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schain-jc
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José Chávez -
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@@ -6,12 +6,13 Signal Chain (SCh) is a radar data processing library developed using [Python](w
6
6
7 ## Installation
7 ## Installation
8
8
9 Install system dependencies, download the latest stable release from [svn](http://jro-dev.igp.gob.pe/svn/jro_soft/schain/Releases/) e.g. schainpy-2.2.5.tar.gz. and install it as a normal python package.
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.
10
10
11 ```
11 ```
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
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
13 $ tar xvzf schainpy-2.2.5.tar.gz
13 $ sudo pip install numpy
14 $ cd schainpy-2.2.5
14 $ git clone http://jro-dev.igp.gob.pe/rhodecode/schain/
15 $ cd schain
15 $ sudo pip install ./
16 $ sudo pip install ./
16 ```
17 ```
17
18
@@ -21,7 +22,7 $ sudo pip install ./
21 $ sudo pip install virtualenv
22 $ sudo pip install virtualenv
22 $ virtualenv /path/to/virtual --system-site-packages
23 $ virtualenv /path/to/virtual --system-site-packages
23 $ source /path/to/virtual/bin/activate
24 $ source /path/to/virtual/bin/activate
24 (virtual) $ cd schainpy-2.2.5
25 (virtual) $ cd schain
25 (virtual) $ pip install ./
26 (virtual) $ pip install ./
26 ```
27 ```
27
28
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@@ -50,6 +50,8 def multiSchain(child, nProcess=cpu_count(), startDate=None, endDate=None, by_da
50 if by_day:
50 if by_day:
51 continue
51 continue
52 nFiles = q.get()
52 nFiles = q.get()
53 if nFiles==0:
54 continue
53 firstProcess.terminate()
55 firstProcess.terminate()
54 skip = int(math.ceil(nFiles/nProcess))
56 skip = int(math.ceil(nFiles/nProcess))
55 while True:
57 while True:
@@ -70,8 +72,10 def multiSchain(child, nProcess=cpu_count(), startDate=None, endDate=None, by_da
70 for process in processes:
72 for process in processes:
71 process.join()
73 process.join()
72 process.terminate()
74 process.terminate()
75
73 time.sleep(3)
76 time.sleep(3)
74
77
78
75 class ParameterConf():
79 class ParameterConf():
76
80
77 id = None
81 id = None
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@@ -8,5 +8,5
8 from data import *
8 from data import *
9 from io import *
9 from io import *
10 from proc import *
10 from proc import *
11 #from graphics import *
11 from graphics import *
12 from utils import *
12 from utils import *
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@@ -6,6 +6,7 import numpy
6 import datetime
6 import datetime
7 import numpy as np
7 import numpy as np
8 import matplotlib
8 import matplotlib
9 import glob
9 matplotlib.use('TkAgg')
10 matplotlib.use('TkAgg')
10 import matplotlib.pyplot as plt
11 import matplotlib.pyplot as plt
11 from mpl_toolkits.axes_grid1 import make_axes_locatable
12 from mpl_toolkits.axes_grid1 import make_axes_locatable
@@ -61,6 +62,15 class PlotData(Operation, Process):
61 self.times = []
62 self.times = []
62 #self.interactive = self.kwargs['parent']
63 #self.interactive = self.kwargs['parent']
63
64
65 '''
66 this new parameter is created to plot data from varius channels at different figures
67 1. crear una lista de figuras donde se puedan plotear las figuras,
68 2. dar las opciones de configuracion a cada figura, estas opciones son iguales para ambas figuras
69 3. probar?
70 '''
71 self.ind_plt_ch = kwargs.get('ind_plt_ch', False)
72 self.figurelist = None
73
64
74
65 def fill_gaps(self, x_buffer, y_buffer, z_buffer):
75 def fill_gaps(self, x_buffer, y_buffer, z_buffer):
66
76
@@ -92,25 +102,98 class PlotData(Operation, Process):
92
102
93 return x, y, z
103 return x, y, z
94
104
105 '''
106 JM:
107 elimana las otras imagenes generadas debido a que lso workers no llegan en orden y le pueden
108 poner otro tiempo a la figura q no necesariamente es el ultimo.
