| @@ -6,12 +6,13 Signal Chain (SCh) is a radar data processing library developed using [Python](w | |||
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6 | 6 | |
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7 | 7 | ## Installation |
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8 | 8 | |
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9 |
Install system dependencies, |
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9 | Install system dependencies, clone the latest version from [git](http://jro-dev.igp.gob.pe/rhodecode/schain/) and install it as a normal python package. | |
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10 | 10 | |
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11 | 11 | ``` |
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12 | 12 | $ sudo apt-get install python-pip python-dev gfortran libpng-dev freetype* libblas-dev liblapack-dev libatlas-base-dev python-qt4 python-tk libssl-dev libhdf5-dev |
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13 | $ tar xvzf schainpy-2.2.5.tar.gz | |
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14 | $ cd schainpy-2.2.5 | |
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13 | $ sudo pip install numpy | |
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14 | $ git clone http://jro-dev.igp.gob.pe/rhodecode/schain/ | |
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15 | $ cd schain | |
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15 | 16 | $ sudo pip install ./ |
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16 | 17 | ``` |
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17 | 18 | |
| @@ -21,7 +22,7 $ sudo pip install ./ | |||
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21 | 22 | $ sudo pip install virtualenv |
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22 | 23 | $ virtualenv /path/to/virtual --system-site-packages |
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23 | 24 | $ source /path/to/virtual/bin/activate |
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24 |
(virtual) $ cd schain |
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25 | (virtual) $ cd schain | |
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25 | 26 | (virtual) $ pip install ./ |
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26 | 27 | ``` |
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27 | 28 | |
| @@ -50,6 +50,8 def multiSchain(child, nProcess=cpu_count(), startDate=None, endDate=None, by_da | |||
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50 | 50 | if by_day: |
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51 | 51 | continue |
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52 | 52 | nFiles = q.get() |
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53 | if nFiles==0: | |
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54 | continue | |
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53 | 55 | firstProcess.terminate() |
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54 | 56 | skip = int(math.ceil(nFiles/nProcess)) |
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55 | 57 | while True: |
| @@ -70,8 +72,10 def multiSchain(child, nProcess=cpu_count(), startDate=None, endDate=None, by_da | |||
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70 | 72 | for process in processes: |
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71 | 73 | process.join() |
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72 | 74 | process.terminate() |
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75 | ||
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73 | 76 | time.sleep(3) |
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74 | 77 | |
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78 | ||
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75 | 79 | class ParameterConf(): |
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76 | 80 | |
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77 | 81 | id = None |
| @@ -8,5 +8,5 | |||
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8 | 8 | from data import * |
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9 | 9 | from io import * |
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10 | 10 | from proc import * |
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11 |
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11 | from graphics import * | |
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12 | 12 | from utils import * |
| @@ -6,6 +6,7 import numpy | |||
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6 | 6 | import datetime |
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7 | 7 | import numpy as np |
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8 | 8 | import matplotlib |
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9 | import glob | |
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9 | 10 | matplotlib.use('TkAgg') |
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10 | 11 | import matplotlib.pyplot as plt |
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11 | 12 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
| @@ -61,6 +62,15 class PlotData(Operation, Process): | |||
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61 | 62 | self.times = [] |
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62 | 63 | #self.interactive = self.kwargs['parent'] |
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63 | 64 | |
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65 | ''' | |
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66 | this new parameter is created to plot data from varius channels at different figures | |
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67 | 1. crear una lista de figuras donde se puedan plotear las figuras, | |
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68 | 2. dar las opciones de configuracion a cada figura, estas opciones son iguales para ambas figuras | |
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69 | 3. probar? | |
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70 | ''' | |
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71 | self.ind_plt_ch = kwargs.get('ind_plt_ch', False) | |
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72 | self.figurelist = None | |
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73 | ||
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64 | 74 | |
