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1 | 1 | ''' |
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2 | 2 | |
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3 | 3 | $Author: murco $ |
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4 | 4 | $Id: JROHeaderIO.py 151 2012-10-31 19:00:51Z murco $ |
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5 | 5 | ''' |
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6 | 6 | import sys |
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7 | 7 | import numpy |
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8 | 8 | import copy |
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9 | 9 | import datetime |
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10 | 10 | import inspect |
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11 | 11 | |
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12 | 12 | SPEED_OF_LIGHT = 299792458 |
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13 | 13 | SPEED_OF_LIGHT = 3e8 |
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14 | 14 | |
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15 | 15 | BASIC_STRUCTURE = numpy.dtype([ |
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16 |
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17 |
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18 |
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19 |
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20 |
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21 |
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22 |
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23 |
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24 | ]) | |
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16 | ('nSize', '<u4'), | |
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17 | ('nVersion', '<u2'), | |
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18 | ('nDataBlockId', '<u4'), | |
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19 | ('nUtime', '<u4'), | |
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20 | ('nMilsec', '<u2'), | |
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21 | ('nTimezone', '<i2'), | |
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22 | ('nDstflag', '<i2'), | |
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23 | ('nErrorCount', '<u4') | |
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24 | ]) | |
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25 | 25 | |
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26 | 26 | SYSTEM_STRUCTURE = numpy.dtype([ |
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27 |
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28 |
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29 |
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30 |
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31 |
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32 |
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33 | ]) | |
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27 | ('nSize', '<u4'), | |
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28 | ('nNumSamples', '<u4'), | |
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29 | ('nNumProfiles', '<u4'), | |
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30 | ('nNumChannels', '<u4'), | |
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31 | ('nADCResolution', '<u4'), | |
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32 | ('nPCDIOBusWidth', '<u4'), | |
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33 | ]) | |
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34 | 34 | |
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35 | 35 | RADAR_STRUCTURE = numpy.dtype([ |
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36 | ('nSize','<u4'), | |
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37 | ('nExpType','<u4'), | |
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38 | ('nNTx','<u4'), | |
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39 | ('fIpp','<f4'), | |
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40 | ('fTxA','<f4'), | |
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41 | ('fTxB','<f4'), | |
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42 | ('nNumWindows','<u4'), | |
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43 | ('nNumTaus','<u4'), | |
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44 | ('nCodeType','<u4'), | |
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45 | ('nLine6Function','<u4'), | |
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46 | ('nLine5Function','<u4'), | |
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47 | ('fClock','<f4'), | |
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48 | ('nPrePulseBefore','<u4'), | |
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49 | ('nPrePulseAfter','<u4'), | |
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50 | ('sRangeIPP','<a20'), | |
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51 | ('sRangeTxA','<a20'), | |
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52 | ('sRangeTxB','<a20'), | |
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53 | ]) | |
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54 | ||
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55 |
SAMPLING_STRUCTURE = numpy.dtype( |
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36 | ('nSize', '<u4'), | |
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37 | ('nExpType', '<u4'), | |
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38 | ('nNTx', '<u4'), | |
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39 | ('fIpp', '<f4'), | |
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40 | ('fTxA', '<f4'), | |
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41 | ('fTxB', '<f4'), | |
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42 | ('nNumWindows', '<u4'), | |
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43 | ('nNumTaus', '<u4'), | |
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44 | ('nCodeType', '<u4'), | |
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45 | ('nLine6Function', '<u4'), | |
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46 | ('nLine5Function', '<u4'), | |
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47 | ('fClock', '<f4'), | |
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48 | ('nPrePulseBefore', '<u4'), | |
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49 | ('nPrePulseAfter', '<u4'), | |
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50 | ('sRangeIPP', '<a20'), | |
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51 | ('sRangeTxA', '<a20'), | |
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52 | ('sRangeTxB', '<a20'), | |
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53 | ]) | |
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54 | ||
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55 | SAMPLING_STRUCTURE = numpy.dtype( | |
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56 | [('h0', '<f4'), ('dh', '<f4'), ('nsa', '<u4')]) | |
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56 | 57 | |
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57 | 58 | |
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58 | 59 | PROCESSING_STRUCTURE = numpy.dtype([ |
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59 | ('nSize','<u4'), | |
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60 |
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61 |
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62 |
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63 |
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64 |
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65 |
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66 |
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67 |
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68 |
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69 | ]) | |
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60 | ('nSize', '<u4'), | |
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61 | ('nDataType', '<u4'), | |
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62 | ('nSizeOfDataBlock', '<u4'), | |
