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En jrodataIO.py se corrige la lectura de channelList desde el archivo FITS. En jroplot, el RTIfromSpectraHeis imprime la leyenda la imprime a partir de channelList
Daniel Valdez -
r446:9dc2730fa268
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1 1 '''
2 2
3 3 $Author: murco $
4 4 $Id: JRODataIO.py 169 2012-11-19 21:57:03Z murco $
5 5 '''
6 6
7 7 import os, sys
8 8 import glob
9 9 import time
10 10 import numpy
11 11 import fnmatch
12 12 import time, datetime
13 13 from xml.etree.ElementTree import Element, SubElement, ElementTree
14 14 try:
15 15 import pyfits
16 16 except:
17 17 print "pyfits module has not been imported, it should be installed to save files in fits format"
18 18
19 19 from jrodata import *
20 20 from jroheaderIO import *
21 21 from jroprocessing import *
22 22
23 23 LOCALTIME = True #-18000
24 24
25 25 def isNumber(str):
26 26 """
27 27 Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero.
28 28
29 29 Excepciones:
30 30 Si un determinado string no puede ser convertido a numero
31 31 Input:
32 32 str, string al cual se le analiza para determinar si convertible a un numero o no
33 33
34 34 Return:
35 35 True : si el string es uno numerico
36 36 False : no es un string numerico
37 37 """
38 38 try:
39 39 float( str )
40 40 return True
41 41 except:
42 42 return False
43 43
44 44 def isThisFileinRange(filename, startUTSeconds, endUTSeconds):
45 45 """
46 46 Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado.
47 47
48 48 Inputs:
49 49 filename : nombre completo del archivo de datos en formato Jicamarca (.r)
50 50
51 51 startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en
52 52 segundos contados desde 01/01/1970.
53 53 endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en
54 54 segundos contados desde 01/01/1970.
55 55
56 56 Return:
57 57 Boolean : Retorna True si el archivo de datos contiene datos en el rango de
58 58 fecha especificado, de lo contrario retorna False.
59 59
60 60 Excepciones:
61 61 Si el archivo no existe o no puede ser abierto
62 62 Si la cabecera no puede ser leida.
63 63
64 64 """
65 65 basicHeaderObj = BasicHeader(LOCALTIME)
66 66
67 67 try:
68 68 fp = open(filename,'rb')
69 69 except:
70 70 raise IOError, "The file %s can't be opened" %(filename)
71 71
72 72 sts = basicHeaderObj.read(fp)
73 73 fp.close()
74 74
75 75 if not(sts):
76 76 print "Skipping the file %s because it has not a valid header" %(filename)
77 77 return 0
78 78
79 79 if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)):
80 80 return 0
81 81
82 82 return 1
83 83
84 84 def isFileinThisTime(filename, startTime, endTime):
85 85 """
86 86 Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado.
87 87
88 88 Inputs:
89 89 filename : nombre completo del archivo de datos en formato Jicamarca (.r)
90 90
91 91 startTime : tiempo inicial del rango seleccionado en formato datetime.time
92 92
93 93 endTime : tiempo final del rango seleccionado en formato datetime.time
94 94
95 95 Return:
96 96 Boolean : Retorna True si el archivo de datos contiene datos en el rango de
97 97 fecha especificado, de lo contrario retorna False.
98 98
99 99 Excepciones:
100 100 Si el archivo no existe o no puede ser abierto
101 101 Si la cabecera no puede ser leida.
102 102
103 103 """
104 104
105 105
106 106 try:
107 107 fp = open(filename,'rb')
108 108 except:
109 109 raise IOError, "The file %s can't be opened" %(filename)
110 110
111 111 basicHeaderObj = BasicHeader(LOCALTIME)
112 112 sts = basicHeaderObj.read(fp)
113 113 fp.close()
114 114
115 115 thisDatetime = basicHeaderObj.datatime
116 116 thisTime = basicHeaderObj.datatime.time()
117 117
118 118 if not(sts):
119 119 print "Skipping the file %s because it has not a valid header" %(filename)
120 120 return None
121 121
122 122 if not ((startTime <= thisTime) and (endTime > thisTime)):
123 123 return None
124 124
125 125 return thisDatetime
126 126
127 127 def getFileFromSet(path,ext,set):
128 128 validFilelist = []
129 129 fileList = os.listdir(path)
130 130
131 131 # 0 1234 567 89A BCDE
132 132 # H YYYY DDD SSS .ext
133 133
134 134 for file in fileList:
135 135 try:
136 136 year = int(file[1:5])
137 137 doy = int(file[5:8])
138 138
139 139
140 140 except:
141 141 continue
142 142
143 143 if (os.path.splitext(file)[-1].lower() != ext.lower()):
144 144 continue
145 145
146 146 validFilelist.append(file)
147 147
148 148 myfile = fnmatch.filter(validFilelist,'*%4.4d%3.3d%3.3d*'%(year,doy,set))
149 149
150 150 if len(myfile)!= 0:
151 151 return myfile[0]
152 152 else:
153 153 filename = '*%4.4d%3.3d%3.3d%s'%(year,doy,set,ext.lower())
154 154 print 'the filename %s does not exist'%filename
155 155 print '...going to the last file: '
156 156
157 157 if validFilelist:
158 158 validFilelist = sorted( validFilelist, key=str.lower )
159 159 return validFilelist[-1]
160 160
161 161 return None
162 162
163 163
164 164 def getlastFileFromPath(path, ext):
165 165 """
166 166 Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext"
167 167 al final de la depuracion devuelve el ultimo file de la lista que quedo.
168 168
169 169 Input:
170 170 fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta
171 171 ext : extension de los files contenidos en una carpeta
172 172
173 173 Return:
174 174 El ultimo file de una determinada carpeta, no se considera el path.
175 175 """
176 176 validFilelist = []
177 177 fileList = os.listdir(path)
178 178
179 179 # 0 1234 567 89A BCDE
180 180 # H YYYY DDD SSS .ext
181 181
182 182 for file in fileList:
183 183 try:
184 184 year = int(file[1:5])
185 185 doy = int(file[5:8])
186 186
187 187
188 188 except:
189 189 continue
190 190
191 191 if (os.path.splitext(file)[-1].lower() != ext.lower()):
192 192 continue
193 193
194 194 validFilelist.append(file)
195 195
196 196 if validFilelist:
197 197 validFilelist = sorted( validFilelist, key=str.lower )
198 198 return validFilelist[-1]
199 199
200 200 return None
201 201
202 202 def checkForRealPath(path, foldercounter, year, doy, set, ext):
203 203 """
204 204 Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path,
205 205 Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar
206 206 el path exacto de un determinado file.
207 207
208 208 Example :
209 209 nombre correcto del file es .../.../D2009307/P2009307367.ext
210 210
211 211 Entonces la funcion prueba con las siguientes combinaciones
212 212 .../.../y2009307367.ext
213 213 .../.../Y2009307367.ext
214 214 .../.../x2009307/y2009307367.ext
215 215 .../.../x2009307/Y2009307367.ext
216 216 .../.../X2009307/y2009307367.ext
217 217 .../.../X2009307/Y2009307367.ext
218 218 siendo para este caso, la ultima combinacion de letras, identica al file buscado
219 219
220 220 Return:
221 221 Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file
222 222 caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas
223 223 para el filename
224 224 """
225 225 fullfilename = None
226 226 find_flag = False
227 227 filename = None
228 228
229 229 prefixDirList = [None,'d','D']
230 230 if ext.lower() == ".r": #voltage
231 231 prefixFileList = ['d','D']
232 232 elif ext.lower() == ".pdata": #spectra
233 233 prefixFileList = ['p','P']
234 234 else:
235 235 return None, filename
236 236
237 237 #barrido por las combinaciones posibles
238 238 for prefixDir in prefixDirList:
239 239 thispath = path
240 240 if prefixDir != None:
241 241 #formo el nombre del directorio xYYYYDDD (x=d o x=D)
242 242 if foldercounter == 0:
243 243 thispath = os.path.join(path, "%s%04d%03d" % ( prefixDir, year, doy ))
244 244 else:
245 245 thispath = os.path.join(path, "%s%04d%03d_%02d" % ( prefixDir, year, doy , foldercounter))
246 246 for prefixFile in prefixFileList: #barrido por las dos combinaciones posibles de "D"
247 247 filename = "%s%04d%03d%03d%s" % ( prefixFile, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext
248 248 fullfilename = os.path.join( thispath, filename ) #formo el path completo
249 249
250 250 if os.path.exists( fullfilename ): #verifico que exista
251 251 find_flag = True
252 252 break
253 253 if find_flag:
254 254 break
255 255
256 256 if not(find_flag):
257 257 return None, filename
258 258
259 259 return fullfilename, filename
260 260
261 261 def isDoyFolder(folder):
262 262 try:
263 263 year = int(folder[1:5])
264 264 except:
265 265 return 0
266 266
267 267 try:
268 268 doy = int(folder[5:8])
269 269 except:
270 270 return 0
271 271
272 272 return 1
273 273
274 274 class JRODataIO:
275 275
276 276 c = 3E8
277 277
278 278 isConfig = False
279 279
280 280 basicHeaderObj = BasicHeader(LOCALTIME)
281 281
282 282 systemHeaderObj = SystemHeader()
283 283
284 284 radarControllerHeaderObj = RadarControllerHeader()
285 285
286 286 processingHeaderObj = ProcessingHeader()
287 287
288 288 online = 0
289 289
290 290 dtype = None
291 291
292 292 pathList = []
293 293
294 294 filenameList = []
295 295
296 296 filename = None
297 297
298 298 ext = None
299 299
300 300 flagIsNewFile = 1
301 301
302 302 flagTimeBlock = 0
303 303
304 304 flagIsNewBlock = 0
305 305
306 306 fp = None
307 307
308 308 firstHeaderSize = 0
309 309
310 310 basicHeaderSize = 24
311 311
312 312 versionFile = 1103
313 313
314 314 fileSize = None
315 315
316 316 ippSeconds = None
317 317
318 318 fileSizeByHeader = None
319 319
320 320 fileIndex = None
321 321
322 322 profileIndex = None
323 323
324 324 blockIndex = None
325 325
326 326 nTotalBlocks = None
327 327
328 328 maxTimeStep = 30
329 329
330 330 lastUTTime = None
331 331
332 332 datablock = None
333 333
334 334 dataOut = None
335 335
336 336 blocksize = None
337 337
338 338 def __init__(self):
339 339
340 340 raise ValueError, "Not implemented"
341 341
342 342 def run(self):
343 343
344 344 raise ValueError, "Not implemented"
345 345
346 346 def getOutput(self):
347 347
348 348 return self.dataOut
349 349
350 350 class JRODataReader(JRODataIO, ProcessingUnit):
351 351
352 352 nReadBlocks = 0
353 353
354 354 delay = 10 #number of seconds waiting a new file
355 355
356 356 nTries = 3 #quantity tries
357 357
358 358 nFiles = 3 #number of files for searching
359 359
360 360 path = None
361 361
362 362 foldercounter = 0
363 363
364 364 flagNoMoreFiles = 0
365 365
366 366 datetimeList = []
367 367
368 368 __isFirstTimeOnline = 1
369 369
370 370 __printInfo = True
371 371
372 372 profileIndex = None
373 373
374 374 def __init__(self):
375 375
376 376 """
377 377
378 378 """
379 379
380 380 raise ValueError, "This method has not been implemented"
381 381
382 382
383 383 def createObjByDefault(self):
384 384 """
385 385
386 386 """
387 387 raise ValueError, "This method has not been implemented"
388 388
389 389 def getBlockDimension(self):
390 390
391 391 raise ValueError, "No implemented"
392 392
393 393 def __searchFilesOffLine(self,
394 394 path,
395 395 startDate,
396 396 endDate,
397 397 startTime=datetime.time(0,0,0),
398 398 endTime=datetime.time(23,59,59),
399 399 set=None,
400 400 expLabel='',
401 401 ext='.r',
402 402 walk=True):
403 403
404 404 pathList = []
405 405
406 406 if not walk:
407 407 pathList.append(path)
408 408
409 409 else:
410 410 dirList = []
411 411 for thisPath in os.listdir(path):
412 412 if not os.path.isdir(os.path.join(path,thisPath)):
413 413 continue
414 414 if not isDoyFolder(thisPath):
415 415 continue
416 416
417 417 dirList.append(thisPath)
418 418
419 419 if not(dirList):
420 420 return None, None
421 421
422 422 thisDate = startDate
423 423
424 424 while(thisDate <= endDate):
425 425 year = thisDate.timetuple().tm_year
426 426 doy = thisDate.timetuple().tm_yday
427 427
428 428 matchlist = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy) + '*')
429 429 if len(matchlist) == 0:
430 430 thisDate += datetime.timedelta(1)
431 431 continue
432 432 for match in matchlist:
433 433 pathList.append(os.path.join(path,match,expLabel))
434 434
435 435 thisDate += datetime.timedelta(1)
436 436
437 437 if pathList == []:
438 438 print "Any folder was found for the date range: %s-%s" %(startDate, endDate)
439 439 return None, None
440 440
441 441 print "%d folder(s) was(were) found for the date range: %s - %s" %(len(pathList), startDate, endDate)
442 442
443 443 filenameList = []
444 444 datetimeList = []
445 445
446 446 for i in range(len(pathList)):
447 447
448 448 thisPath = pathList[i]
449 449
450 450 fileList = glob.glob1(thisPath, "*%s" %ext)
451 451 fileList.sort()
452 452
453 453 for file in fileList:
454 454
455 455 filename = os.path.join(thisPath,file)
456 456 thisDatetime = isFileinThisTime(filename, startTime, endTime)
457 457
458 458 if not(thisDatetime):
459 459 continue
460 460
461 461 filenameList.append(filename)
462 462 datetimeList.append(thisDatetime)
463 463
464 464 if not(filenameList):
465 465 print "Any file was found for the time range %s - %s" %(startTime, endTime)
466 466 return None, None
467 467
468 468 print "%d file(s) was(were) found for the time range: %s - %s" %(len(filenameList), startTime, endTime)
469 469 print
470 470
471 471 for i in range(len(filenameList)):
472 472 print "%s -> [%s]" %(filenameList[i], datetimeList[i].ctime())
473 473
474 474 self.filenameList = filenameList
475 475 self.datetimeList = datetimeList
476 476
477 477 return pathList, filenameList
478 478
479 479 def __searchFilesOnLine(self, path, expLabel = "", ext = None, walk=True, set=None):
480 480
481 481 """
482 482 Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y
483 483 devuelve el archivo encontrado ademas de otros datos.
484 484
485 485 Input:
486 486 path : carpeta donde estan contenidos los files que contiene data
487 487
488 488 expLabel : Nombre del subexperimento (subfolder)
489 489
490 490 ext : extension de los files
491 491
492 492 walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath)
493 493
494 494 Return:
495 495 directory : eL directorio donde esta el file encontrado
496 496 filename : el ultimo file de una determinada carpeta
497 497 year : el anho
498 498 doy : el numero de dia del anho
499 499 set : el set del archivo
500 500
501 501
502 502 """
503 503 dirList = []
504 504
505 505 if not walk:
506 506 fullpath = path
507 507 foldercounter = 0
508 508 else:
509 509 #Filtra solo los directorios
510 510 for thisPath in os.listdir(path):
511 511 if not os.path.isdir(os.path.join(path,thisPath)):
512 512 continue
513 513 if not isDoyFolder(thisPath):
514 514 continue
515 515
516 516 dirList.append(thisPath)
517 517
518 518 if not(dirList):
519 519 return None, None, None, None, None, None
520 520
521 521 dirList = sorted( dirList, key=str.lower )
522 522
523 523 doypath = dirList[-1]
524 524 foldercounter = int(doypath.split('_')[1]) if len(doypath.split('_'))>1 else 0
525 525 fullpath = os.path.join(path, doypath, expLabel)
526 526
527 527
528 528 print "%s folder was found: " %(fullpath )
529 529
530 530 if set == None:
531 531 filename = getlastFileFromPath(fullpath, ext)
532 532 else:
533 533 filename = getFileFromSet(fullpath, ext, set)
534 534
535 535 if not(filename):
536 536 return None, None, None, None, None, None
537 537
538 538 print "%s file was found" %(filename)
539 539
540 540 if not(self.__verifyFile(os.path.join(fullpath, filename))):
541 541 return None, None, None, None, None, None
542 542
543 543 year = int( filename[1:5] )
544 544 doy = int( filename[5:8] )
545 545 set = int( filename[8:11] )
546 546
547 547 return fullpath, foldercounter, filename, year, doy, set
548 548
549 549 def __setNextFileOffline(self):
550 550
551 551 idFile = self.fileIndex
552 552
553 553 while (True):
554 554 idFile += 1
555 555 if not(idFile < len(self.filenameList)):
556 556 self.flagNoMoreFiles = 1
557 557 print "No more Files"
558 558 return 0
559 559
560 560 filename = self.filenameList[idFile]
561 561
562 562 if not(self.__verifyFile(filename)):
563 563 continue
564 564
565 565 fileSize = os.path.getsize(filename)
566 566 fp = open(filename,'rb')
567 567 break
568 568
569 569 self.flagIsNewFile = 1
570 570 self.fileIndex = idFile
571 571 self.filename = filename
572 572 self.fileSize = fileSize
573 573 self.fp = fp
574 574
575 575 print "Setting the file: %s"%self.filename
576 576
577 577 return 1
578 578
579 579 def __setNextFileOnline(self):
580 580 """
581 581 Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si
582 582 no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files
583 583 siguientes.
584 584
585 585 Affected:
586 586 self.flagIsNewFile
587 587 self.filename
588 588 self.fileSize
589 589 self.fp
590 590 self.set
591 591 self.flagNoMoreFiles
592 592
593 593 Return:
594 594 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado
595 595 1 : si el file fue abierto con exito y esta listo a ser leido
596 596
597 597 Excepciones:
598 598 Si un determinado file no puede ser abierto
599 599 """
600 600 nFiles = 0
601 601 fileOk_flag = False
602 602 firstTime_flag = True
603 603
604 604 self.set += 1
605 605
606 606 if self.set > 999:
607 607 self.set = 0
608 608 self.foldercounter += 1
609 609
610 610 #busca el 1er file disponible
611 611 fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext )
612 612 if fullfilename:
613 613 if self.__verifyFile(fullfilename, False):
614 614 fileOk_flag = True
615 615
616 616 #si no encuentra un file entonces espera y vuelve a buscar
617 617 if not(fileOk_flag):
618 618 for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles
619 619
620 620 if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces
621 621 tries = self.nTries
622 622 else:
623 623 tries = 1 #si no es la 1era vez entonces solo lo hace una vez
624 624
625 625 for nTries in range( tries ):
626 626 if firstTime_flag:
627 627 print "\tWaiting %0.2f sec for the file \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 )
628 628 time.sleep( self.delay )
629 629 else:
630 630 print "\tSearching next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext)
631 631
632 632 fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext )
633 633 if fullfilename:
634 634 if self.__verifyFile(fullfilename):
635 635 fileOk_flag = True
636 636 break
637 637
638 638 if fileOk_flag:
639 639 break
640 640
641 641 firstTime_flag = False
642 642
643 643 print "\tSkipping the file \"%s\" due to this file doesn't exist" % filename
644 644 self.set += 1
645 645
646 646 if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta
647 647 self.set = 0
648 648 self.doy += 1
649 649 self.foldercounter = 0
650 650
651 651 if fileOk_flag:
652 652 self.fileSize = os.path.getsize( fullfilename )
653 653 self.filename = fullfilename
654 654 self.flagIsNewFile = 1
655 655 if self.fp != None: self.fp.close()
656 656 self.fp = open(fullfilename, 'rb')
657 657 self.flagNoMoreFiles = 0
658 658 print 'Setting the file: %s' % fullfilename
659 659 else:
660 660 self.fileSize = 0
661 661 self.filename = None
662 662 self.flagIsNewFile = 0
663 663 self.fp = None
664 664 self.flagNoMoreFiles = 1
665 665 print 'No more Files'
666 666
667 667 return fileOk_flag
668 668
669 669
670 670 def setNextFile(self):
671 671 if self.fp != None:
672 672 self.fp.close()
673 673
674 674 if self.online:
675 675 newFile = self.__setNextFileOnline()
676 676 else:
677 677 newFile = self.__setNextFileOffline()
678 678
679 679 if not(newFile):
680 680 return 0
681 681
682 682 self.__readFirstHeader()
683 683 self.nReadBlocks = 0
684 684 return 1
685 685
686 686 def __waitNewBlock(self):
687 687 """
688 688 Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma.
