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1 import os
2 import datetime
3 import numpy
4
5 from schainpy.model.graphics.jroplot_base import Plot, plt
6 from schainpy.model.graphics.jroplot_spectra import SpectraPlot, RTIPlot, CoherencePlot, SpectraCutPlot
7 from schainpy.utils import log
8 # libreria wradlib
9 import wradlib as wrl
10
11 EARTH_RADIUS = 6.3710e3
12
13
14 def ll2xy(lat1, lon1, lat2, lon2):
15
16 p = 0.017453292519943295
17 a = 0.5 - numpy.cos((lat2 - lat1) * p)/2 + numpy.cos(lat1 * p) * \
18 numpy.cos(lat2 * p) * (1 - numpy.cos((lon2 - lon1) * p)) / 2
19 r = 12742 * numpy.arcsin(numpy.sqrt(a))
20 theta = numpy.arctan2(numpy.sin((lon2-lon1)*p)*numpy.cos(lat2*p), numpy.cos(lat1*p)
21 * numpy.sin(lat2*p)-numpy.sin(lat1*p)*numpy.cos(lat2*p)*numpy.cos((lon2-lon1)*p))
22 theta = -theta + numpy.pi/2
23 return r*numpy.cos(theta), r*numpy.sin(theta)
24
25
26 def km2deg(km):
27 '''
28 Convert distance in km to degrees
29 '''
30
31 return numpy.rad2deg(km/EARTH_RADIUS)
32
33
34
35 class SpectralMomentsPlot(SpectraPlot):
36 '''
37 Plot for Spectral Moments
38 '''
39 CODE = 'spc_moments'
40 # colormap = 'jet'
41 # plot_type = 'pcolor'
42
43 class DobleGaussianPlot(SpectraPlot):
44 '''
45 Plot for Double Gaussian Plot
46 '''
47 CODE = 'gaussian_fit'
48 # colormap = 'jet'
49 # plot_type = 'pcolor'
50
51 class DoubleGaussianSpectraCutPlot(SpectraCutPlot):
52 '''
53 Plot SpectraCut with Double Gaussian Fit
54 '''
55 CODE = 'cut_gaussian_fit'
56
57 class SnrPlot(RTIPlot):
58 '''
59 Plot for SNR Data
60 '''
61
62 CODE = 'snr'
63 colormap = 'jet'
64
65 def update(self, dataOut):
66
67 data = {
68 'snr': 10*numpy.log10(dataOut.data_snr)
69 }
70
71 return data, {}
72
73 class DopplerPlot(RTIPlot):
74 '''
75 Plot for DOPPLER Data (1st moment)
76 '''
77
78 CODE = 'dop'
79 colormap = 'jet'
80
81 def update(self, dataOut):
82
83 data = {
84 'dop': 10*numpy.log10(dataOut.data_dop)
85 }
86
87 return data, {}
88
89 class PowerPlot(RTIPlot):
90 '''
91 Plot for Power Data (0 moment)
92 '''
93
94 CODE = 'pow'
95 colormap = 'jet'
96
97 def update(self, dataOut):
98
99 data = {
100 'pow': 10*numpy.log10(dataOut.data_pow/dataOut.normFactor)
101 }
102
103 return data, {}
104
105 class SpectralWidthPlot(RTIPlot):
106 '''
107 Plot for Spectral Width Data (2nd moment)
108 '''
109
110 CODE = 'width'
111 colormap = 'jet'
112
113 def update(self, dataOut):
114
115 data = {
116 'width': dataOut.data_width
117 }
118
119 return data, {}
120
121 class SkyMapPlot(Plot):
122 '''
123 Plot for meteors detection data
124 '''
125
126 CODE = 'param'
127
128 def setup(self):
129
130 self.ncols = 1
131 self.nrows = 1
132 self.width = 7.2
133 self.height = 7.2
134 self.nplots = 1
135 self.xlabel = 'Zonal Zenith Angle (deg)'
136 self.ylabel = 'Meridional Zenith Angle (deg)'
137 self.polar = True
138 self.ymin = -180
139 self.ymax = 180
140 self.colorbar = False
141
142 def plot(self):
143
144 arrayParameters = numpy.concatenate(self.data['param'])
145 error = arrayParameters[:, -1]
146 indValid = numpy.where(error == 0)[0]
147 finalMeteor = arrayParameters[indValid, :]
148 finalAzimuth = finalMeteor[:, 3]
149 finalZenith = finalMeteor[:, 4]
150
151 x = finalAzimuth * numpy.pi / 180
152 y = finalZenith
153
154 ax = self.axes[0]
155
156 if ax.firsttime:
157 ax.plot = ax.plot(x, y, 'bo', markersize=5)[0]
158 else:
159 ax.plot.set_data(x, y)
160
161 dt1 = self.getDateTime(self.data.min_time).strftime('%y/%m/%d %H:%M:%S')
162 dt2 = self.getDateTime(self.data.max_time).strftime('%y/%m/%d %H:%M:%S')
163 title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1,
164 dt2,
165 len(x))
166 self.titles[0] = title
167
168
169 class GenericRTIPlot(Plot):
170 '''
171 Plot for data_xxxx object
172 '''
173
174 CODE = 'param'
175 colormap = 'viridis'
176 plot_type = 'pcolorbuffer'
177
178 def setup(self):
179 self.xaxis = 'time'
180 self.ncols = 1
181 self.nrows = self.data.shape('param')[0]
182 self.nplots = self.nrows
183 self.plots_adjust.update({'hspace':0.8, 'left': 0.1, 'bottom': 0.08, 'right':0.95, 'top': 0.95})
184
185 if not self.xlabel:
186 self.xlabel = 'Time'
187
188 self.ylabel = 'Range [km]'
189 if not self.titles:
190 self.titles = ['Param {}'.format(x) for x in range(self.nrows)]
191
192 def update(self, dataOut):
193
194 data = {
195 'param' : numpy.concatenate([getattr(dataOut, attr) for attr in self.attr_data], axis=0)
196 }
197
198 meta = {}
199
200 return data, meta
201
202 def plot(self):
203 # self.data.normalize_heights()
204 self.x = self.data.times
205 self.y = self.data.yrange
206 self.z = self.data['param']
207
208 self.z = 10*numpy.log10(self.z)
209
210 self.z = numpy.ma.masked_invalid(self.z)
211
212 if self.decimation is None:
213 x, y, z = self.fill_gaps(self.x, self.y, self.z)
214 else:
215 x, y, z = self.fill_gaps(*self.decimate())
216
217 for n, ax in enumerate(self.axes):
218
219 self.zmax = self.zmax if self.zmax is not None else numpy.max(
220 self.z[n])
221 self.zmin = self.zmin if self.zmin is not None else numpy.min(
222 self.z[n])
223
224 if ax.firsttime:
225 if self.zlimits is not None:
226 self.zmin, self.zmax = self.zlimits[n]
227
228 ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n],
229 vmin=self.zmin,
230 vmax=self.zmax,
231 cmap=self.cmaps[n]
232 )
233 else:
234 if self.zlimits is not None:
235 self.zmin, self.zmax = self.zlimits[n]
236 ax.collections.remove(ax.collections[0])
237 ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n],
238 vmin=self.zmin,
239 vmax=self.zmax,
240 cmap=self.cmaps[n]
241 )
242
243
244 class PolarMapPlot(Plot):
245 '''
246 Plot for weather radar
247 '''
248
249 CODE = 'param'
250 colormap = 'seismic'
251
252 def setup(self):
253 self.ncols = 1
254 self.nrows = 1
255 self.width = 9