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63 | ('nProfilesperBlock', '<u4'), | |
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64 | ('nDataBlocksperFile', '<u4'), | |
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65 | ('nNumWindows', '<u4'), | |
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66 | ('nProcessFlags', '<u4'), | |
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67 | ('nCoherentIntegrations', '<u4'), | |
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68 | ('nIncoherentIntegrations', '<u4'), | |
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69 | ('nTotalSpectra', '<u4') | |
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70 | ]) | |
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71 | ||
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70 | 72 | |
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71 | 73 | class Header(object): |
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72 | ||
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74 | ||
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73 | 75 | def __init__(self): |
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74 | 76 | raise NotImplementedError |
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75 | ||
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77 | ||
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76 | 78 | def copy(self): |
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77 | 79 | return copy.deepcopy(self) |
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78 | ||
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80 | ||
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79 | 81 | def read(self): |
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80 | ||
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82 | ||
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81 | 83 | raise NotImplementedError |
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82 | ||
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84 | ||
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83 | 85 | def write(self): |
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84 | ||
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86 | ||
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85 | 87 | raise NotImplementedError |
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86 | 88 | |
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87 | 89 | def getAllowedArgs(self): |
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88 | 90 | args = inspect.getargspec(self.__init__).args |
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89 | 91 | try: |
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90 | 92 | args.remove('self') |
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91 | 93 | except: |
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92 | 94 | pass |
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93 | 95 | return args |
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94 | 96 | |
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95 | 97 | def getAsDict(self): |
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96 | 98 | args = self.getAllowedArgs() |
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97 | 99 | asDict = {} |
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98 | 100 | for x in args: |
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99 | 101 | asDict[x] = self[x] |
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100 | 102 | return asDict |
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101 | ||
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103 | ||
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102 | 104 | def __getitem__(self, name): |
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103 | 105 | return getattr(self, name) |
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104 | 106 | |
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105 | 107 | def printInfo(self): |
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106 | ||
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107 | message = "#"*50 + "\n" | |
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108 | ||
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109 | message = "#" * 50 + "\n" | |
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108 | 110 | message += self.__class__.__name__.upper() + "\n" |
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109 | message += "#"*50 + "\n" | |
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110 | ||
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111 | message += "#" * 50 + "\n" | |
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112 | ||
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111 | 113 | keyList = self.__dict__.keys() |
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112 | 114 | keyList.sort() |
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113 | ||
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115 | ||
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114 | 116 | for key in keyList: |
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115 | message += "%s = %s" %(key, self.__dict__[key]) + "\n" | |
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116 | ||
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117 | message += "%s = %s" % (key, self.__dict__[key]) + "\n" | |
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118 | ||
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117 | 119 | if "size" not in keyList: |
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118 | 120 | attr = getattr(self, "size") |
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119 | ||
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121 | ||
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120 | 122 | if attr: |
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121 | message += "%s = %s" %("size", attr) + "\n" | |
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122 | ||
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123 | message += "%s = %s" % ("size", attr) + "\n" | |
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124 | ||
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123 | 125 | print message |
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124 | 126 | |
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127 | ||
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125 | 128 | class BasicHeader(Header): |
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126 | ||
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129 | ||
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127 | 130 | size = None |
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128 | 131 | version = None |
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129 | 132 | dataBlock = None |
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130 | 133 | utc = None |
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131 | 134 | ltc = None |
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132 | 135 | miliSecond = None |
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133 | 136 | timeZone = None |
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134 | 137 | dstFlag = None |
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135 | 138 | errorCount = None |
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136 | 139 | datatime = None |
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137 | 140 | structure = BASIC_STRUCTURE |
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138 | 141 | __LOCALTIME = None |
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139 | ||
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142 | ||
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140 | 143 | def __init__(self, useLocalTime=True): |
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141 | ||
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144 | ||
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142 | 145 | self.size = 24 |
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143 | 146 | self.version = 0 |
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144 | 147 | self.dataBlock = 0 |
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145 | 148 | self.utc = 0 |