689 689
690 690 Si el modo de lectura es OffLine siempre retorn 0
691 691 """
692 692 if not self.online:
693 693 return 0
694 694
695 695 if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile):
696 696 return 0
697 697
698 698 currentPointer = self.fp.tell()
699 699
700 700 neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize
701 701
702 702 for nTries in range( self.nTries ):
703 703
704 704 self.fp.close()
705 705 self.fp = open( self.filename, 'rb' )
706 706 self.fp.seek( currentPointer )
707 707
708 708 self.fileSize = os.path.getsize( self.filename )
709 709 currentSize = self.fileSize - currentPointer
710 710
711 711 if ( currentSize >= neededSize ):
712 712 self.__rdBasicHeader()
713 713 return 1
714 714
715 715 if self.fileSize == self.fileSizeByHeader:
716 716 # self.flagEoF = True
717 717 return 0
718 718
719 719 print "\tWaiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1)
720 720 time.sleep( self.delay )
721 721
722 722
723 723 return 0
724 724
725 725 def waitDataBlock(self,pointer_location):
726 726
727 727 currentPointer = pointer_location
728 728
729 729 neededSize = self.processingHeaderObj.blockSize #+ self.basicHeaderSize
730 730
731 731 for nTries in range( self.nTries ):
732 732 self.fp.close()
733 733 self.fp = open( self.filename, 'rb' )
734 734 self.fp.seek( currentPointer )
735 735
736 736 self.fileSize = os.path.getsize( self.filename )
737 737 currentSize = self.fileSize - currentPointer
738 738
739 739 if ( currentSize >= neededSize ):
740 740 return 1
741 741
742 742 print "\tWaiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1)
743 743 time.sleep( self.delay )
744 744
745 745 return 0
746 746
747 747
748 748 def __jumpToLastBlock(self):
749 749
750 750 if not(self.__isFirstTimeOnline):
751 751 return
752 752
753 753 csize = self.fileSize - self.fp.tell()
754 754 blocksize = self.processingHeaderObj.blockSize
755 755
756 756 #salta el primer bloque de datos
757 757 if csize > self.processingHeaderObj.blockSize:
758 758 self.fp.seek(self.fp.tell() + blocksize)
759 759 else:
760 760 return
761 761
762 762 csize = self.fileSize - self.fp.tell()
763 763 neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize
764 764 while True:
765 765
766 766 if self.fp.tell()<self.fileSize:
767 767 self.fp.seek(self.fp.tell() + neededsize)
768 768 else:
769 769 self.fp.seek(self.fp.tell() - neededsize)
770 770 break
771 771
772 772 # csize = self.fileSize - self.fp.tell()
773 773 # neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize
774 774 # factor = int(csize/neededsize)
775 775 # if factor > 0:
776 776 # self.fp.seek(self.fp.tell() + factor*neededsize)
777 777
778 778 self.flagIsNewFile = 0
779 779 self.__isFirstTimeOnline = 0
780 780
781 781
782 782 def __setNewBlock(self):
783 783
784 784 if self.fp == None:
785 785 return 0
786 786
787 787 if self.online:
788 788 self.__jumpToLastBlock()
789 789
790 790 if self.flagIsNewFile:
791 791 return 1
792 792
793 793 self.lastUTTime = self.basicHeaderObj.utc
794 794 currentSize = self.fileSize - self.fp.tell()
795 795 neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize
796 796
797 797 if (currentSize >= neededSize):
798 798 self.__rdBasicHeader()
799 799 return 1
800 800
801 801 if self.__waitNewBlock():
802 802 return 1
803 803
804 804 if not(self.setNextFile()):
805 805 return 0
806 806
807 807 deltaTime = self.basicHeaderObj.utc - self.lastUTTime #
808 808
809 809 self.flagTimeBlock = 0
810 810
811 811 if deltaTime > self.maxTimeStep:
812 812 self.flagTimeBlock = 1
813 813
814 814 return 1
815 815
816 816
817 817 def readNextBlock(self):
818 818 if not(self.__setNewBlock()):
819 819 return 0
820 820
821 821 if not(self.readBlock()):
822 822 return 0
823 823
824 824 return 1
825 825
826 826 def __rdProcessingHeader(self, fp=None):
827 827 if fp == None:
828 828 fp = self.fp
829 829
830 830 self.processingHeaderObj.read(fp)
831 831
832 832 def __rdRadarControllerHeader(self, fp=None):
833 833 if fp == None:
834 834 fp = self.fp
835 835
836 836 self.radarControllerHeaderObj.read(fp)
837 837
838 838 def __rdSystemHeader(self, fp=None):
839 839 if fp == None:
840 840 fp = self.fp
841 841
842 842 self.systemHeaderObj.read(fp)
843 843
844 844 def __rdBasicHeader(self, fp=None):
845 845 if fp == None:
846 846 fp = self.fp
847 847
848 848 self.basicHeaderObj.read(fp)
849 849
850 850
851 851 def __readFirstHeader(self):
852 852 self.__rdBasicHeader()
853 853 self.__rdSystemHeader()
854 854 self.__rdRadarControllerHeader()
855 855 self.__rdProcessingHeader()
856 856
857 857 self.firstHeaderSize = self.basicHeaderObj.size
858 858
859 859 datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR))
860 860 if datatype == 0:
861 861 datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')])
862 862 elif datatype == 1:
863 863 datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')])
864 864 elif datatype == 2:
865 865 datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')])
866 866 elif datatype == 3:
867 867 datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')])
868 868 elif datatype == 4:
869 869 datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')])
870 870 elif datatype == 5:
871 871 datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')])
872 872 else:
873 873 raise ValueError, 'Data type was not defined'
874 874
875 875 self.dtype = datatype_str
876 876 self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c
877 877 self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1)
878 878 # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels)
879 879 # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels)
880 880 self.getBlockDimension()
881 881
882 882
883 883 def __verifyFile(self, filename, msgFlag=True):
884 884 msg = None
885 885 try:
886 886 fp = open(filename, 'rb')
887 887 currentPosition = fp.tell()
888 888 except:
889 889 if msgFlag:
890 890 print "The file %s can't be opened" % (filename)
891 891 return False
892 892
893 893 neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize
894 894
895 895 if neededSize == 0:
896 896 basicHeaderObj = BasicHeader(LOCALTIME)
897 897 systemHeaderObj = SystemHeader()
898 898 radarControllerHeaderObj = RadarControllerHeader()
899 899 processingHeaderObj = ProcessingHeader()
900 900
901 901 try:
902 902 if not( basicHeaderObj.read(fp) ): raise IOError
903 903 if not( systemHeaderObj.read(fp) ): raise IOError
904 904 if not( radarControllerHeaderObj.read(fp) ): raise IOError
905 905 if not( processingHeaderObj.read(fp) ): raise IOError
906 906 data_type = int(numpy.log2((processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR))
907 907
908 908 neededSize = processingHeaderObj.blockSize + basicHeaderObj.size
909 909
910 910 except:
911 911 if msgFlag:
912 912 print "\tThe file %s is empty or it hasn't enough data" % filename
913 913
914 914 fp.close()
915 915 return False
916 916 else:
917 917 msg = "\tSkipping the file %s due to it hasn't enough data" %filename
918 918
919 919 fp.close()
920 920 fileSize = os.path.getsize(filename)
921 921 currentSize = fileSize - currentPosition
922 922 if currentSize < neededSize:
923 923 if msgFlag and (msg != None):
924 924 print msg #print"\tSkipping the file %s due to it hasn't enough data" %filename
925 925 return False
926 926
927 927 return True
928 928
929 929 def setup(self,
930 930 path=None,
931 931 startDate=None,
932 932 endDate=None,
933 933 startTime=datetime.time(0,0,0),
934 934 endTime=datetime.time(23,59,59),
935 935 set=None,
936 936 expLabel = "",
937 937 ext = None,
938 938 online = False,
939 939 delay = 60,
940 940 walk = True):
941 941
942 942 if path == None:
943 943 raise ValueError, "The path is not valid"
944 944
945 945 if ext == None:
946 946 ext = self.ext
947 947
948 948 if online:
949 949 print "Searching files in online mode..."
950 950
951 951 for nTries in range( self.nTries ):
952 952 fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext, walk=walk, set=set)
953 953
954 954 if fullpath:
955 955 break
956 956
957 957 print '\tWaiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1)
958 958 time.sleep( self.delay )
959 959
960 960 if not(fullpath):
961 961 print "There 'isn't valied files in %s" % path
962 962 return None
963 963
964 964 self.year = year
965 965 self.doy = doy
966 966 self.set = set - 1
967 967 self.path = path
968 968 self.foldercounter = foldercounter
969 969
970 970 else:
971 971 print "Searching files in offline mode ..."
972 972 pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate,
973 973 startTime=startTime, endTime=endTime,
974 974 set=set, expLabel=expLabel, ext=ext,
975 975 walk=walk)
976 976
977 977 if not(pathList):
978 978 print "No *%s files into the folder %s \nfor the range: %s - %s"%(ext, path,
979 979 datetime.datetime.combine(startDate,startTime).ctime(),
980 980 datetime.datetime.combine(endDate,endTime).ctime())
981 981
982 982 sys.exit(-1)
983 983
984 984
985 985 self.fileIndex = -1
986 986 self.pathList = pathList
987 987 self.filenameList = filenameList
988 988
989 989 self.online = online
990 990 self.delay = delay
991 991 ext = ext.lower()
992 992 self.ext = ext
993 993
994 994 if not(self.setNextFile()):
995 995 if (startDate!=None) and (endDate!=None):
996 996 print "No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime())
997 997 elif startDate != None:
998 998 print "No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime())
999 999 else:
1000 1000 print "No files"
1001 1001
1002 1002 sys.exit(-1)
1003 1003
1004 1004 # self.updateDataHeader()
1005 1005
1006 1006 return self.dataOut
1007 1007
1008 1008 def getBasicHeader(self):
1009 1009
1010 1010 self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.ippSeconds
1011 1011
1012 1012 self.dataOut.flagTimeBlock = self.flagTimeBlock
1013 1013
1014 1014 self.dataOut.timeZone = self.basicHeaderObj.timeZone
1015 1015
1016 1016 self.dataOut.dstFlag = self.basicHeaderObj.dstFlag
1017 1017
1018 1018 self.dataOut.errorCount = self.basicHeaderObj.errorCount
1019 1019
1020 1020 self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime
1021 1021
1022 1022 def getFirstHeader(self):
1023 1023
1024 1024 raise ValueError, "This method has not been implemented"
1025 1025
1026 1026 def getData():
1027 1027
1028 1028 raise ValueError, "This method has not been implemented"
1029 1029
1030 1030 def hasNotDataInBuffer():
1031 1031
1032 1032 raise ValueError, "This method has not been implemented"
1033 1033
1034 1034 def readBlock():
1035 1035
1036 1036 raise ValueError, "This method has not been implemented"
1037 1037
1038 1038 def isEndProcess(self):
1039 1039
1040 1040 return self.flagNoMoreFiles
1041 1041
1042 1042 def printReadBlocks(self):
1043 1043
1044 1044 print "Number of read blocks per file %04d" %self.nReadBlocks
1045 1045
1046 1046 def printTotalBlocks(self):
1047 1047
1048 1048 print "Number of read blocks %04d" %self.nTotalBlocks
1049 1049
1050 1050 def printNumberOfBlock(self):
1051 1051
1052 1052 if self.flagIsNewBlock:
1053 1053 print "Block No. %04d, Total blocks %04d -> %s" %(self.basicHeaderObj.dataBlock, self.nTotalBlocks, self.dataOut.datatime.ctime())
1054 1054
1055 1055 def printInfo(self):
1056 1056
1057 1057 if self.__printInfo == False:
1058 1058 return
1059 1059
1060 1060 self.basicHeaderObj.printInfo()
1061 1061 self.systemHeaderObj.printInfo()
1062 1062 self.radarControllerHeaderObj.printInfo()
1063 1063 self.processingHeaderObj.printInfo()
1064 1064
1065 1065 self.__printInfo = False
1066 1066
1067 1067
1068 1068 def run(self, **kwargs):
1069 1069
1070 1070 if not(self.isConfig):
1071 1071
1072 1072 # self.dataOut = dataOut
1073 1073 self.setup(**kwargs)
1074 1074 self.isConfig = True
1075 1075
1076 1076 self.getData()
1077 1077
1078 1078 class JRODataWriter(JRODataIO, Operation):
1079 1079
1080 1080 """
1081 1081 Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura
1082 1082 de los datos siempre se realiza por bloques.
1083 1083 """
1084 1084
1085 1085 blockIndex = 0
1086 1086
1087 1087 path = None
1088 1088
1089 1089 setFile = None
1090 1090
1091 1091 profilesPerBlock = None
1092 1092
1093 1093 blocksPerFile = None
1094 1094
1095 1095 nWriteBlocks = 0
1096 1096
1097 1097 def __init__(self, dataOut=None):
1098 1098 raise ValueError, "Not implemented"
1099 1099
1100 1100
1101 1101 def hasAllDataInBuffer(self):
1102 1102 raise ValueError, "Not implemented"
1103 1103
1104 1104
1105 1105 def setBlockDimension(self):
1106 1106 raise ValueError, "Not implemented"
1107 1107
1108 1108
1109 1109 def writeBlock(self):
1110 1110 raise ValueError, "No implemented"
1111 1111
1112 1112
1113 1113 def putData(self):
1114 1114 raise ValueError, "No implemented"
1115 1115
1116 1116
1117 1117 def setBasicHeader(self):
1118 1118
1119 1119 self.basicHeaderObj.size = self.basicHeaderSize #bytes
1120 1120 self.basicHeaderObj.version = self.versionFile
1121 1121 self.basicHeaderObj.dataBlock = self.nTotalBlocks
1122 1122
1123 1123 utc = numpy.floor(self.dataOut.utctime)
1124 1124 milisecond = (self.dataOut.utctime - utc)* 1000.0
1125 1125
1126 1126 self.basicHeaderObj.utc = utc
1127 1127 self.basicHeaderObj.miliSecond = milisecond
1128 1128 self.basicHeaderObj.timeZone = self.dataOut.timeZone
1129 1129 self.basicHeaderObj.dstFlag = self.dataOut.dstFlag
1130 1130 self.basicHeaderObj.errorCount = self.dataOut.errorCount
1131 1131
1132 1132 def setFirstHeader(self):
1133 1133 """
1134 1134 Obtiene una copia del First Header
1135 1135
1136 1136 Affected:
1137 1137
1138 1138 self.basicHeaderObj
1139 1139 self.systemHeaderObj
1140 1140 self.radarControllerHeaderObj
1141 1141 self.processingHeaderObj self.
1142 1142
1143 1143 Return:
1144 1144 None
1145 1145 """
1146 1146
1147 1147 raise ValueError, "No implemented"
1148 1148
1149 1149 def __writeFirstHeader(self):
1150 1150 """
1151 1151 Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader)
1152 1152
1153 1153 Affected:
1154 1154 __dataType
1155 1155
1156 1156 Return:
1157 1157 None
1158 1158 """
1159 1159
1160 1160 # CALCULAR PARAMETROS
1161 1161
1162 1162 sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size
1163 1163 self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader
1164 1164
1165 1165 self.basicHeaderObj.write(self.fp)
1166 1166 self.systemHeaderObj.write(self.fp)
1167 1167 self.radarControllerHeaderObj.write(self.fp)
1168 1168 self.processingHeaderObj.write(self.fp)
1169 1169
1170 1170 self.dtype = self.dataOut.dtype
1171 1171
1172 1172 def __setNewBlock(self):
1173 1173 """
1174 1174 Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header
1175 1175
1176 1176 Return:
1177 1177 0 : si no pudo escribir nada
1178 1178 1 : Si escribio el Basic el First Header
1179 1179 """
1180 1180 if self.fp == None:
1181 1181 self.setNextFile()
1182 1182
1183 1183 if self.flagIsNewFile:
1184 1184 return 1
1185 1185
1186 1186 if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile:
1187 1187 self.basicHeaderObj.write(self.fp)
1188 1188 return 1
1189 1189
1190 1190 if not( self.setNextFile() ):
1191 1191 return 0
1192 1192
1193 1193 return 1
1194 1194
1195 1195
1196 1196 def writeNextBlock(self):
1197 1197 """
1198 1198 Selecciona el bloque siguiente de datos y los escribe en un file
1199 1199
1200 1200 Return:
1201 1201 0 : Si no hizo pudo escribir el bloque de datos
1202 1202 1 : Si no pudo escribir el bloque de datos
1203 1203 """
1204 1204 if not( self.__setNewBlock() ):
1205 1205 return 0
1206 1206
1207 1207 self.writeBlock()
1208 1208
1209 1209 return 1
1210 1210
1211 1211 def setNextFile(self):
1212 1212 """
1213 1213 Determina el siguiente file que sera escrito
1214 1214
1215 1215 Affected:
1216 1216 self.filename
1217 1217 self.subfolder
1218 1218 self.fp
1219 1219 self.setFile
1220 1220 self.flagIsNewFile
1221 1221
1222 1222 Return:
1223 1223 0 : Si el archivo no puede ser escrito
1224 1224 1 : Si el archivo esta listo para ser escrito
1225 1225 """
1226 1226 ext = self.ext
1227 1227 path = self.path
1228 1228
1229 1229 if self.fp != None:
1230 1230 self.fp.close()
1231 1231
1232 1232 timeTuple = time.localtime( self.dataOut.utctime)
1233 1233 subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday)
1234 1234
1235 1235 fullpath = os.path.join( path, subfolder )
1236 1236 if not( os.path.exists(fullpath) ):
1237 1237 os.mkdir(fullpath)
1238 1238 self.setFile = -1 #inicializo mi contador de seteo
1239 1239 else:
1240 1240 filesList = os.listdir( fullpath )
1241 1241 if len( filesList ) > 0:
1242 1242 filesList = sorted( filesList, key=str.lower )
1243 1243 filen = filesList[-1]
1244 1244 # el filename debera tener el siguiente formato
1245 1245 # 0 1234 567 89A BCDE (hex)
1246 1246 # x YYYY DDD SSS .ext
1247 1247 if isNumber( filen[8:11] ):
1248 1248 self.setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file
1249 1249 else:
1250 1250 self.setFile = -1
1251 1251 else:
1252 1252 self.setFile = -1 #inicializo mi contador de seteo
1253 1253
1254 1254 setFile = self.setFile
1255 1255 setFile += 1
1256 1256
1257 1257 file = '%s%4.4d%3.3d%3.3d%s' % (self.optchar,
1258 1258 timeTuple.tm_year,
1259 1259 timeTuple.tm_yday,
1260 1260 setFile,
1261 1261 ext )
1262 1262
1263 1263 filename = os.path.join( path, subfolder, file )
1264 1264
1265 1265 fp = open( filename,'wb' )
1266 1266
1267 1267 self.blockIndex = 0
1268 1268
1269 1269 #guardando atributos
1270 1270 self.filename = filename
1271 1271 self.subfolder = subfolder
1272 1272 self.fp = fp
1273 1273 self.setFile = setFile
1274 1274 self.flagIsNewFile = 1
1275 1275
1276 1276 self.setFirstHeader()
1277 1277
1278 1278 print 'Writing the file: %s'%self.filename
1279 1279
1280 1280 self.__writeFirstHeader()
1281 1281
1282 1282 return 1
1283 1283
1284 1284 def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=0, ext=None):
1285 1285 """
1286 1286 Setea el tipo de formato en la cual sera guardada la data y escribe el First Header
1287 1287
1288 1288 Inputs:
1289 1289 path : el path destino en el cual se escribiran los files a crear
1290 1290 format : formato en el cual sera salvado un file
1291 1291 set : el setebo del file
1292 1292
1293 1293 Return:
1294 1294 0 : Si no realizo un buen seteo
1295 1295 1 : Si realizo un buen seteo
1296 1296 """
1297 1297
1298 1298 if ext == None:
1299 1299 ext = self.ext
1300 1300
1301 1301 ext = ext.lower()
1302 1302
1303 1303 self.ext = ext
1304 1304
1305 1305 self.path = path
1306 1306
1307 1307 self.setFile = set - 1
1308 1308
1309 1309 self.blocksPerFile = blocksPerFile
1310 1310
1311 1311 self.profilesPerBlock = profilesPerBlock
1312 1312
1313 1313 self.dataOut = dataOut
1314 1314
1315 1315 if not(self.setNextFile()):
1316 1316 print "There isn't a next file"
1317 1317 return 0
1318 1318
1319 1319 self.setBlockDimension()
1320 1320
1321 1321 return 1
1322 1322
1323 1323 def run(self, dataOut, **kwargs):
1324 1324
1325 1325 if not(self.isConfig):
1326 1326
1327 1327 self.setup(dataOut, **kwargs)
1328 1328 self.isConfig = True
1329 1329
1330 1330 self.putData()
1331 1331
1332 1332 class VoltageReader(JRODataReader):
1333 1333 """
1334 1334 Esta clase permite leer datos de voltage desde archivos en formato rawdata (.r). La lectura
1335 1335 de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones:
1336 1336 perfiles*alturas*canales) son almacenados en la variable "buffer".
1337 1337
1338 1338 perfiles * alturas * canales
1339 1339
1340 1340 Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader,
1341 1341 RadarControllerHeader y Voltage. Los tres primeros se usan para almacenar informacion de la
1342 1342 cabecera de datos (metadata), y el cuarto (Voltage) para obtener y almacenar un perfil de
1343 1343 datos desde el "buffer" cada vez que se ejecute el metodo "getData".
1344 1344
1345 1345 Example:
1346 1346
1347 1347 dpath = "/home/myuser/data"
1348 1348
1349 1349 startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0)
1350 1350
1351 1351 endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0)
1352 1352
1353 1353 readerObj = VoltageReader()
1354 1354
1355 1355 readerObj.setup(dpath, startTime, endTime)
1356 1356
1357 1357 while(True):
1358 1358
1359 1359 #to get one profile
1360 1360 profile = readerObj.getData()
1361 1361
1362 1362 #print the profile
1363 1363 print profile
1364 1364
1365 1365 #If you want to see all datablock
1366 1366 print readerObj.datablock
1367 1367
1368 1368 if readerObj.flagNoMoreFiles:
1369 1369 break
1370 1370
1371 1371 """
1372 1372
1373 1373 ext = ".r"
1374 1374
1375 1375 optchar = "D"
1376 1376 dataOut = None
1377 1377
1378 1378
1379 1379 def __init__(self):
1380 1380 """
1381 1381 Inicializador de la clase VoltageReader para la lectura de datos de voltage.
1382 1382
1383 1383 Input:
1384 1384 dataOut : Objeto de la clase Voltage. Este objeto sera utilizado para
1385 1385 almacenar un perfil de datos cada vez que se haga un requerimiento
1386 1386 (getData). El perfil sera obtenido a partir del buffer de datos,
1387 1387 si el buffer esta vacio se hara un nuevo proceso de lectura de un
1388 1388 bloque de datos.