256 self.height = 8
257 self.mode = self.data.meta['mode']
258 if self.channels is not None:
259 self.nplots = len(self.channels)
260 self.nrows = len(self.channels)
261 else:
262 self.nplots = self.data.shape(self.CODE)[0]
263 self.nrows = self.nplots
264 self.channels = list(range(self.nplots))
265 if self.mode == 'E':
266 self.xlabel = 'Longitude'
267 self.ylabel = 'Latitude'
268 else:
269 self.xlabel = 'Range (km)'
270 self.ylabel = 'Height (km)'
271 self.bgcolor = 'white'
272 self.cb_labels = self.data.meta['units']
273 self.lat = self.data.meta['latitude']
274 self.lon = self.data.meta['longitude']
275 self.xmin, self.xmax = float(
276 km2deg(self.xmin) + self.lon), float(km2deg(self.xmax) + self.lon)
277 self.ymin, self.ymax = float(
278 km2deg(self.ymin) + self.lat), float(km2deg(self.ymax) + self.lat)
279 # self.polar = True
280
281 def plot(self):
282
283 for n, ax in enumerate(self.axes):
284 data = self.data['param'][self.channels[n]]
285
286 zeniths = numpy.linspace(
287 0, self.data.meta['max_range'], data.shape[1])
288 if self.mode == 'E':
289 azimuths = -numpy.radians(self.data.yrange)+numpy.pi/2
290 r, theta = numpy.meshgrid(zeniths, azimuths)
291 x, y = r*numpy.cos(theta)*numpy.cos(numpy.radians(self.data.meta['elevation'])), r*numpy.sin(
292 theta)*numpy.cos(numpy.radians(self.data.meta['elevation']))
293 x = km2deg(x) + self.lon
294 y = km2deg(y) + self.lat
295 else:
296 azimuths = numpy.radians(self.data.yrange)
297 r, theta = numpy.meshgrid(zeniths, azimuths)
298 x, y = r*numpy.cos(theta), r*numpy.sin(theta)
299 self.y = zeniths
300
301 if ax.firsttime:
302 if self.zlimits is not None:
303 self.zmin, self.zmax = self.zlimits[n]
304 ax.plt = ax.pcolormesh( # r, theta, numpy.ma.array(data, mask=numpy.isnan(data)),
305 x, y, numpy.ma.array(data, mask=numpy.isnan(data)),
306 vmin=self.zmin,
307 vmax=self.zmax,
308 cmap=self.cmaps[n])
309 else:
310 if self.zlimits is not None:
311 self.zmin, self.zmax = self.zlimits[n]
312 ax.collections.remove(ax.collections[0])
313 ax.plt = ax.pcolormesh( # r, theta, numpy.ma.array(data, mask=numpy.isnan(data)),
314 x, y, numpy.ma.array(data, mask=numpy.isnan(data)),
315 vmin=self.zmin,
316 vmax=self.zmax,
317 cmap=self.cmaps[n])
318
319 if self.mode == 'A':
320 continue
321
322 # plot district names
323 f = open('/data/workspace/schain_scripts/distrito.csv')
324 for line in f:
325 label, lon, lat = [s.strip() for s in line.split(',') if s]
326 lat = float(lat)
327 lon = float(lon)
328 # ax.plot(lon, lat, '.b', ms=2)
329 ax.text(lon, lat, label.decode('utf8'), ha='center',
330 va='bottom', size='8', color='black')
331
332 # plot limites
333 limites = []
334 tmp = []
335 for line in open('/data/workspace/schain_scripts/lima.csv'):
336 if '#' in line:
337 if tmp:
338 limites.append(tmp)
339 tmp = []
340 continue
341 values = line.strip().split(',')
342 tmp.append((float(values[0]), float(values[1])))
343 for points in limites:
344 ax.add_patch(
345 Polygon(points, ec='k', fc='none', ls='--', lw=0.5))
346
347 # plot Cuencas
348 for cuenca in ('rimac', 'lurin', 'mala', 'chillon', 'chilca', 'chancay-huaral'):
349 f = open('/data/workspace/schain_scripts/{}.csv'.format(cuenca))
350 values = [line.strip().split(',') for line in f]
351 points = [(float(s[0]), float(s[1])) for s in values]
352 ax.add_patch(Polygon(points, ec='b', fc='none'))
353
354 # plot grid
355 for r in (15, 30, 45, 60):
356 ax.add_artist(plt.Circle((self.lon, self.lat),
357 km2deg(r), color='0.6', fill=False, lw=0.2))
358 ax.text(
359 self.lon + (km2deg(r))*numpy.cos(60*numpy.pi/180),
360 self.lat + (km2deg(r))*numpy.sin(60*numpy.pi/180),
361 '{}km'.format(r),
362 ha='center', va='bottom', size='8', color='0.6', weight='heavy')
363
364 if self.mode == 'E':
365 title = 'El={}$^\circ$'.format(self.data.meta['elevation'])
366 label = 'E{:02d}'.format(int(self.data.meta['elevation']))
367 else:
368 title = 'Az={}$^\circ$'.format(self.data.meta['azimuth'])
369 label = 'A{:02d}'.format(int(self.data.meta['azimuth']))
370
371 self.save_labels = ['{}-{}'.format(lbl, label) for lbl in self.labels]
372 self.titles = ['{} {}'.format(
373 self.data.parameters[x], title) for x in self.channels]
374
375 class WeatherPlot(Plot):
376 CODE = 'weather'
377 plot_name = 'weather'
378 plot_type = 'ppistyle'
379 buffering = False
380
381 def setup(self):
382 self.ncols = 1
383 self.nrows = 1
384 self.nplots= 1
385 self.ylabel= 'Range [Km]'
386 self.titles= ['Weather']
387 self.colorbar=False
388 self.width =8
389 self.height =8
390 self.ini =0
391 self.len_azi =0
392 self.buffer_ini = None
393 self.buffer_azi = None
394 self.plots_adjust.update({'wspace': 0.4, 'hspace':0.4, 'left': 0.1, 'right': 0.9, 'bottom': 0.08})
395 self.flag =0
396 self.indicador= 0
397
398 def update(self, dataOut):
399
400 data = {}
401 meta = {}
402 data['weather'] = 10*numpy.log10(dataOut.data_360[0]/(250**2))
403 data['azi'] = dataOut.data_azi
404
405 return data, meta
406
407 def plot(self):
408 thisDatetime = datetime.datetime.utcfromtimestamp(self.data.times[-1])
409 print("--------------------------------------",self.ini,"-----------------------------------")
410 print("time",self.data.times[-1])
411 data = self.data[-1]
412 #print("debug_0", data)
413 tmp_h = (data['weather'].shape[1])/10.0
414 #print("debug_1",tmp_h)
415 stoprange = float(tmp_h*1.5)#stoprange = float(33*1.5) por ahora 400
416 rangestep = float(0.15)
417 r = numpy.arange(0, stoprange, rangestep)
418 self.y = 2*r
419 print("---------------")
420 tmp_v = data['weather']
421 #print("tmp_v",tmp_v.shape)
422 tmp_z = data['azi']
423 print("tmp_z-------------->",tmp_z)
424 ##if self.ini==0:
425 ## tmp_z= [0,1,2,3,4,5,6,7,8,9]
426
427 #print("tmp_z",tmp_z.shape)
428 res = 1
429 step = (360/(res*tmp_v.shape[0]))
