|
|
271 | 271 | |
|
|
272 | 272 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
273 | 273 | |
|
|
274 | 274 | if window == None: |
|
|
275 | 275 | window = (dataOut.radarControllerHeaderObj.txA/dataOut.radarControllerHeaderObj.nBaud) / deltaHeight |
|
|
276 | 276 | |
|
|
277 | 277 | newdelta = deltaHeight * window |
|
|
278 | 278 | r = dataOut.nHeights % window |
|
|
279 | 279 | newheights = (dataOut.nHeights-r)/window |
|
|
280 | 280 | |
|
|
281 | 281 | if newheights <= 1: |
|
|
282 | 282 | raise ValueError("filterByHeights: Too few heights. Current number of heights is %d and window is %d" %(dataOut.nHeights, window)) |
|
|
283 | 283 | |
|
|
284 | 284 | if dataOut.flagDataAsBlock: |
|
|
285 | 285 | """ |
|
|
286 | 286 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
|
287 | 287 | """ |
|
|
288 | 288 | buffer = dataOut.data[:, :, 0:int(dataOut.nHeights-r)] |
|
|
289 | 289 | buffer = buffer.reshape(dataOut.nChannels, dataOut.nProfiles, int(dataOut.nHeights/window), window) |
|
|
290 | 290 | buffer = numpy.sum(buffer,3) |
|
|
291 | 291 | |
|
|
292 | 292 | else: |
|
|
293 | 293 | buffer = dataOut.data[:,0:int(dataOut.nHeights-r)] |
|
|
294 | 294 | buffer = buffer.reshape(dataOut.nChannels,int(dataOut.nHeights/window),int(window)) |
|
|
295 | 295 | buffer = numpy.sum(buffer,2) |
|
|
296 | 296 | |
|
|
297 | 297 | dataOut.data = buffer |
|
|
298 | 298 | dataOut.heightList = dataOut.heightList[0] + numpy.arange( newheights )*newdelta |
|
|
299 | 299 | dataOut.windowOfFilter = window |
|
|
300 | 300 | |
|
|
301 | 301 | return dataOut |
|
|
302 | 302 | |
|
|
303 | 303 | |
|
|
304 | 304 | class setH0(Operation): |
|
|
305 | 305 | |
|
|
306 | 306 | def run(self, dataOut, h0, deltaHeight = None): |
|
|
307 | 307 | |
|
|
308 | 308 | if not deltaHeight: |
|
|
309 | 309 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
310 | 310 | |
|
|
311 | 311 | nHeights = dataOut.nHeights |
|
|
312 | 312 | |
|
|
313 | 313 | newHeiRange = h0 + numpy.arange(nHeights)*deltaHeight |
|
|
314 | 314 | |
|
|
315 | 315 | dataOut.heightList = newHeiRange |
|
|
316 | 316 | |
|
|
317 | 317 | return dataOut |
|
|
318 | 318 | |
|
|
319 | 319 | |
|
|
320 | 320 | class deFlip(Operation): |
|
|
321 | 321 | |
|
|
322 | 322 | def run(self, dataOut, channelList = []): |
|
|
323 | 323 | |
|
|
324 | 324 | data = dataOut.data.copy() |
|
|
325 | 325 | |
|
|
326 | 326 | if dataOut.flagDataAsBlock: |
|
|
327 | 327 | flip = self.flip |
|
|
328 | 328 | profileList = list(range(dataOut.nProfiles)) |
|
|
329 | 329 | |
|
|
330 | 330 | if not channelList: |
|
|
331 | 331 | for thisProfile in profileList: |
|
|
332 | 332 | data[:,thisProfile,:] = data[:,thisProfile,:]*flip |
|
|
333 | 333 | flip *= -1.0 |
|
|
334 | 334 | else: |
|
|
335 | 335 | for thisChannel in channelList: |
|
|
336 | 336 | if thisChannel not in dataOut.channelList: |
|
|
337 | 337 | continue |
|
|
338 | 338 | |
|
|
339 | 339 | for thisProfile in profileList: |
|
|
340 | 340 | data[thisChannel,thisProfile,:] = data[thisChannel,thisProfile,:]*flip |
|
|
341 | 341 | flip *= -1.0 |
|
|
342 | 342 | |
|
|
343 | 343 | self.flip = flip |
|
|
344 | 344 | |
|
|
345 | 345 | else: |
|
|
346 | 346 | if not channelList: |
|
|
347 | 347 | data[:,:] = data[:,:]*self.flip |
|
|
348 | 348 | else: |
|
|
349 | 349 | for thisChannel in channelList: |
|
|
350 | 350 | if thisChannel not in dataOut.channelList: |
|
|
351 | 351 | continue |
|
|
352 | 352 | |
|
|
353 | 353 | data[thisChannel,:] = data[thisChannel,:]*self.flip |
|
|
354 | 354 | |
|
|
355 | 355 | self.flip *= -1. |
|
|
356 | 356 | |
|
|
357 | 357 | dataOut.data = data |
|
|
358 | 358 | |
|
|
359 | 359 | return dataOut |
|
|
360 | 360 | |
|
|
361 | 361 | |
|
|
362 | 362 | class setAttribute(Operation): |
|
|
363 | 363 | ''' |
|
|
364 | 364 | Set an arbitrary attribute(s) to dataOut |
|
|
365 | 365 | ''' |
|
|
366 | 366 | |
|
|
367 | 367 | def __init__(self): |
|
|
368 | 368 | |
|
|
369 | 369 | Operation.__init__(self) |
|
|
370 | 370 | self._ready = False |
|
|
371 | 371 | |
|
|
372 | 372 | def run(self, dataOut, **kwargs): |
|
|
373 | 373 | |
|
|
374 | 374 | for key, value in kwargs.items(): |
|
|
375 | 375 | setattr(dataOut, key, value) |
|
|
376 | 376 | |
|
|
377 | 377 | return dataOut |
|
|
378 | 378 | |
|
|
379 | 379 | |
|
|
380 | @MPDecorator | |
|
|
381 | class printAttribute(Operation): | |
|
|
382 | ''' | |
|
|
383 | Print an arbitrary attribute of dataOut | |
|
|
384 | ''' | |
|
|
385 | ||
|
|
386 | def __init__(self): | |
|
|
387 | ||
|
|
388 | Operation.__init__(self) | |
|
|
389 | ||
|
|
390 | def run(self, dataOut, attributes): | |
|
|
391 | ||
|
|
392 | for attr in attributes: | |
|
|
393 | if hasattr(dataOut, attr): | |
|
|
394 | log.log(getattr(dataOut, attr), attr) | |
|
|
395 | ||
|
|
396 | ||
|
|
380 | 397 | class interpolateHeights(Operation): |
|
|
381 | 398 | |
|
|
382 | 399 | def run(self, dataOut, topLim, botLim): |
|
|
383 | 400 | #69 al 72 para julia |
|
|
384 | 401 | #82-84 para meteoros |
|
|
385 | 402 | if len(numpy.shape(dataOut.data))==2: |
|
|
386 | 403 | sampInterp = (dataOut.data[:,botLim-1] + dataOut.data[:,topLim+1])/2 |
|
|
387 | 404 | sampInterp = numpy.transpose(numpy.tile(sampInterp,(topLim-botLim + 1,1))) |
|
|
388 | 405 | #dataOut.data[:,botLim:limSup+1] = sampInterp |
|
|
389 | 406 | dataOut.data[:,botLim:topLim+1] = sampInterp |
|
|
390 | 407 | else: |
|
|
391 | 408 | nHeights = dataOut.data.shape[2] |
|
|
392 | 409 | x = numpy.hstack((numpy.arange(botLim),numpy.arange(topLim+1,nHeights))) |
|
|
393 | 410 | y = dataOut.data[:,:,list(range(botLim))+list(range(topLim+1,nHeights))] |
|
|
394 | 411 | f = interpolate.interp1d(x, y, axis = 2) |
|
|
395 | 412 | xnew = numpy.arange(botLim,topLim+1) |
|
|
396 | 413 | ynew = f(xnew) |
|
|
397 | 414 | dataOut.data[:,:,botLim:topLim+1] = ynew |
|
|
398 | 415 | |
|
|
399 | 416 | return dataOut |
|
|
400 | 417 | |
|
|
401 | 418 | |
|
|
402 | 419 | class CohInt(Operation): |
|
|
403 | 420 | |
|
|
404 | 421 | isConfig = False |
|
|
405 | 422 | __profIndex = 0 |
|
|
406 | 423 | __byTime = False |
|
|
407 | 424 | __initime = None |
|
|
408 | 425 | __lastdatatime = None |
|
|
409 | 426 | __integrationtime = None |
|
|
410 | 427 | __buffer = None |
|
|
411 | 428 | __bufferStride = [] |
|
|
412 | 429 | __dataReady = False |
|
|
413 | 430 | __profIndexStride = 0 |
|
|
414 | 431 | __dataToPutStride = False |
|
|
415 | 432 | n = None |
|
|
416 | 433 | |
|
|
417 | 434 | def __init__(self, **kwargs): |
|
|
418 | 435 | |
|
|
419 | 436 | Operation.__init__(self, **kwargs) |
|
|
420 | 437 | |
|
|
421 | 438 | # self.isConfig = False |
|
|
422 | 439 | |
|
|
423 | 440 | def setup(self, n=None, timeInterval=None, stride=None, overlapping=False, byblock=False): |
|
|
424 | 441 | """ |
|
|
425 | 442 | Set the parameters of the integration class. |