1389 1389 Si este parametro no es pasado se creara uno internamente.
1390 1390
1391 1391 Variables afectadas:
1392 1392 self.dataOut
1393 1393
1394 1394 Return:
1395 1395 None
1396 1396 """
1397 1397
1398 1398 self.isConfig = False
1399 1399
1400 1400 self.datablock = None
1401 1401
1402 1402 self.utc = 0
1403 1403
1404 1404 self.ext = ".r"
1405 1405
1406 1406 self.optchar = "D"
1407 1407
1408 1408 self.basicHeaderObj = BasicHeader(LOCALTIME)
1409 1409
1410 1410 self.systemHeaderObj = SystemHeader()
1411 1411
1412 1412 self.radarControllerHeaderObj = RadarControllerHeader()
1413 1413
1414 1414 self.processingHeaderObj = ProcessingHeader()
1415 1415
1416 1416 self.online = 0
1417 1417
1418 1418 self.fp = None
1419 1419
1420 1420 self.idFile = None
1421 1421
1422 1422 self.dtype = None
1423 1423
1424 1424 self.fileSizeByHeader = None
1425 1425
1426 1426 self.filenameList = []
1427 1427
1428 1428 self.filename = None
1429 1429
1430 1430 self.fileSize = None
1431 1431
1432 1432 self.firstHeaderSize = 0
1433 1433
1434 1434 self.basicHeaderSize = 24
1435 1435
1436 1436 self.pathList = []
1437 1437
1438 1438 self.filenameList = []
1439 1439
1440 1440 self.lastUTTime = 0
1441 1441
1442 1442 self.maxTimeStep = 30
1443 1443
1444 1444 self.flagNoMoreFiles = 0
1445 1445
1446 1446 self.set = 0
1447 1447
1448 1448 self.path = None
1449 1449
1450 1450 self.profileIndex = 2**32-1
1451 1451
1452 1452 self.delay = 3 #seconds
1453 1453
1454 1454 self.nTries = 3 #quantity tries
1455 1455
1456 1456 self.nFiles = 3 #number of files for searching
1457 1457
1458 1458 self.nReadBlocks = 0
1459 1459
1460 1460 self.flagIsNewFile = 1
1461 1461
1462 1462 self.__isFirstTimeOnline = 1
1463 1463
1464 1464 self.ippSeconds = 0
1465 1465
1466 1466 self.flagTimeBlock = 0
1467 1467
1468 1468 self.flagIsNewBlock = 0
1469 1469
1470 1470 self.nTotalBlocks = 0
1471 1471
1472 1472 self.blocksize = 0
1473 1473
1474 1474 self.dataOut = self.createObjByDefault()
1475 1475
1476 1476 def createObjByDefault(self):
1477 1477
1478 1478 dataObj = Voltage()
1479 1479
1480 1480 return dataObj
1481 1481
1482 1482 def __hasNotDataInBuffer(self):
1483 1483 if self.profileIndex >= self.processingHeaderObj.profilesPerBlock:
1484 1484 return 1
1485 1485 return 0
1486 1486
1487 1487
1488 1488 def getBlockDimension(self):
1489 1489 """
1490 1490 Obtiene la cantidad de puntos a leer por cada bloque de datos
1491 1491
1492 1492 Affected:
1493 1493 self.blocksize
1494 1494
1495 1495 Return:
1496 1496 None
1497 1497 """
1498 1498 pts2read = self.processingHeaderObj.profilesPerBlock * self.processingHeaderObj.nHeights * self.systemHeaderObj.nChannels
1499 1499 self.blocksize = pts2read
1500 1500
1501 1501
1502 1502 def readBlock(self):
1503 1503 """
1504 1504 readBlock lee el bloque de datos desde la posicion actual del puntero del archivo
1505 1505 (self.fp) y actualiza todos los parametros relacionados al bloque de datos
1506 1506 (metadata + data). La data leida es almacenada en el buffer y el contador del buffer
1507 1507 es seteado a 0
1508 1508
1509 1509 Inputs:
1510 1510 None
1511 1511
1512 1512 Return:
1513 1513 None
1514 1514
1515 1515 Affected:
1516 1516 self.profileIndex
1517 1517 self.datablock
1518 1518 self.flagIsNewFile
1519 1519 self.flagIsNewBlock
1520 1520 self.nTotalBlocks
1521 1521
1522 1522 Exceptions:
1523 1523 Si un bloque leido no es un bloque valido
1524 1524 """
1525 1525 current_pointer_location = self.fp.tell()
1526 1526 junk = numpy.fromfile( self.fp, self.dtype, self.blocksize )
1527 1527
1528 1528 try:
1529 1529 junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) )
1530 1530 except:
1531 1531 #print "The read block (%3d) has not enough data" %self.nReadBlocks
1532 1532
1533 1533 if self.waitDataBlock(pointer_location=current_pointer_location):
1534 1534 junk = numpy.fromfile( self.fp, self.dtype, self.blocksize )
1535 1535 junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) )
1536 1536 # return 0
1537 1537
1538 1538 junk = numpy.transpose(junk, (2,0,1))
1539 1539 self.datablock = junk['real'] + junk['imag']*1j
1540 1540
1541 1541 self.profileIndex = 0
1542 1542
1543 1543 self.flagIsNewFile = 0
1544 1544 self.flagIsNewBlock = 1
1545 1545
1546 1546 self.nTotalBlocks += 1
1547 1547 self.nReadBlocks += 1
1548 1548
1549 1549 return 1
1550 1550
1551 1551 def getFirstHeader(self):
1552 1552
1553 1553 self.dataOut.dtype = self.dtype
1554 1554
1555 1555 self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock
1556 1556
1557 1557 xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight
1558 1558
1559 1559 self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight)
1560 1560
1561 1561 self.dataOut.channelList = range(self.systemHeaderObj.nChannels)
1562 1562
1563 1563 self.dataOut.ippSeconds = self.ippSeconds
1564 1564
1565 1565 self.dataOut.timeInterval = self.ippSeconds * self.processingHeaderObj.nCohInt
1566 1566
1567 1567 self.dataOut.nCohInt = self.processingHeaderObj.nCohInt
1568 1568
1569 1569 self.dataOut.flagShiftFFT = False
1570 1570
1571 1571 if self.radarControllerHeaderObj.code != None:
1572 1572
1573 1573 self.dataOut.nCode = self.radarControllerHeaderObj.nCode
1574 1574
1575 1575 self.dataOut.nBaud = self.radarControllerHeaderObj.nBaud
1576 1576
1577 1577 self.dataOut.code = self.radarControllerHeaderObj.code
1578 1578
1579 1579 self.dataOut.systemHeaderObj = self.systemHeaderObj.copy()
1580 1580
1581 1581 self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy()
1582 1582
1583 1583 self.dataOut.flagDecodeData = False #asumo q la data no esta decodificada
1584 1584
1585 1585 self.dataOut.flagDeflipData = False #asumo q la data no esta sin flip
1586 1586
1587 1587 self.dataOut.flagShiftFFT = False
1588 1588
1589 1589 def getData(self):
1590 1590 """
1591 1591 getData obtiene una unidad de datos del buffer de lectura y la copia a la clase "Voltage"
1592 1592 con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de
1593 1593 lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock"
1594 1594
1595 1595 Ademas incrementa el contador del buffer en 1.
1596 1596
1597 1597 Return:
1598 1598 data : retorna un perfil de voltages (alturas * canales) copiados desde el
1599 1599 buffer. Si no hay mas archivos a leer retorna None.
1600 1600
1601 1601 Variables afectadas:
1602 1602 self.dataOut
1603 1603 self.profileIndex
1604 1604
1605 1605 Affected:
1606 1606 self.dataOut
1607 1607 self.profileIndex
1608 1608 self.flagTimeBlock
1609 1609 self.flagIsNewBlock
1610 1610 """
1611 1611
1612 1612 if self.flagNoMoreFiles:
1613 1613 self.dataOut.flagNoData = True
1614 1614 print 'Process finished'
1615 1615 return 0
1616 1616
1617 1617 self.flagTimeBlock = 0
1618 1618 self.flagIsNewBlock = 0
1619 1619
1620 1620 if self.__hasNotDataInBuffer():
1621 1621
1622 1622 if not( self.readNextBlock() ):
1623 1623 return 0
1624 1624
1625 1625 self.getFirstHeader()
1626 1626
1627 1627 if self.datablock == None:
1628 1628 self.dataOut.flagNoData = True
1629 1629 return 0
1630 1630
1631 1631 self.dataOut.data = self.datablock[:,self.profileIndex,:]
1632 1632
1633 1633 self.dataOut.flagNoData = False
1634 1634
1635 1635 self.getBasicHeader()
1636 1636
1637 1637 self.profileIndex += 1
1638 1638
1639 1639 self.dataOut.realtime = self.online
1640 1640
1641 1641 return self.dataOut.data
1642 1642
1643 1643
1644 1644 class VoltageWriter(JRODataWriter):
1645 1645 """
1646 1646 Esta clase permite escribir datos de voltajes a archivos procesados (.r). La escritura
1647 1647 de los datos siempre se realiza por bloques.
1648 1648 """
1649 1649
1650 1650 ext = ".r"
1651 1651
1652 1652 optchar = "D"
1653 1653
1654 1654 shapeBuffer = None
1655 1655
1656 1656
1657 1657 def __init__(self):
1658 1658 """
1659 1659 Inicializador de la clase VoltageWriter para la escritura de datos de espectros.
1660 1660
1661 1661 Affected:
1662 1662 self.dataOut
1663 1663
1664 1664 Return: None
1665 1665 """
1666 1666
1667 1667 self.nTotalBlocks = 0
1668 1668
1669 1669 self.profileIndex = 0
1670 1670
1671 1671 self.isConfig = False
1672 1672
1673 1673 self.fp = None
1674 1674
1675 1675 self.flagIsNewFile = 1
1676 1676
1677 1677 self.nTotalBlocks = 0
1678 1678
1679 1679 self.flagIsNewBlock = 0
1680 1680
1681 1681 self.setFile = None
1682 1682
1683 1683 self.dtype = None
1684 1684
1685 1685 self.path = None
1686 1686
1687 1687 self.filename = None
1688 1688
1689 1689 self.basicHeaderObj = BasicHeader(LOCALTIME)
1690 1690
1691 1691 self.systemHeaderObj = SystemHeader()
1692 1692
1693 1693 self.radarControllerHeaderObj = RadarControllerHeader()
1694 1694
1695 1695 self.processingHeaderObj = ProcessingHeader()
1696 1696
1697 1697 def hasAllDataInBuffer(self):
1698 1698 if self.profileIndex >= self.processingHeaderObj.profilesPerBlock:
1699 1699 return 1
1700 1700 return 0
1701 1701
1702 1702
1703 1703 def setBlockDimension(self):
1704 1704 """
1705 1705 Obtiene las formas dimensionales del los subbloques de datos que componen un bloque
1706 1706
1707 1707 Affected:
1708 1708 self.shape_spc_Buffer
1709 1709 self.shape_cspc_Buffer
1710 1710 self.shape_dc_Buffer
1711 1711
1712 1712 Return: None
1713 1713 """
1714 1714 self.shapeBuffer = (self.processingHeaderObj.profilesPerBlock,
1715 1715 self.processingHeaderObj.nHeights,
1716 1716 self.systemHeaderObj.nChannels)
1717 1717
1718 1718 self.datablock = numpy.zeros((self.systemHeaderObj.nChannels,
1719 1719 self.processingHeaderObj.profilesPerBlock,
1720 1720 self.processingHeaderObj.nHeights),
1721 1721 dtype=numpy.dtype('complex64'))
1722 1722
1723 1723
1724 1724 def writeBlock(self):
1725 1725 """
1726 1726 Escribe el buffer en el file designado
1727 1727
1728 1728 Affected:
1729 1729 self.profileIndex
1730 1730 self.flagIsNewFile
1731 1731 self.flagIsNewBlock
1732 1732 self.nTotalBlocks
1733 1733 self.blockIndex
1734 1734
1735 1735 Return: None
1736 1736 """
1737 1737 data = numpy.zeros( self.shapeBuffer, self.dtype )
1738 1738
1739 1739 junk = numpy.transpose(self.datablock, (1,2,0))
1740 1740
1741 1741 data['real'] = junk.real
1742 1742 data['imag'] = junk.imag
1743 1743
1744 1744 data = data.reshape( (-1) )
1745 1745
1746 1746 data.tofile( self.fp )
1747 1747
1748 1748 self.datablock.fill(0)
1749 1749
1750 1750 self.profileIndex = 0
1751 1751 self.flagIsNewFile = 0
1752 1752 self.flagIsNewBlock = 1
1753 1753
1754 1754 self.blockIndex += 1
1755 1755 self.nTotalBlocks += 1
1756 1756
1757 1757 def putData(self):
1758 1758 """
1759 1759 Setea un bloque de datos y luego los escribe en un file
1760 1760
1761 1761 Affected:
1762 1762 self.flagIsNewBlock
1763 1763 self.profileIndex
1764 1764
1765 1765 Return:
1766 1766 0 : Si no hay data o no hay mas files que puedan escribirse
1767 1767 1 : Si se escribio la data de un bloque en un file
1768 1768 """
1769 1769 if self.dataOut.flagNoData:
1770 1770 return 0
1771 1771
1772 1772 self.flagIsNewBlock = 0
1773 1773
1774 1774 if self.dataOut.flagTimeBlock:
1775 1775
1776 1776 self.datablock.fill(0)
1777 1777 self.profileIndex = 0
1778 1778 self.setNextFile()
1779 1779
1780 1780 if self.profileIndex == 0:
1781 1781 self.setBasicHeader()
1782 1782
1783 1783 self.datablock[:,self.profileIndex,:] = self.dataOut.data
1784 1784
1785 1785 self.profileIndex += 1
1786 1786
1787 1787 if self.hasAllDataInBuffer():
1788 1788 #if self.flagIsNewFile:
1789 1789 self.writeNextBlock()
1790 1790 # self.setFirstHeader()
1791 1791
1792 1792 return 1
1793 1793
1794 1794 def __getProcessFlags(self):
1795 1795
1796 1796 processFlags = 0
1797 1797
1798 1798 dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')])
1799 1799 dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')])
1800 1800 dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')])
1801 1801 dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')])
1802 1802 dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')])
1803 1803 dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')])
1804 1804
1805 1805 dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5]
1806 1806
1807 1807
1808 1808
1809 1809 datatypeValueList = [PROCFLAG.DATATYPE_CHAR,
1810 1810 PROCFLAG.DATATYPE_SHORT,
1811 1811 PROCFLAG.DATATYPE_LONG,
1812 1812 PROCFLAG.DATATYPE_INT64,
1813 1813 PROCFLAG.DATATYPE_FLOAT,
1814 1814 PROCFLAG.DATATYPE_DOUBLE]
1815 1815
1816 1816
1817 1817 for index in range(len(dtypeList)):
1818 1818 if self.dataOut.dtype == dtypeList[index]:
1819 1819 dtypeValue = datatypeValueList[index]
1820 1820 break
1821 1821
1822 1822 processFlags += dtypeValue
1823 1823
1824 1824 if self.dataOut.flagDecodeData:
1825 1825 processFlags += PROCFLAG.DECODE_DATA
1826 1826
1827 1827 if self.dataOut.flagDeflipData:
1828 1828 processFlags += PROCFLAG.DEFLIP_DATA
1829 1829
1830 1830 if self.dataOut.code != None:
1831 1831 processFlags += PROCFLAG.DEFINE_PROCESS_CODE
1832 1832
1833 1833 if self.dataOut.nCohInt > 1:
1834 1834 processFlags += PROCFLAG.COHERENT_INTEGRATION
1835 1835
1836 1836 return processFlags
1837 1837
1838 1838
1839 1839 def __getBlockSize(self):
1840 1840 '''
1841 1841 Este metodos determina el cantidad de bytes para un bloque de datos de tipo Voltage
1842 1842 '''
1843 1843
1844 1844 dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')])
1845 1845 dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')])
1846 1846 dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')])
1847 1847 dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')])
1848 1848 dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')])
1849 1849 dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')])
1850 1850
1851 1851 dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5]
1852 1852 datatypeValueList = [1,2,4,8,4,8]
1853 1853 for index in range(len(dtypeList)):
1854 1854 if self.dataOut.dtype == dtypeList[index]:
1855 1855 datatypeValue = datatypeValueList[index]
1856 1856 break
1857 1857
1858 1858 blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * self.profilesPerBlock * datatypeValue * 2)
1859 1859
1860 1860 return blocksize
1861 1861
1862 1862 def setFirstHeader(self):
1863 1863
1864 1864 """
1865 1865 Obtiene una copia del First Header
1866 1866
1867 1867 Affected:
1868 1868 self.systemHeaderObj
1869 1869 self.radarControllerHeaderObj
1870 1870 self.dtype
1871 1871
1872 1872 Return:
1873 1873 None
1874 1874 """
1875 1875
1876 1876 self.systemHeaderObj = self.dataOut.systemHeaderObj.copy()
1877 1877 self.systemHeaderObj.nChannels = self.dataOut.nChannels
1878 1878 self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy()
1879 1879
1880 1880 self.setBasicHeader()
1881 1881
1882 1882 processingHeaderSize = 40 # bytes
1883 1883 self.processingHeaderObj.dtype = 0 # Voltage
1884 1884 self.processingHeaderObj.blockSize = self.__getBlockSize()
1885 1885 self.processingHeaderObj.profilesPerBlock = self.profilesPerBlock
1886 1886 self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile
1887 1887 self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows
1888 1888 self.processingHeaderObj.processFlags = self.__getProcessFlags()
1889 1889 self.processingHeaderObj.nCohInt = self.dataOut.nCohInt
1890 1890 self.processingHeaderObj.nIncohInt = 1 # Cuando la data de origen es de tipo Voltage
1891 1891 self.processingHeaderObj.totalSpectra = 0 # Cuando la data de origen es de tipo Voltage
1892 1892
1893 1893 # if self.dataOut.code != None:
1894 1894 # self.processingHeaderObj.code = self.dataOut.code
1895 1895 # self.processingHeaderObj.nCode = self.dataOut.nCode
1896 1896 # self.processingHeaderObj.nBaud = self.dataOut.nBaud
1897 1897 # codesize = int(8 + 4 * self.dataOut.nCode * self.dataOut.nBaud)
1898 1898 # processingHeaderSize += codesize
1899 1899
1900 1900 if self.processingHeaderObj.nWindows != 0:
1901 1901 self.processingHeaderObj.firstHeight = self.dataOut.heightList[0]
1902 1902 self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0]
1903 1903 self.processingHeaderObj.nHeights = self.dataOut.nHeights
1904 1904 self.processingHeaderObj.samplesWin = self.dataOut.nHeights
1905 1905 processingHeaderSize += 12
1906 1906
1907 1907 self.processingHeaderObj.size = processingHeaderSize
1908 1908
1909 1909 class SpectraReader(JRODataReader):
1910 1910 """
1911 1911 Esta clase permite leer datos de espectros desde archivos procesados (.pdata). La lectura
1912 1912 de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones)
1913 1913 son almacenados en tres buffer's para el Self Spectra, el Cross Spectra y el DC Channel.
1914 1914
1915 1915 paresCanalesIguales * alturas * perfiles (Self Spectra)
1916 1916 paresCanalesDiferentes * alturas * perfiles (Cross Spectra)
1917 1917 canales * alturas (DC Channels)
1918 1918
1919 1919 Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader,
1920 1920 RadarControllerHeader y Spectra. Los tres primeros se usan para almacenar informacion de la
1921 1921 cabecera de datos (metadata), y el cuarto (Spectra) para obtener y almacenar un bloque de
1922 1922 datos desde el "buffer" cada vez que se ejecute el metodo "getData".
1923 1923
1924 1924 Example:
1925 1925 dpath = "/home/myuser/data"
1926 1926
1927 1927 startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0)
1928 1928
1929 1929 endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0)
1930 1930
1931 1931 readerObj = SpectraReader()
1932 1932
1933 1933 readerObj.setup(dpath, startTime, endTime)
1934 1934
1935 1935 while(True):
1936 1936
1937 1937 readerObj.getData()
1938 1938
1939 1939 print readerObj.data_spc
1940 1940
1941 1941 print readerObj.data_cspc
1942 1942
1943 1943 print readerObj.data_dc
1944 1944
1945 1945 if readerObj.flagNoMoreFiles:
1946 1946 break
1947 1947
1948 1948 """
1949 1949
1950 1950 pts2read_SelfSpectra = 0
1951 1951
1952 1952 pts2read_CrossSpectra = 0
1953 1953
1954 1954 pts2read_DCchannels = 0
1955 1955
1956 1956 ext = ".pdata"
1957 1957
1958 1958 optchar = "P"
1959 1959
1960 1960 dataOut = None
1961 1961
1962 1962 nRdChannels = None
1963 1963
1964 1964 nRdPairs = None
1965 1965
1966 1966 rdPairList = []
1967 1967
1968 1968 def __init__(self):
1969 1969 """
1970 1970 Inicializador de la clase SpectraReader para la lectura de datos de espectros.
1971 1971
1972 1972 Inputs:
1973 1973 dataOut : Objeto de la clase Spectra. Este objeto sera utilizado para
1974 1974 almacenar un perfil de datos cada vez que se haga un requerimiento
1975 1975 (getData). El perfil sera obtenido a partir del buffer de datos,
1976 1976 si el buffer esta vacio se hara un nuevo proceso de lectura de un
1977 1977 bloque de datos.
1978 1978 Si este parametro no es pasado se creara uno internamente.