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65 | 75 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): |
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66 | 76 | |
| @@ -92,25 +102,98 class PlotData(Operation, Process): | |||
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92 | 102 | |
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93 | 103 | return x, y, z |
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94 | 104 | |
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105 | ''' | |
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106 | JM: | |
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107 | elimana las otras imagenes generadas debido a que lso workers no llegan en orden y le pueden | |
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108 | poner otro tiempo a la figura q no necesariamente es el ultimo. | |
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109 | Solo se realiza cuando termina la imagen. | |
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110 | Problemas: | |
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111 | ||
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112 | File "/home/ci-81/workspace/schainv2.3/schainpy/model/graphics/jroplot_data.py", line 145, in __plot | |
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113 | for n, eachfigure in enumerate(self.figurelist): | |
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114 | TypeError: 'NoneType' object is not iterable | |
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115 | ||
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116 | ''' | |
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117 | def deleteanotherfiles(self): | |
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118 | figurenames=[] | |
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119 | if self.figurelist != None: | |
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120 | for n, eachfigure in enumerate(self.figurelist): | |
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121 | #add specific name for each channel in channelList | |
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122 | ghostfigname = os.path.join(self.save, '{}_{}_{}'.format(self.titles[n].replace(' ',''),self.CODE, | |
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123 | datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d'))) | |
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124 | figname = os.path.join(self.save, '{}_{}_{}.png'.format(self.titles[n].replace(' ',''),self.CODE, | |
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125 | datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) | |
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126 | ||
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127 | for ghostfigure in glob.glob(ghostfigname+'*'): #ghostfigure will adopt all posible names of figures | |
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128 | if ghostfigure != figname: | |
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129 | os.remove(ghostfigure) | |
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130 | print 'Removing GhostFigures:' , figname | |
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131 | else : | |
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132 | '''Erasing ghost images for just on******************''' | |
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133 | ghostfigname = os.path.join(self.save, '{}_{}'.format(self.CODE,datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d'))) | |
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134 | figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE,datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) | |
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135 | for ghostfigure in glob.glob(ghostfigname+'*'): #ghostfigure will adopt all posible names of figures | |
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136 | if ghostfigure != figname: | |
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137 | os.remove(ghostfigure) | |
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138 | print 'Removing GhostFigures:' , figname | |
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139 | ||
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95 | 140 | def __plot(self): |
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96 | 141 | |
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97 | 142 | print 'plotting...{}'.format(self.CODE) |
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98 | ||
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143 | if self.ind_plt_ch is False : #standard | |
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99 | 144 | if self.show: |
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100 | 145 | self.figure.show() |
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101 | ||
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102 | 146 | self.plot() |
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103 | 147 | plt.tight_layout() |
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104 | 148 | self.figure.canvas.manager.set_window_title('{} {} - {}'.format(self.title, self.CODE.upper(), |
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105 | 149 | datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d'))) |
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150 | else : | |
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151 | print 'len(self.figurelist): ',len(self.figurelist) | |
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152 | for n, eachfigure in enumerate(self.figurelist): | |
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153 | if self.show: | |
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154 | eachfigure.show() | |
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155 | ||
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156 | self.plot() | |
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157 | eachfigure.tight_layout() # ajuste de cada subplot | |
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158 | eachfigure.canvas.manager.set_window_title('{} {} - {}'.format(self.title[n], self.CODE.upper(), | |
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159 | datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d'))) | |
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160 | ||