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146 | 149 | self.miliSecond = 0 |
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147 | 150 | self.timeZone = 0 |
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148 | 151 | self.dstFlag = 0 |
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149 | 152 | self.errorCount = 0 |
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150 | ||
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153 | ||
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151 | 154 | self.useLocalTime = useLocalTime |
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152 | ||
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155 | ||
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153 | 156 | def read(self, fp): |
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154 | ||
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157 | ||
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155 | 158 | self.length = 0 |
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156 | 159 | try: |
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157 | 160 | if hasattr(fp, 'read'): |
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158 | header = numpy.fromfile(fp, BASIC_STRUCTURE,1) | |
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161 | header = numpy.fromfile(fp, BASIC_STRUCTURE, 1) | |
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159 | 162 | else: |
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160 | header = numpy.fromstring(fp, BASIC_STRUCTURE,1) | |
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163 | header = numpy.fromstring(fp, BASIC_STRUCTURE, 1) | |
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161 | 164 | except Exception, e: |
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162 | 165 | print "BasicHeader: " |
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163 | 166 | print e |
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164 | 167 | return 0 |
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165 | 168 | |
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166 | 169 | self.size = int(header['nSize'][0]) |
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167 | 170 | self.version = int(header['nVersion'][0]) |
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168 | 171 | self.dataBlock = int(header['nDataBlockId'][0]) |
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169 | 172 | self.utc = int(header['nUtime'][0]) |
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170 | 173 | self.miliSecond = int(header['nMilsec'][0]) |
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171 | 174 | self.timeZone = int(header['nTimezone'][0]) |
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172 | 175 | self.dstFlag = int(header['nDstflag'][0]) |
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173 | 176 | self.errorCount = int(header['nErrorCount'][0]) |
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174 | ||
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177 | ||
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175 | 178 | if self.size < 24: |
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176 | 179 | return 0 |
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177 | 180 | |
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178 | 181 | self.length = header.nbytes |
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179 | 182 | return 1 |
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180 | ||
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183 | ||
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181 | 184 | def write(self, fp): |
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182 | ||
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183 |
headerTuple = (self.size,self.version,self.dataBlock,self.utc, |
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184 | header = numpy.array(headerTuple, BASIC_STRUCTURE) | |
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185 | ||
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186 | headerTuple = (self.size, self.version, self.dataBlock, self.utc, | |
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187 | self.miliSecond, self.timeZone, self.dstFlag, self.errorCount) | |
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188 | header = numpy.array(headerTuple, BASIC_STRUCTURE) | |
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185 | 189 | header.tofile(fp) |
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186 | ||
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190 | ||
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187 | 191 | return 1 |
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188 | ||
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192 | ||
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189 | 193 | def get_ltc(self): |
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190 | ||
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191 | return self.utc - self.timeZone*60 | |
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192 | ||
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194 | ||
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195 | return self.utc - self.timeZone * 60 | |
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196 | ||
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193 | 197 | def set_ltc(self, value): |
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194 | ||
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195 | self.utc = value + self.timeZone*60 | |
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196 | ||
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198 | ||
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199 | self.utc = value + self.timeZone * 60 | |
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200 | ||
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197 | 201 | def get_datatime(self): |
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198 | ||
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202 | ||
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199 | 203 | return datetime.datetime.utcfromtimestamp(self.ltc) |
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200 | ||
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204 | ||
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201 | 205 | ltc = property(get_ltc, set_ltc) |
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202 | 206 | datatime = property(get_datatime) |
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203 | 207 | |
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208 | ||
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204 | 209 | class SystemHeader(Header): |
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205 | ||
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210 | ||
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206 | 211 | size = None |
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207 | 212 | nSamples = None |
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208 | 213 | nProfiles = None |
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209 | 214 | nChannels = None |
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210 | 215 | adcResolution = None |
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211 | 216 | pciDioBusWidth = None |
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212 | 217 | structure = SYSTEM_STRUCTURE |
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213 | 218 | |
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214 | 219 | def __init__(self, nSamples=0, nProfiles=0, nChannels=0, adcResolution=14, pciDioBusWidth=0): |
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215 | ||
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216 |
self.size = 24 |
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220 | ||
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221 | self.size = 24 | |
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217 | 222 | self.nSamples = nSamples |
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218 | 223 | self.nProfiles = nProfiles |
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219 | 224 | self.nChannels = nChannels |
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220 | 225 | self.adcResolution = adcResolution |