1979 1979
1980 1980 Affected:
1981 1981 self.dataOut
1982 1982
1983 1983 Return : None
1984 1984 """
1985 1985
1986 1986 self.isConfig = False
1987 1987
1988 1988 self.pts2read_SelfSpectra = 0
1989 1989
1990 1990 self.pts2read_CrossSpectra = 0
1991 1991
1992 1992 self.pts2read_DCchannels = 0
1993 1993
1994 1994 self.datablock = None
1995 1995
1996 1996 self.utc = None
1997 1997
1998 1998 self.ext = ".pdata"
1999 1999
2000 2000 self.optchar = "P"
2001 2001
2002 2002 self.basicHeaderObj = BasicHeader(LOCALTIME)
2003 2003
2004 2004 self.systemHeaderObj = SystemHeader()
2005 2005
2006 2006 self.radarControllerHeaderObj = RadarControllerHeader()
2007 2007
2008 2008 self.processingHeaderObj = ProcessingHeader()
2009 2009
2010 2010 self.online = 0
2011 2011
2012 2012 self.fp = None
2013 2013
2014 2014 self.idFile = None
2015 2015
2016 2016 self.dtype = None
2017 2017
2018 2018 self.fileSizeByHeader = None
2019 2019
2020 2020 self.filenameList = []
2021 2021
2022 2022 self.filename = None
2023 2023
2024 2024 self.fileSize = None
2025 2025
2026 2026 self.firstHeaderSize = 0
2027 2027
2028 2028 self.basicHeaderSize = 24
2029 2029
2030 2030 self.pathList = []
2031 2031
2032 2032 self.lastUTTime = 0
2033 2033
2034 2034 self.maxTimeStep = 30
2035 2035
2036 2036 self.flagNoMoreFiles = 0
2037 2037
2038 2038 self.set = 0
2039 2039
2040 2040 self.path = None
2041 2041
2042 2042 self.delay = 60 #seconds
2043 2043
2044 2044 self.nTries = 3 #quantity tries
2045 2045
2046 2046 self.nFiles = 3 #number of files for searching
2047 2047
2048 2048 self.nReadBlocks = 0
2049 2049
2050 2050 self.flagIsNewFile = 1
2051 2051
2052 2052 self.__isFirstTimeOnline = 1
2053 2053
2054 2054 self.ippSeconds = 0
2055 2055
2056 2056 self.flagTimeBlock = 0
2057 2057
2058 2058 self.flagIsNewBlock = 0
2059 2059
2060 2060 self.nTotalBlocks = 0
2061 2061
2062 2062 self.blocksize = 0
2063 2063
2064 2064 self.dataOut = self.createObjByDefault()
2065 2065
2066 2066 self.profileIndex = 1 #Always
2067 2067
2068 2068
2069 2069 def createObjByDefault(self):
2070 2070
2071 2071 dataObj = Spectra()
2072 2072
2073 2073 return dataObj
2074 2074
2075 2075 def __hasNotDataInBuffer(self):
2076 2076 return 1
2077 2077
2078 2078
2079 2079 def getBlockDimension(self):
2080 2080 """
2081 2081 Obtiene la cantidad de puntos a leer por cada bloque de datos
2082 2082
2083 2083 Affected:
2084 2084 self.nRdChannels
2085 2085 self.nRdPairs
2086 2086 self.pts2read_SelfSpectra
2087 2087 self.pts2read_CrossSpectra
2088 2088 self.pts2read_DCchannels
2089 2089 self.blocksize
2090 2090 self.dataOut.nChannels
2091 2091 self.dataOut.nPairs
2092 2092
2093 2093 Return:
2094 2094 None
2095 2095 """
2096 2096 self.nRdChannels = 0
2097 2097 self.nRdPairs = 0
2098 2098 self.rdPairList = []
2099 2099
2100 2100 for i in range(0, self.processingHeaderObj.totalSpectra*2, 2):
2101 2101 if self.processingHeaderObj.spectraComb[i] == self.processingHeaderObj.spectraComb[i+1]:
2102 2102 self.nRdChannels = self.nRdChannels + 1 #par de canales iguales
2103 2103 else:
2104 2104 self.nRdPairs = self.nRdPairs + 1 #par de canales diferentes
2105 2105 self.rdPairList.append((self.processingHeaderObj.spectraComb[i], self.processingHeaderObj.spectraComb[i+1]))
2106 2106
2107 2107 pts2read = self.processingHeaderObj.nHeights * self.processingHeaderObj.profilesPerBlock
2108 2108
2109 2109 self.pts2read_SelfSpectra = int(self.nRdChannels * pts2read)
2110 2110 self.blocksize = self.pts2read_SelfSpectra
2111 2111
2112 2112 if self.processingHeaderObj.flag_cspc:
2113 2113 self.pts2read_CrossSpectra = int(self.nRdPairs * pts2read)
2114 2114 self.blocksize += self.pts2read_CrossSpectra
2115 2115
2116 2116 if self.processingHeaderObj.flag_dc:
2117 2117 self.pts2read_DCchannels = int(self.systemHeaderObj.nChannels * self.processingHeaderObj.nHeights)
2118 2118 self.blocksize += self.pts2read_DCchannels
2119 2119
2120 2120 # self.blocksize = self.pts2read_SelfSpectra + self.pts2read_CrossSpectra + self.pts2read_DCchannels
2121 2121
2122 2122
2123 2123 def readBlock(self):
2124 2124 """
2125 2125 Lee el bloque de datos desde la posicion actual del puntero del archivo
2126 2126 (self.fp) y actualiza todos los parametros relacionados al bloque de datos
2127 2127 (metadata + data). La data leida es almacenada en el buffer y el contador del buffer
2128 2128 es seteado a 0
2129 2129
2130 2130 Return: None
2131 2131
2132 2132 Variables afectadas:
2133 2133
2134 2134 self.flagIsNewFile
2135 2135 self.flagIsNewBlock
2136 2136 self.nTotalBlocks
2137 2137 self.data_spc
2138 2138 self.data_cspc
2139 2139 self.data_dc
2140 2140
2141 2141 Exceptions:
2142 2142 Si un bloque leido no es un bloque valido
2143 2143 """
2144 2144 blockOk_flag = False
2145 2145 fpointer = self.fp.tell()
2146 2146
2147 2147 spc = numpy.fromfile( self.fp, self.dtype[0], self.pts2read_SelfSpectra )
2148 2148 spc = spc.reshape( (self.nRdChannels, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D
2149 2149
2150 2150 if self.processingHeaderObj.flag_cspc:
2151 2151 cspc = numpy.fromfile( self.fp, self.dtype, self.pts2read_CrossSpectra )
2152 2152 cspc = cspc.reshape( (self.nRdPairs, self.processingHeaderObj.nHeights, self.processingHeaderObj.profilesPerBlock) ) #transforma a un arreglo 3D
2153 2153
2154 2154 if self.processingHeaderObj.flag_dc:
2155 2155 dc = numpy.fromfile( self.fp, self.dtype, self.pts2read_DCchannels ) #int(self.processingHeaderObj.nHeights*self.systemHeaderObj.nChannels) )
2156 2156 dc = dc.reshape( (self.systemHeaderObj.nChannels, self.processingHeaderObj.nHeights) ) #transforma a un arreglo 2D
2157 2157
2158 2158
2159 2159 if not(self.processingHeaderObj.shif_fft):
2160 2160 #desplaza a la derecha en el eje 2 determinadas posiciones
2161 2161 shift = int(self.processingHeaderObj.profilesPerBlock/2)
2162 2162 spc = numpy.roll( spc, shift , axis=2 )
2163 2163
2164 2164 if self.processingHeaderObj.flag_cspc:
2165 2165 #desplaza a la derecha en el eje 2 determinadas posiciones
2166 2166 cspc = numpy.roll( cspc, shift, axis=2 )
2167 2167
2168 2168 # self.processingHeaderObj.shif_fft = True
2169 2169
2170 2170 spc = numpy.transpose( spc, (0,2,1) )
2171 2171 self.data_spc = spc
2172 2172
2173 2173 if self.processingHeaderObj.flag_cspc:
2174 2174 cspc = numpy.transpose( cspc, (0,2,1) )
2175 2175 self.data_cspc = cspc['real'] + cspc['imag']*1j
2176 2176 else:
2177 2177 self.data_cspc = None
2178 2178
2179 2179 if self.processingHeaderObj.flag_dc:
2180 2180 self.data_dc = dc['real'] + dc['imag']*1j
2181 2181 else:
2182 2182 self.data_dc = None
2183 2183
2184 2184 self.flagIsNewFile = 0
2185 2185 self.flagIsNewBlock = 1
2186 2186
2187 2187 self.nTotalBlocks += 1
2188 2188 self.nReadBlocks += 1
2189 2189
2190 2190 return 1
2191 2191
2192 2192 def getFirstHeader(self):
2193 2193
2194 2194 self.dataOut.dtype = self.dtype
2195 2195
2196 2196 self.dataOut.nPairs = self.nRdPairs
2197 2197
2198 2198 self.dataOut.pairsList = self.rdPairList
2199 2199
2200 2200 self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock
2201 2201
2202 2202 self.dataOut.nFFTPoints = self.processingHeaderObj.profilesPerBlock
2203 2203
2204 2204 self.dataOut.nCohInt = self.processingHeaderObj.nCohInt
2205 2205
2206 2206 self.dataOut.nIncohInt = self.processingHeaderObj.nIncohInt
2207 2207
2208 2208 xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight
2209 2209
2210 2210 self.dataOut.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight)
2211 2211
2212 2212 self.dataOut.channelList = range(self.systemHeaderObj.nChannels)
2213 2213
2214 2214 self.dataOut.ippSeconds = self.ippSeconds
2215 2215
2216 2216 self.dataOut.timeInterval = self.ippSeconds * self.processingHeaderObj.nCohInt * self.processingHeaderObj.nIncohInt * self.dataOut.nFFTPoints
2217 2217
2218 2218 self.dataOut.systemHeaderObj = self.systemHeaderObj.copy()
2219 2219
2220 2220 self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy()
2221 2221
2222 2222 self.dataOut.flagShiftFFT = self.processingHeaderObj.shif_fft
2223 2223
2224 2224 self.dataOut.flagDecodeData = False #asumo q la data no esta decodificada
2225 2225
2226 2226 self.dataOut.flagDeflipData = True #asumo q la data no esta sin flip
2227 2227
2228 2228 if self.processingHeaderObj.code != None:
2229 2229
2230 2230 self.dataOut.nCode = self.processingHeaderObj.nCode
2231 2231
2232 2232 self.dataOut.nBaud = self.processingHeaderObj.nBaud
2233 2233
2234 2234 self.dataOut.code = self.processingHeaderObj.code
2235 2235
2236 2236 self.dataOut.flagDecodeData = True
2237 2237
2238 2238 def getData(self):
2239 2239 """
2240 2240 Copia el buffer de lectura a la clase "Spectra",
2241 2241 con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de
2242 2242 lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock"
2243 2243
2244 2244 Return:
2245 2245 0 : Si no hay mas archivos disponibles
2246 2246 1 : Si hizo una buena copia del buffer
2247 2247
2248 2248 Affected:
2249 2249 self.dataOut
2250 2250
2251 2251 self.flagTimeBlock
2252 2252 self.flagIsNewBlock
2253 2253 """
2254 2254
2255 2255 if self.flagNoMoreFiles:
2256 2256 self.dataOut.flagNoData = True
2257 2257 print 'Process finished'
2258 2258 return 0
2259 2259
2260 2260 self.flagTimeBlock = 0
2261 2261 self.flagIsNewBlock = 0
2262 2262
2263 2263 if self.__hasNotDataInBuffer():
2264 2264
2265 2265 if not( self.readNextBlock() ):
2266 2266 self.dataOut.flagNoData = True
2267 2267 return 0
2268 2268
2269 2269 #data es un numpy array de 3 dmensiones (perfiles, alturas y canales)
2270 2270
2271 2271 if self.data_dc == None:
2272 2272 self.dataOut.flagNoData = True
2273 2273 return 0
2274 2274
2275 2275 self.getBasicHeader()
2276 2276
2277 2277 self.getFirstHeader()
2278 2278
2279 2279 self.dataOut.data_spc = self.data_spc
2280 2280
2281 2281 self.dataOut.data_cspc = self.data_cspc
2282 2282
2283 2283 self.dataOut.data_dc = self.data_dc
2284 2284
2285 2285 self.dataOut.flagNoData = False
2286 2286
2287 2287 self.dataOut.realtime = self.online
2288 2288
2289 2289 return self.dataOut.data_spc
2290 2290
2291 2291
2292 2292 class SpectraWriter(JRODataWriter):
2293 2293
2294 2294 """
2295 2295 Esta clase permite escribir datos de espectros a archivos procesados (.pdata). La escritura
2296 2296 de los datos siempre se realiza por bloques.
2297 2297 """
2298 2298
2299 2299 ext = ".pdata"
2300 2300
2301 2301 optchar = "P"
2302 2302
2303 2303 shape_spc_Buffer = None
2304 2304
2305 2305 shape_cspc_Buffer = None
2306 2306
2307 2307 shape_dc_Buffer = None
2308 2308
2309 2309 data_spc = None
2310 2310
2311 2311 data_cspc = None
2312 2312
2313 2313 data_dc = None
2314 2314
2315 2315 # dataOut = None
2316 2316
2317 2317 def __init__(self):
2318 2318 """
2319 2319 Inicializador de la clase SpectraWriter para la escritura de datos de espectros.
2320 2320
2321 2321 Affected:
2322 2322 self.dataOut
2323 2323 self.basicHeaderObj
2324 2324 self.systemHeaderObj
2325 2325 self.radarControllerHeaderObj
2326 2326 self.processingHeaderObj
2327 2327
2328 2328 Return: None
2329 2329 """
2330 2330
2331 2331 self.isConfig = False
2332 2332
2333 2333 self.nTotalBlocks = 0
2334 2334
2335 2335 self.data_spc = None
2336 2336
2337 2337 self.data_cspc = None
2338 2338
2339 2339 self.data_dc = None
2340 2340
2341 2341 self.fp = None
2342 2342
2343 2343 self.flagIsNewFile = 1
2344 2344
2345 2345 self.nTotalBlocks = 0
2346 2346
2347 2347 self.flagIsNewBlock = 0
2348 2348
2349 2349 self.setFile = None
2350 2350
2351 2351 self.dtype = None
2352 2352
2353 2353 self.path = None
2354 2354
2355 2355 self.noMoreFiles = 0
2356 2356
2357 2357 self.filename = None
2358 2358
2359 2359 self.basicHeaderObj = BasicHeader(LOCALTIME)
2360 2360
2361 2361 self.systemHeaderObj = SystemHeader()
2362 2362
2363 2363 self.radarControllerHeaderObj = RadarControllerHeader()
2364 2364
2365 2365 self.processingHeaderObj = ProcessingHeader()
2366 2366
2367 2367
2368 2368 def hasAllDataInBuffer(self):
2369 2369 return 1
2370 2370
2371 2371
2372 2372 def setBlockDimension(self):
2373 2373 """
2374 2374 Obtiene las formas dimensionales del los subbloques de datos que componen un bloque
2375 2375
2376 2376 Affected:
2377 2377 self.shape_spc_Buffer
2378 2378 self.shape_cspc_Buffer
2379 2379 self.shape_dc_Buffer
2380 2380
2381 2381 Return: None
2382 2382 """
2383 2383 self.shape_spc_Buffer = (self.dataOut.nChannels,
2384 2384 self.processingHeaderObj.nHeights,
2385 2385 self.processingHeaderObj.profilesPerBlock)
2386 2386
2387 2387 self.shape_cspc_Buffer = (self.dataOut.nPairs,
2388 2388 self.processingHeaderObj.nHeights,
2389 2389 self.processingHeaderObj.profilesPerBlock)
2390 2390
2391 2391 self.shape_dc_Buffer = (self.dataOut.nChannels,
2392 2392 self.processingHeaderObj.nHeights)
2393 2393
2394 2394
2395 2395 def writeBlock(self):
2396 2396 """
2397 2397 Escribe el buffer en el file designado
2398 2398
2399 2399 Affected:
2400 2400 self.data_spc
2401 2401 self.data_cspc
2402 2402 self.data_dc
2403 2403 self.flagIsNewFile
2404 2404 self.flagIsNewBlock
2405 2405 self.nTotalBlocks
2406 2406 self.nWriteBlocks
2407 2407
2408 2408 Return: None
2409 2409 """
2410 2410
2411 2411 spc = numpy.transpose( self.data_spc, (0,2,1) )
2412 2412 if not( self.processingHeaderObj.shif_fft ):
2413 2413 spc = numpy.roll( spc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones
2414 2414 data = spc.reshape((-1))
2415 2415 data = data.astype(self.dtype[0])
2416 2416 data.tofile(self.fp)
2417 2417
2418 2418 if self.data_cspc != None:
2419 2419 data = numpy.zeros( self.shape_cspc_Buffer, self.dtype )
2420 2420 cspc = numpy.transpose( self.data_cspc, (0,2,1) )
2421 2421 if not( self.processingHeaderObj.shif_fft ):
2422 2422 cspc = numpy.roll( cspc, self.processingHeaderObj.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones
2423 2423 data['real'] = cspc.real
2424 2424 data['imag'] = cspc.imag
2425 2425 data = data.reshape((-1))
2426 2426 data.tofile(self.fp)
2427 2427
2428 2428 if self.data_dc != None:
2429 2429 data = numpy.zeros( self.shape_dc_Buffer, self.dtype )
2430 2430 dc = self.data_dc
2431 2431 data['real'] = dc.real
2432 2432 data['imag'] = dc.imag
2433 2433 data = data.reshape((-1))
2434 2434 data.tofile(self.fp)
2435 2435
2436 2436 self.data_spc.fill(0)
2437 2437
2438 2438 if self.data_dc != None:
2439 2439 self.data_dc.fill(0)
2440 2440
2441 2441 if self.data_cspc != None:
2442 2442 self.data_cspc.fill(0)
2443 2443
2444 2444 self.flagIsNewFile = 0
2445 2445 self.flagIsNewBlock = 1
2446 2446 self.nTotalBlocks += 1
2447 2447 self.nWriteBlocks += 1
2448 2448 self.blockIndex += 1
2449 2449
2450 2450
2451 2451 def putData(self):
2452 2452 """
2453 2453 Setea un bloque de datos y luego los escribe en un file
2454 2454
2455 2455 Affected:
2456 2456 self.data_spc
2457 2457 self.data_cspc
2458 2458 self.data_dc
2459 2459
2460 2460 Return:
2461 2461 0 : Si no hay data o no hay mas files que puedan escribirse
2462 2462 1 : Si se escribio la data de un bloque en un file
2463 2463 """
2464 2464
2465 2465 if self.dataOut.flagNoData:
2466 2466 return 0
2467 2467
2468 2468 self.flagIsNewBlock = 0
2469 2469
2470 2470 if self.dataOut.flagTimeBlock:
2471 2471 self.data_spc.fill(0)
2472 2472 self.data_cspc.fill(0)
2473 2473 self.data_dc.fill(0)
2474 2474 self.setNextFile()
2475 2475
2476 2476 if self.flagIsNewFile == 0:
2477 2477 self.setBasicHeader()
2478 2478
2479 2479 self.data_spc = self.dataOut.data_spc.copy()
2480 2480 if self.dataOut.data_cspc != None:
2481 2481 self.data_cspc = self.dataOut.data_cspc.copy()
2482 2482 self.data_dc = self.dataOut.data_dc.copy()
2483 2483
2484 2484 # #self.processingHeaderObj.dataBlocksPerFile)
2485 2485 if self.hasAllDataInBuffer():
2486 2486 # self.setFirstHeader()
2487 2487 self.writeNextBlock()
2488 2488
2489 2489 return 1
2490 2490
2491 2491
2492 2492 def __getProcessFlags(self):
2493 2493
2494 2494 processFlags = 0
2495 2495
2496 2496 dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')])
2497 2497 dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')])
2498 2498 dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')])
2499 2499 dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')])
2500 2500 dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')])
2501 2501 dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')])
2502 2502
2503 2503 dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5]
2504 2504
2505 2505
2506 2506
2507 2507 datatypeValueList = [PROCFLAG.DATATYPE_CHAR,
2508 2508 PROCFLAG.DATATYPE_SHORT,
2509 2509 PROCFLAG.DATATYPE_LONG,
2510 2510 PROCFLAG.DATATYPE_INT64,
2511 2511 PROCFLAG.DATATYPE_FLOAT,
2512 2512 PROCFLAG.DATATYPE_DOUBLE]
2513 2513
2514 2514
2515 2515 for index in range(len(dtypeList)):
2516 2516 if self.dataOut.dtype == dtypeList[index]:
2517 2517 dtypeValue = datatypeValueList[index]
2518 2518 break
2519 2519
2520 2520 processFlags += dtypeValue
2521 2521
2522 2522 if self.dataOut.flagDecodeData:
2523 2523 processFlags += PROCFLAG.DECODE_DATA
2524 2524
2525 2525 if self.dataOut.flagDeflipData:
2526 2526 processFlags += PROCFLAG.DEFLIP_DATA
2527 2527
2528 2528 if self.dataOut.code != None:
2529 2529 processFlags += PROCFLAG.DEFINE_PROCESS_CODE
2530 2530
2531 2531 if self.dataOut.nIncohInt > 1:
2532 2532 processFlags += PROCFLAG.INCOHERENT_INTEGRATION
2533 2533
2534 2534 if self.dataOut.data_dc != None:
2535 2535 processFlags += PROCFLAG.SAVE_CHANNELS_DC
2536 2536
2537 2537 return processFlags
2538 2538
2539 2539
2540 2540 def __getBlockSize(self):
2541 2541 '''
2542 2542 Este metodos determina el cantidad de bytes para un bloque de datos de tipo Spectra
2543 2543 '''
2544 2544
2545 2545 dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')])
2546 2546 dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')])
2547 2547 dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')])
2548 2548 dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')])
2549 2549 dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')])
2550 2550 dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')])
2551 2551
2552 2552 dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5]
2553 2553 datatypeValueList = [1,2,4,8,4,8]
2554 2554 for index in range(len(dtypeList)):
2555 2555 if self.dataOut.dtype == dtypeList[index]:
2556 2556 datatypeValue = datatypeValueList[index]
2557 2557 break
2558 2558
2559 2559
2560 2560 pts2write = self.dataOut.nHeights * self.dataOut.nFFTPoints
2561 2561
2562 2562 pts2write_SelfSpectra = int(self.dataOut.nChannels * pts2write)
2563 2563 blocksize = (pts2write_SelfSpectra*datatypeValue)
2564 2564
2565 2565 if self.dataOut.data_cspc != None:
2566 2566 pts2write_CrossSpectra = int(self.dataOut.nPairs * pts2write)
2567 2567 blocksize += (pts2write_CrossSpectra*datatypeValue*2)
2568 2568
2569 2569 if self.dataOut.data_dc != None:
2570 2570 pts2write_DCchannels = int(self.dataOut.nChannels * self.dataOut.nHeights)
2571 2571 blocksize += (pts2write_DCchannels*datatypeValue*2)
2572 2572
2573 2573 blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO
2574 2574
2575 2575 return blocksize
2576 2576
2577 2577 def setFirstHeader(self):
2578 2578
2579 2579 """
2580 2580 Obtiene una copia del First Header
2581 2581
2582 2582 Affected:
2583 2583 self.systemHeaderObj
2584 2584 self.radarControllerHeaderObj
2585 2585 self.dtype
2586 2586
2587 2587 Return:
2588 2588 None
2589 2589 """
2590 2590
2591 2591 self.systemHeaderObj = self.dataOut.systemHeaderObj.copy()
2592 2592 self.systemHeaderObj.nChannels = self.dataOut.nChannels
2593 2593 self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy()
2594 2594
2595 2595 self.setBasicHeader()
2596 2596
2597 2597 processingHeaderSize = 40 # bytes
2598 2598 self.processingHeaderObj.dtype = 1 # Spectra
2599 2599 self.processingHeaderObj.blockSize = self.__getBlockSize()
2600 2600 self.processingHeaderObj.profilesPerBlock = self.dataOut.nFFTPoints
2601 2601 self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile
2602 2602 self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows
2603 2603 self.processingHeaderObj.processFlags = self.__getProcessFlags()
2604 2604 self.processingHeaderObj.nCohInt = self.dataOut.nCohInt# Se requiere para determinar el valor de timeInterval
2605 2605 self.processingHeaderObj.nIncohInt = self.dataOut.nIncohInt
2606 2606 self.processingHeaderObj.totalSpectra = self.dataOut.nPairs + self.dataOut.nChannels
2607 2607 self.processingHeaderObj.shif_fft = self.dataOut.flagShiftFFT
2608 2608
2609 2609 if self.processingHeaderObj.totalSpectra > 0:
2610 2610 channelList = []
2611 2611 for channel in range(self.dataOut.nChannels):
2612 2612 channelList.append(channel)
2613 2613 channelList.append(channel)
2614 2614
2615 2615 pairsList = []
2616 2616 if self.dataOut.nPairs > 0:
2617 2617 for pair in self.dataOut.pairsList:
2618 2618 pairsList.append(pair[0])
2619 2619 pairsList.append(pair[1])
2620 2620
2621 2621 spectraComb = channelList + pairsList
2622 2622 spectraComb = numpy.array(spectraComb,dtype="u1")
2623 2623 self.processingHeaderObj.spectraComb = spectraComb
2624 2624 sizeOfSpcComb = len(spectraComb)
2625 2625 processingHeaderSize += sizeOfSpcComb
2626 2626
2627 2627 # The processing header should not have information about code
2628 2628 # if self.dataOut.code != None:
2629 2629 # self.processingHeaderObj.code = self.dataOut.code
2630 2630 # self.processingHeaderObj.nCode = self.dataOut.nCode
2631 2631 # self.processingHeaderObj.nBaud = self.dataOut.nBaud
2632 2632 # nCodeSize = 4 # bytes
2633 2633 # nBaudSize = 4 # bytes
2634 2634 # codeSize = 4 # bytes
2635 2635 # sizeOfCode = int(nCodeSize + nBaudSize + codeSize * self.dataOut.nCode * self.dataOut.nBaud)
2636 2636 # processingHeaderSize += sizeOfCode
2637 2637
2638 2638 if self.processingHeaderObj.nWindows != 0:
2639 2639 self.processingHeaderObj.firstHeight = self.dataOut.heightList[0]
2640 2640 self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0]
2641 2641 self.processingHeaderObj.nHeights = self.dataOut.nHeights
2642 2642 self.processingHeaderObj.samplesWin = self.dataOut.nHeights
2643 2643 sizeOfFirstHeight = 4
2644 2644 sizeOfdeltaHeight = 4
2645 2645 sizeOfnHeights = 4
2646 2646 sizeOfWindows = (sizeOfFirstHeight + sizeOfdeltaHeight + sizeOfnHeights)*self.processingHeaderObj.nWindows
2647 2647 processingHeaderSize += sizeOfWindows
2648 2648
2649 2649 self.processingHeaderObj.size = processingHeaderSize
2650 2650
2651 2651 class SpectraHeisWriter(Operation):
2652 2652 # set = None
2653 2653 setFile = None
2654 2654 idblock = None
2655 2655 doypath = None
2656 2656 subfolder = None
2657 2657
2658 2658 def __init__(self):
2659 2659 self.wrObj = FITS()
2660 2660 # self.dataOut = dataOut
2661 2661 self.nTotalBlocks=0
2662 2662 # self.set = None
2663 2663 self.setFile = None
2664 2664 self.idblock = 0
2665 2665 self.wrpath = None
2666 2666 self.doypath = None
2667 2667 self.subfolder = None
2668 2668 self.isConfig = False
2669 2669
2670 2670 def isNumber(str):
2671 2671 """
2672 2672 Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero.