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161 | # if self.save: | |
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162 | # if self.ind_plt_ch is False : #standard | |
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163 | # figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE, | |
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164 | # datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) | |
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165 | # print 'Saving figure: {}'.format(figname) | |
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166 | # self.figure.savefig(figname) | |
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167 | # else : | |
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168 | # for n, eachfigure in enumerate(self.figurelist): | |
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169 | # #add specific name for each channel in channelList | |
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170 | # figname = os.path.join(self.save, '{}_{}_{}.png'.format(self.titles[n],self.CODE, | |
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171 | # datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) | |
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172 | # | |
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173 | # print 'Saving figure: {}'.format(figname) | |
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174 | # eachfigure.savefig(figname) | |
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175 | ||
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176 | if self.ind_plt_ch is False : | |
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177 | self.figure.canvas.draw() | |
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178 | else : | |
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179 | for eachfigure in self.figurelist: | |
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180 | eachfigure.canvas.draw() | |
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106 | 181 | |
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107 | 182 | if self.save: |
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183 | if self.ind_plt_ch is False : #standard | |
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108 | 184 | figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE, |
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109 | 185 | datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) |
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110 | 186 | print 'Saving figure: {}'.format(figname) |
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111 | 187 | self.figure.savefig(figname) |
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188 | else : | |
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189 | for n, eachfigure in enumerate(self.figurelist): | |
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190 | #add specific name for each channel in channelList | |
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191 | figname = os.path.join(self.save, '{}_{}_{}.png'.format(self.titles[n].replace(' ',''),self.CODE, | |
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192 | datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S'))) | |
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193 | ||
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194 | print 'Saving figure: {}'.format(figname) | |
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195 | eachfigure.savefig(figname) | |
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112 | 196 | |
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113 | self.figure.canvas.draw() | |
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114 | 197 | |
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115 | 198 | def plot(self): |
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116 | 199 | |
| @@ -159,6 +242,7 class PlotData(Operation, Process): | |||
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159 | 242 | self.ended = True |
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160 | 243 | self.isConfig = False |
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161 | 244 | self.__plot() |
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245 | self.deleteanotherfiles() #CLPDG | |
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162 | 246 | elif seconds_passed >= self.data['throttle']: |
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163 | 247 | print 'passed', seconds_passed |
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164 | 248 | self.__plot() |
| @@ -232,7 +316,6 class PlotSpectraData(PlotData): | |||
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232 | 316 | z = self.data[self.CODE] |
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233 | 317 | |
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234 | 318 | for n, ax in enumerate(self.axes): |
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235 | ||
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236 | 319 | if ax.firsttime: |
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237 | 320 | self.xmax = self.xmax if self.xmax else np.nanmax(x) |
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238 | 321 | self.xmin = self.xmin if self.xmin else -self.xmax |
| @@ -464,13 +547,29 class PlotRTIData(PlotData): | |||
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464 | 547 | self.ncols = 1 |
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465 | 548 | self.nrows = self.dataOut.nChannels |
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466 | 549 | self.width = 10 |
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550 | #TODO : arreglar la altura de la figura, esta hardcodeada. | |
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551 | #Se arreglo, testear! | |
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552 | if self.ind_plt_ch: | |
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553 | self.height = 3.2#*self.nrows if self.nrows<6 else 12 | |
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554 | else: | |
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467 | 555 | self.height = 2.2*self.nrows if self.nrows<6 else 12 |
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556 | ||
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557 | ''' | |
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468 | 558 | if self.nrows==1: |