430 #print("step",step)
431 mode = 1
432 if mode==0:
433 #print("self.ini",self.ini)
434 val = numpy.mean(tmp_v[:,0])
435 self.len_azi = len(tmp_z)
436 ones = numpy.ones([(360-tmp_v.shape[0]),tmp_v.shape[1]])*val
437 self.buffer_ini = numpy.vstack((tmp_v,ones))
438
439 n = ((360/res)-len(tmp_z))
440 start = tmp_z[-1]+res
441 end = tmp_z[0]-res
442 if start>end:
443 end = end+360
444 azi_zeros = numpy.linspace(start,end,int(n))
445 azi_zeros = numpy.where(azi_zeros>360,azi_zeros-360,azi_zeros)
446 self.buffer_ini_azi = numpy.hstack((tmp_z,azi_zeros))
447 self.ini = self.ini+1
448
449 if mode==1:
450 #print("################")
451 #print("################")
452 #print("mode",self.ini)
453 #print("self.ini",self.ini)
454 if self.ini==0:
455 res = 1
456 step = (360/(res*tmp_v.shape[0]))
457 val = numpy.mean(tmp_v[:,0])
458 self.len_azi = len(tmp_z)
459 self.buf_tmp = tmp_v
460 ones = numpy.ones([(360-tmp_v.shape[0]),tmp_v.shape[1]])*val
461 self.buffer_ini = numpy.vstack((tmp_v,ones))
462
463 n = ((360/res)-len(tmp_z))
464 start = tmp_z[-1]+res
465 end = tmp_z[0]-res
466 if start>end:
467 end =end+360
468 azi_zeros = numpy.linspace(start,end,int(n))
469 azi_zeros = numpy.where(azi_zeros>360,azi_zeros-360,azi_zeros)
470 self.buf_azi = tmp_z
471 self.buffer_ini_azi = numpy.hstack((tmp_z,azi_zeros))
472 self.ini = self.ini+1
473 elif 0<self.ini<step:
474 '''
475 if self.ini>31:
476 start= tmp_z[0]
477 end =tmp_z[-1]
478 print("start","end",start,end)
479 if self.ini==32:
480 tmp_v=tmp_v+20
481 if self.ini==33:
482 tmp_v=tmp_v+10
483 if self.ini==34:
484 tmp_v=tmp_v+20
485 if self.ini==35:
486 tmp_v=tmp_v+20
487 '''
488 self.buf_tmp= numpy.vstack((self.buf_tmp,tmp_v))
489 print("ERROR_INMINENTE",self.buf_tmp.shape)
490 if self.buf_tmp.shape[0]==360:
491 print("entre aqui en 360 grados")
492 self.buffer_ini=self.buf_tmp
493 else:
494 # nuevo#########
495 self.buffer_ini[0:self.buf_tmp.shape[0],:]=self.buf_tmp
496 ################
497 #val=30.0
498 #ones = numpy.ones([(360-self.buf_tmp.shape[0]),self.buf_tmp.shape[1]])*val
499 #self.buffer_ini = numpy.vstack((self.buf_tmp,ones))
500
501 self.buf_azi = numpy.hstack((self.buf_azi,tmp_z))
502 n = ((360/res)-len(self.buf_azi))
503 print("n----->",n)
504 if n==0:
505 self.buffer_ini_azi = self.buf_azi
506 else:
507 start = self.buf_azi[-1]+res
508 end = self.buf_azi[0]-res
509 print("start",start)
510 print("end",end)
511 if start>end:
512 end =end+360
513 azi_zeros = numpy.linspace(start,end,int(n))
514 azi_zeros = numpy.where(azi_zeros>360,azi_zeros-360,azi_zeros)
515 print("self.buf_azi",self.buf_azi[0])
516 print("tmp_Z 0 ",tmp_z[0])
517 print("tmp_Z -1",tmp_z[-1])
518 if tmp_z[0]<self.buf_azi[0] <tmp_z[-1]:
519 print("activando indicador")
520 self.indicador=1
521 if self.indicador==1:
522 azi_zeros = numpy.ones(360-len(self.buf_azi))*(tmp_z[-1]+res)
523 ###start = tmp_z[-1]+res
524 ###end = tmp_z[0]-res
525 ###if start>end:
526 ### end =end+360
527 ###azi_zeros = numpy.linspace(start,end,int(n))
528 ###azi_zeros = numpy.where(azi_zeros>360,azi_zeros-360,azi_zeros)
529 #print("azi_zeros",azi_zeros)
530
531 ######self.buffer_ini_azi = numpy.hstack((self.buf_azi,azi_zeros))
532 #self.buffer_ini[0:tmv.shape[0],:]=tmp_v
533 ##self.indicador=0
534
535 # self.indicador = True
536 #if self.indicador==True:
537 # azi_zeros = numpy.ones(360-len(self.buf_azi))*(tmp_z[-1]+res)
538
539 #self.buf_azi = tmp_z
540 self.buffer_ini_azi = numpy.hstack((self.buf_azi,azi_zeros))
541
542 if self.ini==step-1:
543 start= tmp_z[0]
544 end = tmp_z[-1]
545 #print("start","end",start,end)
546 ###print(self.buffer_ini_azi[:80])
547 self.ini = self.ini+1
548
549 else:
550 step = (360/(res*tmp_v.shape[0]))
551 # aqui estaba realizando el debug de simulacion
552 # tmp_v=tmp_v +5 en cada step sumaba 5
553 # y el mismo valor despues de la primera vuelta
554 #tmp_v=tmp_v+5+(self.ini-step)*1### aqui yo habia sumado 5 por las puras
555
556 start= tmp_z[0]
557 end = tmp_z[-1]
558 #print("start","end",start,end)
559 ###print(self.buffer_ini_azi[:120])
560
561 if step>=2:
562 if self.flag<step-1:
563 limit_i=self.buf_azi[len(tmp_z)*(self.flag+1)]
564 limit_s=self.buf_azi[len(tmp_z)*(self.flag+2)-1]
565 print("flag",self.flag,limit_i,limit_s)
566 if limit_i< tmp_z[-1]< limit_s:
567 index_i=int(numpy.where(tmp_z<=self.buf_azi[len(tmp_z)*(self.flag+1)])[0][-1])
568 tmp_r =int(numpy.where(self.buf_azi[(self.flag+1)*len(tmp_z):(self.flag+2)*len(tmp_z)]>=tmp_z[-1])[0][0])
569 print("tmp_r",tmp_r)
570 index_f=(self.flag+1)*len(tmp_z)+tmp_r
571
572 if len(tmp_z[index_i:])>len(self.buf_azi[len(tmp_z)*(self.flag+1):index_f]):
573 final = len(self.buf_azi[len(tmp_z)*(self.flag+1):index_f])
574 else:
575 final= len(tmp_z[index_i:])
576 self.buf_azi[len(tmp_z)*(self.flag+1):index_f]=tmp_z[index_i:index_i+final]
577 self.buf_tmp[len(tmp_z)*(self.flag+1):index_f,:]=tmp_v[index_i:index_i+final,:]
578 if limit_i<tmp_z[0]<limit_s:
579 index_f =int(numpy.where(self.buf_azi>=tmp_z[-1])[0][0])
580 n_p =index_f-len(tmp_z)*(self.flag+1)
581 if n_p>0:
582 self.buf_azi[len(tmp_z)*(self.flag+1):index_f]=tmp_z[-1]*numpy.ones(n_p)
583 self.buf_tmp[len(tmp_z)*(self.flag+1):index_f,:]=tmp_v[-1,:]*numpy.ones([n_p,tmp_v.shape[1]])
584
585 '''
586 if self.buf_azi[len(tmp_z)]<tmp_z[-1]<self.buf_azi[2*len(tmp_z)-1]:
587 index_i= int(numpy.where(tmp_z <= self.buf_azi[len(tmp_z)])[0][-1])
588 index_f= int(numpy.where(self.buf_azi>=tmp_z[-1])[0][0])
589 #print("index",index_i,index_f)
590 if len(tmp_z[index_i:])>len(self.buf_azi[len(tmp_z):index_f]):
591 final = len(self.buf_azi[len(tmp_z):index_f])
592 else:
593 final = len(tmp_z[index_i:])
594 self.buf_azi[len(tmp_z):index_f]=tmp_z[index_i:index_i+final]
595 self.buf_tmp[len(tmp_z):index_f,:]=tmp_v[index_i:index_i+final,:]