|
|
426 | 443 | |
|
|
427 | 444 | Inputs: |
|
|
428 | 445 | |
|
|
429 | 446 | n : Number of coherent integrations |
|
|
430 | 447 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|
431 | 448 | overlapping : |
|
|
432 | 449 | """ |
|
|
433 | 450 | |
|
|
434 | 451 | self.__initime = None |
|
|
435 | 452 | self.__lastdatatime = 0 |
|
|
436 | 453 | self.__buffer = None |
|
|
437 | 454 | self.__dataReady = False |
|
|
438 | 455 | self.byblock = byblock |
|
|
439 | 456 | self.stride = stride |
|
|
440 | 457 | |
|
|
441 | 458 | if n == None and timeInterval == None: |
|
|
442 | 459 | raise ValueError("n or timeInterval should be specified ...") |
|
|
443 | 460 | |
|
|
444 | 461 | if n != None: |
|
|
445 | 462 | self.n = n |
|
|
446 | 463 | self.__byTime = False |
|
|
447 | 464 | else: |
|
|
448 | 465 | self.__integrationtime = timeInterval #* 60. #if (type(timeInterval)!=integer) -> change this line |
|
|
449 | 466 | self.n = 9999 |
|
|
450 | 467 | self.__byTime = True |
|
|
451 | 468 | |
|
|
452 | 469 | if overlapping: |
|
|
453 | 470 | self.__withOverlapping = True |
|
|
454 | 471 | self.__buffer = None |
|
|
455 | 472 | else: |
|
|
456 | 473 | self.__withOverlapping = False |
|
|
457 | 474 | self.__buffer = 0 |
|
|
458 | 475 | |
|
|
459 | 476 | self.__profIndex = 0 |
|
|
460 | 477 | |
|
|
461 | 478 | def putData(self, data): |
|
|
462 | 479 | |
|
|
463 | 480 | """ |
|
|
464 | 481 | Add a profile to the __buffer and increase in one the __profileIndex |
|
|
465 | 482 | |
|
|
466 | 483 | """ |
|
|
467 | 484 | |
|
|
468 | 485 | if not self.__withOverlapping: |
|
|
469 | 486 | self.__buffer += data.copy() |
|
|
470 | 487 | self.__profIndex += 1 |
|
|
471 | 488 | return |
|
|
472 | 489 | |
|
|
473 | 490 | #Overlapping data |
|
|
474 | 491 | nChannels, nHeis = data.shape |
|
|
475 | 492 | data = numpy.reshape(data, (1, nChannels, nHeis)) |
|
|
476 | 493 | |
|
|
477 | 494 | #If the buffer is empty then it takes the data value |
|
|
478 | 495 | if self.__buffer is None: |
|
|
479 | 496 | self.__buffer = data |
|
|
480 | 497 | self.__profIndex += 1 |
|
|
481 | 498 | return |
|
|
482 | 499 | |
|
|
483 | 500 | #If the buffer length is lower than n then stakcing the data value |
|
|
484 | 501 | if self.__profIndex < self.n: |
|
|
485 | 502 | self.__buffer = numpy.vstack((self.__buffer, data)) |
|
|
486 | 503 | self.__profIndex += 1 |
|
|
487 | 504 | return |
|
|
488 | 505 | |
|
|
489 | 506 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
|
490 | 507 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) |
|
|
491 | 508 | self.__buffer[self.n-1] = data |
|
|
492 | 509 | self.__profIndex = self.n |
|
|
493 | 510 | return |
|
|
494 | 511 | |
|
|
495 | 512 | |
|
|
496 | 513 | def pushData(self): |
|
|
497 | 514 | """ |
|
|
498 | 515 | Return the sum of the last profiles and the profiles used in the sum. |
|
|
499 | 516 | |
|
|
500 | 517 | Affected: |
|
|
501 | 518 | |
|
|
502 | 519 | self.__profileIndex |
|
|
503 | 520 | |
|
|
504 | 521 | """ |
|
|
505 | 522 | |
|
|
506 | 523 | if not self.__withOverlapping: |
|
|
507 | 524 | data = self.__buffer |
|
|
508 | 525 | n = self.__profIndex |
|
|
509 | 526 | |
|
|
510 | 527 | self.__buffer = 0 |
|
|
511 | 528 | self.__profIndex = 0 |
|
|
512 | 529 | |
|
|
513 | 530 | return data, n |
|
|
514 | 531 | |
|
|
515 | 532 | #Integration with Overlapping |
|
|
516 | 533 | data = numpy.sum(self.__buffer, axis=0) |
|
|
517 | 534 | # print data |
|
|
518 | 535 | # raise |
|
|
519 | 536 | n = self.__profIndex |
|
|
520 | 537 | |
|
|
521 | 538 | return data, n |
|
|
522 | 539 | |
|
|
523 | 540 | def byProfiles(self, data): |
|
|
524 | 541 | |
|
|
525 | 542 | self.__dataReady = False |
|
|
526 | 543 | avgdata = None |
|
|
527 | 544 | # n = None |
|
|
528 | 545 | # print data |
|
|
529 | 546 | # raise |
|
|
530 | 547 | self.putData(data) |
|
|
531 | 548 | |
|
|
532 | 549 | if self.__profIndex == self.n: |
|
|
533 | 550 | avgdata, n = self.pushData() |
|
|
534 | 551 | self.__dataReady = True |
|
|
535 | 552 | |
|
|
536 | 553 | return avgdata |
|
|
537 | 554 | |
|
|
538 | 555 | def byTime(self, data, datatime): |
|
|
539 | 556 | |
|
|
540 | 557 | self.__dataReady = False |
|
|
541 | 558 | avgdata = None |
|
|
542 | 559 | n = None |
|
|
543 | 560 | |
|
|
544 | 561 | self.putData(data) |
|
|
545 | 562 | |
|
|
546 | 563 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|
547 | 564 | avgdata, n = self.pushData() |
|
|
548 | 565 | self.n = n |
|
|
549 | 566 | self.__dataReady = True |
|
|
550 | 567 | |
|
|
551 | 568 | return avgdata |
|
|
552 | 569 | |
|
|
553 | 570 | def integrateByStride(self, data, datatime): |
|
|
554 | 571 | # print data |
|
|
555 | 572 | if self.__profIndex == 0: |
|
|
556 | 573 | self.__buffer = [[data.copy(), datatime]] |
|
|
557 | 574 | else: |
|
|
558 | 575 | self.__buffer.append([data.copy(),datatime]) |
|
|
559 | 576 | self.__profIndex += 1 |
|
|
560 | 577 | self.__dataReady = False |
|
|
561 | 578 | |
|
|
562 | 579 | if self.__profIndex == self.n * self.stride : |
|
|
563 | 580 | self.__dataToPutStride = True |
|
|
564 | 581 | self.__profIndexStride = 0 |
|
|
565 | 582 | self.__profIndex = 0 |
|
|
566 | 583 | self.__bufferStride = [] |
|
|
567 | 584 | for i in range(self.stride): |
|
|
568 | 585 | current = self.__buffer[i::self.stride] |
|
|
569 | 586 | data = numpy.sum([t[0] for t in current], axis=0) |
|
|
570 | 587 | avgdatatime = numpy.average([t[1] for t in current]) |
|
|
571 | 588 | # print data |
|
|
572 | 589 | self.__bufferStride.append((data, avgdatatime)) |
|
|
573 | 590 | |
|
|
574 | 591 | if self.__dataToPutStride: |
|
|
575 | 592 | self.__dataReady = True |
|
|
576 | 593 | self.__profIndexStride += 1 |
|
|
577 | 594 | if self.__profIndexStride == self.stride: |
|
|
578 | 595 | self.__dataToPutStride = False |
|
|
579 | 596 | # print self.__bufferStride[self.__profIndexStride - 1] |
|
|
580 | 597 | # raise |
|
|
581 | 598 | return self.__bufferStride[self.__profIndexStride - 1] |
|
|
582 | 599 | |
|
|
583 | 600 | |
|
|
584 | 601 | return None, None |
|
|
585 | 602 | |
|
|
586 | 603 | def integrate(self, data, datatime=None): |
|
|
587 | 604 | |
|
|
588 | 605 | if self.__initime == None: |
|
|
589 | 606 | self.__initime = datatime |
|
|
590 | 607 | |
|
|
591 | 608 | if self.__byTime: |
|
|
592 | 609 | avgdata = self.byTime(data, datatime) |
|
|
593 | 610 | else: |
|
|
594 | 611 | avgdata = self.byProfiles(data) |
|
|
595 | 612 | |
|
|
596 | 613 | |
|
|
597 | 614 | self.__lastdatatime = datatime |
|
|
598 | 615 | |
|
|
599 | 616 | if avgdata is None: |
|
|
600 | 617 | return None, None |
|
|
601 | 618 | |
|
|
602 | 619 | avgdatatime = self.__initime |
|
|
603 | 620 | |
|
|
604 | 621 | deltatime = datatime - self.__lastdatatime |
|
|
605 | 622 | |
|
|
606 | 623 | if not self.__withOverlapping: |
|
|