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469 | 559 | self.height += 1 |
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560 | ''' | |
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470 | 561 | self.ylabel = 'Range [Km]' |
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471 | 562 | self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList] |
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472 | 563 | |
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473 | if self.figure is None: | |
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564 | ''' | |
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565 | Logica: | |
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566 | 1) Si la variable ind_plt_ch es True, va a crear mas de 1 figura | |
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567 | 2) guardamos "Figures" en una lista y "axes" en otra, quizas se deberia guardar el | |
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568 | axis dentro de "Figures" como un diccionario. | |
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569 | ''' | |
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570 | if self.ind_plt_ch is False: #standard mode | |
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571 | ||
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572 | if self.figure is None: #solo para la priemra vez | |
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474 | 573 | self.figure = plt.figure(figsize=(self.width, self.height), |
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475 | 574 | edgecolor='k', |
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476 | 575 | facecolor='w') |
| @@ -478,13 +577,40 class PlotRTIData(PlotData): | |||
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478 | 577 | self.figure.clf() |
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479 | 578 | self.axes = [] |
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480 | 579 | |
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580 | ||
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481 | 581 | for n in range(self.nrows): |
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482 | 582 | ax = self.figure.add_subplot(self.nrows, self.ncols, n+1) |
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583 | #ax = self.figure(n+1) | |
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584 | ax.firsttime = True | |
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585 | self.axes.append(ax) | |
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586 | ||
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587 | else : #append one figure foreach channel in channelList | |
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588 | if self.figurelist == None: | |
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589 | self.figurelist = [] | |
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590 | for n in range(self.nrows): | |
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591 | self.figure = plt.figure(figsize=(self.width, self.height), | |
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592 | edgecolor='k', | |
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593 | facecolor='w') | |
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594 | #add always one subplot | |
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595 | self.figurelist.append(self.figure) | |
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596 | ||
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597 | else : # cada dia nuevo limpia el axes, pero mantiene el figure | |
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598 | for eachfigure in self.figurelist: | |
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599 | eachfigure.clf() # eliminaria todas las figuras de la lista? | |
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600 | self.axes = [] | |
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601 | ||
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602 | for eachfigure in self.figurelist: | |
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603 | ax = eachfigure.add_subplot(1,1,1) #solo 1 axis por figura | |
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604 | #ax = self.figure(n+1) | |
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483 | 605 | ax.firsttime = True |
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606 | #Cada figura tiene un distinto puntero | |
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484 | 607 | self.axes.append(ax) |
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608 | #plt.close(eachfigure) | |
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609 | ||
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485 | 610 | |
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486 | 611 | def plot(self): |
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487 | 612 | |
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613 | if self.ind_plt_ch is False: #standard mode | |
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488 | 614 | self.x = np.array(self.times) |
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489 | 615 | self.y = self.dataOut.getHeiRange() |
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490 | 616 | self.z = [] |
| @@ -518,12 +644,9 class PlotRTIData(PlotData): | |||
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518 | 644 | self.figure.add_axes(cax) |
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519 | 645 | plt.colorbar(plot, cax) |
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520 | 646 | ax.set_ylim(self.ymin, self.ymax) |
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521 | ||
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522 | 647 | ax.xaxis.set_major_formatter(FuncFormatter(func)) |
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523 | 648 | ax.xaxis.set_major_locator(LinearLocator(6)) |
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524 | ||
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525 | 649 | ax.set_ylabel(self.ylabel) |
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526 | ||
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527 | 650 | # if self.xmin is None: |
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528 | 651 | # xmin = self.min_time |
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529 | 652 | # else: |
| @@ -545,6 +668,63 class PlotRTIData(PlotData): | |||