109 Solo se realiza cuando termina la imagen.
110 Problemas:
111
112 File "/home/ci-81/workspace/schainv2.3/schainpy/model/graphics/jroplot_data.py", line 145, in __plot
113 for n, eachfigure in enumerate(self.figurelist):
114 TypeError: 'NoneType' object is not iterable
115
116 '''
117 def deleteanotherfiles(self):
118 figurenames=[]
119 if self.figurelist != None:
120 for n, eachfigure in enumerate(self.figurelist):
121 #add specific name for each channel in channelList
122 ghostfigname = os.path.join(self.save, '{}_{}_{}'.format(self.titles[n].replace(' ',''),self.CODE,
123 datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d')))
124 figname = os.path.join(self.save, '{}_{}_{}.png'.format(self.titles[n].replace(' ',''),self.CODE,
125 datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S')))
126
127 for ghostfigure in glob.glob(ghostfigname+'*'): #ghostfigure will adopt all posible names of figures
128 if ghostfigure != figname:
129 os.remove(ghostfigure)
130 print 'Removing GhostFigures:' , figname
131 else :
132 '''Erasing ghost images for just on******************'''
133 ghostfigname = os.path.join(self.save, '{}_{}'.format(self.CODE,datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d')))
134 figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE,datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S')))
135 for ghostfigure in glob.glob(ghostfigname+'*'): #ghostfigure will adopt all posible names of figures
136 if ghostfigure != figname:
137 os.remove(ghostfigure)
138 print 'Removing GhostFigures:' , figname
139
95 def __plot(self):
140 def __plot(self):
96
141
97 print 'plotting...{}'.format(self.CODE)
142 print 'plotting...{}'.format(self.CODE)
98
143 if self.ind_plt_ch is False : #standard
99 if self.show:
144 if self.show:
100 self.figure.show()
145 self.figure.show()
101
146 self.plot()
102 self.plot()
147 plt.tight_layout()
103 plt.tight_layout()
148 self.figure.canvas.manager.set_window_title('{} {} - {}'.format(self.title, self.CODE.upper(),
104 self.figure.canvas.manager.set_window_title('{} {} - {}'.format(self.title, self.CODE.upper(),
105 datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d')))
149 datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d')))
150 else :
151 print 'len(self.figurelist): ',len(self.figurelist)
152 for n, eachfigure in enumerate(self.figurelist):
153 if self.show:
154 eachfigure.show()
155
156 self.plot()
157 eachfigure.tight_layout() # ajuste de cada subplot
158 eachfigure.canvas.manager.set_window_title('{} {} - {}'.format(self.title[n], self.CODE.upper(),
159 datetime.datetime.fromtimestamp(self.max_time).strftime('%Y/%m/%d')))
160
161 # if self.save:
162 # if self.ind_plt_ch is False : #standard
163 # figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE,
164 # datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S')))
165 # print 'Saving figure: {}'.format(figname)
166 # self.figure.savefig(figname)
167 # else :
168 # for n, eachfigure in enumerate(self.figurelist):
169 # #add specific name for each channel in channelList
170 # figname = os.path.join(self.save, '{}_{}_{}.png'.format(self.titles[n],self.CODE,
171 # datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S')))
172 #
173 # print 'Saving figure: {}'.format(figname)
174 # eachfigure.savefig(figname)
175
176 if self.ind_plt_ch is False :
177 self.figure.canvas.draw()
178 else :
179 for eachfigure in self.figurelist:
180 eachfigure.canvas.draw()
106
181
107 if self.save:
182 if self.save:
108 figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE,
183 if self.ind_plt_ch is False : #standard
109 datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S')))
184 figname = os.path.join(self.save, '{}_{}.png'.format(self.CODE,
110 print 'Saving figure: {}'.format(figname)
185 datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S')))
111 self.figure.savefig(figname)
186 print 'Saving figure: {}'.format(figname)
187 self.figure.savefig(figname)
188 else :
189 for n, eachfigure in enumerate(self.figurelist):
190 #add specific name for each channel in channelList
191 figname = os.path.join(self.save, '{}_{}_{}.png'.format(self.titles[n].replace(' ',''),self.CODE,
192 datetime.datetime.fromtimestamp(self.saveTime).strftime('%y%m%d_%H%M%S')))
193
194 print 'Saving figure: {}'.format(figname)
195 eachfigure.savefig(figname)
112
196
113 self.figure.canvas.draw()
114
197
115 def plot(self):
198 def plot(self):
116
199
@@ -125,7 +208,7 class PlotData(Operation, Process):
125 receiver = context.socket(zmq.SUB)
208 receiver = context.socket(zmq.SUB)
126 receiver.setsockopt(zmq.SUBSCRIBE, '')
209 receiver.setsockopt(zmq.SUBSCRIBE, '')
127 receiver.setsockopt(zmq.CONFLATE, self.CONFLATE)
210 receiver.setsockopt(zmq.CONFLATE, self.CONFLATE)
128
211
