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1 | [Desktop Entry] | |||
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2 | Encoding=UTF-8 | |||
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3 | Name=Link to | |||
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4 | Type=Link | |||
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5 | URL=file:///home/nanosat/schain/schainpy/utils/parameters.txt | |||
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6 | Icon=text-plain | |||
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1 | You should install "digital_rf_hdf5" module if you want to read USRP data | |||
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2 | BeaconPhase | |||
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3 | parameters = { | |||
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4 | 'id': 'string', | |||
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5 | 'wintitle': 'string', | |||
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6 | 'pairsList': 'pairsList', | |||
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7 | 'showprofile': 'boolean', | |||
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8 | 'xmin': 'float', | |||
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9 | 'xmax': 'float', | |||
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10 | 'ymin': 'float', | |||
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11 | 'ymax': 'float', | |||
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12 | 'hmin': 'float', | |||
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13 | 'hmax': 'float', | |||
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14 | 'timerange': 'float', | |||
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15 | 'save': 'boolean', | |||
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16 | 'figpath': 'string', | |||
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17 | 'figfile': 'string', | |||
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18 | 'show': 'boolean', | |||
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19 | 'ftp': 'boolean', | |||
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20 | 'wr_period': 'int', | |||
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21 | 'server': 'string', | |||
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22 | 'folder': 'string', | |||
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23 | 'username': 'string', | |||
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24 | 'password': 'string', | |||
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25 | 'ftp_wei': 'int', | |||
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26 | 'exp_code': 'int', | |||
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27 | 'sub_exp_code': 'int', | |||
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28 | 'plot_pos': 'int', | |||
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29 | } | |||
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30 | ||||
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31 | ||||
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32 | BeamSelector | |||
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33 | parameters = { | |||
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34 | 'beam': 'string', | |||
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35 | } | |||
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36 | ||||
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37 | ||||
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38 | CohInt | |||
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39 | parameters = { | |||
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40 | 'n': 'int', | |||
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41 | 'timeInterval': 'float', | |||
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42 | 'overlapping': 'boolean', | |||
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43 | 'byblock': 'boolean' | |||
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44 | } | |||
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45 | ||||
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46 | ||||
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47 | CoherenceMap | |||
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48 | parameters = { | |||
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49 | 'id': 'string', | |||
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50 | 'wintitle': 'string', | |||
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51 | 'pairsList': 'pairsLists', | |||
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52 | 'showprofile': 'boolean', | |||
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53 | 'xmin': 'float', | |||
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54 | 'xmax': 'float', | |||
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55 | 'ymin': 'float', | |||
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56 | 'ymax': 'float', | |||
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57 | 'zmin': 'float', | |||
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58 | 'zmax': 'float', | |||
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59 | 'timerange': 'float', | |||
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60 | 'phase_min': 'float', | |||
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61 | 'phase_max': 'float', | |||
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62 | 'save': 'boolean', | |||
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63 | 'figpath': 'string', | |||
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64 | 'figfile': 'string', | |||
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65 | 'ftp': 'boolean', | |||
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66 | 'wr_period': 'int', | |||
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67 | 'coherence_cmap': 'colormap', | |||
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68 | 'phase_cmap': 'colormap', | |||
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69 | 'show': 'boolean', | |||
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70 | 'server': 'string', | |||
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71 | 'folder': 'string', | |||
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72 | 'username': 'string', | |||
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73 | 'password': 'string', | |||
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74 | 'ftp_wei': 'int', | |||
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75 | 'exp_code': 'int', | |||
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76 | 'sub_exp_code': 'int', | |||
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77 | 'plot_pos': 'int', | |||
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78 | } | |||
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79 | ||||
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80 | ||||
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81 | CombineProfiles | |||
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82 | parameters = { | |||
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83 | 'n': 'int', | |||
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84 | } | |||
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85 | ||||
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86 | ||||
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87 | CorrectSMPhases | |||
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88 | parameters = { | |||
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89 | 'phaseOffsets': 'pairsLists', | |||
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90 | 'hmin': 'float', | |||
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91 | 'hmax': 'float', | |||
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92 | 'azimuth': 'string', | |||
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93 | 'channelPositions': 'string', | |||
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94 | } | |||
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95 | ||||
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96 | ||||
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97 | CorrelationPlot | |||
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98 | parameters = { | |||
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99 | 'id': 'string', | |||
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100 | 'wintitle': 'string', | |||
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101 | 'channelList': 'string', | |||
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102 | 'showprofile': 'string', | |||
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103 | 'xmin': 'float', | |||
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104 | 'xmax': 'float', | |||
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105 | 'ymin': 'float', | |||
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106 | 'ymax': 'float', | |||
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107 | 'zmin': 'float', | |||
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108 | 'zmax': 'float', | |||
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109 | 'save': 'boolean', | |||
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110 | 'figpath': 'string', | |||
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111 | 'figfile': 'string', | |||
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112 | 'show': 'boolean', | |||
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113 | 'ftp': 'boolean', | |||
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114 | 'wr_period': 'int', | |||
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115 | 'server': 'string', | |||
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116 | 'folder': 'string', | |||
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117 | 'username': 'string', | |||
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118 | 'password': 'string', | |||
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119 | 'ftp_wei': 'string', | |||
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120 | 'exp_code': 'int', | |||
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121 | 'sub_exp_code': 'int', | |||
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122 | 'plot_pos': 'int', | |||
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123 | 'realtime': 'string', | |||
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124 | } | |||
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125 | ||||
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126 | ||||
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127 | CrossSpectraPlot | |||
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128 | parameters = { | |||
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129 | 'id': 'string', | |||
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130 | 'wintitle': 'string', | |||
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131 | 'pairsList': 'pairsLists', | |||
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132 | 'xmin': 'float', | |||
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133 | 'xmax': 'float', | |||
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134 | 'ymin': 'float', | |||
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135 | 'ymax': 'float', | |||
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136 | 'zmin': 'float', | |||
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137 | 'zmax': 'float', | |||
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138 | 'coh_min': 'string', | |||
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139 | 'coh_max': 'string', | |||
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140 | 'phase_min': 'string', | |||
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141 | 'phase_max': 'string', | |||
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142 | 'save': 'boolean', | |||
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143 | 'figpath': 'string', | |||
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144 | 'figfile': 'string', | |||
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145 | 'ftp': 'boolean', | |||
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146 | 'wr_period': 'int', | |||
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147 | 'power_cmap': 'string', | |||
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148 | 'coherence_cmap': 'string', | |||
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149 | 'phase_cmap': 'string', | |||
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150 | 'show': 'string', | |||
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151 | 'server': 'string', | |||
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152 | 'folder': 'string', | |||
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153 | 'username': 'string', | |||
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154 | 'password': 'string', | |||
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155 | 'ftp_wei': 'string', | |||
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156 | 'exp_code': 'int', | |||
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157 | 'sub_exp_code': 'int', | |||
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158 | 'plot_pos': 'int', | |||
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159 | 'xaxis': 'string', | |||
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160 | } | |||
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161 | ||||
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162 | ||||
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163 | Decoder | |||
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164 | parameters = { | |||
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165 | 'code': 'string', | |||
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166 | 'nCode': 'string', | |||
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167 | 'nBaud': 'string', | |||
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168 | 'mode': 'string', | |||
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169 | 'osamp': 'string', | |||
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170 | 'times': 'string', | |||
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171 | } | |||
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172 | ||||
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173 | ||||
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174 | EWDriftsEstimation | |||
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175 | parameters = { | |||
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176 | 'zenith': 'string', | |||
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177 | 'zenithCorrection': 'string', | |||
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178 | } | |||
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179 | ||||
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180 | ||||
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181 | EWDriftsPlot | |||
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182 | parameters = { | |||
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183 | 'id': 'string', | |||
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184 | 'wintitle': 'string', | |||
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185 | 'channelList': 'string', | |||
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186 | 'xmin': 'float', | |||
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187 | 'xmax': 'float', | |||
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188 | 'ymin': 'float', | |||
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189 | 'ymax': 'float', | |||
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190 | 'zmin': 'float', | |||
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191 | 'zmax': 'float', | |||
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192 | 'zmaxVertfloat 'string', | |||
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193 | 'zminVertfloat 'string', | |||
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194 | 'zmaxZonafloattring', | |||
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195 | 'zminZonafloattring', | |||
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196 | 'timerange': 'string', | |||
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197 | 'SNRthresh': 'string', | |||
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198 | 'SNRmin': 'string', | |||
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199 | 'SNRmax': 'string', | |||
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200 | 'SNR_1': 'string', | |||
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201 | 'save': 'boolean', | |||
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202 | 'figpath': 'string', | |||
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203 | 'lastone': 'string', | |||
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204 | 'figfile': 'string', | |||
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205 | 'ftp': 'string', | |||
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206 | 'wr_period': 'int', | |||
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207 | 'show': 'string', | |||
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208 | 'server': 'string', | |||
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209 | 'folder': 'string', | |||
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210 | 'username': 'string', | |||
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211 | 'password': 'string', | |||
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212 | 'ftp_wei': 'string', | |||
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213 | 'exp_code': 'int', | |||
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214 | 'sub_exp_code': 'int', | |||
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215 | 'plot_pos': 'int', | |||
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216 | } | |||
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217 | ||||
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218 | ||||
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219 | Figure | |||
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220 | parameters = { | |||
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221 | : 'string', | |||
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222 | } | |||
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223 | ||||
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224 | ||||
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225 | FitsWriter | |||
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226 | parameters = { | |||
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227 | : 'string', | |||
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228 | } | |||
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229 | ||||
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230 | ||||
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231 | IncohInt | |||
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232 | parameters = { | |||
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233 | 'n': 'string', | |||
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234 | 'timeInterval': 'string', | |||
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235 | 'overlapping': 'string', | |||
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236 | } | |||
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237 | ||||
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238 | ||||
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239 | IncohInt4SpectraHeis | |||
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240 | parameters = { | |||
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241 | : 'string', | |||
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242 | } | |||
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243 | ||||
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244 | ||||
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245 | MomentsPlot | |||
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246 | parameters = { | |||
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247 | 'id': 'string', | |||
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248 | 'wintitle': 'string', | |||
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249 | 'channelList': 'string', | |||
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250 | 'showprofile': 'string', | |||
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251 | 'xmin': 'float', | |||
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252 | 'xmax': 'float', | |||
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253 | 'ymin': 'float', | |||
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254 | 'ymax': 'float', | |||
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255 | 'zmin': 'float', | |||
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256 | 'zmax': 'float', | |||
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257 | 'save': 'boolean', | |||
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258 | 'figpath': 'string', | |||
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259 | 'figfile': 'string', | |||
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260 | 'show': 'string', | |||
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261 | 'ftp': 'string', | |||
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262 | 'wr_period': 'int', | |||
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263 | 'server': 'string', | |||
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264 | 'folder': 'string', | |||
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265 | 'username': 'string', | |||
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266 | 'password': 'string', | |||
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267 | 'ftp_wei': 'string', | |||
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268 | 'exp_code': 'int', | |||
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269 | 'sub_exp_code': 'int', | |||
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270 | 'plot_pos': 'int', | |||
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271 | 'realtime': 'string', | |||
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272 | } | |||
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273 | ||||
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274 | ||||
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275 | NSMeteorDetection1Plot | |||
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276 | parameters = { | |||
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277 | 'id': 'string', | |||
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278 | 'wintitle': 'string', | |||
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279 | 'channelList': 'string', | |||
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280 | 'showprofile': 'string', | |||
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281 | 'xmin': 'float', | |||
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282 | 'xmax': 'float', | |||
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283 | 'ymin': 'float', | |||
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284 | 'ymax': 'float', | |||
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285 | 'SNRmin': 'string', | |||
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286 | 'SNRmax': 'string', | |||
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287 | 'vmin': 'string', | |||
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288 | 'vmax': 'string', | |||
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289 | 'wmin': 'string', | |||
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290 | 'wmax': 'string', | |||
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291 | 'mode': 'string', | |||
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292 | 'save': 'boolean', | |||
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293 | 'figpath': 'string', | |||
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294 | 'figfile': 'string', | |||
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295 | 'show': 'string', | |||
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296 | 'ftp': 'string', | |||
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297 | 'wr_period': 'int', | |||
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298 | 'server': 'string', | |||
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299 | 'folder': 'string', | |||
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300 | 'username': 'string', | |||
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301 | 'password': 'string', | |||
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302 | 'ftp_wei': 'string', | |||
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303 | 'exp_code': 'int', | |||
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304 | 'sub_exp_code': 'int', | |||
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305 | 'plot_pos': 'int', | |||
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306 | 'realtime': 'string', | |||
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307 | 'xaxis': 'string', | |||
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308 | } | |||
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309 | ||||
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310 | ||||
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311 | NSMeteorDetection2Plot | |||
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312 | parameters = { | |||
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313 | 'id': 'string', | |||
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314 | 'wintitle': 'string', | |||
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315 | 'channelList': 'string', | |||
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316 | 'showprofile': 'string', | |||
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317 | 'xmin': 'float', | |||
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318 | 'xmax': 'float', | |||
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319 | 'ymin': 'float', | |||
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320 | 'ymax': 'float', | |||
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321 | 'SNRmin': 'string', | |||
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322 | 'SNRmax': 'string', | |||
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323 | 'vmin': 'string', | |||
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324 | 'vmax': 'string', | |||
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325 | 'wmin': 'string', | |||
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326 | 'wmax': 'string', | |||
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327 | 'mode': 'string', | |||
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328 | 'save': 'boolean', | |||
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329 | 'figpath': 'string', | |||
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330 | 'figfile': 'string', | |||
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331 | 'show': 'string', | |||
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332 | 'ftp': 'string', | |||
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333 | 'wr_period': 'int', | |||
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334 | 'server': 'string', | |||
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335 | 'folder': 'string', | |||
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336 | 'username': 'string', | |||
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337 | 'password': 'string', | |||
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338 | 'ftp_wei': 'string', | |||
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339 | 'exp_code': 'int', | |||
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340 | 'sub_exp_code': 'int', | |||
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341 | 'plot_pos': 'int', | |||
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342 | 'realtime': 'string', | |||
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343 | 'xaxis': 'string', | |||
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344 | } | |||
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345 | ||||
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346 | ||||
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347 | Noise | |||
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348 | parameters = { | |||
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349 | 'id': 'string', | |||
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350 | 'wintitle': 'string', | |||
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351 | 'channelList': 'string', | |||
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352 | 'showprofile': 'string', | |||
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353 | 'xmin': 'float', | |||
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354 | 'xmax': 'float', | |||
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355 | 'ymin': 'float', | |||
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356 | 'ymax': 'float', | |||
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357 | 'timerange': 'string', | |||
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358 | 'save': 'boolean', | |||
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359 | 'figpath': 'string', | |||
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360 | 'figfile': 'string', | |||
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361 | 'show': 'string', | |||
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362 | 'ftp': 'string', | |||
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363 | 'wr_period': 'int', | |||
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364 | 'server': 'string', | |||
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365 | 'folder': 'string', | |||
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366 | 'username': 'string', | |||
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367 | 'password': 'string', | |||
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368 | 'ftp_wei': 'string', | |||
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369 | 'exp_code': 'int', | |||
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370 | 'sub_exp_code': 'int', | |||
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371 | 'plot_pos': 'int', | |||
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372 | } | |||
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373 | ||||
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374 | ||||
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375 | NonSpecularMeteorDetection | |||
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376 | parameters = { | |||
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377 | 'mode': 'string', | |||
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378 | 'SNRthresh': 'string', | |||
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379 | 'phaseDerThresh': 'string', | |||
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380 | 'cohThresh': 'string', | |||
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381 | 'allData': 'string', | |||
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382 | } | |||
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383 | ||||
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384 | ||||
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385 | Operation | |||
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386 | parameters = { | |||
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387 | 'dataIn': 'string', | |||
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388 | } | |||
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389 | ||||
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390 | ||||
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391 | ParamWriter | |||
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392 | parameters = { | |||
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393 | : 'string', | |||
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394 | } | |||
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395 | ||||
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396 | ||||
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397 | Parameters1Plot | |||
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398 | parameters = { | |||
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399 | 'id': 'string', | |||
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400 | 'wintitle': 'string', | |||
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401 | 'channelList': 'string', | |||
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402 | 'showprofile': 'string', | |||
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403 | 'xmin': 'float', | |||
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404 | 'xmax': 'float', | |||
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405 | 'ymin': 'float', | |||
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406 | 'ymax': 'float', | |||
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407 | 'zmin': 'float', | |||
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408 | 'zmax': 'float', | |||
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409 | 'timerange': 'string', | |||
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410 | 'parameterIndex': 'string', | |||
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411 | 'onlyPositive': 'string', | |||
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412 | 'SNRthresh': 'string', | |||
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413 | 'SNR': 'string', | |||
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414 | 'SNRmin': 'string', | |||
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415 | 'SNRmax': 'string', | |||
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416 | 'onlySNR': 'string', | |||
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417 | 'DOP': 'string', | |||
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418 | 'zlabel': 'string', | |||
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419 | 'parameterName': 'string', | |||
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420 | 'parameterObject': 'string', | |||
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421 | 'save': 'boolean', | |||
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422 | 'figpath': 'string', | |||
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423 | 'lastone': 'string', | |||
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424 | 'figfile': 'string', | |||
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425 | 'ftp': 'string', | |||
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426 | 'wr_period': 'int', | |||