607 | 624 | self.__initime = datatime |
|
|
608 | 625 | else: |
|
|
609 | 626 | self.__initime += deltatime |
|
|
610 | 627 | |
|
|
611 | 628 | return avgdata, avgdatatime |
|
|
612 | 629 | |
|
|
613 | 630 | def integrateByBlock(self, dataOut): |
|
|
614 | 631 | |
|
|
615 | 632 | times = int(dataOut.data.shape[1]/self.n) |
|
|
616 | 633 | avgdata = numpy.zeros((dataOut.nChannels, times, dataOut.nHeights), dtype=numpy.complex) |
|
|
617 | 634 | |
|
|
618 | 635 | id_min = 0 |
|
|
619 | 636 | id_max = self.n |
|
|
620 | 637 | |
|
|
621 | 638 | for i in range(times): |
|
|
622 | 639 | junk = dataOut.data[:,id_min:id_max,:] |
|
|
623 | 640 | avgdata[:,i,:] = junk.sum(axis=1) |
|
|
624 | 641 | id_min += self.n |
|
|
625 | 642 | id_max += self.n |
|
|
626 | 643 | |
|
|
627 | 644 | timeInterval = dataOut.ippSeconds*self.n |
|
|
628 | 645 | avgdatatime = (times - 1) * timeInterval + dataOut.utctime |
|
|
629 | 646 | self.__dataReady = True |
|
|
630 | 647 | return avgdata, avgdatatime |
|
|
631 | 648 | |
|
|
632 | 649 | def run(self, dataOut, n=None, timeInterval=None, stride=None, overlapping=False, byblock=False, **kwargs): |
|
|
633 | 650 | |
|
|
634 | 651 | if not self.isConfig: |
|
|
635 | 652 | self.setup(n=n, stride=stride, timeInterval=timeInterval, overlapping=overlapping, byblock=byblock, **kwargs) |
|
|
636 | 653 | self.isConfig = True |
|
|
637 | 654 | |
|
|
638 | 655 | if dataOut.flagDataAsBlock: |
|
|
639 | 656 | """ |
|
|
640 | 657 | Si la data es leida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
|
641 | 658 | """ |
|
|
642 | 659 | avgdata, avgdatatime = self.integrateByBlock(dataOut) |
|
|
643 | 660 | dataOut.nProfiles /= self.n |
|
|
644 | 661 | else: |
|
|
645 | 662 | if stride is None: |
|
|
646 | 663 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) |
|
|
647 | 664 | else: |
|
|
648 | 665 | avgdata, avgdatatime = self.integrateByStride(dataOut.data, dataOut.utctime) |
|
|
649 | 666 | |
|
|
650 | 667 | |
|
|
651 | 668 | # dataOut.timeInterval *= n |
|
|
652 | 669 | dataOut.flagNoData = True |
|
|
653 | 670 | |
|
|
654 | 671 | if self.__dataReady: |
|
|
655 | 672 | dataOut.data = avgdata |
|
|
656 | 673 | dataOut.nCohInt *= self.n |
|
|
657 | 674 | dataOut.utctime = avgdatatime |
|
|
658 | 675 | # print avgdata, avgdatatime |
|
|
659 | 676 | # raise |
|
|
660 | 677 | # dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt |
|
|
661 | 678 | dataOut.flagNoData = False |
|
|
662 | 679 | return dataOut |
|
|
663 | 680 | |
|
|
664 | 681 | class Decoder(Operation): |
|
|
665 | 682 | |
|
|
666 | 683 | isConfig = False |
|
|
667 | 684 | __profIndex = 0 |
|
|
668 | 685 | |
|
|
669 | 686 | code = None |
|
|
670 | 687 | |
|
|
671 | 688 | nCode = None |
|
|
672 | 689 | nBaud = None |
|
|
673 | 690 | |
|
|
674 | 691 | def __init__(self, **kwargs): |
|
|
675 | 692 | |
|
|
676 | 693 | Operation.__init__(self, **kwargs) |
|
|
677 | 694 | |
|
|
678 | 695 | self.times = None |
|
|
679 | 696 | self.osamp = None |
|
|
680 | 697 | # self.__setValues = False |
|
|
681 | 698 | self.isConfig = False |
|
|
682 | 699 | self.setupReq = False |
|
|
683 | 700 | def setup(self, code, osamp, dataOut): |
|
|
684 | 701 | |
|
|
685 | 702 | self.__profIndex = 0 |
|
|
686 | 703 | |
|
|
687 | 704 | self.code = code |
|
|
688 | 705 | |
|
|
689 | 706 | self.nCode = len(code) |
|
|
690 | 707 | self.nBaud = len(code[0]) |
|
|
691 | 708 | |
|
|
692 | 709 | if (osamp != None) and (osamp >1): |
|
|
693 | 710 | self.osamp = osamp |
|
|
694 | 711 | self.code = numpy.repeat(code, repeats=self.osamp, axis=1) |
|
|
695 | 712 | self.nBaud = self.nBaud*self.osamp |
|
|
696 | 713 | |
|
|
697 | 714 | self.__nChannels = dataOut.nChannels |
|
|
698 | 715 | self.__nProfiles = dataOut.nProfiles |
|
|
699 | 716 | self.__nHeis = dataOut.nHeights |
|
|
700 | 717 | |
|
|
701 | 718 | if self.__nHeis < self.nBaud: |
|
|
702 | 719 | raise ValueError('Number of heights (%d) should be greater than number of bauds (%d)' %(self.__nHeis, self.nBaud)) |
|
|
703 | 720 | |
|
|
704 | 721 | #Frequency |
|
|
705 | 722 | __codeBuffer = numpy.zeros((self.nCode, self.__nHeis), dtype=numpy.complex) |
|
|
706 | 723 | |
|
|
707 | 724 | __codeBuffer[:,0:self.nBaud] = self.code |
|
|
708 | 725 | |
|
|
709 | 726 | self.fft_code = numpy.conj(numpy.fft.fft(__codeBuffer, axis=1)) |
|
|
710 | 727 | |
|
|
711 | 728 | if dataOut.flagDataAsBlock: |
|
|
712 | 729 | |
|
|
713 | 730 | self.ndatadec = self.__nHeis #- self.nBaud + 1 |
|
|
714 | 731 | |
|
|
715 | 732 | self.datadecTime = numpy.zeros((self.__nChannels, self.__nProfiles, self.ndatadec), dtype=numpy.complex) |
|
|
716 | 733 | |
|
|
717 | 734 | else: |
|
|
718 | 735 | |
|
|
719 | 736 | #Time |
|
|
720 | 737 | self.ndatadec = self.__nHeis #- self.nBaud + 1 |
|
|
721 | 738 | |
|
|
722 | 739 | self.datadecTime = numpy.zeros((self.__nChannels, self.ndatadec), dtype=numpy.complex) |
|
|
723 | 740 | |
|
|
724 | 741 | def __convolutionInFreq(self, data): |
|
|
725 | 742 | |
|
|
726 | 743 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
|
727 | 744 | |
|
|
728 | 745 | fft_data = numpy.fft.fft(data, axis=1) |
|
|
729 | 746 | |
|
|
730 | 747 | conv = fft_data*fft_code |
|
|
731 | 748 | |
|
|
732 | 749 | data = numpy.fft.ifft(conv,axis=1) |
|
|
733 | 750 | |
|
|
734 | 751 | return data |
|
|
735 | 752 | |
|
|
736 | 753 | def __convolutionInFreqOpt(self, data): |
|
|
737 | 754 | |
|
|
738 | 755 | raise NotImplementedError |
|
|
739 | 756 | |
|
|
740 | 757 | def __convolutionInTime(self, data): |
|
|
741 | 758 | |
|
|
742 | 759 | code = self.code[self.__profIndex] |
|
|
743 | 760 | for i in range(self.__nChannels): |
|
|
744 | 761 | self.datadecTime[i,:] = numpy.correlate(data[i,:], code, mode='full')[self.nBaud-1:] |
|
|
745 | 762 | |
|
|
746 | 763 | return self.datadecTime |
|
|
747 | 764 | |
|
|
748 | 765 | def __convolutionByBlockInTime(self, data): |
|
|
749 | 766 | |
|
|
750 | 767 | repetitions = int(self.__nProfiles / self.nCode) |
|
|
751 | 768 | junk = numpy.lib.stride_tricks.as_strided(self.code, (repetitions, self.code.size), (0, self.code.itemsize)) |
|
|
752 | 769 | junk = junk.flatten() |
|
|
753 | 770 | code_block = numpy.reshape(junk, (self.nCode*repetitions, self.nBaud)) |
|
|
754 | 771 | profilesList = range(self.__nProfiles) |
|
|
755 | 772 | |
|
|
756 | 773 | for i in range(self.__nChannels): |
|
|
757 | 774 | for j in profilesList: |
|
|
758 | 775 | self.datadecTime[i,j,:] = numpy.correlate(data[i,j,:], code_block[j,:], mode='full')[self.nBaud-1:] |
|
|
759 | 776 | return self.datadecTime |
|
|
760 | 777 | |
|
|
761 | 778 | def __convolutionByBlockInFreq(self, data): |
|
|
762 | 779 | |
|
|
763 | 780 | raise NotImplementedError("Decoder by frequency fro Blocks not implemented") |
|
|
764 | 781 | |
|
|
765 | 782 | |
|
|
766 | 783 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
|