129 if 'server' in self.kwargs['parent']:
212 if 'server' in self.kwargs['parent']:
130 receiver.connect('ipc:///tmp/{}.plots'.format(self.kwargs['parent']['server']))
213 receiver.connect('ipc:///tmp/{}.plots'.format(self.kwargs['parent']['server']))
131 else:
214 else:
@@ -159,6 +242,7 class PlotData(Operation, Process):
159 self.ended = True
242 self.ended = True
160 self.isConfig = False
243 self.isConfig = False
161 self.__plot()
244 self.__plot()
245 self.deleteanotherfiles() #CLPDG
162 elif seconds_passed >= self.data['throttle']:
246 elif seconds_passed >= self.data['throttle']:
163 print 'passed', seconds_passed
247 print 'passed', seconds_passed
164 self.__plot()
248 self.__plot()
@@ -232,7 +316,6 class PlotSpectraData(PlotData):
232 z = self.data[self.CODE]
316 z = self.data[self.CODE]
233
317
234 for n, ax in enumerate(self.axes):
318 for n, ax in enumerate(self.axes):
235
236 if ax.firsttime:
319 if ax.firsttime:
237 self.xmax = self.xmax if self.xmax else np.nanmax(x)
320 self.xmax = self.xmax if self.xmax else np.nanmax(x)
238 self.xmin = self.xmin if self.xmin else -self.xmax
321 self.xmin = self.xmin if self.xmin else -self.xmax
@@ -464,87 +547,184 class PlotRTIData(PlotData):
464 self.ncols = 1
547 self.ncols = 1
465 self.nrows = self.dataOut.nChannels
548 self.nrows = self.dataOut.nChannels
466 self.width = 10
549 self.width = 10
467 self.height = 2.2*self.nrows if self.nrows<6 else 12
550 #TODO : arreglar la altura de la figura, esta hardcodeada.
551 #Se arreglo, testear!
552 if self.ind_plt_ch:
553 self.height = 3.2#*self.nrows if self.nrows<6 else 12
554 else:
555 self.height = 2.2*self.nrows if self.nrows<6 else 12
556
557 '''
468 if self.nrows==1:
558 if self.nrows==1:
469 self.height += 1
559 self.height += 1
560 '''
470 self.ylabel = 'Range [Km]'
561 self.ylabel = 'Range [Km]'
471 self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList]
562 self.titles = ['Channel {}'.format(x) for x in self.dataOut.channelList]
472
563
473 if self.figure is None:
564 '''
474 self.figure = plt.figure(figsize=(self.width, self.height),
565 Logica:
475 edgecolor='k',
566 1) Si la variable ind_plt_ch es True, va a crear mas de 1 figura
476 facecolor='w')
567 2) guardamos "Figures" en una lista y "axes" en otra, quizas se deberia guardar el
477 else:
568 axis dentro de "Figures" como un diccionario.
478 self.figure.clf()
569 '''
479 self.axes = []
570 if self.ind_plt_ch is False: #standard mode
480
571
481 for n in range(self.nrows):
572 if self.figure is None: #solo para la priemra vez
482 ax = self.figure.add_subplot(self.nrows, self.ncols, n+1)
573 self.figure = plt.figure(figsize=(self.width, self.height),
483 ax.firsttime = True
574 edgecolor='k',
484 self.axes.append(ax)
575 facecolor='w')
485
486 def plot(self):
487
488 self.x = np.array(self.times)
489 self.y = self.dataOut.getHeiRange()
490 self.z = []
491
492 for ch in range(self.nrows):
493 self.z.append([self.data[self.CODE][t][ch] for t in self.times])
494
495 self.z = np.array(self.z)
496 for n, ax in enumerate(self.axes):
497 x, y, z = self.fill_gaps(*self.decimate())
498 if self.xmin is None:
499 xmin = self.min_time
500 else:
501 xmin = fromtimestamp(int(self.xmin), self.min_time)
502 if self.xmax is None:
503 xmax = xmin + self.xrange*60*60
504 else:
576 else:
505 xmax = xmin + (self.xmax - self.xmin) * 60 * 60
577 self.figure.clf()
506 self.zmin = self.zmin if self.zmin else np.min(self.z)
578 self.axes = []
507 self.zmax = self.zmax if self.zmax else np.max(self.z)
508 if ax.firsttime:
509 self.ymin = self.ymin if self.ymin else np.nanmin(self.y)
510 self.ymax = self.ymax if self.ymax else np.nanmax(self.y)
511 plot = ax.pcolormesh(x, y, z[n].T,
512 vmin=self.zmin,
513 vmax=self.zmax,
514 cmap=plt.get_cmap(self.colormap)
515 )
516 divider = make_axes_locatable(ax)
517 cax = divider.new_horizontal(size='2%', pad=0.05)
518 self.figure.add_axes(cax)
519 plt.colorbar(plot, cax)
520 ax.set_ylim(self.ymin, self.ymax)
521
579
522 ax.xaxis.set_major_formatter(FuncFormatter(func))
523 ax.xaxis.set_major_locator(LinearLocator(6))
524
580
525 ax.set_ylabel(self.ylabel)
581 for n in range(self.nrows):
582 ax = self.figure.add_subplot(self.nrows, self.ncols, n+1)
583 #ax = self.figure(n+1)
584 ax.firsttime = True
585 self.axes.append(ax)
586
587 else : #append one figure foreach channel in channelList
588 if self.figurelist == None:
589 self.figurelist = []
590 for n in range(self.nrows):
591 self.figure = plt.figure(figsize=(self.width, self.height),
592 edgecolor='k',
593 facecolor='w')
594 #add always one subplot
595 self.figurelist.append(self.figure)
596
597 else : # cada dia nuevo limpia el axes, pero mantiene el figure
598 for eachfigure in self.figurelist:
599 eachfigure.clf() # eliminaria todas las figuras de la lista?