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427 | 'show': 'string', | |||
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428 | 'server': 'string', | |||
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429 | 'folder': 'string', | |||
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430 | 'username': 'string', | |||
|
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431 | 'password': 'string', | |||
|
|
432 | 'ftp_wei': 'string', | |||
|
|
433 | 'exp_code': 'int', | |||
|
|
434 | 'sub_exp_code': 'int', | |||
|
|
435 | 'plot_pos': 'int', | |||
|
|
436 | } | |||
|
|
437 | ||||
|
|
438 | ||||
|
|
439 | ParametersPlot | |||
|
|
440 | parameters = { | |||
|
|
441 | 'id': 'string', | |||
|
|
442 | 'wintitle': 'string', | |||
|
|
443 | 'channelList': 'string', | |||
|
|
444 | 'paramIndex': 'string', | |||
|
|
445 | 'colormap': 'string', | |||
|
|
446 | 'xmin': 'float', | |||
|
|
447 | 'xmax': 'float', | |||
|
|
448 | 'ymin': 'float', | |||
|
|
449 | 'ymax': 'float', | |||
|
|
450 | 'zmin': 'float', | |||
|
|
451 | 'zmax': 'float', | |||
|
|
452 | 'timerange': 'string', | |||
|
|
453 | 'showSNR': 'string', | |||
|
|
454 | 'SNRthresh': 'string', | |||
|
|
455 | 'SNRmin': 'string', | |||
|
|
456 | 'SNRmax': 'string', | |||
|
|
457 | 'save': 'boolean', | |||
|
|
458 | 'figpath': 'string', | |||
|
|
459 | 'lastone': 'string', | |||
|
|
460 | 'figfile': 'string', | |||
|
|
461 | 'ftp': 'string', | |||
|
|
462 | 'wr_period': 'int', | |||
|
|
463 | 'show': 'string', | |||
|
|
464 | 'server': 'string', | |||
|
|
465 | 'folder': 'string', | |||
|
|
466 | 'username': 'string', | |||
|
|
467 | 'password': 'string', | |||
|
|
468 | 'ftp_wei': 'string', | |||
|
|
469 | 'exp_code': 'int', | |||
|
|
470 | 'sub_exp_code': 'int', | |||
|
|
471 | 'plot_pos': 'int', | |||
|
|
472 | } | |||
|
|
473 | ||||
|
|
474 | ||||
|
|
475 | PhasePlot | |||
|
|
476 | parameters = { | |||
|
|
477 | 'id': 'string', | |||
|
|
478 | 'wintitle': 'string', | |||
|
|
479 | 'pairsList': 'pairsLists', | |||
|
|
480 | 'showprofile': 'string', | |||
|
|
481 | 'xmin': 'float', | |||
|
|
482 | 'xmax': 'float', | |||
|
|
483 | 'ymin': 'float', | |||
|
|
484 | 'ymax': 'float', | |||
|
|
485 | 'timerange': 'string', | |||
|
|
486 | 'save': 'boolean', | |||
|
|
487 | 'figpath': 'string', | |||
|
|
488 | 'figfile': 'string', | |||
|
|
489 | 'show': 'string', | |||
|
|
490 | 'ftp': 'string', | |||
|
|
491 | 'wr_period': 'int', | |||
|
|
492 | 'server': 'string', | |||
|
|
493 | 'folder': 'string', | |||
|
|
494 | 'username': 'string', | |||
|
|
495 | 'password': 'string', | |||
|
|
496 | 'ftp_wei': 'string', | |||
|
|
497 | 'exp_code': 'int', | |||
|
|
498 | 'sub_exp_code': 'int', | |||
|
|
499 | 'plot_pos': 'int', | |||
|
|
500 | } | |||
|
|
501 | ||||
|
|
502 | ||||
|
|
503 | PlotCOHData | |||
|
|
504 | parameters = { | |||
|
|
505 | : 'string', | |||
|
|
506 | } | |||
|
|
507 | ||||
|
|
508 | ||||
|
|
509 | PlotCrossSpectraData | |||
|
|
510 | parameters = { | |||
|
|
511 | : 'string', | |||
|
|
512 | } | |||
|
|
513 | ||||
|
|
514 | ||||
|
|
515 | PlotDOPData | |||
|
|
516 | parameters = { | |||
|
|
517 | : 'string', | |||
|
|
518 | } | |||
|
|
519 | ||||
|
|
520 | ||||
|
|
521 | PlotData | |||
|
|
522 | parameters = { | |||
|
|
523 | : 'string', | |||
|
|
524 | } | |||
|
|
525 | ||||
|
|
526 | ||||
|
|
527 | PlotNoiseData | |||
|
|
528 | parameters = { | |||
|
|
529 | : 'string', | |||
|
|
530 | } | |||
|
|
531 | ||||
|
|
532 | ||||
|
|
533 | PlotPHASEData | |||
|
|
534 | parameters = { | |||
|
|
535 | : 'string', | |||
|
|
536 | } | |||
|
|
537 | ||||
|
|
538 | ||||
|
|
539 | PlotRTIData | |||
|
|
540 | parameters = { | |||
|
|
541 | : 'string', | |||
|
|
542 | } | |||
|
|
543 | ||||
|
|
544 | ||||
|
|
545 | PlotSNRData | |||
|
|
546 | parameters = { | |||
|
|
547 | : 'string', | |||
|
|
548 | } | |||
|
|
549 | ||||
|
|
550 | ||||
|
|
551 | PlotSpectraData | |||
|
|
552 | parameters = { | |||
|
|
553 | : 'string', | |||
|
|
554 | } | |||
|
|
555 | ||||
|
|
556 | ||||
|
|
557 | PlotSpectraMeanData | |||
|
|
558 | parameters = { | |||
|
|
559 | : 'string', | |||
|
|
560 | } | |||
|
|
561 | ||||
|
|
562 | ||||
|
|
563 | PlotWindProfilerData | |||
|
|
564 | parameters = { | |||
|
|
565 | : 'string', | |||
|
|
566 | } | |||
|
|
567 | ||||
|
|
568 | ||||
|
|
569 | PowerProfilePlot | |||
|
|
570 | parameters = { | |||
|
|
571 | 'id': 'string', | |||
|
|
572 | 'wintitle': 'string', | |||
|
|
573 | 'channelList': 'string', | |||
|
|
574 | 'xmin': 'float', | |||
|
|
575 | 'xmax': 'float', | |||
|
|
576 | 'ymin': 'float', | |||
|
|
577 | 'ymax': 'float', | |||
|
|
578 | 'save': 'boolean', | |||
|
|
579 | 'figpath': 'string', | |||
|
|
580 | 'figfile': 'string', | |||
|
|
581 | 'show': 'string', | |||
|
|
582 | 'ftp': 'string', | |||
|
|
583 | 'wr_period': 'int', | |||
|
|
584 | 'server': 'string', | |||
|
|
585 | 'folder': 'string', | |||
|
|
586 | 'username': 'string', | |||
|
|
587 | 'password': 'string', | |||
|
|
588 | } | |||
|
|
589 | ||||
|
|
590 | ||||
|
|
591 | PrintInfo | |||
|
|
592 | parameters = { | |||
|
|
593 | : 'string', | |||
|
|
594 | } | |||
|
|
595 | ||||
|
|
596 | ||||
|
|
597 | ProfileConcat | |||
|
|
598 | parameters = { | |||
|
|
599 | 'm': 'string', | |||
|
|
600 | } | |||
|
|
601 | ||||
|
|
602 | ||||
|
|
603 | ProfileSelector | |||
|
|
604 | parameters = { | |||
|
|
605 | 'profileList': 'string', | |||
|
|
606 | 'profileRangeList': 'string', | |||
|
|
607 | 'beam': 'string', | |||
|
|
608 | 'byblock': 'string', | |||
|
|
609 | 'rangeList': 'string', | |||
|
|
610 | 'nProfiles': 'string', | |||
|
|
611 | } | |||
|
|
612 | ||||
|
|
613 | ||||
|
|
614 | ProfileToChannels | |||
|
|
615 | parameters = { | |||
|
|
616 | : 'string', | |||
|
|
617 | } | |||
|
|
618 | ||||
|
|
619 | ||||
|
|
620 | PublishData | |||
|
|
621 | parameters = { | |||
|
|
622 | : 'string', | |||
|
|
623 | } | |||
|
|
624 | ||||
|
|
625 | ||||
|
|
626 | RTIPlot | |||
|
|
627 | parameters = { | |||
|
|
628 | 'id': 'string', | |||
|
|
629 | 'wintitle': 'string', | |||
|
|
630 | 'channelList': 'string', | |||
|
|
631 | 'showprofile': 'string', | |||
|
|
632 | 'xmin': 'float', | |||
|
|
633 | 'xmax': 'float', | |||
|
|
634 | 'ymin': 'float', | |||
|
|
635 | 'ymax': 'float', | |||
|
|
636 | 'zmin': 'float', | |||
|
|
637 | 'zmax': 'float', | |||
|
|
638 | 'timerange': 'string', | |||
|
|
639 | 'save': 'boolean', | |||
|
|
640 | 'figpath': 'string', | |||
|
|
641 | 'lastone': 'string', | |||
|
|
642 | 'figfile': 'string', | |||
|
|
643 | 'ftp': 'string', | |||
|
|
644 | 'wr_period': 'int', | |||
|
|
645 | 'show': 'string', | |||
|
|
646 | 'server': 'string', | |||
|
|
647 | 'folder': 'string', | |||
|
|
648 | 'username': 'string', | |||
|
|
649 | 'password': 'string', | |||
|
|
650 | 'ftp_wei': 'string', | |||
|
|
651 | 'exp_code': 'int', | |||
|
|
652 | 'sub_exp_code': 'int', | |||
|
|
653 | 'plot_pos': 'int', | |||
|
|
654 | } | |||
|
|
655 | ||||
|
|
656 | ||||
|
|
657 | RTIfromSpectraHeis | |||
|
|
658 | parameters = { | |||
|
|
659 | 'id': 'string', | |||
|
|
660 | 'wintitle': 'string', | |||
|
|
661 | 'channelList': 'string', | |||
|
|
662 | 'showprofile': 'string', | |||
|
|
663 | 'xmin': 'float', | |||
|
|
664 | 'xmax': 'float', | |||
|
|
665 | 'ymin': 'float', | |||
|
|
666 | 'ymax': 'float', | |||
|
|
667 | 'timerange': 'string', | |||
|
|
668 | 'save': 'boolean', | |||
|
|
669 | 'figpath': 'string', | |||
|
|
670 | 'figfile': 'string', | |||
|
|
671 | 'ftp': 'string', | |||
|
|
672 | 'wr_period': 'int', | |||
|
|
673 | 'show': 'string', | |||
|
|
674 | 'server': 'string', | |||
|
|
675 | 'folder': 'string', | |||
|
|
676 | 'username': 'string', | |||
|
|
677 | 'password': 'string', | |||
|
|
678 | 'ftp_wei': 'string', | |||
|
|
679 | 'exp_code': 'int', | |||
|
|
680 | 'sub_exp_code': 'int', | |||
|
|
681 | 'plot_pos': 'int', | |||
|
|
682 | } | |||
|
|
683 | ||||
|
|
684 | ||||
|
|
685 | Reshaper | |||
|
|
686 | parameters = { | |||
|
|
687 | 'shape': 'string', | |||
|
|
688 | 'nTxs': 'string', | |||
|
|
689 | } | |||
|
|
690 | ||||
|
|
691 | ||||
|
|
692 | SALags | |||
|
|
693 | parameters = { | |||
|
|
694 | : 'string', | |||
|
|
695 | } | |||
|
|
696 | ||||
|
|
697 | ||||
|
|
698 | SMDetection | |||
|
|
699 | parameters = { | |||
|
|
700 | 'hei_ref': 'string', | |||
|
|
701 | 'tauindex': 'string', | |||
|
|
702 | 'phaseOffsets': 'string', | |||
|
|
703 | 'cohDetection': 'string', | |||
|
|
704 | 'cohDet_timeStep': 'string', | |||
|
|
705 | 'cohDet_thresh': 'string', | |||
|
|
706 | 'noise_timeStep': 'string', | |||
|
|
707 | 'noise_multiple': 'string', | |||
|
|
708 | 'multDet_timeLimit': 'string', | |||
|
|
709 | 'multDet_rangeLimit': 'string', | |||
|
|
710 | 'phaseThresh': 'string', | |||
|
|
711 | 'SNRThresh': 'string', | |||
|
|
712 | 'hmin': 'string', | |||
|
|
713 | 'hmax': 'string', | |||
|
|
714 | 'azimuth': 'string', | |||
|
|
715 | 'channelPositions': 'string', | |||
|
|
716 | } | |||
|
|
717 | ||||
|
|
718 | ||||
|
|
719 | SMPhaseCalibration | |||
|
|
720 | parameters = { | |||
|
|
721 | 'hmin': 'string', | |||
|
|
722 | 'hmax': 'string', | |||
|
|
723 | 'channelPositions': 'string', | |||
|
|
724 | 'nHours': 'string', | |||
|
|
725 | } | |||
|
|
726 | ||||
|
|
727 | ||||
|
|
728 | Scope | |||
|
|
729 | parameters = { | |||
|
|
730 | 'id': 'string', | |||
|
|
731 | 'wintitle': 'string', | |||
|
|
732 | 'channelList': 'string', | |||
|
|
733 | 'xmin': 'float', | |||
|
|
734 | 'xmax': 'float', | |||
|
|
735 | 'ymin': 'float', | |||
|
|
736 | 'ymax': 'float', | |||
|
|
737 | 'save': 'boolean', | |||
|
|
738 | 'figpath': 'string', | |||
|
|
739 | 'figfile': 'string', | |||
|
|
740 | 'show': 'string', | |||
|
|
741 | 'wr_period': 'int', | |||
|
|
742 | 'ftp': 'string', | |||
|
|
743 | 'server': 'string', | |||
|
|
744 | 'folder': 'string', | |||
|
|
745 | 'username': 'string', | |||
|
|
746 | 'password': 'string', | |||
|
|
747 | 'type': 'string', | |||
|
|
748 | } | |||
|
|
749 | ||||
|
|
750 | ||||
|
|
751 | SendByFTP | |||
|
|
752 | parameters = { | |||
|
|
753 | 'ext': 'string', | |||
|
|
754 | 'localfolder': 'string', | |||
|
|
755 | 'remotefolder': 'string', | |||
|
|
756 | 'server': 'string', | |||
|
|
757 | 'username': 'string', | |||
|
|
758 | 'password': 'string', | |||
|
|
759 | 'period': 'string', | |||
|
|
760 | } | |||
|
|
761 | ||||
|
|
762 | ||||
|
|
763 | SkyMapPlot | |||
|
|
764 | parameters = { | |||
|
|
765 | 'id': 'string', | |||
|
|
766 | 'wintitle': 'string', | |||
|
|
767 | 'channelList': 'string', | |||
|
|
768 | 'showprofile': 'string', | |||
|
|
769 | 'tmin': 'string', | |||
|
|
770 | 'tmax': 'string', | |||
|
|
771 | 'timerange': 'string', | |||
|
|
772 | 'save': 'boolean', | |||
|
|
773 | 'figpath': 'string', | |||
|
|
774 | 'figfile': 'string', | |||
|
|
775 | 'show': 'string', | |||
|
|
776 | 'ftp': 'string', | |||
|
|
777 | 'wr_period': 'int', | |||
|
|
778 | 'server': 'string', | |||
|
|
779 | 'folder': 'string', | |||
|
|
780 | 'username': 'string', | |||
|
|
781 | 'password': 'string', | |||
|
|
782 | 'ftp_wei': 'string', | |||
|
|
783 | 'exp_code': 'int', | |||
|
|
784 | 'sub_exp_code': 'int', | |||
|
|
785 | 'plot_pos': 'int', | |||
|
|
786 | 'realtime': 'string', | |||
|
|
787 | } | |||
|
|
788 | ||||
|
|
789 | ||||
|
|
790 | SpectraCutPlot | |||
|
|
791 | parameters = { | |||
|
|
792 | 'id': 'string', | |||
|
|
793 | 'wintitle': 'string', | |||
|
|
794 | 'channelList': 'string', | |||
|
|
795 | 'xmin': 'float', | |||
|
|
796 | 'xmax': 'float', | |||
|
|
797 | 'ymin': 'float', | |||
|
|
798 | 'ymax': 'float', | |||
|
|
799 | 'save': 'boolean', | |||
|
|
800 | 'figpath': 'string', | |||
|
|
801 | 'figfile': 'string', | |||
|
|
802 | 'show': 'string', | |||
|
|
803 | 'ftp': 'string', | |||
|
|
804 | 'wr_period': 'int', | |||
|
|
805 | 'server': 'string', | |||
|
|
806 | 'folder': 'string', | |||
|
|
807 | 'username': 'string', | |||
|
|
808 | 'password': 'string', | |||
|
|
809 | 'xaxis': 'string', | |||
|
|
810 | } | |||
|
|
811 | ||||
|
|
812 | ||||
|
|
813 | SpectraHeisScope | |||
|
|
814 | parameters = { | |||
|
|
815 | 'id': 'string', | |||
|
|
816 | 'wintitle': 'string', | |||
|
|
817 | 'channelList': 'string', | |||
|
|
818 | 'xmin': 'float', | |||
|
|
819 | 'xmax': 'float', | |||
|
|
820 | 'ymin': 'float', | |||
|
|
821 | 'ymax': 'float', | |||
|
|
822 | 'save': 'boolean', | |||
|
|
823 | 'figpath': 'string', | |||
|
|
824 | 'figfile': 'string', | |||
|
|
825 | 'ftp': 'string', | |||
|
|
826 | 'wr_period': 'int', | |||
|
|
827 | 'show': 'string', | |||
|
|
828 | 'server': 'string', | |||
|
|
829 | 'folder': 'string', | |||
|
|
830 | 'username': 'string', | |||
|
|
831 | 'password': 'string', | |||
|
|
832 | 'ftp_wei': 'string', | |||
|
|
833 | 'exp_code': 'int', | |||
|
|
834 | 'sub_exp_code': 'int', | |||
|
|
835 | 'plot_pos': 'int', | |||
|
|
836 | } | |||
|
|
837 | ||||
|
|
838 | ||||
|
|
839 | SpectraHeisWriter | |||
|
|
840 | parameters = { | |||
|
|
841 | : 'string', | |||
|
|
842 | } | |||
|
|
843 | ||||
|
|
844 | ||||
|
|
845 | SpectraPlot | |||
|
|
846 | parameters = { | |||
|
|
847 | 'id': 'string', | |||
|
|
848 | 'wintitle': 'string', | |||
|
|
849 | 'channelList': 'string', | |||
|
|
850 | 'showprofile': 'string', | |||
|
|
851 | 'xmin': 'float', | |||
|
|
852 | 'xmax': 'float', | |||
|
|
853 | 'ymin': 'float', | |||
|
|
854 | 'ymax': 'float', | |||
|
|
855 | 'zmin': 'float', | |||
|
|
856 | 'zmax': 'float', | |||
|
|
857 | 'save': 'boolean', | |||
|
|
858 | 'figpath': 'string', | |||
|
|
859 | 'figfile': 'string', | |||
|
|
860 | 'show': 'string', | |||
|
|
861 | 'ftp': 'string', | |||
|
|
862 | 'wr_period': 'int', | |||
|
|
863 | 'server': 'string', | |||
|
|
864 | 'folder': 'string', | |||
|
|
865 | 'username': 'string', | |||
|
|
866 | 'password': 'string', | |||
|
|
867 | 'ftp_wei': 'string', | |||
|
|
868 | 'exp_code': 'int', | |||
|
|
869 | 'sub_exp_code': 'int', | |||
|
|
870 | 'plot_pos': 'int', | |||
|
|
871 | 'realtime': 'string', | |||
|
|
872 | 'xaxis': 'string', | |||
|
|
873 | } | |||
|
|
874 | ||||
|
|
875 | ||||
|
|
876 | SpectraWriter | |||
|
|
877 | parameters = { | |||
|
|
878 | 'path': 'string', | |||
|
|
879 | 'blocksPerFile': 'string', | |||
|
|
880 | 'profilesPerBlock': 'string', | |||
|
|
881 | 'set': 'string', | |||
|
|
882 | 'ext': 'string', | |||
|
|
883 | 'datatype': 'string', | |||
|
|
884 | } | |||
|
|
885 | ||||
|
|
886 | ||||
|
|
887 | SpectralFitting | |||
|
|
888 | parameters = { | |||
|
|
889 | 'getSNR': 'string', | |||
|
|
890 | 'path': 'string', | |||
|
|
891 | 'file': 'string', | |||
|
|
892 | 'groupList': 'string', | |||
|
|
893 | } | |||
|
|
894 | ||||
|
|
895 | ||||
|
|
896 | SpectralFittingPlot | |||
|
|
897 | parameters = { | |||
|
|
898 | 'id': 'string', | |||
|
|
899 | 'cutHeight': 'string', | |||
|
|
900 | 'fit': 'string', | |||
|
|
901 | 'wintitle': 'string', | |||
|
|
902 | 'channelList': 'string', | |||
|
|
903 | 'showprofile': 'string', | |||
|
|
904 | 'xmin': 'float', | |||
|
|
905 | 'xmax': 'float', | |||
|
|
906 | 'ymin': 'float', | |||
|
|
907 | 'ymax': 'float', | |||
|
|
908 | 'save': 'boolean', | |||
|
|
909 | 'figpath': 'string', | |||
|
|
910 | 'figfile': 'string', | |||
|
|
911 | 'show': 'string', | |||
|
|
912 | } | |||
|
|
913 | ||||
|
|
914 | ||||
|
|
915 | SpectralMoments | |||
|
|
916 | parameters = { | |||
|
|
917 | : 'string', | |||
|
|
918 | } | |||
|
|
919 | ||||
|
|
920 | ||||
|
|
921 | SplitProfiles | |||
|
|
922 | parameters = { | |||
|
|
923 | 'n': 'string', | |||
|
|
924 | } | |||
|
|
925 | ||||
|
|
926 | ||||
|
|
927 | USRPWriter | |||
|
|
928 | parameters = { | |||
|
|
929 | 'dataIn': 'string', | |||
|
|
930 | } | |||
|
|
931 | ||||
|
|
932 | ||||
|
|
933 | VoltageWriter | |||
|
|
934 | parameters = { | |||
|
|
935 | 'path': 'string', | |||
|
|
936 | 'blocksPerFile': 'string', | |||
|
|
937 | 'profilesPerBlock': 'string', | |||
|
|
938 | 'set': 'string', | |||
|
|
939 | 'ext': 'string', | |||
|
|
940 | 'datatype': 'string', | |||
|
|
941 | } | |||
|
|
942 | ||||
|
|
943 | ||||
|
|
944 | WindProfiler | |||
|
|
945 | parameters = { | |||
|
|
946 | 'technique': 'string', | |||
|
|
947 | } | |||
|
|
948 | ||||
|
|
949 | ||||
|
|
950 | WindProfilerPlot | |||
|
|
951 | parameters = { | |||
|
|
952 | 'id': 'string', | |||
|
|
953 | 'wintitle': 'string', | |||
|
|
954 | 'channelList': 'string', | |||
|
|
955 | 'showprofile': 'string', | |||
|
|
956 | 'xmin': 'float', | |||
|
|
957 | 'xmax': 'float', | |||
|
|
958 | 'ymin': 'float', | |||
|
|
959 | 'ymax': 'float', | |||
|
|
960 | 'zmin': 'float', | |||
|
|
961 | 'zmax': 'float', | |||
|
|
962 | 'zmax_ver': 'string', | |||
|
|
963 | 'zmin_ver': 'string', | |||
|
|
964 | 'SNRmin': 'string', | |||
|
|
965 | 'SNRmax': 'string', | |||
|
|
966 | 'timerange': 'string', | |||
|
|
967 | 'SNRthresh': 'string', | |||
|
|
968 | 'save': 'boolean', | |||
|
|
969 | 'figpath': 'string', | |||
|
|
970 | 'lastone': 'string', | |||
|
|
971 | 'figfile': 'string', | |||
|
|
972 | 'ftp': 'string', | |||
|
|
973 | 'wr_period': 'int', | |||
|
|
974 | 'show': 'string', | |||
|
|
975 | 'server': 'string', | |||
|
|
976 | 'folder': 'string', | |||
|
|
977 | 'username': 'string', | |||
|
|
978 | 'password': 'string', | |||
|
|
979 | 'ftp_wei': 'string', | |||
|
|
980 | 'exp_code': 'int', | |||
|
|
981 | 'sub_exp_code': 'int', | |||
|
|
982 | 'plot_pos': 'int', | |||
|
|
983 | } | |||
|
|
984 | ||||
|
|
985 | ||||
|
|
986 | Writer | |||
|
|
987 | parameters = { | |||
|
|
988 | 'dataIn': 'string', | |||
|
|
989 | } | |||
|
|
990 | ||||
|
|
991 | ||||
|
|
992 | AMISRProc | |||
|
|
993 | parameters = { | |||
|
|
994 | : 'string', | |||
|
|
995 | } | |||
|
|
996 | ||||
|
|
997 | ||||
|
|
998 | AMISRReader | |||
|
|
999 | parameters = { | |||
|
|
1000 | : 'string', | |||
|
|
1001 | } | |||
|
|
1002 | ||||
|
|
1003 | ||||
|
|
1004 | CorrelationProc | |||
|
|
1005 | parameters = { | |||
|
|
1006 | 'lags': 'string', | |||
|
|
1007 | 'mode': 'string', | |||
|
|
1008 | 'pairsList': 'pairsLists', | |||
|
|
1009 | 'fullBuffer': 'string', | |||
|
|
1010 | 'nAvg': 'string', | |||
|
|
1011 | 'removeDC': 'string', | |||
|
|
1012 | 'splitCF': 'string', | |||
|
|
1013 | } | |||
|
|
1014 | ||||
|
|
1015 | ||||
|
|
1016 | FitsReader | |||
|
|
1017 | parameters = { | |||
|
|
1018 | : 'string', | |||
|
|
1019 | } | |||
|
|
1020 | ||||
|
|
1021 | ||||
|
|
1022 | HFReader | |||
|
|
1023 | parameters = { | |||
|
|
1024 | : 'string', | |||
|
|
1025 | } | |||
|
|
1026 | ||||
|
|
1027 | ||||
|
|
1028 | ParamReader | |||
|
|
1029 | parameters = { | |||
|
|
1030 | : 'string', | |||
|
|
1031 | } | |||
|
|
1032 | ||||
|
|
1033 | ||||
|
|
1034 | ParametersProc | |||
|
|
1035 | parameters = { | |||
|
|
1036 | : 'string', | |||
|
|
1037 | } | |||
|
|
1038 | ||||
|
|
1039 | ||||
|
|
1040 | ProcessingUnit | |||
|
|
1041 | parameters = { | |||
|
|
1042 | : 'string', | |||
|
|
1043 | } | |||
|
|
1044 | ||||
|
|
1045 | ||||
|
|
1046 | ReceiverData | |||
|
|
1047 | parameters = { | |||
|
|
1048 | : 'string', | |||
|
|
1049 | } | |||
|
|
1050 | ||||
|
|
1051 | ||||
|
|
1052 | SendToServer | |||
|
|
1053 | parameters = { | |||
|
|
1054 | : 'string', | |||
|
|
1055 | } | |||
|
|
1056 | ||||
|
|
1057 | ||||
|
|
1058 | SpectraAFCProc | |||
|
|
1059 | parameters = { | |||
|
|
1060 | 'nProfiles': 'string', | |||
|
|
1061 | 'nFFTPoints': 'string', | |||
|
|
1062 | 'pairsList': 'pairsLists', | |||
|
|
1063 | 'code': 'string', | |||
|
|
1064 | 'nCode': 'string', | |||
|
|
1065 | 'nBaud': 'string', | |||
|
|
1066 | } | |||
|
|
1067 | ||||
|
|
1068 | ||||
|
|
1069 | SpectraHeisProc | |||
|
|
1070 | parameters = { | |||
|
|
1071 | : 'string', | |||
|
|
1072 | } | |||
|
|
1073 | ||||
|
|
1074 | ||||
|
|
1075 | SpectraLagsProc | |||
|
|
1076 | parameters = { | |||
|
|
1077 | 'nProfiles': 'string', | |||
|
|
1078 | 'nFFTPoints': 'string', | |||
|
|
1079 | 'pairsList': 'pairsLists', | |||
|
|
1080 | 'code': 'string', | |||
|
|
1081 | 'nCode': 'string', | |||
|
|
1082 | 'nBaud': 'string', | |||
|
|
1083 | 'codeFromHeader': 'string', | |||
|
|
1084 | 'pulseIndex': 'string', | |||
|
|
1085 | } | |||
|
|
1086 | ||||
|
|
1087 | ||||
|
|
1088 | SpectraProc | |||
|
|
1089 | parameters = { | |||
|
|
1090 | 'nProfiles': 'string', | |||
|
|
1091 | 'nFFTPoints': 'string', | |||
|
|
1092 | 'pairsList': 'pairsLists', | |||
|
|
1093 | 'ippFactor': 'string', | |||
|
|
1094 | } | |||
|
|
1095 | ||||
|
|
1096 | ||||
|
|
1097 | SpectraReader | |||
|
|
1098 | parameters = { | |||
|
|
1099 | 'path': 'string', | |||
|
|
1100 | 'startDate': 'string', | |||
|
|
1101 | 'endDate': 'string', | |||
|
|
1102 | 'startTime': 'string', | |||
|
|
1103 | 'endTime': 'string', | |||
|
|
1104 | 'set': 'string', | |||
|
|
1105 | 'expLabel': 'string', | |||
|
|
1106 | 'ext': 'string', | |||
|
|
1107 | 'online': 'string', | |||
|
|
1108 | 'delay': 'string', | |||
|
|
1109 | 'walk': 'string', | |||
|
|
1110 | 'getblock': 'string', | |||
|
|
1111 | 'nTxs': 'string', | |||
|
|
1112 | 'realtime': 'string', | |||
|
|
1113 | 'blocksize': 'string', | |||
|
|
1114 | 'blocktime': 'string', | |||
|
|
1115 | 'queue': 'string', | |||
|
|
1116 | 'skip': 'string', | |||
|
|
1117 | 'cursor': 'string', | |||
|
|
1118 | 'warnings': 'string', | |||
|
|
1119 | 'verbose': 'string', | |||
|
|
1120 | } | |||
|
|
1121 | ||||
|
|
1122 | ||||
|
|
1123 | USRPReader | |||
|
|
1124 | parameters = { | |||
|
|
1125 | : 'string', | |||
|
|
1126 | } | |||
|
|
1127 | ||||
|
|
1128 | ||||
|
|
1129 | VoltageProc | |||
|
|
1130 | parameters = { | |||
|
|
1131 | : 'string', | |||
|
|
1132 | } | |||
|
|
1133 | ||||
|
|
1134 | ||||
|
|
1135 | VoltageReader | |||
|
|
1136 | parameters = { | |||
|
|
1137 | 'path': 'string', | |||
|
|
1138 | 'startDate': 'string', | |||
|
|
1139 | 'endDate': 'string', | |||
|
|
1140 | 'startTime': 'string', | |||
|
|
1141 | 'endTime': 'string', | |||
|
|
1142 | 'set': 'string', | |||
|
|
1143 | 'expLabel': 'string', | |||
|
|
1144 | 'ext': 'string', | |||
|
|
1145 | 'online': 'string', | |||
|
|
1146 | 'delay': 'string', | |||
|
|
1147 | 'walk': 'string', | |||
|
|
1148 | 'getblock': 'string', | |||
|
|
1149 | 'nTxs': 'string', | |||
|
|
1150 | 'realtime': 'string', | |||
|
|
1151 | 'blocksize': 'string', | |||
|
|
1152 | 'blocktime': 'string', | |||
|
|
1153 | 'queue': 'string', | |||
|
|
1154 | 'skip': 'string', | |||
|
|
1155 | 'cursor': 'string', | |||
|
|
1156 | 'warnings': 'string', | |||
|
|
1157 | 'verbose': 'string', | |||
|
|
1158 | } | |||
|
|
1159 | ||||
|
|
1160 | ||||
| @@ -0,0 +1,81 | |||||
|
|
1 | import schainpy | |||
|
|
2 | from schainpy.model import Operation, ProcessingUnit | |||
|
|
3 | from importlib import import_module | |||
|
|
4 | from pydoc import locate | |||
|
|
5 | ||||
|
|
6 | def clean_modules(module): | |||
|
|
7 | noEndsUnder = [x for x in module if not x.endswith('__')] | |||
|
|
8 | noStartUnder = [x for x in noEndsUnder if not x.startswith('__')] | |||
|
|
9 | noFullUpper = [x for x in noStartUnder if not x.isupper()] | |||
|
|
10 | return noFullUpper | |||
|
|
11 | ||||
|
|
12 | def check_module(possible, instance): | |||
|
|
13 | def check(x): | |||
|
|
14 | try: | |||
|
|
15 | instancia = locate('schainpy.model.{}'.format(x)) | |||
|
|
16 | return isinstance(instancia(), instance) | |||
|
|
17 | except Exception as e: | |||
|
|
18 | return False | |||
|
|
19 | clean = clean_modules(possible) | |||
|
|
20 | return [x for x in clean if check(x)] | |||
|
|
21 | ||||
|
|
22 | ||||
|
|
23 | def getProcs(): | |||
|
|
24 | module = dir(import_module('schainpy.model')) | |||
|
|
25 | procs = check_module(module, ProcessingUnit) | |||
|
|
26 | try: | |||
|
|
27 | procs.remove('ProcessingUnit') | |||
|
|
28 | except Exception as e: | |||
|
|
29 | pass | |||
|
|
30 | return procs | |||
|
|
31 | ||||
|
|
32 | def getOperations(): | |||
|
|
33 | module = dir(import_module('schainpy.model')) | |||
|
|
34 | noProcs = [x for x in module if not x.endswith('Proc')] | |||
|
|
35 | operations = check_module(noProcs, Operation) | |||
|
|
36 | try: | |||
|
|
37 | operations.remove('Operation') | |||
|
|
38 | except Exception as e: | |||
|
|
39 | pass | |||
|
|
40 | return operations | |||
|
|
41 | ||||
|
|
42 | def getArgs(op): | |||
|
|
43 | module = locate('schainpy.model.{}'.format(op)) | |||
|
|
44 | args = module().getAllowedArgs() | |||
|
|
45 | try: | |||
|
|
46 | args.remove('self') | |||
|
|
47 | except Exception as e: | |||
|
|
48 | pass | |||
|
|
49 | try: | |||
|
|
50 | args.remove('dataOut') | |||
|
|
51 | except Exception as e: | |||
|
|
52 | pass | |||
|
|
53 | return args | |||
|
|
54 | ||||
|
|
55 | def getAll(): | |||
|
|
56 | allModules = dir(import_module('schainpy.model')) | |||
|
|
57 | modules = check_module(allModules, Operation) | |||
|
|
58 | modules.extend(check_module(allModules, ProcessingUnit)) | |||
|
|
59 | return modules | |||
|
|
60 | ||||
|
|
61 | def formatArgs(op): | |||
|
|
62 | args = getArgs(op) | |||
|
|
63 | ||||
|
|
64 | argsAsKey = ["\t'{}'".format(x) for x in args] | |||
|
|
65 | argsFormatted = ": 'string',\n".join(argsAsKey) | |||
|
|
66 | ||||
|
|
67 | print op | |||
|
|
68 | print "parameters = { \n" + argsFormatted + ": 'string',\n }" | |||
|
|
69 | print '\n' | |||
|
|
70 | ||||
|
|
71 | ||||
|
|
72 | if __name__ == "__main__": | |||
|
|
73 | getAll() | |||
|
|
74 | [formatArgs(x) for x in getAll()] | |||
|
|
75 | ||||
|
|
76 | ''' | |||
|
|
77 | parameters = { | |||
|
|
78 | 'id': , | |||
|
|
79 | 'wintitle': , | |||
|
|
80 | } | |||
|
|
81 | ''' No newline at end of file | |||
| @@ -0,0 +1,1 | |||||
|
|
1 | You should install "digital_rf_hdf5" module if you want to read USRP data | |||
| @@ -1,188 +1,167 | |||||
| 1 | import click |
|
1 | import click | |
| 2 | import schainpy |
|
2 | import schainpy | |
| 3 | import subprocess |
|
3 | import subprocess | |
| 4 | import os |
|
4 | import os | |
| 5 | import sys |
|
5 | import sys | |
| 6 | import glob |
|
6 | import glob | |
| 7 | save_stdout = sys.stdout |
|
7 | save_stdout = sys.stdout | |
| 8 | sys.stdout = open('trash', 'w') |
|
8 | sys.stdout = open('trash', 'w') | |
| 9 | from multiprocessing import cpu_count |
|
9 | from multiprocessing import cpu_count | |
| 10 | from schaincli import templates |
|
10 | from schaincli import templates | |
| 11 | from schainpy import controller_api |
|
11 | from schainpy import controller_api | |
| 12 | from schainpy.model import Operation, ProcessingUnit |
|
12 | from schainpy.model import Operation, ProcessingUnit | |
| 13 | from schainpy.utils import log |
|
13 | from schainpy.utils import log | |
| 14 | from importlib import import_module |
|
14 | from importlib import import_module | |
| 15 | from pydoc import locate |
|
15 | from pydoc import locate | |
| 16 | from fuzzywuzzy import process |
|
16 | from fuzzywuzzy import process | |
|
|
17 | from schainpy.utils import paramsFinder | |||
| 17 | sys.stdout = save_stdout |
|
18 | sys.stdout = save_stdout | |
| 18 |
|
19 | |||
| 19 |
|
20 | |||
| 20 | def print_version(ctx, param, value): |
|
21 | def print_version(ctx, param, value): | |
| 21 | if not value or ctx.resilient_parsing: |
|
22 | if not value or ctx.resilient_parsing: | |
| 22 | return |
|
23 | return | |
| 23 | click.echo(schainpy.__version__) |
|
24 | click.echo(schainpy.__version__) | |
| 24 | ctx.exit() |
|
25 | ctx.exit() | |
| 25 |
|
26 | |||
| 26 |
|
27 | |||
| 27 | cliLogger = log.makelogger('schain cli') |
|
28 | cliLogger = log.makelogger('schain cli') | |
| 28 | PREFIX = 'experiment' |
|
29 | PREFIX = 'experiment' | |
| 29 |
|
30 | |||
| 30 |
|
31 | |||
| 31 | @click.command() |
|
32 | @click.command() | |
| 32 | @click.option('--version', '-v', is_flag=True, callback=print_version, help='SChain version', type=str) |
|
33 | @click.option('--version', '-v', is_flag=True, callback=print_version, help='SChain version', type=str) | |
| 33 | @click.option('--xml', '-x', default=None, help='run an XML file', type=click.Path(exists=True, resolve_path=True)) |
|
34 | @click.option('--xml', '-x', default=None, help='run an XML file', type=click.Path(exists=True, resolve_path=True)) | |
| 34 | @click.argument('command', default='run', required=True) |
|
35 | @click.argument('command', default='run', required=True) | |
| 35 | @click.argument('nextcommand', default=None, required=False, type=str) |
|
36 | @click.argument('nextcommand', default=None, required=False, type=str) | |
| 36 | def main(command, nextcommand, version, xml): |
|
37 | def main(command, nextcommand, version, xml): | |
| 37 | """COMMAND LINE INTERFACE FOR SIGNAL CHAIN - JICAMARCA RADIO OBSERVATORY \n |
|
38 | """COMMAND LINE INTERFACE FOR SIGNAL CHAIN - JICAMARCA RADIO OBSERVATORY \n | |
| 38 | Available commands.\n |
|
39 | Available commands.\n | |
| 39 | --xml: runs a schain XML generated file\n |
|
40 | --xml: runs a schain XML generated file\n | |
| 40 | run: runs any python script starting 'experiment_'\n |
|
41 | run: runs any python script starting 'experiment_'\n | |
| 41 | generate: generates a template schain script\n |
|
42 | generate: generates a template schain script\n | |
| 42 | search: return avilable operations, procs or arguments of the give operation/proc\n""" |
|
43 | search: return avilable operations, procs or arguments of the give operation/proc\n""" | |
| 43 | if xml is not None: |
|
44 | if xml is not None: | |
| 44 | runFromXML(xml) |
|
45 | runFromXML(xml) | |
| 45 | elif command == 'generate': |
|
46 | elif command == 'generate': | |
| 46 | generate() |
|
47 | generate() | |
| 47 | elif command == 'test': |
|
48 | elif command == 'test': | |
| 48 | test() |
|
49 | test() | |
| 49 | elif command == 'run': |
|
50 | elif command == 'run': | |
| 50 | runschain(nextcommand) |
|
51 | runschain(nextcommand) | |
| 51 | elif command == 'search': |
|
52 | elif command == 'search': | |
| 52 | search(nextcommand) |
|
53 | search(nextcommand) | |
| 53 | else: |
|
54 | else: | |
| 54 | log.error('Command {} is not defined'.format(command)) |
|
55 | log.error('Command {} is not defined'.format(command)) | |
| 55 |
|
56 | |||
| 56 | def check_module(possible, instance): |
|
57 | def check_module(possible, instance): | |
| 57 | def check(x): |
|
58 | def check(x): | |
| 58 | try: |
|
59 | try: | |
| 59 | instancia = locate('schainpy.model.{}'.format(x)) |
|
60 | instancia = locate('schainpy.model.{}'.format(x)) | |
| 60 | return isinstance(instancia(), instance) |
|
61 | return isinstance(instancia(), instance) | |
| 61 | except Exception as e: |
|
62 | except Exception as e: | |
| 62 | return False |
|
63 | return False | |
| 63 | clean = clean_modules(possible) |
|
64 | clean = clean_modules(possible) | |
| 64 | return [x for x in clean if check(x)] |
|
65 | return [x for x in clean if check(x)] | |
| 65 |
|
66 | |||
| 66 |
|
67 | |||
| 67 | def clean_modules(module): |
|
68 | def clean_modules(module): | |
| 68 | noEndsUnder = [x for x in module if not x.endswith('__')] |
|
69 | noEndsUnder = [x for x in module if not x.endswith('__')] | |
| 69 | noStartUnder = [x for x in noEndsUnder if not x.startswith('__')] |
|
70 | noStartUnder = [x for x in noEndsUnder if not x.startswith('__')] | |
| 70 | noFullUpper = [x for x in noStartUnder if not x.isupper()] |
|
71 | noFullUpper = [x for x in noStartUnder if not x.isupper()] | |
| 71 | return noFullUpper |
|
72 | return noFullUpper | |
| 72 |
|
73 | |||
| 73 |
|
74 | |||
| 74 | def search(nextcommand): |
|
75 | def search(nextcommand): | |
| 75 | if nextcommand is None: |
|
76 | if nextcommand is None: | |
| 76 | log.error('There is no Operation/ProcessingUnit to search') |
|
77 | log.error('There is no Operation/ProcessingUnit to search') | |
| 77 | elif nextcommand == 'procs': |
|
78 | elif nextcommand == 'procs': | |
| 78 | module = dir(import_module('schainpy.model')) |
|
79 | procs = paramsFinder.getProcs() | |
| 79 | procs = check_module(module, ProcessingUnit) |
|
|||
| 80 | try: |
|
|||
| 81 | procs.remove('ProcessingUnit') |
|
|||
| 82 | except Exception as e: |
|
|||
| 83 | pass |
|
|||
| 84 | log.success('Current ProcessingUnits are:\n\033[1m{}\033[0m'.format('\n'.join(procs))) |
|
80 | log.success('Current ProcessingUnits are:\n\033[1m{}\033[0m'.format('\n'.join(procs))) | |
| 85 |
|
81 | |||
| 86 | elif nextcommand == 'operations': |
|
82 | elif nextcommand == 'operations': | |
| 87 | module = dir(import_module('schainpy.model')) |
|
83 | operations = paramsFinder.getOperations() | |
| 88 | noProcs = [x for x in module if not x.endswith('Proc')] |
|
|||
| 89 | operations = check_module(noProcs, Operation) |
|
|||
| 90 | try: |
|
|||
| 91 | operations.remove('Operation') |
|
|||
| 92 | except Exception as e: |
|
|||
| 93 | pass |
|
|||
| 94 | log.success('Current Operations are:\n\033[1m{}\033[0m'.format('\n'.join(operations))) |
|
84 | log.success('Current Operations are:\n\033[1m{}\033[0m'.format('\n'.join(operations))) | |
| 95 | else: |
|
85 | else: | |
| 96 | try: |
|
86 | try: | |
| 97 |
|
|
87 | args = paramsFinder.getArgs(nextcommand) | |
| 98 | args = module().getAllowedArgs() |
|
|||
| 99 | log.warning('Use this feature with caution. It may not return all the allowed arguments') |
|
88 | log.warning('Use this feature with caution. It may not return all the allowed arguments') | |
| 100 | try: |
|
|||
| 101 | args.remove('self') |
|
|||
| 102 | except Exception as e: |
|
|||
| 103 | pass |
|
|||
| 104 | try: |
|
|||
| 105 | args.remove('dataOut') |
|
|||
| 106 | except Exception as e: |
|
|||
| 107 | pass |
|
|||
| 108 | if len(args) == 0: |
|
89 | if len(args) == 0: | |
| 109 | log.success('{} has no arguments'.format(nextcommand)) |
|
90 | log.success('{} has no arguments'.format(nextcommand)) | |
| 110 | else: |
|
91 | else: | |
| 111 | log.success('Showing arguments of {} are:\n\033[1m{}\033[0m'.format(nextcommand, '\n'.join(args))) |
|
92 | log.success('Showing arguments of {} are:\n\033[1m{}\033[0m'.format(nextcommand, '\n'.join(args))) | |
| 112 | except Exception as e: |
|
93 | except Exception as e: | |
| 113 | log.error('Module {} does not exists'.format(nextcommand)) |
|
94 | log.error('Module {} does not exists'.format(nextcommand)) | |
| 114 |
allModules = |
|
95 | allModules = paramsFinder.getAll() | |
| 115 | module = check_module(allModules, Operation) |
|
96 | similar = process.extractOne(nextcommand, allModules)[0] | |
| 116 | module.extend(check_module(allModules, ProcessingUnit)) |
|
97 | log.success('Showing {} instead'.format(similar)) | |
| 117 | similar = process.extractOne(nextcommand, module)[0] |
|
|||
| 118 | log.success('Searching {} instead'.format(similar)) |
|
|||
| 119 | search(similar) |
|
98 | search(similar) | |
| 120 |
|
99 | |||
| 121 |
|
100 | |||
| 122 | def runschain(nextcommand): |
|
101 | def runschain(nextcommand): | |
| 123 | if nextcommand is None: |
|
102 | if nextcommand is None: | |
| 124 | currentfiles = glob.glob('./{}_*.py'.format(PREFIX)) |
|
103 | currentfiles = glob.glob('./{}_*.py'.format(PREFIX)) | |
| 125 | numberfiles = len(currentfiles) |
|
104 | numberfiles = len(currentfiles) | |
| 126 | if numberfiles > 1: |
|
105 | if numberfiles > 1: | |
| 127 | log.error('There is more than one file to run') |
|
106 | log.error('There is more than one file to run') | |
| 128 | elif numberfiles == 1: |
|