767 | 784 | |
|
|
768 | 785 | fft_data = numpy.fft.fft(data, axis=2) |
|
|
769 | 786 | |
|
|
770 | 787 | conv = fft_data*fft_code |
|
|
771 | 788 | |
|
|
772 | 789 | data = numpy.fft.ifft(conv,axis=2) |
|
|
773 | 790 | |
|
|
774 | 791 | return data |
|
|
775 | 792 | |
|
|
776 | 793 | |
|
|
777 | 794 | def run(self, dataOut, code=None, nCode=None, nBaud=None, mode = 0, osamp=None, times=None): |
|
|
778 | 795 | |
|
|
779 | 796 | if dataOut.flagDecodeData: |
|
|
780 | 797 | print("This data is already decoded, recoding again ...") |
|
|
781 | 798 | |
|
|
782 | 799 | if not self.isConfig: |
|
|
783 | 800 | |
|
|
784 | 801 | if code is None: |
|
|
785 | 802 | if dataOut.code is None: |
|
|
786 | 803 | raise ValueError("Code could not be read from %s instance. Enter a value in Code parameter" %dataOut.type) |
|
|
787 | 804 | |
|
|
788 | 805 | code = dataOut.code |
|
|
789 | 806 | else: |
|
|
790 | 807 | code = numpy.array(code).reshape(nCode,nBaud) |
|
|
791 | 808 | self.setup(code, osamp, dataOut) |
|
|
792 | 809 | |
|
|
793 | 810 | self.isConfig = True |
|
|
794 | 811 | |
|
|
795 | 812 | if mode == 3: |
|
|
796 | 813 | sys.stderr.write("Decoder Warning: mode=%d is not valid, using mode=0\n" %mode) |
|
|
797 | 814 | |
|
|
798 | 815 | if times != None: |
|
|
799 | 816 | sys.stderr.write("Decoder Warning: Argument 'times' in not used anymore\n") |
|
|
800 | 817 | |
|
|
801 | 818 | if self.code is None: |
|
|
802 | 819 | print("Fail decoding: Code is not defined.") |
|
|
803 | 820 | return |
|
|
804 | 821 | |
|
|
805 | 822 | self.__nProfiles = dataOut.nProfiles |
|
|
806 | 823 | datadec = None |
|
|
807 | 824 | |
|
|
808 | 825 | if mode == 3: |
|
|
809 | 826 | mode = 0 |
|
|
810 | 827 | |
|
|
811 | 828 | if dataOut.flagDataAsBlock: |
|
|
812 | 829 | """ |
|
|
813 | 830 | Decoding when data have been read as block, |
|
|
814 | 831 | """ |
|
|
815 | 832 | |
|
|
816 | 833 | if mode == 0: |
|
|
817 | 834 | datadec = self.__convolutionByBlockInTime(dataOut.data) |
|
|
818 | 835 | if mode == 1: |
|
|
819 | 836 | datadec = self.__convolutionByBlockInFreq(dataOut.data) |
|
|
820 | 837 | else: |
|
|
821 | 838 | """ |
|
|
822 | 839 | Decoding when data have been read profile by profile |
|
|
823 | 840 | """ |
|
|
824 | 841 | if mode == 0: |
|
|
825 | 842 | datadec = self.__convolutionInTime(dataOut.data) |
|
|
826 | 843 | |
|
|
827 | 844 | if mode == 1: |
|
|
828 | 845 | datadec = self.__convolutionInFreq(dataOut.data) |
|
|
829 | 846 | |
|
|
830 | 847 | if mode == 2: |
|
|
831 | 848 | datadec = self.__convolutionInFreqOpt(dataOut.data) |
|
|
832 | 849 | |
|
|
833 | 850 | if datadec is None: |
|
|
834 | 851 | raise ValueError("Codification mode selected is not valid: mode=%d. Try selecting 0 or 1" %mode) |
|
|
835 | 852 | |
|
|
836 | 853 | dataOut.code = self.code |
|
|
837 | 854 | dataOut.nCode = self.nCode |
|
|
838 | 855 | dataOut.nBaud = self.nBaud |
|
|
839 | 856 | |
|
|
840 | 857 | dataOut.data = datadec |
|
|
841 | 858 | |
|
|
842 | 859 | dataOut.heightList = dataOut.heightList[0:datadec.shape[-1]] |
|
|
843 | 860 | |
|
|
844 | 861 | dataOut.flagDecodeData = True #asumo q la data esta decodificada |
|
|
845 | 862 | |
|
|
846 | 863 | if self.__profIndex == self.nCode-1: |
|
|
847 | 864 | self.__profIndex = 0 |
|
|
848 | 865 | return dataOut |
|
|
849 | 866 | |
|
|
850 | 867 | self.__profIndex += 1 |
|
|
851 | 868 | |
|
|
852 | 869 | return dataOut |
|
|
853 | 870 | # dataOut.flagDeflipData = True #asumo q la data no esta sin flip |
|
|
854 | 871 | |
|
|
855 | 872 | |
|
|
856 | 873 | class ProfileConcat(Operation): |
|
|
857 | 874 | |
|
|
858 | 875 | isConfig = False |
|
|
859 | 876 | buffer = None |
|
|
860 | 877 | |
|
|
861 | 878 | def __init__(self, **kwargs): |
|
|
862 | 879 | |
|
|
863 | 880 | Operation.__init__(self, **kwargs) |
|
|
864 | 881 | self.profileIndex = 0 |
|
|
865 | 882 | |
|
|
866 | 883 | def reset(self): |
|
|
867 | 884 | self.buffer = numpy.zeros_like(self.buffer) |
|
|
868 | 885 | self.start_index = 0 |
|
|
869 | 886 | self.times = 1 |
|
|
870 | 887 | |
|
|
871 | 888 | def setup(self, data, m, n=1): |
|
|
872 | 889 | self.buffer = numpy.zeros((data.shape[0],data.shape[1]*m),dtype=type(data[0,0])) |
|
|
873 | 890 | self.nHeights = data.shape[1]#.nHeights |
|
|
874 | 891 | self.start_index = 0 |
|
|
875 | 892 | self.times = 1 |
|
|
876 | 893 | |
|
|
877 | 894 | def concat(self, data): |
|
|
878 | 895 | |
|
|
879 | 896 | self.buffer[:,self.start_index:self.nHeights*self.times] = data.copy() |
|
|
880 | 897 | self.start_index = self.start_index + self.nHeights |
|
|
881 | 898 | |
|
|
882 | 899 | def run(self, dataOut, m): |
|
|
883 | 900 | dataOut.flagNoData = True |
|
|
884 | 901 | |
|
|
885 | 902 | if not self.isConfig: |
|
|
886 | 903 | self.setup(dataOut.data, m, 1) |
|
|
887 | 904 | self.isConfig = True |
|
|
888 | 905 | |
|
|
889 | 906 | if dataOut.flagDataAsBlock: |
|
|
890 | 907 | raise ValueError("ProfileConcat can only be used when voltage have been read profile by profile, getBlock = False") |
|
|
891 | 908 | |
|
|
892 | 909 | else: |
|
|
893 | 910 | self.concat(dataOut.data) |
|
|
894 | 911 | self.times += 1 |
|
|
895 | 912 | if self.times > m: |
|
|
896 | 913 | dataOut.data = self.buffer |
|
|
897 | 914 | self.reset() |
|
|
898 | 915 | dataOut.flagNoData = False |
|
|
899 | 916 | # se deben actualizar mas propiedades del header y del objeto dataOut, por ejemplo, las alturas |
|
|
900 | 917 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
901 | 918 | xf = dataOut.heightList[0] + dataOut.nHeights * deltaHeight * m |
|
|
902 | 919 | dataOut.heightList = numpy.arange(dataOut.heightList[0], xf, deltaHeight) |
|
|
903 | 920 | dataOut.ippSeconds *= m |
|
|
904 | 921 | return dataOut |
|
|
905 | 922 | |
|
|
906 | 923 | class ProfileSelector(Operation): |
|
|
907 | 924 | |
|
|
908 | 925 | profileIndex = None |
|
|
909 | 926 | # Tamanho total de los perfiles |
|
|
910 | 927 | nProfiles = None |
|
|
911 | 928 | |
|
|
912 | 929 | def __init__(self, **kwargs): |
|
|
913 | 930 | |
|
|
914 | 931 | Operation.__init__(self, **kwargs) |
|
|
915 | 932 | self.profileIndex = 0 |
|
|
916 | 933 | |
|
|
917 | 934 | def incProfileIndex(self): |
|
|
918 | 935 | |
|
|
919 | 936 | self.profileIndex += 1 |
|
|
920 | 937 | |
|
|
921 | 938 | if self.profileIndex >= self.nProfiles: |
|
|
922 | 939 | self.profileIndex = 0 |
|
|
923 | 940 | |
|
|
924 | 941 | def isThisProfileInRange(self, profileIndex, minIndex, maxIndex): |
|
|
925 | 942 | |
|
|
926 | 943 | if profileIndex < minIndex: |
|
|
927 | 944 | return False |
|
|
928 | 945 | |
|
|
929 | 946 | if profileIndex > maxIndex: |
|
|
930 | 947 | return False |
|
|
931 | 948 | |
|
|
932 | 949 | return True |
|
|
933 | 950 | |
|
|
934 | 951 | def isThisProfileInList(self, profileIndex, profileList): |
|
|
935 | 952 | |
|
|