596 '''
597 self.buf_tmp[len(tmp_z)*(self.flag):len(tmp_z)*(self.flag+1),:]=tmp_v
598 self.buf_azi[len(tmp_z)*(self.flag):len(tmp_z)*(self.flag+1)] = tmp_z
599 self.buffer_ini=self.buf_tmp
600 self.buffer_ini_azi = self.buf_azi
601 ##print("--------salida------------")
602 start= tmp_z[0]
603 end = tmp_z[-1]
604 ##print("start","end",start,end)
605 ##print(self.buffer_ini_azi[:120])
606 self.ini= self.ini+1
607 self.flag = self.flag +1
608 if self.flag==step:
609 self.flag=0
610 numpy.set_printoptions(suppress=True)
611 print("buffer_ini_azi")
612 print(self.buffer_ini_azi[:20])
613 print(self.buffer_ini_azi[-40:])
614 for i,ax in enumerate(self.axes):
615 if ax.firsttime:
616 plt.clf()
617 cgax, pm = wrl.vis.plot_ppi(self.buffer_ini,r=r,az=self.buffer_ini_azi,fig=self.figures[0], proj='cg', vmin=1, vmax=60)
618 else:
619 plt.clf()
620 cgax, pm = wrl.vis.plot_ppi(self.buffer_ini,r=r,az=self.buffer_ini_azi,fig=self.figures[0], proj='cg', vmin=1, vmax=60)
621 caax = cgax.parasites[0]
622 paax = cgax.parasites[1]
623 cbar = plt.gcf().colorbar(pm, pad=0.075)
624 caax.set_xlabel('x_range [km]')
625 caax.set_ylabel('y_range [km]')
626 plt.text(1.0, 1.05, 'azimuth '+str(thisDatetime)+"step"+str(self.ini), transform=caax.transAxes, va='bottom',ha='right')
627 #import time
628 #time.sleep(0.5)
Show file before | Show file after | Hide comments
@@ -400,228 +400,119 class WeatherPlot(Plot):
400 400 data = {}
401 401 meta = {}
402 402 data['weather'] = 10*numpy.log10(dataOut.data_360[0]/(250**2))
403 print(data['weather'])
403 404 data['azi'] = dataOut.data_azi
404
405 print("UPDATE",data['azi'])
405 406 return data, meta
406 407
407 def plot(self):
408 thisDatetime = datetime.datetime.utcfromtimestamp(self.data.times[-1])
409 print("--------------------------------------",self.ini,"-----------------------------------")
410 print("time",self.data.times[-1])
411 data = self.data[-1]
412 #print("debug_0", data)
413 tmp_h = (data['weather'].shape[1])/10.0
414 #print("debug_1",tmp_h)
415 stoprange = float(tmp_h*1.5)#stoprange = float(33*1.5) por ahora 400
416 rangestep = float(0.15)
417 r = numpy.arange(0, stoprange, rangestep)
418 self.y = 2*r
419 print("---------------")
420 tmp_v = data['weather']
421 #print("tmp_v",tmp_v.shape)
422 tmp_z = data['azi']
423 print("tmp_z-------------->",tmp_z)
424 ##if self.ini==0:
425 ## tmp_z= [0,1,2,3,4,5,6,7,8,9]
426
427 #print("tmp_z",tmp_z.shape)
428 res = 1
429 step = (360/(res*tmp_v.shape[0]))
430 #print("step",step)
431 mode = 1
432 if mode==0:
433 #print("self.ini",self.ini)
434 val = numpy.mean(tmp_v[:,0])
435 self.len_azi = len(tmp_z)
436 ones = numpy.ones([(360-tmp_v.shape[0]),tmp_v.shape[1]])*val
437 self.buffer_ini = numpy.vstack((tmp_v,ones))
438
439 n = ((360/res)-len(tmp_z))
440 start = tmp_z[-1]+res
441 end = tmp_z[0]-res
442 if start>end:
443 end = end+360
444 azi_zeros = numpy.linspace(start,end,int(n))
445 azi_zeros = numpy.where(azi_zeros>360,azi_zeros-360,azi_zeros)
446 self.buffer_ini_azi = numpy.hstack((tmp_z,azi_zeros))
447 self.ini = self.ini+1
448
449 if mode==1:
450 #print("################")
451 #print("################")
452 #print("mode",self.ini)
453 #print("self.ini",self.ini)
408 def const_ploteo(self,data_weather,data_azi,step,res):
409 #print("data_weather",data_weather)
410 print("data_azi",data_azi)
411 print("step",step)
454 412 if self.ini==0:
455 res = 1
456 step = (360/(res*tmp_v.shape[0]))
457 val = numpy.mean(tmp_v[:,0])
458 self.len_azi = len(tmp_z)
459 self.buf_tmp = tmp_v
460 ones = numpy.ones([(360-tmp_v.shape[0]),tmp_v.shape[1]])*val
461 self.buffer_ini = numpy.vstack((tmp_v,ones))
462
463 n = ((360/res)-len(tmp_z))
464 start = tmp_z[-1]+res
465 end = tmp_z[0]-res
413 #------- AZIMUTH
414 n = (360/res)-len(data_azi)
415 start = data_azi[-1] + res
416 end = data_azi[0] - res
466 417 if start>end:
467 418 end =end+360
468 azi_zeros = numpy.linspace(start,end,int(n))
469 azi_zeros = numpy.where(azi_zeros>360,azi_zeros-360,azi_zeros)
470 self.buf_azi = tmp_z
471 self.buffer_ini_azi = numpy.hstack((tmp_z,azi_zeros))
472 self.ini = self.ini+1
473 elif 0<self.ini<step:
474 '''
475 if self.ini>31:
476 start= tmp_z[0]
477 end =tmp_z[-1]
478 print("start","end",start,end)
479 if self.ini==32:
480 tmp_v=tmp_v+20
481 if self.ini==33:
482 tmp_v=tmp_v+10
483 if self.ini==34:
484 tmp_v=tmp_v+20
485 if self.ini==35:
486 tmp_v=tmp_v+20
487 '''
488 self.buf_tmp= numpy.vstack((self.buf_tmp,tmp_v))
489 print("ERROR_INMINENTE",self.buf_tmp.shape)
490 if self.buf_tmp.shape[0]==360:
491 print("entre aqui en 360 grados")
492 self.buffer_ini=self.buf_tmp
419 azi_vacia = numpy.linspace(start,end,int(n))
420 azi_vacia = numpy.where(azi_vacia>360,azi_vacia-360,azi_vacia)
421 data_azi = numpy.hstack((data_azi,azi_vacia))
422 # RADAR
423 val_mean = numpy.mean(data_weather[:,0])
424 data_weather_cmp = numpy.ones([(360-data_weather.shape[0]),data_weather.shape[1]])*val_mean
425 data_weather = numpy.vstack((data_weather,data_weather_cmp))
493 426 else:
494 # nuevo#########
495 self.buffer_ini[0:self.buf_tmp.shape[0],:]=self.buf_tmp
496 ################
497 #val=30.0
498 #ones = numpy.ones([(360-self.buf_tmp.shape[0]),self.buf_tmp.shape[1]])*val
499 #self.buffer_ini = numpy.vstack((self.buf_tmp,ones))
500
501 self.buf_azi = numpy.hstack((self.buf_azi,tmp_z))
502 n = ((360/res)-len(self.buf_azi))
503 print("n----->",n)
504 if n==0:
505 self.buffer_ini_azi = self.buf_azi
506 else:
507 start = self.buf_azi[-1]+res
508 end = self.buf_azi[0]-res
427 # azimuth
428 flag=0
429 start_azi = self.res_azi[0]
430 start = data_azi[0]
431 end = data_azi[-1]
509 432 print("start",start)
510 433 print("end",end)
511 if start>end:
434 if start< start_azi:
435 start = start +360