107 | elif numberfiles == 1: | |
| 129 | subprocess.call(['python ' + currentfiles[0]], shell=True) |
|
108 | subprocess.call(['python ' + currentfiles[0]], shell=True) | |
| 130 | else: |
|
109 | else: | |
| 131 | log.error('There is no file to run') |
|
110 | log.error('There is no file to run') | |
| 132 | else: |
|
111 | else: | |
| 133 | try: |
|
112 | try: | |
| 134 | subprocess.call(['python ' + nextcommand], shell=True) |
|
113 | subprocess.call(['python ' + nextcommand], shell=True) | |
| 135 | except Exception as e: |
|
114 | except Exception as e: | |
| 136 | log.error("I cannot run the file. Does it exists?") |
|
115 | log.error("I cannot run the file. Does it exists?") | |
| 137 |
|
116 | |||
| 138 |
|
117 | |||
| 139 | def basicInputs(): |
|
118 | def basicInputs(): | |
| 140 | inputs = {} |
|
119 | inputs = {} | |
| 141 | inputs['desc'] = click.prompt('Enter a description', default="A schain project", type=str) |
|
120 | inputs['desc'] = click.prompt('Enter a description', default="A schain project", type=str) | |
| 142 | inputs['name'] = click.prompt('Name of the project', default="project", type=str) |
|
121 | inputs['name'] = click.prompt('Name of the project', default="project", type=str) | |
| 143 | inputs['path'] = click.prompt('Data path', default=os.getcwd(), type=click.Path(exists=True, resolve_path=True)) |
|
122 | inputs['path'] = click.prompt('Data path', default=os.getcwd(), type=click.Path(exists=True, resolve_path=True)) | |
| 144 | inputs['startDate'] = click.prompt('Start date', default='1970/01/01', type=str) |
|
123 | inputs['startDate'] = click.prompt('Start date', default='1970/01/01', type=str) | |
| 145 | inputs['endDate'] = click.prompt('End date', default='2017/12/31', type=str) |
|
124 | inputs['endDate'] = click.prompt('End date', default='2017/12/31', type=str) | |
| 146 | inputs['startHour'] = click.prompt('Start hour', default='00:00:00', type=str) |
|
125 | inputs['startHour'] = click.prompt('Start hour', default='00:00:00', type=str) | |
| 147 | inputs['endHour'] = click.prompt('End hour', default='23:59:59', type=str) |
|
126 | inputs['endHour'] = click.prompt('End hour', default='23:59:59', type=str) | |
| 148 | inputs['figpath'] = inputs['path'] + '/figs' |
|
127 | inputs['figpath'] = inputs['path'] + '/figs' | |
| 149 | return inputs |
|
128 | return inputs | |
| 150 |
|
129 | |||
| 151 |
|
130 | |||
| 152 | def generate(): |
|
131 | def generate(): | |
| 153 | inputs = basicInputs() |
|
132 | inputs = basicInputs() | |
| 154 | inputs['multiprocess'] = click.confirm('Is this a multiprocess script?') |
|
133 | inputs['multiprocess'] = click.confirm('Is this a multiprocess script?') | |
| 155 | if inputs['multiprocess']: |
|
134 | if inputs['multiprocess']: | |
| 156 | inputs['nProcess'] = click.prompt('How many process?', default=cpu_count(), type=int) |
|
135 | inputs['nProcess'] = click.prompt('How many process?', default=cpu_count(), type=int) | |
| 157 | current = templates.multiprocess.format(**inputs) |
|
136 | current = templates.multiprocess.format(**inputs) | |
| 158 | else: |
|
137 | else: | |
| 159 | current = templates.basic.format(**inputs) |
|
138 | current = templates.basic.format(**inputs) | |
| 160 | scriptname = '{}_{}.py'.format(PREFIX, inputs['name']) |
|
139 | scriptname = '{}_{}.py'.format(PREFIX, inputs['name']) | |
| 161 | script = open(scriptname, 'w') |
|
140 | script = open(scriptname, 'w') | |
| 162 | try: |
|
141 | try: | |
| 163 | script.write(current) |
|
142 | script.write(current) | |
| 164 | log.success('Script {} generated'.format(scriptname)) |
|
143 | log.success('Script {} generated'.format(scriptname)) | |
| 165 | except Exception as e: |
|
144 | except Exception as e: | |
| 166 | log.error('I cannot create the file. Do you have writing permissions?') |
|
145 | log.error('I cannot create the file. Do you have writing permissions?') | |
| 167 |
|
146 | |||
| 168 |
|
147 | |||
| 169 | def test(): |
|
148 | def test(): | |
| 170 | log.warning('testing') |
|
149 | log.warning('testing') | |
| 171 |
|
150 | |||
| 172 |
|
151 | |||
| 173 | def runFromXML(filename): |
|
152 | def runFromXML(filename): | |
| 174 | controller = controller_api.ControllerThread() |
|
153 | controller = controller_api.ControllerThread() | |
| 175 | if not controller.readXml(filename): |
|
154 | if not controller.readXml(filename): | |
| 176 | return |
|
155 | return | |
| 177 |
|
156 | |||
| 178 | plotterObj = controller.useExternalPlotter() |
|
157 | plotterObj = controller.useExternalPlotter() | |
| 179 |
|
158 | |||
| 180 | controller.start() |
|
159 | controller.start() | |
| 181 | plotterObj.start() |
|
160 | plotterObj.start() | |
| 182 |
|
161 | |||
| 183 | cliLogger("Finishing all processes") |
|
162 | cliLogger("Finishing all processes") | |
| 184 |
|
163 | |||
| 185 | controller.join(5) |
|
164 | controller.join(5) | |
| 186 |
|
165 | |||
| 187 | cliLogger("End of script") |
|
166 | cliLogger("End of script") | |
| 188 | return |
|
167 | return | |
| @@ -1,1534 +1,1595 | |||||
| 1 | ''' |
|
1 | ''' | |
| 2 | Created on Jul 9, 2014 |
|
2 | Created on Jul 9, 2014 | |
| 3 |
|
3 | |||
| 4 | @author: roj-idl71 |
|
4 | @author: roj-idl71 | |
| 5 | ''' |
|
5 | ''' | |
| 6 | import os |
|
6 | import os | |
| 7 | import datetime |
|
7 | import datetime | |
| 8 | import numpy |
|
8 | import numpy | |
| 9 |
|
9 | |||
| 10 | from figure import Figure, isRealtime, isTimeInHourRange |
|
10 | from figure import Figure, isRealtime, isTimeInHourRange | |
| 11 | from plotting_codes import * |
|
11 | from plotting_codes import * | |
| 12 |
|
12 | |||
|
|
13 | ||||
| 13 | class SpectraPlot(Figure): |
|
14 | class SpectraPlot(Figure): | |
| 14 |
|
15 | |||
| 15 | isConfig = None |
|
16 | isConfig = None | |
| 16 | __nsubplots = None |
|
17 | __nsubplots = None | |
| 17 |
|
18 | |||
| 18 | WIDTHPROF = None |
|
19 | WIDTHPROF = None | |
| 19 | HEIGHTPROF = None |
|
20 | HEIGHTPROF = None | |
| 20 | PREFIX = 'spc' |
|
21 | PREFIX = 'spc' | |
| 21 |
|
22 | |||
| 22 | def __init__(self, **kwargs): |
|
23 | def __init__(self, **kwargs): | |
| 23 | Figure.__init__(self, **kwargs) |
|
24 | Figure.__init__(self, **kwargs) | |
| 24 | self.isConfig = False |
|
25 | self.isConfig = False | |
| 25 | self.__nsubplots = 1 |
|
26 | self.__nsubplots = 1 | |
| 26 |
|
27 | |||
| 27 | self.WIDTH = 250 |
|
28 | self.WIDTH = 250 | |
| 28 | self.HEIGHT = 250 |
|
29 | self.HEIGHT = 250 | |
| 29 | self.WIDTHPROF = 120 |
|
30 | self.WIDTHPROF = 120 | |
| 30 | self.HEIGHTPROF = 0 |
|
31 | self.HEIGHTPROF = 0 | |
| 31 | self.counter_imagwr = 0 |
|
32 | self.counter_imagwr = 0 | |
| 32 |
|
33 | |||
| 33 | self.PLOT_CODE = SPEC_CODE |
|
34 | self.PLOT_CODE = SPEC_CODE | |
| 34 |
|
35 | |||
| 35 | self.FTP_WEI = None |
|
36 | self.FTP_WEI = None | |
| 36 | self.EXP_CODE = None |
|
37 | self.EXP_CODE = None | |
| 37 | self.SUB_EXP_CODE = None |
|
38 | self.SUB_EXP_CODE = None | |
| 38 | self.PLOT_POS = None |
|
39 | self.PLOT_POS = None | |
| 39 |
|
40 | |||
| 40 | self.__xfilter_ena = False |
|
41 | self.__xfilter_ena = False | |
| 41 | self.__yfilter_ena = False |
|
42 | self.__yfilter_ena = False | |
| 42 |
|
43 | |||
| 43 | def getSubplots(self): |
|
44 | def getSubplots(self): | |
| 44 |
|
45 | |||
| 45 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
46 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
| 46 | nrow = int(self.nplots*1./ncol + 0.9) |
|
47 | nrow = int(self.nplots*1./ncol + 0.9) | |
| 47 |
|
48 | |||
| 48 | return nrow, ncol |
|
49 | return nrow, ncol | |
| 49 |
|
50 | |||
| 50 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
51 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 51 |
|
52 | |||
| 52 | self.__showprofile = showprofile |
|
53 | self.__showprofile = showprofile | |
| 53 | self.nplots = nplots |
|
54 | self.nplots = nplots | |
| 54 |
|
55 | |||
| 55 | ncolspan = 1 |
|
56 | ncolspan = 1 | |
| 56 | colspan = 1 |
|
57 | colspan = 1 | |
| 57 | if showprofile: |
|
58 | if showprofile: | |
| 58 | ncolspan = 3 |
|
59 | ncolspan = 3 | |
| 59 | colspan = 2 |
|
60 | colspan = 2 | |
| 60 | self.__nsubplots = 2 |
|
61 | self.__nsubplots = 2 | |
| 61 |
|
62 | |||
| 62 | self.createFigure(id = id, |
|
63 | self.createFigure(id = id, | |
| 63 | wintitle = wintitle, |
|
64 | wintitle = wintitle, | |
| 64 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
65 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 65 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
66 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 66 | show=show) |
|
67 | show=show) | |
| 67 |
|
68 | |||
| 68 | nrow, ncol = self.getSubplots() |
|
69 | nrow, ncol = self.getSubplots() | |
| 69 |
|
70 | |||
| 70 | counter = 0 |
|
71 | counter = 0 | |
| 71 | for y in range(nrow): |
|
72 | for y in range(nrow): | |
| 72 | for x in range(ncol): |
|
73 | for x in range(ncol): | |
| 73 |
|
74 | |||
| 74 | if counter >= self.nplots: |
|
75 | if counter >= self.nplots: | |
| 75 | break |
|
76 | break | |
| 76 |
|
77 | |||
| 77 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
78 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 78 |
|
79 | |||
| 79 | if showprofile: |
|
80 | if showprofile: | |
| 80 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
81 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 81 |
|
82 | |||
| 82 | counter += 1 |
|
83 | counter += 1 | |
| 83 |
|
84 | |||
| 84 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
85 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
| 85 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
86 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 86 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
87 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 87 | server=None, folder=None, username=None, password=None, |
|
88 | server=None, folder=None, username=None, password=None, | |
| 88 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
89 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, | |
| 89 | xaxis="velocity", **kwargs): |
|
90 | xaxis="velocity", **kwargs): | |
| 90 |
|
91 | |||
| 91 | """ |
|
92 | """ | |
| 92 |
|
93 | |||
| 93 | Input: |
|
94 | Input: | |
| 94 | dataOut : |
|
95 | dataOut : | |
| 95 | id : |
|
96 | id : | |
| 96 | wintitle : |
|
97 | wintitle : | |
| 97 | channelList : |
|
98 | channelList : | |
| 98 | showProfile : |
|
99 | showProfile : | |
| 99 | xmin : None, |
|
100 | xmin : None, | |
| 100 | xmax : None, |
|
101 | xmax : None, | |
| 101 | ymin : None, |
|
102 | ymin : None, | |
| 102 | ymax : None, |
|
103 | ymax : None, | |
| 103 | zmin : None, |
|
104 | zmin : None, | |
| 104 | zmax : None |
|
105 | zmax : None | |
| 105 | """ |
|
106 | """ | |
| 106 |
|
107 | |||
| 107 | colormap = kwargs.get('colormap','jet') |
|
108 | colormap = kwargs.get('colormap','jet') | |
| 108 |
|
109 | |||
| 109 | if realtime: |
|
110 | if realtime: | |
| 110 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
111 | if not(isRealtime(utcdatatime = dataOut.utctime)): | |
| 111 | print 'Skipping this plot function' |
|
112 | print 'Skipping this plot function' | |
| 112 | return |
|
113 | return | |
| 113 |
|
114 | |||
| 114 | if channelList == None: |
|
115 | if channelList == None: | |
| 115 | channelIndexList = dataOut.channelIndexList |
|
116 | channelIndexList = dataOut.channelIndexList | |
| 116 | else: |
|
117 | else: | |
| 117 | channelIndexList = [] |
|
118 | channelIndexList = [] | |
| 118 | for channel in channelList: |
|
119 | for channel in channelList: | |
| 119 | if channel not in dataOut.channelList: |
|
120 | if channel not in dataOut.channelList: | |
| 120 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel |
|
121 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel | |
| 121 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
122 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 122 |
|
123 | |||
| 123 | factor = dataOut.normFactor |
|
124 | factor = dataOut.normFactor | |
| 124 |
|
125 | |||
| 125 | if xaxis == "frequency": |
|
126 | if xaxis == "frequency": | |
| 126 | x = dataOut.getFreqRange(1)/1000. |
|
127 | x = dataOut.getFreqRange(1)/1000. | |
| 127 | xlabel = "Frequency (kHz)" |
|
128 | xlabel = "Frequency (kHz)" | |
| 128 |
|
129 | |||
| 129 | elif xaxis == "time": |
|
130 | elif xaxis == "time": | |
| 130 | x = dataOut.getAcfRange(1) |
|
131 | x = dataOut.getAcfRange(1) | |
| 131 | xlabel = "Time (ms)" |
|
132 | xlabel = "Time (ms)" | |
| 132 |
|
133 | |||
| 133 | else: |
|
134 | else: | |
| 134 | x = dataOut.getVelRange(1) |
|
135 | x = dataOut.getVelRange(1) | |
| 135 | xlabel = "Velocity (m/s)" |
|
136 | xlabel = "Velocity (m/s)" | |
| 136 |
|
137 | |||
| 137 | ylabel = "Range (Km)" |
|
138 | ylabel = "Range (Km)" | |
| 138 |
|
139 | |||
| 139 | y = dataOut.getHeiRange() |
|
140 | y = dataOut.getHeiRange() | |
| 140 |
|
141 | |||
| 141 | z = dataOut.data_spc/factor |
|
142 | z = dataOut.data_spc/factor | |
| 142 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
143 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 143 | zdB = 10*numpy.log10(z) |
|
144 | zdB = 10*numpy.log10(z) | |
| 144 |
|
145 | |||
| 145 | avg = numpy.average(z, axis=1) |
|
146 | avg = numpy.average(z, axis=1) | |
| 146 | avgdB = 10*numpy.log10(avg) |
|
147 | avgdB = 10*numpy.log10(avg) | |
| 147 |
|
148 | |||
| 148 | noise = dataOut.getNoise()/factor |
|
149 | noise = dataOut.getNoise()/factor | |
| 149 | noisedB = 10*numpy.log10(noise) |
|
150 | noisedB = 10*numpy.log10(noise) | |
| 150 |
|
151 | |||
| 151 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
152 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 152 | title = wintitle + " Spectra" |
|
153 | title = wintitle + " Spectra" | |
| 153 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
154 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 154 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
155 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
| 155 |
|
156 | |||
| 156 | if not self.isConfig: |
|
157 | if not self.isConfig: | |
| 157 |
|
158 | |||
| 158 | nplots = len(channelIndexList) |
|
159 | nplots = len(channelIndexList) | |
| 159 |
|
160 | |||
| 160 | self.setup(id=id, |
|
161 | self.setup(id=id, | |
| 161 | nplots=nplots, |
|
162 | nplots=nplots, | |
| 162 | wintitle=wintitle, |
|
163 | wintitle=wintitle, | |
| 163 | showprofile=showprofile, |
|
164 | showprofile=showprofile, | |
| 164 | show=show) |
|
165 | show=show) | |
| 165 |
|
166 | |||
| 166 | if xmin == None: xmin = numpy.nanmin(x) |
|
167 | if xmin == None: xmin = numpy.nanmin(x) | |
| 167 | if xmax == None: xmax = numpy.nanmax(x) |
|
168 | if xmax == None: xmax = numpy.nanmax(x) | |
| 168 | if ymin == None: ymin = numpy.nanmin(y) |
|
169 | if ymin == None: ymin = numpy.nanmin(y) | |
| 169 | if ymax == None: ymax = numpy.nanmax(y) |
|
170 | if ymax == None: ymax = numpy.nanmax(y) | |
| 170 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
171 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
| 171 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
172 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
| 172 |
|
173 | |||
| 173 | self.FTP_WEI = ftp_wei |
|
174 | self.FTP_WEI = ftp_wei | |
| 174 | self.EXP_CODE = exp_code |
|
175 | self.EXP_CODE = exp_code | |
| 175 | self.SUB_EXP_CODE = sub_exp_code |
|
176 | self.SUB_EXP_CODE = sub_exp_code | |
| 176 | self.PLOT_POS = plot_pos |
|
177 | self.PLOT_POS = plot_pos | |
| 177 |
|
178 | |||
| 178 | self.isConfig = True |
|
179 | self.isConfig = True | |
| 179 |
|
180 | |||
| 180 | self.setWinTitle(title) |
|
181 | self.setWinTitle(title) | |
| 181 |
|
182 | |||
| 182 | for i in range(self.nplots): |
|
183 | for i in range(self.nplots): | |
| 183 | index = channelIndexList[i] |
|
184 | index = channelIndexList[i] | |
| 184 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
185 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 185 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) |
|
186 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) | |
| 186 | if len(dataOut.beam.codeList) != 0: |
|
187 | if len(dataOut.beam.codeList) != 0: | |
| 187 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) |
|
188 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) | |
| 188 |
|
189 | |||
| 189 | axes = self.axesList[i*self.__nsubplots] |
|
190 | axes = self.axesList[i*self.__nsubplots] | |
| 190 | axes.pcolor(x, y, zdB[index,:,:], |
|
191 | axes.pcolor(x, y, zdB[index,:,:], | |
| 191 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
192 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 192 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, |
|
193 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, | |
| 193 | ticksize=9, cblabel='') |
|
194 | ticksize=9, cblabel='') | |
| 194 |
|
195 | |||
| 195 | if self.__showprofile: |
|
196 | if self.__showprofile: | |
| 196 | axes = self.axesList[i*self.__nsubplots +1] |
|
197 | axes = self.axesList[i*self.__nsubplots +1] | |
| 197 | axes.pline(avgdB[index,:], y, |
|
198 | axes.pline(avgdB[index,:], y, | |
| 198 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
199 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 199 | xlabel='dB', ylabel='', title='', |
|
200 | xlabel='dB', ylabel='', title='', | |
| 200 | ytick_visible=False, |
|
201 | ytick_visible=False, | |
| 201 | grid='x') |
|
202 | grid='x') | |
| 202 |
|
203 | |||
| 203 | noiseline = numpy.repeat(noisedB[index], len(y)) |
|
204 | noiseline = numpy.repeat(noisedB[index], len(y)) | |
| 204 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
205 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) | |
| 205 |
|
206 | |||
| 206 | self.draw() |
|
207 | self.draw() | |
| 207 |
|
208 | |||
| 208 | if figfile == None: |
|
209 | if figfile == None: | |
| 209 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
210 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 210 | name = str_datetime |
|
211 | name = str_datetime | |
| 211 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
212 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 212 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
213 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) | |
| 213 | figfile = self.getFilename(name) |
|
214 | figfile = self.getFilename(name) | |
| 214 |
|
215 | |||
| 215 | self.save(figpath=figpath, |
|
216 | self.save(figpath=figpath, | |
| 216 | figfile=figfile, |
|
217 | figfile=figfile, | |
| 217 | save=save, |
|
218 | save=save, | |
| 218 | ftp=ftp, |
|
219 | ftp=ftp, | |
| 219 | wr_period=wr_period, |
|
220 | wr_period=wr_period, | |
| 220 | thisDatetime=thisDatetime) |
|
221 | thisDatetime=thisDatetime) | |
| 221 |
|
222 | |||
| 222 | class CrossSpectraPlot(Figure): |
|
223 | class CrossSpectraPlot(Figure): | |
| 223 |
|
224 | |||
| 224 | isConfig = None |
|
225 | isConfig = None | |
| 225 | __nsubplots = None |
|
226 | __nsubplots = None | |
| 226 |
|
227 | |||
| 227 | WIDTH = None |
|
228 | WIDTH = None | |
| 228 | HEIGHT = None |
|
229 | HEIGHT = None | |
| 229 | WIDTHPROF = None |
|
230 | WIDTHPROF = None | |
| 230 | HEIGHTPROF = None |
|
231 | HEIGHTPROF = None | |
| 231 | PREFIX = 'cspc' |
|
232 | PREFIX = 'cspc' | |
| 232 |
|
233 | |||
| 233 | def __init__(self, **kwargs): |
|
234 | def __init__(self, **kwargs): | |
| 234 | Figure.__init__(self, **kwargs) |
|
235 | Figure.__init__(self, **kwargs) | |
| 235 | self.isConfig = False |
|
236 | self.isConfig = False | |
| 236 | self.__nsubplots = 4 |
|
237 | self.__nsubplots = 4 | |
| 237 | self.counter_imagwr = 0 |
|
238 | self.counter_imagwr = 0 | |
| 238 | self.WIDTH = 250 |
|
239 | self.WIDTH = 250 | |
| 239 | self.HEIGHT = 250 |
|
240 | self.HEIGHT = 250 | |
| 240 | self.WIDTHPROF = 0 |
|
241 | self.WIDTHPROF = 0 | |
| 241 | self.HEIGHTPROF = 0 |
|
242 | self.HEIGHTPROF = 0 | |
| 242 |
|
243 | |||
| 243 | self.PLOT_CODE = CROSS_CODE |
|
244 | self.PLOT_CODE = CROSS_CODE | |
| 244 | self.FTP_WEI = None |
|
245 | self.FTP_WEI = None | |
| 245 | self.EXP_CODE = None |
|
246 | self.EXP_CODE = None | |
| 246 | self.SUB_EXP_CODE = None |
|
247 | self.SUB_EXP_CODE = None | |
| 247 | self.PLOT_POS = None |
|
248 | self.PLOT_POS = None | |
| 248 |
|
249 | |||
| 249 | def getSubplots(self): |
|
250 | def getSubplots(self): | |
| 250 |
|
251 | |||
| 251 | ncol = 4 |
|
252 | ncol = 4 | |
| 252 | nrow = self.nplots |
|
253 | nrow = self.nplots | |
| 253 |
|
254 | |||
| 254 | return nrow, ncol |
|
255 | return nrow, ncol | |
| 255 |
|
256 | |||
| 256 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
257 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 257 |
|
258 | |||
| 258 | self.__showprofile = showprofile |
|
259 | self.__showprofile = showprofile | |
| 259 | self.nplots = nplots |
|
260 | self.nplots = nplots | |
| 260 |
|
261 | |||
| 261 | ncolspan = 1 |
|
262 | ncolspan = 1 | |
| 262 | colspan = 1 |
|
263 | colspan = 1 | |
| 263 |
|
264 | |||
| 264 | self.createFigure(id = id, |
|
265 | self.createFigure(id = id, | |
| 265 | wintitle = wintitle, |
|
266 | wintitle = wintitle, | |
| 266 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
267 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 267 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
268 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 268 | show=True) |
|
269 | show=True) | |
| 269 |
|
270 | |||
| 270 | nrow, ncol = self.getSubplots() |
|
271 | nrow, ncol = self.getSubplots() | |
| 271 |
|
272 | |||
| 272 | counter = 0 |
|
273 | counter = 0 | |
| 273 | for y in range(nrow): |
|
274 | for y in range(nrow): | |
| 274 | for x in range(ncol): |
|
275 | for x in range(ncol): | |
| 275 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
276 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 276 |
|
277 | |||
| 277 | counter += 1 |
|
278 | counter += 1 | |
| 278 |
|
279 | |||
| 279 | def run(self, dataOut, id, wintitle="", pairsList=None, |
|
280 | def run(self, dataOut, id, wintitle="", pairsList=None, | |
| 280 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
281 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 281 | coh_min=None, coh_max=None, phase_min=None, phase_max=None, |
|
282 | coh_min=None, coh_max=None, phase_min=None, phase_max=None, | |
| 282 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
283 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, | |
| 283 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
284 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True, | |
| 284 | server=None, folder=None, username=None, password=None, |
|
285 | server=None, folder=None, username=None, password=None, | |
| 285 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, |
|
286 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, | |
| 286 | xaxis='frequency'): |
|
287 | xaxis='frequency'): | |
| 287 |
|
288 | |||
| 288 | """ |
|
289 | """ | |
| 289 |
|
290 | |||
| 290 | Input: |
|
291 | Input: | |
| 291 | dataOut : |
|
292 | dataOut : | |
| 292 | id : |
|
293 | id : | |
| 293 | wintitle : |
|
294 | wintitle : | |
| 294 | channelList : |
|
295 | channelList : | |
| 295 | showProfile : |
|
296 | showProfile : | |
| 296 | xmin : None, |
|
297 | xmin : None, | |
| 297 | xmax : None, |
|
298 | xmax : None, | |
| 298 | ymin : None, |
|
299 | ymin : None, | |
| 299 | ymax : None, |
|
300 | ymax : None, | |
| 300 | zmin : None, |
|
301 | zmin : None, | |
| 301 | zmax : None |
|
302 | zmax : None | |
| 302 | """ |
|
303 | """ | |
| 303 |
|
304 | |||
| 304 | if pairsList == None: |
|
305 | if pairsList == None: | |
| 305 | pairsIndexList = dataOut.pairsIndexList |
|
306 | pairsIndexList = dataOut.pairsIndexList | |
| 306 | else: |
|
307 | else: | |
| 307 | pairsIndexList = [] |
|
308 | pairsIndexList = [] | |
| 308 | for pair in pairsList: |
|
309 | for pair in pairsList: | |
| 309 | if pair not in dataOut.pairsList: |
|
310 | if pair not in dataOut.pairsList: | |
| 310 | raise ValueError, "Pair %s is not in dataOut.pairsList" %str(pair) |
|
311 | raise ValueError, "Pair %s is not in dataOut.pairsList" %str(pair) | |
| 311 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
312 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
| 312 |
|
313 | |||
| 313 | if not pairsIndexList: |
|
314 | if not pairsIndexList: | |
| 314 | return |
|
315 | return | |
| 315 |
|
316 | |||
| 316 | if len(pairsIndexList) > 4: |
|
317 | if len(pairsIndexList) > 4: | |
| 317 | pairsIndexList = pairsIndexList[0:4] |
|
318 | pairsIndexList = pairsIndexList[0:4] | |
| 318 |
|
319 | |||
| 319 | factor = dataOut.normFactor |
|
320 | factor = dataOut.normFactor | |
| 320 | x = dataOut.getVelRange(1) |
|
321 | x = dataOut.getVelRange(1) | |
| 321 | y = dataOut.getHeiRange() |
|
322 | y = dataOut.getHeiRange() | |
| 322 | z = dataOut.data_spc[:,:,:]/factor |
|
323 | z = dataOut.data_spc[:,:,:]/factor | |
| 323 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
324 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 324 |
|
325 | |||
| 325 | noise = dataOut.noise/factor |
|
326 | noise = dataOut.noise/factor | |
| 326 |
|
327 | |||
| 327 | zdB = 10*numpy.log10(z) |
|
328 | zdB = 10*numpy.log10(z) | |
| 328 | noisedB = 10*numpy.log10(noise) |
|
329 | noisedB = 10*numpy.log10(noise) | |
| 329 |
|
330 | |||
| 330 | if coh_min == None: |
|
331 | if coh_min == None: | |
| 331 | coh_min = 0.0 |
|
332 | coh_min = 0.0 | |
| 332 | if coh_max == None: |
|
333 | if coh_max == None: | |
| 333 | coh_max = 1.0 |
|
334 | coh_max = 1.0 | |
| 334 |
|
335 | |||
| 335 | if phase_min == None: |
|
336 | if phase_min == None: | |
| 336 | phase_min = -180 |
|
337 | phase_min = -180 | |
| 337 | if phase_max == None: |
|
338 | if phase_max == None: | |
| 338 | phase_max = 180 |
|
339 | phase_max = 180 | |
| 339 |
|
340 | |||
| 340 | #thisDatetime = dataOut.datatime |
|
341 | #thisDatetime = dataOut.datatime | |
| 341 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
342 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 342 | title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
343 | title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 343 | # xlabel = "Velocity (m/s)" |
|
344 | # xlabel = "Velocity (m/s)" | |
| 344 | ylabel = "Range (Km)" |
|
345 | ylabel = "Range (Km)" | |
| 345 |
|
346 | |||
| 346 | if xaxis == "frequency": |
|
347 | if xaxis == "frequency": | |
| 347 | x = dataOut.getFreqRange(1)/1000. |
|
348 | x = dataOut.getFreqRange(1)/1000. | |
| 348 | xlabel = "Frequency (kHz)" |
|
349 | xlabel = "Frequency (kHz)" | |
| 349 |
|
350 | |||
| 350 | elif xaxis == "time": |
|
351 | elif xaxis == "time": | |
| 351 | x = dataOut.getAcfRange(1) |
|
352 | x = dataOut.getAcfRange(1) | |
| 352 | xlabel = "Time (ms)" |
|
353 | xlabel = "Time (ms)" | |
| 353 |
|
354 | |||
| 354 | else: |
|
355 | else: | |
| 355 | x = dataOut.getVelRange(1) |
|
356 | x = dataOut.getVelRange(1) | |
| 356 | xlabel = "Velocity (m/s)" |
|
357 | xlabel = "Velocity (m/s)" | |
| 357 |
|
358 | |||
| 358 | if not self.isConfig: |
|
359 | if not self.isConfig: | |
| 359 |
|
360 | |||
| 360 | nplots = len(pairsIndexList) |
|
361 | nplots = len(pairsIndexList) | |
| 361 |
|
362 | |||
| 362 | self.setup(id=id, |
|
363 | self.setup(id=id, | |
| 363 | nplots=nplots, |
|
364 | nplots=nplots, | |
| 364 | wintitle=wintitle, |
|
365 | wintitle=wintitle, | |
| 365 | showprofile=False, |
|
366 | showprofile=False, | |
| 366 | show=show) |
|
367 | show=show) | |
| 367 |
|
368 | |||
| 368 | avg = numpy.abs(numpy.average(z, axis=1)) |
|
369 | avg = numpy.abs(numpy.average(z, axis=1)) | |
| 369 | avgdB = 10*numpy.log10(avg) |
|
370 | avgdB = 10*numpy.log10(avg) | |
| 370 |
|
371 | |||
| 371 | if xmin == None: xmin = numpy.nanmin(x) |
|
372 | if xmin == None: xmin = numpy.nanmin(x) | |
| 372 | if xmax == None: xmax = numpy.nanmax(x) |
|
373 | if xmax == None: xmax = numpy.nanmax(x) | |
| 373 | if ymin == None: ymin = numpy.nanmin(y) |
|
374 | if ymin == None: ymin = numpy.nanmin(y) | |
| 374 | if ymax == None: ymax = numpy.nanmax(y) |
|
375 | if ymax == None: ymax = numpy.nanmax(y) | |
| 375 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
376 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
| 376 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
377 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
| 377 |
|
378 | |||
| 378 | self.FTP_WEI = ftp_wei |
|
379 | self.FTP_WEI = ftp_wei | |
| 379 | self.EXP_CODE = exp_code |
|
380 | self.EXP_CODE = exp_code | |
| 380 | self.SUB_EXP_CODE = sub_exp_code |
|
381 | self.SUB_EXP_CODE = sub_exp_code | |
| 381 | self.PLOT_POS = plot_pos |
|
382 | self.PLOT_POS = plot_pos | |
| 382 |
|
383 | |||
| 383 | self.isConfig = True |
|
384 | self.isConfig = True | |
| 384 |
|
385 | |||
| 385 | self.setWinTitle(title) |
|
386 | self.setWinTitle(title) | |
| 386 |
|
387 | |||
| 387 | for i in range(self.nplots): |
|
388 | for i in range(self.nplots): | |
| 388 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
389 | pair = dataOut.pairsList[pairsIndexList[i]] | |
| 389 |
|
390 | |||
| 390 | chan_index0 = dataOut.channelList.index(pair[0]) |
|
391 | chan_index0 = dataOut.channelList.index(pair[0]) | |
| 391 | chan_index1 = dataOut.channelList.index(pair[1]) |
|
392 | chan_index1 = dataOut.channelList.index(pair[1]) | |
| 392 |
|
393 | |||
| 393 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
394 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 394 | title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[chan_index0], str_datetime) |
|
395 | title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[chan_index0], str_datetime) | |
| 395 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index0,:,:]/factor) |
|
396 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index0,:,:]/factor) | |
| 396 | axes0 = self.axesList[i*self.__nsubplots] |
|
397 | axes0 = self.axesList[i*self.__nsubplots] | |
| 397 | axes0.pcolor(x, y, zdB, |
|
398 | axes0.pcolor(x, y, zdB, | |
| 398 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
399 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 399 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
400 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 400 | ticksize=9, colormap=power_cmap, cblabel='') |
|
401 | ticksize=9, colormap=power_cmap, cblabel='') | |
| 401 |
|
402 | |||
| 402 | title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[chan_index1], str_datetime) |
|
403 | title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[chan_index1], str_datetime) | |
| 403 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index1,:,:]/factor) |
|
404 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index1,:,:]/factor) | |
| 404 | axes0 = self.axesList[i*self.__nsubplots+1] |
|
405 | axes0 = self.axesList[i*self.__nsubplots+1] | |
| 405 | axes0.pcolor(x, y, zdB, |
|
406 | axes0.pcolor(x, y, zdB, | |
| 406 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
407 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 407 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
408 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 408 | ticksize=9, colormap=power_cmap, cblabel='') |
|
409 | ticksize=9, colormap=power_cmap, cblabel='') | |
| 409 |
|
410 | |||
| 410 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[chan_index0,:,:]*dataOut.data_spc[chan_index1,:,:]) |
|
411 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[chan_index0,:,:]*dataOut.data_spc[chan_index1,:,:]) | |
| 411 | coherence = numpy.abs(coherenceComplex) |
|
412 | coherence = numpy.abs(coherenceComplex) | |
| 412 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
413 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi | |
| 413 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi |
|
414 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi | |
| 414 |
|
415 | |||
| 415 | title = "Coherence Ch%d * Ch%d" %(pair[0], pair[1]) |
|
416 | title = "Coherence Ch%d * Ch%d" %(pair[0], pair[1]) | |
| 416 | axes0 = self.axesList[i*self.__nsubplots+2] |
|
417 | axes0 = self.axesList[i*self.__nsubplots+2] | |
| 417 | axes0.pcolor(x, y, coherence, |
|
418 | axes0.pcolor(x, y, coherence, | |
| 418 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=coh_min, zmax=coh_max, |
|
419 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=coh_min, zmax=coh_max, | |
| 419 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
420 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 420 | ticksize=9, colormap=coherence_cmap, cblabel='') |
|
421 | ticksize=9, colormap=coherence_cmap, cblabel='') | |
| 421 |
|
422 | |||
| 422 | title = "Phase Ch%d * Ch%d" %(pair[0], pair[1]) |
|
423 | title = "Phase Ch%d * Ch%d" %(pair[0], pair[1]) | |
| 423 | axes0 = self.axesList[i*self.__nsubplots+3] |
|
424 | axes0 = self.axesList[i*self.__nsubplots+3] | |
| 424 | axes0.pcolor(x, y, phase, |
|
425 | axes0.pcolor(x, y, phase, | |
| 425 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
426 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, | |
| 426 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
427 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 427 | ticksize=9, colormap=phase_cmap, cblabel='') |
|
428 | ticksize=9, colormap=phase_cmap, cblabel='') | |
| 428 |
|
429 | |||
| 429 |
|
430 | |||
| 430 |
|
431 | |||
| 431 | self.draw() |
|
432 | self.draw() | |
| 432 |
|
433 | |||
| 433 | self.save(figpath=figpath, |
|
434 | self.save(figpath=figpath, | |
| 434 | figfile=figfile, |
|
435 | figfile=figfile, | |
| 435 | save=save, |
|
436 | save=save, | |
| 436 | ftp=ftp, |
|
437 | ftp=ftp, | |
| 437 | wr_period=wr_period, |
|
438 | wr_period=wr_period, | |
| 438 | thisDatetime=thisDatetime) |
|
439 | thisDatetime=thisDatetime) | |
| 439 |
|
440 | |||
| 440 |
|
441 | |||
| 441 | class RTIPlot(Figure): |
|
442 | class RTIPlot(Figure): | |
| 442 |
|
443 | |||
| 443 | __isConfig = None |
|
444 | __isConfig = None | |
| 444 | __nsubplots = None |
|
445 | __nsubplots = None | |
| 445 |
|
446 | |||
| 446 | WIDTHPROF = None |
|
447 | WIDTHPROF = None | |
| 447 | HEIGHTPROF = None |
|
448 | HEIGHTPROF = None | |
| 448 | PREFIX = 'rti' |
|
449 | PREFIX = 'rti' | |
| 449 |
|
450 | |||
| 450 | def __init__(self, **kwargs): |
|
451 | def __init__(self, **kwargs): | |
| 451 |
|
452 | |||
| 452 | Figure.__init__(self, **kwargs) |
|
453 | Figure.__init__(self, **kwargs) | |
| 453 | self.timerange = None |
|
454 | self.timerange = None | |
| 454 | self.isConfig = False |
|
455 | self.isConfig = False | |
| 455 | self.__nsubplots = 1 |
|
456 | self.__nsubplots = 1 | |
| 456 |
|
457 | |||
| 457 | self.WIDTH = 800 |
|
458 | self.WIDTH = 800 | |
| 458 | self.HEIGHT = 180 |
|
459 | self.HEIGHT = 180 | |
| 459 | self.WIDTHPROF = 120 |
|
460 | self.WIDTHPROF = 120 | |
| 460 | self.HEIGHTPROF = 0 |
|
461 | self.HEIGHTPROF = 0 | |
| 461 | self.counter_imagwr = 0 |
|
462 | self.counter_imagwr = 0 | |
| 462 |
|
463 | |||
| 463 | self.PLOT_CODE = RTI_CODE |
|
464 | self.PLOT_CODE = RTI_CODE | |
| 464 |
|
465 | |||
| 465 | self.FTP_WEI = None |
|
466 | self.FTP_WEI = None | |
| 466 | self.EXP_CODE = None |
|
467 | self.EXP_CODE = None | |
| 467 | self.SUB_EXP_CODE = None |
|
468 | self.SUB_EXP_CODE = None | |
| 468 | self.PLOT_POS = None |
|
469 | self.PLOT_POS = None | |
| 469 | self.tmin = None |