936 | 953 | if profileIndex not in profileList: |
|
|
937 | 954 | return False |
|
|
938 | 955 | |
|
|
939 | 956 | return True |
|
|
940 | 957 | |
|
|
941 | 958 | def run(self, dataOut, profileList=None, profileRangeList=None, beam=None, byblock=False, rangeList = None, nProfiles=None): |
|
|
942 | 959 | |
|
|
943 | 960 | """ |
|
|
944 | 961 | ProfileSelector: |
|
|
945 | 962 | |
|
|
946 | 963 | Inputs: |
|
|
947 | 964 | profileList : Index of profiles selected. Example: profileList = (0,1,2,7,8) |
|
|
948 | 965 | |
|
|
949 | 966 | profileRangeList : Minimum and maximum profile indexes. Example: profileRangeList = (4, 30) |
|
|
950 | 967 | |
|
|
951 | 968 | rangeList : List of profile ranges. Example: rangeList = ((4, 30), (32, 64), (128, 256)) |
|
|
952 | 969 | |
|
|
953 | 970 | """ |
|
|
954 | 971 | |
|
|
955 | 972 | if rangeList is not None: |
|
|
956 | 973 | if type(rangeList[0]) not in (tuple, list): |
|
|
957 | 974 | rangeList = [rangeList] |
|
|
958 | 975 | |
|
|
959 | 976 | dataOut.flagNoData = True |
|
|
960 | 977 | |
|
|
961 | 978 | if dataOut.flagDataAsBlock: |
|
|
962 | 979 | """ |
|
|
963 | 980 | data dimension = [nChannels, nProfiles, nHeis] |
|
|
964 | 981 | """ |
|
|
965 | 982 | if profileList != None: |
|
|
966 | 983 | dataOut.data = dataOut.data[:,profileList,:] |
|
|
967 | 984 | |
|
|
968 | 985 | if profileRangeList != None: |
|
|
969 | 986 | minIndex = profileRangeList[0] |
|
|
970 | 987 | maxIndex = profileRangeList[1] |
|
|
971 | 988 | profileList = list(range(minIndex, maxIndex+1)) |
|
|
972 | 989 | |
|
|
973 | 990 | dataOut.data = dataOut.data[:,minIndex:maxIndex+1,:] |
|
|
974 | 991 | |
|
|
975 | 992 | if rangeList != None: |
|
|
976 | 993 | |
|
|
977 | 994 | profileList = [] |
|
|
978 | 995 | |
|
|
979 | 996 | for thisRange in rangeList: |
|
|
980 | 997 | minIndex = thisRange[0] |
|
|
981 | 998 | maxIndex = thisRange[1] |
|
|
982 | 999 | |
|
|
983 | 1000 | profileList.extend(list(range(minIndex, maxIndex+1))) |
|
|
984 | 1001 | |
|
|
985 | 1002 | dataOut.data = dataOut.data[:,profileList,:] |
|
|
986 | 1003 | |
|
|
987 | 1004 | dataOut.nProfiles = len(profileList) |
|
|
988 | 1005 | dataOut.profileIndex = dataOut.nProfiles - 1 |
|
|
989 | 1006 | dataOut.flagNoData = False |
|
|
990 | 1007 | |
|
|
991 | 1008 | return dataOut |
|
|
992 | 1009 | |
|
|
993 | 1010 | """ |
|
|
994 | 1011 | data dimension = [nChannels, nHeis] |
|
|
995 | 1012 | """ |
|
|
996 | 1013 | |
|
|
997 | 1014 | if profileList != None: |
|
|
998 | 1015 | |
|
|
999 | 1016 | if self.isThisProfileInList(dataOut.profileIndex, profileList): |
|
|
1000 | 1017 | |
|
|
1001 | 1018 | self.nProfiles = len(profileList) |
|
|
1002 | 1019 | dataOut.nProfiles = self.nProfiles |
|
|
1003 | 1020 | dataOut.profileIndex = self.profileIndex |
|
|
1004 | 1021 | dataOut.flagNoData = False |
|
|
1005 | 1022 | |
|
|
1006 | 1023 | self.incProfileIndex() |
|
|
1007 | 1024 | return dataOut |
|
|
1008 | 1025 | |
|
|
1009 | 1026 | if profileRangeList != None: |
|
|
1010 | 1027 | |
|
|
1011 | 1028 | minIndex = profileRangeList[0] |
|
|
1012 | 1029 | maxIndex = profileRangeList[1] |
|
|
1013 | 1030 | |
|
|
1014 | 1031 | if self.isThisProfileInRange(dataOut.profileIndex, minIndex, maxIndex): |
|
|
1015 | 1032 | |
|
|
1016 | 1033 | self.nProfiles = maxIndex - minIndex + 1 |
|
|
1017 | 1034 | dataOut.nProfiles = self.nProfiles |
|
|
1018 | 1035 | dataOut.profileIndex = self.profileIndex |
|
|
1019 | 1036 | dataOut.flagNoData = False |
|
|
1020 | 1037 | |
|
|
1021 | 1038 | self.incProfileIndex() |
|
|
1022 | 1039 | return dataOut |
|
|
1023 | 1040 | |
|
|
1024 | 1041 | if rangeList != None: |
|
|
1025 | 1042 | |
|
|
1026 | 1043 | nProfiles = 0 |
|
|
1027 | 1044 | |
|
|
1028 | 1045 | for thisRange in rangeList: |
|
|
1029 | 1046 | minIndex = thisRange[0] |
|
|
1030 | 1047 | maxIndex = thisRange[1] |
|
|
1031 | 1048 | |
|
|
1032 | 1049 | nProfiles += maxIndex - minIndex + 1 |
|
|
1033 | 1050 | |
|
|
1034 | 1051 | for thisRange in rangeList: |
|
|
1035 | 1052 | |
|
|
1036 | 1053 | minIndex = thisRange[0] |
|
|
1037 | 1054 | maxIndex = thisRange[1] |
|
|
1038 | 1055 | |
|
|
1039 | 1056 | if self.isThisProfileInRange(dataOut.profileIndex, minIndex, maxIndex): |
|
|
1040 | 1057 | |
|
|
1041 | 1058 | self.nProfiles = nProfiles |
|
|
1042 | 1059 | dataOut.nProfiles = self.nProfiles |
|
|
1043 | 1060 | dataOut.profileIndex = self.profileIndex |
|
|
1044 | 1061 | dataOut.flagNoData = False |
|
|
1045 | 1062 | |
|
|
1046 | 1063 | self.incProfileIndex() |
|
|
1047 | 1064 | |
|
|
1048 | 1065 | break |
|
|
1049 | 1066 | |
|
|
1050 | 1067 | return dataOut |
|
|
1051 | 1068 | |
|
|
1052 | 1069 | |
|
|
1053 | 1070 | if beam != None: #beam is only for AMISR data |
|
|
1054 | 1071 | if self.isThisProfileInList(dataOut.profileIndex, dataOut.beamRangeDict[beam]): |
|
|
1055 | 1072 | dataOut.flagNoData = False |
|
|
1056 | 1073 | dataOut.profileIndex = self.profileIndex |
|
|
1057 | 1074 | |
|
|
1058 | 1075 | self.incProfileIndex() |
|
|
1059 | 1076 | |
|
|
1060 | 1077 | return dataOut |
|
|
1061 | 1078 | |
|
|
1062 | 1079 | raise ValueError("ProfileSelector needs profileList, profileRangeList or rangeList parameter") |
|
|
1063 | 1080 | |
|
|
1064 | 1081 | |
|
|
1065 | 1082 | class Reshaper(Operation): |
|
|
1066 | 1083 | |
|
|
1067 | 1084 | def __init__(self, **kwargs): |
|
|
1068 | 1085 | |
|
|
1069 | 1086 | Operation.__init__(self, **kwargs) |
|
|
1070 | 1087 | |
|
|
1071 | 1088 | self.__buffer = None |
|
|
1072 | 1089 | self.__nitems = 0 |
|
|
1073 | 1090 | |
|
|
1074 | 1091 | def __appendProfile(self, dataOut, nTxs): |
|
|
1075 | 1092 | |
|
|
1076 | 1093 | if self.__buffer is None: |
|
|
1077 | 1094 | shape = (dataOut.nChannels, int(dataOut.nHeights/nTxs) ) |
|
|
1078 | 1095 | self.__buffer = numpy.empty(shape, dtype = dataOut.data.dtype) |
|
|
1079 | 1096 | |
|
|
1080 | 1097 | ini = dataOut.nHeights * self.__nitems |
|
|
1081 | 1098 | end = ini + dataOut.nHeights |
|
|
1082 | 1099 | |
|
|
1083 | 1100 | self.__buffer[:, ini:end] = dataOut.data |
|
|
1084 | 1101 | |
|
|
1085 | 1102 | self.__nitems += 1 |
|
|
1086 | 1103 | |
|
|
1087 | 1104 | return int(self.__nitems*nTxs) |
|
|
1088 | 1105 | |
|
|
1089 | 1106 | def __getBuffer(self): |
|
|
1090 | 1107 | |
|
|
1091 | 1108 | if self.__nitems == int(1./self.__nTxs): |
|
|
1092 | 1109 | |
|
|
1093 | 1110 | self.__nitems = 0 |
|
|
1094 | 1111 | |
|
|
1095 | 1112 | return self.__buffer.copy() |
|
|
1096 | 1113 | |
|
|
1097 | 1114 | return None |
|
|
1098 | 1115 | |
|
|
1099 | 1116 | def __checkInputs(self, dataOut, shape, nTxs): |
|
|
1100 | 1117 | |
|
|
1101 | 1118 | if shape is None and nTxs is None: |
|
|
1102 | 1119 | raise ValueError("Reshaper: shape of factor should be defined") |
|
|
1103 | 1120 | |
|
|
1104 | 1121 | if nTxs: |
|
|
1105 | 1122 | if nTxs < 0: |
|
|