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221 | 226 | self.pciDioBusWidth = pciDioBusWidth |
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222 | 227 | |
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223 | 228 | def read(self, fp): |
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224 | 229 | self.length = 0 |
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225 | 230 | try: |
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226 | 231 | startFp = fp.tell() |
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227 | 232 | except Exception, e: |
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228 | 233 | startFp = None |
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229 | 234 | pass |
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230 | 235 | |
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231 | 236 | try: |
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232 | 237 | if hasattr(fp, 'read'): |
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233 | header = numpy.fromfile(fp, SYSTEM_STRUCTURE,1) | |
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238 | header = numpy.fromfile(fp, SYSTEM_STRUCTURE, 1) | |
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234 | 239 | else: |
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235 | header = numpy.fromstring(fp, SYSTEM_STRUCTURE,1) | |
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240 | header = numpy.fromstring(fp, SYSTEM_STRUCTURE, 1) | |
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236 | 241 | except Exception, e: |
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237 | 242 | print "System Header: " + str(e) |
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238 | 243 | return 0 |
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239 | ||
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244 | ||
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240 | 245 | self.size = header['nSize'][0] |
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241 | 246 | self.nSamples = header['nNumSamples'][0] |
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242 | 247 | self.nProfiles = header['nNumProfiles'][0] |
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243 | 248 | self.nChannels = header['nNumChannels'][0] |
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244 | 249 | self.adcResolution = header['nADCResolution'][0] |
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245 | 250 | self.pciDioBusWidth = header['nPCDIOBusWidth'][0] |
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246 | ||
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247 | ||
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251 | ||
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248 | 252 | if startFp is not None: |
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249 | 253 | endFp = self.size + startFp |
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250 | ||
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254 | ||
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251 | 255 | if fp.tell() > endFp: |
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252 | sys.stderr.write("Warning %s: Size value read from System Header is lower than it has to be\n" %fp.name) | |
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256 | sys.stderr.write( | |
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257 | "Warning %s: Size value read from System Header is lower than it has to be\n" % fp.name) | |
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253 | 258 | return 0 |
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254 | ||
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259 | ||
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255 | 260 | if fp.tell() < endFp: |
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256 | sys.stderr.write("Warning %s: Size value read from System Header size is greater than it has to be\n" %fp.name) | |
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261 | sys.stderr.write( | |
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262 | "Warning %s: Size value read from System Header size is greater than it has to be\n" % fp.name) | |
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257 | 263 | return 0 |
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258 | ||
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264 | ||
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259 | 265 | self.length = header.nbytes |
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260 | 266 | return 1 |
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261 | ||
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267 | ||
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262 | 268 | def write(self, fp): |
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263 | ||
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264 |
headerTuple = (self.size,self.nSamples,self.nProfiles, |
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265 | header = numpy.array(headerTuple,SYSTEM_STRUCTURE) | |
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269 | ||
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270 | headerTuple = (self.size, self.nSamples, self.nProfiles, | |
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271 | self.nChannels, self.adcResolution, self.pciDioBusWidth) | |
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272 | header = numpy.array(headerTuple, SYSTEM_STRUCTURE) | |
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266 | 273 | header.tofile(fp) |
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267 | ||
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274 | ||
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268 | 275 | return 1 |
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269 | 276 | |
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277 | ||
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270 | 278 | class RadarControllerHeader(Header): |
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271 | ||
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279 | ||
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272 | 280 | expType = None |
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273 | 281 | nTx = None |
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274 | 282 | ipp = None |
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275 | 283 | txA = None |
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276 | 284 | txB = None |
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277 | 285 | nWindows = None |
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278 | 286 | numTaus = None |
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279 | 287 | codeType = None |
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280 | 288 | line6Function = None |
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281 | 289 | line5Function = None |
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282 | 290 | fClock = None |
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283 | 291 | prePulseBefore = None |
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284 | 292 | prePulseAfter = None |
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285 | 293 | rangeIpp = None |
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286 | 294 | rangeTxA = None |
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287 | 295 | rangeTxB = None |
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288 | 296 | structure = RADAR_STRUCTURE |
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289 | 297 | __size = None |
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290 | ||
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298 | ||
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291 | 299 | def __init__(self, expType=2, nTx=1, |
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292 | 300 | ipp=None, txA=0, txB=0, |
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293 | 301 | nWindows=None, nHeights=None, firstHeight=None, deltaHeight=None, |
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294 | 302 | numTaus=0, line6Function=0, line5Function=0, fClock=None, |
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295 | 303 | prePulseBefore=0, prePulseAfter=0, |