|
470 | self.tmin = None | |
| 470 | self.tmax = None |
|
471 | self.tmax = None | |
| 471 |
|
472 | |||
| 472 | self.xmin = None |
|
473 | self.xmin = None | |
| 473 | self.xmax = None |
|
474 | self.xmax = None | |
| 474 |
|
475 | |||
| 475 | self.figfile = None |
|
476 | self.figfile = None | |
| 476 |
|
477 | |||
| 477 | def getSubplots(self): |
|
478 | def getSubplots(self): | |
| 478 |
|
479 | |||
| 479 | ncol = 1 |
|
480 | ncol = 1 | |
| 480 | nrow = self.nplots |
|
481 | nrow = self.nplots | |
| 481 |
|
482 | |||
| 482 | return nrow, ncol |
|
483 | return nrow, ncol | |
| 483 |
|
484 | |||
| 484 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
485 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 485 |
|
486 | |||
| 486 | self.__showprofile = showprofile |
|
487 | self.__showprofile = showprofile | |
| 487 | self.nplots = nplots |
|
488 | self.nplots = nplots | |
| 488 |
|
489 | |||
| 489 | ncolspan = 1 |
|
490 | ncolspan = 1 | |
| 490 | colspan = 1 |
|
491 | colspan = 1 | |
| 491 | if showprofile: |
|
492 | if showprofile: | |
| 492 | ncolspan = 7 |
|
493 | ncolspan = 7 | |
| 493 | colspan = 6 |
|
494 | colspan = 6 | |
| 494 | self.__nsubplots = 2 |
|
495 | self.__nsubplots = 2 | |
| 495 |
|
496 | |||
| 496 | self.createFigure(id = id, |
|
497 | self.createFigure(id = id, | |
| 497 | wintitle = wintitle, |
|
498 | wintitle = wintitle, | |
| 498 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
499 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 499 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
500 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 500 | show=show) |
|
501 | show=show) | |
| 501 |
|
502 | |||
| 502 | nrow, ncol = self.getSubplots() |
|
503 | nrow, ncol = self.getSubplots() | |
| 503 |
|
504 | |||
| 504 | counter = 0 |
|
505 | counter = 0 | |
| 505 | for y in range(nrow): |
|
506 | for y in range(nrow): | |
| 506 | for x in range(ncol): |
|
507 | for x in range(ncol): | |
| 507 |
|
508 | |||
| 508 | if counter >= self.nplots: |
|
509 | if counter >= self.nplots: | |
| 509 | break |
|
510 | break | |
| 510 |
|
511 | |||
| 511 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
512 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 512 |
|
513 | |||
| 513 | if showprofile: |
|
514 | if showprofile: | |
| 514 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
515 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 515 |
|
516 | |||
| 516 | counter += 1 |
|
517 | counter += 1 | |
| 517 |
|
518 | |||
| 518 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
519 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', | |
| 519 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
520 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 520 | timerange=None, |
|
521 | timerange=None, | |
| 521 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
522 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, | |
| 522 | server=None, folder=None, username=None, password=None, |
|
523 | server=None, folder=None, username=None, password=None, | |
| 523 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, **kwargs): |
|
524 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, **kwargs): | |
| 524 |
|
525 | |||
| 525 | """ |
|
526 | """ | |
| 526 |
|
527 | |||
| 527 | Input: |
|
528 | Input: | |
| 528 | dataOut : |
|
529 | dataOut : | |
| 529 | id : |
|
530 | id : | |
| 530 | wintitle : |
|
531 | wintitle : | |
| 531 | channelList : |
|
532 | channelList : | |
| 532 | showProfile : |
|
533 | showProfile : | |
| 533 | xmin : None, |
|
534 | xmin : None, | |
| 534 | xmax : None, |
|
535 | xmax : None, | |
| 535 | ymin : None, |
|
536 | ymin : None, | |
| 536 | ymax : None, |
|
537 | ymax : None, | |
| 537 | zmin : None, |
|
538 | zmin : None, | |
| 538 | zmax : None |
|
539 | zmax : None | |
| 539 | """ |
|
540 | """ | |
| 540 |
|
541 | |||
| 541 | colormap = kwargs.get('colormap', 'jet') |
|
542 | colormap = kwargs.get('colormap', 'jet') | |
| 542 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
543 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 543 | return |
|
544 | return | |
| 544 |
|
545 | |||
| 545 | if channelList == None: |
|
546 | if channelList == None: | |
| 546 | channelIndexList = dataOut.channelIndexList |
|
547 | channelIndexList = dataOut.channelIndexList | |
| 547 | else: |
|
548 | else: | |
| 548 | channelIndexList = [] |
|
549 | channelIndexList = [] | |
| 549 | for channel in channelList: |
|
550 | for channel in channelList: | |
| 550 | if channel not in dataOut.channelList: |
|
551 | if channel not in dataOut.channelList: | |
| 551 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
552 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 552 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
553 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 553 |
|
554 | |||
| 554 | if hasattr(dataOut, 'normFactor'): |
|
555 | if hasattr(dataOut, 'normFactor'): | |
| 555 | factor = dataOut.normFactor |
|
556 | factor = dataOut.normFactor | |
| 556 | else: |
|
557 | else: | |
| 557 | factor = 1 |
|
558 | factor = 1 | |
| 558 |
|
559 | |||
| 559 | # factor = dataOut.normFactor |
|
560 | # factor = dataOut.normFactor | |
| 560 | x = dataOut.getTimeRange() |
|
561 | x = dataOut.getTimeRange() | |
| 561 | y = dataOut.getHeiRange() |
|
562 | y = dataOut.getHeiRange() | |
| 562 |
|
563 | |||
| 563 | # z = dataOut.data_spc/factor |
|
564 | # z = dataOut.data_spc/factor | |
| 564 | # z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
565 | # z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 565 | # avg = numpy.average(z, axis=1) |
|
566 | # avg = numpy.average(z, axis=1) | |
| 566 | # avgdB = 10.*numpy.log10(avg) |
|
567 | # avgdB = 10.*numpy.log10(avg) | |
| 567 | avgdB = dataOut.getPower() |
|
568 | avgdB = dataOut.getPower() | |
| 568 |
|
569 | |||
| 569 | thisDatetime = dataOut.datatime |
|
570 | thisDatetime = dataOut.datatime | |
| 570 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
571 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 571 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
572 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 572 | xlabel = "" |
|
573 | xlabel = "" | |
| 573 | ylabel = "Range (Km)" |
|
574 | ylabel = "Range (Km)" | |
| 574 |
|
575 | |||
| 575 | update_figfile = False |
|
576 | update_figfile = False | |
| 576 |
|
577 | |||
| 577 | if dataOut.ltctime >= self.xmax: |
|
578 | if dataOut.ltctime >= self.xmax: | |
| 578 | self.counter_imagwr = wr_period |
|
579 | self.counter_imagwr = wr_period | |
| 579 | self.isConfig = False |
|
580 | self.isConfig = False | |
| 580 | update_figfile = True |
|
581 | update_figfile = True | |
| 581 |
|
582 | |||
| 582 | if not self.isConfig: |
|
583 | if not self.isConfig: | |
| 583 |
|
584 | |||
| 584 | nplots = len(channelIndexList) |
|
585 | nplots = len(channelIndexList) | |
| 585 |
|
586 | |||
| 586 | self.setup(id=id, |
|
587 | self.setup(id=id, | |
| 587 | nplots=nplots, |
|
588 | nplots=nplots, | |
| 588 | wintitle=wintitle, |
|
589 | wintitle=wintitle, | |
| 589 | showprofile=showprofile, |
|
590 | showprofile=showprofile, | |
| 590 | show=show) |
|
591 | show=show) | |
| 591 |
|
592 | |||
| 592 | if timerange != None: |
|
593 | if timerange != None: | |
| 593 | self.timerange = timerange |
|
594 | self.timerange = timerange | |
| 594 |
|
595 | |||
| 595 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
596 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 596 |
|
597 | |||
| 597 | noise = dataOut.noise/factor |
|
598 | noise = dataOut.noise/factor | |
| 598 | noisedB = 10*numpy.log10(noise) |
|
599 | noisedB = 10*numpy.log10(noise) | |
| 599 |
|
600 | |||
| 600 | if ymin == None: ymin = numpy.nanmin(y) |
|
601 | if ymin == None: ymin = numpy.nanmin(y) | |
| 601 | if ymax == None: ymax = numpy.nanmax(y) |
|
602 | if ymax == None: ymax = numpy.nanmax(y) | |
| 602 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
603 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
| 603 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
604 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
| 604 |
|
605 | |||
| 605 | self.FTP_WEI = ftp_wei |
|
606 | self.FTP_WEI = ftp_wei | |
| 606 | self.EXP_CODE = exp_code |
|
607 | self.EXP_CODE = exp_code | |
| 607 | self.SUB_EXP_CODE = sub_exp_code |
|
608 | self.SUB_EXP_CODE = sub_exp_code | |
| 608 | self.PLOT_POS = plot_pos |
|
609 | self.PLOT_POS = plot_pos | |
| 609 |
|
610 | |||
| 610 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
611 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 611 | self.isConfig = True |
|
612 | self.isConfig = True | |
| 612 | self.figfile = figfile |
|
613 | self.figfile = figfile | |
| 613 | update_figfile = True |
|
614 | update_figfile = True | |
| 614 |
|
615 | |||
| 615 | self.setWinTitle(title) |
|
616 | self.setWinTitle(title) | |
| 616 |
|
617 | |||
| 617 | for i in range(self.nplots): |
|
618 | for i in range(self.nplots): | |
| 618 | index = channelIndexList[i] |
|
619 | index = channelIndexList[i] | |
| 619 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
620 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 620 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
621 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 621 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
622 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
| 622 | axes = self.axesList[i*self.__nsubplots] |
|
623 | axes = self.axesList[i*self.__nsubplots] | |
| 623 | zdB = avgdB[index].reshape((1,-1)) |
|
624 | zdB = avgdB[index].reshape((1,-1)) | |
| 624 | axes.pcolorbuffer(x, y, zdB, |
|
625 | axes.pcolorbuffer(x, y, zdB, | |
| 625 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
626 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 626 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
627 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 627 | ticksize=9, cblabel='', cbsize="1%", colormap=colormap) |
|
628 | ticksize=9, cblabel='', cbsize="1%", colormap=colormap) | |
| 628 |
|
629 | |||
| 629 | if self.__showprofile: |
|
630 | if self.__showprofile: | |
| 630 | axes = self.axesList[i*self.__nsubplots +1] |
|
631 | axes = self.axesList[i*self.__nsubplots +1] | |
| 631 | axes.pline(avgdB[index], y, |
|
632 | axes.pline(avgdB[index], y, | |
| 632 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
633 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 633 | xlabel='dB', ylabel='', title='', |
|
634 | xlabel='dB', ylabel='', title='', | |
| 634 | ytick_visible=False, |
|
635 | ytick_visible=False, | |
| 635 | grid='x') |
|
636 | grid='x') | |
| 636 |
|
637 | |||
| 637 | self.draw() |
|
638 | self.draw() | |
| 638 |
|
639 | |||
| 639 | self.save(figpath=figpath, |
|
640 | self.save(figpath=figpath, | |
| 640 | figfile=figfile, |
|
641 | figfile=figfile, | |
| 641 | save=save, |
|
642 | save=save, | |
| 642 | ftp=ftp, |
|
643 | ftp=ftp, | |
| 643 | wr_period=wr_period, |
|
644 | wr_period=wr_period, | |
| 644 | thisDatetime=thisDatetime, |
|
645 | thisDatetime=thisDatetime, | |
| 645 | update_figfile=update_figfile) |
|
646 | update_figfile=update_figfile) | |
| 646 |
|
647 | |||
| 647 | class CoherenceMap(Figure): |
|
648 | class CoherenceMap(Figure): | |
| 648 | isConfig = None |
|
649 | isConfig = None | |
| 649 | __nsubplots = None |
|
650 | __nsubplots = None | |
| 650 |
|
651 | |||
| 651 | WIDTHPROF = None |
|
652 | WIDTHPROF = None | |
| 652 | HEIGHTPROF = None |
|
653 | HEIGHTPROF = None | |
| 653 | PREFIX = 'cmap' |
|
654 | PREFIX = 'cmap' | |
| 654 |
|
655 | |||
|
|
656 | parameters = { | |||
|
|
657 | 'id': 'string', | |||
|
|
658 | 'wintitle': 'string', | |||
|
|
659 | 'pairsList': 'pairsLists', | |||
|
|
660 | 'showprofile': 'boolean', | |||
|
|
661 | 'xmin': 'float', | |||
|
|
662 | 'xmax': 'float', | |||
|
|
663 | 'ymin': 'float', | |||
|
|
664 | 'ymax': 'float', | |||
|
|
665 | 'zmin': 'float', | |||
|
|
666 | 'zmax': 'float', | |||
|
|
667 | 'timerange': 'float', | |||
|
|
668 | 'phase_min': 'float', | |||
|
|
669 | 'phase_max': 'float', | |||
|
|
670 | 'save': 'boolean', | |||
|
|
671 | 'figpath': 'string', | |||
|
|
672 | 'figfile': 'string', | |||
|
|
673 | 'ftp': 'boolean', | |||
|
|
674 | 'wr_period': 'int', | |||
|
|
675 | 'coherence_cmap': 'colormap', | |||
|
|
676 | 'phase_cmap': 'colormap', | |||
|
|
677 | 'show': 'boolean', | |||
|
|
678 | 'server': 'string', | |||
|
|
679 | 'folder': 'string', | |||
|
|
680 | 'username': 'string', | |||
|
|
681 | 'password': 'string', | |||
|
|
682 | 'ftp_wei': 'int', | |||
|
|
683 | 'exp_code': 'int', | |||
|
|
684 | 'sub_exp_code': 'int', | |||
|
|
685 | 'plot_pos': 'int', | |||
|
|
686 | } | |||
|
|
687 | ||||
| 655 | def __init__(self, **kwargs): |
|
688 | def __init__(self, **kwargs): | |
| 656 | Figure.__init__(self, **kwargs) |
|
689 | Figure.__init__(self, **kwargs) | |
| 657 | self.timerange = 2*60*60 |
|
690 | self.timerange = 2*60*60 | |
| 658 | self.isConfig = False |
|
691 | self.isConfig = False | |
| 659 | self.__nsubplots = 1 |
|
692 | self.__nsubplots = 1 | |
| 660 |
|
693 | |||
| 661 | self.WIDTH = 800 |
|
694 | self.WIDTH = 800 | |
| 662 | self.HEIGHT = 180 |
|
695 | self.HEIGHT = 180 | |
| 663 | self.WIDTHPROF = 120 |
|
696 | self.WIDTHPROF = 120 | |
| 664 | self.HEIGHTPROF = 0 |
|
697 | self.HEIGHTPROF = 0 | |
| 665 | self.counter_imagwr = 0 |
|
698 | self.counter_imagwr = 0 | |
| 666 |
|
699 | |||
| 667 | self.PLOT_CODE = COH_CODE |
|
700 | self.PLOT_CODE = COH_CODE | |
| 668 |
|
701 | |||
| 669 | self.FTP_WEI = None |
|
702 | self.FTP_WEI = None | |
| 670 | self.EXP_CODE = None |
|
703 | self.EXP_CODE = None | |
| 671 | self.SUB_EXP_CODE = None |
|
704 | self.SUB_EXP_CODE = None | |
| 672 | self.PLOT_POS = None |
|
705 | self.PLOT_POS = None | |
| 673 | self.counter_imagwr = 0 |
|
706 | self.counter_imagwr = 0 | |
| 674 |
|
707 | |||
| 675 | self.xmin = None |
|
708 | self.xmin = None | |
| 676 | self.xmax = None |
|
709 | self.xmax = None | |
| 677 |
|
710 | |||
| 678 | def getSubplots(self): |
|
711 | def getSubplots(self): | |
| 679 | ncol = 1 |
|
712 | ncol = 1 | |
| 680 | nrow = self.nplots*2 |
|
713 | nrow = self.nplots*2 | |
| 681 |
|
714 | |||
| 682 | return nrow, ncol |
|
715 | return nrow, ncol | |
| 683 |
|
716 | |||
| 684 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
717 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 685 | self.__showprofile = showprofile |
|
718 | self.__showprofile = showprofile | |
| 686 | self.nplots = nplots |
|
719 | self.nplots = nplots | |
| 687 |
|
720 | |||
| 688 | ncolspan = 1 |
|
721 | ncolspan = 1 | |
| 689 | colspan = 1 |
|
722 | colspan = 1 | |
| 690 | if showprofile: |
|
723 | if showprofile: | |
| 691 | ncolspan = 7 |
|
724 | ncolspan = 7 | |
| 692 | colspan = 6 |
|
725 | colspan = 6 | |
| 693 | self.__nsubplots = 2 |
|
726 | self.__nsubplots = 2 | |
| 694 |
|
727 | |||
| 695 | self.createFigure(id = id, |
|
728 | self.createFigure(id = id, | |
| 696 | wintitle = wintitle, |
|
729 | wintitle = wintitle, | |
| 697 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
730 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 698 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
731 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 699 | show=True) |
|
732 | show=True) | |
| 700 |
|
733 | |||
| 701 | nrow, ncol = self.getSubplots() |
|
734 | nrow, ncol = self.getSubplots() | |
| 702 |
|
735 | |||
| 703 | for y in range(nrow): |
|
736 | for y in range(nrow): | |
| 704 | for x in range(ncol): |
|
737 | for x in range(ncol): | |
| 705 |
|
738 | |||
| 706 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
739 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 707 |
|
740 | |||
| 708 | if showprofile: |
|
741 | if showprofile: | |
| 709 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
742 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 710 |
|
743 | |||
| 711 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
744 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', | |
| 712 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
745 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 713 | timerange=None, phase_min=None, phase_max=None, |
|
746 | timerange=None, phase_min=None, phase_max=None, | |
| 714 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
747 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, | |
| 715 | coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
748 | coherence_cmap='jet', phase_cmap='RdBu_r', show=True, | |
| 716 | server=None, folder=None, username=None, password=None, |
|
749 | server=None, folder=None, username=None, password=None, | |
| 717 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
750 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 718 |
|
751 | |||
| 719 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
752 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 720 | return |
|
753 | return | |
| 721 |
|
754 | |||
| 722 | if pairsList == None: |
|
755 | if pairsList == None: | |
| 723 | pairsIndexList = dataOut.pairsIndexList |
|
756 | pairsIndexList = dataOut.pairsIndexList | |
| 724 | else: |
|
757 | else: | |
| 725 | pairsIndexList = [] |
|
758 | pairsIndexList = [] | |
| 726 | for pair in pairsList: |
|
759 | for pair in pairsList: | |
| 727 | if pair not in dataOut.pairsList: |
|
760 | if pair not in dataOut.pairsList: | |
| 728 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
761 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) | |
| 729 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
762 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
| 730 |
|
763 | |||
| 731 | if pairsIndexList == []: |
|
764 | if pairsIndexList == []: | |
| 732 | return |
|
765 | return | |
| 733 |
|
766 | |||
| 734 | if len(pairsIndexList) > 4: |
|
767 | if len(pairsIndexList) > 4: | |
| 735 | pairsIndexList = pairsIndexList[0:4] |
|
768 | pairsIndexList = pairsIndexList[0:4] | |
| 736 |
|
769 | |||
| 737 | if phase_min == None: |
|
770 | if phase_min == None: | |
| 738 | phase_min = -180 |
|
771 | phase_min = -180 | |
| 739 | if phase_max == None: |
|
772 | if phase_max == None: | |
| 740 | phase_max = 180 |
|
773 | phase_max = 180 | |
| 741 |
|
774 | |||
| 742 | x = dataOut.getTimeRange() |
|
775 | x = dataOut.getTimeRange() | |
| 743 | y = dataOut.getHeiRange() |
|
776 | y = dataOut.getHeiRange() | |
| 744 |
|
777 | |||
| 745 | thisDatetime = dataOut.datatime |
|
778 | thisDatetime = dataOut.datatime | |
| 746 |
|
779 | |||
| 747 | title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
780 | title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 748 | xlabel = "" |
|
781 | xlabel = "" | |
| 749 | ylabel = "Range (Km)" |
|
782 | ylabel = "Range (Km)" | |
| 750 | update_figfile = False |
|
783 | update_figfile = False | |
| 751 |
|
784 | |||
| 752 | if not self.isConfig: |
|
785 | if not self.isConfig: | |
| 753 | nplots = len(pairsIndexList) |
|
786 | nplots = len(pairsIndexList) | |
| 754 | self.setup(id=id, |
|
787 | self.setup(id=id, | |
| 755 | nplots=nplots, |
|
788 | nplots=nplots, | |
| 756 | wintitle=wintitle, |
|
789 | wintitle=wintitle, | |
| 757 | showprofile=showprofile, |
|
790 | showprofile=showprofile, | |
| 758 | show=show) |
|
791 | show=show) | |
| 759 |
|
792 | |||
| 760 | if timerange != None: |
|
793 | if timerange != None: | |
| 761 | self.timerange = timerange |
|
794 | self.timerange = timerange | |
| 762 |
|
795 | |||
| 763 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
796 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 764 |
|
797 | |||
| 765 | if ymin == None: ymin = numpy.nanmin(y) |
|
798 | if ymin == None: ymin = numpy.nanmin(y) | |
| 766 | if ymax == None: ymax = numpy.nanmax(y) |
|
799 | if ymax == None: ymax = numpy.nanmax(y) | |
| 767 | if zmin == None: zmin = 0. |
|
800 | if zmin == None: zmin = 0. | |
| 768 | if zmax == None: zmax = 1. |
|
801 | if zmax == None: zmax = 1. | |
| 769 |
|
802 | |||
| 770 | self.FTP_WEI = ftp_wei |
|
803 | self.FTP_WEI = ftp_wei | |
| 771 | self.EXP_CODE = exp_code |
|
804 | self.EXP_CODE = exp_code | |
| 772 | self.SUB_EXP_CODE = sub_exp_code |
|
805 | self.SUB_EXP_CODE = sub_exp_code | |
| 773 | self.PLOT_POS = plot_pos |
|
806 | self.PLOT_POS = plot_pos | |
| 774 |
|
807 | |||
| 775 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
808 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 776 |
|
809 | |||
| 777 | self.isConfig = True |
|
810 | self.isConfig = True | |
| 778 | update_figfile = True |
|
811 | update_figfile = True | |
| 779 |
|
812 | |||
| 780 | self.setWinTitle(title) |
|
813 | self.setWinTitle(title) | |
| 781 |
|
814 | |||
| 782 | for i in range(self.nplots): |
|
815 | for i in range(self.nplots): | |
| 783 |
|
816 | |||
| 784 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
817 | pair = dataOut.pairsList[pairsIndexList[i]] | |
| 785 |
|
818 | |||
| 786 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) |
|
819 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) | |
| 787 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) |
|
820 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) | |
| 788 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) |
|
821 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) | |
| 789 |
|
822 | |||
| 790 |
|
823 | |||
| 791 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
824 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) | |
| 792 | coherence = numpy.abs(avgcoherenceComplex) |
|
825 | coherence = numpy.abs(avgcoherenceComplex) | |
| 793 |
|
826 | |||
| 794 | z = coherence.reshape((1,-1)) |
|
827 | z = coherence.reshape((1,-1)) | |
| 795 |
|
828 | |||
| 796 | counter = 0 |
|
829 | counter = 0 | |
| 797 |
|
830 | |||
| 798 | title = "Coherence Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
831 | title = "Coherence Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 799 | axes = self.axesList[i*self.__nsubplots*2] |
|
832 | axes = self.axesList[i*self.__nsubplots*2] | |
| 800 | axes.pcolorbuffer(x, y, z, |
|
833 | axes.pcolorbuffer(x, y, z, | |
| 801 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
834 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 802 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
835 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 803 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") |
|
836 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") | |
| 804 |
|
837 | |||
| 805 | if self.__showprofile: |
|
838 | if self.__showprofile: | |
| 806 | counter += 1 |
|
839 | counter += 1 | |
| 807 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
840 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
| 808 | axes.pline(coherence, y, |
|
841 | axes.pline(coherence, y, | |
| 809 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
842 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 810 | xlabel='', ylabel='', title='', ticksize=7, |
|
843 | xlabel='', ylabel='', title='', ticksize=7, | |
| 811 | ytick_visible=False, nxticks=5, |
|
844 | ytick_visible=False, nxticks=5, | |
| 812 | grid='x') |
|
845 | grid='x') | |
| 813 |
|
846 | |||
| 814 | counter += 1 |
|
847 | counter += 1 | |
| 815 |
|
848 | |||
| 816 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
849 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi | |
| 817 |
|
850 | |||
| 818 | z = phase.reshape((1,-1)) |
|
851 | z = phase.reshape((1,-1)) | |
| 819 |
|
852 | |||
| 820 | title = "Phase Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
853 | title = "Phase Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 821 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
854 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
| 822 | axes.pcolorbuffer(x, y, z, |
|
855 | axes.pcolorbuffer(x, y, z, | |
| 823 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
856 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, | |
| 824 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
857 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 825 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") |
|
858 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") | |
| 826 |
|
859 | |||
| 827 | if self.__showprofile: |
|
860 | if self.__showprofile: | |
| 828 | counter += 1 |
|
861 | counter += 1 | |
| 829 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
862 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
| 830 | axes.pline(phase, y, |
|
863 | axes.pline(phase, y, | |
| 831 | xmin=phase_min, xmax=phase_max, ymin=ymin, ymax=ymax, |
|
864 | xmin=phase_min, xmax=phase_max, ymin=ymin, ymax=ymax, | |
| 832 | xlabel='', ylabel='', title='', ticksize=7, |
|
865 | xlabel='', ylabel='', title='', ticksize=7, | |
| 833 | ytick_visible=False, nxticks=4, |
|
866 | ytick_visible=False, nxticks=4, | |
| 834 | grid='x') |
|
867 | grid='x') | |
| 835 |
|
868 | |||
| 836 | self.draw() |
|
869 | self.draw() | |
| 837 |
|
870 | |||
| 838 | if dataOut.ltctime >= self.xmax: |
|
871 | if dataOut.ltctime >= self.xmax: | |
| 839 | self.counter_imagwr = wr_period |
|
872 | self.counter_imagwr = wr_period | |
| 840 | self.isConfig = False |
|
873 | self.isConfig = False | |
| 841 | update_figfile = True |
|
874 | update_figfile = True | |
| 842 |
|
875 | |||
| 843 | self.save(figpath=figpath, |
|
876 | self.save(figpath=figpath, | |
| 844 | figfile=figfile, |
|
877 | figfile=figfile, | |
| 845 | save=save, |
|
878 | save=save, | |
| 846 | ftp=ftp, |
|
879 | ftp=ftp, | |
| 847 | wr_period=wr_period, |
|
880 | wr_period=wr_period, | |
| 848 | thisDatetime=thisDatetime, |
|
881 | thisDatetime=thisDatetime, | |
| 849 | update_figfile=update_figfile) |
|
882 | update_figfile=update_figfile) | |
| 850 |
|
883 | |||
| 851 | class PowerProfilePlot(Figure): |
|
884 | class PowerProfilePlot(Figure): | |
| 852 |
|
885 | |||
| 853 | isConfig = None |
|
886 | isConfig = None | |
| 854 | __nsubplots = None |
|
887 | __nsubplots = None | |
| 855 |
|
888 | |||
| 856 | WIDTHPROF = None |
|
889 | WIDTHPROF = None | |
| 857 | HEIGHTPROF = None |
|
890 | HEIGHTPROF = None | |
| 858 | PREFIX = 'spcprofile' |
|
891 | PREFIX = 'spcprofile' | |
| 859 |
|
892 | |||
| 860 | def __init__(self, **kwargs): |
|
893 | def __init__(self, **kwargs): | |
| 861 | Figure.__init__(self, **kwargs) |
|
894 | Figure.__init__(self, **kwargs) | |
| 862 | self.isConfig = False |
|
895 | self.isConfig = False | |
| 863 | self.__nsubplots = 1 |
|
896 | self.__nsubplots = 1 | |
| 864 |
|
897 | |||
| 865 | self.PLOT_CODE = POWER_CODE |
|
898 | self.PLOT_CODE = POWER_CODE | |
| 866 |
|
899 | |||
| 867 | self.WIDTH = 300 |
|
900 | self.WIDTH = 300 | |
| 868 | self.HEIGHT = 500 |
|
901 | self.HEIGHT = 500 | |
| 869 | self.counter_imagwr = 0 |
|
902 | self.counter_imagwr = 0 | |
| 870 |
|
903 | |||
| 871 | def getSubplots(self): |
|
904 | def getSubplots(self): | |
| 872 | ncol = 1 |
|
905 | ncol = 1 | |
| 873 | nrow = 1 |
|
906 | nrow = 1 | |
| 874 |
|
907 | |||
| 875 | return nrow, ncol |
|
908 | return nrow, ncol | |
| 876 |
|
909 | |||
| 877 | def setup(self, id, nplots, wintitle, show): |
|
910 | def setup(self, id, nplots, wintitle, show): | |
| 878 |
|
911 | |||
| 879 | self.nplots = nplots |
|
912 | self.nplots = nplots | |
| 880 |
|
913 | |||
| 881 | ncolspan = 1 |
|
914 | ncolspan = 1 | |
| 882 | colspan = 1 |
|
915 | colspan = 1 | |
| 883 |
|
916 | |||
| 884 | self.createFigure(id = id, |
|
917 | self.createFigure(id = id, | |
| 885 | wintitle = wintitle, |
|
918 | wintitle = wintitle, | |
| 886 | widthplot = self.WIDTH, |
|
919 | widthplot = self.WIDTH, | |
| 887 | heightplot = self.HEIGHT, |
|
920 | heightplot = self.HEIGHT, | |
| 888 | show=show) |
|
921 | show=show) | |
| 889 |
|
922 | |||
| 890 | nrow, ncol = self.getSubplots() |
|
923 | nrow, ncol = self.getSubplots() | |
| 891 |
|
924 | |||
| 892 | counter = 0 |
|
925 | counter = 0 | |
| 893 | for y in range(nrow): |
|
926 | for y in range(nrow): | |
| 894 | for x in range(ncol): |
|
927 | for x in range(ncol): | |
| 895 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
928 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 896 |
|
929 | |||
| 897 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
930 | def run(self, dataOut, id, wintitle="", channelList=None, | |
| 898 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
931 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 899 | save=False, figpath='./', figfile=None, show=True, |
|
932 | save=False, figpath='./', figfile=None, show=True, | |
| 900 | ftp=False, wr_period=1, server=None, |
|
933 | ftp=False, wr_period=1, server=None, | |
| 901 | folder=None, username=None, password=None): |
|
934 | folder=None, username=None, password=None): | |
| 902 |
|
935 | |||
| 903 |
|
936 | |||
| 904 | if channelList == None: |
|
937 | if channelList == None: | |
| 905 | channelIndexList = dataOut.channelIndexList |
|
938 | channelIndexList = dataOut.channelIndexList | |
| 906 | channelList = dataOut.channelList |
|
939 | channelList = dataOut.channelList | |
| 907 | else: |
|
940 | else: | |
| 908 | channelIndexList = [] |
|
941 | channelIndexList = [] | |
| 909 | for channel in channelList: |
|
942 | for channel in channelList: | |
| 910 | if channel not in dataOut.channelList: |
|
943 | if channel not in dataOut.channelList: | |
| 911 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
944 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 912 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
945 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 913 |
|
946 | |||
| 914 | factor = dataOut.normFactor |
|
947 | factor = dataOut.normFactor | |
| 915 |
|
948 | |||
| 916 | y = dataOut.getHeiRange() |
|
949 | y = dataOut.getHeiRange() | |
| 917 |
|
950 | |||
| 918 | #for voltage |
|
951 | #for voltage | |
| 919 | if dataOut.type == 'Voltage': |
|
952 | if dataOut.type == 'Voltage': | |
| 920 | x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
953 | x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) | |
| 921 | x = x.real |
|
954 | x = x.real | |
| 922 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
955 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) | |
| 923 |
|
956 | |||
| 924 | #for spectra |
|
957 | #for spectra | |
| 925 | if dataOut.type == 'Spectra': |
|
958 | if dataOut.type == 'Spectra': | |
| 926 | x = dataOut.data_spc[channelIndexList,:,:]/factor |
|
959 | x = dataOut.data_spc[channelIndexList,:,:]/factor | |
| 927 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
960 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) | |
| 928 | x = numpy.average(x, axis=1) |
|
961 | x = numpy.average(x, axis=1) | |
| 929 |
|
962 | |||
| 930 |
|
963 | |||
| 931 | xdB = 10*numpy.log10(x) |
|
964 | xdB = 10*numpy.log10(x) | |
| 932 |
|
965 | |||
| 933 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
966 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 934 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
967 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 935 | xlabel = "dB" |
|
968 | xlabel = "dB" | |
| 936 | ylabel = "Range (Km)" |
|
969 | ylabel = "Range (Km)" | |
| 937 |
|
970 | |||
| 938 | if not self.isConfig: |
|
971 | if not self.isConfig: | |
| 939 |
|
972 | |||
| 940 | nplots = 1 |
|
973 | nplots = 1 | |
| 941 |
|
974 | |||
| 942 | self.setup(id=id, |
|
975 | self.setup(id=id, | |
| 943 | nplots=nplots, |
|
976 | nplots=nplots, | |
| 944 | wintitle=wintitle, |
|
977 | wintitle=wintitle, | |
| 945 | show=show) |
|
978 | show=show) | |
| 946 |
|
979 | |||
| 947 | if ymin == None: ymin = numpy.nanmin(y) |
|
980 | if ymin == None: ymin = numpy.nanmin(y) | |
| 948 | if ymax == None: ymax = numpy.nanmax(y) |
|
981 | if ymax == None: ymax = numpy.nanmax(y) | |
| 949 | if xmin == None: xmin = numpy.nanmin(xdB)*0.9 |
|
982 | if xmin == None: xmin = numpy.nanmin(xdB)*0.9 | |
| 950 | if xmax == None: xmax = numpy.nanmax(xdB)*1.1 |
|
983 | if xmax == None: xmax = numpy.nanmax(xdB)*1.1 | |
| 951 |
|
984 | |||
| 952 | self.isConfig = True |
|
985 | self.isConfig = True | |
| 953 |
|
986 | |||
| 954 | self.setWinTitle(title) |
|
987 | self.setWinTitle(title) | |
| 955 |
|
988 | |||
| 956 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
989 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 957 | axes = self.axesList[0] |
|
990 | axes = self.axesList[0] | |
| 958 |
|
991 | |||
| 959 | legendlabels = ["channel %d"%x for x in channelList] |
|
992 | legendlabels = ["channel %d"%x for x in channelList] | |
| 960 | axes.pmultiline(xdB, y, |
|
993 | axes.pmultiline(xdB, y, | |
| 961 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
994 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
| 962 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
995 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, | |
| 963 | ytick_visible=True, nxticks=5, |
|
996 | ytick_visible=True, nxticks=5, | |
| 964 | grid='x') |
|
997 | grid='x') | |
| 965 |
|
998 | |||
| 966 | self.draw() |
|
999 | self.draw() | |
| 967 |
|
1000 | |||
| 968 | self.save(figpath=figpath, |
|
1001 | self.save(figpath=figpath, | |
| 969 | figfile=figfile, |
|
1002 | figfile=figfile, | |
| 970 | save=save, |
|
1003 | save=save, | |
| 971 | ftp=ftp, |
|
1004 | ftp=ftp, | |
| 972 | wr_period=wr_period, |
|
1005 | wr_period=wr_period, | |
| 973 | thisDatetime=thisDatetime) |
|
1006 | thisDatetime=thisDatetime) | |
| 974 |
|
1007 | |||
| 975 | class SpectraCutPlot(Figure): |
|
1008 | class SpectraCutPlot(Figure): | |
| 976 |
|
1009 | |||
| 977 | isConfig = None |
|
1010 | isConfig = None | |
| 978 | __nsubplots = None |
|
1011 | __nsubplots = None | |
| 979 |
|
1012 | |||
| 980 | WIDTHPROF = None |
|
1013 | WIDTHPROF = None | |
| 981 | HEIGHTPROF = None |
|
1014 | HEIGHTPROF = None | |
| 982 | PREFIX = 'spc_cut' |
|
1015 | PREFIX = 'spc_cut' | |
| 983 |
|
1016 | |||
| 984 | def __init__(self, **kwargs): |
|
1017 | def __init__(self, **kwargs): | |
| 985 | Figure.__init__(self, **kwargs) |
|
1018 | Figure.__init__(self, **kwargs) | |
| 986 | self.isConfig = False |
|
1019 | self.isConfig = False | |
| 987 | self.__nsubplots = 1 |
|
1020 | self.__nsubplots = 1 | |
| 988 |
|
1021 | |||
| 989 | self.PLOT_CODE = POWER_CODE |
|
1022 | self.PLOT_CODE = POWER_CODE | |
| 990 |
|
1023 | |||
| 991 | self.WIDTH = 700 |
|
1024 | self.WIDTH = 700 | |
| 992 | self.HEIGHT = 500 |
|
1025 | self.HEIGHT = 500 | |
| 993 | self.counter_imagwr = 0 |
|
1026 | self.counter_imagwr = 0 | |
| 994 |
|
1027 | |||
| 995 | def getSubplots(self): |
|
1028 | def getSubplots(self): | |
| 996 | ncol = 1 |
|
1029 | ncol = 1 | |
| 997 | nrow = 1 |
|
1030 | nrow = 1 | |
| 998 |
|
1031 | |||
| 999 | return nrow, ncol |
|
1032 | return nrow, ncol | |
| 1000 |
|
1033 | |||
| 1001 | def setup(self, id, nplots, wintitle, show): |
|
1034 | def setup(self, id, nplots, wintitle, show): | |
| 1002 |
|
1035 | |||
| 1003 | self.nplots = nplots |
|
1036 | self.nplots = nplots | |
| 1004 |
|
1037 | |||
| 1005 | ncolspan = 1 |
|
1038 | ncolspan = 1 | |
| 1006 | colspan = 1 |
|
1039 | colspan = 1 | |
| 1007 |
|
1040 | |||
| 1008 | self.createFigure(id = id, |
|
1041 | self.createFigure(id = id, | |
| 1009 | wintitle = wintitle, |
|