2673 2673
2674 2674 Excepciones:
2675 2675 Si un determinado string no puede ser convertido a numero
2676 2676 Input:
2677 2677 str, string al cual se le analiza para determinar si convertible a un numero o no
2678 2678
2679 2679 Return:
2680 2680 True : si el string es uno numerico
2681 2681 False : no es un string numerico
2682 2682 """
2683 2683 try:
2684 2684 float( str )
2685 2685 return True
2686 2686 except:
2687 2687 return False
2688 2688
2689 2689 def setup(self, dataOut, wrpath):
2690 2690
2691 2691 if not(os.path.exists(wrpath)):
2692 2692 os.mkdir(wrpath)
2693 2693
2694 2694 self.wrpath = wrpath
2695 2695 # self.setFile = 0
2696 2696 self.dataOut = dataOut
2697 2697
2698 2698 def putData(self):
2699 2699 name= time.localtime( self.dataOut.utctime)
2700 2700 ext=".fits"
2701 2701
2702 2702 if self.doypath == None:
2703 2703 self.subfolder = 'F%4.4d%3.3d_%d' % (name.tm_year,name.tm_yday,time.mktime(datetime.datetime.now().timetuple()))
2704 2704 self.doypath = os.path.join( self.wrpath, self.subfolder )
2705 2705 os.mkdir(self.doypath)
2706 2706
2707 2707 if self.setFile == None:
2708 2708 # self.set = self.dataOut.set
2709 2709 self.setFile = 0
2710 2710 # if self.set != self.dataOut.set:
2711 2711 ## self.set = self.dataOut.set
2712 2712 # self.setFile = 0
2713 2713
2714 2714 #make the filename
2715 2715 file = 'D%4.4d%3.3d_%3.3d%s' % (name.tm_year,name.tm_yday,self.setFile,ext)
2716 2716
2717 2717 filename = os.path.join(self.wrpath,self.subfolder, file)
2718 2718
2719 2719 idblock = numpy.array([self.idblock],dtype="int64")
2720 2720 header=self.wrObj.cFImage(idblock=idblock,
2721 2721 year=time.gmtime(self.dataOut.utctime).tm_year,
2722 2722 month=time.gmtime(self.dataOut.utctime).tm_mon,
2723 2723 day=time.gmtime(self.dataOut.utctime).tm_mday,
2724 2724 hour=time.gmtime(self.dataOut.utctime).tm_hour,
2725 2725 minute=time.gmtime(self.dataOut.utctime).tm_min,
2726 2726 second=time.gmtime(self.dataOut.utctime).tm_sec)
2727 2727
2728 2728 c=3E8
2729 2729 deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0]
2730 2730 freq=numpy.arange(-1*self.dataOut.nHeights/2.,self.dataOut.nHeights/2.)*(c/(2*deltaHeight*1000))
2731 2731
2732 2732 colList = []
2733 2733
2734 2734 colFreq=self.wrObj.setColF(name="freq", format=str(self.dataOut.nFFTPoints)+'E', array=freq)
2735 2735
2736 2736 colList.append(colFreq)
2737 2737
2738 2738 nchannel=self.dataOut.nChannels
2739 2739
2740 2740 for i in range(nchannel):
2741 2741 col = self.wrObj.writeData(name="PCh"+str(i+1),
2742 2742 format=str(self.dataOut.nFFTPoints)+'E',
2743 2743 data=10*numpy.log10(self.dataOut.data_spc[i,:]))
2744 2744
2745 2745 colList.append(col)
2746 2746
2747 2747 data=self.wrObj.Ctable(colList=colList)
2748 2748
2749 2749 self.wrObj.CFile(header,data)
2750 2750
2751 2751 self.wrObj.wFile(filename)
2752 2752
2753 2753 #update the setFile
2754 2754 self.setFile += 1
2755 2755 self.idblock += 1
2756 2756
2757 2757 return 1
2758 2758
2759 2759 def run(self, dataOut, **kwargs):
2760 2760
2761 2761 if not(self.isConfig):
2762 2762
2763 2763 self.setup(dataOut, **kwargs)
2764 2764 self.isConfig = True
2765 2765
2766 2766 self.putData()
2767 2767
2768 2768
2769 2769
2770 2770 class ParameterConf:
2771 2771 ELEMENTNAME = 'Parameter'
2772 2772 def __init__(self):
2773 2773 self.name = ''
2774 2774 self.value = ''
2775 2775
2776 2776 def readXml(self, parmElement):
2777 2777 self.name = parmElement.get('name')
2778 2778 self.value = parmElement.get('value')
2779 2779
2780 2780 def getElementName(self):
2781 2781 return self.ELEMENTNAME
2782 2782
2783 2783 class Metadata:
2784 2784
2785 2785 def __init__(self, filename):
2786 2786 self.parmConfObjList = []
2787 2787 self.readXml(filename)
2788 2788
2789 2789 def readXml(self, filename):
2790 2790 self.projectElement = None
2791 2791 self.procUnitConfObjDict = {}
2792 2792 self.projectElement = ElementTree().parse(filename)
2793 2793 self.project = self.projectElement.tag
2794 2794
2795 2795 parmElementList = self.projectElement.getiterator(ParameterConf().getElementName())
2796 2796
2797 2797 for parmElement in parmElementList:
2798 2798 parmConfObj = ParameterConf()
2799 2799 parmConfObj.readXml(parmElement)
2800 2800 self.parmConfObjList.append(parmConfObj)
2801 2801
2802 2802 class FitsWriter(Operation):
2803 2803
2804 2804 def __init__(self):
2805 2805 self.isConfig = False
2806 2806 self.dataBlocksPerFile = None
2807 2807 self.blockIndex = 0
2808 2808 self.flagIsNewFile = 1
2809 2809 self.fitsObj = None
2810 2810 self.optchar = 'P'
2811 2811 self.ext = '.fits'
2812 2812 self.setFile = 0
2813 2813
2814 2814 def setFitsHeader(self, dataOut, metadatafile):
2815 2815
2816 2816 header_data = pyfits.PrimaryHDU()
2817 2817
2818 2818 metadata4fits = Metadata(metadatafile)
2819 2819 for parameter in metadata4fits.parmConfObjList:
2820 2820 parm_name = parameter.name
2821 2821 parm_value = parameter.value
2822 2822
2823 2823 # if parm_value == 'fromdatadatetime':
2824 2824 # value = time.strftime("%b %d %Y %H:%M:%S", dataOut.datatime.timetuple())
2825 2825 # elif parm_value == 'fromdataheights':
2826 2826 # value = dataOut.nHeights
2827 2827 # elif parm_value == 'fromdatachannel':
2828 2828 # value = dataOut.nChannels
2829 2829 # elif parm_value == 'fromdatasamples':
2830 2830 # value = dataOut.nFFTPoints
2831 2831 # else:
2832 2832 # value = parm_value
2833 2833
2834 2834 header_data.header[parm_name] = parm_value
2835 2835
2836 2836
2837 2837 header_data.header['DATETIME'] = time.strftime("%b %d %Y %H:%M:%S", dataOut.datatime.timetuple())
2838 2838 header_data.header['CHANNELLIST'] = str(dataOut.channelList)
2839 2839 header_data.header['NCHANNELS'] = dataOut.nChannels
2840 2840 #header_data.header['HEIGHTS'] = dataOut.heightList
2841 2841 header_data.header['NHEIGHTS'] = dataOut.nHeights
2842 2842
2843 2843 header_data.header['IPPSECONDS'] = dataOut.ippSeconds
2844 2844 header_data.header['NCOHINT'] = dataOut.nCohInt
2845 2845 header_data.header['NINCOHINT'] = dataOut.nIncohInt
2846 2846 header_data.header['TIMEZONE'] = dataOut.timeZone
2847 2847 header_data.header['NBLOCK'] = self.blockIndex
2848 2848
2849 2849 header_data.writeto(self.filename)
2850 2850
2851 2851 self.addExtension(dataOut.heightList,'HEIGHTLIST')
2852 2852
2853 2853
2854 2854 def setup(self, dataOut, path, dataBlocksPerFile, metadatafile):
2855 2855
2856 2856 self.path = path
2857 2857 self.dataOut = dataOut
2858 2858 self.metadatafile = metadatafile
2859 2859 self.dataBlocksPerFile = dataBlocksPerFile
2860 2860
2861 2861 def open(self):
2862 2862 self.fitsObj = pyfits.open(self.filename, mode='update')
2863 2863
2864 2864
2865 2865 def addExtension(self, data, tagname):
2866 2866 self.open()
2867 2867 extension = pyfits.ImageHDU(data=data, name=tagname)
2868 2868 #extension.header['TAG'] = tagname
2869 2869 self.fitsObj.append(extension)
2870 2870 self.write()
2871 2871
2872 2872 def addData(self, data):
2873 2873 self.open()
2874 2874 extension = pyfits.ImageHDU(data=data, name=self.fitsObj[0].header['DATATYPE'])
2875 2875 extension.header['UTCTIME'] = self.dataOut.utctime
2876 2876 self.fitsObj.append(extension)
2877 2877 self.blockIndex += 1
2878 2878 self.fitsObj[0].header['NBLOCK'] = self.blockIndex
2879 2879
2880 2880 self.write()
2881 2881
2882 2882 def write(self):
2883 2883
2884 2884 self.fitsObj.flush(verbose=True)
2885 2885 self.fitsObj.close()
2886 2886
2887 2887
2888 2888 def setNextFile(self):
2889 2889
2890 2890 ext = self.ext
2891 2891 path = self.path
2892 2892
2893 2893 timeTuple = time.localtime( self.dataOut.utctime)
2894 2894 subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday)
2895 2895
2896 2896 fullpath = os.path.join( path, subfolder )
2897 2897 if not( os.path.exists(fullpath) ):
2898 2898 os.mkdir(fullpath)
2899 2899 self.setFile = -1 #inicializo mi contador de seteo
2900 2900 else:
2901 2901 filesList = os.listdir( fullpath )
2902 2902 if len( filesList ) > 0:
2903 2903 filesList = sorted( filesList, key=str.lower )
2904 2904 filen = filesList[-1]
2905 2905
2906 2906 if isNumber( filen[8:11] ):
2907 2907 self.setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file
2908 2908 else:
2909 2909 self.setFile = -1
2910 2910 else:
2911 2911 self.setFile = -1 #inicializo mi contador de seteo
2912 2912
2913 2913 setFile = self.setFile
2914 2914 setFile += 1
2915 2915
2916 2916 file = '%s%4.4d%3.3d%3.3d%s' % (self.optchar,
2917 2917 timeTuple.tm_year,
2918 2918 timeTuple.tm_yday,
2919 2919 setFile,
2920 2920 ext )
2921 2921
2922 2922 filename = os.path.join( path, subfolder, file )
2923 2923
2924 2924 self.blockIndex = 0
2925 2925 self.filename = filename
2926 2926 self.setFile = setFile
2927 2927 self.flagIsNewFile = 1
2928 2928
2929 2929 print 'Writing the file: %s'%self.filename
2930 2930
2931 2931 self.setFitsHeader(self.dataOut, self.metadatafile)
2932 2932
2933 2933 return 1
2934 2934
2935 2935 def writeBlock(self):
2936 2936 self.addData(self.dataOut.data_spc)
2937 2937 self.flagIsNewFile = 0
2938 2938
2939 2939
2940 2940 def __setNewBlock(self):
2941 2941
2942 2942 if self.flagIsNewFile:
2943 2943 return 1
2944 2944
2945 2945 if self.blockIndex < self.dataBlocksPerFile:
2946 2946 return 1
2947 2947
2948 2948 if not( self.setNextFile() ):
2949 2949 return 0
2950 2950
2951 2951 return 1
2952 2952
2953 2953 def writeNextBlock(self):
2954 2954 if not( self.__setNewBlock() ):
2955 2955 return 0
2956 2956 self.writeBlock()
2957 2957 return 1
2958 2958
2959 2959 def putData(self):
2960 2960 if self.flagIsNewFile:
2961 2961 self.setNextFile()
2962 2962 self.writeNextBlock()
2963 2963
2964 2964 def run(self, dataOut, **kwargs):
2965 2965 if not(self.isConfig):
2966 2966 self.setup(dataOut, **kwargs)
2967 2967 self.isConfig = True
2968 2968 self.putData()
2969 2969
2970 2970
2971 2971 class FitsReader(ProcessingUnit):
2972 2972
2973 2973 # __TIMEZONE = time.timezone
2974 2974
2975 2975 expName = None
2976 2976 datetimestr = None
2977 2977 utc = None
2978 2978 nChannels = None
2979 2979 nSamples = None
2980 2980 dataBlocksPerFile = None
2981 2981 comments = None
2982 2982 lastUTTime = None
2983 2983 header_dict = None
2984 2984 data = None
2985 2985 data_header_dict = None
2986 2986
2987 2987 def __init__(self):
2988 2988 self.isConfig = False
2989 2989 self.ext = '.fits'
2990 2990 self.setFile = 0
2991 2991 self.flagNoMoreFiles = 0
2992 2992 self.flagIsNewFile = 1
2993 2993 self.flagTimeBlock = None
2994 2994 self.fileIndex = None
2995 2995 self.filename = None
2996 2996 self.fileSize = None
2997 2997 self.fitsObj = None
2998 2998 self.timeZone = None
2999 2999 self.nReadBlocks = 0
3000 3000 self.nTotalBlocks = 0
3001 3001 self.dataOut = self.createObjByDefault()
3002 3002 self.maxTimeStep = 10# deberia ser definido por el usuario usando el metodo setup()
3003 3003 self.blockIndex = 1
3004 3004
3005 3005 def createObjByDefault(self):
3006 3006
3007 3007 dataObj = Fits()
3008 3008
3009 3009 return dataObj
3010 3010
3011 3011 def isFileinThisTime(self, filename, startTime, endTime, useLocalTime=False):
3012 3012 try:
3013 3013 fitsObj = pyfits.open(filename,'readonly')
3014 3014 except:
3015 3015 raise IOError, "The file %s can't be opened" %(filename)
3016 3016
3017 3017 header = fitsObj[0].header
3018 3018 struct_time = time.strptime(header['DATETIME'], "%b %d %Y %H:%M:%S")
3019 3019 utc = time.mktime(struct_time) - time.timezone #TIMEZONE debe ser un parametro del header FITS
3020 3020
3021 3021 ltc = utc
3022 3022 if useLocalTime:
3023 3023 ltc -= time.timezone
3024 3024 thisDatetime = datetime.datetime.utcfromtimestamp(ltc)
3025 3025 thisTime = thisDatetime.time()
3026 3026
3027 3027 if not ((startTime <= thisTime) and (endTime > thisTime)):
3028 3028 return None
3029 3029
3030 3030 return thisDatetime
3031 3031
3032 3032 def __setNextFileOnline(self):
3033 3033 raise ValueError, "No implemented"
3034 3034
3035 3035 def __setNextFileOffline(self):
3036 3036 idFile = self.fileIndex
3037 3037
3038 3038 while (True):
3039 3039 idFile += 1
3040 3040 if not(idFile < len(self.filenameList)):
3041 3041 self.flagNoMoreFiles = 1
3042 3042 print "No more Files"
3043 3043 return 0
3044 3044
3045 3045 filename = self.filenameList[idFile]
3046 3046
3047 3047 # if not(self.__verifyFile(filename)):
3048 3048 # continue
3049 3049
3050 3050 fileSize = os.path.getsize(filename)
3051 3051 fitsObj = pyfits.open(filename,'readonly')
3052 3052 break
3053 3053
3054 3054 self.flagIsNewFile = 1
3055 3055 self.fileIndex = idFile
3056 3056 self.filename = filename
3057 3057 self.fileSize = fileSize
3058 3058 self.fitsObj = fitsObj
3059 3059 self.blockIndex = 0
3060 3060 print "Setting the file: %s"%self.filename
3061 3061
3062 3062 return 1
3063 3063
3064 3064 def readHeader(self):
3065 3065 headerObj = self.fitsObj[0]
3066 3066
3067 3067 self.header_dict = headerObj.header
3068 3068 if 'EXPNAME' in headerObj.header.keys():
3069 3069 self.expName = headerObj.header['EXPNAME']
3070 3070
3071 3071 if 'DATATYPE' in headerObj.header.keys():
3072 3072 self.dataType = headerObj.header['DATATYPE']
3073 3073
3074 3074 self.datetimestr = headerObj.header['DATETIME']
3075 self.channelList = headerObj.header['CHANNELLIST']
3075 channelList = headerObj.header['CHANNELLIST']
3076 channelList = channelList.split('[')
3077 channelList = channelList[1].split(']')
3078 channelList = channelList[0].split(',')
3079 channelList = [int(ch) for ch in channelList]
3080 self.channelList = channelList
3076 3081 self.nChannels = headerObj.header['NCHANNELS']
3077 3082 self.nHeights = headerObj.header['NHEIGHTS']
3078 3083 self.ippSeconds = headerObj.header['IPPSECONDS']
3079 3084 self.nCohInt = headerObj.header['NCOHINT']
3080 3085 self.nIncohInt = headerObj.header['NINCOHINT']
3081 3086 self.dataBlocksPerFile = headerObj.header['NBLOCK']
3082 3087 self.timeZone = headerObj.header['TIMEZONE']
3083 3088
3084 3089 self.timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt
3085 3090
3086 3091 if 'COMMENT' in headerObj.header.keys():
3087 3092 self.comments = headerObj.header['COMMENT']
3088 3093
3089 3094 self.readHeightList()
3090 3095
3091 3096 def readHeightList(self):
3092 3097 self.blockIndex = self.blockIndex + 1
3093 3098 obj = self.fitsObj[self.blockIndex]
3094 3099 self.heightList = obj.data
3095 3100 self.blockIndex = self.blockIndex + 1
3096 3101
3097 3102 def readExtension(self):
3098 3103 obj = self.fitsObj[self.blockIndex]
3099 3104 self.heightList = obj.data
3100 3105 self.blockIndex = self.blockIndex + 1
3101 3106
3102 3107 def setNextFile(self):
3103 3108
3104 3109 if self.online:
3105 3110 newFile = self.__setNextFileOnline()
3106 3111 else:
3107 3112 newFile = self.__setNextFileOffline()
3108 3113
3109 3114 if not(newFile):
3110 3115 return 0
3111 3116
3112 3117 self.readHeader()
3113 3118
3114 3119 self.nReadBlocks = 0
3115 3120 # self.blockIndex = 1
3116 3121 return 1
3117 3122
3118 3123 def __searchFilesOffLine(self,
3119 3124 path,
3120 3125 startDate,
3121 3126 endDate,
3122 3127 startTime=datetime.time(0,0,0),
3123 3128 endTime=datetime.time(23,59,59),
3124 3129 set=None,
3125 3130 expLabel='',
3126 3131 ext='.fits',
3127 3132 walk=True):
3128 3133
3129 3134 pathList = []
3130 3135
3131 3136 if not walk:
3132 3137 pathList.append(path)
3133 3138
3134 3139 else:
3135 3140 dirList = []
3136 3141 for thisPath in os.listdir(path):
3137 3142 if not os.path.isdir(os.path.join(path,thisPath)):
3138 3143 continue
3139 3144 if not isDoyFolder(thisPath):
3140 3145 continue
3141 3146
3142 3147 dirList.append(thisPath)
3143 3148
3144 3149 if not(dirList):
3145 3150 return None, None
3146 3151
3147 3152 thisDate = startDate
3148 3153
3149 3154 while(thisDate <= endDate):
3150 3155 year = thisDate.timetuple().tm_year
3151 3156 doy = thisDate.timetuple().tm_yday
3152 3157
3153 3158 matchlist = fnmatch.filter(dirList, '?' + '%4.4d%3.3d' % (year,doy) + '*')
3154 3159 if len(matchlist) == 0:
3155 3160 thisDate += datetime.timedelta(1)
3156 3161 continue
3157 3162 for match in matchlist:
3158 3163 pathList.append(os.path.join(path,match,expLabel))
3159 3164
3160 3165 thisDate += datetime.timedelta(1)
3161 3166
3162 3167 if pathList == []:
3163 3168 print "Any folder was found for the date range: %s-%s" %(startDate, endDate)
3164 3169 return None, None
3165 3170
3166 3171 print "%d folder(s) was(were) found for the date range: %s - %s" %(len(pathList), startDate, endDate)
3167 3172
3168 3173 filenameList = []
3169 3174 datetimeList = []
3170 3175
3171 3176 for i in range(len(pathList)):
3172 3177
3173 3178 thisPath = pathList[i]
3174 3179
3175 3180 fileList = glob.glob1(thisPath, "*%s" %ext)
3176 3181 fileList.sort()
3177 3182
3178 3183 for file in fileList:
3179 3184
3180 3185 filename = os.path.join(thisPath,file)
3181 3186 thisDatetime = self.isFileinThisTime(filename, startTime, endTime)
3182 3187
3183 3188 if not(thisDatetime):
3184 3189 continue
3185 3190
3186 3191 filenameList.append(filename)
3187 3192 datetimeList.append(thisDatetime)
3188 3193
3189 3194 if not(filenameList):
3190 3195 print "Any file was found for the time range %s - %s" %(startTime, endTime)
3191 3196 return None, None
3192 3197