1106 | 1123 | raise ValueError("nTxs should be greater than 0") |
|
|
1107 | 1124 | |
|
|
1108 | 1125 | if nTxs < 1 and dataOut.nProfiles % (1./nTxs) != 0: |
|
|
1109 | 1126 | raise ValueError("nProfiles= %d is not divisibled by (1./nTxs) = %f" %(dataOut.nProfiles, (1./nTxs))) |
|
|
1110 | 1127 | |
|
|
1111 | 1128 | shape = [dataOut.nChannels, dataOut.nProfiles*nTxs, dataOut.nHeights/nTxs] |
|
|
1112 | 1129 | |
|
|
1113 | 1130 | return shape, nTxs |
|
|
1114 | 1131 | |
|
|
1115 | 1132 | if len(shape) != 2 and len(shape) != 3: |
|
|
1116 | 1133 | raise ValueError("shape dimension should be equal to 2 or 3. shape = (nProfiles, nHeis) or (nChannels, nProfiles, nHeis). Actually shape = (%d, %d, %d)" %(dataOut.nChannels, dataOut.nProfiles, dataOut.nHeights)) |
|
|
1117 | 1134 | |
|
|
1118 | 1135 | if len(shape) == 2: |
|
|
1119 | 1136 | shape_tuple = [dataOut.nChannels] |
|
|
1120 | 1137 | shape_tuple.extend(shape) |
|
|
1121 | 1138 | else: |
|
|
1122 | 1139 | shape_tuple = list(shape) |
|
|
1123 | 1140 | |
|
|
1124 | 1141 | nTxs = 1.0*shape_tuple[1]/dataOut.nProfiles |
|
|
1125 | 1142 | |
|
|
1126 | 1143 | return shape_tuple, nTxs |
|
|
1127 | 1144 | |
|
|
1128 | 1145 | def run(self, dataOut, shape=None, nTxs=None): |
|
|
1129 | 1146 | |
|
|
1130 | 1147 | shape_tuple, self.__nTxs = self.__checkInputs(dataOut, shape, nTxs) |
|
|
1131 | 1148 | |
|
|
1132 | 1149 | dataOut.flagNoData = True |
|
|
1133 | 1150 | profileIndex = None |
|
|
1134 | 1151 | |
|
|
1135 | 1152 | if dataOut.flagDataAsBlock: |
|
|
1136 | 1153 | |
|
|
1137 | 1154 | dataOut.data = numpy.reshape(dataOut.data, shape_tuple) |
|
|
1138 | 1155 | dataOut.flagNoData = False |
|
|
1139 | 1156 | |
|
|
1140 | 1157 | profileIndex = int(dataOut.nProfiles*self.__nTxs) - 1 |
|
|
1141 | 1158 | |
|
|
1142 | 1159 | else: |
|
|
1143 | 1160 | |
|
|
1144 | 1161 | if self.__nTxs < 1: |
|
|
1145 | 1162 | |
|
|
1146 | 1163 | self.__appendProfile(dataOut, self.__nTxs) |
|
|
1147 | 1164 | new_data = self.__getBuffer() |
|
|
1148 | 1165 | |
|
|
1149 | 1166 | if new_data is not None: |
|
|
1150 | 1167 | dataOut.data = new_data |
|
|
1151 | 1168 | dataOut.flagNoData = False |
|
|
1152 | 1169 | |
|
|
1153 | 1170 | profileIndex = dataOut.profileIndex*nTxs |
|
|
1154 | 1171 | |
|
|
1155 | 1172 | else: |
|
|
1156 | 1173 | raise ValueError("nTxs should be greater than 0 and lower than 1, or use VoltageReader(..., getblock=True)") |
|
|
1157 | 1174 | |
|
|
1158 | 1175 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
1159 | 1176 | |
|
|
1160 | 1177 | dataOut.heightList = numpy.arange(dataOut.nHeights/self.__nTxs) * deltaHeight + dataOut.heightList[0] |
|
|
1161 | 1178 | |
|
|
1162 | 1179 | dataOut.nProfiles = int(dataOut.nProfiles*self.__nTxs) |
|
|
1163 | 1180 | |
|
|
1164 | 1181 | dataOut.profileIndex = profileIndex |
|
|
1165 | 1182 | |
|
|
1166 | 1183 | dataOut.ippSeconds /= self.__nTxs |
|
|
1167 | 1184 | |
|
|
1168 | 1185 | return dataOut |
|
|
1169 | 1186 | |
|
|
1170 | 1187 | class SplitProfiles(Operation): |
|
|
1171 | 1188 | |
|
|
1172 | 1189 | def __init__(self, **kwargs): |
|
|
1173 | 1190 | |
|
|
1174 | 1191 | Operation.__init__(self, **kwargs) |
|
|
1175 | 1192 | |
|
|
1176 | 1193 | def run(self, dataOut, n): |
|
|
1177 | 1194 | |
|
|
1178 | 1195 | dataOut.flagNoData = True |
|
|
1179 | 1196 | profileIndex = None |
|
|
1180 | 1197 | |
|
|
1181 | 1198 | if dataOut.flagDataAsBlock: |
|
|
1182 | 1199 | |
|
|
1183 | 1200 | #nchannels, nprofiles, nsamples |
|
|
1184 | 1201 | shape = dataOut.data.shape |
|
|
1185 | 1202 | |
|
|
1186 | 1203 | if shape[2] % n != 0: |
|
|
1187 | 1204 | raise ValueError("Could not split the data, n=%d has to be multiple of %d" %(n, shape[2])) |
|
|
1188 | 1205 | |
|
|
1189 | 1206 | new_shape = shape[0], shape[1]*n, int(shape[2]/n) |
|
|
1190 | 1207 | |
|
|
1191 | 1208 | dataOut.data = numpy.reshape(dataOut.data, new_shape) |
|
|
1192 | 1209 | dataOut.flagNoData = False |
|
|
1193 | 1210 | |
|
|
1194 | 1211 | profileIndex = int(dataOut.nProfiles/n) - 1 |
|
|
1195 | 1212 | |
|
|
1196 | 1213 | else: |
|
|
1197 | 1214 | |
|
|
1198 | 1215 | raise ValueError("Could not split the data when is read Profile by Profile. Use VoltageReader(..., getblock=True)") |
|
|
1199 | 1216 | |
|
|
1200 | 1217 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
1201 | 1218 | |
|
|
1202 | 1219 | dataOut.heightList = numpy.arange(dataOut.nHeights/n) * deltaHeight + dataOut.heightList[0] |
|
|
1203 | 1220 | |
|
|
1204 | 1221 | dataOut.nProfiles = int(dataOut.nProfiles*n) |
|
|
1205 | 1222 | |
|
|
1206 | 1223 | dataOut.profileIndex = profileIndex |
|
|
1207 | 1224 | |
|
|
1208 | 1225 | dataOut.ippSeconds /= n |
|
|
1209 | 1226 | |
|
|
1210 | 1227 | return dataOut |
|
|
1211 | 1228 | |
|
|
1212 | 1229 | class CombineProfiles(Operation): |
|
|
1213 | 1230 | def __init__(self, **kwargs): |
|
|
1214 | 1231 | |
|
|
1215 | 1232 | Operation.__init__(self, **kwargs) |
|
|
1216 | 1233 | |
|
|
1217 | 1234 | self.__remData = None |
|
|
1218 | 1235 | self.__profileIndex = 0 |
|
|
1219 | 1236 | |
|
|
1220 | 1237 | def run(self, dataOut, n): |
|
|
1221 | 1238 | |
|
|
1222 | 1239 | dataOut.flagNoData = True |
|
|
1223 | 1240 | profileIndex = None |
|
|
1224 | 1241 | |
|
|
1225 | 1242 | if dataOut.flagDataAsBlock: |
|
|
1226 | 1243 | |
|
|
1227 | 1244 | #nchannels, nprofiles, nsamples |
|
|
1228 | 1245 | shape = dataOut.data.shape |
|
|
1229 | 1246 | new_shape = shape[0], shape[1]/n, shape[2]*n |
|
|
1230 | 1247 | |
|
|
1231 | 1248 | if shape[1] % n != 0: |
|
|
1232 | 1249 | raise ValueError("Could not split the data, n=%d has to be multiple of %d" %(n, shape[1])) |
|
|
1233 | 1250 | |
|
|
1234 | 1251 | dataOut.data = numpy.reshape(dataOut.data, new_shape) |
|
|
1235 | 1252 | dataOut.flagNoData = False |
|
|
1236 | 1253 | |
|
|
1237 | 1254 | profileIndex = int(dataOut.nProfiles*n) - 1 |
|
|
1238 | 1255 | |
|
|
1239 | 1256 | else: |
|
|
1240 | 1257 | |
|
|
1241 | 1258 | #nchannels, nsamples |
|
|
1242 | 1259 | if self.__remData is None: |
|
|
1243 | 1260 | newData = dataOut.data |
|
|
1244 | 1261 | else: |
|
|
1245 | 1262 | newData = numpy.concatenate((self.__remData, dataOut.data), axis=1) |
|
|
1246 | 1263 | |
|
|
1247 | 1264 | self.__profileIndex += 1 |
|
|
1248 | 1265 | |
|
|
1249 | 1266 | if self.__profileIndex < n: |
|
|
1250 | 1267 | self.__remData = newData |
|
|
1251 | 1268 | #continue |
|
|
1252 | 1269 | return |
|
|
1253 | 1270 | |
|
|
1254 | 1271 | self.__profileIndex = 0 |
|
|
1255 | 1272 | self.__remData = None |
|
|
1256 | 1273 | |
|
|
1257 | 1274 | dataOut.data = newData |
|
|
1258 | 1275 | dataOut.flagNoData = False |
|
|
1259 | 1276 | |
|
|
1260 | 1277 | profileIndex = dataOut.profileIndex/n |
|
|
1261 | 1278 | |
|
|
1262 | 1279 | |
|
|
1263 | 1280 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
1264 | 1281 | |
|
|