1042 | wintitle = wintitle, | |
| 1010 | widthplot = self.WIDTH, |
|
1043 | widthplot = self.WIDTH, | |
| 1011 | heightplot = self.HEIGHT, |
|
1044 | heightplot = self.HEIGHT, | |
| 1012 | show=show) |
|
1045 | show=show) | |
| 1013 |
|
1046 | |||
| 1014 | nrow, ncol = self.getSubplots() |
|
1047 | nrow, ncol = self.getSubplots() | |
| 1015 |
|
1048 | |||
| 1016 | counter = 0 |
|
1049 | counter = 0 | |
| 1017 | for y in range(nrow): |
|
1050 | for y in range(nrow): | |
| 1018 | for x in range(ncol): |
|
1051 | for x in range(ncol): | |
| 1019 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
1052 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 1020 |
|
1053 | |||
| 1021 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
1054 | def run(self, dataOut, id, wintitle="", channelList=None, | |
| 1022 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
1055 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 1023 | save=False, figpath='./', figfile=None, show=True, |
|
1056 | save=False, figpath='./', figfile=None, show=True, | |
| 1024 | ftp=False, wr_period=1, server=None, |
|
1057 | ftp=False, wr_period=1, server=None, | |
| 1025 | folder=None, username=None, password=None, |
|
1058 | folder=None, username=None, password=None, | |
| 1026 | xaxis="frequency"): |
|
1059 | xaxis="frequency"): | |
| 1027 |
|
1060 | |||
| 1028 |
|
1061 | |||
| 1029 | if channelList == None: |
|
1062 | if channelList == None: | |
| 1030 | channelIndexList = dataOut.channelIndexList |
|
1063 | channelIndexList = dataOut.channelIndexList | |
| 1031 | channelList = dataOut.channelList |
|
1064 | channelList = dataOut.channelList | |
| 1032 | else: |
|
1065 | else: | |
| 1033 | channelIndexList = [] |
|
1066 | channelIndexList = [] | |
| 1034 | for channel in channelList: |
|
1067 | for channel in channelList: | |
| 1035 | if channel not in dataOut.channelList: |
|
1068 | if channel not in dataOut.channelList: | |
| 1036 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
1069 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 1037 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
1070 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 1038 |
|
1071 | |||
| 1039 | factor = dataOut.normFactor |
|
1072 | factor = dataOut.normFactor | |
| 1040 |
|
1073 | |||
| 1041 | y = dataOut.getHeiRange() |
|
1074 | y = dataOut.getHeiRange() | |
| 1042 |
|
1075 | |||
| 1043 | z = dataOut.data_spc/factor |
|
1076 | z = dataOut.data_spc/factor | |
| 1044 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
1077 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 1045 |
|
1078 | |||
| 1046 | hei_index = numpy.arange(25)*3 + 20 |
|
1079 | hei_index = numpy.arange(25)*3 + 20 | |
| 1047 |
|
1080 | |||
| 1048 | if xaxis == "frequency": |
|
1081 | if xaxis == "frequency": | |
| 1049 | x = dataOut.getFreqRange()/1000. |
|
1082 | x = dataOut.getFreqRange()/1000. | |
| 1050 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
1083 | zdB = 10*numpy.log10(z[0,:,hei_index]) | |
| 1051 | xlabel = "Frequency (kHz)" |
|
1084 | xlabel = "Frequency (kHz)" | |
| 1052 | ylabel = "Power (dB)" |
|
1085 | ylabel = "Power (dB)" | |
| 1053 |
|
1086 | |||
| 1054 | elif xaxis == "time": |
|
1087 | elif xaxis == "time": | |
| 1055 | x = dataOut.getAcfRange() |
|
1088 | x = dataOut.getAcfRange() | |
| 1056 | zdB = z[0,:,hei_index] |
|
1089 | zdB = z[0,:,hei_index] | |
| 1057 | xlabel = "Time (ms)" |
|
1090 | xlabel = "Time (ms)" | |
| 1058 | ylabel = "ACF" |
|
1091 | ylabel = "ACF" | |
| 1059 |
|
1092 | |||
| 1060 | else: |
|
1093 | else: | |
| 1061 | x = dataOut.getVelRange() |
|
1094 | x = dataOut.getVelRange() | |
| 1062 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
1095 | zdB = 10*numpy.log10(z[0,:,hei_index]) | |
| 1063 | xlabel = "Velocity (m/s)" |
|
1096 | xlabel = "Velocity (m/s)" | |
| 1064 | ylabel = "Power (dB)" |
|
1097 | ylabel = "Power (dB)" | |
| 1065 |
|
1098 | |||
| 1066 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
1099 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 1067 | title = wintitle + " Range Cuts %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1100 | title = wintitle + " Range Cuts %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1068 |
|
1101 | |||
| 1069 | if not self.isConfig: |
|
1102 | if not self.isConfig: | |
| 1070 |
|
1103 | |||
| 1071 | nplots = 1 |
|
1104 | nplots = 1 | |
| 1072 |
|
1105 | |||
| 1073 | self.setup(id=id, |
|
1106 | self.setup(id=id, | |
| 1074 | nplots=nplots, |
|
1107 | nplots=nplots, | |
| 1075 | wintitle=wintitle, |
|
1108 | wintitle=wintitle, | |
| 1076 | show=show) |
|
1109 | show=show) | |
| 1077 |
|
1110 | |||
| 1078 | if xmin == None: xmin = numpy.nanmin(x)*0.9 |
|
1111 | if xmin == None: xmin = numpy.nanmin(x)*0.9 | |
| 1079 | if xmax == None: xmax = numpy.nanmax(x)*1.1 |
|
1112 | if xmax == None: xmax = numpy.nanmax(x)*1.1 | |
| 1080 | if ymin == None: ymin = numpy.nanmin(zdB) |
|
1113 | if ymin == None: ymin = numpy.nanmin(zdB) | |
| 1081 | if ymax == None: ymax = numpy.nanmax(zdB) |
|
1114 | if ymax == None: ymax = numpy.nanmax(zdB) | |
| 1082 |
|
1115 | |||
| 1083 | self.isConfig = True |
|
1116 | self.isConfig = True | |
| 1084 |
|
1117 | |||
| 1085 | self.setWinTitle(title) |
|
1118 | self.setWinTitle(title) | |
| 1086 |
|
1119 | |||
| 1087 | title = "Spectra Cuts: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
1120 | title = "Spectra Cuts: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 1088 | axes = self.axesList[0] |
|
1121 | axes = self.axesList[0] | |
| 1089 |
|
1122 | |||
| 1090 | legendlabels = ["Range = %dKm" %y[i] for i in hei_index] |
|
1123 | legendlabels = ["Range = %dKm" %y[i] for i in hei_index] | |
| 1091 |
|
1124 | |||
| 1092 | axes.pmultilineyaxis( x, zdB, |
|
1125 | axes.pmultilineyaxis( x, zdB, | |
| 1093 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
1126 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
| 1094 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
1127 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, | |
| 1095 | ytick_visible=True, nxticks=5, |
|
1128 | ytick_visible=True, nxticks=5, | |
| 1096 | grid='x') |
|
1129 | grid='x') | |
| 1097 |
|
1130 | |||
| 1098 | self.draw() |
|
1131 | self.draw() | |
| 1099 |
|
1132 | |||
| 1100 | self.save(figpath=figpath, |
|
1133 | self.save(figpath=figpath, | |
| 1101 | figfile=figfile, |
|
1134 | figfile=figfile, | |
| 1102 | save=save, |
|
1135 | save=save, | |
| 1103 | ftp=ftp, |
|
1136 | ftp=ftp, | |
| 1104 | wr_period=wr_period, |
|
1137 | wr_period=wr_period, | |
| 1105 | thisDatetime=thisDatetime) |
|
1138 | thisDatetime=thisDatetime) | |
| 1106 |
|
1139 | |||
| 1107 | class Noise(Figure): |
|
1140 | class Noise(Figure): | |
| 1108 |
|
1141 | |||
| 1109 | isConfig = None |
|
1142 | isConfig = None | |
| 1110 | __nsubplots = None |
|
1143 | __nsubplots = None | |
| 1111 |
|
1144 | |||
| 1112 | PREFIX = 'noise' |
|
1145 | PREFIX = 'noise' | |
| 1113 |
|
1146 | |||
| 1114 | def __init__(self, **kwargs): |
|
1147 | def __init__(self, **kwargs): | |
| 1115 | Figure.__init__(self, **kwargs) |
|
1148 | Figure.__init__(self, **kwargs) | |
| 1116 | self.timerange = 24*60*60 |
|
1149 | self.timerange = 24*60*60 | |
| 1117 | self.isConfig = False |
|
1150 | self.isConfig = False | |
| 1118 | self.__nsubplots = 1 |
|
1151 | self.__nsubplots = 1 | |
| 1119 | self.counter_imagwr = 0 |
|
1152 | self.counter_imagwr = 0 | |
| 1120 | self.WIDTH = 800 |
|
1153 | self.WIDTH = 800 | |
| 1121 | self.HEIGHT = 400 |
|
1154 | self.HEIGHT = 400 | |
| 1122 | self.WIDTHPROF = 120 |
|
1155 | self.WIDTHPROF = 120 | |
| 1123 | self.HEIGHTPROF = 0 |
|
1156 | self.HEIGHTPROF = 0 | |
| 1124 | self.xdata = None |
|
1157 | self.xdata = None | |
| 1125 | self.ydata = None |
|
1158 | self.ydata = None | |
| 1126 |
|
1159 | |||
| 1127 | self.PLOT_CODE = NOISE_CODE |
|
1160 | self.PLOT_CODE = NOISE_CODE | |
| 1128 |
|
1161 | |||
| 1129 | self.FTP_WEI = None |
|
1162 | self.FTP_WEI = None | |
| 1130 | self.EXP_CODE = None |
|
1163 | self.EXP_CODE = None | |
| 1131 | self.SUB_EXP_CODE = None |
|
1164 | self.SUB_EXP_CODE = None | |
| 1132 | self.PLOT_POS = None |
|
1165 | self.PLOT_POS = None | |
| 1133 | self.figfile = None |
|
1166 | self.figfile = None | |
| 1134 |
|
1167 | |||
| 1135 | self.xmin = None |
|
1168 | self.xmin = None | |
| 1136 | self.xmax = None |
|
1169 | self.xmax = None | |
| 1137 |
|
1170 | |||
| 1138 | def getSubplots(self): |
|
1171 | def getSubplots(self): | |
| 1139 |
|
1172 | |||
| 1140 | ncol = 1 |
|
1173 | ncol = 1 | |
| 1141 | nrow = 1 |
|
1174 | nrow = 1 | |
| 1142 |
|
1175 | |||
| 1143 | return nrow, ncol |
|
1176 | return nrow, ncol | |
| 1144 |
|
1177 | |||
| 1145 | def openfile(self, filename): |
|
1178 | def openfile(self, filename): | |
| 1146 | dirname = os.path.dirname(filename) |
|
1179 | dirname = os.path.dirname(filename) | |
| 1147 |
|
1180 | |||
| 1148 | if not os.path.exists(dirname): |
|
1181 | if not os.path.exists(dirname): | |
| 1149 | os.mkdir(dirname) |
|
1182 | os.mkdir(dirname) | |
| 1150 |
|
1183 | |||
| 1151 | f = open(filename,'w+') |
|
1184 | f = open(filename,'w+') | |
| 1152 | f.write('\n\n') |
|
1185 | f.write('\n\n') | |
| 1153 | f.write('JICAMARCA RADIO OBSERVATORY - Noise \n') |
|
1186 | f.write('JICAMARCA RADIO OBSERVATORY - Noise \n') | |
| 1154 | f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' ) |
|
1187 | f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' ) | |
| 1155 | f.close() |
|
1188 | f.close() | |
| 1156 |
|
1189 | |||
| 1157 | def save_data(self, filename_phase, data, data_datetime): |
|
1190 | def save_data(self, filename_phase, data, data_datetime): | |
| 1158 |
|
1191 | |||
| 1159 | f=open(filename_phase,'a') |
|
1192 | f=open(filename_phase,'a') | |
| 1160 |
|
1193 | |||
| 1161 | timetuple_data = data_datetime.timetuple() |
|
1194 | timetuple_data = data_datetime.timetuple() | |
| 1162 | day = str(timetuple_data.tm_mday) |
|
1195 | day = str(timetuple_data.tm_mday) | |
| 1163 | month = str(timetuple_data.tm_mon) |
|
1196 | month = str(timetuple_data.tm_mon) | |
| 1164 | year = str(timetuple_data.tm_year) |
|
1197 | year = str(timetuple_data.tm_year) | |
| 1165 | hour = str(timetuple_data.tm_hour) |
|
1198 | hour = str(timetuple_data.tm_hour) | |
| 1166 | minute = str(timetuple_data.tm_min) |
|
1199 | minute = str(timetuple_data.tm_min) | |
| 1167 | second = str(timetuple_data.tm_sec) |
|
1200 | second = str(timetuple_data.tm_sec) | |
| 1168 |
|
1201 | |||
| 1169 | data_msg = '' |
|
1202 | data_msg = '' | |
| 1170 | for i in range(len(data)): |
|
1203 | for i in range(len(data)): | |
| 1171 | data_msg += str(data[i]) + ' ' |
|
1204 | data_msg += str(data[i]) + ' ' | |
| 1172 |
|
1205 | |||
| 1173 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' ' + data_msg + '\n') |
|
1206 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' ' + data_msg + '\n') | |
| 1174 | f.close() |
|
1207 | f.close() | |
| 1175 |
|
1208 | |||
| 1176 |
|
1209 | |||
| 1177 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1210 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 1178 |
|
1211 | |||
| 1179 | self.__showprofile = showprofile |
|
1212 | self.__showprofile = showprofile | |
| 1180 | self.nplots = nplots |
|
1213 | self.nplots = nplots | |
| 1181 |
|
1214 | |||
| 1182 | ncolspan = 7 |
|
1215 | ncolspan = 7 | |
| 1183 | colspan = 6 |
|
1216 | colspan = 6 | |
| 1184 | self.__nsubplots = 2 |
|
1217 | self.__nsubplots = 2 | |
| 1185 |
|
1218 | |||
| 1186 | self.createFigure(id = id, |
|
1219 | self.createFigure(id = id, | |
| 1187 | wintitle = wintitle, |
|
1220 | wintitle = wintitle, | |
| 1188 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
1221 | widthplot = self.WIDTH+self.WIDTHPROF, | |
| 1189 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
1222 | heightplot = self.HEIGHT+self.HEIGHTPROF, | |
| 1190 | show=show) |
|
1223 | show=show) | |
| 1191 |
|
1224 | |||
| 1192 | nrow, ncol = self.getSubplots() |
|
1225 | nrow, ncol = self.getSubplots() | |
| 1193 |
|
1226 | |||
| 1194 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
1227 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) | |
| 1195 |
|
1228 | |||
| 1196 |
|
1229 | |||
| 1197 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
1230 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', | |
| 1198 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
1231 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 1199 | timerange=None, |
|
1232 | timerange=None, | |
| 1200 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
1233 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 1201 | server=None, folder=None, username=None, password=None, |
|
1234 | server=None, folder=None, username=None, password=None, | |
| 1202 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1235 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 1203 |
|
1236 | |||
| 1204 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
1237 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 1205 | return |
|
1238 | return | |
| 1206 |
|
1239 | |||
| 1207 | if channelList == None: |
|
1240 | if channelList == None: | |
| 1208 | channelIndexList = dataOut.channelIndexList |
|
1241 | channelIndexList = dataOut.channelIndexList | |
| 1209 | channelList = dataOut.channelList |
|
1242 | channelList = dataOut.channelList | |
| 1210 | else: |
|
1243 | else: | |
| 1211 | channelIndexList = [] |
|
1244 | channelIndexList = [] | |
| 1212 | for channel in channelList: |
|
1245 | for channel in channelList: | |
| 1213 | if channel not in dataOut.channelList: |
|
1246 | if channel not in dataOut.channelList: | |
| 1214 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
1247 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 1215 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
1248 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 1216 |
|
1249 | |||
| 1217 | x = dataOut.getTimeRange() |
|
1250 | x = dataOut.getTimeRange() | |
| 1218 | #y = dataOut.getHeiRange() |
|
1251 | #y = dataOut.getHeiRange() | |
| 1219 | factor = dataOut.normFactor |
|
1252 | factor = dataOut.normFactor | |
| 1220 | noise = dataOut.noise[channelIndexList]/factor |
|
1253 | noise = dataOut.noise[channelIndexList]/factor | |
| 1221 | noisedB = 10*numpy.log10(noise) |
|
1254 | noisedB = 10*numpy.log10(noise) | |
| 1222 |
|
1255 | |||
| 1223 | thisDatetime = dataOut.datatime |
|
1256 | thisDatetime = dataOut.datatime | |
| 1224 |
|
1257 | |||
| 1225 | title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1258 | title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1226 | xlabel = "" |
|
1259 | xlabel = "" | |
| 1227 | ylabel = "Intensity (dB)" |
|
1260 | ylabel = "Intensity (dB)" | |
| 1228 | update_figfile = False |
|
1261 | update_figfile = False | |
| 1229 |
|
1262 | |||
| 1230 | if not self.isConfig: |
|
1263 | if not self.isConfig: | |
| 1231 |
|
1264 | |||
| 1232 | nplots = 1 |
|
1265 | nplots = 1 | |
| 1233 |
|
1266 | |||
| 1234 | self.setup(id=id, |
|
1267 | self.setup(id=id, | |
| 1235 | nplots=nplots, |
|
1268 | nplots=nplots, | |
| 1236 | wintitle=wintitle, |
|
1269 | wintitle=wintitle, | |
| 1237 | showprofile=showprofile, |
|
1270 | showprofile=showprofile, | |
| 1238 | show=show) |
|
1271 | show=show) | |
| 1239 |
|
1272 | |||
| 1240 | if timerange != None: |
|
1273 | if timerange != None: | |
| 1241 | self.timerange = timerange |
|
1274 | self.timerange = timerange | |
| 1242 |
|
1275 | |||
| 1243 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1276 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 1244 |
|
1277 | |||
| 1245 | if ymin == None: ymin = numpy.floor(numpy.nanmin(noisedB)) - 10.0 |
|
1278 | if ymin == None: ymin = numpy.floor(numpy.nanmin(noisedB)) - 10.0 | |
| 1246 | if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0 |
|
1279 | if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0 | |
| 1247 |
|
1280 | |||
| 1248 | self.FTP_WEI = ftp_wei |
|
1281 | self.FTP_WEI = ftp_wei | |
| 1249 | self.EXP_CODE = exp_code |
|
1282 | self.EXP_CODE = exp_code | |
| 1250 | self.SUB_EXP_CODE = sub_exp_code |
|
1283 | self.SUB_EXP_CODE = sub_exp_code | |
| 1251 | self.PLOT_POS = plot_pos |
|
1284 | self.PLOT_POS = plot_pos | |
| 1252 |
|
1285 | |||
| 1253 |
|
1286 | |||
| 1254 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1287 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1255 | self.isConfig = True |
|
1288 | self.isConfig = True | |
| 1256 | self.figfile = figfile |
|
1289 | self.figfile = figfile | |
| 1257 | self.xdata = numpy.array([]) |
|
1290 | self.xdata = numpy.array([]) | |
| 1258 | self.ydata = numpy.array([]) |
|
1291 | self.ydata = numpy.array([]) | |
| 1259 |
|
1292 | |||
| 1260 | update_figfile = True |
|
1293 | update_figfile = True | |
| 1261 |
|
1294 | |||
| 1262 | #open file beacon phase |
|
1295 | #open file beacon phase | |
| 1263 | path = '%s%03d' %(self.PREFIX, self.id) |
|
1296 | path = '%s%03d' %(self.PREFIX, self.id) | |
| 1264 | noise_file = os.path.join(path,'%s.txt'%self.name) |
|
1297 | noise_file = os.path.join(path,'%s.txt'%self.name) | |
| 1265 | self.filename_noise = os.path.join(figpath,noise_file) |
|
1298 | self.filename_noise = os.path.join(figpath,noise_file) | |
| 1266 |
|
1299 | |||
| 1267 | self.setWinTitle(title) |
|
1300 | self.setWinTitle(title) | |
| 1268 |
|
1301 | |||
| 1269 | title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1302 | title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1270 |
|
1303 | |||
| 1271 | legendlabels = ["channel %d"%(idchannel) for idchannel in channelList] |
|
1304 | legendlabels = ["channel %d"%(idchannel) for idchannel in channelList] | |
| 1272 | axes = self.axesList[0] |
|
1305 | axes = self.axesList[0] | |
| 1273 |
|
1306 | |||
| 1274 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
1307 | self.xdata = numpy.hstack((self.xdata, x[0:1])) | |
| 1275 |
|
1308 | |||
| 1276 | if len(self.ydata)==0: |
|
1309 | if len(self.ydata)==0: | |
| 1277 | self.ydata = noisedB.reshape(-1,1) |
|
1310 | self.ydata = noisedB.reshape(-1,1) | |
| 1278 | else: |
|
1311 | else: | |
| 1279 | self.ydata = numpy.hstack((self.ydata, noisedB.reshape(-1,1))) |
|
1312 | self.ydata = numpy.hstack((self.ydata, noisedB.reshape(-1,1))) | |
| 1280 |
|
1313 | |||
| 1281 |
|
1314 | |||
| 1282 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
1315 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, | |
| 1283 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
1316 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, | |
| 1284 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
1317 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", | |
| 1285 | XAxisAsTime=True, grid='both' |
|
1318 | XAxisAsTime=True, grid='both' | |
| 1286 | ) |
|
1319 | ) | |
| 1287 |
|
1320 | |||
| 1288 | self.draw() |
|
1321 | self.draw() | |
| 1289 |
|
1322 | |||
| 1290 | if dataOut.ltctime >= self.xmax: |
|
1323 | if dataOut.ltctime >= self.xmax: | |
| 1291 | self.counter_imagwr = wr_period |
|
1324 | self.counter_imagwr = wr_period | |
| 1292 | self.isConfig = False |
|
1325 | self.isConfig = False | |
| 1293 | update_figfile = True |
|
1326 | update_figfile = True | |
| 1294 |
|
1327 | |||
| 1295 | self.save(figpath=figpath, |
|
1328 | self.save(figpath=figpath, | |
| 1296 | figfile=figfile, |
|
1329 | figfile=figfile, | |
| 1297 | save=save, |
|
1330 | save=save, | |
| 1298 | ftp=ftp, |
|
1331 | ftp=ftp, | |
| 1299 | wr_period=wr_period, |
|
1332 | wr_period=wr_period, | |
| 1300 | thisDatetime=thisDatetime, |
|
1333 | thisDatetime=thisDatetime, | |
| 1301 | update_figfile=update_figfile) |
|
1334 | update_figfile=update_figfile) | |
| 1302 |
|
1335 | |||
| 1303 | #store data beacon phase |
|
1336 | #store data beacon phase | |
| 1304 | if save: |
|
1337 | if save: | |
| 1305 | self.save_data(self.filename_noise, noisedB, thisDatetime) |
|
1338 | self.save_data(self.filename_noise, noisedB, thisDatetime) | |
| 1306 |
|
1339 | |||
| 1307 | class BeaconPhase(Figure): |
|
1340 | class BeaconPhase(Figure): | |
| 1308 |
|
1341 | |||
| 1309 | __isConfig = None |
|
1342 | __isConfig = None | |
| 1310 | __nsubplots = None |
|
1343 | __nsubplots = None | |
| 1311 |
|
1344 | |||
| 1312 | PREFIX = 'beacon_phase' |
|
1345 | PREFIX = 'beacon_phase' | |
|
|
1346 | ||||
|
|
1347 | parameters = { | |||
|
|
1348 | 'id': 'string', | |||
|
|
1349 | 'wintitle': 'string', | |||
|
|
1350 | 'pairsList': 'pairsList', | |||
|
|
1351 | 'showprofile': 'boolean', | |||
|
|
1352 | 'xmin': 'float', | |||
|
|
1353 | 'xmax': 'float', | |||
|
|
1354 | 'ymin': 'float', | |||
|
|
1355 | 'ymax': 'float', | |||
|
|
1356 | 'hmin': 'float', | |||
|
|
1357 | 'hmax': 'float', | |||
|
|
1358 | 'timerange': 'float', | |||
|
|
1359 | 'save': 'boolean', | |||
|
|
1360 | 'figpath': 'string', | |||
|
|
1361 | 'figfile': 'string', | |||
|
|
1362 | 'show': 'boolean', | |||
|
|
1363 | 'ftp': 'string', | |||
|
|
1364 | 'wr_period': 'int', | |||
|
|
1365 | 'server': 'string', | |||
|
|
1366 | 'folder': 'string', | |||
|
|
1367 | 'username': 'string', | |||
|
|
1368 | 'password': 'string', | |||
|
|
1369 | 'ftp_wei': 'int', | |||
|
|
1370 | 'exp_code': 'int', | |||
|
|
1371 | 'sub_exp_code': 'int', | |||
|
|
1372 | 'plot_pos': 'int', | |||
|
|
1373 | } | |||
| 1313 |
|
1374 | |||
| 1314 | def __init__(self, **kwargs): |
|
1375 | def __init__(self, **kwargs): | |
| 1315 | Figure.__init__(self, **kwargs) |
|
1376 | Figure.__init__(self, **kwargs) | |
| 1316 | self.timerange = 24*60*60 |
|
1377 | self.timerange = 24*60*60 | |
| 1317 | self.isConfig = False |
|
1378 | self.isConfig = False | |
| 1318 | self.__nsubplots = 1 |
|
1379 | self.__nsubplots = 1 | |
| 1319 | self.counter_imagwr = 0 |
|
1380 | self.counter_imagwr = 0 | |
| 1320 | self.WIDTH = 800 |
|
1381 | self.WIDTH = 800 | |
| 1321 | self.HEIGHT = 400 |
|
1382 | self.HEIGHT = 400 | |
| 1322 | self.WIDTHPROF = 120 |
|
1383 | self.WIDTHPROF = 120 | |
| 1323 | self.HEIGHTPROF = 0 |
|
1384 | self.HEIGHTPROF = 0 | |
| 1324 | self.xdata = None |
|
1385 | self.xdata = None | |
| 1325 | self.ydata = None |
|
1386 | self.ydata = None | |
| 1326 |
|
1387 | |||
| 1327 | self.PLOT_CODE = BEACON_CODE |
|
1388 | self.PLOT_CODE = BEACON_CODE | |
| 1328 |
|
1389 | |||
| 1329 | self.FTP_WEI = None |
|
1390 | self.FTP_WEI = None | |
| 1330 | self.EXP_CODE = None |
|
1391 | self.EXP_CODE = None | |
| 1331 | self.SUB_EXP_CODE = None |
|
1392 | self.SUB_EXP_CODE = None | |
| 1332 | self.PLOT_POS = None |
|
1393 | self.PLOT_POS = None | |
| 1333 |
|
1394 | |||
| 1334 | self.filename_phase = None |
|
1395 | self.filename_phase = None | |
| 1335 |
|
1396 | |||
| 1336 | self.figfile = None |
|
1397 | self.figfile = None | |
| 1337 |
|
1398 | |||
| 1338 | self.xmin = None |
|
1399 | self.xmin = None | |
| 1339 | self.xmax = None |
|
1400 | self.xmax = None | |
| 1340 |
|
1401 | |||
| 1341 | def getSubplots(self): |
|
1402 | def getSubplots(self): | |
| 1342 |
|
1403 | |||
| 1343 | ncol = 1 |
|
1404 | ncol = 1 | |
| 1344 | nrow = 1 |
|
1405 | nrow = 1 | |
| 1345 |
|
1406 | |||
| 1346 | return nrow, ncol |
|
1407 | return nrow, ncol | |
| 1347 |
|
1408 | |||
| 1348 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1409 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 1349 |
|
1410 | |||
| 1350 | self.__showprofile = showprofile |
|
1411 | self.__showprofile = showprofile | |
| 1351 | self.nplots = nplots |
|
1412 | self.nplots = nplots | |
| 1352 |
|
1413 | |||
| 1353 | ncolspan = 7 |
|
1414 | ncolspan = 7 | |
| 1354 | colspan = 6 |
|
1415 | colspan = 6 | |
| 1355 | self.__nsubplots = 2 |
|
1416 | self.__nsubplots = 2 | |
| 1356 |
|
1417 | |||
| 1357 | self.createFigure(id = id, |
|
1418 | self.createFigure(id = id, | |
| 1358 | wintitle = wintitle, |
|
1419 | wintitle = wintitle, | |
| 1359 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
1420 | widthplot = self.WIDTH+self.WIDTHPROF, | |
| 1360 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
1421 | heightplot = self.HEIGHT+self.HEIGHTPROF, | |
| 1361 | show=show) |
|
1422 | show=show) | |
| 1362 |
|
1423 | |||
| 1363 | nrow, ncol = self.getSubplots() |
|
1424 | nrow, ncol = self.getSubplots() | |
| 1364 |
|
1425 | |||
| 1365 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
1426 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) | |
| 1366 |
|
1427 | |||
| 1367 | def save_phase(self, filename_phase): |
|
1428 | def save_phase(self, filename_phase): | |
| 1368 | f = open(filename_phase,'w+') |
|
1429 | f = open(filename_phase,'w+') | |
| 1369 | f.write('\n\n') |
|
1430 | f.write('\n\n') | |
| 1370 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') |
|
1431 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') | |
| 1371 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) |
|
1432 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) | |
| 1372 | f.close() |
|
1433 | f.close() | |
| 1373 |
|
1434 | |||
| 1374 | def save_data(self, filename_phase, data, data_datetime): |
|
1435 | def save_data(self, filename_phase, data, data_datetime): | |
| 1375 | f=open(filename_phase,'a') |
|
1436 | f=open(filename_phase,'a') | |
| 1376 | timetuple_data = data_datetime.timetuple() |
|
1437 | timetuple_data = data_datetime.timetuple() | |
| 1377 | day = str(timetuple_data.tm_mday) |
|
1438 | day = str(timetuple_data.tm_mday) | |
| 1378 | month = str(timetuple_data.tm_mon) |
|
1439 | month = str(timetuple_data.tm_mon) | |
| 1379 | year = str(timetuple_data.tm_year) |
|
1440 | year = str(timetuple_data.tm_year) | |
| 1380 | hour = str(timetuple_data.tm_hour) |
|
1441 | hour = str(timetuple_data.tm_hour) | |
| 1381 | minute = str(timetuple_data.tm_min) |
|
1442 | minute = str(timetuple_data.tm_min) | |
| 1382 | second = str(timetuple_data.tm_sec) |
|
1443 | second = str(timetuple_data.tm_sec) | |
| 1383 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') |
|
1444 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') | |
| 1384 | f.close() |
|
1445 | f.close() | |
| 1385 |
|
1446 | |||
| 1386 |
|
1447 | |||
| 1387 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
1448 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', | |
| 1388 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, |
|
1449 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, | |
| 1389 | timerange=None, |
|
1450 | timerange=None, | |
| 1390 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
1451 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 1391 | server=None, folder=None, username=None, password=None, |
|
1452 | server=None, folder=None, username=None, password=None, | |
| 1392 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1453 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 1393 |
|
1454 | |||
| 1394 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
1455 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 1395 | return |
|
1456 | return | |
| 1396 |
|
1457 | |||
| 1397 | if pairsList == None: |
|
1458 | if pairsList == None: | |
| 1398 | pairsIndexList = dataOut.pairsIndexList[:10] |
|
1459 | pairsIndexList = dataOut.pairsIndexList[:10] | |
| 1399 | else: |
|
1460 | else: | |
| 1400 | pairsIndexList = [] |
|
1461 | pairsIndexList = [] | |
| 1401 | for pair in pairsList: |
|
1462 | for pair in pairsList: | |
| 1402 | if pair not in dataOut.pairsList: |
|
1463 | if pair not in dataOut.pairsList: | |
| 1403 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
1464 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) | |
| 1404 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
1465 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
| 1405 |
|
1466 | |||
| 1406 | if pairsIndexList == []: |
|
1467 | if pairsIndexList == []: | |
| 1407 | return |
|
1468 | return | |
| 1408 |
|
1469 | |||
| 1409 | # if len(pairsIndexList) > 4: |
|
1470 | # if len(pairsIndexList) > 4: | |
| 1410 | # pairsIndexList = pairsIndexList[0:4] |
|
1471 | # pairsIndexList = pairsIndexList[0:4] | |
| 1411 |
|
1472 | |||
| 1412 | hmin_index = None |
|
1473 | hmin_index = None | |
| 1413 | hmax_index = None |
|
1474 | hmax_index = None | |
| 1414 |
|
1475 | |||
| 1415 | if hmin != None and hmax != None: |
|
1476 | if hmin != None and hmax != None: | |
| 1416 | indexes = numpy.arange(dataOut.nHeights) |
|
1477 | indexes = numpy.arange(dataOut.nHeights) | |
| 1417 | hmin_list = indexes[dataOut.heightList >= hmin] |
|
1478 | hmin_list = indexes[dataOut.heightList >= hmin] | |
| 1418 | hmax_list = indexes[dataOut.heightList <= hmax] |
|
1479 | hmax_list = indexes[dataOut.heightList <= hmax] | |
| 1419 |
|
1480 | |||
| 1420 | if hmin_list.any(): |
|
1481 | if hmin_list.any(): | |
| 1421 | hmin_index = hmin_list[0] |
|
1482 | hmin_index = hmin_list[0] | |
| 1422 |
|
1483 | |||
| 1423 | if hmax_list.any(): |
|
1484 | if hmax_list.any(): | |
| 1424 | hmax_index = hmax_list[-1]+1 |
|
1485 | hmax_index = hmax_list[-1]+1 | |
| 1425 |
|
1486 | |||
| 1426 | x = dataOut.getTimeRange() |
|
1487 | x = dataOut.getTimeRange() | |
| 1427 | #y = dataOut.getHeiRange() |
|
1488 | #y = dataOut.getHeiRange() | |
| 1428 |
|
1489 | |||
| 1429 |
|
1490 | |||
| 1430 | thisDatetime = dataOut.datatime |
|
1491 | thisDatetime = dataOut.datatime | |
| 1431 |
|
1492 | |||
| 1432 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1493 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1433 | xlabel = "Local Time" |
|
1494 | xlabel = "Local Time" | |
| 1434 | ylabel = "Phase (degrees)" |
|
1495 | ylabel = "Phase (degrees)" | |
| 1435 |
|
1496 | |||
| 1436 | update_figfile = False |
|
1497 | update_figfile = False | |
| 1437 |
|
1498 | |||
| 1438 | nplots = len(pairsIndexList) |
|
1499 | nplots = len(pairsIndexList) | |
| 1439 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
1500 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) | |
| 1440 | phase_beacon = numpy.zeros(len(pairsIndexList)) |
|
1501 | phase_beacon = numpy.zeros(len(pairsIndexList)) | |
| 1441 | for i in range(nplots): |
|
1502 | for i in range(nplots): | |
| 1442 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
1503 | pair = dataOut.pairsList[pairsIndexList[i]] | |
| 1443 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) |
|
1504 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) | |
| 1444 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) |
|
1505 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) | |
| 1445 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) |
|
1506 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) | |
| 1446 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
1507 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) | |
| 1447 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
1508 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi | |
| 1448 |
|
1509 | |||
| 1449 | #print "Phase %d%d" %(pair[0], pair[1]) |
|
1510 | #print "Phase %d%d" %(pair[0], pair[1]) | |
| 1450 | #print phase[dataOut.beacon_heiIndexList] |
|
1511 | #print phase[dataOut.beacon_heiIndexList] | |
| 1451 |
|
1512 | |||
| 1452 | if dataOut.beacon_heiIndexList: |
|
1513 | if dataOut.beacon_heiIndexList: | |
| 1453 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) |
|
1514 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) | |
| 1454 | else: |
|
1515 | else: | |
| 1455 | phase_beacon[i] = numpy.average(phase) |
|
1516 | phase_beacon[i] = numpy.average(phase) | |
| 1456 |
|
1517 | |||
| 1457 | if not self.isConfig: |
|
1518 | if not self.isConfig: | |
| 1458 |
|
1519 | |||
| 1459 | nplots = len(pairsIndexList) |
|
1520 | nplots = len(pairsIndexList) | |
| 1460 |
|
1521 | |||
| 1461 | self.setup(id=id, |
|
1522 | self.setup(id=id, | |
| 1462 | nplots=nplots, |
|
1523 | nplots=nplots, | |
| 1463 | wintitle=wintitle, |
|
1524 | wintitle=wintitle, | |
| 1464 | showprofile=showprofile, |
|
1525 | showprofile=showprofile, | |
| 1465 | show=show) |
|
1526 | show=show) | |
| 1466 |
|
1527 | |||
| 1467 | if timerange != None: |
|
1528 | if timerange != None: | |
| 1468 | self.timerange = timerange |
|
1529 | self.timerange = timerange | |
| 1469 |
|
1530 | |||
| 1470 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1531 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 1471 |
|
1532 | |||
| 1472 | if ymin == None: ymin = 0 |
|
1533 | if ymin == None: ymin = 0 | |
| 1473 | if ymax == None: ymax = 360 |
|
1534 | if ymax == None: ymax = 360 | |
| 1474 |
|
1535 | |||
| 1475 | self.FTP_WEI = ftp_wei |
|
1536 | self.FTP_WEI = ftp_wei | |
| 1476 | self.EXP_CODE = exp_code |
|
1537 | self.EXP_CODE = exp_code | |
| 1477 | self.SUB_EXP_CODE = sub_exp_code |
|
1538 | self.SUB_EXP_CODE = sub_exp_code | |
| 1478 | self.PLOT_POS = plot_pos |
|
1539 | self.PLOT_POS = plot_pos | |
| 1479 |
|
1540 | |||
| 1480 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1541 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1481 | self.isConfig = True |
|
1542 | self.isConfig = True | |
| 1482 | self.figfile = figfile |
|
1543 | self.figfile = figfile | |
| 1483 | self.xdata = numpy.array([]) |
|
1544 | self.xdata = numpy.array([]) | |
| 1484 | self.ydata = numpy.array([]) |
|
1545 | self.ydata = numpy.array([]) | |
| 1485 |
|
1546 | |||
| 1486 | update_figfile = True |
|
1547 | update_figfile = True | |
| 1487 |
|
1548 | |||
| 1488 | #open file beacon phase |
|
1549 | #open file beacon phase | |
| 1489 | path = '%s%03d' %(self.PREFIX, self.id) |
|
1550 | path = '%s%03d' %(self.PREFIX, self.id) | |
| 1490 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
1551 | beacon_file = os.path.join(path,'%s.txt'%self.name) | |
| 1491 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
1552 | self.filename_phase = os.path.join(figpath,beacon_file) | |
| 1492 | #self.save_phase(self.filename_phase) |
|
1553 | #self.save_phase(self.filename_phase) | |
| 1493 |
|
1554 | |||
| 1494 |
|
1555 | |||
| 1495 | #store data beacon phase |
|
1556 | #store data beacon phase | |
| 1496 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
1557 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) | |
| 1497 |
|
1558 | |||
| 1498 | self.setWinTitle(title) |
|
1559 | self.setWinTitle(title) | |
| 1499 |
|
1560 | |||
| 1500 |
|
1561 | |||
| 1501 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1562 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1502 |
|
1563 | |||
| 1503 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] |
|
1564 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] | |
| 1504 |
|
1565 | |||
| 1505 | axes = self.axesList[0] |
|
1566 | axes = self.axesList[0] | |
| 1506 |
|
1567 | |||
| 1507 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
1568 | self.xdata = numpy.hstack((self.xdata, x[0:1])) | |
| 1508 |
|
1569 | |||
| 1509 | if len(self.ydata)==0: |
|
1570 | if len(self.ydata)==0: | |
| 1510 | self.ydata = phase_beacon.reshape(-1,1) |
|
1571 | self.ydata = phase_beacon.reshape(-1,1) | |
| 1511 | else: |
|
1572 | else: | |
| 1512 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
1573 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) | |
| 1513 |
|
1574 | |||
| 1514 |
|
1575 | |||
| 1515 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
1576 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, | |