3193 3198 print "%d file(s) was(were) found for the time range: %s - %s" %(len(filenameList), startTime, endTime)
3194 3199 print
3195 3200
3196 3201 for i in range(len(filenameList)):
3197 3202 print "%s -> [%s]" %(filenameList[i], datetimeList[i].ctime())
3198 3203
3199 3204 self.filenameList = filenameList
3200 3205 self.datetimeList = datetimeList
3201 3206
3202 3207 return pathList, filenameList
3203 3208
3204 3209 def setup(self, path=None,
3205 3210 startDate=None,
3206 3211 endDate=None,
3207 3212 startTime=datetime.time(0,0,0),
3208 3213 endTime=datetime.time(23,59,59),
3209 3214 set=0,
3210 3215 expLabel = "",
3211 3216 ext = None,
3212 3217 online = False,
3213 3218 delay = 60,
3214 3219 walk = True):
3215 3220
3216 3221 if path == None:
3217 3222 raise ValueError, "The path is not valid"
3218 3223
3219 3224 if ext == None:
3220 3225 ext = self.ext
3221 3226
3222 3227 if not(online):
3223 3228 print "Searching files in offline mode ..."
3224 3229 pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate,
3225 3230 startTime=startTime, endTime=endTime,
3226 3231 set=set, expLabel=expLabel, ext=ext,
3227 3232 walk=walk)
3228 3233
3229 3234 if not(pathList):
3230 3235 print "No *%s files into the folder %s \nfor the range: %s - %s"%(ext, path,
3231 3236 datetime.datetime.combine(startDate,startTime).ctime(),
3232 3237 datetime.datetime.combine(endDate,endTime).ctime())
3233 3238
3234 3239 sys.exit(-1)
3235 3240
3236 3241 self.fileIndex = -1
3237 3242 self.pathList = pathList
3238 3243 self.filenameList = filenameList
3239 3244
3240 3245 self.online = online
3241 3246 self.delay = delay
3242 3247 ext = ext.lower()
3243 3248 self.ext = ext
3244 3249
3245 3250 if not(self.setNextFile()):
3246 3251 if (startDate!=None) and (endDate!=None):
3247 3252 print "No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime())
3248 3253 elif startDate != None:
3249 3254 print "No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime())
3250 3255 else:
3251 3256 print "No files"
3252 3257
3253 3258 sys.exit(-1)
3254 3259
3255 3260
3256 3261
3257 3262 def readBlock(self):
3258 3263 dataObj = self.fitsObj[self.blockIndex]
3259 3264
3260 3265 self.data = dataObj.data
3261 3266 self.data_header_dict = dataObj.header
3262 3267 self.utc = self.data_header_dict['UTCTIME']
3263 3268
3264 3269 self.flagIsNewFile = 0
3265 3270 self.blockIndex += 1
3266 3271 self.nTotalBlocks += 1
3267 3272 self.nReadBlocks += 1
3268 3273
3269 3274 return 1
3270 3275
3271 3276 def __jumpToLastBlock(self):
3272 3277 raise ValueError, "No implemented"
3273 3278
3274 3279 def __waitNewBlock(self):
3275 3280 """
3276 3281 Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma.
3277 3282
3278 3283 Si el modo de lectura es OffLine siempre retorn 0
3279 3284 """
3280 3285 if not self.online:
3281 3286 return 0
3282 3287
3283 3288 if (self.nReadBlocks >= self.dataBlocksPerFile):
3284 3289 return 0
3285 3290
3286 3291 currentPointer = self.fp.tell()
3287 3292
3288 3293 neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize
3289 3294
3290 3295 for nTries in range( self.nTries ):
3291 3296
3292 3297 self.fp.close()
3293 3298 self.fp = open( self.filename, 'rb' )
3294 3299 self.fp.seek( currentPointer )
3295 3300
3296 3301 self.fileSize = os.path.getsize( self.filename )
3297 3302 currentSize = self.fileSize - currentPointer
3298 3303
3299 3304 if ( currentSize >= neededSize ):
3300 3305 self.__rdBasicHeader()
3301 3306 return 1
3302 3307
3303 3308 print "\tWaiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1)
3304 3309 time.sleep( self.delay )
3305 3310
3306 3311
3307 3312 return 0
3308 3313
3309 3314 def __setNewBlock(self):
3310 3315
3311 3316 if self.online:
3312 3317 self.__jumpToLastBlock()
3313 3318
3314 3319 if self.flagIsNewFile:
3315 3320 return 1
3316 3321
3317 3322 self.lastUTTime = self.utc
3318 3323
3319 3324 if self.online:
3320 3325 if self.__waitNewBlock():
3321 3326 return 1
3322 3327
3323 3328 if self.nReadBlocks < self.dataBlocksPerFile:
3324 3329 return 1
3325 3330
3326 3331 if not(self.setNextFile()):
3327 3332 return 0
3328 3333
3329 3334 deltaTime = self.utc - self.lastUTTime
3330 3335
3331 3336 self.flagTimeBlock = 0
3332 3337
3333 3338 if deltaTime > self.maxTimeStep:
3334 3339 self.flagTimeBlock = 1
3335 3340
3336 3341 return 1
3337 3342
3338 3343
3339 3344 def readNextBlock(self):
3340 3345 if not(self.__setNewBlock()):
3341 3346 return 0
3342 3347
3343 3348 if not(self.readBlock()):
3344 3349 return 0
3345 3350
3346 3351 return 1
3347 3352
3348 3353
3349 3354 def getData(self):
3350 3355
3351 3356 if self.flagNoMoreFiles:
3352 3357 self.dataOut.flagNoData = True
3353 3358 print 'Process finished'
3354 3359 return 0
3355 3360
3356 3361 self.flagTimeBlock = 0
3357 3362 self.flagIsNewBlock = 0
3358 3363
3359 3364 if not(self.readNextBlock()):
3360 3365 return 0
3361 3366
3362 3367 if self.data == None:
3363 3368 self.dataOut.flagNoData = True
3364 3369 return 0
3365 3370
3366 3371 self.dataOut.data = self.data
3367 3372 self.dataOut.data_header = self.data_header_dict
3368 3373 self.dataOut.utctime = self.utc
3369 3374
3370 3375 self.dataOut.header = self.header_dict
3371 3376 self.dataOut.expName = self.expName
3372 3377 self.dataOut.nChannels = self.nChannels
3373 3378 self.dataOut.timeZone = self.timeZone
3374 3379 self.dataOut.dataBlocksPerFile = self.dataBlocksPerFile
3375 3380 self.dataOut.comments = self.comments
3376 3381 self.dataOut.timeInterval = self.timeInterval
3377 3382 self.dataOut.channelList = self.channelList
3378 3383 self.dataOut.heightList = self.heightList
3379 3384 self.dataOut.flagNoData = False
3380 3385
3381 3386 return self.dataOut.data
3382 3387
3383 3388 def run(self, **kwargs):
3384 3389
3385 3390 if not(self.isConfig):
3386 3391 self.setup(**kwargs)
3387 3392 self.isConfig = True
3388 3393
3389 3394 self.getData() No newline at end of file
Show file before | Show file after | Hide comments
@@ -1,1515 +1,1515
1 1 import numpy
2 2 import time, datetime, os
3 3 from graphics.figure import *
4 4 def isRealtime(utcdatatime):
5 5 utcnow = time.mktime(time.localtime())
6 6 delta = abs(utcnow - utcdatatime) # abs
7 7 if delta >= 30.:
8 8 return False
9 9 return True
10 10
11 11 class CrossSpectraPlot(Figure):
12 12
13 13 __isConfig = None
14 14 __nsubplots = None
15 15
16 16 WIDTH = None
17 17 HEIGHT = None
18 18 WIDTHPROF = None
19 19 HEIGHTPROF = None
20 20 PREFIX = 'cspc'
21 21
22 22 def __init__(self):
23 23
24 24 self.__isConfig = False
25 25 self.__nsubplots = 4
26 26 self.counter_imagwr = 0
27 27 self.WIDTH = 250
28 28 self.HEIGHT = 250
29 29 self.WIDTHPROF = 0
30 30 self.HEIGHTPROF = 0
31 31
32 32 self.PLOT_CODE = 1
33 33 self.FTP_WEI = None
34 34 self.EXP_CODE = None
35 35 self.SUB_EXP_CODE = None
36 36 self.PLOT_POS = None
37 37
38 38 def getSubplots(self):
39 39
40 40 ncol = 4
41 41 nrow = self.nplots
42 42
43 43 return nrow, ncol
44 44
45 45 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
46 46
47 47 self.__showprofile = showprofile
48 48 self.nplots = nplots
49 49
50 50 ncolspan = 1
51 51 colspan = 1
52 52
53 53 self.createFigure(id = id,
54 54 wintitle = wintitle,
55 55 widthplot = self.WIDTH + self.WIDTHPROF,
56 56 heightplot = self.HEIGHT + self.HEIGHTPROF,
57 57 show=True)
58 58
59 59 nrow, ncol = self.getSubplots()
60 60
61 61 counter = 0
62 62 for y in range(nrow):
63 63 for x in range(ncol):
64 64 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
65 65
66 66 counter += 1
67 67
68 68 def run(self, dataOut, id, wintitle="", pairsList=None,
69 69 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
70 70 save=False, figpath='./', figfile=None, ftp=False, wr_period=1,
71 71 power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True,
72 72 server=None, folder=None, username=None, password=None,
73 73 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
74 74
75 75 """
76 76
77 77 Input:
78 78 dataOut :
79 79 id :
80 80 wintitle :
81 81 channelList :
82 82 showProfile :
83 83 xmin : None,
84 84 xmax : None,
85 85 ymin : None,
86 86 ymax : None,
87 87 zmin : None,
88 88 zmax : None
89 89 """
90 90
91 91 if pairsList == None:
92 92 pairsIndexList = dataOut.pairsIndexList
93 93 else:
94 94 pairsIndexList = []
95 95 for pair in pairsList:
96 96 if pair not in dataOut.pairsList:
97 97 raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair)
98 98 pairsIndexList.append(dataOut.pairsList.index(pair))
99 99
100 100 if pairsIndexList == []:
101 101 return
102 102
103 103 if len(pairsIndexList) > 4:
104 104 pairsIndexList = pairsIndexList[0:4]
105 105 factor = dataOut.normFactor
106 106 x = dataOut.getVelRange(1)
107 107 y = dataOut.getHeiRange()
108 108 z = dataOut.data_spc[:,:,:]/factor
109 109 # z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
110 110 avg = numpy.abs(numpy.average(z, axis=1))
111 111 noise = dataOut.getNoise()/factor
112 112
113 113 zdB = 10*numpy.log10(z)
114 114 avgdB = 10*numpy.log10(avg)
115 115 noisedB = 10*numpy.log10(noise)
116 116
117 117
118 118 #thisDatetime = dataOut.datatime
119 119 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
120 120 title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
121 121 xlabel = "Velocity (m/s)"
122 122 ylabel = "Range (Km)"
123 123
124 124 if not self.__isConfig:
125 125
126 126 nplots = len(pairsIndexList)
127 127
128 128 self.setup(id=id,
129 129 nplots=nplots,
130 130 wintitle=wintitle,
131 131 showprofile=False,
132 132 show=show)
133 133
134 134 if xmin == None: xmin = numpy.nanmin(x)
135 135 if xmax == None: xmax = numpy.nanmax(x)
136 136 if ymin == None: ymin = numpy.nanmin(y)
137 137 if ymax == None: ymax = numpy.nanmax(y)
138 138 if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
139 139 if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
140 140
141 141 self.FTP_WEI = ftp_wei
142 142 self.EXP_CODE = exp_code
143 143 self.SUB_EXP_CODE = sub_exp_code
144 144 self.PLOT_POS = plot_pos
145 145
146 146 self.__isConfig = True
147 147
148 148 self.setWinTitle(title)
149 149
150 150 for i in range(self.nplots):
151 151 pair = dataOut.pairsList[pairsIndexList[i]]
152 152 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
153 153 title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[pair[0]], str_datetime)
154 154 zdB = 10.*numpy.log10(dataOut.data_spc[pair[0],:,:]/factor)
155 155 axes0 = self.axesList[i*self.__nsubplots]
156 156 axes0.pcolor(x, y, zdB,
157 157 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
158 158 xlabel=xlabel, ylabel=ylabel, title=title,
159 159 ticksize=9, colormap=power_cmap, cblabel='')
160 160
161 161 title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[pair[1]], str_datetime)
162 162 zdB = 10.*numpy.log10(dataOut.data_spc[pair[1],:,:]/factor)
163 163 axes0 = self.axesList[i*self.__nsubplots+1]
164 164 axes0.pcolor(x, y, zdB,
165 165 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
166 166 xlabel=xlabel, ylabel=ylabel, title=title,
167 167 ticksize=9, colormap=power_cmap, cblabel='')
168 168
169 169 coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:])
170 170 coherence = numpy.abs(coherenceComplex)
171 171 # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi
172 172 phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi
173 173
174 174 title = "Coherence %d%d" %(pair[0], pair[1])
175 175 axes0 = self.axesList[i*self.__nsubplots+2]
176 176 axes0.pcolor(x, y, coherence,
177 177 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=0, zmax=1,
178 178 xlabel=xlabel, ylabel=ylabel, title=title,
179 179 ticksize=9, colormap=coherence_cmap, cblabel='')
180 180
181 181 title = "Phase %d%d" %(pair[0], pair[1])
182 182 axes0 = self.axesList[i*self.__nsubplots+3]
183 183 axes0.pcolor(x, y, phase,
184 184 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180,
185 185 xlabel=xlabel, ylabel=ylabel, title=title,
186 186 ticksize=9, colormap=phase_cmap, cblabel='')
187 187
188 188
189 189
190 190 self.draw()
191 191
192 192 if save:
193 193
194 194 self.counter_imagwr += 1
195 195 if (self.counter_imagwr==wr_period):
196 196 if figfile == None:
197 197 str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
198 198 figfile = self.getFilename(name = str_datetime)
199 199
200 200 self.saveFigure(figpath, figfile)
201 201
202 202 if ftp:
203 203 #provisionalmente envia archivos en el formato de la web en tiempo real
204 204 name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
205 205 path = '%s%03d' %(self.PREFIX, self.id)
206 206 ftp_file = os.path.join(path,'ftp','%s.png'%name)
207 207 self.saveFigure(figpath, ftp_file)
208 208 ftp_filename = os.path.join(figpath,ftp_file)
209 209
210 210 self.sendByFTP_Thread(ftp_filename, server, folder, username, password)
211 211 self.counter_imagwr = 0
212 212
213 213 self.counter_imagwr = 0
214 214
215 215
216 216 class RTIPlot(Figure):
217 217
218 218 __isConfig = None
219 219 __nsubplots = None
220 220
221 221 WIDTHPROF = None
222 222 HEIGHTPROF = None
223 223 PREFIX = 'rti'
224 224
225 225 def __init__(self):
226 226
227 227 self.timerange = 2*60*60
228 228 self.__isConfig = False
229 229 self.__nsubplots = 1
230 230
231 231 self.WIDTH = 800
232 232 self.HEIGHT = 150
233 233 self.WIDTHPROF = 120
234 234 self.HEIGHTPROF = 0
235 235 self.counter_imagwr = 0
236 236
237 237 self.PLOT_CODE = 0
238 238 self.FTP_WEI = None
239 239 self.EXP_CODE = None
240 240 self.SUB_EXP_CODE = None
241 241 self.PLOT_POS = None
242 242
243 243 def getSubplots(self):
244 244
245 245 ncol = 1
246 246 nrow = self.nplots
247 247
248 248 return nrow, ncol
249 249
250 250 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
251 251
252 252 self.__showprofile = showprofile
253 253 self.nplots = nplots
254 254
255 255 ncolspan = 1
256 256 colspan = 1
257 257 if showprofile:
258 258 ncolspan = 7
259 259 colspan = 6
260 260 self.__nsubplots = 2
261 261
262 262 self.createFigure(id = id,
263 263 wintitle = wintitle,
264 264 widthplot = self.WIDTH + self.WIDTHPROF,
265 265 heightplot = self.HEIGHT + self.HEIGHTPROF,
266 266 show=show)
267 267
268 268 nrow, ncol = self.getSubplots()
269 269
270 270 counter = 0
271 271 for y in range(nrow):
272 272 for x in range(ncol):
273 273
274 274 if counter >= self.nplots:
275 275 break
276 276
277 277 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
278 278
279 279 if showprofile:
280 280 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
281 281
282 282 counter += 1
283 283
284 284 def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True',
285 285 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
286 286 timerange=None,
287 287 save=False, figpath='./', figfile=None, ftp=False, wr_period=1, show=True,
288 288 server=None, folder=None, username=None, password=None,
289 289 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
290 290
291 291 """
292 292
293 293 Input:
294 294 dataOut :
295 295 id :
296 296 wintitle :
297 297 channelList :
298 298 showProfile :
299 299 xmin : None,
300 300 xmax : None,
301 301 ymin : None,
302 302 ymax : None,
303 303 zmin : None,
304 304 zmax : None
305 305 """
306 306
307 307 if channelList == None:
308 308 channelIndexList = dataOut.channelIndexList
309 309 else:
310 310 channelIndexList = []
311 311 for channel in channelList:
312 312 if channel not in dataOut.channelList:
313 313 raise ValueError, "Channel %d is not in dataOut.channelList"
314 314 channelIndexList.append(dataOut.channelList.index(channel))
315 315
316 316 if timerange != None:
317 317 self.timerange = timerange
318 318
319 319 tmin = None
320 320 tmax = None
321 321 factor = dataOut.normFactor
322 322 x = dataOut.getTimeRange()
323 323 y = dataOut.getHeiRange()
324 324
325 325 z = dataOut.data_spc[channelIndexList,:,:]/factor
326 326 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
327 327 avg = numpy.average(z, axis=1)
328 328
329 329 avgdB = 10.*numpy.log10(avg)
330 330
331 331
332 332 # thisDatetime = dataOut.datatime
333 333 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
334 334 title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
335 335 xlabel = ""
336 336 ylabel = "Range (Km)"
337 337
338 338 if not self.__isConfig:
339 339
340 340 nplots = len(channelIndexList)
341 341
342 342 self.setup(id=id,
343 343 nplots=nplots,
344 344 wintitle=wintitle,
345 345 showprofile=showprofile,
346 346 show=show)
347 347
348 348 tmin, tmax = self.getTimeLim(x, xmin, xmax)
349 349 if ymin == None: ymin = numpy.nanmin(y)
350 350 if ymax == None: ymax = numpy.nanmax(y)
351 351 if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
352 352 if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
353 353
354 354 self.FTP_WEI = ftp_wei
355 355 self.EXP_CODE = exp_code
356 356 self.SUB_EXP_CODE = sub_exp_code
357 357 self.PLOT_POS = plot_pos
358 358
359 359 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
360 360 self.__isConfig = True
361 361
362 362
363 363 self.setWinTitle(title)
364 364
365 365 for i in range(self.nplots):
366 366 title = "Channel %d: %s" %(dataOut.channelList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
367 367 axes = self.axesList[i*self.__nsubplots]
368 368 zdB = avgdB[i].reshape((1,-1))
369 369 axes.pcolorbuffer(x, y, zdB,