600 self.axes = []
601
602 for eachfigure in self.figurelist:
603 ax = eachfigure.add_subplot(1,1,1) #solo 1 axis por figura
604 #ax = self.figure(n+1)
605 ax.firsttime = True
606 #Cada figura tiene un distinto puntero
607 self.axes.append(ax)
608 #plt.close(eachfigure)
526
609
527 # if self.xmin is None:
528 # xmin = self.min_time
529 # else:
530 # xmin = (datetime.datetime.combine(self.dataOut.datatime.date(),
531 # datetime.time(self.xmin, 0, 0))-d1970).total_seconds()
532
610
533 ax.set_xlim(xmin, xmax)
611 def plot(self):
534 ax.firsttime = False
535 else:
536 ax.collections.remove(ax.collections[0])
537 ax.set_xlim(xmin, xmax)
538 plot = ax.pcolormesh(x, y, z[n].T,
539 vmin=self.zmin,
540 vmax=self.zmax,
541 cmap=plt.get_cmap(self.colormap)
542 )
543 ax.set_title('{} {}'.format(self.titles[n],
544 datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')),
545 size=8)
546
612
547 self.saveTime = self.min_time
613 if self.ind_plt_ch is False: #standard mode
614 self.x = np.array(self.times)
615 self.y = self.dataOut.getHeiRange()
616 self.z = []
617
618 for ch in range(self.nrows):
619 self.z.append([self.data[self.CODE][t][ch] for t in self.times])
620
621 self.z = np.array(self.z)
622 for n, ax in enumerate(self.axes):
623 x, y, z = self.fill_gaps(*self.decimate())
624 if self.xmin is None:
625 xmin = self.min_time
626 else:
627 xmin = fromtimestamp(int(self.xmin), self.min_time)
628 if self.xmax is None:
629 xmax = xmin + self.xrange*60*60
630 else:
631 xmax = xmin + (self.xmax - self.xmin) * 60 * 60
632 self.zmin = self.zmin if self.zmin else np.min(self.z)
633 self.zmax = self.zmax if self.zmax else np.max(self.z)
634 if ax.firsttime:
635 self.ymin = self.ymin if self.ymin else np.nanmin(self.y)
636 self.ymax = self.ymax if self.ymax else np.nanmax(self.y)
637 plot = ax.pcolormesh(x, y, z[n].T,
638 vmin=self.zmin,
639 vmax=self.zmax,
640 cmap=plt.get_cmap(self.colormap)
641 )
642 divider = make_axes_locatable(ax)
643 cax = divider.new_horizontal(size='2%', pad=0.05)
644 self.figure.add_axes(cax)
645 plt.colorbar(plot, cax)
646 ax.set_ylim(self.ymin, self.ymax)
647 ax.xaxis.set_major_formatter(FuncFormatter(func))
648 ax.xaxis.set_major_locator(LinearLocator(6))
649 ax.set_ylabel(self.ylabel)
650 # if self.xmin is None:
651 # xmin = self.min_time
652 # else:
653 # xmin = (datetime.datetime.combine(self.dataOut.datatime.date(),
654 # datetime.time(self.xmin, 0, 0))-d1970).total_seconds()
655
656 ax.set_xlim(xmin, xmax)
657 ax.firsttime = False
658 else:
659 ax.collections.remove(ax.collections[0])
660 ax.set_xlim(xmin, xmax)
661 plot = ax.pcolormesh(x, y, z[n].T,
662 vmin=self.zmin,
663 vmax=self.zmax,
664 cmap=plt.get_cmap(self.colormap)
665 )
666 ax.set_title('{} {}'.format(self.titles[n],
667 datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')),
668 size=8)
669
670 self.saveTime = self.min_time
671 else :
672 self.x = np.array(self.times)
673 self.y = self.dataOut.getHeiRange()
674 self.z = []
675
676 for ch in range(self.nrows):
677 self.z.append([self.data[self.CODE][t][ch] for t in self.times])
678
679 self.z = np.array(self.z)