1265 | 1282 | dataOut.heightList = numpy.arange(dataOut.nHeights*n) * deltaHeight + dataOut.heightList[0] |
|
|
1266 | 1283 | |
|
|
1267 | 1284 | dataOut.nProfiles = int(dataOut.nProfiles/n) |
|
|
1268 | 1285 | |
|
|
1269 | 1286 | dataOut.profileIndex = profileIndex |
|
|
1270 | 1287 | |
|
|
1271 | 1288 | dataOut.ippSeconds *= n |
|
|
1272 | 1289 | |
|
|
1273 | 1290 | return dataOut |
|
|
1274 | 1291 | |
|
|
1275 | 1292 | class PulsePairVoltage(Operation): |
|
|
1276 | 1293 | ''' |
|
|
1277 | 1294 | Function PulsePair(Signal Power, Velocity) |
|
|
1278 | 1295 | The real component of Lag[0] provides Intensity Information |
|
|
1279 | 1296 | The imag component of Lag[1] Phase provides Velocity Information |
|
|
1280 | 1297 | |
|
|
1281 | 1298 | Configuration Parameters: |
|
|
1282 | 1299 | nPRF = Number of Several PRF |
|
|
1283 | 1300 | theta = Degree Azimuth angel Boundaries |
|
|
1284 | 1301 | |
|
|
1285 | 1302 | Input: |
|
|
1286 | 1303 | self.dataOut |
|
|
1287 | 1304 | lag[N] |
|
|
1288 | 1305 | Affected: |
|
|
1289 | 1306 | self.dataOut.spc |
|
|
1290 | 1307 | ''' |
|
|
1291 | 1308 | isConfig = False |
|
|
1292 | 1309 | __profIndex = 0 |
|
|
1293 | 1310 | __initime = None |
|
|
1294 | 1311 | __lastdatatime = None |
|
|
1295 | 1312 | __buffer = None |
|
|
1296 | 1313 | __buffer2 = [] |
|
|
1297 | 1314 | __buffer3 = None |
|
|
1298 | 1315 | __dataReady = False |
|
|
1299 | 1316 | n = None |
|
|
1300 | 1317 | __nch = 0 |
|
|
1301 | 1318 | __nHeis = 0 |
|
|
1302 | 1319 | removeDC = False |
|
|
1303 | 1320 | ipp = None |
|
|
1304 | 1321 | lambda_ = 0 |
|
|
1305 | 1322 | |
|
|
1306 | 1323 | def __init__(self,**kwargs): |
|
|
1307 | 1324 | Operation.__init__(self,**kwargs) |
|
|
1308 | 1325 | |
|
|
1309 | 1326 | def setup(self, dataOut, n = None, removeDC=False): |
|
|
1310 | 1327 | ''' |
|
|
1311 | 1328 | n= Numero de PRF's de entrada |
|
|
1312 | 1329 | ''' |
|
|
1313 | 1330 | self.__initime = None |
|
|
1314 | 1331 | self.__lastdatatime = 0 |
|
|
1315 | 1332 | self.__dataReady = False |
|
|
1316 | 1333 | self.__buffer = 0 |
|
|
1317 | 1334 | self.__buffer2 = [] |
|
|
1318 | 1335 | self.__buffer3 = 0 |
|
|
1319 | 1336 | self.__profIndex = 0 |
|
|
1320 | 1337 | |
|
|
1321 | 1338 | self.__nch = dataOut.nChannels |
|
|
1322 | 1339 | self.__nHeis = dataOut.nHeights |
|
|
1323 | 1340 | self.removeDC = removeDC |
|
|
1324 | 1341 | self.lambda_ = 3.0e8/(9345.0e6) |
|
|
1325 | 1342 | self.ippSec = dataOut.ippSeconds |
|
|
1326 | 1343 | self.nCohInt = dataOut.nCohInt |
|
|
1327 | 1344 | print("IPPseconds",dataOut.ippSeconds) |
|
|
1328 | 1345 | |
|
|
1329 | 1346 | print("ELVALOR DE n es:", n) |
|
|
1330 | 1347 | if n == None: |
|
|
1331 | 1348 | raise ValueError("n should be specified.") |
|
|
1332 | 1349 | |
|
|
1333 | 1350 | if n != None: |
|
|
1334 | 1351 | if n<2: |
|
|
1335 | 1352 | raise ValueError("n should be greater than 2") |
|
|
1336 | 1353 | |
|
|
1337 | 1354 | self.n = n |
|
|
1338 | 1355 | self.__nProf = n |
|
|
1339 | 1356 | |
|
|
1340 | 1357 | self.__buffer = numpy.zeros((dataOut.nChannels, |
|
|
1341 | 1358 | n, |
|
|
1342 | 1359 | dataOut.nHeights), |
|
|
1343 | 1360 | dtype='complex') |
|
|
1344 | 1361 | |
|
|
1345 | 1362 | def putData(self,data): |
|
|
1346 | 1363 | ''' |
|
|
1347 | 1364 | Add a profile to he __buffer and increase in one the __profiel Index |
|
|
1348 | 1365 | ''' |
|
|
1349 | 1366 | self.__buffer[:,self.__profIndex,:]= data |
|
|
1350 | 1367 | self.__profIndex += 1 |
|
|
1351 | 1368 | return |
|
|
1352 | 1369 | |
|
|
1353 | 1370 | def pushData(self): |
|
|
1354 | 1371 | ''' |
|
|
1355 | 1372 | Return the PULSEPAIR and the profiles used in the operation |
|
|
1356 | 1373 | Affected : self.__profileIndex |
|
|
1357 | 1374 | ''' |
|
|
1358 | 1375 | |
|
|
1359 | 1376 | if self.removeDC==True: |
|
|
1360 | 1377 | mean = numpy.mean(self.__buffer,1) |
|
|
1361 | 1378 | tmp = mean.reshape(self.__nch,1,self.__nHeis) |
|
|
1362 | 1379 | dc= numpy.tile(tmp,[1,self.__nProf,1]) |
|
|
1363 | 1380 | self.__buffer = self.__buffer - dc |
|
|
1364 | 1381 | |
|
|
1365 | 1382 | data_intensity = numpy.sum(self.__buffer*numpy.conj(self.__buffer),1)/(self.n*self.nCohInt)#*self.nCohInt) |
|
|
1366 | 1383 | pair1 = self.__buffer[:,1:,:]*numpy.conjugate(self.__buffer[:,:-1,:]) |
|
|
1367 | 1384 | angle = numpy.angle(numpy.sum(pair1,1))*180/(math.pi) |
|
|
1368 | 1385 | #print(angle.shape)#print("__ANGLE__") #print("angle",angle[:,:10]) |
|
|
1369 | 1386 | data_velocity = (self.lambda_/(4*math.pi*self.ippSec))*numpy.angle(numpy.sum(pair1,1))#self.ippSec*self.nCohInt |
|
|
1370 | 1387 | n = self.__profIndex |
|
|
1371 | 1388 | |
|
|
1372 | 1389 | self.__buffer = numpy.zeros((self.__nch, self.__nProf,self.__nHeis), dtype='complex') |
|
|
1373 | 1390 | self.__profIndex = 0 |
|
|
1374 | 1391 | return data_intensity,data_velocity,n |
|
|
1375 | 1392 | |
|
|
1376 | 1393 | def pulsePairbyProfiles(self,data): |
|
|
1377 | 1394 | |
|
|
1378 | 1395 | self.__dataReady = False |
|
|
1379 | 1396 | data_intensity = None |
|
|
1380 | 1397 | data_velocity = None |
|
|
1381 | 1398 | self.putData(data) |
|
|
1382 | 1399 | if self.__profIndex == self.n: |
|
|
1383 | 1400 | data_intensity, data_velocity, n = self.pushData() |
|
|
1384 | 1401 | self.__dataReady = True |
|
|
1385 | 1402 | |
|
|
1386 | 1403 | return data_intensity, data_velocity |
|
|
1387 | 1404 | |
|
|
1388 | 1405 | def pulsePairOp(self, data, datatime= None): |
|
|
1389 | 1406 | |
|
|
1390 | 1407 | if self.__initime == None: |
|
|
1391 | 1408 | self.__initime = datatime |
|
|
1392 | 1409 | |
|
|
1393 | 1410 | data_intensity, data_velocity = self.pulsePairbyProfiles(data) |
|
|
1394 | 1411 | self.__lastdatatime = datatime |
|
|
1395 | 1412 | |
|
|
1396 | 1413 | if data_intensity is None: |
|
|
1397 | 1414 | return None, None, None |
|
|
1398 | 1415 | |
|
|
1399 | 1416 | avgdatatime = self.__initime |
|
|
1400 | 1417 | deltatime = datatime - self.__lastdatatime |
|
|
1401 | 1418 | self.__initime = datatime |
|
|
1402 | 1419 | |
|
|
1403 | 1420 | return data_intensity, data_velocity, avgdatatime |
|
|
1404 | 1421 | |
|
|
1405 | 1422 | def run(self, dataOut,n = None,removeDC= False, overlapping= False,**kwargs): |
|
|
1406 | 1423 | |
|
|
1407 | 1424 | if not self.isConfig: |
|
|
1408 | 1425 | self.setup(dataOut = dataOut, n = n , removeDC=removeDC , **kwargs) |
|
|
1409 | 1426 | self.isConfig = True |
|
|
1410 | 1427 | data_intensity, data_velocity, avgdatatime = self.pulsePairOp(dataOut.data, dataOut.utctime) |
|
|
1411 | 1428 | dataOut.flagNoData = True |
|
|
1412 | 1429 | |
|
|
1413 | 1430 | if self.__dataReady: |
|
|
1414 | 1431 | dataOut.nCohInt *= self.n |
|
|
1415 | 1432 | dataOut.data_intensity = data_intensity #valor para intensidad |
|
|
1416 | 1433 | dataOut.data_velocity = data_velocity #valor para velocidad |
|
|