436 if end <start_azi:
512 437 end =end+360
513 azi_zeros = numpy.linspace(start,end,int(n))
514 azi_zeros = numpy.where(azi_zeros>360,azi_zeros-360,azi_zeros)
515 print("self.buf_azi",self.buf_azi[0])
516 print("tmp_Z 0 ",tmp_z[0])
517 print("tmp_Z -1",tmp_z[-1])
518 if tmp_z[0]<self.buf_azi[0] <tmp_z[-1]:
519 print("activando indicador")
520 self.indicador=1
521 if self.indicador==1:
522 azi_zeros = numpy.ones(360-len(self.buf_azi))*(tmp_z[-1]+res)
523 ###start = tmp_z[-1]+res
524 ###end = tmp_z[0]-res
525 ###if start>end:
526 ### end =end+360
527 ###azi_zeros = numpy.linspace(start,end,int(n))
528 ###azi_zeros = numpy.where(azi_zeros>360,azi_zeros-360,azi_zeros)
529 print("azi_zeros",azi_zeros)
530
531 ######self.buffer_ini_azi = numpy.hstack((self.buf_azi,azi_zeros))
532 #self.buffer_ini[0:tmv.shape[0],:]=tmp_v
533 ##self.indicador=0
534
535 # self.indicador = True
536 #if self.indicador==True:
537 # azi_zeros = numpy.ones(360-len(self.buf_azi))*(tmp_z[-1]+res)
538
539 #self.buf_azi = tmp_z
540 self.buffer_ini_azi = numpy.hstack((self.buf_azi,azi_zeros))
541
542 if self.ini==step-1:
543 start= tmp_z[0]
544 end = tmp_z[-1]
545 #print("start","end",start,end)
546 ###print(self.buffer_ini_azi[:80])
547 self.ini = self.ini+1
548 438
439 print("start",start)
440 print("end",end)
441 #### AQUI SERA LA MAGIA
442 pos_ini = int((start-start_azi)/res)
443 len_azi = len(data_azi)
444 if (360-pos_ini)<len_azi:
445 if pos_ini+1==360:
446 pos_ini=0
549 447 else:
550 step = (360/(res*tmp_v.shape[0]))
551 # aqui estaba realizando el debug de simulacion
552 # tmp_v=tmp_v +5 en cada step sumaba 5
553 # y el mismo valor despues de la primera vuelta
554 #tmp_v=tmp_v+5+(self.ini-step)*1### aqui yo habia sumado 5 por las puras
555
556 start= tmp_z[0]
557 end = tmp_z[-1]
558 #print("start","end",start,end)
559 ###print(self.buffer_ini_azi[:120])
560
561 if step>=2:
562 if self.flag<step-1:
563 limit_i=self.buf_azi[len(tmp_z)*(self.flag+1)]
564 limit_s=self.buf_azi[len(tmp_z)*(self.flag+2)-1]
565 print("flag",self.flag,limit_i,limit_s)
566 if limit_i< tmp_z[-1]< limit_s:
567 index_i=int(numpy.where(tmp_z<=self.buf_azi[len(tmp_z)*(self.flag+1)])[0][-1])
568 tmp_r =int(numpy.where(self.buf_azi[(self.flag+1)*len(tmp_z):(self.flag+2)*len(tmp_z)]>=tmp_z[-1])[0][0])
569 print("tmp_r",tmp_r)
570 index_f=(self.flag+1)*len(tmp_z)+tmp_r
571
572 if len(tmp_z[index_i:])>len(self.buf_azi[len(tmp_z)*(self.flag+1):index_f]):
573 final = len(self.buf_azi[len(tmp_z)*(self.flag+1):index_f])
448 flag=1
449 dif= 360-pos_ini
450 comp= len_azi-dif
451
452 print(pos_ini)
453 print(len_azi)
454 print("shape",self.res_azi.shape)
455 if flag==0:
456 # AZIMUTH
457 self.res_azi[pos_ini:pos_ini+len_azi] = data_azi
458 # RADAR
459 self.res_weather[pos_ini:pos_ini+len_azi,:] = data_weather
574 460 else:
575 final= len(tmp_z[index_i:])
576 self.buf_azi[len(tmp_z)*(self.flag+1):index_f]=tmp_z[index_i:index_i+final]
577 self.buf_tmp[len(tmp_z)*(self.flag+1):index_f,:]=tmp_v[index_i:index_i+final,:]
578 if limit_i<tmp_z[0]<limit_s:
579 index_f =int(numpy.where(self.buf_azi>=tmp_z[-1])[0][0])
580 n_p =index_f-len(tmp_z)*(self.flag+1)
581 if n_p>0:
582 self.buf_azi[len(tmp_z)*(self.flag+1):index_f]=tmp_z[-1]*numpy.ones(n_p)
583 self.buf_tmp[len(tmp_z)*(self.flag+1):index_f,:]=tmp_v[-1,:]*numpy.ones([n_p,tmp_v.shape[1]])
461 # AZIMUTH
462 self.res_azi[pos_ini:pos_ini+dif] = data_azi[0:dif]
463 self.res_azi[0:comp] = data_azi[dif:]
464 # RADAR
465 self.res_weather[pos_ini:pos_ini+dif,:] = data_weather[0:dif,:]
466 self.res_weather[0:comp,:] = data_weather[dif:,:]
467 flag=0
468 data_azi = self.res_azi
469 data_weather = self.res_weather
470
471 return data_weather,data_azi
472
473 def plot(self):
474 print("--------------------------------------",self.ini,"-----------------------------------")
475 #numpy.set_printoptions(suppress=True)
476 #print(self.data.times)
477 thisDatetime = datetime.datetime.utcfromtimestamp(self.data.times[-1])
478 data = self.data[-1]
479 # ALTURA altura_tmp_h
480 altura_h = (data['weather'].shape[1])/10.0
481 stoprange = float(altura_h*1.5)#stoprange = float(33*1.5) por ahora 400
482 rangestep = float(0.15)
483 r = numpy.arange(0, stoprange, rangestep)
484 self.y = 2*r
485 # RADAR
486 #data_weather = data['weather']
487 # PEDESTAL
488 #data_azi = data['azi']
489 res = 1
490 # STEP
491 step = (360/(res*data['weather'].shape[0]))
492 #print("shape wr_data", wr_data.shape)
493 #print("shape wr_azi",wr_azi.shape)
494 #print("step",step)
495 print("Time---->",self.data.times[-1],thisDatetime)
496 #print("alturas", len(self.y))
497 self.res_weather, self.res_azi = self.const_ploteo(data_weather=data['weather'],data_azi=data['azi'],step=step,res=res)
498 #numpy.set_printoptions(suppress=True)
499 #print("resultado",self.res_azi)
500 ##########################################################
501 ################# PLOTEO ###################
502 ##########################################################
584 503
585 '''
586 if self.buf_azi[len(tmp_z)]<tmp_z[-1]<self.buf_azi[2*len(tmp_z)-1]:
587 index_i= int(numpy.where(tmp_z <= self.buf_azi[len(tmp_z)])[0][-1])
588 index_f= int(numpy.where(self.buf_azi>=tmp_z[-1])[0][0])
589 #print("index",index_i,index_f)
590 if len(tmp_z[index_i:])>len(self.buf_azi[len(tmp_z):index_f]):
591 final = len(self.buf_azi[len(tmp_z):index_f])
592 else:
593 final = len(tmp_z[index_i:])
594 self.buf_azi[len(tmp_z):index_f]=tmp_z[index_i:index_i+final]
595 self.buf_tmp[len(tmp_z):index_f,:]=tmp_v[index_i:index_i+final,:]
596 '''
597 self.buf_tmp[len(tmp_z)*(self.flag):len(tmp_z)*(self.flag+1),:]=tmp_v
598 self.buf_azi[len(tmp_z)*(self.flag):len(tmp_z)*(self.flag+1)] = tmp_z
599 self.buffer_ini=self.buf_tmp
600 self.buffer_ini_azi = self.buf_azi