| 1516 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
1577 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, | |
| 1517 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
1578 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", | |
| 1518 | XAxisAsTime=True, grid='both' |
|
1579 | XAxisAsTime=True, grid='both' | |
| 1519 | ) |
|
1580 | ) | |
| 1520 |
|
1581 | |||
| 1521 | self.draw() |
|
1582 | self.draw() | |
| 1522 |
|
1583 | |||
| 1523 | if dataOut.ltctime >= self.xmax: |
|
1584 | if dataOut.ltctime >= self.xmax: | |
| 1524 | self.counter_imagwr = wr_period |
|
1585 | self.counter_imagwr = wr_period | |
| 1525 | self.isConfig = False |
|
1586 | self.isConfig = False | |
| 1526 | update_figfile = True |
|
1587 | update_figfile = True | |
| 1527 |
|
1588 | |||
| 1528 | self.save(figpath=figpath, |
|
1589 | self.save(figpath=figpath, | |
| 1529 | figfile=figfile, |
|
1590 | figfile=figfile, | |
| 1530 | save=save, |
|
1591 | save=save, | |
| 1531 | ftp=ftp, |
|
1592 | ftp=ftp, | |
| 1532 | wr_period=wr_period, |
|
1593 | wr_period=wr_period, | |
| 1533 | thisDatetime=thisDatetime, |
|
1594 | thisDatetime=thisDatetime, | |
| 1534 | update_figfile=update_figfile) |
|
1595 | update_figfile=update_figfile) | |
| @@ -1,141 +1,144 | |||||
| 1 | ''' |
|
1 | ''' | |
| 2 | @author: Daniel Suarez |
|
2 | @author: Daniel Suarez | |
| 3 | ''' |
|
3 | ''' | |
| 4 | import numpy |
|
4 | import numpy | |
| 5 | from jroproc_base import ProcessingUnit, Operation |
|
5 | from jroproc_base import ProcessingUnit, Operation | |
| 6 | from schainpy.model.data.jroamisr import AMISR |
|
6 | from schainpy.model.data.jroamisr import AMISR | |
| 7 |
|
7 | |||
| 8 | class AMISRProc(ProcessingUnit): |
|
8 | class AMISRProc(ProcessingUnit): | |
| 9 | def __init__(self): |
|
9 | def __init__(self): | |
| 10 | ProcessingUnit.__init__(self) |
|
10 | ProcessingUnit.__init__(self) | |
| 11 | self.objectDict = {} |
|
11 | self.objectDict = {} | |
| 12 | self.dataOut = AMISR() |
|
12 | self.dataOut = AMISR() | |
| 13 |
|
13 | |||
| 14 | def run(self): |
|
14 | def run(self): | |
| 15 | if self.dataIn.type == 'AMISR': |
|
15 | if self.dataIn.type == 'AMISR': | |
| 16 | self.dataOut.copy(self.dataIn) |
|
16 | self.dataOut.copy(self.dataIn) | |
| 17 |
|
17 | |||
| 18 |
|
18 | |||
| 19 | class PrintInfo(Operation): |
|
19 | class PrintInfo(Operation): | |
| 20 | def __init__(self): |
|
20 | def __init__(self): | |
| 21 | self.__isPrinted = False |
|
21 | self.__isPrinted = False | |
| 22 |
|
22 | |||
| 23 | def run(self, dataOut): |
|
23 | def run(self, dataOut): | |
| 24 |
|
24 | |||
| 25 | if not self.__isPrinted: |
|
25 | if not self.__isPrinted: | |
| 26 | print 'Number of Records by File: %d'%dataOut.nRecords |
|
26 | print 'Number of Records by File: %d'%dataOut.nRecords | |
| 27 | print 'Number of Pulses: %d'%dataOut.nProfiles |
|
27 | print 'Number of Pulses: %d'%dataOut.nProfiles | |
| 28 | print 'Number of Pulses by Frame: %d'%dataOut.npulseByFrame |
|
28 | print 'Number of Pulses by Frame: %d'%dataOut.npulseByFrame | |
| 29 | print 'Number of Samples by Pulse: %d'%len(dataOut.heightList) |
|
29 | print 'Number of Samples by Pulse: %d'%len(dataOut.heightList) | |
| 30 | print 'Ipp Seconds: %f'%dataOut.ippSeconds |
|
30 | print 'Ipp Seconds: %f'%dataOut.ippSeconds | |
| 31 | print 'Number of Beams: %d'%dataOut.nBeams |
|
31 | print 'Number of Beams: %d'%dataOut.nBeams | |
| 32 | print 'BeamCodes:' |
|
32 | print 'BeamCodes:' | |
| 33 | beamStrList = ['Beam %d -> Code=%d, azimuth=%2.2f, zenith=%2.2f, gain=%2.2f'%(k,v[0],v[1],v[2],v[3]) for k,v in dataOut.beamCodeDict.items()] |
|
33 | beamStrList = ['Beam %d -> Code=%d, azimuth=%2.2f, zenith=%2.2f, gain=%2.2f'%(k,v[0],v[1],v[2],v[3]) for k,v in dataOut.beamCodeDict.items()] | |
| 34 | for b in beamStrList: |
|
34 | for b in beamStrList: | |
| 35 | print b |
|
35 | print b | |
| 36 | self.__isPrinted = True |
|
36 | self.__isPrinted = True | |
| 37 |
|
37 | |||
| 38 | return |
|
38 | return | |
| 39 |
|
39 | |||
| 40 |
|
40 | |||
| 41 | class BeamSelector(Operation): |
|
41 | class BeamSelector(Operation): | |
| 42 | profileIndex = None |
|
42 | profileIndex = None | |
| 43 | nProfiles = None |
|
43 | nProfiles = None | |
|
|
44 | parameters = { | |||
|
|
45 | 'beam': 'string', | |||
|
|
46 | } | |||
| 44 |
|
47 | |||
| 45 | def __init__(self): |
|
48 | def __init__(self): | |
| 46 |
|
49 | |||
| 47 | self.profileIndex = 0 |
|
50 | self.profileIndex = 0 | |
| 48 | self.__isConfig = False |
|
51 | self.__isConfig = False | |
| 49 |
|
52 | |||
| 50 | def incIndex(self): |
|
53 | def incIndex(self): | |
| 51 | self.profileIndex += 1 |
|
54 | self.profileIndex += 1 | |
| 52 |
|
55 | |||
| 53 | if self.profileIndex >= self.nProfiles: |
|
56 | if self.profileIndex >= self.nProfiles: | |
| 54 | self.profileIndex = 0 |
|
57 | self.profileIndex = 0 | |
| 55 |
|
58 | |||
| 56 | def isProfileInRange(self, minIndex, maxIndex): |
|
59 | def isProfileInRange(self, minIndex, maxIndex): | |
| 57 |
|
60 | |||
| 58 | if self.profileIndex < minIndex: |
|
61 | if self.profileIndex < minIndex: | |
| 59 | return False |
|
62 | return False | |
| 60 |
|
63 | |||
| 61 | if self.profileIndex > maxIndex: |
|
64 | if self.profileIndex > maxIndex: | |
| 62 | return False |
|
65 | return False | |
| 63 |
|
66 | |||
| 64 | return True |
|
67 | return True | |
| 65 |
|
68 | |||
| 66 | def isProfileInList(self, profileList): |
|
69 | def isProfileInList(self, profileList): | |
| 67 |
|
70 | |||
| 68 | if self.profileIndex not in profileList: |
|
71 | if self.profileIndex not in profileList: | |
| 69 | return False |
|
72 | return False | |
| 70 |
|
73 | |||
| 71 | return True |
|
74 | return True | |
| 72 |
|
75 | |||
| 73 | def run(self, dataOut, beam=None): |
|
76 | def run(self, dataOut, beam=None): | |
| 74 |
|
77 | |||
| 75 | dataOut.flagNoData = True |
|
78 | dataOut.flagNoData = True | |
| 76 |
|
79 | |||
| 77 | if not(self.__isConfig): |
|
80 | if not(self.__isConfig): | |
| 78 |
|
81 | |||
| 79 | self.nProfiles = dataOut.nProfiles |
|
82 | self.nProfiles = dataOut.nProfiles | |
| 80 | self.profileIndex = dataOut.profileIndex |
|
83 | self.profileIndex = dataOut.profileIndex | |
| 81 | self.__isConfig = True |
|
84 | self.__isConfig = True | |
| 82 |
|
85 | |||
| 83 | if beam != None: |
|
86 | if beam != None: | |
| 84 | if self.isProfileInList(dataOut.beamRangeDict[beam]): |
|
87 | if self.isProfileInList(dataOut.beamRangeDict[beam]): | |
| 85 | beamInfo = dataOut.beamCodeDict[beam] |
|
88 | beamInfo = dataOut.beamCodeDict[beam] | |
| 86 | dataOut.azimuth = beamInfo[1] |
|
89 | dataOut.azimuth = beamInfo[1] | |
| 87 | dataOut.zenith = beamInfo[2] |
|
90 | dataOut.zenith = beamInfo[2] | |
| 88 | dataOut.gain = beamInfo[3] |
|
91 | dataOut.gain = beamInfo[3] | |
| 89 | dataOut.flagNoData = False |
|
92 | dataOut.flagNoData = False | |
| 90 |
|
93 | |||
| 91 | self.incIndex() |
|
94 | self.incIndex() | |
| 92 | return 1 |
|
95 | return 1 | |
| 93 |
|
96 | |||
| 94 | else: |
|
97 | else: | |
| 95 | raise ValueError, "BeamSelector needs beam value" |
|
98 | raise ValueError, "BeamSelector needs beam value" | |
| 96 |
|
99 | |||
| 97 | return 0 |
|
100 | return 0 | |
| 98 |
|
101 | |||
| 99 | class ProfileToChannels(Operation): |
|
102 | class ProfileToChannels(Operation): | |
| 100 |
|
103 | |||
| 101 | def __init__(self): |
|
104 | def __init__(self): | |
| 102 | self.__isConfig = False |
|
105 | self.__isConfig = False | |
| 103 | self.__counter_chan = 0 |
|
106 | self.__counter_chan = 0 | |
| 104 | self.buffer = None |
|
107 | self.buffer = None | |
| 105 |
|
108 | |||
| 106 | def isProfileInList(self, profileList): |
|
109 | def isProfileInList(self, profileList): | |
| 107 |
|
110 | |||
| 108 | if self.profileIndex not in profileList: |
|
111 | if self.profileIndex not in profileList: | |
| 109 | return False |
|
112 | return False | |
| 110 |
|
113 | |||
| 111 | return True |
|
114 | return True | |
| 112 |
|
115 | |||
| 113 | def run(self, dataOut): |
|
116 | def run(self, dataOut): | |
| 114 |
|
117 | |||
| 115 | dataOut.flagNoData = True |
|
118 | dataOut.flagNoData = True | |
| 116 |
|
119 | |||
| 117 | if not(self.__isConfig): |
|
120 | if not(self.__isConfig): | |
| 118 | nchannels = len(dataOut.beamRangeDict.keys()) |
|
121 | nchannels = len(dataOut.beamRangeDict.keys()) | |
| 119 | nsamples = dataOut.nHeights |
|
122 | nsamples = dataOut.nHeights | |
| 120 | self.buffer = numpy.zeros((nchannels, nsamples), dtype = 'complex128') |
|
123 | self.buffer = numpy.zeros((nchannels, nsamples), dtype = 'complex128') | |
| 121 | dataOut.beam.codeList = [dataOut.beamCodeDict[x][0] for x in range(nchannels)] |
|
124 | dataOut.beam.codeList = [dataOut.beamCodeDict[x][0] for x in range(nchannels)] | |
| 122 | dataOut.beam.azimuthList = [dataOut.beamCodeDict[x][1] for x in range(nchannels)] |
|
125 | dataOut.beam.azimuthList = [dataOut.beamCodeDict[x][1] for x in range(nchannels)] | |
| 123 | dataOut.beam.zenithList = [dataOut.beamCodeDict[x][2] for x in range(nchannels)] |
|
126 | dataOut.beam.zenithList = [dataOut.beamCodeDict[x][2] for x in range(nchannels)] | |
| 124 | self.__isConfig = True |
|
127 | self.__isConfig = True | |
| 125 |
|
128 | |||
| 126 | for i in range(self.buffer.shape[0]): |
|
129 | for i in range(self.buffer.shape[0]): | |
| 127 | if dataOut.profileIndex in dataOut.beamRangeDict[i]: |
|
130 | if dataOut.profileIndex in dataOut.beamRangeDict[i]: | |
| 128 | self.buffer[i,:] = dataOut.data |
|
131 | self.buffer[i,:] = dataOut.data | |
| 129 | break |
|
132 | break | |
| 130 |
|
133 | |||
| 131 |
|
134 | |||
| 132 | self.__counter_chan += 1 |
|
135 | self.__counter_chan += 1 | |
| 133 |
|
136 | |||
| 134 | if self.__counter_chan >= self.buffer.shape[0]: |
|
137 | if self.__counter_chan >= self.buffer.shape[0]: | |
| 135 | self.__counter_chan = 0 |
|
138 | self.__counter_chan = 0 | |
| 136 | dataOut.data = self.buffer.copy() |
|
139 | dataOut.data = self.buffer.copy() | |
| 137 | dataOut.channelList = range(self.buffer.shape[0]) |
|
140 | dataOut.channelList = range(self.buffer.shape[0]) | |
| 138 | self.__isConfig = False |
|
141 | self.__isConfig = False | |
| 139 | dataOut.flagNoData = False |
|
142 | dataOut.flagNoData = False | |
| 140 | pass |
|
143 | pass | |
| 141 | No newline at end of file |
|
144 | ||
| @@ -1,1283 +1,1290 | |||||
| 1 | import sys |
|
1 | import sys | |
| 2 | import numpy |
|
2 | import numpy | |
| 3 | from scipy import interpolate |
|
3 | from scipy import interpolate | |
| 4 |
|
4 | |||
| 5 | from jroproc_base import ProcessingUnit, Operation |
|
5 | from jroproc_base import ProcessingUnit, Operation | |
| 6 | from schainpy.model.data.jrodata import Voltage |
|
6 | from schainpy.model.data.jrodata import Voltage | |
| 7 |
|
7 | |||
| 8 | class VoltageProc(ProcessingUnit): |
|
8 | class VoltageProc(ProcessingUnit): | |
| 9 |
|
9 | |||
| 10 |
|
10 | |||
| 11 | def __init__(self, **kwargs): |
|
11 | def __init__(self, **kwargs): | |
| 12 |
|
12 | |||
| 13 | ProcessingUnit.__init__(self, **kwargs) |
|
13 | ProcessingUnit.__init__(self, **kwargs) | |
| 14 |
|
14 | |||
| 15 | # self.objectDict = {} |
|
15 | # self.objectDict = {} | |
| 16 | self.dataOut = Voltage() |
|
16 | self.dataOut = Voltage() | |
| 17 | self.flip = 1 |
|
17 | self.flip = 1 | |
| 18 |
|
18 | |||
| 19 | def run(self): |
|
19 | def run(self): | |
| 20 | if self.dataIn.type == 'AMISR': |
|
20 | if self.dataIn.type == 'AMISR': | |
| 21 | self.__updateObjFromAmisrInput() |
|
21 | self.__updateObjFromAmisrInput() | |
| 22 |
|
22 | |||
| 23 | if self.dataIn.type == 'Voltage': |
|
23 | if self.dataIn.type == 'Voltage': | |
| 24 | self.dataOut.copy(self.dataIn) |
|
24 | self.dataOut.copy(self.dataIn) | |
| 25 |
|
25 | |||
| 26 | # self.dataOut.copy(self.dataIn) |
|
26 | # self.dataOut.copy(self.dataIn) | |
| 27 |
|
27 | |||
| 28 | def __updateObjFromAmisrInput(self): |
|
28 | def __updateObjFromAmisrInput(self): | |
| 29 |
|
29 | |||
| 30 | self.dataOut.timeZone = self.dataIn.timeZone |
|
30 | self.dataOut.timeZone = self.dataIn.timeZone | |
| 31 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
31 | self.dataOut.dstFlag = self.dataIn.dstFlag | |
| 32 | self.dataOut.errorCount = self.dataIn.errorCount |
|
32 | self.dataOut.errorCount = self.dataIn.errorCount | |
| 33 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
33 | self.dataOut.useLocalTime = self.dataIn.useLocalTime | |
| 34 |
|
34 | |||
| 35 | self.dataOut.flagNoData = self.dataIn.flagNoData |
|
35 | self.dataOut.flagNoData = self.dataIn.flagNoData | |
| 36 | self.dataOut.data = self.dataIn.data |
|
36 | self.dataOut.data = self.dataIn.data | |
| 37 | self.dataOut.utctime = self.dataIn.utctime |
|
37 | self.dataOut.utctime = self.dataIn.utctime | |
| 38 | self.dataOut.channelList = self.dataIn.channelList |
|
38 | self.dataOut.channelList = self.dataIn.channelList | |
| 39 | # self.dataOut.timeInterval = self.dataIn.timeInterval |
|
39 | # self.dataOut.timeInterval = self.dataIn.timeInterval | |
| 40 | self.dataOut.heightList = self.dataIn.heightList |
|
40 | self.dataOut.heightList = self.dataIn.heightList | |
| 41 | self.dataOut.nProfiles = self.dataIn.nProfiles |
|
41 | self.dataOut.nProfiles = self.dataIn.nProfiles | |
| 42 |
|
42 | |||
| 43 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
43 | self.dataOut.nCohInt = self.dataIn.nCohInt | |
| 44 | self.dataOut.ippSeconds = self.dataIn.ippSeconds |
|
44 | self.dataOut.ippSeconds = self.dataIn.ippSeconds | |
| 45 | self.dataOut.frequency = self.dataIn.frequency |
|
45 | self.dataOut.frequency = self.dataIn.frequency | |
| 46 |
|
46 | |||
| 47 | self.dataOut.azimuth = self.dataIn.azimuth |
|
47 | self.dataOut.azimuth = self.dataIn.azimuth | |
| 48 | self.dataOut.zenith = self.dataIn.zenith |
|
48 | self.dataOut.zenith = self.dataIn.zenith | |
| 49 |
|
49 | |||
| 50 | self.dataOut.beam.codeList = self.dataIn.beam.codeList |
|
50 | self.dataOut.beam.codeList = self.dataIn.beam.codeList | |
| 51 | self.dataOut.beam.azimuthList = self.dataIn.beam.azimuthList |
|
51 | self.dataOut.beam.azimuthList = self.dataIn.beam.azimuthList | |
| 52 | self.dataOut.beam.zenithList = self.dataIn.beam.zenithList |
|
52 | self.dataOut.beam.zenithList = self.dataIn.beam.zenithList | |
| 53 | # |
|
53 | # | |
| 54 | # pass# |
|
54 | # pass# | |
| 55 | # |
|
55 | # | |
| 56 | # def init(self): |
|
56 | # def init(self): | |
| 57 | # |
|
57 | # | |
| 58 | # |
|
58 | # | |
| 59 | # if self.dataIn.type == 'AMISR': |
|
59 | # if self.dataIn.type == 'AMISR': | |
| 60 | # self.__updateObjFromAmisrInput() |
|
60 | # self.__updateObjFromAmisrInput() | |
| 61 | # |
|
61 | # | |
| 62 | # if self.dataIn.type == 'Voltage': |
|
62 | # if self.dataIn.type == 'Voltage': | |
| 63 | # self.dataOut.copy(self.dataIn) |
|
63 | # self.dataOut.copy(self.dataIn) | |
| 64 | # # No necesita copiar en cada init() los atributos de dataIn |
|
64 | # # No necesita copiar en cada init() los atributos de dataIn | |
| 65 | # # la copia deberia hacerse por cada nuevo bloque de datos |
|
65 | # # la copia deberia hacerse por cada nuevo bloque de datos | |
| 66 |
|
66 | |||
| 67 | def selectChannels(self, channelList): |
|
67 | def selectChannels(self, channelList): | |
| 68 |
|
68 | |||
| 69 | channelIndexList = [] |
|
69 | channelIndexList = [] | |
| 70 |
|
70 | |||
| 71 | for channel in channelList: |
|
71 | for channel in channelList: | |
| 72 | if channel not in self.dataOut.channelList: |
|
72 | if channel not in self.dataOut.channelList: | |
| 73 | raise ValueError, "Channel %d is not in %s" %(channel, str(self.dataOut.channelList)) |
|
73 | raise ValueError, "Channel %d is not in %s" %(channel, str(self.dataOut.channelList)) | |
| 74 |
|
74 | |||
| 75 | index = self.dataOut.channelList.index(channel) |
|
75 | index = self.dataOut.channelList.index(channel) | |
| 76 | channelIndexList.append(index) |
|
76 | channelIndexList.append(index) | |
| 77 |
|
77 | |||
| 78 | self.selectChannelsByIndex(channelIndexList) |
|
78 | self.selectChannelsByIndex(channelIndexList) | |
| 79 |
|
79 | |||
| 80 | def selectChannelsByIndex(self, channelIndexList): |
|
80 | def selectChannelsByIndex(self, channelIndexList): | |
| 81 | """ |
|
81 | """ | |
| 82 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
82 | Selecciona un bloque de datos en base a canales segun el channelIndexList | |
| 83 |
|
83 | |||
| 84 | Input: |
|
84 | Input: | |
| 85 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
85 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] | |
| 86 |
|
86 | |||
| 87 | Affected: |
|
87 | Affected: | |
| 88 | self.dataOut.data |
|
88 | self.dataOut.data | |
| 89 | self.dataOut.channelIndexList |
|
89 | self.dataOut.channelIndexList | |
| 90 | self.dataOut.nChannels |
|
90 | self.dataOut.nChannels | |
| 91 | self.dataOut.m_ProcessingHeader.totalSpectra |
|
91 | self.dataOut.m_ProcessingHeader.totalSpectra | |
| 92 | self.dataOut.systemHeaderObj.numChannels |
|
92 | self.dataOut.systemHeaderObj.numChannels | |
| 93 | self.dataOut.m_ProcessingHeader.blockSize |
|
93 | self.dataOut.m_ProcessingHeader.blockSize | |
| 94 |
|
94 | |||
| 95 | Return: |
|
95 | Return: | |
| 96 | None |
|
96 | None | |
| 97 | """ |
|
97 | """ | |
| 98 |
|
98 | |||
| 99 | for channelIndex in channelIndexList: |
|
99 | for channelIndex in channelIndexList: | |
| 100 | if channelIndex not in self.dataOut.channelIndexList: |
|
100 | if channelIndex not in self.dataOut.channelIndexList: | |
| 101 | print channelIndexList |
|
101 | print channelIndexList | |
| 102 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
102 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex | |
| 103 |
|
103 | |||
| 104 | if self.dataOut.flagDataAsBlock: |
|
104 | if self.dataOut.flagDataAsBlock: | |
| 105 | """ |
|
105 | """ | |
| 106 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
106 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] | |
| 107 | """ |
|
107 | """ | |
| 108 | data = self.dataOut.data[channelIndexList,:,:] |
|
108 | data = self.dataOut.data[channelIndexList,:,:] | |
| 109 | else: |
|
109 | else: | |
| 110 | data = self.dataOut.data[channelIndexList,:] |
|
110 | data = self.dataOut.data[channelIndexList,:] | |
| 111 |
|
111 | |||
| 112 | self.dataOut.data = data |
|
112 | self.dataOut.data = data | |
| 113 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
113 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] | |
| 114 | # self.dataOut.nChannels = nChannels |
|
114 | # self.dataOut.nChannels = nChannels | |
| 115 |
|
115 | |||
| 116 | return 1 |
|
116 | return 1 | |
| 117 |
|
117 | |||
| 118 | def selectHeights(self, minHei=None, maxHei=None): |
|
118 | def selectHeights(self, minHei=None, maxHei=None): | |
| 119 | """ |
|
119 | """ | |
| 120 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
120 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango | |
| 121 | minHei <= height <= maxHei |
|
121 | minHei <= height <= maxHei | |
| 122 |
|
122 | |||
| 123 | Input: |
|
123 | Input: | |
| 124 | minHei : valor minimo de altura a considerar |
|
124 | minHei : valor minimo de altura a considerar | |
| 125 | maxHei : valor maximo de altura a considerar |
|
125 | maxHei : valor maximo de altura a considerar | |
| 126 |
|
126 | |||
| 127 | Affected: |
|
127 | Affected: | |
| 128 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
128 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex | |
| 129 |
|
129 | |||
| 130 | Return: |
|
130 | Return: | |
| 131 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
131 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 | |
| 132 | """ |
|
132 | """ | |
| 133 |
|
133 | |||
| 134 | if minHei == None: |
|
134 | if minHei == None: | |
| 135 | minHei = self.dataOut.heightList[0] |
|
135 | minHei = self.dataOut.heightList[0] | |
| 136 |
|
136 | |||
| 137 | if maxHei == None: |
|
137 | if maxHei == None: | |
| 138 | maxHei = self.dataOut.heightList[-1] |
|
138 | maxHei = self.dataOut.heightList[-1] | |
| 139 |
|
139 | |||
| 140 | if (minHei < self.dataOut.heightList[0]): |
|
140 | if (minHei < self.dataOut.heightList[0]): | |
| 141 | minHei = self.dataOut.heightList[0] |
|
141 | minHei = self.dataOut.heightList[0] | |
| 142 |
|
142 | |||
| 143 | if (maxHei > self.dataOut.heightList[-1]): |
|
143 | if (maxHei > self.dataOut.heightList[-1]): | |
| 144 | maxHei = self.dataOut.heightList[-1] |
|
144 | maxHei = self.dataOut.heightList[-1] | |
| 145 |
|
145 | |||
| 146 | minIndex = 0 |
|
146 | minIndex = 0 | |
| 147 | maxIndex = 0 |
|
147 | maxIndex = 0 | |
| 148 | heights = self.dataOut.heightList |
|
148 | heights = self.dataOut.heightList | |
| 149 |
|
149 | |||
| 150 | inda = numpy.where(heights >= minHei) |
|
150 | inda = numpy.where(heights >= minHei) | |
| 151 | indb = numpy.where(heights <= maxHei) |
|
151 | indb = numpy.where(heights <= maxHei) | |
| 152 |
|
152 | |||
| 153 | try: |
|
153 | try: | |
| 154 | minIndex = inda[0][0] |
|
154 | minIndex = inda[0][0] | |
| 155 | except: |
|
155 | except: | |
| 156 | minIndex = 0 |
|
156 | minIndex = 0 | |
| 157 |
|
157 | |||
| 158 | try: |
|
158 | try: | |
| 159 | maxIndex = indb[0][-1] |
|
159 | maxIndex = indb[0][-1] | |
| 160 | except: |
|
160 | except: | |
| 161 | maxIndex = len(heights) |
|
161 | maxIndex = len(heights) | |
| 162 |
|
162 | |||
| 163 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
163 | self.selectHeightsByIndex(minIndex, maxIndex) | |
| 164 |
|
164 | |||
| 165 | return 1 |
|
165 | return 1 | |
| 166 |
|
166 | |||
| 167 |
|
167 | |||
| 168 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
168 | def selectHeightsByIndex(self, minIndex, maxIndex): | |
| 169 | """ |
|
169 | """ | |
| 170 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
170 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango | |
| 171 | minIndex <= index <= maxIndex |
|
171 | minIndex <= index <= maxIndex | |
| 172 |
|
172 | |||
| 173 | Input: |
|
173 | Input: | |
| 174 | minIndex : valor de indice minimo de altura a considerar |
|
174 | minIndex : valor de indice minimo de altura a considerar | |
| 175 | maxIndex : valor de indice maximo de altura a considerar |
|
175 | maxIndex : valor de indice maximo de altura a considerar | |
| 176 |
|
176 | |||
| 177 | Affected: |
|
177 | Affected: | |
| 178 | self.dataOut.data |
|
178 | self.dataOut.data | |
| 179 | self.dataOut.heightList |
|
179 | self.dataOut.heightList | |
| 180 |
|
180 | |||
| 181 | Return: |
|
181 | Return: | |
| 182 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
182 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 | |
| 183 | """ |
|
183 | """ | |
| 184 |
|
184 | |||
| 185 | if (minIndex < 0) or (minIndex > maxIndex): |
|
185 | if (minIndex < 0) or (minIndex > maxIndex): | |
| 186 | raise ValueError, "Height index range (%d,%d) is not valid" % (minIndex, maxIndex) |
|
186 | raise ValueError, "Height index range (%d,%d) is not valid" % (minIndex, maxIndex) | |
| 187 |
|
187 | |||
| 188 | if (maxIndex >= self.dataOut.nHeights): |
|
188 | if (maxIndex >= self.dataOut.nHeights): | |
| 189 | maxIndex = self.dataOut.nHeights |
|
189 | maxIndex = self.dataOut.nHeights | |
| 190 |
|
190 | |||
| 191 | #voltage |
|
191 | #voltage | |
| 192 | if self.dataOut.flagDataAsBlock: |
|
192 | if self.dataOut.flagDataAsBlock: | |
| 193 | """ |
|
193 | """ | |
| 194 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
194 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] | |
| 195 | """ |
|
195 | """ | |
| 196 | data = self.dataOut.data[:,:, minIndex:maxIndex] |
|
196 | data = self.dataOut.data[:,:, minIndex:maxIndex] | |
| 197 | else: |
|
197 | else: | |
| 198 | data = self.dataOut.data[:, minIndex:maxIndex] |
|
198 | data = self.dataOut.data[:, minIndex:maxIndex] | |
| 199 |
|
199 | |||
| 200 | # firstHeight = self.dataOut.heightList[minIndex] |
|
200 | # firstHeight = self.dataOut.heightList[minIndex] | |
| 201 |
|
201 | |||
| 202 | self.dataOut.data = data |
|
202 | self.dataOut.data = data | |
| 203 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex] |
|
203 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex] | |
| 204 |
|
204 | |||
| 205 | if self.dataOut.nHeights <= 1: |
|
205 | if self.dataOut.nHeights <= 1: | |
| 206 | raise ValueError, "selectHeights: Too few heights. Current number of heights is %d" %(self.dataOut.nHeights) |
|
206 | raise ValueError, "selectHeights: Too few heights. Current number of heights is %d" %(self.dataOut.nHeights) | |
| 207 |
|
207 | |||
| 208 | return 1 |
|
208 | return 1 | |
| 209 |
|
209 | |||
| 210 |
|
210 | |||
| 211 | def filterByHeights(self, window): |
|
211 | def filterByHeights(self, window): | |
| 212 |
|
212 | |||
| 213 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
213 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] | |
| 214 |
|
214 | |||
| 215 | if window == None: |
|
215 | if window == None: | |
| 216 | window = (self.dataOut.radarControllerHeaderObj.txA/self.dataOut.radarControllerHeaderObj.nBaud) / deltaHeight |
|
216 | window = (self.dataOut.radarControllerHeaderObj.txA/self.dataOut.radarControllerHeaderObj.nBaud) / deltaHeight | |
| 217 |
|
217 | |||
| 218 | newdelta = deltaHeight * window |
|
218 | newdelta = deltaHeight * window | |
| 219 | r = self.dataOut.nHeights % window |
|
219 | r = self.dataOut.nHeights % window | |
| 220 | newheights = (self.dataOut.nHeights-r)/window |
|
220 | newheights = (self.dataOut.nHeights-r)/window | |
| 221 |
|
221 | |||
| 222 | if newheights <= 1: |
|
222 | if newheights <= 1: | |
| 223 | raise ValueError, "filterByHeights: Too few heights. Current number of heights is %d and window is %d" %(self.dataOut.nHeights, window) |
|
223 | raise ValueError, "filterByHeights: Too few heights. Current number of heights is %d and window is %d" %(self.dataOut.nHeights, window) | |
| 224 |
|
224 | |||
| 225 | if self.dataOut.flagDataAsBlock: |
|
225 | if self.dataOut.flagDataAsBlock: | |
| 226 | """ |
|
226 | """ | |
| 227 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
227 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] | |
| 228 | """ |
|
228 | """ | |
| 229 | buffer = self.dataOut.data[:, :, 0:self.dataOut.nHeights-r] |
|
229 | buffer = self.dataOut.data[:, :, 0:self.dataOut.nHeights-r] | |
| 230 | buffer = buffer.reshape(self.dataOut.nChannels,self.dataOut.nProfiles,self.dataOut.nHeights/window,window) |
|
230 | buffer = buffer.reshape(self.dataOut.nChannels,self.dataOut.nProfiles,self.dataOut.nHeights/window,window) | |
| 231 | buffer = numpy.sum(buffer,3) |
|
231 | buffer = numpy.sum(buffer,3) | |
| 232 |
|
232 | |||
| 233 | else: |
|
233 | else: | |
| 234 | buffer = self.dataOut.data[:,0:self.dataOut.nHeights-r] |
|
234 | buffer = self.dataOut.data[:,0:self.dataOut.nHeights-r] | |
| 235 | buffer = buffer.reshape(self.dataOut.nChannels,self.dataOut.nHeights/window,window) |
|
235 | buffer = buffer.reshape(self.dataOut.nChannels,self.dataOut.nHeights/window,window) | |
| 236 | buffer = numpy.sum(buffer,2) |
|
236 | buffer = numpy.sum(buffer,2) | |
| 237 |
|
237 | |||
| 238 | self.dataOut.data = buffer |
|
238 | self.dataOut.data = buffer | |
| 239 | self.dataOut.heightList = self.dataOut.heightList[0] + numpy.arange( newheights )*newdelta |
|
239 | self.dataOut.heightList = self.dataOut.heightList[0] + numpy.arange( newheights )*newdelta | |
| 240 | self.dataOut.windowOfFilter = window |
|
240 | self.dataOut.windowOfFilter = window | |
| 241 |
|
241 | |||
| 242 | def setH0(self, h0, deltaHeight = None): |
|
242 | def setH0(self, h0, deltaHeight = None): | |
| 243 |
|
243 | |||
| 244 | if not deltaHeight: |
|
244 | if not deltaHeight: | |
| 245 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
245 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] | |
| 246 |
|
246 | |||
| 247 | nHeights = self.dataOut.nHeights |
|
247 | nHeights = self.dataOut.nHeights | |
| 248 |
|
248 | |||
| 249 | newHeiRange = h0 + numpy.arange(nHeights)*deltaHeight |
|
249 | newHeiRange = h0 + numpy.arange(nHeights)*deltaHeight | |
| 250 |
|
250 | |||
| 251 | self.dataOut.heightList = newHeiRange |
|
251 | self.dataOut.heightList = newHeiRange | |
| 252 |
|
252 | |||
| 253 | def deFlip(self, channelList = []): |
|
253 | def deFlip(self, channelList = []): | |
| 254 |
|
254 | |||
| 255 | data = self.dataOut.data.copy() |
|
255 | data = self.dataOut.data.copy() | |
| 256 |
|
256 | |||
| 257 | if self.dataOut.flagDataAsBlock: |
|
257 | if self.dataOut.flagDataAsBlock: | |
| 258 | flip = self.flip |
|
258 | flip = self.flip | |
| 259 | profileList = range(self.dataOut.nProfiles) |
|
259 | profileList = range(self.dataOut.nProfiles) | |
| 260 |
|
260 | |||
| 261 | if not channelList: |
|
261 | if not channelList: | |
| 262 | for thisProfile in profileList: |
|
262 | for thisProfile in profileList: | |
| 263 | data[:,thisProfile,:] = data[:,thisProfile,:]*flip |
|
263 | data[:,thisProfile,:] = data[:,thisProfile,:]*flip | |
| 264 | flip *= -1.0 |
|
264 | flip *= -1.0 | |
| 265 | else: |
|
265 | else: | |
| 266 | for thisChannel in channelList: |
|
266 | for thisChannel in channelList: | |
| 267 | if thisChannel not in self.dataOut.channelList: |
|
267 | if thisChannel not in self.dataOut.channelList: | |
| 268 | continue |
|
268 | continue | |
| 269 |
|
269 | |||
| 270 | for thisProfile in profileList: |
|
270 | for thisProfile in profileList: | |
| 271 | data[thisChannel,thisProfile,:] = data[thisChannel,thisProfile,:]*flip |
|
271 | data[thisChannel,thisProfile,:] = data[thisChannel,thisProfile,:]*flip | |
| 272 | flip *= -1.0 |
|
272 | flip *= -1.0 | |
| 273 |
|
273 | |||
| 274 | self.flip = flip |
|
274 | self.flip = flip | |
| 275 |
|
275 | |||
| 276 | else: |
|
276 | else: | |
| 277 | if not channelList: |
|
277 | if not channelList: | |
| 278 | data[:,:] = data[:,:]*self.flip |
|
278 | data[:,:] = data[:,:]*self.flip | |
| 279 | else: |
|
279 | else: | |
| 280 | for thisChannel in channelList: |
|
280 | for thisChannel in channelList: | |
| 281 | if thisChannel not in self.dataOut.channelList: |
|
281 | if thisChannel not in self.dataOut.channelList: | |
| 282 | continue |
|
282 | continue | |
| 283 |
|
283 | |||
| 284 | data[thisChannel,:] = data[thisChannel,:]*self.flip |
|
284 | data[thisChannel,:] = data[thisChannel,:]*self.flip | |
| 285 |
|
285 | |||
| 286 | self.flip *= -1. |
|
286 | self.flip *= -1. | |
| 287 |
|
287 | |||
| 288 | self.dataOut.data = data |
|
288 | self.dataOut.data = data | |
| 289 |
|
289 | |||
| 290 | def setRadarFrequency(self, frequency=None): |
|
290 | def setRadarFrequency(self, frequency=None): | |
| 291 |
|
291 | |||
| 292 | if frequency != None: |
|
292 | if frequency != None: | |
| 293 | self.dataOut.frequency = frequency |
|
293 | self.dataOut.frequency = frequency | |
| 294 |
|
294 | |||
| 295 | return 1 |
|
295 | return 1 | |
| 296 |
|
296 | |||
| 297 | def interpolateHeights(self, topLim, botLim): |
|
297 | def interpolateHeights(self, topLim, botLim): | |
| 298 | #69 al 72 para julia |
|
298 | #69 al 72 para julia | |
| 299 | #82-84 para meteoros |
|
299 | #82-84 para meteoros | |
| 300 | if len(numpy.shape(self.dataOut.data))==2: |
|
300 | if len(numpy.shape(self.dataOut.data))==2: | |
| 301 | sampInterp = (self.dataOut.data[:,botLim-1] + self.dataOut.data[:,topLim+1])/2 |
|
301 | sampInterp = (self.dataOut.data[:,botLim-1] + self.dataOut.data[:,topLim+1])/2 | |
| 302 | sampInterp = numpy.transpose(numpy.tile(sampInterp,(topLim-botLim + 1,1))) |
|
302 | sampInterp = numpy.transpose(numpy.tile(sampInterp,(topLim-botLim + 1,1))) | |
| 303 | #self.dataOut.data[:,botLim:limSup+1] = sampInterp |
|
303 | #self.dataOut.data[:,botLim:limSup+1] = sampInterp | |
| 304 | self.dataOut.data[:,botLim:topLim+1] = sampInterp |
|
304 | self.dataOut.data[:,botLim:topLim+1] = sampInterp | |
| 305 | else: |
|
305 | else: | |
| 306 | nHeights = self.dataOut.data.shape[2] |
|
306 | nHeights = self.dataOut.data.shape[2] | |
| 307 | x = numpy.hstack((numpy.arange(botLim),numpy.arange(topLim+1,nHeights))) |
|
307 | x = numpy.hstack((numpy.arange(botLim),numpy.arange(topLim+1,nHeights))) | |
| 308 | y = self.dataOut.data[:,:,range(botLim)+range(topLim+1,nHeights)] |
|
308 | y = self.dataOut.data[:,:,range(botLim)+range(topLim+1,nHeights)] | |
| 309 | f = interpolate.interp1d(x, y, axis = 2) |
|
309 | f = interpolate.interp1d(x, y, axis = 2) | |
| 310 | xnew = numpy.arange(botLim,topLim+1) |
|
310 | xnew = numpy.arange(botLim,topLim+1) | |
| 311 | ynew = f(xnew) |
|
311 | ynew = f(xnew) | |
| 312 |
|
312 | |||
| 313 | self.dataOut.data[:,:,botLim:topLim+1] = ynew |
|
313 | self.dataOut.data[:,:,botLim:topLim+1] = ynew | |
| 314 |
|
314 | |||
| 315 | # import collections |
|
315 | # import collections | |
| 316 |
|
316 | |||
| 317 | class CohInt(Operation): |
|
317 | class CohInt(Operation): | |
| 318 |
|
318 | |||
| 319 | isConfig = False |
|
319 | isConfig = False | |
| 320 |
|
320 | |||
| 321 | __profIndex = 0 |
|
321 | __profIndex = 0 | |
| 322 | __withOverapping = False |
|
322 | __withOverapping = False | |
| 323 |
|
323 | |||
| 324 | __byTime = False |
|
324 | __byTime = False | |
| 325 | __initime = None |
|
325 | __initime = None | |
| 326 | __lastdatatime = None |
|
326 | __lastdatatime = None | |
| 327 | __integrationtime = None |
|
327 | __integrationtime = None | |
| 328 |
|
328 | |||
| 329 | __buffer = None |
|
329 | __buffer = None | |
| 330 |
|
330 | |||
| 331 | __dataReady = False |
|
331 | __dataReady = False | |
| 332 |
|
332 | |||
| 333 | n = None |
|
333 | n = None | |
| 334 |
|
334 | |||
|
|
335 | parameters = { | |||
|
|
336 | 'n': 'int', | |||
|
|
337 | 'timeInterval':'float', | |||
|
|
338 | 'overlapping': 'boolean', | |||
|
|
339 | 'byblock': 'boolean' | |||
|
|
340 | } | |||
| 335 |
|
341 | |||
| 336 | def __init__(self, **kwargs): |
|
342 | def __init__(self, **kwargs): | |
| 337 |
|
343 | |||
| 338 | Operation.__init__(self, **kwargs) |
|
344 | Operation.__init__(self, **kwargs) | |
| 339 |
|
345 | |||
| 340 | # self.isConfig = False |
|
346 | # self.isConfig = False | |
| 341 |
|
347 | |||
| 342 | def setup(self, n=None, timeInterval=None, overlapping=False, byblock=False): |
|
348 | def setup(self, n=None, timeInterval=None, overlapping=False, byblock=False): | |
| 343 | """ |
|
349 | """ | |
| 344 | Set the parameters of the integration class. |
|
350 | Set the parameters of the integration class. | |
| 345 |
|
351 | |||
| 346 | Inputs: |
|
352 | Inputs: | |
| 347 |
|
353 | |||
| 348 | n : Number of coherent integrations |
|
354 | n : Number of coherent integrations | |
| 349 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
355 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work | |
| 350 | overlapping : |
|
356 | overlapping : | |
| 351 |
|
||||
| 352 | """ |
|
357 | """ | |
| 353 |
|
358 | |||
| 354 | self.__initime = None |
|
359 | self.__initime = None | |
| 355 | self.__lastdatatime = 0 |
|
360 | self.__lastdatatime = 0 | |
| 356 | self.__buffer = None |
|
361 | self.__buffer = None | |
| 357 | self.__dataReady = False |
|
362 | self.__dataReady = False | |
| 358 | self.byblock = byblock |
|
363 | self.byblock = byblock | |
| 359 |
|
364 | |||
| 360 | if n == None and timeInterval == None: |
|