370 370 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
371 371 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
372 372 ticksize=9, cblabel='', cbsize="1%")
373 373
374 374 if self.__showprofile:
375 375 axes = self.axesList[i*self.__nsubplots +1]
376 376 axes.pline(avgdB[i], y,
377 377 xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
378 378 xlabel='dB', ylabel='', title='',
379 379 ytick_visible=False,
380 380 grid='x')
381 381
382 382 self.draw()
383 383
384 384 if save:
385 385
386 386 self.counter_imagwr += 1
387 387 if (self.counter_imagwr==wr_period):
388 388 if figfile == None:
389 389 figfile = self.getFilename(name = self.name)
390 390 self.saveFigure(figpath, figfile)
391 391
392 392 if ftp:
393 393 #provisionalmente envia archivos en el formato de la web en tiempo real
394 394 name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
395 395 path = '%s%03d' %(self.PREFIX, self.id)
396 396 ftp_file = os.path.join(path,'ftp','%s.png'%name)
397 397 self.saveFigure(figpath, ftp_file)
398 398 ftp_filename = os.path.join(figpath,ftp_file)
399 399 self.sendByFTP_Thread(ftp_filename, server, folder, username, password)
400 400 self.counter_imagwr = 0
401 401
402 402 self.counter_imagwr = 0
403 403
404 404 if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax:
405 405 self.__isConfig = False
406 406
407 407 class SpectraPlot(Figure):
408 408
409 409 __isConfig = None
410 410 __nsubplots = None
411 411
412 412 WIDTHPROF = None
413 413 HEIGHTPROF = None
414 414 PREFIX = 'spc'
415 415
416 416 def __init__(self):
417 417
418 418 self.__isConfig = False
419 419 self.__nsubplots = 1
420 420
421 421 self.WIDTH = 280
422 422 self.HEIGHT = 250
423 423 self.WIDTHPROF = 120
424 424 self.HEIGHTPROF = 0
425 425 self.counter_imagwr = 0
426 426
427 427 self.PLOT_CODE = 1
428 428 self.FTP_WEI = None
429 429 self.EXP_CODE = None
430 430 self.SUB_EXP_CODE = None
431 431 self.PLOT_POS = None
432 432
433 433 def getSubplots(self):
434 434
435 435 ncol = int(numpy.sqrt(self.nplots)+0.9)
436 436 nrow = int(self.nplots*1./ncol + 0.9)
437 437
438 438 return nrow, ncol
439 439
440 440 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
441 441
442 442 self.__showprofile = showprofile
443 443 self.nplots = nplots
444 444
445 445 ncolspan = 1
446 446 colspan = 1
447 447 if showprofile:
448 448 ncolspan = 3
449 449 colspan = 2
450 450 self.__nsubplots = 2
451 451
452 452 self.createFigure(id = id,
453 453 wintitle = wintitle,
454 454 widthplot = self.WIDTH + self.WIDTHPROF,
455 455 heightplot = self.HEIGHT + self.HEIGHTPROF,
456 456 show=show)
457 457
458 458 nrow, ncol = self.getSubplots()
459 459
460 460 counter = 0
461 461 for y in range(nrow):
462 462 for x in range(ncol):
463 463
464 464 if counter >= self.nplots:
465 465 break
466 466
467 467 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
468 468
469 469 if showprofile:
470 470 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
471 471
472 472 counter += 1
473 473
474 474 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
475 475 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
476 476 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
477 477 server=None, folder=None, username=None, password=None,
478 478 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
479 479
480 480 """
481 481
482 482 Input:
483 483 dataOut :
484 484 id :
485 485 wintitle :
486 486 channelList :
487 487 showProfile :
488 488 xmin : None,
489 489 xmax : None,
490 490 ymin : None,
491 491 ymax : None,
492 492 zmin : None,
493 493 zmax : None
494 494 """
495 495
496 496 if realtime:
497 497 if not(isRealtime(utcdatatime = dataOut.utctime)):
498 498 print 'Skipping this plot function'
499 499 return
500 500
501 501 if channelList == None:
502 502 channelIndexList = dataOut.channelIndexList
503 503 else:
504 504 channelIndexList = []
505 505 for channel in channelList:
506 506 if channel not in dataOut.channelList:
507 507 raise ValueError, "Channel %d is not in dataOut.channelList"
508 508 channelIndexList.append(dataOut.channelList.index(channel))
509 509 factor = dataOut.normFactor
510 510 x = dataOut.getVelRange(1)
511 511 y = dataOut.getHeiRange()
512 512
513 513 z = dataOut.data_spc[channelIndexList,:,:]/factor
514 514 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
515 515 avg = numpy.average(z, axis=1)
516 516 noise = dataOut.getNoise()/factor
517 517
518 518 zdB = 10*numpy.log10(z)
519 519 avgdB = 10*numpy.log10(avg)
520 520 noisedB = 10*numpy.log10(noise)
521 521
522 522 #thisDatetime = dataOut.datatime
523 523 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
524 524 title = wintitle + " Spectra"
525 525 xlabel = "Velocity (m/s)"
526 526 ylabel = "Range (Km)"
527 527
528 528 if not self.__isConfig:
529 529
530 530 nplots = len(channelIndexList)
531 531
532 532 self.setup(id=id,
533 533 nplots=nplots,
534 534 wintitle=wintitle,
535 535 showprofile=showprofile,
536 536 show=show)
537 537
538 538 if xmin == None: xmin = numpy.nanmin(x)
539 539 if xmax == None: xmax = numpy.nanmax(x)
540 540 if ymin == None: ymin = numpy.nanmin(y)
541 541 if ymax == None: ymax = numpy.nanmax(y)
542 542 if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
543 543 if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
544 544
545 545 self.FTP_WEI = ftp_wei
546 546 self.EXP_CODE = exp_code
547 547 self.SUB_EXP_CODE = sub_exp_code
548 548 self.PLOT_POS = plot_pos
549 549
550 550 self.__isConfig = True
551 551
552 552 self.setWinTitle(title)
553 553
554 554 for i in range(self.nplots):
555 555 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
556 556 title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i]+1, noisedB[i], str_datetime)
557 557 axes = self.axesList[i*self.__nsubplots]
558 558 axes.pcolor(x, y, zdB[i,:,:],
559 559 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
560 560 xlabel=xlabel, ylabel=ylabel, title=title,
561 561 ticksize=9, cblabel='')
562 562
563 563 if self.__showprofile:
564 564 axes = self.axesList[i*self.__nsubplots +1]
565 565 axes.pline(avgdB[i], y,
566 566 xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
567 567 xlabel='dB', ylabel='', title='',
568 568 ytick_visible=False,
569 569 grid='x')
570 570
571 571 noiseline = numpy.repeat(noisedB[i], len(y))
572 572 axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
573 573
574 574 self.draw()
575 575
576 576 if save:
577 577
578 578 self.counter_imagwr += 1
579 579 if (self.counter_imagwr==wr_period):
580 580 if figfile == None:
581 581 str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
582 582 figfile = self.getFilename(name = str_datetime)
583 583
584 584 self.saveFigure(figpath, figfile)
585 585
586 586 if ftp:
587 587 #provisionalmente envia archivos en el formato de la web en tiempo real
588 588 name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
589 589 path = '%s%03d' %(self.PREFIX, self.id)
590 590 ftp_file = os.path.join(path,'ftp','%s.png'%name)
591 591 self.saveFigure(figpath, ftp_file)
592 592 ftp_filename = os.path.join(figpath,ftp_file)
593 593 self.sendByFTP_Thread(ftp_filename, server, folder, username, password)
594 594 self.counter_imagwr = 0
595 595
596 596
597 597 self.counter_imagwr = 0
598 598
599 599
600 600 class Scope(Figure):
601 601
602 602 __isConfig = None
603 603
604 604 def __init__(self):
605 605
606 606 self.__isConfig = False
607 607 self.WIDTH = 600
608 608 self.HEIGHT = 200
609 609 self.counter_imagwr = 0
610 610
611 611 def getSubplots(self):
612 612
613 613 nrow = self.nplots
614 614 ncol = 3
615 615 return nrow, ncol
616 616
617 617 def setup(self, id, nplots, wintitle, show):
618 618
619 619 self.nplots = nplots
620 620
621 621 self.createFigure(id=id,
622 622 wintitle=wintitle,
623 623 show=show)
624 624
625 625 nrow,ncol = self.getSubplots()
626 626 colspan = 3
627 627 rowspan = 1
628 628
629 629 for i in range(nplots):
630 630 self.addAxes(nrow, ncol, i, 0, colspan, rowspan)
631 631
632 632
633 633
634 634 def run(self, dataOut, id, wintitle="", channelList=None,
635 635 xmin=None, xmax=None, ymin=None, ymax=None, save=False,
636 636 figpath='./', figfile=None, show=True, wr_period=1,
637 637 server=None, folder=None, username=None, password=None):
638 638
639 639 """
640 640
641 641 Input:
642 642 dataOut :
643 643 id :
644 644 wintitle :
645 645 channelList :
646 646 xmin : None,
647 647 xmax : None,
648 648 ymin : None,
649 649 ymax : None,
650 650 """
651 651
652 652 if channelList == None:
653 653 channelIndexList = dataOut.channelIndexList
654 654 else:
655 655 channelIndexList = []
656 656 for channel in channelList:
657 657 if channel not in dataOut.channelList:
658 658 raise ValueError, "Channel %d is not in dataOut.channelList"
659 659 channelIndexList.append(dataOut.channelList.index(channel))
660 660
661 661 x = dataOut.heightList
662 662 y = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:])
663 663 y = y.real
664 664
665 665 #thisDatetime = dataOut.datatime
666 666 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
667 667 title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
668 668 xlabel = "Range (Km)"
669 669 ylabel = "Intensity"
670 670
671 671 if not self.__isConfig:
672 672 nplots = len(channelIndexList)
673 673
674 674 self.setup(id=id,
675 675 nplots=nplots,
676 676 wintitle=wintitle,
677 677 show=show)
678 678
679 679 if xmin == None: xmin = numpy.nanmin(x)
680 680 if xmax == None: xmax = numpy.nanmax(x)
681 681 if ymin == None: ymin = numpy.nanmin(y)
682 682 if ymax == None: ymax = numpy.nanmax(y)
683 683
684 684 self.__isConfig = True
685 685
686 686 self.setWinTitle(title)
687 687
688 688 for i in range(len(self.axesList)):
689 689 title = "Channel %d" %(i)
690 690 axes = self.axesList[i]
691 691 ychannel = y[i,:]
692 692 axes.pline(x, ychannel,
693 693 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
694 694 xlabel=xlabel, ylabel=ylabel, title=title)
695 695
696 696 self.draw()
697 697
698 698 if save:
699 699 date = thisDatetime.strftime("%Y%m%d_%H%M%S")
700 700 if figfile == None:
701 701 figfile = self.getFilename(name = date)
702 702
703 703 self.saveFigure(figpath, figfile)
704 704
705 705 self.counter_imagwr += 1
706 706 if (ftp and (self.counter_imagwr==wr_period)):
707 707 ftp_filename = os.path.join(figpath,figfile)
708 708 self.sendByFTP_Thread(ftp_filename, server, folder, username, password)
709 709 self.counter_imagwr = 0
710 710
711 711 class PowerProfilePlot(Figure):
712 712 __isConfig = None
713 713 __nsubplots = None
714 714
715 715 WIDTHPROF = None
716 716 HEIGHTPROF = None
717 717 PREFIX = 'spcprofile'
718 718
719 719 def __init__(self):
720 720 self.__isConfig = False
721 721 self.__nsubplots = 1
722 722
723 723 self.WIDTH = 300
724 724 self.HEIGHT = 500
725 725 self.counter_imagwr = 0
726 726
727 727 def getSubplots(self):
728 728 ncol = 1
729 729 nrow = 1
730 730
731 731 return nrow, ncol
732 732
733 733 def setup(self, id, nplots, wintitle, show):
734 734
735 735 self.nplots = nplots
736 736
737 737 ncolspan = 1
738 738 colspan = 1
739 739
740 740 self.createFigure(id = id,
741 741 wintitle = wintitle,
742 742 widthplot = self.WIDTH,
743 743 heightplot = self.HEIGHT,
744 744 show=show)
745 745
746 746 nrow, ncol = self.getSubplots()
747 747
748 748 counter = 0
749 749 for y in range(nrow):
750 750 for x in range(ncol):
751 751 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
752 752
753 753 def run(self, dataOut, id, wintitle="", channelList=None,
754 754 xmin=None, xmax=None, ymin=None, ymax=None,
755 755 save=False, figpath='./', figfile=None, show=True, wr_period=1,
756 756 server=None, folder=None, username=None, password=None,):
757 757
758 758 if channelList == None:
759 759 channelIndexList = dataOut.channelIndexList
760 760 channelList = dataOut.channelList
761 761 else:
762 762 channelIndexList = []
763 763 for channel in channelList:
764 764 if channel not in dataOut.channelList:
765 765 raise ValueError, "Channel %d is not in dataOut.channelList"
766 766 channelIndexList.append(dataOut.channelList.index(channel))
767 767
768 768 factor = dataOut.normFactor
769 769 y = dataOut.getHeiRange()
770 770 x = dataOut.data_spc[channelIndexList,:,:]/factor
771 771 x = numpy.where(numpy.isfinite(x), x, numpy.NAN)
772 772 avg = numpy.average(x, axis=1)
773 773
774 774 avgdB = 10*numpy.log10(avg)
775 775
776 776 #thisDatetime = dataOut.datatime
777 777 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
778 778 title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y"))
779 779 xlabel = "dB"
780 780 ylabel = "Range (Km)"
781 781
782 782 if not self.__isConfig:
783 783
784 784 nplots = 1
785 785
786 786 self.setup(id=id,
787 787 nplots=nplots,
788 788 wintitle=wintitle,
789 789 show=show)
790 790
791 791 if ymin == None: ymin = numpy.nanmin(y)
792 792 if ymax == None: ymax = numpy.nanmax(y)
793 793 if xmin == None: xmin = numpy.nanmin(avgdB)*0.9
794 794 if xmax == None: xmax = numpy.nanmax(avgdB)*0.9
795 795
796 796 self.__isConfig = True
797 797
798 798 self.setWinTitle(title)
799 799
800 800
801 801 title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
802 802 axes = self.axesList[0]
803 803
804 804 legendlabels = ["channel %d"%x for x in channelList]
805 805 axes.pmultiline(avgdB, y,
806 806 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
807 807 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels,
808 808 ytick_visible=True, nxticks=5,
809 809 grid='x')
810 810
811 811 self.draw()
812 812
813 813 if save:
814 814 date = thisDatetime.strftime("%Y%m%d")
815 815 if figfile == None:
816 816 figfile = self.getFilename(name = date)
817 817
818 818 self.saveFigure(figpath, figfile)
819 819
820 820 self.counter_imagwr += 1
821 821 if (ftp and (self.counter_imagwr==wr_period)):
822 822 ftp_filename = os.path.join(figpath,figfile)
823 823 self.sendByFTP_Thread(ftp_filename, server, folder, username, password)
824 824 self.counter_imagwr = 0
825 825
826 826 class CoherenceMap(Figure):
827 827 __isConfig = None
828 828 __nsubplots = None
829 829
830 830 WIDTHPROF = None
831 831 HEIGHTPROF = None
832 832 PREFIX = 'cmap'
833 833
834 834 def __init__(self):
835 835 self.timerange = 2*60*60
836 836 self.__isConfig = False
837 837 self.__nsubplots = 1
838 838
839 839 self.WIDTH = 800
840 840 self.HEIGHT = 150
841 841 self.WIDTHPROF = 120
842 842 self.HEIGHTPROF = 0
843 843 self.counter_imagwr = 0
844 844
845 845 self.PLOT_CODE = 3
846 846 self.FTP_WEI = None
847 847 self.EXP_CODE = None
848 848 self.SUB_EXP_CODE = None
849 849 self.PLOT_POS = None
850 850 self.counter_imagwr = 0
851 851
852 852 def getSubplots(self):
853 853 ncol = 1
854 854 nrow = self.nplots*2
855 855
856 856 return nrow, ncol
857 857
858 858 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
859 859 self.__showprofile = showprofile
860 860 self.nplots = nplots
861 861
862 862 ncolspan = 1
863 863 colspan = 1
864 864 if showprofile:
865 865 ncolspan = 7
866 866 colspan = 6
867 867 self.__nsubplots = 2
868 868
869 869 self.createFigure(id = id,
870 870 wintitle = wintitle,
871 871 widthplot = self.WIDTH + self.WIDTHPROF,
872 872 heightplot = self.HEIGHT + self.HEIGHTPROF,
873 873 show=True)
874 874
875 875 nrow, ncol = self.getSubplots()
876 876
877 877 for y in range(nrow):
878 878 for x in range(ncol):
879 879
880 880 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
881 881
882 882 if showprofile:
883 883 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
884 884
885 885 def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
886 886 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
887 887 timerange=None,
888 888 save=False, figpath='./', figfile=None, ftp=False, wr_period=1,
889 889 coherence_cmap='jet', phase_cmap='RdBu_r', show=True,
890 890 server=None, folder=None, username=None, password=None,
891 891 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
892 892
893 893 if pairsList == None:
894 894 pairsIndexList = dataOut.pairsIndexList
895 895 else:
896 896 pairsIndexList = []
897 897 for pair in pairsList:
898 898 if pair not in dataOut.pairsList:
899 899 raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair)
900 900 pairsIndexList.append(dataOut.pairsList.index(pair))
901 901
902 902 if timerange != None:
903 903 self.timerange = timerange
904 904
905 905 if pairsIndexList == []:
906 906 return
907 907
908 908 if len(pairsIndexList) > 4:
909 909 pairsIndexList = pairsIndexList[0:4]
910 910
911 911 tmin = None
912 912 tmax = None
913 913 x = dataOut.getTimeRange()
914 914 y = dataOut.getHeiRange()
915 915
916 916 #thisDatetime = dataOut.datatime
917 917 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
918 918 title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
919 919 xlabel = ""
920 920 ylabel = "Range (Km)"
921 921
922 922 if not self.__isConfig:
923 923 nplots = len(pairsIndexList)
924 924 self.setup(id=id,
925 925 nplots=nplots,
926 926 wintitle=wintitle,
927 927 showprofile=showprofile,
928 928 show=show)
929 929
930 930 tmin, tmax = self.getTimeLim(x, xmin, xmax)
931 931 if ymin == None: ymin = numpy.nanmin(y)
932 932 if ymax == None: ymax = numpy.nanmax(y)
933 933 if zmin == None: zmin = 0.
934 934 if zmax == None: zmax = 1.