601 ##print("--------salida------------")
602 start= tmp_z[0]
603 end = tmp_z[-1]
604 ##print("start","end",start,end)
605 ##print(self.buffer_ini_azi[:120])
606 self.ini= self.ini+1
607 self.flag = self.flag +1
608 if self.flag==step:
609 self.flag=0
610 numpy.set_printoptions(suppress=True)
611 print("buffer_ini_azi")
612 print(self.buffer_ini_azi)
613 504 for i,ax in enumerate(self.axes):
614 505 if ax.firsttime:
615 506 plt.clf()
616 cgax, pm = wrl.vis.plot_ppi(self.buffer_ini,r=r,az=self.buffer_ini_azi,fig=self.figures[0], proj='cg', vmin=1, vmax=60)
507 cgax, pm = wrl.vis.plot_ppi(self.res_weather,r=r,az=self.res_azi,fig=self.figures[0], proj='cg', vmin=1, vmax=60)
617 508 else:
618 509 plt.clf()
619 cgax, pm = wrl.vis.plot_ppi(self.buffer_ini,r=r,az=self.buffer_ini_azi,fig=self.figures[0], proj='cg', vmin=1, vmax=60)
510 cgax, pm = wrl.vis.plot_ppi(self.res_weather,r=r,az=self.res_azi,fig=self.figures[0], proj='cg', vmin=1, vmax=60)
620 511 caax = cgax.parasites[0]
621 512 paax = cgax.parasites[1]
622 513 cbar = plt.gcf().colorbar(pm, pad=0.075)
623 514 caax.set_xlabel('x_range [km]')
624 515 caax.set_ylabel('y_range [km]')
625 516 plt.text(1.0, 1.05, 'azimuth '+str(thisDatetime)+"step"+str(self.ini), transform=caax.transAxes, va='bottom',ha='right')
626 #import time
627 #time.sleep(0.5)
517
518 self.ini= self.ini+1
Show file before | Show file after | Hide comments
@@ -72,14 +72,17 class ProcessingUnit(object):
72 72 else:
73 73 log.error(err, self.name)
74 74 self.dataOut.error = True
75
75 ##### correcion de la declaracion Out
76 76 for op, optype, opkwargs in self.operations:
77 aux = self.dataOut.copy()
77 78 if optype == 'other' and not self.dataOut.flagNoData:
78 79 self.dataOut = op.run(self.dataOut, **opkwargs)
79 80 elif optype == 'external' and not self.dataOut.flagNoData:
80 op.queue.put(self.dataOut)
81 #op.queue.put(self.dataOut)
82 op.queue.put(aux)
81 83 elif optype == 'external' and self.dataOut.error:
82 op.queue.put(self.dataOut)
84 #op.queue.put(self.dataOut)
85 op.queue.put(aux)
83 86
84 87 return 'Error' if self.dataOut.error else self.dataOut.isReady()
85 88
Show file before | Show file after | Hide comments
@@ -4079,8 +4079,16 class PedestalInformation(Operation):
4079 4079
4080 4080 return c-1,utc_ped_list[c-1],utc_ped_list[c]
4081 4081
4082 def verificarNROFILE(self,dataOut,utc_ped,f_a_p,n_Muestras_p):
4083 var =int(f_a_p/n_Muestras_p)
4084 flag=0
4085 for i in range(var):
4086 if dataOut.utctime+i==utc_ped:
4087 flag==1
4088 break
4089 return flag
4082 4090
4083 def setup_offline(self,list_pedestal,list_adq):
4091 def setup_offline(self,dataOut,list_pedestal,list_adq):
4084 4092 print("SETUP OFFLINE")
4085 4093 print(self.path_ped)
4086 4094 print(self.path_adq)
@@ -4095,7 +4103,11 class PedestalInformation(Operation):
4095 4103 print("dios existe donde esta")
4096 4104 #print("utc_ped_list",utc_ped_list)
4097 4105 print("utc_adq",utc_adq)
4098 nro_file,utc_ped,utc_ped_1ss = self.getNROFile(utc_adq=utc_adq, utc_ped_list= utc_ped_list)
4106 # utc_adq_dataOut
4107 utc_adq_dataOut =dataOut.utctime
4108 print("Offline-utc_adq_dataout",utc_adq_dataOut)
4109
4110 nro_file,utc_ped,utc_ped_1 = self.getNROFile(utc_adq=utc_adq, utc_ped_list= utc_ped_list)
4099 4111
4100 4112 print("nro_file",nro_file,"utc_ped",utc_ped)
4101 4113 print("nro_file",i)
@@ -4135,82 +4147,6 class PedestalInformation(Operation):
4135 4147 self.nro_file = nro_file
4136 4148 self.nro_key_p = nro_key_p
4137 4149
4138
4139 '''
4140 print("############################")
4141 utc_adq = dataOut.utctime
4142 print("ONLINE",dataOut.utctime)
4143 print("utc_adq" , utc_adq)
4144 utc_pedestal= self.gettimeutcfromDirFilename(path=self.path_ped,file=self.list_pedestal[0])
4145 print("utc_pedestal", utc_pedestal)
4146 flag_i = 0
4147 flag = 0
4148 ready = 0
4149 if len(self.list_pedestal)!=0:
4150 enable_p=1
4151 if (enable_p!=0):
4152 while(flag_i==0):
4153 if utc_adq>utc_pedestal:
4154 nro_file = int((utc_adq - utc_pedestal)/(self.t_Interval_p*self.n_Muestras_p))
4155 print("nro_file--------------------",nro_file)
4156 print(len(self.list_pedestal))
4157 if nro_file> len(self.list_pedestal):
4158 nro_file = len(self.list_pedestal)-1
4159 ff_pedestal = self.list_pedestal[nro_file]
4160 print(ff_pedestal)
4161 utc_pedestal = self.gettimeutcfromDirFilename(path=self.path_ped,file=ff_pedestal)
4162 while(flag==0):
4163 print("adq",utc_adq)
4164 print("ped",utc_pedestal)
4165 print("nro_file",nro_file)
4166 if utc_adq >utc_pedestal:
4167 print("DENTRO DEL IF-SETUP")
4168 ff_pedestal = self.list_pedestal[nro_file]
4169 if 0<(utc_adq - utc_pedestal)<(self.t_Interval_p*self.n_Muestras_p):
4170 nro_file= nro_file
4171 ff_pedestal = self.list_pedestal[nro_file]
4172 ready = 1
4173 if (utc_adq-utc_pedestal)>(self.t_Interval_p*self.n_Muestras_p):
4174 nro_tmp= int((utc_adq-utc_pedestal)/(self.n_Muestras_p))
4175 nro_file= nro_file+1*nro_tmp#chsssssssssssssssssssasssddasdas/ equear esta condicion
4176 if nro_tmp==0:
4177 nro_file= nro_file +1
4178 ff_pedestal = self.list_pedestal[nro_file]
4179 print("",ff_pedestal)
4180 utc_pedestal = self.gettimeutcfromDirFilename(path=self.path_ped,file=ff_pedestal)
4181 else:
4182 print("DENTRO DEL ELSE-SETUP")
4183 nro_tmp= int((utc_pedestal-utc_adq)/(self.n_Muestras_p))
4184 if utc_pedestal>utc_adq and nro_tmp==0:
4185 nro_tmp= int((utc_pedestal-utc_adq))
4186 print("nro_tmp",nro_tmp)
4187 if nro_file>nro_tmp:
4188 nro_file = nro_file-1*nro_tmp
4189 else:
4190 nro_file =nro_file -1
4191
4192 ff_pedestal = self.list_pedestal[nro_file]
4193 utc_pedestal = self.gettimeutcfromDirFilename(path=self.path_ped,file=ff_pedestal)
4194
4195 if ready:
4196 angulo = self.getDatavaluefromDirFilename(path=self.path_ped,file=ff_pedestal,value="azimuth")