680 for n, eachfigure in enumerate(self.figurelist): #estaba ax in axes
681
682 x, y, z = self.fill_gaps(*self.decimate())
683 xmin = self.min_time
684 xmax = xmin+self.xrange*60*60
685 self.zmin = self.zmin if self.zmin else np.min(self.z)
686 self.zmax = self.zmax if self.zmax else np.max(self.z)
687 if self.axes[n].firsttime:
688 self.ymin = self.ymin if self.ymin else np.nanmin(self.y)
689 self.ymax = self.ymax if self.ymax else np.nanmax(self.y)
690 plot = self.axes[n].pcolormesh(x, y, z[n].T,
691 vmin=self.zmin,
692 vmax=self.zmax,
693 cmap=plt.get_cmap(self.colormap)
694 )
695 divider = make_axes_locatable(self.axes[n])
696 cax = divider.new_horizontal(size='2%', pad=0.05)
697 eachfigure.add_axes(cax)
698 #self.figure2.add_axes(cax)
699 plt.colorbar(plot, cax)
700 self.axes[n].set_ylim(self.ymin, self.ymax)
701
702 self.axes[n].xaxis.set_major_formatter(FuncFormatter(func))
703 self.axes[n].xaxis.set_major_locator(LinearLocator(6))
704
705 self.axes[n].set_ylabel(self.ylabel)
706
707 if self.xmin is None:
708 xmin = self.min_time
709 else:
710 xmin = (datetime.datetime.combine(self.dataOut.datatime.date(),
711 datetime.time(self.xmin, 0, 0))-d1970).total_seconds()
712
713 self.axes[n].set_xlim(xmin, xmax)
714 self.axes[n].firsttime = False
715 else:
716 self.axes[n].collections.remove(self.axes[n].collections[0])
717 self.axes[n].set_xlim(xmin, xmax)
718 plot = self.axes[n].pcolormesh(x, y, z[n].T,
719 vmin=self.zmin,
720 vmax=self.zmax,
721 cmap=plt.get_cmap(self.colormap)
722 )
723 self.axes[n].set_title('{} {}'.format(self.titles[n],
724 datetime.datetime.fromtimestamp(self.max_time).strftime('%y/%m/%d %H:%M:%S')),
725 size=8)
726
727 self.saveTime = self.min_time
548
728
549
729
550 class PlotCOHData(PlotRTIData):
730 class PlotCOHData(PlotRTIData):
@@ -557,6 +737,7 class PlotCOHData(PlotRTIData):
557 self.nrows = self.dataOut.nPairs
737 self.nrows = self.dataOut.nPairs
558 self.width = 10
738 self.width = 10
559 self.height = 2.2*self.nrows if self.nrows<6 else 12
739 self.height = 2.2*self.nrows if self.nrows<6 else 12
740 self.ind_plt_ch = False #just for coherence and phase
560 if self.nrows==1:
741 if self.nrows==1:
561 self.height += 1
742 self.height += 1
562 self.ylabel = 'Range [Km]'
743 self.ylabel = 'Range [Km]'
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@@ -1,1 +1,1
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
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
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@@ -5,7 +5,7 Created on Jul 16, 2014
5 @author: Miguel Urco
5 @author: Miguel Urco
6 """
6 """
7
7
8 from schainpy import __version__
8 import numpy
9 from setuptools import setup, Extension
9 from setuptools import setup, Extension
10 import numpy
10 import numpy
11
11
@@ -51,8 +51,7 setup(name="schainpy",
51 "scipy >= 0.14.0",
51 "scipy >= 0.14.0",
52 "h5py >= 2.2.1",
52 "h5py >= 2.2.1",
53 "matplotlib >= 1.4.2",
53 "matplotlib >= 1.4.2",
54 "pyfits >= 3.4",
54 "pyfits >= 3.4",
55 "numpy >= 1.11.2",
56 "paramiko >= 2.1.2",
55 "paramiko >= 2.1.2",
57 "paho-mqtt >= 1.2",
56 "paho-mqtt >= 1.2",
58 "zmq",
57 "zmq",
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