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296 | 304 | codeType=0, nCode=0, nBaud=0, code=None, |
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297 | 305 | flip1=0, flip2=0): |
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298 | ||
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299 | # self.size = 116 | |
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306 | ||
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307 | # self.size = 116 | |
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300 | 308 | self.expType = expType |
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301 | 309 | self.nTx = nTx |
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302 | 310 | self.ipp = ipp |
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303 | 311 | self.txA = txA |
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304 | 312 | self.txB = txB |
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305 | 313 | self.rangeIpp = ipp |
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306 | 314 | self.rangeTxA = txA |
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307 | 315 | self.rangeTxB = txB |
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308 | ||
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316 | ||
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309 | 317 | self.nWindows = nWindows |
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310 | 318 | self.numTaus = numTaus |
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311 | 319 | self.codeType = codeType |
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312 | 320 | self.line6Function = line6Function |
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313 | 321 | self.line5Function = line5Function |
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314 | 322 | self.fClock = fClock |
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315 | 323 | self.prePulseBefore = prePulseBefore |
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316 | 324 | self.prePulseAfter = prePulseAfter |
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317 | ||
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325 | ||
|
|
318 | 326 | self.nHeights = nHeights |
|
|
319 | 327 | self.firstHeight = firstHeight |
|
|
320 | 328 | self.deltaHeight = deltaHeight |
|
|
321 | 329 | self.samplesWin = nHeights |
|
|
322 | ||
|
|
330 | ||
|
|
323 | 331 | self.nCode = nCode |
|
|
324 | 332 | self.nBaud = nBaud |
|
|
325 | 333 | self.code = code |
|
|
326 | 334 | self.flip1 = flip1 |
|
|
327 | 335 | self.flip2 = flip2 |
|
|
328 | ||
|
|
329 | self.code_size = int(numpy.ceil(self.nBaud/32.))*self.nCode*4 | |
|
|
336 | ||
|
|
337 | self.code_size = int(numpy.ceil(self.nBaud / 32.)) * self.nCode * 4 | |
|
|
330 | 338 | # self.dynamic = numpy.array([],numpy.dtype('byte')) |
|
|
331 | ||
|
|
339 | ||
|
|
332 | 340 | if self.fClock is None and self.deltaHeight is not None: |
|
|
333 |
self.fClock = 0.15/(deltaHeight*1e-6) |
|
|
|
341 | self.fClock = 0.15 / (deltaHeight * 1e-6) # 0.15Km / (height * 1u) | |
|
|
334 | 342 | |
|
|
335 | 343 | def read(self, fp): |
|
|
336 | 344 | self.length = 0 |
|
|
337 | 345 | try: |
|
|
338 | 346 | startFp = fp.tell() |
|
|
339 | 347 | except Exception, e: |
|
|
340 | 348 | startFp = None |
|
|
341 | 349 | pass |
|
|
342 | 350 | |
|
|
343 | 351 | try: |
|
|
344 | 352 | if hasattr(fp, 'read'): |
|
|
345 | header = numpy.fromfile(fp, RADAR_STRUCTURE,1) | |
|
|
353 | header = numpy.fromfile(fp, RADAR_STRUCTURE, 1) | |
|
|
346 | 354 | else: |
|
|
347 | header = numpy.fromstring(fp, RADAR_STRUCTURE,1) | |
|
|
355 | header = numpy.fromstring(fp, RADAR_STRUCTURE, 1) | |
|
|
348 | 356 | self.length += header.nbytes |
|
|
349 | 357 | except Exception, e: |
|
|
350 | 358 | print "RadarControllerHeader: " + str(e) |
|
|
351 | 359 | return 0 |
|
|
352 | ||
|
|
360 | ||
|
|
353 | 361 | size = int(header['nSize'][0]) |
|
|
354 | 362 | self.expType = int(header['nExpType'][0]) |
|
|
355 | 363 | self.nTx = int(header['nNTx'][0]) |
|
|
356 | 364 | self.ipp = float(header['fIpp'][0]) |
|
|
357 | 365 | self.txA = float(header['fTxA'][0]) |
|
|
358 | 366 | self.txB = float(header['fTxB'][0]) |
|
|
359 | 367 | self.nWindows = int(header['nNumWindows'][0]) |
|
|
360 | 368 | self.numTaus = int(header['nNumTaus'][0]) |
|
|
361 | 369 | self.codeType = int(header['nCodeType'][0]) |
|
|
362 | 370 | self.line6Function = int(header['nLine6Function'][0]) |
|
|
363 | 371 | self.line5Function = int(header['nLine5Function'][0]) |
|
|
364 | 372 | self.fClock = float(header['fClock'][0]) |
|
|
365 | 373 | self.prePulseBefore = int(header['nPrePulseBefore'][0]) |
|
|
366 | 374 | self.prePulseAfter = int(header['nPrePulseAfter'][0]) |
|
|
367 | 375 | self.rangeIpp = header['sRangeIPP'][0] |
|
|
368 | 376 | self.rangeTxA = header['sRangeTxA'][0] |
|
|
369 | 377 | self.rangeTxB = header['sRangeTxB'][0] |
|
|
370 | ||
|
|
378 | ||
|
|
371 | 379 | try: |
|
|
372 | 380 | if hasattr(fp, 'read'): |
|
|
373 |
samplingWindow = numpy.fromfile( |
|
|
|
381 | samplingWindow = numpy.fromfile( | |
|
|
382 | fp, SAMPLING_STRUCTURE, self.nWindows) | |
|
|
374 | 383 | else: |
|
|
375 |
samplingWindow = numpy.fromstring( |
|
|
|
384 | samplingWindow = numpy.fromstring( | |
|
|
385 | fp[self.length:], SAMPLING_STRUCTURE, self.nWindows) | |
|
|
376 | 386 | self.length += samplingWindow.nbytes |
|
|
377 | 387 | except Exception, e: |
|
|
378 | 388 | print "RadarControllerHeader: " + str(e) |
|
|
379 | 389 | return 0 |
|
|
380 | 390 | self.nHeights = int(numpy.sum(samplingWindow['nsa'])) |
|
|
381 | 391 | self.firstHeight = samplingWindow['h0'] |
|
|
382 | 392 | self.deltaHeight = samplingWindow['dh'] |
|
|
383 | 393 | self.samplesWin = samplingWindow['nsa'] |
|
|
384 | ||
|
|
385 | ||
|
|
386 | 394 | |
|
|
387 | 395 | try: |
|
|
388 | 396 | if hasattr(fp, 'read'): |
|
|
389 | 397 | self.Taus = numpy.fromfile(fp, '<f4', self.numTaus) |
|
|
390 | 398 | else: |
|
|
391 |
self.Taus = numpy.fromstring( |
|
|
|
399 | self.Taus = numpy.fromstring( | |
|
|
400 | fp[self.length:], '<f4', self.numTaus) | |
|
|
392 | 401 | self.length += self.Taus.nbytes |
|
|
393 | 402 | except Exception, e: |
|
|
394 | 403 | print "RadarControllerHeader: " + str(e) |
|
|
395 | 404 | return 0 |
|
|
396 | ||
|
|
397 | ||
|
|
398 | ||
|
|
405 | ||
|
|
399 | 406 | self.code_size = 0 |
|
|
400 | 407 | if self.codeType != 0: |
|
|
401 | ||
|
|
408 | ||
|
|
402 | 409 | try: |
|
|
403 | 410 | if hasattr(fp, 'read'): |
|
|
404 | 411 | self.nCode = numpy.fromfile(fp, '<u4', 1)[0] |
|
|
405 | 412 | self.length += self.nCode.nbytes |
|
|
406 | 413 | self.nBaud = numpy.fromfile(fp, '<u4', 1)[0] |
|
|
407 | 414 | self.length += self.nBaud.nbytes |
|
|
408 | 415 | else: |
|
|
409 |
self.nCode = numpy.fromstring( |
|
|
|
416 | self.nCode = numpy.fromstring( | |
|
|
417 | fp[self.length:], '<u4', 1)[0] | |
|
|
410 | 418 | self.length += self.nCode.nbytes |
|
|
411 |
self.nBaud = numpy.fromstring( |
|
|
|
419 | self.nBaud = numpy.fromstring( | |
|
|
420 | fp[self.length:], '<u4', 1)[0] | |
|
|
412 | 421 | self.length += self.nBaud.nbytes |
|
|
413 | 422 | except Exception, e: |
|
|
414 | 423 | print "RadarControllerHeader: " + str(e) |
|
|
415 |
return 0 |
|
|
|
416 | code = numpy.empty([self.nCode,self.nBaud],dtype='i1') | |
|
|
417 | ||
|
|
424 | return 0 | |
|
|
425 | code = numpy.empty([self.nCode, self.nBaud], dtype='i1') | |
|
|
426 | ||
|
|
418 | 427 | for ic in range(self.nCode): |
|
|
419 | 428 | try: |
|
|
420 | 429 | if hasattr(fp, 'read'): |
|
|
421 |
temp = numpy.fromfile(fp,'u4', int( |
|
|
|
430 | temp = numpy.fromfile(fp, 'u4', int( | |
|
|
431 | numpy.ceil(self.nBaud / 32.))) | |
|
|
422 | 432 | else: |
|
|
423 |
temp = numpy.fromstring( |
|
|
|
433 | temp = numpy.fromstring( | |
|
|
434 | fp, 'u4', int(numpy.ceil(self.nBaud / 32.))) | |
|
|
424 | 435 | self.length += temp.nbytes |
|
|
425 | 436 | except Exception, e: |
|
|
426 | 437 | print "RadarControllerHeader: " + str(e) |
|
|
427 | 438 | return 0 |
|
|
428 | 439 | |
|
|
429 |
for ib in range(self.nBaud-1, |
|
|
|
430 | code[ic,ib] = temp[ib/32]%2 | |
|
|
431 | temp[ib/32] = temp[ib/32]/2 | |
|
|
432 | ||
|
|
433 | self.code = 2.0*code - 1.0 | |
|
|
434 | self.code_size = int(numpy.ceil(self.nBaud/32.))*self.nCode*4 | |