4197 nro_key_p = int((utc_adq-utc_pedestal)/self.t_Interval_p)
4198 print("nro_file :",nro_file)
4199 print("name_file :",ff_pedestal)
4200 print("utc_pedestal_file :",utc_pedestal)
4201 print("nro_key_p :",nro_key_p)
4202 print("utc_pedestal_init :",utc_pedestal+nro_key_p*self.t_Interval_p)
4203 print("angulo_array :",angulo[nro_key_p])
4204 flag=1
4205 flag_i=1
4206 else:
4207 print("La lista de archivos de pedestal o adq esta vacia")
4208 nro_file=None
4209 nro_key_p=None
4210 self.nro_file = nro_file
4211 self.nro_key_p = nro_key_p
4212 '''
4213
4214 4150 def setup(self,dataOut,path_ped,path_adq,t_Interval_p,n_Muestras_p,blocksPerfile,f_a_p,online):
4215 4151 self.__dataReady = False
4216 4152 self.path_ped = path_ped
@@ -4235,18 +4171,18 class PedestalInformation(Operation):
4235 4171 print("Enable Online")
4236 4172 self.setup_online(dataOut)
4237 4173 else:
4238 self.setup_offline(list_pedestal=self.list_pedestal,list_adq=self.list_adq)
4174 self.setup_offline(dataOut,list_pedestal=self.list_pedestal,list_adq=self.list_adq)
4239 4175
4240 4176 def setNextFileP(self,dataOut):
4241 4177 if self.online:
4242 4178 data_pedestal = self.setNextFileonline()
4243 4179 else:
4244 data_pedestal = self.setNextFileoffline()
4180 data_pedestal = self.setNextFileoffline(dataOut)
4245 4181
4246 4182 return data_pedestal
4247 4183
4248 4184
4249 def setNextFileoffline(self):
4185 def setNextFileoffline(self,dataOut):
4250 4186 ##tmp=0
4251 4187 for j in range(self.blocksPerfile):
4252 4188 ###print("NUMERO DEL BLOQUE---->",j)
@@ -4261,6 +4197,13 class PedestalInformation(Operation):
4261 4197 self.nro_file = self.nro_file
4262 4198 else:
4263 4199 self.nro_file = self.nro_file+1
4200 print("PRUEBA-------------")
4201 utc_ped_setnext=self.gettimeutcfromDirFilename(path=self.path_ped,file=self.list_pedestal[self.nro_file])
4202 utc_adq_setnext=dataOut.utctime
4203 print("utc_pedestal",utc_ped_setnext)
4204 print("utc_adq",utc_adq_setnext)
4205
4206
4264 4207 dif = self.blocksPerfile-(self.nro_key_p+self.f_a_p*(self.c_ped-2))
4265 4208 self.c_ped = 1
4266 4209 ##tmp = j
@@ -4274,7 +4217,9 class PedestalInformation(Operation):
4274 4217 #print("tmp",tmp)
4275 4218 try:
4276 4219 ff_pedestal = self.list_pedestal[self.nro_file]
4220 print("ff_pedestal",ff_pedestal)
4277 4221 except:
4222 print("############# EXCEPCION ######################")
4278 4223 return numpy.ones(self.blocksPerfile)*numpy.nan
4279 4224
4280 4225 #angulo = self.getDatavaluefromDirFilename(path=self.path_ped,file=ff_pedestal,value="azimuth")
@@ -4343,6 +4288,7 class PedestalInformation(Operation):
4343 4288
4344 4289 def run(self, dataOut,path_ped,path_adq,t_Interval_p,n_Muestras_p,blocksPerfile,f_a_p,online):
4345 4290 if not self.isConfig:
4291 print("######################SETUP#########################################")
4346 4292 self.setup( dataOut, path_ped,path_adq,t_Interval_p,n_Muestras_p,blocksPerfile,f_a_p,online)
4347 4293 self.isConfig = True
4348 4294
@@ -4352,10 +4298,12 class PedestalInformation(Operation):
4352 4298 if self.__profIndex==0:
4353 4299 angulo_adq = self.setNextFileP(dataOut)
4354 4300 dataOut.azimuth = angulo_adq
4301 print("TIEMPO:",dataOut.utctime)
4355 4302 ##print("####################################################################")
4356 4303 ##print("angulos",dataOut.azimuth,len(dataOut.azimuth))
4357 4304 self.__dataReady = True
4358 4305 self.__profIndex += 1
4306 print("TIEMPO_bucle:",dataOut.utctime)
4359 4307 if self.__profIndex== blocksPerfile:
4360 4308 self.__profIndex = 0
4361 4309 if self.__dataReady:
Show file before | Show file after | Hide comments
@@ -25,8 +25,28 controllerObj.setup(id = '191', name='Test_USRP', description=desc)
25 25 #path = '/media/data/data/vientos/57.2063km/echoes/NCO_Woodman'
26 26 #path = '/DATA_RM/TEST_INTEGRACION'
27 27 #path = '/DATA_RM/TEST_ONLINE'
28 path = '/DATA_RM/TEST_INTEGRACION/ADQ_OFFLINE/'
29 path_pp = '/DATA_RM/TEST_HDF5'
28 #path = '/DATA_RM/TEST_INTEGRACION/ADQ_OFFLINE/'
29 # ULTIMO TEST 22 DE SEPTIEMBRE
30 path = '/DATA_RM/USRP_22'
31 #path_pp = '/DATA_RM/TEST_HDF5'
32 # UTIMO TEST 22 DE SEPTIEMBRE
33 path_pp = '/DATA_RM/TEST_HDF5_PP_22'
34 ######################################################
35 ##### OJO TENER EN CUENTA EL n= para el Pulse Pair ###
36 ######################################################
37 ######## BUSCAMOS EL numero de IPP equivalente 1°#####
38 ######## Sea V la velocidad del Pedestal en °/seg#####
39 ######## 1° sera Recorrido en un tiempo de 1/V ######
40 ######## IPP del Radar 400 useg --> 60 Km ############
41 ######## n = 1/(V*IPP) , NUMERO DE IPP #############
42 ######## n = 1/(V*IPP) #############################
43 V=2
44 IPP=400*1e-6
45 n= 1/(V*IPP)
46 print("n numero de Perfiles a procesar con Pulse Pair: ", n)
47
48
49
30 50
31 51 figpath = '/home/soporte/Pictures/TEST_INTEGRACION_IMG'
32 52 #remotefolder = "/home/wmaster/graficos"
@@ -76,7 +96,7 procUnitConfObjA = controllerObj.addProcUnit(datatype='VoltageProc', inputId=rea
76 96 #opObj11 = procUnitConfObjA.addOperation(name='setRadarFrequency')
77 97 #opObj11.addParameter(name='frequency', value='70312500')
78 98 opObj11 = procUnitConfObjA.addOperation(name='PulsePair', optype='other')
79 opObj11.addParameter(name='n', value='16', format='int')#10 VOY A USAR 250 DADO QUE LA VELOCIDAD ES 10 GRADOS
99 opObj11.addParameter(name='n', value=int(n), format='int')#10 VOY A USAR 250 DADO QUE LA VELOCIDAD ES 10 GRADOS
80 100 opObj11.addParameter(name='removeDC', value=1, format='int')
81 101 # Ploteo TEST
82 102 '''
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@@ -28,11 +28,16 controllerObj.setup(id = '191', name='Test_USRP', description=desc)