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545 | 668 | size=8) |
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546 | 669 | |
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547 | 670 | self.saveTime = self.min_time |
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671 | else : | |
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672 | self.x = np.array(self.times) | |
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673 | self.y = self.dataOut.getHeiRange() | |
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674 | self.z = [] | |
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675 | ||
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676 | for ch in range(self.nrows): | |
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677 | self.z.append([self.data[self.CODE][t][ch] for t in self.times]) | |
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678 | ||
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679 | self.z = np.array(self.z) | |
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680 | for n, eachfigure in enumerate(self.figurelist): #estaba ax in axes | |
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681 | ||
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682 | x, y, z = self.fill_gaps(*self.decimate()) | |
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683 | xmin = self.min_time | |
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684 | xmax = xmin+self.xrange*60*60 | |
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685 | self.zmin = self.zmin if self.zmin else np.min(self.z) | |
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686 | self.zmax = self.zmax if self.zmax else np.max(self.z) | |
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687 | if self.axes[n].firsttime: | |
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688 | self.ymin = self.ymin if self.ymin else np.nanmin(self.y) | |
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689 | self.ymax = self.ymax if self.ymax else np.nanmax(self.y) | |
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690 | plot = self.axes[n].pcolormesh(x, y, z[n].T, | |
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691 | vmin=self.zmin, | |
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692 | vmax=self.zmax, | |
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693 | cmap=plt.get_cmap(self.colormap) | |
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694 | ) | |
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695 | divider = make_axes_locatable(self.axes[n]) | |
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696 | cax = divider.new_horizontal(size='2%', pad=0.05) | |
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697 | eachfigure.add_axes(cax) | |
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698 | #self.figure2.add_axes(cax) | |
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699 | plt.colorbar(plot, cax) | |
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700 | self.axes[n].set_ylim(self.ymin, self.ymax) | |
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701 | ||
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702 | self.axes[n].xaxis.set_major_formatter(FuncFormatter(func)) | |
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703 | self.axes[n].xaxis.set_major_locator(LinearLocator(6)) | |
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704 | ||
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705 | self.axes[n].set_ylabel(self.ylabel) | |
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706 | ||
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707 | if self.xmin is None: | |
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708 | xmin = self.min_time | |
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709 | else: | |
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710 | xmin = (datetime.datetime.combine(self.dataOut.datatime.date(), | |
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711 | datetime.time(self.xmin, 0, 0))-d1970).total_seconds() | |
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712 | ||
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713 | self.axes[n].set_xlim(xmin, xmax) | |
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714 | self.axes[n].firsttime = False | |
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715 | else: | |
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716 | self.axes[n].collections.remove(self.axes[n].collections[0]) | |
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717 | self.axes[n].set_xlim(xmin, xmax) | |
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718 | plot = self.axes[n].pcolormesh(x, y, z[n].T, | |
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719 | vmin=self.zmin, | |
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720 | vmax=self.zmax, | |
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721 | cmap=plt.get_cmap(self.colormap) | |
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722 | ) | |
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723 | self.axes[n].set_title('{} {}'.format(self.titles[n], | |
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724 | datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')), | |
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725 | size=8) | |
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726 | ||
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727 | self.saveTime = self.min_time | |
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548 | 728 | |
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549 | 729 | |
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550 | 730 | class PlotCOHData(PlotRTIData): |
| @@ -557,6 +737,7 class PlotCOHData(PlotRTIData): | |||
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557 | 737 | self.nrows = self.dataOut.nPairs |
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558 | 738 | self.width = 10 |
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559 | 739 | self.height = 2.2*self.nrows if self.nrows<6 else 12 |
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740 | self.ind_plt_ch = False #just for coherence and phase | |
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560 | 741 | if self.nrows==1: |
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561 | 742 | self.height += 1 |