|
|
435 | ||
|
|
440 | for ib in range(self.nBaud - 1, -1, -1): | |
|
|
441 | code[ic, ib] = temp[ib / 32] % 2 | |
|
|
442 | temp[ib / 32] = temp[ib / 32] / 2 | |
|
|
443 | ||
|
|
444 | self.code = 2.0 * code - 1.0 | |
|
|
445 | self.code_size = int(numpy.ceil(self.nBaud / 32.)) * self.nCode * 4 | |
|
|
446 | ||
|
|
436 | 447 | # if self.line5Function == RCfunction.FLIP: |
|
|
437 | 448 | # self.flip1 = numpy.fromfile(fp,'<u4',1) |
|
|
438 | # | |
|
|
449 | # | |
|
|
439 | 450 | # if self.line6Function == RCfunction.FLIP: |
|
|
440 | 451 | # self.flip2 = numpy.fromfile(fp,'<u4',1) |
|
|
441 | 452 | if startFp is not None: |
|
|
442 | 453 | endFp = size + startFp |
|
|
443 | ||
|
|
454 | ||
|
|
444 | 455 | if fp.tell() != endFp: |
|
|
445 | # fp.seek(endFp) | |
|
|
446 | print "%s: Radar Controller Header size is not consistent: from data [%d] != from header field [%d]" %(fp.name, fp.tell()-startFp, size) | |
|
|
456 | # fp.seek(endFp) | |
|
|
457 | print "%s: Radar Controller Header size is not consistent: from data [%d] != from header field [%d]" % (fp.name, fp.tell() - startFp, size) | |
|
|
447 | 458 | # return 0 |
|
|
448 | 459 | |
|
|
449 | 460 | if fp.tell() > endFp: |
|
|
450 | sys.stderr.write("Warning %s: Size value read from Radar Controller header is lower than it has to be\n" %fp.name) | |
|
|
461 | sys.stderr.write( | |
|
|
462 | "Warning %s: Size value read from Radar Controller header is lower than it has to be\n" % fp.name) | |
|
|
451 | 463 | # return 0 |
|
|
452 | ||
|
|
464 | ||
|
|
453 | 465 | if fp.tell() < endFp: |
|
|
454 | sys.stderr.write("Warning %s: Size value read from Radar Controller header is greater than it has to be\n" %fp.name) | |
|
|
455 | ||
|
|
456 | ||
|
|
466 | sys.stderr.write( | |
|
|
467 | "Warning %s: Size value read from Radar Controller header is greater than it has to be\n" % fp.name) | |
|
|
468 | ||
|
|
457 | 469 | return 1 |
|
|
458 | ||
|
|
470 | ||
|
|
459 | 471 | def write(self, fp): |
|
|
460 | ||
|
|
472 | ||
|
|
461 | 473 | headerTuple = (self.size, |
|
|
462 | 474 | self.expType, |
|
|
463 | 475 | self.nTx, |
|
|
464 | 476 | self.ipp, |
|
|
465 | 477 | self.txA, |
|
|
466 | 478 | self.txB, |
|
|
467 | 479 | self.nWindows, |
|
|
468 | 480 | self.numTaus, |
|
|
469 | 481 | self.codeType, |
|
|
470 | 482 | self.line6Function, |
|
|
471 | 483 | self.line5Function, |
|
|
472 | 484 | self.fClock, |
|
|
473 | 485 | self.prePulseBefore, |
|
|
474 | 486 | self.prePulseAfter, |
|
|
475 | 487 | self.rangeIpp, |
|
|
476 | 488 | self.rangeTxA, |
|
|
477 | 489 | self.rangeTxB) |
|
|
478 | ||
|
|
479 | header = numpy.array(headerTuple,RADAR_STRUCTURE) | |
|
|
490 | ||
|
|
491 | header = numpy.array(headerTuple, RADAR_STRUCTURE) | |
|
|
480 | 492 | header.tofile(fp) |
|
|
481 | ||
|
|
482 | sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin) | |
|
|
483 | samplingWindow = numpy.array(sampleWindowTuple,SAMPLING_STRUCTURE) | |
|
|
493 | ||
|
|
494 | sampleWindowTuple = ( | |
|
|
495 | self.firstHeight, self.deltaHeight, self.samplesWin) | |
|
|
496 | samplingWindow = numpy.array(sampleWindowTuple, SAMPLING_STRUCTURE) | |
|
|
484 | 497 | samplingWindow.tofile(fp) |
|
|
485 | ||
|
|
498 | ||
|
|
486 | 499 | if self.numTaus > 0: |
|
|
487 | 500 | self.Taus.tofile(fp) |
|
|
488 | ||
|
|
489 | if self.codeType !=0: | |
|
|
501 | ||
|
|
502 | if self.codeType != 0: | |
|
|
490 | 503 | nCode = numpy.array(self.nCode, '<u4') |
|
|
491 | 504 | nCode.tofile(fp) |
|
|
492 | 505 | nBaud = numpy.array(self.nBaud, '<u4') |
|
|
493 | 506 | nBaud.tofile(fp) |
|
|
494 | code1 = (self.code + 1.0)/2. | |
|
|
495 | ||
|
|
507 | code1 = (self.code + 1.0) / 2. | |
|
|
508 | ||
|
|
496 | 509 | for ic in range(self.nCode): |
|
|
497 | tempx = numpy.zeros(numpy.ceil(self.nBaud/32.)) | |
|
|
510 | tempx = numpy.zeros(numpy.ceil(self.nBaud / 32.)) | |
|
|
498 | 511 | start = 0 |
|
|
499 | 512 | end = 32 |
|
|
500 | 513 | for i in range(len(tempx)): |
|
|
501 | code_selected = code1[ic,start:end] | |
|
|
502 |
for j in range(len(code_selected)-1, |
|
|
|
514 | code_selected = code1[ic, start:end] | |
|
|
515 | for j in range(len(code_selected) - 1, -1, -1): | |
|
|
503 | 516 | if code_selected[j] == 1: |
|
|
504 |
tempx[i] = tempx[i] + |
|
|
|
517 | tempx[i] = tempx[i] + \ | |
|
|
518 | 2**(len(code_selected) - 1 - j) | |
|
|
505 | 519 | start = start + 32 |
|
|
506 | 520 | end = end + 32 |
|
|
507 | ||
|
|
521 | ||
|
|
508 | 522 | tempx = tempx.astype('u4') |
|
|
509 | 523 | tempx.tofile(fp) |
|
|
510 | ||
|
|
524 | ||
|
|
511 | 525 | # if self.line5Function == RCfunction.FLIP: |
|
|
512 | 526 | # self.flip1.tofile(fp) |
|
|
513 |
# |
|
|
|
527 | # | |
|
|
514 | 528 | # if self.line6Function == RCfunction.FLIP: |
|
|
515 | 529 | # self.flip2.tofile(fp) |
|
|
516 | ||
|
|
530 | ||
|
|
517 | 531 | return 1 |
|
|
518 | 532 | |
|
|
519 | 533 | def get_ippSeconds(self): |
|
|
520 | 534 | ''' |
|
|
521 | 535 | ''' |
|
|
522 | 536 | ippSeconds = 2.0 * 1000 * self.ipp / SPEED_OF_LIGHT |
|
|
523 | ||
|
|
537 | ||
|
|
524 | 538 | return ippSeconds |
|
|
525 | ||
|
|
539 | ||
|
|
526 | 540 | def set_ippSeconds(self, ippSeconds): |
|
|
527 | 541 | ''' |
|
|
528 | 542 | ''' |
|
|
529 | ||
|
|
530 | self.ipp = ippSeconds * SPEED_OF_LIGHT / (2.0*1000) | |
|
|
531 | ||
|
|
543 | ||
|
|
544 | self.ipp = ippSeconds * SPEED_OF_LIGHT / (2.0 * 1000) | |
|
|
545 | ||
|
|
532 | 546 | return |
|
|
533 | ||
|
|
547 | ||
|
|
534 | 548 | def get_size(self): |
|
|
535 | ||
|
|
536 | self.__size = 116 + 12*self.nWindows + 4*self.numTaus | |
|
|
537 | ||
|
|
549 | ||
|
|
550 | self.__size = 116 + 12 * self.nWindows + 4 * self.numTaus | |
|
|
551 | ||
|
|
538 | 552 | if self.codeType != 0: |
|
|
539 |
self.__size += 4 + 4 + 4*self.nCode* |
|
|
|
540 | ||
|
|
553 | self.__size += 4 + 4 + 4 * self.nCode * \ | |
|
|
554 | numpy.ceil(self.nBaud / 32.) | |
|
|
555 | ||
|
|
541 | 556 | return self.__size |
|
|
542 | ||
|
|
557 | ||
|
|
543 | 558 | def set_size(self, value): |
|
|
544 | ||
|
|
559 | ||
|
|
545 | 560 | raise IOError, "size is a property and it cannot be set, just read" |
|
|
546 | ||
|
|
561 | ||
|
|
547 | 562 | return |
|
|
548 | ||
|
|
563 | ||
|
|
549 | 564 | ippSeconds = property(get_ippSeconds, set_ippSeconds) |
|
|
550 | 565 | size = property(get_size, set_size) |
|
|
551 | 566 | |
|
|
567 | ||
|
|
552 | 568 | class ProcessingHeader(Header): |
|
|
553 | ||
|
|
554 | # size = None | |
|
|
569 | ||
|
|
570 | # size = None | |
|
|
555 | 571 | dtype = None |
|
|
556 | 572 | blockSize = None |
|
|
557 | 573 | profilesPerBlock = None |
|
|
558 | 574 | dataBlocksPerFile = None |
|
|
559 | 575 | nWindows = None |
|
|
560 | 576 | processFlags = None |
|
|
561 | 577 | nCohInt = None |
|
|
562 | 578 | nIncohInt = None |
|
|
563 | 579 | totalSpectra = None |
|
|
564 | 580 | structure = PROCESSING_STRUCTURE |
|
|
565 | 581 | flag_dc = None |
|
|
566 | 582 | flag_cspc = None |
|
|
567 | ||
|
|
568 | def __init__(self, dtype=0, blockSize=0, profilesPerBlock=0, dataBlocksPerFile=0, nWindows=0,processFlags=0, nCohInt=0, | |
|
|
569 | nIncohInt=0, totalSpectra=0, nHeights=0, firstHeight=0, deltaHeight=0, samplesWin=0, spectraComb=0, nCode=0, | |
|
|
570 | code=0, nBaud=None, shif_fft=False, flag_dc=False, flag_cspc=False, flag_decode=False, flag_deflip=False | |
|
|
571 | ): | |
|
|
572 | ||
|
|
573 | # self.size = 0 | |
|
|
583 | ||
|
|
584 | def __init__(self, dtype=0, blockSize=0, profilesPerBlock=0, dataBlocksPerFile=0, nWindows=0, processFlags=0, nCohInt=0, | |
|
|
585 | nIncohInt=0, totalSpectra=0, nHeights=0, firstHeight=0, deltaHeight=0, samplesWin=0, spectraComb=0, nCode=0, | |
|
|
586 | code=0, nBaud=None, shif_fft=False, flag_dc=False, flag_cspc=False, flag_decode=False, flag_deflip=False | |
|
|
587 | ): | |
|
|
588 | ||
|
|
589 | # self.size = 0 | |
|
|
574 | 590 | self.dtype = dtype |
|
|
575 | 591 | self.blockSize = blockSize |
|
|
576 | 592 | self.profilesPerBlock = 0 |
|
|
577 | 593 | self.dataBlocksPerFile = 0 |
|
|
578 | 594 | self.nWindows = 0 |
|
|
579 | 595 | self.processFlags = 0 |
|
|
580 | 596 | self.nCohInt = 0 |
|
|
581 | 597 | self.nIncohInt = 0 |
|
|
582 | 598 | self.totalSpectra = 0 |
|
|
583 | ||
|
|
599 | ||
|
|
584 | 600 | self.nHeights = 0 |
|
|
585 | 601 | self.firstHeight = 0 |
|
|
586 | 602 | self.deltaHeight = 0 |
|
|
587 | 603 | self.samplesWin = 0 |