365 | if n == None and timeInterval == None: | |
| 361 | raise ValueError, "n or timeInterval should be specified ..." |
|
366 | raise ValueError, "n or timeInterval should be specified ..." | |
| 362 |
|
367 | |||
| 363 | if n != None: |
|
368 | if n != None: | |
| 364 | self.n = n |
|
369 | self.n = n | |
| 365 | self.__byTime = False |
|
370 | self.__byTime = False | |
| 366 | else: |
|
371 | else: | |
| 367 | self.__integrationtime = timeInterval #* 60. #if (type(timeInterval)!=integer) -> change this line |
|
372 | self.__integrationtime = timeInterval #* 60. #if (type(timeInterval)!=integer) -> change this line | |
| 368 | self.n = 9999 |
|
373 | self.n = 9999 | |
| 369 | self.__byTime = True |
|
374 | self.__byTime = True | |
| 370 |
|
375 | |||
| 371 | if overlapping: |
|
376 | if overlapping: | |
| 372 | self.__withOverapping = True |
|
377 | self.__withOverapping = True | |
| 373 | self.__buffer = None |
|
378 | self.__buffer = None | |
| 374 | else: |
|
379 | else: | |
| 375 | self.__withOverapping = False |
|
380 | self.__withOverapping = False | |
| 376 | self.__buffer = 0 |
|
381 | self.__buffer = 0 | |
| 377 |
|
382 | |||
| 378 | self.__profIndex = 0 |
|
383 | self.__profIndex = 0 | |
| 379 |
|
384 | |||
| 380 | def putData(self, data): |
|
385 | def putData(self, data): | |
| 381 |
|
386 | |||
| 382 | """ |
|
387 | """ | |
| 383 | Add a profile to the __buffer and increase in one the __profileIndex |
|
388 | Add a profile to the __buffer and increase in one the __profileIndex | |
| 384 |
|
389 | |||
| 385 | """ |
|
390 | """ | |
| 386 |
|
391 | |||
| 387 | if not self.__withOverapping: |
|
392 | if not self.__withOverapping: | |
| 388 | self.__buffer += data.copy() |
|
393 | self.__buffer += data.copy() | |
| 389 | self.__profIndex += 1 |
|
394 | self.__profIndex += 1 | |
| 390 | return |
|
395 | return | |
| 391 |
|
396 | |||
| 392 | #Overlapping data |
|
397 | #Overlapping data | |
| 393 | nChannels, nHeis = data.shape |
|
398 | nChannels, nHeis = data.shape | |
| 394 | data = numpy.reshape(data, (1, nChannels, nHeis)) |
|
399 | data = numpy.reshape(data, (1, nChannels, nHeis)) | |
| 395 |
|
400 | |||
| 396 | #If the buffer is empty then it takes the data value |
|
401 | #If the buffer is empty then it takes the data value | |
| 397 | if self.__buffer is None: |
|
402 | if self.__buffer is None: | |
| 398 | self.__buffer = data |
|
403 | self.__buffer = data | |
| 399 | self.__profIndex += 1 |
|
404 | self.__profIndex += 1 | |
| 400 | return |
|
405 | return | |
| 401 |
|
406 | |||
| 402 | #If the buffer length is lower than n then stakcing the data value |
|
407 | #If the buffer length is lower than n then stakcing the data value | |
| 403 | if self.__profIndex < self.n: |
|
408 | if self.__profIndex < self.n: | |
| 404 | self.__buffer = numpy.vstack((self.__buffer, data)) |
|
409 | self.__buffer = numpy.vstack((self.__buffer, data)) | |
| 405 | self.__profIndex += 1 |
|
410 | self.__profIndex += 1 | |
| 406 | return |
|
411 | return | |
| 407 |
|
412 | |||
| 408 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
413 | #If the buffer length is equal to n then replacing the last buffer value with the data value | |
| 409 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) |
|
414 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) | |
| 410 | self.__buffer[self.n-1] = data |
|
415 | self.__buffer[self.n-1] = data | |
| 411 | self.__profIndex = self.n |
|
416 | self.__profIndex = self.n | |
| 412 | return |
|
417 | return | |
| 413 |
|
418 | |||
| 414 |
|
419 | |||
| 415 | def pushData(self): |
|
420 | def pushData(self): | |
| 416 | """ |
|
421 | """ | |
| 417 | Return the sum of the last profiles and the profiles used in the sum. |
|
422 | Return the sum of the last profiles and the profiles used in the sum. | |
| 418 |
|
423 | |||
| 419 | Affected: |
|
424 | Affected: | |
| 420 |
|
425 | |||
| 421 | self.__profileIndex |
|
426 | self.__profileIndex | |
| 422 |
|
427 | |||
| 423 | """ |
|
428 | """ | |
| 424 |
|
429 | |||
| 425 | if not self.__withOverapping: |
|
430 | if not self.__withOverapping: | |
| 426 | data = self.__buffer |
|
431 | data = self.__buffer | |
| 427 | n = self.__profIndex |
|
432 | n = self.__profIndex | |
| 428 |
|
433 | |||
| 429 | self.__buffer = 0 |
|
434 | self.__buffer = 0 | |
| 430 | self.__profIndex = 0 |
|
435 | self.__profIndex = 0 | |
| 431 |
|
436 | |||
| 432 | return data, n |
|
437 | return data, n | |
| 433 |
|
438 | |||
| 434 | #Integration with Overlapping |
|
439 | #Integration with Overlapping | |
| 435 | data = numpy.sum(self.__buffer, axis=0) |
|
440 | data = numpy.sum(self.__buffer, axis=0) | |
| 436 | n = self.__profIndex |
|
441 | n = self.__profIndex | |
| 437 |
|
442 | |||
| 438 | return data, n |
|
443 | return data, n | |
| 439 |
|
444 | |||
| 440 | def byProfiles(self, data): |
|
445 | def byProfiles(self, data): | |
| 441 |
|
446 | |||
| 442 | self.__dataReady = False |
|
447 | self.__dataReady = False | |
| 443 | avgdata = None |
|
448 | avgdata = None | |
| 444 | # n = None |
|
449 | # n = None | |
| 445 |
|
450 | |||
| 446 | self.putData(data) |
|
451 | self.putData(data) | |
| 447 |
|
452 | |||
| 448 | if self.__profIndex == self.n: |
|
453 | if self.__profIndex == self.n: | |
| 449 |
|
454 | |||
| 450 | avgdata, n = self.pushData() |
|
455 | avgdata, n = self.pushData() | |
| 451 | self.__dataReady = True |
|
456 | self.__dataReady = True | |
| 452 |
|
457 | |||
| 453 | return avgdata |
|
458 | return avgdata | |
| 454 |
|
459 | |||
| 455 | def byTime(self, data, datatime): |
|
460 | def byTime(self, data, datatime): | |
| 456 |
|
461 | |||
| 457 | self.__dataReady = False |
|
462 | self.__dataReady = False | |
| 458 | avgdata = None |
|
463 | avgdata = None | |
| 459 | n = None |
|
464 | n = None | |
| 460 |
|
465 | |||
| 461 | self.putData(data) |
|
466 | self.putData(data) | |
| 462 |
|
467 | |||
| 463 | if (datatime - self.__initime) >= self.__integrationtime: |
|
468 | if (datatime - self.__initime) >= self.__integrationtime: | |
| 464 | avgdata, n = self.pushData() |
|
469 | avgdata, n = self.pushData() | |
| 465 | self.n = n |
|
470 | self.n = n | |
| 466 | self.__dataReady = True |
|
471 | self.__dataReady = True | |
| 467 |
|
472 | |||
| 468 | return avgdata |
|
473 | return avgdata | |
| 469 |
|
474 | |||
| 470 | def integrate(self, data, datatime=None): |
|
475 | def integrate(self, data, datatime=None): | |
| 471 |
|
476 | |||
| 472 | if self.__initime == None: |
|
477 | if self.__initime == None: | |
| 473 | self.__initime = datatime |
|
478 | self.__initime = datatime | |
| 474 |
|
479 | |||
| 475 | if self.__byTime: |
|
480 | if self.__byTime: | |
| 476 | avgdata = self.byTime(data, datatime) |
|
481 | avgdata = self.byTime(data, datatime) | |
| 477 | else: |
|
482 | else: | |
| 478 | avgdata = self.byProfiles(data) |
|
483 | avgdata = self.byProfiles(data) | |
| 479 |
|
484 | |||
| 480 |
|
485 | |||
| 481 | self.__lastdatatime = datatime |
|
486 | self.__lastdatatime = datatime | |
| 482 |
|
487 | |||
| 483 | if avgdata is None: |
|
488 | if avgdata is None: | |
| 484 | return None, None |
|
489 | return None, None | |
| 485 |
|
490 | |||
| 486 | avgdatatime = self.__initime |
|
491 | avgdatatime = self.__initime | |
| 487 |
|
492 | |||
| 488 | deltatime = datatime -self.__lastdatatime |
|
493 | deltatime = datatime -self.__lastdatatime | |
| 489 |
|
494 | |||
| 490 | if not self.__withOverapping: |
|
495 | if not self.__withOverapping: | |
| 491 | self.__initime = datatime |
|
496 | self.__initime = datatime | |
| 492 | else: |
|
497 | else: | |
| 493 | self.__initime += deltatime |
|
498 | self.__initime += deltatime | |
| 494 |
|
499 | |||
| 495 | return avgdata, avgdatatime |
|
500 | return avgdata, avgdatatime | |
| 496 |
|
501 | |||
| 497 | def integrateByBlock(self, dataOut): |
|
502 | def integrateByBlock(self, dataOut): | |
| 498 |
|
503 | |||
| 499 | times = int(dataOut.data.shape[1]/self.n) |
|
504 | times = int(dataOut.data.shape[1]/self.n) | |
| 500 | avgdata = numpy.zeros((dataOut.nChannels, times, dataOut.nHeights), dtype=numpy.complex) |
|
505 | avgdata = numpy.zeros((dataOut.nChannels, times, dataOut.nHeights), dtype=numpy.complex) | |
| 501 |
|
506 | |||
| 502 | id_min = 0 |
|
507 | id_min = 0 | |
| 503 | id_max = self.n |
|
508 | id_max = self.n | |
| 504 |
|
509 | |||
| 505 | for i in range(times): |
|
510 | for i in range(times): | |
| 506 | junk = dataOut.data[:,id_min:id_max,:] |
|
511 | junk = dataOut.data[:,id_min:id_max,:] | |
| 507 | avgdata[:,i,:] = junk.sum(axis=1) |
|
512 | avgdata[:,i,:] = junk.sum(axis=1) | |
| 508 | id_min += self.n |
|
513 | id_min += self.n | |
| 509 | id_max += self.n |
|
514 | id_max += self.n | |
| 510 |
|
515 | |||
| 511 | timeInterval = dataOut.ippSeconds*self.n |
|
516 | timeInterval = dataOut.ippSeconds*self.n | |
| 512 | avgdatatime = (times - 1) * timeInterval + dataOut.utctime |
|
517 | avgdatatime = (times - 1) * timeInterval + dataOut.utctime | |
| 513 | self.__dataReady = True |
|
518 | self.__dataReady = True | |
| 514 | return avgdata, avgdatatime |
|
519 | return avgdata, avgdatatime | |
| 515 |
|
520 | |||
| 516 | def run(self, dataOut, **kwargs): |
|
521 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False, byblock=False): | |
| 517 |
|
522 | |||
| 518 | if not self.isConfig: |
|
523 | if not self.isConfig: | |
| 519 | self.setup(**kwargs) |
|
524 | self.setup(n=n, timeInterval=timeInterval, overlapping=overlapping, byblock=byblock) | |
| 520 | self.isConfig = True |
|
525 | self.isConfig = True | |
| 521 |
|
526 | |||
| 522 | if dataOut.flagDataAsBlock: |
|
527 | if dataOut.flagDataAsBlock: | |
| 523 | """ |
|
528 | """ | |
| 524 | Si la data es leida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
529 | Si la data es leida por bloques, dimension = [nChannels, nProfiles, nHeis] | |
| 525 | """ |
|
530 | """ | |
| 526 | avgdata, avgdatatime = self.integrateByBlock(dataOut) |
|
531 | avgdata, avgdatatime = self.integrateByBlock(dataOut) | |
| 527 | dataOut.nProfiles /= self.n |
|
532 | dataOut.nProfiles /= self.n | |
| 528 | else: |
|
533 | else: | |
| 529 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) |
|
534 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) | |
| 530 |
|
535 | |||
| 531 | # dataOut.timeInterval *= n |
|
536 | # dataOut.timeInterval *= n | |
| 532 | dataOut.flagNoData = True |
|
537 | dataOut.flagNoData = True | |
| 533 |
|
538 | |||
| 534 | if self.__dataReady: |
|
539 | if self.__dataReady: | |
| 535 | dataOut.data = avgdata |
|
540 | dataOut.data = avgdata | |
| 536 | dataOut.nCohInt *= self.n |
|
541 | dataOut.nCohInt *= self.n | |
| 537 | dataOut.utctime = avgdatatime |
|
542 | dataOut.utctime = avgdatatime | |
| 538 | # dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt |
|
543 | # dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt | |
| 539 | dataOut.flagNoData = False |
|
544 | dataOut.flagNoData = False | |
| 540 |
|
545 | |||
| 541 | class Decoder(Operation): |
|
546 | class Decoder(Operation): | |
| 542 |
|
547 | |||
| 543 | isConfig = False |
|
548 | isConfig = False | |
| 544 | __profIndex = 0 |
|
549 | __profIndex = 0 | |
| 545 |
|
550 | |||
| 546 | code = None |
|
551 | code = None | |
| 547 |
|
552 | |||
| 548 | nCode = None |
|
553 | nCode = None | |
| 549 | nBaud = None |
|
554 | nBaud = None | |
| 550 |
|
555 | |||
| 551 |
|
556 | |||
| 552 | def __init__(self, **kwargs): |
|
557 | def __init__(self, **kwargs): | |
| 553 |
|
558 | |||
| 554 | Operation.__init__(self, **kwargs) |
|
559 | Operation.__init__(self, **kwargs) | |
| 555 |
|
560 | |||
| 556 | self.times = None |
|
561 | self.times = None | |
| 557 | self.osamp = None |
|
562 | self.osamp = None | |
| 558 | # self.__setValues = False |
|
563 | # self.__setValues = False | |
| 559 | self.isConfig = False |
|
564 | self.isConfig = False | |
| 560 |
|
565 | |||
| 561 | def setup(self, code, osamp, dataOut): |
|
566 | def setup(self, code, osamp, dataOut): | |
| 562 |
|
567 | |||
| 563 | self.__profIndex = 0 |
|
568 | self.__profIndex = 0 | |
| 564 |
|
569 | |||
| 565 | self.code = code |
|
570 | self.code = code | |
| 566 |
|
571 | |||
| 567 | self.nCode = len(code) |
|
572 | self.nCode = len(code) | |
| 568 | self.nBaud = len(code[0]) |
|
573 | self.nBaud = len(code[0]) | |
| 569 |
|
574 | |||
| 570 | if (osamp != None) and (osamp >1): |
|
575 | if (osamp != None) and (osamp >1): | |
| 571 | self.osamp = osamp |
|
576 | self.osamp = osamp | |
| 572 | self.code = numpy.repeat(code, repeats=self.osamp, axis=1) |
|
577 | self.code = numpy.repeat(code, repeats=self.osamp, axis=1) | |
| 573 | self.nBaud = self.nBaud*self.osamp |
|
578 | self.nBaud = self.nBaud*self.osamp | |
| 574 |
|
579 | |||
| 575 | self.__nChannels = dataOut.nChannels |
|
580 | self.__nChannels = dataOut.nChannels | |
| 576 | self.__nProfiles = dataOut.nProfiles |
|
581 | self.__nProfiles = dataOut.nProfiles | |
| 577 | self.__nHeis = dataOut.nHeights |
|
582 | self.__nHeis = dataOut.nHeights | |
| 578 |
|
583 | |||
| 579 | if self.__nHeis < self.nBaud: |
|
584 | if self.__nHeis < self.nBaud: | |
| 580 | raise ValueError, 'Number of heights (%d) should be greater than number of bauds (%d)' %(self.__nHeis, self.nBaud) |
|
585 | raise ValueError, 'Number of heights (%d) should be greater than number of bauds (%d)' %(self.__nHeis, self.nBaud) | |
| 581 |
|
586 | |||
| 582 | #Frequency |
|
587 | #Frequency | |
| 583 | __codeBuffer = numpy.zeros((self.nCode, self.__nHeis), dtype=numpy.complex) |
|
588 | __codeBuffer = numpy.zeros((self.nCode, self.__nHeis), dtype=numpy.complex) | |
| 584 |
|
589 | |||
| 585 | __codeBuffer[:,0:self.nBaud] = self.code |
|
590 | __codeBuffer[:,0:self.nBaud] = self.code | |
| 586 |
|
591 | |||
| 587 | self.fft_code = numpy.conj(numpy.fft.fft(__codeBuffer, axis=1)) |
|
592 | self.fft_code = numpy.conj(numpy.fft.fft(__codeBuffer, axis=1)) | |
| 588 |
|
593 | |||
| 589 | if dataOut.flagDataAsBlock: |
|
594 | if dataOut.flagDataAsBlock: | |
| 590 |
|
595 | |||
| 591 | self.ndatadec = self.__nHeis #- self.nBaud + 1 |
|
596 | self.ndatadec = self.__nHeis #- self.nBaud + 1 | |
| 592 |
|
597 | |||
| 593 | self.datadecTime = numpy.zeros((self.__nChannels, self.__nProfiles, self.ndatadec), dtype=numpy.complex) |
|
598 | self.datadecTime = numpy.zeros((self.__nChannels, self.__nProfiles, self.ndatadec), dtype=numpy.complex) | |
| 594 |
|
599 | |||
| 595 | else: |
|
600 | else: | |
| 596 |
|
601 | |||
| 597 | #Time |
|
602 | #Time | |
| 598 | self.ndatadec = self.__nHeis #- self.nBaud + 1 |
|
603 | self.ndatadec = self.__nHeis #- self.nBaud + 1 | |
| 599 |
|
604 | |||
| 600 | self.datadecTime = numpy.zeros((self.__nChannels, self.ndatadec), dtype=numpy.complex) |
|
605 | self.datadecTime = numpy.zeros((self.__nChannels, self.ndatadec), dtype=numpy.complex) | |
| 601 |
|
606 | |||
| 602 | def __convolutionInFreq(self, data): |
|
607 | def __convolutionInFreq(self, data): | |
| 603 |
|
608 | |||
| 604 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
609 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) | |
| 605 |
|
610 | |||
| 606 | fft_data = numpy.fft.fft(data, axis=1) |
|
611 | fft_data = numpy.fft.fft(data, axis=1) | |
| 607 |
|
612 | |||
| 608 | conv = fft_data*fft_code |
|
613 | conv = fft_data*fft_code | |
| 609 |
|
614 | |||
| 610 | data = numpy.fft.ifft(conv,axis=1) |
|
615 | data = numpy.fft.ifft(conv,axis=1) | |
| 611 |
|
616 | |||
| 612 | return data |
|
617 | return data | |
| 613 |
|
618 | |||
| 614 | def __convolutionInFreqOpt(self, data): |
|
619 | def __convolutionInFreqOpt(self, data): | |
| 615 |
|
620 | |||
| 616 | raise NotImplementedError |
|
621 | raise NotImplementedError | |
| 617 |
|
622 | |||
| 618 | def __convolutionInTime(self, data): |
|
623 | def __convolutionInTime(self, data): | |
| 619 |
|
624 | |||
| 620 | code = self.code[self.__profIndex] |
|
625 | code = self.code[self.__profIndex] | |
| 621 |
|
626 | |||
| 622 | for i in range(self.__nChannels): |
|
627 | for i in range(self.__nChannels): | |
| 623 | self.datadecTime[i,:] = numpy.correlate(data[i,:], code, mode='full')[self.nBaud-1:] |
|
628 | self.datadecTime[i,:] = numpy.correlate(data[i,:], code, mode='full')[self.nBaud-1:] | |
| 624 |
|
629 | |||
| 625 | return self.datadecTime |
|
630 | return self.datadecTime | |
| 626 |
|
631 | |||
| 627 | def __convolutionByBlockInTime(self, data): |
|
632 | def __convolutionByBlockInTime(self, data): | |
| 628 |
|
633 | |||
| 629 | repetitions = self.__nProfiles / self.nCode |
|
634 | repetitions = self.__nProfiles / self.nCode | |
| 630 |
|
635 | |||
| 631 | junk = numpy.lib.stride_tricks.as_strided(self.code, (repetitions, self.code.size), (0, self.code.itemsize)) |
|
636 | junk = numpy.lib.stride_tricks.as_strided(self.code, (repetitions, self.code.size), (0, self.code.itemsize)) | |
| 632 | junk = junk.flatten() |
|
637 | junk = junk.flatten() | |
| 633 | code_block = numpy.reshape(junk, (self.nCode*repetitions, self.nBaud)) |
|
638 | code_block = numpy.reshape(junk, (self.nCode*repetitions, self.nBaud)) | |
| 634 |
|
639 | |||
| 635 | for i in range(self.__nChannels): |
|
640 | for i in range(self.__nChannels): | |
| 636 | for j in range(self.__nProfiles): |
|
641 | for j in range(self.__nProfiles): | |
| 637 | self.datadecTime[i,j,:] = numpy.correlate(data[i,j,:], code_block[j,:], mode='full')[self.nBaud-1:] |
|
642 | self.datadecTime[i,j,:] = numpy.correlate(data[i,j,:], code_block[j,:], mode='full')[self.nBaud-1:] | |
| 638 |
|
643 | |||
| 639 | return self.datadecTime |
|
644 | return self.datadecTime | |
| 640 |
|
645 | |||
| 641 | def __convolutionByBlockInFreq(self, data): |
|
646 | def __convolutionByBlockInFreq(self, data): | |
| 642 |
|
647 | |||
| 643 | raise NotImplementedError, "Decoder by frequency fro Blocks not implemented" |
|
648 | raise NotImplementedError, "Decoder by frequency fro Blocks not implemented" | |
| 644 |
|
649 | |||
| 645 |
|
650 | |||
| 646 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
651 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) | |
| 647 |
|
652 | |||
| 648 | fft_data = numpy.fft.fft(data, axis=2) |
|
653 | fft_data = numpy.fft.fft(data, axis=2) | |
| 649 |
|
654 | |||
| 650 | conv = fft_data*fft_code |
|
655 | conv = fft_data*fft_code | |
| 651 |
|
656 | |||
| 652 | data = numpy.fft.ifft(conv,axis=2) |
|
657 | data = numpy.fft.ifft(conv,axis=2) | |
| 653 |
|
658 | |||
| 654 | return data |
|
659 | return data | |
| 655 |
|
660 | |||
| 656 | def run(self, dataOut, code=None, nCode=None, nBaud=None, mode = 0, osamp=None, times=None): |
|
661 | def run(self, dataOut, code=None, nCode=None, nBaud=None, mode = 0, osamp=None, times=None): | |
| 657 |
|
662 | |||
| 658 | if dataOut.flagDecodeData: |
|
663 | if dataOut.flagDecodeData: | |
| 659 | print "This data is already decoded, recoding again ..." |
|
664 | print "This data is already decoded, recoding again ..." | |
| 660 |
|
665 | |||
| 661 | if not self.isConfig: |
|
666 | if not self.isConfig: | |
| 662 |
|
667 | |||
| 663 | if code is None: |
|
668 | if code is None: | |
| 664 | if dataOut.code is None: |
|
669 | if dataOut.code is None: | |
| 665 | raise ValueError, "Code could not be read from %s instance. Enter a value in Code parameter" %dataOut.type |
|
670 | raise ValueError, "Code could not be read from %s instance. Enter a value in Code parameter" %dataOut.type | |
| 666 |
|
671 | |||
| 667 | code = dataOut.code |
|
672 | code = dataOut.code | |
| 668 | else: |
|
673 | else: | |
| 669 | code = numpy.array(code).reshape(nCode,nBaud) |
|
674 | code = numpy.array(code).reshape(nCode,nBaud) | |
| 670 |
|
675 | |||
| 671 | self.setup(code, osamp, dataOut) |
|
676 | self.setup(code, osamp, dataOut) | |
| 672 |
|
677 | |||
| 673 | self.isConfig = True |
|
678 | self.isConfig = True | |
| 674 |
|
679 | |||
| 675 | if mode == 3: |
|
680 | if mode == 3: | |
| 676 | sys.stderr.write("Decoder Warning: mode=%d is not valid, using mode=0\n" %mode) |
|
681 | sys.stderr.write("Decoder Warning: mode=%d is not valid, using mode=0\n" %mode) | |
| 677 |
|
682 | |||
| 678 | if times != None: |
|
683 | if times != None: | |
| 679 | sys.stderr.write("Decoder Warning: Argument 'times' in not used anymore\n") |
|
684 | sys.stderr.write("Decoder Warning: Argument 'times' in not used anymore\n") | |
| 680 |
|
685 | |||
| 681 | if self.code is None: |
|
686 | if self.code is None: | |
| 682 | print "Fail decoding: Code is not defined." |
|
687 | print "Fail decoding: Code is not defined." | |
| 683 | return |
|
688 | return | |
| 684 |
|
689 | |||
| 685 | datadec = None |
|
690 | datadec = None | |
| 686 | if mode == 3: |
|
691 | if mode == 3: | |
| 687 | mode = 0 |
|
692 | mode = 0 | |
| 688 |
|
693 | |||
| 689 | if dataOut.flagDataAsBlock: |
|
694 | if dataOut.flagDataAsBlock: | |
| 690 | """ |
|
695 | """ | |
| 691 | Decoding when data have been read as block, |
|
696 | Decoding when data have been read as block, | |
| 692 | """ |
|
697 | """ | |
| 693 |
|
698 | |||
| 694 | if mode == 0: |
|
699 | if mode == 0: | |
| 695 | datadec = self.__convolutionByBlockInTime(dataOut.data) |
|
700 | datadec = self.__convolutionByBlockInTime(dataOut.data) | |
| 696 | if mode == 1: |
|
701 | if mode == 1: | |
| 697 | datadec = self.__convolutionByBlockInFreq(dataOut.data) |
|
702 | datadec = self.__convolutionByBlockInFreq(dataOut.data) | |
| 698 | else: |
|
703 | else: | |
| 699 | """ |
|
704 | """ | |
| 700 | Decoding when data have been read profile by profile |
|
705 | Decoding when data have been read profile by profile | |
| 701 | """ |
|
706 | """ | |
| 702 | if mode == 0: |
|
707 | if mode == 0: | |
| 703 | datadec = self.__convolutionInTime(dataOut.data) |
|
708 | datadec = self.__convolutionInTime(dataOut.data) | |
| 704 |
|
709 | |||
| 705 | if mode == 1: |
|
710 | if mode == 1: | |
| 706 | datadec = self.__convolutionInFreq(dataOut.data) |
|
711 | datadec = self.__convolutionInFreq(dataOut.data) | |
| 707 |
|
712 | |||
| 708 | if mode == 2: |
|
713 | if mode == 2: | |
| 709 | datadec = self.__convolutionInFreqOpt(dataOut.data) |
|
714 | datadec = self.__convolutionInFreqOpt(dataOut.data) | |
| 710 |
|
715 | |||
| 711 | if datadec is None: |
|
716 | if datadec is None: | |
| 712 | raise ValueError, "Codification mode selected is not valid: mode=%d. Try selecting 0 or 1" %mode |
|
717 | raise ValueError, "Codification mode selected is not valid: mode=%d. Try selecting 0 or 1" %mode | |
| 713 |
|
718 | |||
| 714 | dataOut.code = self.code |
|
719 | dataOut.code = self.code | |
| 715 | dataOut.nCode = self.nCode |
|
720 | dataOut.nCode = self.nCode | |
| 716 | dataOut.nBaud = self.nBaud |
|
721 | dataOut.nBaud = self.nBaud | |
| 717 |
|
722 | |||
| 718 | dataOut.data = datadec |
|
723 | dataOut.data = datadec | |
| 719 |
|
724 | |||
| 720 | dataOut.heightList = dataOut.heightList[0:datadec.shape[-1]] |
|
725 | dataOut.heightList = dataOut.heightList[0:datadec.shape[-1]] | |
| 721 |
|
726 | |||
| 722 | dataOut.flagDecodeData = True #asumo q la data esta decodificada |
|
727 | dataOut.flagDecodeData = True #asumo q la data esta decodificada | |
| 723 |
|
728 | |||
| 724 | if self.__profIndex == self.nCode-1: |
|
729 | if self.__profIndex == self.nCode-1: | |
| 725 | self.__profIndex = 0 |
|
730 | self.__profIndex = 0 | |
| 726 | return 1 |
|
731 | return 1 | |
| 727 |
|
732 | |||
| 728 | self.__profIndex += 1 |
|
733 | self.__profIndex += 1 | |
| 729 |
|
734 | |||
| 730 | return 1 |
|
735 | return 1 | |
| 731 | # dataOut.flagDeflipData = True #asumo q la data no esta sin flip |
|
736 | # dataOut.flagDeflipData = True #asumo q la data no esta sin flip | |
| 732 |
|
737 | |||
| 733 |
|
738 | |||
| 734 | class ProfileConcat(Operation): |
|
739 | class ProfileConcat(Operation): | |
| 735 |
|
740 | |||
| 736 | isConfig = False |
|
741 | isConfig = False | |
| 737 | buffer = None |
|
742 | buffer = None | |
| 738 |
|
743 | |||
| 739 | def __init__(self, **kwargs): |
|
744 | def __init__(self, **kwargs): | |
| 740 |
|
745 | |||
| 741 | Operation.__init__(self, **kwargs) |
|
746 | Operation.__init__(self, **kwargs) | |
| 742 | self.profileIndex = 0 |
|
747 | self.profileIndex = 0 | |
| 743 |
|
748 | |||
| 744 | def reset(self): |
|
749 | def reset(self): | |
| 745 | self.buffer = numpy.zeros_like(self.buffer) |
|
750 | self.buffer = numpy.zeros_like(self.buffer) | |
| 746 | self.start_index = 0 |
|
751 | self.start_index = 0 | |
| 747 | self.times = 1 |
|
752 | self.times = 1 | |
| 748 |
|
753 | |||
| 749 | def setup(self, data, m, n=1): |
|
754 | def setup(self, data, m, n=1): | |
| 750 | self.buffer = numpy.zeros((data.shape[0],data.shape[1]*m),dtype=type(data[0,0])) |
|
755 | self.buffer = numpy.zeros((data.shape[0],data.shape[1]*m),dtype=type(data[0,0])) | |
| 751 | self.nHeights = data.shape[1]#.nHeights |
|
756 | self.nHeights = data.shape[1]#.nHeights | |
| 752 | self.start_index = 0 |
|
757 | self.start_index = 0 | |
| 753 | self.times = 1 |
|
758 | self.times = 1 | |
| 754 |
|
759 | |||
| 755 | def concat(self, data): |
|
760 | def concat(self, data): | |
| 756 |
|
761 | |||
| 757 | self.buffer[:,self.start_index:self.nHeights*self.times] = data.copy() |
|
762 | self.buffer[:,self.start_index:self.nHeights*self.times] = data.copy() | |
| 758 | self.start_index = self.start_index + self.nHeights |
|
763 | self.start_index = self.start_index + self.nHeights | |
| 759 |
|
764 | |||
| 760 | def run(self, dataOut, m): |
|
765 | def run(self, dataOut, m): | |
| 761 |
|
766 | |||
| 762 | dataOut.flagNoData = True |
|
767 | dataOut.flagNoData = True | |
| 763 |
|
768 | |||
| 764 | if not self.isConfig: |
|
769 | if not self.isConfig: | |
| 765 | self.setup(dataOut.data, m, 1) |
|
770 | self.setup(dataOut.data, m, 1) | |
| 766 | self.isConfig = True |
|
771 | self.isConfig = True | |
| 767 |
|
772 | |||
| 768 | if dataOut.flagDataAsBlock: |
|
773 | if dataOut.flagDataAsBlock: | |
| 769 | raise ValueError, "ProfileConcat can only be used when voltage have been read profile by profile, getBlock = False" |
|
774 | raise ValueError, "ProfileConcat can only be used when voltage have been read profile by profile, getBlock = False" | |
| 770 |
|
775 | |||
| 771 | else: |
|
776 | else: | |
| 772 | self.concat(dataOut.data) |
|
777 | self.concat(dataOut.data) | |
| 773 | self.times += 1 |
|
778 | self.times += 1 | |
| 774 | if self.times > m: |
|
779 | if self.times > m: | |
| 775 | dataOut.data = self.buffer |
|
780 | dataOut.data = self.buffer | |
| 776 | self.reset() |
|
781 | self.reset() | |
| 777 | dataOut.flagNoData = False |
|
782 | dataOut.flagNoData = False | |
| 778 | # se deben actualizar mas propiedades del header y del objeto dataOut, por ejemplo, las alturas |
|
783 | # se deben actualizar mas propiedades del header y del objeto dataOut, por ejemplo, las alturas | |
| 779 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
784 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] | |
| 780 | xf = dataOut.heightList[0] + dataOut.nHeights * deltaHeight * m |
|
785 | xf = dataOut.heightList[0] + dataOut.nHeights * deltaHeight * m | |
| 781 | dataOut.heightList = numpy.arange(dataOut.heightList[0], xf, deltaHeight) |
|
786 | dataOut.heightList = numpy.arange(dataOut.heightList[0], xf, deltaHeight) | |
| 782 | dataOut.ippSeconds *= m |
|
787 | dataOut.ippSeconds *= m | |
| 783 |
|
788 | |||
| 784 | class ProfileSelector(Operation): |
|
789 | class ProfileSelector(Operation): | |
| 785 |
|
790 | |||
| 786 | profileIndex = None |
|
791 | profileIndex = None | |
| 787 | # Tamanho total de los perfiles |
|
792 | # Tamanho total de los perfiles | |
| 788 | nProfiles = None |
|
793 | nProfiles = None | |
| 789 |
|
794 | |||
| 790 | def __init__(self, **kwargs): |
|
795 | def __init__(self, **kwargs): | |
| 791 |
|
796 | |||
| 792 | Operation.__init__(self, **kwargs) |
|
797 | Operation.__init__(self, **kwargs) | |
| 793 | self.profileIndex = 0 |
|
798 | self.profileIndex = 0 | |
| 794 |
|
799 | |||
| 795 | def incProfileIndex(self): |
|
800 | def incProfileIndex(self): | |
| 796 |
|
801 | |||
| 797 | self.profileIndex += 1 |
|
802 | self.profileIndex += 1 | |
| 798 |
|
803 | |||
| 799 | if self.profileIndex >= self.nProfiles: |
|
804 | if self.profileIndex >= self.nProfiles: | |
| 800 | self.profileIndex = 0 |
|
805 | self.profileIndex = 0 | |
| 801 |
|
806 | |||
| 802 | def isThisProfileInRange(self, profileIndex, minIndex, maxIndex): |
|
807 | def isThisProfileInRange(self, profileIndex, minIndex, maxIndex): | |
| 803 |
|
808 | |||
| 804 | if profileIndex < minIndex: |
|
809 | if profileIndex < minIndex: | |
| 805 | return False |
|
810 | return False | |
| 806 |
|
811 | |||
| 807 | if profileIndex > maxIndex: |
|
812 | if profileIndex > maxIndex: | |
| 808 | return False |
|
813 | return False | |
| 809 |
|
814 | |||
| 810 | return True |
|
815 | return True | |
| 811 |
|
816 | |||
| 812 | def isThisProfileInList(self, profileIndex, profileList): |
|
817 | def isThisProfileInList(self, profileIndex, profileList): | |
| 813 |
|
818 | |||
| 814 | if profileIndex not in profileList: |
|
819 | if profileIndex not in profileList: | |
| 815 | return False |
|
820 | return False | |
| 816 |
|
821 | |||
| 817 | return True |
|
822 | return True | |
| 818 |
|
823 | |||
| 819 | def run(self, dataOut, profileList=None, profileRangeList=None, beam=None, byblock=False, rangeList = None, nProfiles=None): |
|
824 | def run(self, dataOut, profileList=None, profileRangeList=None, beam=None, byblock=False, rangeList = None, nProfiles=None): | |
| 820 |
|
825 | |||
| 821 | """ |
|
826 | """ | |
| 822 | ProfileSelector: |
|
827 | ProfileSelector: | |
| 823 |
|
828 | |||
| 824 | Inputs: |
|
829 | Inputs: | |
| 825 | profileList : Index of profiles selected. Example: profileList = (0,1,2,7,8) |
|
830 | profileList : Index of profiles selected. Example: profileList = (0,1,2,7,8) | |
| 826 |
|
831 | |||
| 827 | profileRangeList : Minimum and maximum profile indexes. Example: profileRangeList = (4, 30) |
|
832 | profileRangeList : Minimum and maximum profile indexes. Example: profileRangeList = (4, 30) | |
| 828 |
|
833 | |||
| 829 | rangeList : List of profile ranges. Example: rangeList = ((4, 30), (32, 64), (128, 256)) |
|
834 | rangeList : List of profile ranges. Example: rangeList = ((4, 30), (32, 64), (128, 256)) | |
| 830 |
|
835 | |||
| 831 | """ |
|
836 | """ | |
| 832 |
|
837 | |||
| 833 | if rangeList is not None: |
|
838 | if rangeList is not None: | |
| 834 | if type(rangeList[0]) not in (tuple, list): |
|
839 | if type(rangeList[0]) not in (tuple, list): | |
| 835 | rangeList = [rangeList] |
|
840 | rangeList = [rangeList] | |
| 836 |
|
841 | |||
| 837 | dataOut.flagNoData = True |
|
842 | dataOut.flagNoData = True | |
| 838 |
|
843 | |||
| 839 | if dataOut.flagDataAsBlock: |
|
844 | if dataOut.flagDataAsBlock: | |
| 840 | """ |
|
845 | """ | |
| 841 | data dimension = [nChannels, nProfiles, nHeis] |
|
846 | data dimension = [nChannels, nProfiles, nHeis] | |
| 842 | """ |
|
847 | """ | |
| 843 | if profileList != None: |
|
848 | if profileList != None: | |
| 844 | dataOut.data = dataOut.data[:,profileList,:] |
|
849 | dataOut.data = dataOut.data[:,profileList,:] | |
| 845 |
|
850 | |||
| 846 | if profileRangeList != None: |
|
851 | if profileRangeList != None: | |
| 847 | minIndex = profileRangeList[0] |
|
852 | minIndex = profileRangeList[0] | |
| 848 | maxIndex = profileRangeList[1] |
|
853 | maxIndex = profileRangeList[1] | |
| 849 | profileList = range(minIndex, maxIndex+1) |
|
854 | profileList = range(minIndex, maxIndex+1) | |
| 850 |
|
855 | |||
| 851 | dataOut.data = dataOut.data[:,minIndex:maxIndex+1,:] |
|
856 | dataOut.data = dataOut.data[:,minIndex:maxIndex+1,:] | |
| 852 |
|
857 | |||
| 853 | if rangeList != None: |
|
858 | if rangeList != None: | |
| 854 |
|
859 | |||
| 855 | profileList = [] |
|
860 | profileList = [] | |
| 856 |
|
861 | |||
| 857 | for thisRange in rangeList: |
|
862 | for thisRange in rangeList: | |
| 858 | minIndex = thisRange[0] |
|
863 | minIndex = thisRange[0] | |
| 859 | maxIndex = thisRange[1] |
|
864 | maxIndex = thisRange[1] | |
| 860 |
|
865 | |||
| 861 | profileList.extend(range(minIndex, maxIndex+1)) |
|
866 | profileList.extend(range(minIndex, maxIndex+1)) | |
| 862 |
|
867 | |||
| 863 | dataOut.data = dataOut.data[:,profileList,:] |
|
868 | dataOut.data = dataOut.data[:,profileList,:] | |
| 864 |
|
869 | |||
| 865 | dataOut.nProfiles = len(profileList) |
|
870 | dataOut.nProfiles = len(profileList) | |
| 866 | dataOut.profileIndex = dataOut.nProfiles - 1 |
|
871 | dataOut.profileIndex = dataOut.nProfiles - 1 | |
| 867 | dataOut.flagNoData = False |
|
872 | dataOut.flagNoData = False | |
| 868 |
|
873 | |||
| 869 | return True |
|
874 | return True | |
| 870 |
|
875 | |||
| 871 | """ |
|
876 | """ | |
| 872 | data dimension = [nChannels, nHeis] |
|
877 | data dimension = [nChannels, nHeis] | |
| 873 | """ |
|
878 | """ | |
| 874 |
|
879 | |||
| 875 | if profileList != None: |
|
880 | if profileList != None: | |
| 876 |
|
881 | |||
| 877 | if self.isThisProfileInList(dataOut.profileIndex, profileList): |
|
882 | if self.isThisProfileInList(dataOut.profileIndex, profileList): | |
| 878 |
|
883 | |||
| 879 | self.nProfiles = len(profileList) |
|
884 | self.nProfiles = len(profileList) | |
| 880 | dataOut.nProfiles = self.nProfiles |
|
885 | dataOut.nProfiles = self.nProfiles | |
| 881 | dataOut.profileIndex = self.profileIndex |
|
886 | dataOut.profileIndex = self.profileIndex | |
| 882 | dataOut.flagNoData = False |
|
887 | dataOut.flagNoData = False | |
| 883 |
|
888 | |||
| 884 | self.incProfileIndex() |
|
889 | self.incProfileIndex() | |
| 885 | return True |
|
890 | return True | |
| 886 |
|
891 | |||
| 887 | if profileRangeList != None: |
|
892 | if profileRangeList != None: | |
| 888 |
|
893 | |||
| 889 | minIndex = profileRangeList[0] |
|
894 | minIndex = profileRangeList[0] | |
| 890 | maxIndex = profileRangeList[1] |
|
895 | maxIndex = profileRangeList[1] | |
| 891 |
|
896 | |||
| 892 | if self.isThisProfileInRange(dataOut.profileIndex, minIndex, maxIndex): |
|
897 | if self.isThisProfileInRange(dataOut.profileIndex, minIndex, maxIndex): | |
| 893 |
|
898 | |||
| 894 | self.nProfiles = maxIndex - minIndex + 1 |
|
899 | self.nProfiles = maxIndex - minIndex + 1 | |
| 895 | dataOut.nProfiles = self.nProfiles |
|
900 | dataOut.nProfiles = self.nProfiles | |
| 896 | dataOut.profileIndex = self.profileIndex |
|
901 | dataOut.profileIndex = self.profileIndex | |
| 897 | dataOut.flagNoData = False |
|
902 | dataOut.flagNoData = False | |
| 898 |
|
903 | |||
| 899 | self.incProfileIndex() |
|
904 | self.incProfileIndex() | |
| 900 | return True |
|
905 | return True | |
| 901 |
|
906 | |||
| 902 | if rangeList != None: |
|
907 | if rangeList != None: | |
| 903 |
|
908 | |||
| 904 | nProfiles = 0 |
|
909 | nProfiles = 0 | |
| 905 |
|
910 | |||
| 906 | for thisRange in rangeList: |
|
911 | for thisRange in rangeList: | |
| 907 | minIndex = thisRange[0] |
|
912 | minIndex = thisRange[0] | |
| 908 | maxIndex = thisRange[1] |
|
913 | maxIndex = thisRange[1] | |
| 909 |
|
914 | |||
| 910 | nProfiles += maxIndex - minIndex + 1 |
|
915 | nProfiles += maxIndex - minIndex + 1 | |