935 935
936 936 self.FTP_WEI = ftp_wei
937 937 self.EXP_CODE = exp_code
938 938 self.SUB_EXP_CODE = sub_exp_code
939 939 self.PLOT_POS = plot_pos
940 940
941 941 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
942 942
943 943 self.__isConfig = True
944 944
945 945 self.setWinTitle(title)
946 946
947 947 for i in range(self.nplots):
948 948
949 949 pair = dataOut.pairsList[pairsIndexList[i]]
950 950 # coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:])
951 951 # avgcoherenceComplex = numpy.average(coherenceComplex, axis=0)
952 952 # coherence = numpy.abs(avgcoherenceComplex)
953 953
954 954 ## coherence = numpy.abs(coherenceComplex)
955 955 ## avg = numpy.average(coherence, axis=0)
956 956
957 957 ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0)
958 958 powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0)
959 959 powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0)
960 960
961 961
962 962 avgcoherenceComplex = ccf/numpy.sqrt(powa*powb)
963 963 coherence = numpy.abs(avgcoherenceComplex)
964 964
965 965 z = coherence.reshape((1,-1))
966 966
967 967 counter = 0
968 968
969 969 title = "Coherence %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
970 970 axes = self.axesList[i*self.__nsubplots*2]
971 971 axes.pcolorbuffer(x, y, z,
972 972 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
973 973 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
974 974 ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%")
975 975
976 976 if self.__showprofile:
977 977 counter += 1
978 978 axes = self.axesList[i*self.__nsubplots*2 + counter]
979 979 axes.pline(coherence, y,
980 980 xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
981 981 xlabel='', ylabel='', title='', ticksize=7,
982 982 ytick_visible=False, nxticks=5,
983 983 grid='x')
984 984
985 985 counter += 1
986 986 # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi
987 987 phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi
988 988 # avg = numpy.average(phase, axis=0)
989 989 z = phase.reshape((1,-1))
990 990
991 991 title = "Phase %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
992 992 axes = self.axesList[i*self.__nsubplots*2 + counter]
993 993 axes.pcolorbuffer(x, y, z,
994 994 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180,
995 995 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
996 996 ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%")
997 997
998 998 if self.__showprofile:
999 999 counter += 1
1000 1000 axes = self.axesList[i*self.__nsubplots*2 + counter]
1001 1001 axes.pline(phase, y,
1002 1002 xmin=-180, xmax=180, ymin=ymin, ymax=ymax,
1003 1003 xlabel='', ylabel='', title='', ticksize=7,
1004 1004 ytick_visible=False, nxticks=4,
1005 1005 grid='x')
1006 1006
1007 1007 self.draw()
1008 1008
1009 1009 if save:
1010 1010
1011 1011 self.counter_imagwr += 1
1012 1012 if (self.counter_imagwr==wr_period):
1013 1013 if figfile == None:
1014 1014 figfile = self.getFilename(name = self.name)
1015 1015 self.saveFigure(figpath, figfile)
1016 1016
1017 1017 if ftp:
1018 1018 #provisionalmente envia archivos en el formato de la web en tiempo real
1019 1019 name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
1020 1020 path = '%s%03d' %(self.PREFIX, self.id)
1021 1021 ftp_file = os.path.join(path,'ftp','%s.png'%name)
1022 1022 self.saveFigure(figpath, ftp_file)
1023 1023 ftp_filename = os.path.join(figpath,ftp_file)
1024 1024 self.sendByFTP_Thread(ftp_filename, server, folder, username, password)
1025 1025 self.counter_imagwr = 0
1026 1026
1027 1027 self.counter_imagwr = 0
1028 1028
1029 1029
1030 1030 if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax:
1031 1031 self.__isConfig = False
1032 1032
1033 1033 class Noise(Figure):
1034 1034
1035 1035 __isConfig = None
1036 1036 __nsubplots = None
1037 1037
1038 1038 PREFIX = 'noise'
1039 1039
1040 1040 def __init__(self):
1041 1041
1042 1042 self.timerange = 24*60*60
1043 1043 self.__isConfig = False
1044 1044 self.__nsubplots = 1
1045 1045 self.counter_imagwr = 0
1046 1046 self.WIDTH = 600
1047 1047 self.HEIGHT = 300
1048 1048 self.WIDTHPROF = 120
1049 1049 self.HEIGHTPROF = 0
1050 1050 self.xdata = None
1051 1051 self.ydata = None
1052 1052
1053 1053 self.PLOT_CODE = 77
1054 1054 self.FTP_WEI = None
1055 1055 self.EXP_CODE = None
1056 1056 self.SUB_EXP_CODE = None
1057 1057 self.PLOT_POS = None
1058 1058
1059 1059 def getSubplots(self):
1060 1060
1061 1061 ncol = 1
1062 1062 nrow = 1
1063 1063
1064 1064 return nrow, ncol
1065 1065
1066 1066 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
1067 1067
1068 1068 self.__showprofile = showprofile
1069 1069 self.nplots = nplots
1070 1070
1071 1071 ncolspan = 7
1072 1072 colspan = 6
1073 1073 self.__nsubplots = 2
1074 1074
1075 1075 self.createFigure(id = id,
1076 1076 wintitle = wintitle,
1077 1077 widthplot = self.WIDTH+self.WIDTHPROF,
1078 1078 heightplot = self.HEIGHT+self.HEIGHTPROF,
1079 1079 show=show)
1080 1080
1081 1081 nrow, ncol = self.getSubplots()
1082 1082
1083 1083 self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
1084 1084
1085 1085
1086 1086 def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True',
1087 1087 xmin=None, xmax=None, ymin=None, ymax=None,
1088 1088 timerange=None,
1089 1089 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
1090 1090 server=None, folder=None, username=None, password=None,
1091 1091 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
1092 1092
1093 1093 if channelList == None:
1094 1094 channelIndexList = dataOut.channelIndexList
1095 1095 channelList = dataOut.channelList
1096 1096 else:
1097 1097 channelIndexList = []
1098 1098 for channel in channelList:
1099 1099 if channel not in dataOut.channelList:
1100 1100 raise ValueError, "Channel %d is not in dataOut.channelList"
1101 1101 channelIndexList.append(dataOut.channelList.index(channel))
1102 1102
1103 1103 if timerange != None:
1104 1104 self.timerange = timerange
1105 1105
1106 1106 tmin = None
1107 1107 tmax = None
1108 1108 x = dataOut.getTimeRange()
1109 1109 y = dataOut.getHeiRange()
1110 1110 factor = dataOut.normFactor
1111 1111 noise = dataOut.getNoise()/factor
1112 1112 noisedB = 10*numpy.log10(noise)
1113 1113
1114 1114 #thisDatetime = dataOut.datatime
1115 1115 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
1116 1116 title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
1117 1117 xlabel = ""
1118 1118 ylabel = "Intensity (dB)"
1119 1119
1120 1120 if not self.__isConfig:
1121 1121
1122 1122 nplots = 1
1123 1123
1124 1124 self.setup(id=id,
1125 1125 nplots=nplots,
1126 1126 wintitle=wintitle,
1127 1127 showprofile=showprofile,
1128 1128 show=show)
1129 1129
1130 1130 tmin, tmax = self.getTimeLim(x, xmin, xmax)
1131 1131 if ymin == None: ymin = numpy.nanmin(noisedB) - 10.0
1132 1132 if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0
1133 1133
1134 1134 self.FTP_WEI = ftp_wei
1135 1135 self.EXP_CODE = exp_code
1136 1136 self.SUB_EXP_CODE = sub_exp_code
1137 1137 self.PLOT_POS = plot_pos
1138 1138
1139 1139 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1140 1140
1141 1141
1142 1142 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1143 1143 self.__isConfig = True
1144 1144
1145 1145 self.xdata = numpy.array([])
1146 1146 self.ydata = numpy.array([])
1147 1147
1148 1148 self.setWinTitle(title)
1149 1149
1150 1150
1151 1151 title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1152 1152
1153 1153 legendlabels = ["channel %d"%(idchannel+1) for idchannel in channelList]
1154 1154 axes = self.axesList[0]
1155 1155
1156 1156 self.xdata = numpy.hstack((self.xdata, x[0:1]))
1157 1157
1158 1158 if len(self.ydata)==0:
1159 1159 self.ydata = noisedB[channelIndexList].reshape(-1,1)
1160 1160 else:
1161 1161 self.ydata = numpy.hstack((self.ydata, noisedB[channelIndexList].reshape(-1,1)))
1162 1162
1163 1163
1164 1164 axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
1165 1165 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax,
1166 1166 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
1167 1167 XAxisAsTime=True, grid='both'
1168 1168 )
1169 1169
1170 1170 self.draw()
1171 1171
1172 1172 # if save:
1173 1173 #
1174 1174 # if figfile == None:
1175 1175 # figfile = self.getFilename(name = self.name)
1176 1176 #
1177 1177 # self.saveFigure(figpath, figfile)
1178 1178
1179 1179 if save:
1180 1180
1181 1181 self.counter_imagwr += 1
1182 1182 if (self.counter_imagwr==wr_period):
1183 1183 if figfile == None:
1184 1184 figfile = self.getFilename(name = self.name)
1185 1185 self.saveFigure(figpath, figfile)
1186 1186
1187 1187 if ftp:
1188 1188 #provisionalmente envia archivos en el formato de la web en tiempo real
1189 1189 name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
1190 1190 path = '%s%03d' %(self.PREFIX, self.id)
1191 1191 ftp_file = os.path.join(path,'ftp','%s.png'%name)
1192 1192 self.saveFigure(figpath, ftp_file)
1193 1193 ftp_filename = os.path.join(figpath,ftp_file)
1194 1194 self.sendByFTP_Thread(ftp_filename, server, folder, username, password)
1195 1195 self.counter_imagwr = 0
1196 1196
1197 1197 self.counter_imagwr = 0
1198 1198
1199 1199 if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax:
1200 1200 self.__isConfig = False
1201 1201 del self.xdata
1202 1202 del self.ydata
1203 1203
1204 1204
1205 1205 class SpectraHeisScope(Figure):
1206 1206
1207 1207
1208 1208 __isConfig = None
1209 1209 __nsubplots = None
1210 1210
1211 1211 WIDTHPROF = None
1212 1212 HEIGHTPROF = None
1213 1213 PREFIX = 'spc'
1214 1214
1215 1215 def __init__(self):
1216 1216
1217 1217 self.__isConfig = False
1218 1218 self.__nsubplots = 1
1219 1219
1220 1220 self.WIDTH = 230
1221 1221 self.HEIGHT = 250
1222 1222 self.WIDTHPROF = 120
1223 1223 self.HEIGHTPROF = 0
1224 1224 self.counter_imagwr = 0
1225 1225
1226 1226 def getSubplots(self):
1227 1227
1228 1228 ncol = int(numpy.sqrt(self.nplots)+0.9)
1229 1229 nrow = int(self.nplots*1./ncol + 0.9)
1230 1230
1231 1231 return nrow, ncol
1232 1232
1233 1233 def setup(self, id, nplots, wintitle, show):
1234 1234
1235 1235 showprofile = False
1236 1236 self.__showprofile = showprofile
1237 1237 self.nplots = nplots
1238 1238
1239 1239 ncolspan = 1
1240 1240 colspan = 1
1241 1241 if showprofile:
1242 1242 ncolspan = 3
1243 1243 colspan = 2
1244 1244 self.__nsubplots = 2
1245 1245
1246 1246 self.createFigure(id = id,
1247 1247 wintitle = wintitle,
1248 1248 widthplot = self.WIDTH + self.WIDTHPROF,
1249 1249 heightplot = self.HEIGHT + self.HEIGHTPROF,
1250 1250 show = show)
1251 1251
1252 1252 nrow, ncol = self.getSubplots()
1253 1253
1254 1254 counter = 0
1255 1255 for y in range(nrow):
1256 1256 for x in range(ncol):
1257 1257
1258 1258 if counter >= self.nplots:
1259 1259 break
1260 1260
1261 1261 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
1262 1262
1263 1263 if showprofile:
1264 1264 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
1265 1265
1266 1266 counter += 1
1267 1267
1268 1268
1269 1269 def run(self, dataOut, id, wintitle="", channelList=None,
1270 1270 xmin=None, xmax=None, ymin=None, ymax=None, save=False,
1271 1271 figpath='./', figfile=None, ftp=False, wr_period=1, show=True,
1272 1272 server=None, folder=None, username=None, password=None):
1273 1273
1274 1274 """
1275 1275
1276 1276 Input:
1277 1277 dataOut :
1278 1278 id :
1279 1279 wintitle :
1280 1280 channelList :
1281 1281 xmin : None,
1282 1282 xmax : None,
1283 1283 ymin : None,
1284 1284 ymax : None,
1285 1285 """
1286 1286
1287 1287 if dataOut.realtime:
1288 1288 if not(isRealtime(utcdatatime = dataOut.utctime)):
1289 1289 print 'Skipping this plot function'
1290 1290 return
1291 1291
1292 1292 if channelList == None:
1293 1293 channelIndexList = dataOut.channelIndexList
1294 1294 else:
1295 1295 channelIndexList = []
1296 1296 for channel in channelList:
1297 1297 if channel not in dataOut.channelList:
1298 1298 raise ValueError, "Channel %d is not in dataOut.channelList"
1299 1299 channelIndexList.append(dataOut.channelList.index(channel))
1300 1300
1301 1301 # x = dataOut.heightList
1302 1302 c = 3E8
1303 1303 deltaHeight = dataOut.heightList[1] - dataOut.heightList[0]
1304 1304 #deberia cambiar para el caso de 1Mhz y 100KHz
1305 1305 x = numpy.arange(-1*dataOut.nHeights/2.,dataOut.nHeights/2.)*(c/(2*deltaHeight*dataOut.nHeights*1000))
1306 1306 #para 1Mhz descomentar la siguiente linea
1307 1307 #x= x/(10000.0)
1308 1308 # y = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:])
1309 1309 # y = y.real
1310 1310 datadB = 10.*numpy.log10(dataOut.data_spc)
1311 1311 y = datadB
1312 1312
1313 1313 #thisDatetime = dataOut.datatime
1314 1314 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
1315 1315 title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
1316 1316 xlabel = ""
1317 1317 #para 1Mhz descomentar la siguiente linea
1318 1318 #xlabel = "Frequency x 10000"
1319 1319 ylabel = "Intensity (dB)"
1320 1320
1321 1321 if not self.__isConfig:
1322 1322 nplots = len(channelIndexList)
1323 1323
1324 1324 self.setup(id=id,
1325 1325 nplots=nplots,
1326 1326 wintitle=wintitle,
1327 1327 show=show)
1328 1328
1329 1329 if xmin == None: xmin = numpy.nanmin(x)
1330 1330 if xmax == None: xmax = numpy.nanmax(x)
1331 1331 if ymin == None: ymin = numpy.nanmin(y)
1332 1332 if ymax == None: ymax = numpy.nanmax(y)
1333 1333
1334 1334 self.__isConfig = True
1335 1335
1336 1336 self.setWinTitle(title)
1337 1337
1338 1338 for i in range(len(self.axesList)):
1339 1339 ychannel = y[i,:]
1340 1340 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
1341 1341 title = "Channel %d: %4.2fdB: %s" %(i, numpy.max(ychannel), str_datetime)
1342 1342 axes = self.axesList[i]
1343 1343 axes.pline(x, ychannel,
1344 1344 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
1345 1345 xlabel=xlabel, ylabel=ylabel, title=title, grid='both')
1346 1346
1347 1347
1348 1348 self.draw()
1349 1349
1350 1350 if save:
1351 1351 date = thisDatetime.strftime("%Y%m%d_%H%M%S")
1352 1352 if figfile == None:
1353 1353 figfile = self.getFilename(name = date)
1354 1354
1355 1355 self.saveFigure(figpath, figfile)
1356 1356
1357 1357 self.counter_imagwr += 1
1358 1358 if (ftp and (self.counter_imagwr==wr_period)):
1359 1359 ftp_filename = os.path.join(figpath,figfile)
1360 1360 self.sendByFTP_Thread(ftp_filename, server, folder, username, password)
1361 1361 self.counter_imagwr = 0
1362 1362
1363 1363
1364 1364 class RTIfromSpectraHeis(Figure):
1365 1365
1366 1366 __isConfig = None
1367 1367 __nsubplots = None
1368 1368
1369 1369 PREFIX = 'rtinoise'
1370 1370
1371 1371 def __init__(self):
1372 1372
1373 1373 self.timerange = 24*60*60
1374 1374 self.__isConfig = False
1375 1375 self.__nsubplots = 1
1376 1376
1377 1377 self.WIDTH = 820
1378 1378 self.HEIGHT = 200
1379 1379 self.WIDTHPROF = 120
1380 1380 self.HEIGHTPROF = 0
1381 1381 self.counter_imagwr = 0
1382 1382 self.xdata = None
1383 1383 self.ydata = None
1384 1384
1385 1385 def getSubplots(self):
1386 1386
1387 1387 ncol = 1
1388 1388 nrow = 1
1389 1389
1390 1390 return nrow, ncol
1391 1391
1392 1392 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
1393 1393
1394 1394 self.__showprofile = showprofile
1395 1395 self.nplots = nplots
1396 1396
1397 1397 ncolspan = 7
1398 1398 colspan = 6
1399 1399 self.__nsubplots = 2
1400 1400
1401 1401 self.createFigure(id = id,
1402 1402 wintitle = wintitle,
1403 1403 widthplot = self.WIDTH+self.WIDTHPROF,
1404 1404 heightplot = self.HEIGHT+self.HEIGHTPROF,
1405 1405 show = show)
1406 1406
1407 1407 nrow, ncol = self.getSubplots()
1408 1408
1409 1409 self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
1410 1410
1411 1411
1412 1412 def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True',
1413 1413 xmin=None, xmax=None, ymin=None, ymax=None,
1414 1414 timerange=None,
1415 1415 save=False, figpath='./', figfile=None, ftp=False, wr_period=1, show=True,
1416 1416 server=None, folder=None, username=None, password=None):
1417 1417
1418 1418 if channelList == None:
1419 1419 channelIndexList = dataOut.channelIndexList
1420 1420 channelList = dataOut.channelList
1421 1421 else:
1422 1422 channelIndexList = []
1423 1423 for channel in channelList:
1424 1424 if channel not in dataOut.channelList:
1425 1425 raise ValueError, "Channel %d is not in dataOut.channelList"
1426 1426 channelIndexList.append(dataOut.channelList.index(channel))
1427 1427
1428 1428 if timerange != None:
1429 1429 self.timerange = timerange
1430 1430
1431 1431 tmin = None
1432 1432 tmax = None
1433 1433 x = dataOut.getTimeRange()
1434 1434 y = dataOut.getHeiRange()
1435 1435
1436 1436 factor = 1
1437 1437 data = dataOut.data_spc/factor
1438 1438 data = numpy.average(data,axis=1)
1439 1439 datadB = 10*numpy.log10(data)
1440 1440
1441 1441 # factor = dataOut.normFactor
1442 1442 # noise = dataOut.getNoise()/factor
1443 1443 # noisedB = 10*numpy.log10(noise)
1444 1444
1445 1445 #thisDatetime = dataOut.datatime
1446 1446 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
1447 1447 title = wintitle + " RTI: %s" %(thisDatetime.strftime("%d-%b-%Y"))
1448 1448 xlabel = "Local Time"
1449 1449 ylabel = "Intensity (dB)"
1450 1450
1451 1451 if not self.__isConfig:
1452 1452
1453 1453 nplots = 1
1454 1454
1455 1455 self.setup(id=id,
1456 1456 nplots=nplots,
1457 1457 wintitle=wintitle,
1458 1458 showprofile=showprofile,
1459 1459 show=show)
1460 1460
1461 1461 tmin, tmax = self.getTimeLim(x, xmin, xmax)
1462 1462 if ymin == None: ymin = numpy.nanmin(datadB)
1463 1463 if ymax == None: ymax = numpy.nanmax(datadB)
1464 1464
1465 1465 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1466 1466 self.__isConfig = True
1467 1467
1468 1468 self.xdata = numpy.array([])
1469 1469 self.ydata = numpy.array([])
1470 1470
1471 1471 self.setWinTitle(title)
1472 1472
1473 1473
1474 1474 # title = "RTI %s" %(thisDatetime.strftime("%d-%b-%Y"))
1475 1475 title = "RTI - %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
1476 1476
1477 legendlabels = ["channel %d"%idchannel for idchannel in channelIndexList]
1477 legendlabels = ["channel %d"%idchannel for idchannel in channelList]
1478 1478 axes = self.axesList[0]
1479 1479
1480 1480 self.xdata = numpy.hstack((self.xdata, x[0:1]))
1481 1481
1482 1482 if len(self.ydata)==0:
1483 1483 self.ydata = datadB[channelIndexList].reshape(-1,1)
1484 1484 else:
1485 1485 self.ydata = numpy.hstack((self.ydata, datadB[channelIndexList].reshape(-1,1)))
1486 1486
1487 1487
1488 1488 axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
1489 1489 xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax,
1490 1490 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='.', markersize=8, linestyle="solid", grid='both',
1491 1491 XAxisAsTime=True
1492 1492 )
1493 1493
1494 1494 self.draw()
1495 1495
1496 1496 if save:
1497 1497
1498 1498 if figfile == None:
1499 1499 figfile = self.getFilename(name = self.name)
1500 1500
1501 1501 self.saveFigure(figpath, figfile)
1502 1502
1503 1503 self.counter_imagwr += 1
1504 1504 if (ftp and (self.counter_imagwr==wr_period)):
1505 1505 ftp_filename = os.path.join(figpath,figfile)
1506 1506 self.sendByFTP_Thread(ftp_filename, server, folder, username, password)
1507 1507 self.counter_imagwr = 0
1508 1508
1509 1509 if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax:
1510 1510 self.__isConfig = False
1511 1511 del self.xdata
1512 1512 del self.ydata
1513 1513
1514 1514
1515 1515 No newline at end of file
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