|
|
588 | 604 | self.spectraComb = 0 |
|
|
589 | 605 | self.nCode = None |
|
|
590 | 606 | self.code = None |
|
|
591 | 607 | self.nBaud = None |
|
|
592 | ||
|
|
608 | ||
|
|
593 | 609 | self.shif_fft = False |
|
|
594 | 610 | self.flag_dc = False |
|
|
595 | 611 | self.flag_cspc = False |
|
|
596 | 612 | self.flag_decode = False |
|
|
597 | 613 | self.flag_deflip = False |
|
|
598 | 614 | self.length = 0 |
|
|
599 | 615 | |
|
|
600 | 616 | def read(self, fp): |
|
|
601 | 617 | self.length = 0 |
|
|
602 | 618 | try: |
|
|
603 | 619 | startFp = fp.tell() |
|
|
604 | 620 | except Exception, e: |
|
|
605 | 621 | startFp = None |
|
|
606 | 622 | pass |
|
|
607 | ||
|
|
623 | ||
|
|
608 | 624 | try: |
|
|
609 | 625 | if hasattr(fp, 'read'): |
|
|
610 | 626 | header = numpy.fromfile(fp, PROCESSING_STRUCTURE, 1) |
|
|
611 | 627 | else: |
|
|
612 | 628 | header = numpy.fromstring(fp, PROCESSING_STRUCTURE, 1) |
|
|
613 | 629 | self.length += header.nbytes |
|
|
614 | 630 | except Exception, e: |
|
|
615 | 631 | print "ProcessingHeader: " + str(e) |
|
|
616 | 632 | return 0 |
|
|
617 | ||
|
|
633 | ||
|
|
618 | 634 | size = int(header['nSize'][0]) |
|
|
619 | 635 | self.dtype = int(header['nDataType'][0]) |
|
|
620 | 636 | self.blockSize = int(header['nSizeOfDataBlock'][0]) |
|
|
621 | 637 | self.profilesPerBlock = int(header['nProfilesperBlock'][0]) |
|
|
622 | 638 | self.dataBlocksPerFile = int(header['nDataBlocksperFile'][0]) |
|
|
623 | 639 | self.nWindows = int(header['nNumWindows'][0]) |
|
|
624 | 640 | self.processFlags = header['nProcessFlags'] |
|
|
625 | 641 | self.nCohInt = int(header['nCoherentIntegrations'][0]) |
|
|
626 | 642 | self.nIncohInt = int(header['nIncoherentIntegrations'][0]) |
|
|
627 | 643 | self.totalSpectra = int(header['nTotalSpectra'][0]) |
|
|
628 | ||
|
|
644 | ||
|
|
629 | 645 | try: |
|
|
630 | 646 | if hasattr(fp, 'read'): |
|
|
631 |
samplingWindow = numpy.fromfile( |
|
|
|
647 | samplingWindow = numpy.fromfile( | |
|
|
648 | fp, SAMPLING_STRUCTURE, self.nWindows) | |
|
|
632 | 649 | else: |
|
|
633 |
samplingWindow = numpy.fromstring( |
|
|
|
650 | samplingWindow = numpy.fromstring( | |
|
|
651 | fp[self.length:], SAMPLING_STRUCTURE, self.nWindows) | |
|
|
634 | 652 | self.length += samplingWindow.nbytes |
|
|
635 | 653 | except Exception, e: |
|
|
636 | 654 | print "ProcessingHeader: " + str(e) |
|
|
637 | 655 | return 0 |
|
|
638 | ||
|
|
656 | ||
|
|
639 | 657 | self.nHeights = int(numpy.sum(samplingWindow['nsa'])) |
|
|
640 | 658 | self.firstHeight = float(samplingWindow['h0'][0]) |
|
|
641 | 659 | self.deltaHeight = float(samplingWindow['dh'][0]) |
|
|
642 | 660 | self.samplesWin = samplingWindow['nsa'][0] |
|
|
643 | ||
|
|
644 | 661 | |
|
|
645 | 662 | try: |
|
|
646 | 663 | if hasattr(fp, 'read'): |
|
|
647 |
self.spectraComb = numpy.fromfile( |
|
|
|
664 | self.spectraComb = numpy.fromfile( | |
|
|
665 | fp, 'u1', 2 * self.totalSpectra) | |
|
|
648 | 666 | else: |
|
|
649 |
self.spectraComb = numpy.fromstring( |
|
|
|
667 | self.spectraComb = numpy.fromstring( | |
|
|
668 | fp[self.length:], 'u1', 2 * self.totalSpectra) | |
|
|
650 | 669 | self.length += self.spectraComb.nbytes |
|
|
651 | 670 | except Exception, e: |
|
|
652 | 671 | print "ProcessingHeader: " + str(e) |
|
|
653 | 672 | return 0 |
|
|
654 | ||
|
|
673 | ||
|
|
655 | 674 | if ((self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE) == PROCFLAG.DEFINE_PROCESS_CODE): |
|
|
656 | self.nCode = int(numpy.fromfile(fp,'<u4',1)) | |
|
|
657 | self.nBaud = int(numpy.fromfile(fp,'<u4',1)) | |
|
|
658 | self.code = numpy.fromfile(fp,'<f4',self.nCode*self.nBaud).reshape(self.nCode,self.nBaud) | |
|
|
659 | ||
|
|
675 | self.nCode = int(numpy.fromfile(fp, '<u4', 1)) | |
|
|
676 | self.nBaud = int(numpy.fromfile(fp, '<u4', 1)) | |
|
|
677 | self.code = numpy.fromfile( | |
|
|
678 | fp, '<f4', self.nCode * self.nBaud).reshape(self.nCode, self.nBaud) | |
|
|
679 | ||
|
|
660 | 680 | if ((self.processFlags & PROCFLAG.EXP_NAME_ESP) == PROCFLAG.EXP_NAME_ESP): |
|
|
661 | exp_name_len = int(numpy.fromfile(fp,'<u4',1)) | |
|
|
662 | exp_name = numpy.fromfile(fp,'u1',exp_name_len+1) | |
|
|
663 | ||
|
|
681 | exp_name_len = int(numpy.fromfile(fp, '<u4', 1)) | |
|
|
682 | exp_name = numpy.fromfile(fp, 'u1', exp_name_len + 1) | |
|
|
683 | ||
|
|
664 | 684 | if ((self.processFlags & PROCFLAG.SHIFT_FFT_DATA) == PROCFLAG.SHIFT_FFT_DATA): |
|
|
665 | 685 | self.shif_fft = True |
|
|
666 | 686 | else: |
|
|
667 | 687 | self.shif_fft = False |
|
|
668 | ||
|
|
688 | ||
|
|
669 | 689 | if ((self.processFlags & PROCFLAG.SAVE_CHANNELS_DC) == PROCFLAG.SAVE_CHANNELS_DC): |
|
|
670 | 690 | self.flag_dc = True |
|
|
671 | 691 | else: |
|
|
672 | 692 | self.flag_dc = False |
|
|
673 | ||
|
|
693 | ||
|
|
674 | 694 | if ((self.processFlags & PROCFLAG.DECODE_DATA) == PROCFLAG.DECODE_DATA): |
|
|
675 | 695 | self.flag_decode = True |
|
|
676 | 696 | else: |
|
|
677 | 697 | self.flag_decode = False |
|
|
678 | ||
|
|
698 | ||
|
|
679 | 699 | if ((self.processFlags & PROCFLAG.DEFLIP_DATA) == PROCFLAG.DEFLIP_DATA): |
|
|
680 | 700 | self.flag_deflip = True |
|
|
681 | 701 | else: |
|
|
682 | 702 | self.flag_deflip = False |
|
|
683 | ||
|
|
703 | ||
|
|
684 | 704 | nChannels = 0 |
|
|
685 | 705 | nPairs = 0 |
|
|
686 | 706 | pairList = [] |
|
|
687 | ||
|
|
688 |
for i in range( |
|
|
|
689 | if self.spectraComb[i] == self.spectraComb[i+1]: | |
|
|
690 |
nChannels = nChannels + 1 |
|
|
|
707 | ||
|
|
708 | for i in range(0, self.totalSpectra * 2, 2): | |
|
|
709 | if self.spectraComb[i] == self.spectraComb[i + 1]: | |
|
|
710 | nChannels = nChannels + 1 # par de canales iguales | |
|
|
691 | 711 | else: |
|
|
692 | nPairs = nPairs + 1 #par de canales diferentes | |
|
|
693 |
pairList.append( |
|
|
|
694 | ||
|
|
712 | nPairs = nPairs + 1 # par de canales diferentes | |
|
|
713 | pairList.append((self.spectraComb[i], self.spectraComb[i + 1])) | |
|
|
714 | ||
|
|
695 | 715 | self.flag_cspc = False |
|
|
696 | 716 | if nPairs > 0: |
|
|
697 | 717 | self.flag_cspc = True |
|
|
698 | ||
|
|
699 | ||
|
|
700 | ||
|
|
718 | ||
|
|
701 | 719 | if startFp is not None: |
|
|
702 | 720 | endFp = size + startFp |
|
|
703 | 721 | if fp.tell() > endFp: |
|
|
704 | sys.stderr.write("Warning: Processing header size is lower than it has to be") | |
|
|
722 | sys.stderr.write( | |
|
|
723 | "Warning: Processing header size is lower than it has to be") | |
|
|
705 | 724 | return 0 |
|
|
706 | ||
|
|
725 | ||
|
|
707 | 726 | if fp.tell() < endFp: |
|
|
708 | sys.stderr.write("Warning: Processing header size is greater than it is considered") | |
|
|
709 | ||
|
|
727 | sys.stderr.write( | |
|
|
728 | "Warning: Processing header size is greater than it is considered") | |
|
|
729 | ||
|
|
710 | 730 | return 1 |
|
|
711 | ||
|
|
731 | ||
|
|
712 | 732 | def write(self, fp): |
|
|
713 | #Clear DEFINE_PROCESS_CODE | |
|
|
733 | # Clear DEFINE_PROCESS_CODE | |
|
|
714 | 734 | self.processFlags = self.processFlags & (~PROCFLAG.DEFINE_PROCESS_CODE) |
|
|
715 | ||
|
|
735 | ||
|
|
716 | 736 | headerTuple = (self.size, |
|
|
717 | 737 | self.dtype, |
|
|
718 | 738 | self.blockSize, |
|
|
719 | 739 | self.profilesPerBlock, |
|
|
720 | 740 | self.dataBlocksPerFile, |
|
|
721 | 741 | self.nWindows, |
|
|
722 | 742 | self.processFlags, |
|
|
723 | 743 | self.nCohInt, |
|
|
724 | 744 | self.nIncohInt, |
|
|
725 | 745 | self.totalSpectra) |
|
|
726 | ||
|
|
727 |
header = numpy.array(headerTuple,PROCESSING_STRUCTURE) |
|
|
|
746 | ||
|
|
747 | header = numpy.array(headerTuple, PROCESSING_STRUCTURE) | |
|
|
728 | 748 | header.tofile(fp) |
|
|
729 | ||
|
|
749 | ||
|
|
730 | 750 | if self.nWindows != 0: |
|
|
731 | sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin) | |
|
|
732 | samplingWindow = numpy.array(sampleWindowTuple,SAMPLING_STRUCTURE) | |
|
|
751 | sampleWindowTuple = ( | |
|
|
752 | self.firstHeight, self.deltaHeight, self.samplesWin) | |
|
|
753 | samplingWindow = numpy.array(sampleWindowTuple, SAMPLING_STRUCTURE) | |
|
|
733 | 754 | samplingWindow.tofile(fp) |
|
|
734 | ||
|
|
755 | ||
|
|
735 | 756 | if self.totalSpectra != 0: |
|
|
736 | # spectraComb = numpy.array([],numpy.dtype('u1')) | |
|
|
757 | # spectraComb = numpy.array([],numpy.dtype('u1')) | |
|
|
737 | 758 | spectraComb = self.spectraComb |
|
|