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562 | 743 | self.ylabel = 'Range [Km]' |
| @@ -1,1 +1,1 | |||
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1 | <Project description="JASMET Meteor Detection" id="002" name="script02"><ReadUnit datatype="VoltageReader" id="21" inputId="0" name="VoltageReader"><Operation id="211" name="run" priority="1" type="self"><Parameter format="str" id="2111" name="datatype" value="VoltageReader" /><Parameter format="str" id="2112" name="path" value="/home/nanosat/data/jasmet" /><Parameter format="date" id="2113" name="startDate" value="2010/08/29" /><Parameter format="date" id="2114" name="endDate" value="2017/09/11" /><Parameter format="time" id="2115" name="startTime" value="00:00:00" /><Parameter format="time" id="2116" name="endTime" value="23:59:59" /><Parameter format="int" id="2118" name="delay" value="30" /><Parameter format="int" id="2119" name="blocktime" value="100" /><Parameter format="int" id="2120" name="getblock" value="1" /><Parameter format="int" id="2121" name="walk" value="1" /><Parameter format="int" id="2122" name="online" value="0" /></Operation><Operation id="212" name="printNumberOfBlock" priority="2" type="self" /></ReadUnit><ProcUnit datatype="VoltageProc" id="22" inputId="21" name="VoltageProc"><Operation id="221" name="run" priority="1" type="self" /><Operation id="222" name="selectChannels" priority="2" type="self"><Parameter format="intlist" id="2221" name="channelList" value="0,1,2,3,4" /></Operation><Operation id="223" name="setRadarFrequency" priority="3" type="self"><Parameter format="float" id="2231" name="frequency" value="30.e6" /></Operation><Operation id="224" name="interpolateHeights" priority="4" type="self"><Parameter format="int" id="2241" name="topLim" value="73" /><Parameter format="int" id="2242" name="botLim" value="71" /></Operation><Operation id="225" name="Decoder" priority="5" type="other" /><Operation id="226" name="CohInt" priority="6" type="other"><Parameter format="int" id="2261" name="n" value="2" /></Operation></ProcUnit><ProcUnit datatype="ParametersProc" id="23" inputId="22" name="ParametersProc"><Operation id="231" name="run" priority="1" type="self" /><Operation id="232" name="SMDetection" priority="2" type="other"><Parameter format="float" id="2321" name="azimuth" value="45" /><Parameter format="float" id="2322" name="hmin" value="60" /><Parameter format="float" id="2323" name="hmax" value="120" /></Operation><Operation id="233" name="ParamWriter" priority="3" type="other"><Parameter format="str" id="2331" name="path" value="/home/nanosat/Pictures/JASMET30/201608/meteor" /><Parameter format="int" id="2332" name="blocksPerFile" value="1000" /><Parameter format="list" id="2333" name="metadataList" value="type,heightList,paramInterval,timeZone" /><Parameter format="list" id="2334" name="dataList" value="data_param,utctime" /><Parameter format="int" id="2335" name="mode" value="2" /></Operation></ProcUnit></Project> No newline at end of file | |
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1 | <Project description="Claire" id="002" name="script02"><ReadUnit datatype="VoltageReader" id="21" inputId="0" name="VoltageReader"><Operation id="211" name="run" priority="1" type="self"><Parameter format="str" id="2111" name="datatype" value="VoltageReader" /><Parameter format="str" id="2112" name="path" value="/media/nanosat/0BDE10E00BDE10E0/CLAIRE" /><Parameter format="date" id="2113" name="startDate" value="2017/07/26" /><Parameter format="date" id="2114" name="endDate" value="2017/07/26" /><Parameter format="time" id="2115" name="startTime" value="9:30:0" /><Parameter format="time" id="2116" name="endTime" value="23:59:59" /><Parameter format="int" id="2118" name="online" value="0" /><Parameter format="int" id="2119" name="walk" value="1" /></Operation><Operation id="212" name="printNumberOfBlock" priority="2" type="self" /></ReadUnit><ProcUnit datatype="VoltageProc" id="22" inputId="21" name="VoltageProc"><Operation id="221" name="run" priority="1" type="self" /></ProcUnit><ProcUnit datatype="SpectraProc" id="23" inputId="22" name="SpectraProc"><Operation id="231" name="run" priority="1" type="self"><Parameter format="int" id="2311" name="nFFTPoints" value="128" /><Parameter format="int" id="2312" name="nProfiles" value="128" /><Parameter format="pairslist" id="2313" name="pairsList" value="(0,1),(0,2),(1,2)" /></Operation><Operation id="232" name="setRadarFrequency" priority="2" type="self"><Parameter format="float" id="2321" name="frequency" value="445000000.0" /></Operation><Operation id="233" name="IncohInt" priority="3" type="other"><Parameter format="float" id="2331" name="timeInterval" value="2" /></Operation><Operation id="234" name="removeDC" priority="4" type="self"><Parameter format="int" id="2341" name="mode" value="2" /></Operation><Operation id="235" name="PublishData" priority="5" type="other"><Parameter format="int" id="2351" name="zeromq" value="1" /><Parameter format="bool" id="2352" name="verbose" value="0" /></Operation></ProcUnit></Project> No newline at end of file | |
| @@ -5,7 +5,7 Created on Jul 16, 2014 | |||
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5 | 5 | @author: Miguel Urco |
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6 | 6 | """ |
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7 | 7 | |
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8 | from schainpy import __version__ | |
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8 | import numpy | |
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9 | 9 | from setuptools import setup, Extension |
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10 | 10 | import numpy |
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11 | 11 | |
| @@ -52,7 +52,6 setup(name="schainpy", | |||
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52 | 52 | "h5py >= 2.2.1", |
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53 | 53 | "matplotlib >= 1.4.2", |
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54 | 54 | "pyfits >= 3.4", |
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55 | "numpy >= 1.11.2", | |
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56 | 55 | "paramiko >= 2.1.2", |
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57 | 56 | "paho-mqtt >= 1.2", |
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58 | 57 | "zmq", |
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