| 911 |
|
916 | |||
| 912 | for thisRange in rangeList: |
|
917 | for thisRange in rangeList: | |
| 913 |
|
918 | |||
| 914 | minIndex = thisRange[0] |
|
919 | minIndex = thisRange[0] | |
| 915 | maxIndex = thisRange[1] |
|
920 | maxIndex = thisRange[1] | |
| 916 |
|
921 | |||
| 917 | if self.isThisProfileInRange(dataOut.profileIndex, minIndex, maxIndex): |
|
922 | if self.isThisProfileInRange(dataOut.profileIndex, minIndex, maxIndex): | |
| 918 |
|
923 | |||
| 919 | self.nProfiles = nProfiles |
|
924 | self.nProfiles = nProfiles | |
| 920 | dataOut.nProfiles = self.nProfiles |
|
925 | dataOut.nProfiles = self.nProfiles | |
| 921 | dataOut.profileIndex = self.profileIndex |
|
926 | dataOut.profileIndex = self.profileIndex | |
| 922 | dataOut.flagNoData = False |
|
927 | dataOut.flagNoData = False | |
| 923 |
|
928 | |||
| 924 | self.incProfileIndex() |
|
929 | self.incProfileIndex() | |
| 925 |
|
930 | |||
| 926 | break |
|
931 | break | |
| 927 |
|
932 | |||
| 928 | return True |
|
933 | return True | |
| 929 |
|
934 | |||
| 930 |
|
935 | |||
| 931 | if beam != None: #beam is only for AMISR data |
|
936 | if beam != None: #beam is only for AMISR data | |
| 932 | if self.isThisProfileInList(dataOut.profileIndex, dataOut.beamRangeDict[beam]): |
|
937 | if self.isThisProfileInList(dataOut.profileIndex, dataOut.beamRangeDict[beam]): | |
| 933 | dataOut.flagNoData = False |
|
938 | dataOut.flagNoData = False | |
| 934 | dataOut.profileIndex = self.profileIndex |
|
939 | dataOut.profileIndex = self.profileIndex | |
| 935 |
|
940 | |||
| 936 | self.incProfileIndex() |
|
941 | self.incProfileIndex() | |
| 937 |
|
942 | |||
| 938 | return True |
|
943 | return True | |
| 939 |
|
944 | |||
| 940 | raise ValueError, "ProfileSelector needs profileList, profileRangeList or rangeList parameter" |
|
945 | raise ValueError, "ProfileSelector needs profileList, profileRangeList or rangeList parameter" | |
| 941 |
|
946 | |||
| 942 | return False |
|
947 | return False | |
| 943 |
|
948 | |||
| 944 | class Reshaper(Operation): |
|
949 | class Reshaper(Operation): | |
| 945 |
|
950 | |||
| 946 | def __init__(self, **kwargs): |
|
951 | def __init__(self, **kwargs): | |
| 947 |
|
952 | |||
| 948 | Operation.__init__(self, **kwargs) |
|
953 | Operation.__init__(self, **kwargs) | |
| 949 |
|
954 | |||
| 950 | self.__buffer = None |
|
955 | self.__buffer = None | |
| 951 | self.__nitems = 0 |
|
956 | self.__nitems = 0 | |
| 952 |
|
957 | |||
| 953 | def __appendProfile(self, dataOut, nTxs): |
|
958 | def __appendProfile(self, dataOut, nTxs): | |
| 954 |
|
959 | |||
| 955 | if self.__buffer is None: |
|
960 | if self.__buffer is None: | |
| 956 | shape = (dataOut.nChannels, int(dataOut.nHeights/nTxs) ) |
|
961 | shape = (dataOut.nChannels, int(dataOut.nHeights/nTxs) ) | |
| 957 | self.__buffer = numpy.empty(shape, dtype = dataOut.data.dtype) |
|
962 | self.__buffer = numpy.empty(shape, dtype = dataOut.data.dtype) | |
| 958 |
|
963 | |||
| 959 | ini = dataOut.nHeights * self.__nitems |
|
964 | ini = dataOut.nHeights * self.__nitems | |
| 960 | end = ini + dataOut.nHeights |
|
965 | end = ini + dataOut.nHeights | |
| 961 |
|
966 | |||
| 962 | self.__buffer[:, ini:end] = dataOut.data |
|
967 | self.__buffer[:, ini:end] = dataOut.data | |
| 963 |
|
968 | |||
| 964 | self.__nitems += 1 |
|
969 | self.__nitems += 1 | |
| 965 |
|
970 | |||
| 966 | return int(self.__nitems*nTxs) |
|
971 | return int(self.__nitems*nTxs) | |
| 967 |
|
972 | |||
| 968 | def __getBuffer(self): |
|
973 | def __getBuffer(self): | |
| 969 |
|
974 | |||
| 970 | if self.__nitems == int(1./self.__nTxs): |
|
975 | if self.__nitems == int(1./self.__nTxs): | |
| 971 |
|
976 | |||
| 972 | self.__nitems = 0 |
|
977 | self.__nitems = 0 | |
| 973 |
|
978 | |||
| 974 | return self.__buffer.copy() |
|
979 | return self.__buffer.copy() | |
| 975 |
|
980 | |||
| 976 | return None |
|
981 | return None | |
| 977 |
|
982 | |||
| 978 | def __checkInputs(self, dataOut, shape, nTxs): |
|
983 | def __checkInputs(self, dataOut, shape, nTxs): | |
| 979 |
|
984 | |||
| 980 | if shape is None and nTxs is None: |
|
985 | if shape is None and nTxs is None: | |
| 981 | raise ValueError, "Reshaper: shape of factor should be defined" |
|
986 | raise ValueError, "Reshaper: shape of factor should be defined" | |
| 982 |
|
987 | |||
| 983 | if nTxs: |
|
988 | if nTxs: | |
| 984 | if nTxs < 0: |
|
989 | if nTxs < 0: | |
| 985 | raise ValueError, "nTxs should be greater than 0" |
|
990 | raise ValueError, "nTxs should be greater than 0" | |
| 986 |
|
991 | |||
| 987 | if nTxs < 1 and dataOut.nProfiles % (1./nTxs) != 0: |
|
992 | if nTxs < 1 and dataOut.nProfiles % (1./nTxs) != 0: | |
| 988 | raise ValueError, "nProfiles= %d is not divisibled by (1./nTxs) = %f" %(dataOut.nProfiles, (1./nTxs)) |
|
993 | raise ValueError, "nProfiles= %d is not divisibled by (1./nTxs) = %f" %(dataOut.nProfiles, (1./nTxs)) | |
| 989 |
|
994 | |||
| 990 | shape = [dataOut.nChannels, dataOut.nProfiles*nTxs, dataOut.nHeights/nTxs] |
|
995 | shape = [dataOut.nChannels, dataOut.nProfiles*nTxs, dataOut.nHeights/nTxs] | |
| 991 |
|
996 | |||
| 992 | return shape, nTxs |
|
997 | return shape, nTxs | |
| 993 |
|
998 | |||
| 994 | if len(shape) != 2 and len(shape) != 3: |
|
999 | if len(shape) != 2 and len(shape) != 3: | |
| 995 | 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) |
|
1000 | 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) | |
| 996 |
|
1001 | |||
| 997 | if len(shape) == 2: |
|
1002 | if len(shape) == 2: | |
| 998 | shape_tuple = [dataOut.nChannels] |
|
1003 | shape_tuple = [dataOut.nChannels] | |
| 999 | shape_tuple.extend(shape) |
|
1004 | shape_tuple.extend(shape) | |
| 1000 | else: |
|
1005 | else: | |
| 1001 | shape_tuple = list(shape) |
|
1006 | shape_tuple = list(shape) | |
| 1002 |
|
1007 | |||
| 1003 | nTxs = 1.0*shape_tuple[1]/dataOut.nProfiles |
|
1008 | nTxs = 1.0*shape_tuple[1]/dataOut.nProfiles | |
| 1004 |
|
1009 | |||
| 1005 | return shape_tuple, nTxs |
|
1010 | return shape_tuple, nTxs | |
| 1006 |
|
1011 | |||
| 1007 | def run(self, dataOut, shape=None, nTxs=None): |
|
1012 | def run(self, dataOut, shape=None, nTxs=None): | |
| 1008 |
|
1013 | |||
| 1009 | shape_tuple, self.__nTxs = self.__checkInputs(dataOut, shape, nTxs) |
|
1014 | shape_tuple, self.__nTxs = self.__checkInputs(dataOut, shape, nTxs) | |
| 1010 |
|
1015 | |||
| 1011 | dataOut.flagNoData = True |
|
1016 | dataOut.flagNoData = True | |
| 1012 | profileIndex = None |
|
1017 | profileIndex = None | |
| 1013 |
|
1018 | |||
| 1014 | if dataOut.flagDataAsBlock: |
|
1019 | if dataOut.flagDataAsBlock: | |
| 1015 |
|
1020 | |||
| 1016 | dataOut.data = numpy.reshape(dataOut.data, shape_tuple) |
|
1021 | dataOut.data = numpy.reshape(dataOut.data, shape_tuple) | |
| 1017 | dataOut.flagNoData = False |
|
1022 | dataOut.flagNoData = False | |
| 1018 |
|
1023 | |||
| 1019 | profileIndex = int(dataOut.nProfiles*self.__nTxs) - 1 |
|
1024 | profileIndex = int(dataOut.nProfiles*self.__nTxs) - 1 | |
| 1020 |
|
1025 | |||
| 1021 | else: |
|
1026 | else: | |
| 1022 |
|
1027 | |||
| 1023 | if self.__nTxs < 1: |
|
1028 | if self.__nTxs < 1: | |
| 1024 |
|
1029 | |||
| 1025 | self.__appendProfile(dataOut, self.__nTxs) |
|
1030 | self.__appendProfile(dataOut, self.__nTxs) | |
| 1026 | new_data = self.__getBuffer() |
|
1031 | new_data = self.__getBuffer() | |
| 1027 |
|
1032 | |||
| 1028 | if new_data is not None: |
|
1033 | if new_data is not None: | |
| 1029 | dataOut.data = new_data |
|
1034 | dataOut.data = new_data | |
| 1030 | dataOut.flagNoData = False |
|
1035 | dataOut.flagNoData = False | |
| 1031 |
|
1036 | |||
| 1032 | profileIndex = dataOut.profileIndex*nTxs |
|
1037 | profileIndex = dataOut.profileIndex*nTxs | |
| 1033 |
|
1038 | |||
| 1034 | else: |
|
1039 | else: | |
| 1035 | raise ValueError, "nTxs should be greater than 0 and lower than 1, or use VoltageReader(..., getblock=True)" |
|
1040 | raise ValueError, "nTxs should be greater than 0 and lower than 1, or use VoltageReader(..., getblock=True)" | |
| 1036 |
|
1041 | |||
| 1037 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
1042 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] | |
| 1038 |
|
1043 | |||
| 1039 | dataOut.heightList = numpy.arange(dataOut.nHeights/self.__nTxs) * deltaHeight + dataOut.heightList[0] |
|
1044 | dataOut.heightList = numpy.arange(dataOut.nHeights/self.__nTxs) * deltaHeight + dataOut.heightList[0] | |
| 1040 |
|
1045 | |||
| 1041 | dataOut.nProfiles = int(dataOut.nProfiles*self.__nTxs) |
|
1046 | dataOut.nProfiles = int(dataOut.nProfiles*self.__nTxs) | |
| 1042 |
|
1047 | |||
| 1043 | dataOut.profileIndex = profileIndex |
|
1048 | dataOut.profileIndex = profileIndex | |
| 1044 |
|
1049 | |||
| 1045 | dataOut.ippSeconds /= self.__nTxs |
|
1050 | dataOut.ippSeconds /= self.__nTxs | |
| 1046 |
|
1051 | |||
| 1047 | class SplitProfiles(Operation): |
|
1052 | class SplitProfiles(Operation): | |
| 1048 |
|
1053 | |||
| 1049 | def __init__(self, **kwargs): |
|
1054 | def __init__(self, **kwargs): | |
| 1050 |
|
1055 | |||
| 1051 | Operation.__init__(self, **kwargs) |
|
1056 | Operation.__init__(self, **kwargs) | |
| 1052 |
|
1057 | |||
| 1053 | def run(self, dataOut, n): |
|
1058 | def run(self, dataOut, n): | |
| 1054 |
|
1059 | |||
| 1055 | dataOut.flagNoData = True |
|
1060 | dataOut.flagNoData = True | |
| 1056 | profileIndex = None |
|
1061 | profileIndex = None | |
| 1057 |
|
1062 | |||
| 1058 | if dataOut.flagDataAsBlock: |
|
1063 | if dataOut.flagDataAsBlock: | |
| 1059 |
|
1064 | |||
| 1060 | #nchannels, nprofiles, nsamples |
|
1065 | #nchannels, nprofiles, nsamples | |
| 1061 | shape = dataOut.data.shape |
|
1066 | shape = dataOut.data.shape | |
| 1062 |
|
1067 | |||
| 1063 | if shape[2] % n != 0: |
|
1068 | if shape[2] % n != 0: | |
| 1064 | raise ValueError, "Could not split the data, n=%d has to be multiple of %d" %(n, shape[2]) |
|
1069 | raise ValueError, "Could not split the data, n=%d has to be multiple of %d" %(n, shape[2]) | |
| 1065 |
|
1070 | |||
| 1066 | new_shape = shape[0], shape[1]*n, shape[2]/n |
|
1071 | new_shape = shape[0], shape[1]*n, shape[2]/n | |
| 1067 |
|
1072 | |||
| 1068 | dataOut.data = numpy.reshape(dataOut.data, new_shape) |
|
1073 | dataOut.data = numpy.reshape(dataOut.data, new_shape) | |
| 1069 | dataOut.flagNoData = False |
|
1074 | dataOut.flagNoData = False | |
| 1070 |
|
1075 | |||
| 1071 | profileIndex = int(dataOut.nProfiles/n) - 1 |
|
1076 | profileIndex = int(dataOut.nProfiles/n) - 1 | |
| 1072 |
|
1077 | |||
| 1073 | else: |
|
1078 | else: | |
| 1074 |
|
1079 | |||
| 1075 | raise ValueError, "Could not split the data when is read Profile by Profile. Use VoltageReader(..., getblock=True)" |
|
1080 | raise ValueError, "Could not split the data when is read Profile by Profile. Use VoltageReader(..., getblock=True)" | |
| 1076 |
|
1081 | |||
| 1077 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
1082 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] | |
| 1078 |
|
1083 | |||
| 1079 | dataOut.heightList = numpy.arange(dataOut.nHeights/n) * deltaHeight + dataOut.heightList[0] |
|
1084 | dataOut.heightList = numpy.arange(dataOut.nHeights/n) * deltaHeight + dataOut.heightList[0] | |
| 1080 |
|
1085 | |||
| 1081 | dataOut.nProfiles = int(dataOut.nProfiles*n) |
|
1086 | dataOut.nProfiles = int(dataOut.nProfiles*n) | |
| 1082 |
|
1087 | |||
| 1083 | dataOut.profileIndex = profileIndex |
|
1088 | dataOut.profileIndex = profileIndex | |
| 1084 |
|
1089 | |||
| 1085 | dataOut.ippSeconds /= n |
|
1090 | dataOut.ippSeconds /= n | |
| 1086 |
|
1091 | |||
| 1087 | class CombineProfiles(Operation): |
|
1092 | class CombineProfiles(Operation): | |
| 1088 |
|
1093 | parameters = { | ||
|
|
1094 | 'n': 'int', | |||
|
|
1095 | } | |||
| 1089 | def __init__(self, **kwargs): |
|
1096 | def __init__(self, **kwargs): | |
| 1090 |
|
1097 | |||
| 1091 | Operation.__init__(self, **kwargs) |
|
1098 | Operation.__init__(self, **kwargs) | |
| 1092 |
|
1099 | |||
| 1093 | self.__remData = None |
|
1100 | self.__remData = None | |
| 1094 | self.__profileIndex = 0 |
|
1101 | self.__profileIndex = 0 | |
| 1095 |
|
1102 | |||
| 1096 | def run(self, dataOut, n): |
|
1103 | def run(self, dataOut, n): | |
| 1097 |
|
1104 | |||
| 1098 | dataOut.flagNoData = True |
|
1105 | dataOut.flagNoData = True | |
| 1099 | profileIndex = None |
|
1106 | profileIndex = None | |
| 1100 |
|
1107 | |||
| 1101 | if dataOut.flagDataAsBlock: |
|
1108 | if dataOut.flagDataAsBlock: | |
| 1102 |
|
1109 | |||
| 1103 | #nchannels, nprofiles, nsamples |
|
1110 | #nchannels, nprofiles, nsamples | |
| 1104 | shape = dataOut.data.shape |
|
1111 | shape = dataOut.data.shape | |
| 1105 | new_shape = shape[0], shape[1]/n, shape[2]*n |
|
1112 | new_shape = shape[0], shape[1]/n, shape[2]*n | |
| 1106 |
|
1113 | |||
| 1107 | if shape[1] % n != 0: |
|
1114 | if shape[1] % n != 0: | |
| 1108 | raise ValueError, "Could not split the data, n=%d has to be multiple of %d" %(n, shape[1]) |
|
1115 | raise ValueError, "Could not split the data, n=%d has to be multiple of %d" %(n, shape[1]) | |
| 1109 |
|
1116 | |||
| 1110 | dataOut.data = numpy.reshape(dataOut.data, new_shape) |
|
1117 | dataOut.data = numpy.reshape(dataOut.data, new_shape) | |
| 1111 | dataOut.flagNoData = False |
|
1118 | dataOut.flagNoData = False | |
| 1112 |
|
1119 | |||
| 1113 | profileIndex = int(dataOut.nProfiles*n) - 1 |
|
1120 | profileIndex = int(dataOut.nProfiles*n) - 1 | |
| 1114 |
|
1121 | |||
| 1115 | else: |
|
1122 | else: | |
| 1116 |
|
1123 | |||
| 1117 | #nchannels, nsamples |
|
1124 | #nchannels, nsamples | |
| 1118 | if self.__remData is None: |
|
1125 | if self.__remData is None: | |
| 1119 | newData = dataOut.data |
|
1126 | newData = dataOut.data | |
| 1120 | else: |
|
1127 | else: | |
| 1121 | newData = numpy.concatenate((self.__remData, dataOut.data), axis=1) |
|
1128 | newData = numpy.concatenate((self.__remData, dataOut.data), axis=1) | |
| 1122 |
|
1129 | |||
| 1123 | self.__profileIndex += 1 |
|
1130 | self.__profileIndex += 1 | |
| 1124 |
|
1131 | |||
| 1125 | if self.__profileIndex < n: |
|
1132 | if self.__profileIndex < n: | |
| 1126 | self.__remData = newData |
|
1133 | self.__remData = newData | |
| 1127 | #continue |
|
1134 | #continue | |
| 1128 | return |
|
1135 | return | |
| 1129 |
|
1136 | |||
| 1130 | self.__profileIndex = 0 |
|
1137 | self.__profileIndex = 0 | |
| 1131 | self.__remData = None |
|
1138 | self.__remData = None | |
| 1132 |
|
1139 | |||
| 1133 | dataOut.data = newData |
|
1140 | dataOut.data = newData | |
| 1134 | dataOut.flagNoData = False |
|
1141 | dataOut.flagNoData = False | |
| 1135 |
|
1142 | |||
| 1136 | profileIndex = dataOut.profileIndex/n |
|
1143 | profileIndex = dataOut.profileIndex/n | |
| 1137 |
|
1144 | |||
| 1138 |
|
1145 | |||
| 1139 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
1146 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] | |
| 1140 |
|
1147 | |||
| 1141 | dataOut.heightList = numpy.arange(dataOut.nHeights*n) * deltaHeight + dataOut.heightList[0] |
|
1148 | dataOut.heightList = numpy.arange(dataOut.nHeights*n) * deltaHeight + dataOut.heightList[0] | |
| 1142 |
|
1149 | |||
| 1143 | dataOut.nProfiles = int(dataOut.nProfiles/n) |
|
1150 | dataOut.nProfiles = int(dataOut.nProfiles/n) | |
| 1144 |
|
1151 | |||
| 1145 | dataOut.profileIndex = profileIndex |
|
1152 | dataOut.profileIndex = profileIndex | |
| 1146 |
|
1153 | |||
| 1147 | dataOut.ippSeconds *= n |
|
1154 | dataOut.ippSeconds *= n | |
| 1148 |
|
1155 | |||
| 1149 | # import collections |
|
1156 | # import collections | |
| 1150 | # from scipy.stats import mode |
|
1157 | # from scipy.stats import mode | |
| 1151 | # |
|
1158 | # | |
| 1152 | # class Synchronize(Operation): |
|
1159 | # class Synchronize(Operation): | |
| 1153 | # |
|
1160 | # | |
| 1154 | # isConfig = False |
|
1161 | # isConfig = False | |
| 1155 | # __profIndex = 0 |
|
1162 | # __profIndex = 0 | |
| 1156 | # |
|
1163 | # | |
| 1157 | # def __init__(self, **kwargs): |
|
1164 | # def __init__(self, **kwargs): | |
| 1158 | # |
|
1165 | # | |
| 1159 | # Operation.__init__(self, **kwargs) |
|
1166 | # Operation.__init__(self, **kwargs) | |
| 1160 | # # self.isConfig = False |
|
1167 | # # self.isConfig = False | |
| 1161 | # self.__powBuffer = None |
|
1168 | # self.__powBuffer = None | |
| 1162 | # self.__startIndex = 0 |
|
1169 | # self.__startIndex = 0 | |
| 1163 | # self.__pulseFound = False |
|
1170 | # self.__pulseFound = False | |
| 1164 | # |
|
1171 | # | |
| 1165 | # def __findTxPulse(self, dataOut, channel=0, pulse_with = None): |
|
1172 | # def __findTxPulse(self, dataOut, channel=0, pulse_with = None): | |
| 1166 | # |
|
1173 | # | |
| 1167 | # #Read data |
|
1174 | # #Read data | |
| 1168 | # |
|
1175 | # | |
| 1169 | # powerdB = dataOut.getPower(channel = channel) |
|
1176 | # powerdB = dataOut.getPower(channel = channel) | |
| 1170 | # noisedB = dataOut.getNoise(channel = channel)[0] |
|
1177 | # noisedB = dataOut.getNoise(channel = channel)[0] | |
| 1171 | # |
|
1178 | # | |
| 1172 | # self.__powBuffer.extend(powerdB.flatten()) |
|
1179 | # self.__powBuffer.extend(powerdB.flatten()) | |
| 1173 | # |
|
1180 | # | |
| 1174 | # dataArray = numpy.array(self.__powBuffer) |
|
1181 | # dataArray = numpy.array(self.__powBuffer) | |
| 1175 | # |
|
1182 | # | |
| 1176 | # filteredPower = numpy.correlate(dataArray, dataArray[0:self.__nSamples], "same") |
|
1183 | # filteredPower = numpy.correlate(dataArray, dataArray[0:self.__nSamples], "same") | |
| 1177 | # |
|
1184 | # | |
| 1178 | # maxValue = numpy.nanmax(filteredPower) |
|
1185 | # maxValue = numpy.nanmax(filteredPower) | |
| 1179 | # |
|
1186 | # | |
| 1180 | # if maxValue < noisedB + 10: |
|
1187 | # if maxValue < noisedB + 10: | |
| 1181 | # #No se encuentra ningun pulso de transmision |
|
1188 | # #No se encuentra ningun pulso de transmision | |
| 1182 | # return None |
|
1189 | # return None | |
| 1183 | # |
|
1190 | # | |
| 1184 | # maxValuesIndex = numpy.where(filteredPower > maxValue - 0.1*abs(maxValue))[0] |
|
1191 | # maxValuesIndex = numpy.where(filteredPower > maxValue - 0.1*abs(maxValue))[0] | |
| 1185 | # |
|
1192 | # | |
| 1186 | # if len(maxValuesIndex) < 2: |
|
1193 | # if len(maxValuesIndex) < 2: | |
| 1187 | # #Solo se encontro un solo pulso de transmision de un baudio, esperando por el siguiente TX |
|
1194 | # #Solo se encontro un solo pulso de transmision de un baudio, esperando por el siguiente TX | |
| 1188 | # return None |
|
1195 | # return None | |
| 1189 | # |
|
1196 | # | |
| 1190 | # phasedMaxValuesIndex = maxValuesIndex - self.__nSamples |
|
1197 | # phasedMaxValuesIndex = maxValuesIndex - self.__nSamples | |
| 1191 | # |
|
1198 | # | |
| 1192 | # #Seleccionar solo valores con un espaciamiento de nSamples |
|
1199 | # #Seleccionar solo valores con un espaciamiento de nSamples | |
| 1193 | # pulseIndex = numpy.intersect1d(maxValuesIndex, phasedMaxValuesIndex) |
|
1200 | # pulseIndex = numpy.intersect1d(maxValuesIndex, phasedMaxValuesIndex) | |
| 1194 | # |
|
1201 | # | |
| 1195 | # if len(pulseIndex) < 2: |
|
1202 | # if len(pulseIndex) < 2: | |
| 1196 | # #Solo se encontro un pulso de transmision con ancho mayor a 1 |
|
1203 | # #Solo se encontro un pulso de transmision con ancho mayor a 1 | |
| 1197 | # return None |
|
1204 | # return None | |
| 1198 | # |
|
1205 | # | |
| 1199 | # spacing = pulseIndex[1:] - pulseIndex[:-1] |
|
1206 | # spacing = pulseIndex[1:] - pulseIndex[:-1] | |
| 1200 | # |
|
1207 | # | |
| 1201 | # #remover senales que se distancien menos de 10 unidades o muestras |
|
1208 | # #remover senales que se distancien menos de 10 unidades o muestras | |
| 1202 | # #(No deberian existir IPP menor a 10 unidades) |
|
1209 | # #(No deberian existir IPP menor a 10 unidades) | |
| 1203 | # |
|
1210 | # | |
| 1204 | # realIndex = numpy.where(spacing > 10 )[0] |
|
1211 | # realIndex = numpy.where(spacing > 10 )[0] | |
| 1205 | # |
|
1212 | # | |
| 1206 | # if len(realIndex) < 2: |
|
1213 | # if len(realIndex) < 2: | |
| 1207 | # #Solo se encontro un pulso de transmision con ancho mayor a 1 |
|
1214 | # #Solo se encontro un pulso de transmision con ancho mayor a 1 | |
| 1208 | # return None |
|
1215 | # return None | |
| 1209 | # |
|
1216 | # | |
| 1210 | # #Eliminar pulsos anchos (deja solo la diferencia entre IPPs) |
|
1217 | # #Eliminar pulsos anchos (deja solo la diferencia entre IPPs) | |
| 1211 | # realPulseIndex = pulseIndex[realIndex] |
|
1218 | # realPulseIndex = pulseIndex[realIndex] | |
| 1212 | # |
|
1219 | # | |
| 1213 | # period = mode(realPulseIndex[1:] - realPulseIndex[:-1])[0][0] |
|
1220 | # period = mode(realPulseIndex[1:] - realPulseIndex[:-1])[0][0] | |
| 1214 | # |
|
1221 | # | |
| 1215 | # print "IPP = %d samples" %period |
|
1222 | # print "IPP = %d samples" %period | |
| 1216 | # |
|
1223 | # | |
| 1217 | # self.__newNSamples = dataOut.nHeights #int(period) |
|
1224 | # self.__newNSamples = dataOut.nHeights #int(period) | |
| 1218 | # self.__startIndex = int(realPulseIndex[0]) |
|
1225 | # self.__startIndex = int(realPulseIndex[0]) | |
| 1219 | # |
|
1226 | # | |
| 1220 | # return 1 |
|
1227 | # return 1 | |
| 1221 | # |
|
1228 | # | |
| 1222 | # |
|
1229 | # | |
| 1223 | # def setup(self, nSamples, nChannels, buffer_size = 4): |
|
1230 | # def setup(self, nSamples, nChannels, buffer_size = 4): | |
| 1224 | # |
|
1231 | # | |
| 1225 | # self.__powBuffer = collections.deque(numpy.zeros( buffer_size*nSamples,dtype=numpy.float), |
|
1232 | # self.__powBuffer = collections.deque(numpy.zeros( buffer_size*nSamples,dtype=numpy.float), | |
| 1226 | # maxlen = buffer_size*nSamples) |
|
1233 | # maxlen = buffer_size*nSamples) | |
| 1227 | # |
|
1234 | # | |
| 1228 | # bufferList = [] |
|
1235 | # bufferList = [] | |
| 1229 | # |
|
1236 | # | |
| 1230 | # for i in range(nChannels): |
|
1237 | # for i in range(nChannels): | |
| 1231 | # bufferByChannel = collections.deque(numpy.zeros( buffer_size*nSamples, dtype=numpy.complex) + numpy.NAN, |
|
1238 | # bufferByChannel = collections.deque(numpy.zeros( buffer_size*nSamples, dtype=numpy.complex) + numpy.NAN, | |
| 1232 | # maxlen = buffer_size*nSamples) |
|
1239 | # maxlen = buffer_size*nSamples) | |
| 1233 | # |
|
1240 | # | |
| 1234 | # bufferList.append(bufferByChannel) |
|
1241 | # bufferList.append(bufferByChannel) | |
| 1235 | # |
|
1242 | # | |
| 1236 | # self.__nSamples = nSamples |
|
1243 | # self.__nSamples = nSamples | |
| 1237 | # self.__nChannels = nChannels |
|
1244 | # self.__nChannels = nChannels | |
| 1238 | # self.__bufferList = bufferList |
|
1245 | # self.__bufferList = bufferList | |
| 1239 | # |
|
1246 | # | |
| 1240 | # def run(self, dataOut, channel = 0): |
|
1247 | # def run(self, dataOut, channel = 0): | |
| 1241 | # |
|
1248 | # | |
| 1242 | # if not self.isConfig: |
|
1249 | # if not self.isConfig: | |
| 1243 | # nSamples = dataOut.nHeights |
|
1250 | # nSamples = dataOut.nHeights | |
| 1244 | # nChannels = dataOut.nChannels |
|
1251 | # nChannels = dataOut.nChannels | |
| 1245 | # self.setup(nSamples, nChannels) |
|
1252 | # self.setup(nSamples, nChannels) | |
| 1246 | # self.isConfig = True |
|
1253 | # self.isConfig = True | |
| 1247 | # |
|
1254 | # | |
| 1248 | # #Append new data to internal buffer |
|
1255 | # #Append new data to internal buffer | |
| 1249 | # for thisChannel in range(self.__nChannels): |
|
1256 | # for thisChannel in range(self.__nChannels): | |
| 1250 | # bufferByChannel = self.__bufferList[thisChannel] |
|
1257 | # bufferByChannel = self.__bufferList[thisChannel] | |
| 1251 | # bufferByChannel.extend(dataOut.data[thisChannel]) |
|
1258 | # bufferByChannel.extend(dataOut.data[thisChannel]) | |
| 1252 | # |
|
1259 | # | |
| 1253 | # if self.__pulseFound: |
|
1260 | # if self.__pulseFound: | |
| 1254 | # self.__startIndex -= self.__nSamples |
|
1261 | # self.__startIndex -= self.__nSamples | |
| 1255 | # |
|
1262 | # | |
| 1256 | # #Finding Tx Pulse |
|
1263 | # #Finding Tx Pulse | |
| 1257 | # if not self.__pulseFound: |
|
1264 | # if not self.__pulseFound: | |
| 1258 | # indexFound = self.__findTxPulse(dataOut, channel) |
|
1265 | # indexFound = self.__findTxPulse(dataOut, channel) | |
| 1259 | # |
|
1266 | # | |
| 1260 | # if indexFound == None: |
|
1267 | # if indexFound == None: | |
| 1261 | # dataOut.flagNoData = True |
|
1268 | # dataOut.flagNoData = True | |
| 1262 | # return |
|
1269 | # return | |
| 1263 | # |
|
1270 | # | |
| 1264 | # self.__arrayBuffer = numpy.zeros((self.__nChannels, self.__newNSamples), dtype = numpy.complex) |
|
1271 | # self.__arrayBuffer = numpy.zeros((self.__nChannels, self.__newNSamples), dtype = numpy.complex) | |
| 1265 | # self.__pulseFound = True |
|
1272 | # self.__pulseFound = True | |
| 1266 | # self.__startIndex = indexFound |
|
1273 | # self.__startIndex = indexFound | |
| 1267 | # |
|
1274 | # | |
| 1268 | # #If pulse was found ... |
|
1275 | # #If pulse was found ... | |
| 1269 | # for thisChannel in range(self.__nChannels): |
|
1276 | # for thisChannel in range(self.__nChannels): | |
| 1270 | # bufferByChannel = self.__bufferList[thisChannel] |
|
1277 | # bufferByChannel = self.__bufferList[thisChannel] | |
| 1271 | # #print self.__startIndex |
|
1278 | # #print self.__startIndex | |
| 1272 | # x = numpy.array(bufferByChannel) |
|
1279 | # x = numpy.array(bufferByChannel) | |
| 1273 | # self.__arrayBuffer[thisChannel] = x[self.__startIndex:self.__startIndex+self.__newNSamples] |
|
1280 | # self.__arrayBuffer[thisChannel] = x[self.__startIndex:self.__startIndex+self.__newNSamples] | |
| 1274 | # |
|
1281 | # | |
| 1275 | # deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
1282 | # deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] | |
| 1276 | # dataOut.heightList = numpy.arange(self.__newNSamples)*deltaHeight |
|
1283 | # dataOut.heightList = numpy.arange(self.__newNSamples)*deltaHeight | |
| 1277 | # # dataOut.ippSeconds = (self.__newNSamples / deltaHeight)/1e6 |
|
1284 | # # dataOut.ippSeconds = (self.__newNSamples / deltaHeight)/1e6 | |
| 1278 | # |
|
1285 | # | |
| 1279 | # dataOut.data = self.__arrayBuffer |
|
1286 | # dataOut.data = self.__arrayBuffer | |
| 1280 | # |
|
1287 | # | |
| 1281 | # self.__startIndex += self.__newNSamples |
|
1288 | # self.__startIndex += self.__newNSamples | |
| 1282 | # |
|
1289 | # | |
| 1283 | # return |
|
1290 | # return | |
| @@ -1,97 +1,94 | |||||
| 1 | import argparse |
|
1 | import argparse | |
| 2 |
|
2 | |||
| 3 | from schainpy.controller import Project, multiSchain |
|
3 | from schainpy.controller import Project, multiSchain | |
| 4 |
|
4 | |||
| 5 | desc = "HF_EXAMPLE" |
|
5 | desc = "HF_EXAMPLE" | |
| 6 |
|
6 | |||
| 7 | def fiber(cursor, skip, q, dt): |
|
7 | def fiber(cursor, skip, q, dt): | |
| 8 |
|
8 | |||
| 9 | controllerObj = Project() |
|
9 | controllerObj = Project() | |
| 10 |
|
10 | |||
| 11 | controllerObj.setup(id='191', name='test01', description=desc) |
|
11 | controllerObj.setup(id='191', name='test01', description=desc) | |
| 12 |
|
12 | |||
| 13 | readUnitConfObj = controllerObj.addReadUnit(datatype='SpectraReader', |
|
13 | readUnitConfObj = controllerObj.addReadUnit(datatype='SpectraReader', | |
| 14 | path='/home/nanosat/data/julia', |
|
14 | path='/home/nanosat/data/julia', | |
| 15 | startDate=dt, |
|
15 | startDate=dt, | |
| 16 | endDate=dt, |
|
16 | endDate=dt, | |
| 17 | startTime="00:00:00", |
|
17 | startTime="00:00:00", | |
| 18 | endTime="23:59:59", |
|
18 | endTime="23:59:59", | |
| 19 | online=0, |
|
19 | online=0, | |
| 20 | #set=1426485881, |
|
20 | #set=1426485881, | |
| 21 | delay=10, |
|
21 | delay=10, | |
| 22 | walk=1, |
|
22 | walk=1, | |
| 23 | queue=q, |
|
23 | queue=q, | |
| 24 | cursor=cursor, |
|
24 | cursor=cursor, | |
| 25 | skip=skip, |
|
25 | skip=skip, | |
| 26 | #timezone=-5*3600 |
|
26 | #timezone=-5*3600 | |
| 27 | ) |
|
27 | ) | |
| 28 |
|
28 | |||
| 29 | # #opObj11 = readUnitConfObj.addOperation(name='printNumberOfBlock') |
|
29 | # #opObj11 = readUnitConfObj.addOperation(name='printNumberOfBlock') | |
| 30 | # |
|
30 | # | |
| 31 | procUnitConfObj2 = controllerObj.addProcUnit(datatype='Spectra', inputId=readUnitConfObj.getId()) |
|
31 | procUnitConfObj2 = controllerObj.addProcUnit(datatype='Spectra', inputId=readUnitConfObj.getId()) | |
| 32 | # procUnitConfObj2.addParameter(name='nipp', value='5', format='int') |
|
32 | # procUnitConfObj2.addParameter(name='nipp', value='5', format='int') | |
| 33 |
|
33 | |||
| 34 | # procUnitConfObj3 = controllerObj.addProcUnit(datatype='ParametersProc', inputId=readUnitConfObj.getId()) |
|
34 | # procUnitConfObj3 = controllerObj.addProcUnit(datatype='ParametersProc', inputId=readUnitConfObj.getId()) | |
| 35 | # opObj11 = procUnitConfObj3.addOperation(name='SpectralMoments', optype='other') |
|
35 | # opObj11 = procUnitConfObj3.addOperation(name='SpectralMoments', optype='other') | |
| 36 |
|
36 | |||
| 37 | # |
|
37 | # | |
| 38 |
|
|
38 | opObj11 = procUnitConfObj2.addOperation(name='RTIPlot', optype='other') | |
| 39 |
|
|
39 | opObj11.addParameter(name='id', value='1000', format='int') | |
| 40 |
|
|
40 | opObj11.addParameter(name='wintitle', value='HF_Jicamarca_Spc', format='str') | |
| 41 |
|
|
41 | opObj11.addParameter(name='xmin', value='0', format='int') | |
| 42 |
|
|
42 | opObj11.addParameter(name='xmax', value='24', format='int') | |
| 43 | # opObj11.addParameter(name='zmax', value='-70', format='float') |
|
|||
| 44 | # opObj11.addParameter(name='save', value='1', format='int') |
|
|||
| 45 | # opObj11.addParameter(name='figpath', value=figpath, format='str') |
|
|||
| 46 |
|
43 | |||
| 47 | # opObj11 = procUnitConfObj3.addOperation(name='Parameters1Plot', optype='other') |
|
44 | # opObj11 = procUnitConfObj3.addOperation(name='Parameters1Plot', optype='other') | |
| 48 | # opObj11.addParameter(name='channelList', value='0', format='intList') |
|
45 | # opObj11.addParameter(name='channelList', value='0', format='intList') | |
| 49 | # |
|
46 | # | |
| 50 | # opObj11.addParameter(name='id', value='2000', format='int') |
|
47 | # opObj11.addParameter(name='id', value='2000', format='int') | |
| 51 | # # opObj11.addParameter(name='colormap', value='0', format='bool') |
|
48 | # # opObj11.addParameter(name='colormap', value='0', format='bool') | |
| 52 | # opObj11.addParameter(name='onlySNR', value='1', format='bool') |
|
49 | # opObj11.addParameter(name='onlySNR', value='1', format='bool') | |
| 53 | # opObj11.addParameter(name='DOP', value='0', format='bool') |
|
50 | # opObj11.addParameter(name='DOP', value='0', format='bool') | |
| 54 | # opObj11.addParameter(name='showSNR', value='1', format='bool') |
|
51 | # opObj11.addParameter(name='showSNR', value='1', format='bool') | |
| 55 | # opObj11.addParameter(name='SNRthresh', value='0', format='int') |
|
52 | # opObj11.addParameter(name='SNRthresh', value='0', format='int') | |
| 56 | # opObj11.addParameter(name='SNRmin', value='-10', format='int') |
|
53 | # opObj11.addParameter(name='SNRmin', value='-10', format='int') | |
| 57 | # opObj11.addParameter(name='SNRmax', value='30', format='int') |
|
54 | # opObj11.addParameter(name='SNRmax', value='30', format='int') | |
| 58 |
|
55 | |||
| 59 | # opObj11.addParameter(name='showSNR', value='1', format='int') |
|
56 | # opObj11.addParameter(name='showSNR', value='1', format='int') | |
| 60 | # # opObj11.addParameter(name='channelList', value='0', format='intlist') |
|
57 | # # opObj11.addParameter(name='channelList', value='0', format='intlist') | |
| 61 | # # opObj11.addParameter(name='xmin', value='0', format='float') |
|
58 | # # opObj11.addParameter(name='xmin', value='0', format='float') | |
| 62 | # opObj11.addParameter(name='xmin', value='0', format='float') |
|
59 | # opObj11.addParameter(name='xmin', value='0', format='float') | |
| 63 | # opObj11.addParameter(name='xmax', value='24', format='float') |
|
60 | # opObj11.addParameter(name='xmax', value='24', format='float') | |
| 64 |
|
61 | |||
| 65 | # opObj11.addParameter(name='zmin', value='-110', format='float') |
|
62 | # opObj11.addParameter(name='zmin', value='-110', format='float') | |
| 66 | # opObj11.addParameter(name='zmax', value='-70', format='float') |
|
63 | # opObj11.addParameter(name='zmax', value='-70', format='float') | |
| 67 | # opObj11.addParameter(name='save', value='0', format='int') |
|
64 | # opObj11.addParameter(name='save', value='0', format='int') | |
| 68 | # # opObj11.addParameter(name='figpath', value='/tmp/', format='str') |
|
65 | # # opObj11.addParameter(name='figpath', value='/tmp/', format='str') | |
| 69 | # |
|
66 | # | |
| 70 | opObj12 = procUnitConfObj2.addOperation(name='PublishData', optype='other') |
|
67 | # opObj12 = procUnitConfObj2.addOperation(name='PublishData', optype='other') | |
| 71 | opObj12.addParameter(name='zeromq', value=1, format='int') |
|
68 | # opObj12.addParameter(name='zeromq', value=1, format='int') | |
| 72 | # opObj12.addParameter(name='server', value='tcp://10.10.10.82:7000', format='str') |
|
69 | # opObj12.addParameter(name='server', value='tcp://10.10.10.82:7000', format='str') | |
| 73 |
|
70 | |||
| 74 |
|
71 | |||
| 75 | # opObj13 = procUnitConfObj3.addOperation(name='PublishData', optype='other') |
|
72 | # opObj13 = procUnitConfObj3.addOperation(name='PublishData', optype='other') | |
| 76 | # opObj13.addParameter(name='zeromq', value=1, format='int') |
|
73 | # opObj13.addParameter(name='zeromq', value=1, format='int') | |
| 77 | # opObj13.addParameter(name='server', value="juanca", format='str') |
|
74 | # opObj13.addParameter(name='server', value="juanca", format='str') | |
| 78 |
|
75 | |||
| 79 | # opObj12.addParameter(name='delay', value=1, format='int') |
|
76 | # opObj12.addParameter(name='delay', value=1, format='int') | |
| 80 |
|
77 | |||
| 81 |
|
78 | |||
| 82 | # print "Escribiendo el archivo XML" |
|
79 | # print "Escribiendo el archivo XML" | |
| 83 | # controllerObj.writeXml(filename) |
|
80 | # controllerObj.writeXml(filename) | |
| 84 | # print "Leyendo el archivo XML" |
|
81 | # print "Leyendo el archivo XML" | |
| 85 | # controllerObj.readXml(filename) |
|
82 | # controllerObj.readXml(filename) | |
| 86 |
|
83 | |||
| 87 |
|
84 | |||
| 88 | # timeit.timeit('controllerObj.run()', number=2) |
|
85 | # timeit.timeit('controllerObj.run()', number=2) | |
| 89 |
|
86 | |||
| 90 | controllerObj.start() |
|
87 | controllerObj.start() | |
| 91 |
|
88 | |||
| 92 |
|
89 | |||
| 93 | if __name__ == '__main__': |
|
90 | if __name__ == '__main__': | |
| 94 | parser = argparse.ArgumentParser(description='Set number of parallel processes') |
|
91 | parser = argparse.ArgumentParser(description='Set number of parallel processes') | |
| 95 | parser.add_argument('--nProcess', default=1, type=int) |
|
92 | parser.add_argument('--nProcess', default=1, type=int) | |
| 96 | args = parser.parse_args() |
|
93 | args = parser.parse_args() | |
| 97 | multiSchain(fiber, nProcess=args.nProcess, startDate='2016/08/19', endDate='2016/08/19') |
|
94 | multiSchain(fiber, nProcess=args.nProcess, startDate='2016/08/19', endDate='2016/08/19') | |
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