1417 | 1434 | dataOut.PRFbyAngle = self.n #numero de PRF*cada angulo rotado que equivale a un tiempo. |
|
|
1418 | 1435 | dataOut.utctime = avgdatatime |
|
|
1419 | 1436 | dataOut.flagNoData = False |
|
|
1420 | 1437 | return dataOut |
|
|
1421 | 1438 | |
|
|
1422 | 1439 | |
|
|
1423 | 1440 | # import collections |
|
|
1424 | 1441 | # from scipy.stats import mode |
|
|
1425 | 1442 | # |
|
|
1426 | 1443 | # class Synchronize(Operation): |
|
|
1427 | 1444 | # |
|
|
1428 | 1445 | # isConfig = False |
|
|
1429 | 1446 | # __profIndex = 0 |
|
|
1430 | 1447 | # |
|
|
1431 | 1448 | # def __init__(self, **kwargs): |
|
|
1432 | 1449 | # |
|
|
1433 | 1450 | # Operation.__init__(self, **kwargs) |
|
|
1434 | 1451 | # # self.isConfig = False |
|
|
1435 | 1452 | # self.__powBuffer = None |
|
|
1436 | 1453 | # self.__startIndex = 0 |
|
|
1437 | 1454 | # self.__pulseFound = False |
|
|
1438 | 1455 | # |
|
|
1439 | 1456 | # def __findTxPulse(self, dataOut, channel=0, pulse_with = None): |
|
|
1440 | 1457 | # |
|
|
1441 | 1458 | # #Read data |
|
|
1442 | 1459 | # |
|
|
1443 | 1460 | # powerdB = dataOut.getPower(channel = channel) |
|
|
1444 | 1461 | # noisedB = dataOut.getNoise(channel = channel)[0] |
|
|
1445 | 1462 | # |
|
|
1446 | 1463 | # self.__powBuffer.extend(powerdB.flatten()) |
|
|
1447 | 1464 | # |
|
|
1448 | 1465 | # dataArray = numpy.array(self.__powBuffer) |
|
|
1449 | 1466 | # |
|
|
1450 | 1467 | # filteredPower = numpy.correlate(dataArray, dataArray[0:self.__nSamples], "same") |
|
|
1451 | 1468 | # |
|
|
1452 | 1469 | # maxValue = numpy.nanmax(filteredPower) |
|
|
1453 | 1470 | # |
|
|
1454 | 1471 | # if maxValue < noisedB + 10: |
|
|
1455 | 1472 | # #No se encuentra ningun pulso de transmision |
|
|
1456 | 1473 | # return None |
|
|
1457 | 1474 | # |
|
|
1458 | 1475 | # maxValuesIndex = numpy.where(filteredPower > maxValue - 0.1*abs(maxValue))[0] |
|
|
1459 | 1476 | # |
|
|
1460 | 1477 | # if len(maxValuesIndex) < 2: |
|
|
1461 | 1478 | # #Solo se encontro un solo pulso de transmision de un baudio, esperando por el siguiente TX |
|
|
1462 | 1479 | # return None |
|
|
1463 | 1480 | # |
|
|
1464 | 1481 | # phasedMaxValuesIndex = maxValuesIndex - self.__nSamples |
|
|
1465 | 1482 | # |
|
|
1466 | 1483 | # #Seleccionar solo valores con un espaciamiento de nSamples |
|
|
1467 | 1484 | # pulseIndex = numpy.intersect1d(maxValuesIndex, phasedMaxValuesIndex) |
|
|
1468 | 1485 | # |
|
|
1469 | 1486 | # if len(pulseIndex) < 2: |
|
|
1470 | 1487 | # #Solo se encontro un pulso de transmision con ancho mayor a 1 |
|
|
1471 | 1488 | # return None |
|
|
1472 | 1489 | # |
|
|
1473 | 1490 | # spacing = pulseIndex[1:] - pulseIndex[:-1] |
|
|
1474 | 1491 | # |
|
|
1475 | 1492 | # #remover senales que se distancien menos de 10 unidades o muestras |
|
|
1476 | 1493 | # #(No deberian existir IPP menor a 10 unidades) |
|
|
1477 | 1494 | # |
|
|
1478 | 1495 | # realIndex = numpy.where(spacing > 10 )[0] |
|
|
1479 | 1496 | # |
|
|
1480 | 1497 | # if len(realIndex) < 2: |
|
|
1481 | 1498 | # #Solo se encontro un pulso de transmision con ancho mayor a 1 |
|
|
1482 | 1499 | # return None |
|
|
1483 | 1500 | # |
|
|
1484 | 1501 | # #Eliminar pulsos anchos (deja solo la diferencia entre IPPs) |
|
|
1485 | 1502 | # realPulseIndex = pulseIndex[realIndex] |
|
|
1486 | 1503 | # |
|
|
1487 | 1504 | # period = mode(realPulseIndex[1:] - realPulseIndex[:-1])[0][0] |
|
|
1488 | 1505 | # |
|
|
1489 | 1506 | # print "IPP = %d samples" %period |
|
|
1490 | 1507 | # |
|
|
1491 | 1508 | # self.__newNSamples = dataOut.nHeights #int(period) |
|
|
1492 | 1509 | # self.__startIndex = int(realPulseIndex[0]) |
|
|
1493 | 1510 | # |
|
|
1494 | 1511 | # return 1 |
|
|
1495 | 1512 | # |
|
|
1496 | 1513 | # |
|
|
1497 | 1514 | # def setup(self, nSamples, nChannels, buffer_size = 4): |
|
|
1498 | 1515 | # |
|
|
1499 | 1516 | # self.__powBuffer = collections.deque(numpy.zeros( buffer_size*nSamples,dtype=numpy.float), |
|
|
1500 | 1517 | # maxlen = buffer_size*nSamples) |
|
|
1501 | 1518 | # |
|
|
1502 | 1519 | # bufferList = [] |
|
|
1503 | 1520 | # |
|
|
1504 | 1521 | # for i in range(nChannels): |
|
|
1505 | 1522 | # bufferByChannel = collections.deque(numpy.zeros( buffer_size*nSamples, dtype=numpy.complex) + numpy.NAN, |
|
|
1506 | 1523 | # maxlen = buffer_size*nSamples) |
|
|
1507 | 1524 | # |
|
|
1508 | 1525 | # bufferList.append(bufferByChannel) |
|
|
1509 | 1526 | # |
|
|
1510 | 1527 | # self.__nSamples = nSamples |
|
|
1511 | 1528 | # self.__nChannels = nChannels |
|
|
1512 | 1529 | # self.__bufferList = bufferList |
|
|
1513 | 1530 | # |
|
|
1514 | 1531 | # def run(self, dataOut, channel = 0): |
|
|
1515 | 1532 | # |
|
|
1516 | 1533 | # if not self.isConfig: |
|
|
1517 | 1534 | # nSamples = dataOut.nHeights |
|
|
1518 | 1535 | # nChannels = dataOut.nChannels |
|
|
1519 | 1536 | # self.setup(nSamples, nChannels) |
|
|
1520 | 1537 | # self.isConfig = True |
|
|
1521 | 1538 | # |
|
|
1522 | 1539 | # #Append new data to internal buffer |
|
|
1523 | 1540 | # for thisChannel in range(self.__nChannels): |
|
|
1524 | 1541 | # bufferByChannel = self.__bufferList[thisChannel] |
|
|
1525 | 1542 | # bufferByChannel.extend(dataOut.data[thisChannel]) |
|
|
1526 | 1543 | # |
|
|
1527 | 1544 | # if self.__pulseFound: |
|
|
1528 | 1545 | # self.__startIndex -= self.__nSamples |
|
|
1529 | 1546 | # |
|
|
1530 | 1547 | # #Finding Tx Pulse |
|
|
1531 | 1548 | # if not self.__pulseFound: |
|
|
1532 | 1549 | # indexFound = self.__findTxPulse(dataOut, channel) |
|
|
1533 | 1550 | # |
|
|
1534 | 1551 | # if indexFound == None: |
|
|
1535 | 1552 | # dataOut.flagNoData = True |
|
|
1536 | 1553 | # return |
|
|
1537 | 1554 | # |
|
|
1538 | 1555 | # self.__arrayBuffer = numpy.zeros((self.__nChannels, self.__newNSamples), dtype = numpy.complex) |
|
|
1539 | 1556 | # self.__pulseFound = True |
|
|
1540 | 1557 | # self.__startIndex = indexFound |
|
|
1541 | 1558 | # |
|
|
1542 | 1559 | # #If pulse was found ... |
|
|
1543 | 1560 | # for thisChannel in range(self.__nChannels): |
|
|
1544 | 1561 | # bufferByChannel = self.__bufferList[thisChannel] |
|
|
1545 | 1562 | # #print self.__startIndex |
|
|
1546 | 1563 | # x = numpy.array(bufferByChannel) |
|
|
1547 | 1564 | # self.__arrayBuffer[thisChannel] = x[self.__startIndex:self.__startIndex+self.__newNSamples] |
|
|
1548 | 1565 | # |
|
|
1549 | 1566 | # deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
1550 | 1567 | # dataOut.heightList = numpy.arange(self.__newNSamples)*deltaHeight |
|
|
1551 | 1568 | # # dataOut.ippSeconds = (self.__newNSamples / deltaHeight)/1e6 |
|
|
1552 | 1569 | # |
|
|
1553 | 1570 | # dataOut.data = self.__arrayBuffer |
|
|
1554 | 1571 | # |
|
|
1555 | 1572 | # self.__startIndex += self.__newNSamples |
|
|
1556 | 1573 | # |
|
|
1557 | 1574 | # return |
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