28 28 #path_pp = '/DATA_RM/TEST_HDF5'
29 29
30 30 #figpath = '/home/soporte/Pictures/TEST_INTEGRACION_IMG'
31 path = '/DATA_RM/TEST_INTEGRACION/ADQ_OFFLINE/'
32 path_pp = '/DATA_RM/TEST_HDF5_SPEC'
33
34
31 ###path = '/DATA_RM/TEST_INTEGRACION/ADQ_OFFLINE/'
32 ###path_pp = '/DATA_RM/TEST_HDF5_SPEC'
35 33
34 #path = '/DATA_RM/USRP_22'
35 path = '/DATA_RM/23/6v'
36 #path_pp = '/DATA_RM/TEST_HDF5'
37 # UTIMO TEST 22 DE SEPTIEMBRE
38 #path_pp = '/DATA_RM/TEST_HDF5_SPEC_22'
39 #path_pp = '/DATA_RM/TEST_HDF5_SPEC_3v'
40 path_pp = '/DATA_RM/TEST_HDF5_SPEC_23/6v'
36 41
37 42
38 43 #remotefolder = "/home/wmaster/graficos"
@@ -73,11 +78,17 opObj11 = readUnitConfObj.addOperation(name='printInfo')
73 78 ################ OPERACIONES DOMINIO DEL TIEMPO########################
74 79 #######################################################################
75 80
81
82 V=6
83 IPP=400*1e-6
84 n= int(1/(V*IPP))
85 print("n numero de Perfiles a procesar con nFFTPoints ", n)
86
76 87 procUnitConfObjA = controllerObj.addProcUnit(datatype='VoltageProc', inputId=readUnitConfObj.getId())
77 88
78 89 procUnitConfObjB = controllerObj.addProcUnit(datatype='SpectraProc', inputId=procUnitConfObjA.getId())
79 procUnitConfObjB.addParameter(name='nFFTPoints', value=250, format='int')
80 procUnitConfObjB.addParameter(name='nProfiles' , value=250, format='int')
90 procUnitConfObjB.addParameter(name='nFFTPoints', value=n, format='int')
91 procUnitConfObjB.addParameter(name='nProfiles' , value=n, format='int')
81 92
82 93
83 94
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@@ -10,14 +10,21 from schainpy.controller import Project
10 10 #path='/DATA_RM/TEST_HDF5/d2021231'
11 11 #path='/DATA_RM/TEST_HDF5/ADQ_OFFLINE/d2021231'
12 12 path='/DATA_RM/TEST_HDF5/d2021231'
13
13 #path='/DATA_RM/TEST_14_HDF5/d2021257'
14 ## TEST ULTIMA PRUEBA 22 DE SEPTIEMBRE
15 path = '/DATA_RM/TEST_HDF5_PP_22/d2021265'
14 16 path_adq=path
15 17 #path_ped='/DATA_RM/TEST_PEDESTAL/P2021200'
16 18 #path_ped='/DATA_RM/TEST_PEDESTAL/P2021214'
17 19 #path_ped='/DATA_RM/TEST_PEDESTAL/P2021230'
18 20 #path_ped='/DATA_RM/TEST_PEDESTAL/P20210819'
19 21 #path_ped='/DATA_RM/TEST_PEDESTAL/P20210819-154315'
20 path_ped='/DATA_RM/TEST_PEDESTAL/PEDESTAL_OFFLINE/P20210819-161524'
22 #path_ped='/DATA_RM/TEST_PEDESTAL/P20210914-162434'
23 #path_ped='/DATA_RM/TEST_PEDESTAL/PEDESTAL_OFFLINE/P20210819-161524'
24 #pruebas con perdida de datos
25 #path_ped='/DATA_RM/TEST_PEDESTAL/PEDESTAL_OFFLINE/P20210819-161524_TEST'
26 ## TEST ULTIMA PRUEBA 22 DE SEPTIEMBRE
27 path_ped='/DATA_RM/TEST_PEDESTAL/P20210922-122731'
21 28
22 29
23 30 figpath = '/home/soporte/Pictures'
@@ -40,6 +47,10 readUnitConfObj = controllerObj.addReadUnit(datatype='HDFReader',
40 47 nTries=6)#1
41 48
42 49 procUnitConfObjA = controllerObj.addProcUnit(datatype='ParametersProc',inputId=readUnitConfObj.getId())
50 V=2
51 blocksPerfile=100
52 print("Velocidad del Pedestal",V)
53 f_a_p= int(blocksPerfile/V)
43 54
44 55 opObj11 = procUnitConfObjA.addOperation(name='PedestalInformation')
45 56 opObj11.addParameter(name='path_ped', value=path_ped)
@@ -47,7 +58,7 opObj11.addParameter(name='path_adq', value=path_adq)
47 58 opObj11.addParameter(name='t_Interval_p', value='0.01', format='float')
48 59 opObj11.addParameter(name='n_Muestras_p', value='100', format='float')
49 60 opObj11.addParameter(name='blocksPerfile', value='100', format='int')
50 opObj11.addParameter(name='f_a_p', value='10', format='int')
61 opObj11.addParameter(name='f_a_p', value=f_a_p, format='int')
51 62 opObj11.addParameter(name='online', value='0', format='int')# habilitar el enable aqui tambien
52 63
53 64
@@ -56,8 +67,8 opObj11.addParameter(name='n', value='10', format='int')
56 67 # este bloque funciona bien con divisores de 360 no olvidar 0 10 20 30 40 60 90 120 180
57 68
58 69 opObj11= procUnitConfObjA.addOperation(name='WeatherPlot',optype='other')
59 opObj11.addParameter(name='save', value=figpath)
60 opObj11.addParameter(name='save_period', value=1)
70 #opObj11.addParameter(name='save', value=figpath)
71 #opObj11.addParameter(name='save_period', value=1)
61 72
62 73 controllerObj.start()
63 74 #online 1 utc_adq 1617490240.48
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@@ -19,8 +19,8 dBmin = '1'
19 19 dBmax = '85'
20 20 xmin = '0'
21 21 xmax ='24'
22 tmmin = 16.2
23 tmmax = 16.25
22 tmmin = 12.2
23 tmmax = 12.40
24 24 ymin = '0'
25 25 ymax = '600'
26 26 #######################################################################
@@ -32,8 +32,9 ymax = '600'
32 32
33 33 #######################################################################
34 34 #######################################################################
35
36 path='/DATA_RM/TEST_HDF5/d2021231'
35 #path_pp = '/DATA_RM/TEST_HDF5_PP_22'
36 path='/DATA_RM/TEST_HDF5_PP_22/d2021265'
37 #path='/DATA_RM/TEST_HDF5/d2021231'
37 38 figpath = '/home/soporte/Downloads/IMAGE'
38 39 desc = "Simulator Test"
39 40 desc_data = {
Show file before | Show file after | Hide comments
@@ -18,15 +18,18 dBmin = '1'
18 18 dBmax = '65'
19 19 xmin = '0'
20 20 xmax ='24'
21 tmmin = 16.2
22 tmmax = 16.25
21 #tmmin = 16.2
22 #tmmax = 16.25
23 tmmin =15
24 tmmax =15.5
23 25 ymin = '0'
24 26 ymax = '600'
25 27 #######################################################################
26 28 #######################################################################
27 29 #######################################################################
28 path = '/DATA_RM/TEST_HDF5_SPEC'
29 figpath = '/home/soporte/Downloads/IMAGE'
30 #path = '/DATA_RM/TEST_HDF5_SPEC'
31 path = '/DATA_RM/TEST_HDF5_SPEC_23/6v/'
32 figpath = '/home/soporte/Downloads/23/6v'
30 33 desc = "Simulator Test"
31 34 desc_data = {
32 35 'Data': {
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