738 | 759 | spectraComb.tofile(fp) |
|
|
739 | ||
|
|
760 | ||
|
|
740 | 761 | # if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE: |
|
|
741 | 762 | # nCode = numpy.array([self.nCode], numpy.dtype('u4')) #Probar con un dato que almacene codigo, hasta el momento no se hizo la prueba |
|
|
742 | 763 | # nCode.tofile(fp) |
|
|
743 | # | |
|
|
764 | # | |
|
|
744 | 765 | # nBaud = numpy.array([self.nBaud], numpy.dtype('u4')) |
|
|
745 | 766 | # nBaud.tofile(fp) |
|
|
746 | # | |
|
|
767 | # | |
|
|
747 | 768 | # code = self.code.reshape(self.nCode*self.nBaud) |
|
|
748 | 769 | # code = code.astype(numpy.dtype('<f4')) |
|
|
749 | 770 | # code.tofile(fp) |
|
|
750 | ||
|
|
771 | ||
|
|
751 | 772 | return 1 |
|
|
752 | 773 | |
|
|
753 | 774 | def get_size(self): |
|
|
754 | ||
|
|
755 | self.__size = 40 + 12*self.nWindows + 2*self.totalSpectra | |
|
|
756 | ||
|
|
775 | ||
|
|
776 | self.__size = 40 + 12 * self.nWindows + 2 * self.totalSpectra | |
|
|
777 | ||
|
|
757 | 778 | # if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE: |
|
|
758 | 779 | # self.__size += 4 + 4 + 4*self.nCode*numpy.ceil(self.nBaud/32.) |
|
|
759 | 780 | # self.__size += 4 + 4 + 4 * self.nCode * self.nBaud |
|
|
760 | ||
|
|
781 | ||
|
|
761 | 782 | return self.__size |
|
|
762 | ||
|
|
783 | ||
|
|
763 | 784 | def set_size(self, value): |
|
|
764 | ||
|
|
785 | ||
|
|
765 | 786 | raise IOError, "size is a property and it cannot be set, just read" |
|
|
766 | ||
|
|
787 | ||
|
|
767 | 788 | return |
|
|
768 | ||
|
|
789 | ||
|
|
769 | 790 | size = property(get_size, set_size) |
|
|
770 | ||
|
|
791 | ||
|
|
792 | ||
|
|
771 | 793 | class RCfunction: |
|
|
772 | NONE=0 | |
|
|
773 | FLIP=1 | |
|
|
774 | CODE=2 | |
|
|
775 | SAMPLING=3 | |
|
|
776 | LIN6DIV256=4 | |
|
|
777 | SYNCHRO=5 | |
|
|
794 | NONE = 0 | |
|
|
795 | FLIP = 1 | |
|
|
796 | CODE = 2 | |
|
|
797 | SAMPLING = 3 | |
|
|
798 | LIN6DIV256 = 4 | |
|
|
799 | SYNCHRO = 5 | |
|
|
800 | ||
|
|
778 | 801 | |
|
|
779 | 802 | class nCodeType: |
|
|
780 | NONE=0 | |
|
|
781 | USERDEFINE=1 | |
|
|
782 | BARKER2=2 | |
|
|
783 | BARKER3=3 | |
|
|
784 | BARKER4=4 | |
|
|
785 | BARKER5=5 | |
|
|
786 | BARKER7=6 | |
|
|
787 | BARKER11=7 | |
|
|
788 | BARKER13=8 | |
|
|
789 | AC128=9 | |
|
|
790 | COMPLEMENTARYCODE2=10 | |
|
|
791 | COMPLEMENTARYCODE4=11 | |
|
|
792 | COMPLEMENTARYCODE8=12 | |
|
|
793 | COMPLEMENTARYCODE16=13 | |
|
|
794 | COMPLEMENTARYCODE32=14 | |
|
|
795 | COMPLEMENTARYCODE64=15 | |
|
|
796 | COMPLEMENTARYCODE128=16 | |
|
|
797 | CODE_BINARY28=17 | |
|
|
798 | ||
|
|
799 | class PROCFLAG: | |
|
|
800 | ||
|
|
803 | NONE = 0 | |
|
|
804 | USERDEFINE = 1 | |
|
|
805 | BARKER2 = 2 | |
|
|
806 | BARKER3 = 3 | |
|
|
807 | BARKER4 = 4 | |
|
|
808 | BARKER5 = 5 | |
|
|
809 | BARKER7 = 6 | |
|
|
810 | BARKER11 = 7 | |
|
|
811 | BARKER13 = 8 | |
|
|
812 | AC128 = 9 | |
|
|
813 | COMPLEMENTARYCODE2 = 10 | |
|
|
814 | COMPLEMENTARYCODE4 = 11 | |
|
|
815 | COMPLEMENTARYCODE8 = 12 | |
|
|
816 | COMPLEMENTARYCODE16 = 13 | |
|
|
817 | COMPLEMENTARYCODE32 = 14 | |
|
|
818 | COMPLEMENTARYCODE64 = 15 | |
|
|
819 | COMPLEMENTARYCODE128 = 16 | |
|
|
820 | CODE_BINARY28 = 17 | |
|
|
821 | ||
|
|
822 | ||
|
|
823 | class PROCFLAG: | |
|
|
824 | ||
|
|
801 | 825 | COHERENT_INTEGRATION = numpy.uint32(0x00000001) |
|
|
802 |
DECODE_DATA = numpy.uint32(0x00000002) |
|
|
|
826 | DECODE_DATA = numpy.uint32(0x00000002) | |
|
|
803 | 827 | SPECTRA_CALC = numpy.uint32(0x00000004) |
|
|
804 |
INCOHERENT_INTEGRATION = numpy.uint32(0x00000008) |
|
|
|
828 | INCOHERENT_INTEGRATION = numpy.uint32(0x00000008) | |
|
|
805 | 829 | POST_COHERENT_INTEGRATION = numpy.uint32(0x00000010) |
|
|
806 | 830 | SHIFT_FFT_DATA = numpy.uint32(0x00000020) |
|
|
807 | ||
|
|
831 | ||
|
|
808 | 832 | DATATYPE_CHAR = numpy.uint32(0x00000040) |
|
|
809 | 833 | DATATYPE_SHORT = numpy.uint32(0x00000080) |
|
|
810 | 834 | DATATYPE_LONG = numpy.uint32(0x00000100) |
|
|
811 | 835 | DATATYPE_INT64 = numpy.uint32(0x00000200) |
|
|
812 | 836 | DATATYPE_FLOAT = numpy.uint32(0x00000400) |
|
|
813 | 837 | DATATYPE_DOUBLE = numpy.uint32(0x00000800) |
|
|
814 | ||
|
|
815 |
DATAARRANGE_CONTIGUOUS_CH = numpy.uint32(0x00001000) |
|
|
|
816 |
DATAARRANGE_CONTIGUOUS_H = numpy.uint32(0x00002000) |
|
|
|
817 |
DATAARRANGE_CONTIGUOUS_P = numpy.uint32(0x00004000) |
|
|
|
818 | ||
|
|
838 | ||
|
|
839 | DATAARRANGE_CONTIGUOUS_CH = numpy.uint32(0x00001000) | |
|
|
840 | DATAARRANGE_CONTIGUOUS_H = numpy.uint32(0x00002000) | |
|
|
841 | DATAARRANGE_CONTIGUOUS_P = numpy.uint32(0x00004000) | |
|
|
842 | ||
|
|
819 | 843 | SAVE_CHANNELS_DC = numpy.uint32(0x00008000) |
|
|
820 |
DEFLIP_DATA = numpy.uint32(0x00010000) |
|
|
|
821 |
DEFINE_PROCESS_CODE = numpy.uint32(0x00020000) |
|
|
|
822 | ||
|
|
844 | DEFLIP_DATA = numpy.uint32(0x00010000) | |
|
|
845 | DEFINE_PROCESS_CODE = numpy.uint32(0x00020000) | |
|
|
846 | ||
|
|
823 | 847 | ACQ_SYS_NATALIA = numpy.uint32(0x00040000) |
|
|
824 | 848 | ACQ_SYS_ECHOTEK = numpy.uint32(0x00080000) |
|
|
825 | 849 | ACQ_SYS_ADRXD = numpy.uint32(0x000C0000) |
|
|
826 | 850 | ACQ_SYS_JULIA = numpy.uint32(0x00100000) |
|
|
827 | 851 | ACQ_SYS_XXXXXX = numpy.uint32(0x00140000) |
|
|
828 | ||
|
|
852 | ||
|
|
829 | 853 | EXP_NAME_ESP = numpy.uint32(0x00200000) |
|
|
830 | 854 | CHANNEL_NAMES_ESP = numpy.uint32(0x00400000) |
|
|
831 | ||
|
|
855 | ||
|
|
832 | 856 | OPERATION_MASK = numpy.uint32(0x0000003F) |
|
|
833 | 857 | DATATYPE_MASK = numpy.uint32(0x00000FC0) |
|
|
834 | 858 | DATAARRANGE_MASK = numpy.uint32(0x00007000) |
|
|
835 | 859 | ACQ_SYS_MASK = numpy.uint32(0x001C0000) |
|
|
836 | ||
|
|
837 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) | |
|
|
838 |
dtype |
|
|
|
839 |
dtype |
|
|
|
840 |
dtype |
|
|
|
841 |
dtype |
|
|
|
842 |
dtype |
|
|
|
860 | ||
|
|
861 | ||
|
|
862 | dtype0 = numpy.dtype([('real', '<i1'), ('imag', '<i1')]) | |
|
|
863 | dtype1 = numpy.dtype([('real', '<i2'), ('imag', '<i2')]) | |
|
|
864 | dtype2 = numpy.dtype([('real', '<i4'), ('imag', '<i4')]) | |
|
|
865 | dtype3 = numpy.dtype([('real', '<i8'), ('imag', '<i8')]) | |
|
|
866 | dtype4 = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) | |
|
|
867 | dtype5 = numpy.dtype([('real', '<f8'), ('imag', '<f8')]) | |
|
|
843 | 868 | |
|
|
844 | 869 | NUMPY_DTYPE_LIST = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
845 | 870 | |
|
|
846 |
PROCFLAG_DTYPE_LIST = |
|
|
|
847 |
PROCFLAG.DATATYPE_SHORT, |
|
|
|
848 |
PROCFLAG.DATATYPE_LONG, |
|
|
|
849 |
PROCFLAG.DATATYPE_INT64, |
|
|
|
850 |
PROCFLAG.DATATYPE_FLOAT, |
|
|
|
871 | PROCFLAG_DTYPE_LIST = [PROCFLAG.DATATYPE_CHAR, | |
|
|
872 | PROCFLAG.DATATYPE_SHORT, | |
|
|
873 | PROCFLAG.DATATYPE_LONG, | |
|
|
874 | PROCFLAG.DATATYPE_INT64, | |
|
|
875 | PROCFLAG.DATATYPE_FLOAT, | |
|
|
851 | 876 | PROCFLAG.DATATYPE_DOUBLE] |
|
|
852 | 877 | |
|
|
853 | 878 | DTYPE_WIDTH = [1, 2, 4, 8, 4, 8] |
|
|
854 | 879 | |
|
|
880 | ||
|
|
855 | 881 | def get_dtype_index(numpy_dtype): |
|
|
856 | ||
|
|
882 | ||
|
|
857 | 883 | index = None |
|
|
858 | ||
|
|
884 | ||
|
|
859 | 885 | for i in range(len(NUMPY_DTYPE_LIST)): |
|
|
860 | 886 | if numpy_dtype == NUMPY_DTYPE_LIST[i]: |
|
|
861 | 887 | index = i |
|
|
862 | 888 | break |
|
|
863 | ||
|
|
889 | ||
|
|
864 | 890 | return index |
|
|
865 | 891 | |
|
|
892 | ||
|
|
866 | 893 | def get_numpy_dtype(index): |
|
|
867 | ||
|
|
894 | ||
|
|
868 | 895 | return NUMPY_DTYPE_LIST[index] |
|
|
869 | 896 | |
|
|
897 | ||
|
|
870 | 898 | def get_procflag_dtype(index): |
|
|
871 | ||
|
|
899 | ||
|
|
872 | 900 | return PROCFLAG_DTYPE_LIST[index] |
|
|
873 | 901 | |
|
|
902 | ||
|
|
874 | 903 | def get_dtype_width(index): |
|
|
875 | ||
|
|
876 | return DTYPE_WIDTH[index] No newline at end of file | |
|
|
904 | ||
|
|
905 | return DTYPE_WIDTH[index] | |
| @@ -1,791 +1,800 | |||
|
|
1 | 1 | |
|
|
2 | 2 | ''' |
|
|
3 | 3 | Created on Jul 3, 2014 |
|
|
4 | 4 | |
|
|
5 | 5 | @author: roj-idl71 |
|
|
6 | 6 | ''' |
|
|
7 | 7 | # SUBCHANNELS EN VEZ DE CHANNELS |
|
|
8 | 8 | # BENCHMARKS -> PROBLEMAS CON ARCHIVOS GRANDES -> INCONSTANTE EN EL TIEMPO |
|
|
9 | 9 | # ACTUALIZACION DE VERSION |
|
|
10 | 10 | # HEADERS |
|
|
11 | 11 | # MODULO DE ESCRITURA |
|
|
12 | 12 | # METADATA |
|
|
13 | 13 | |
|
|
14 | 14 | import os |
|
|
15 | 15 | import datetime |
|
|
16 | 16 | import numpy |
|
|
17 | 17 | import timeit |
|
|
18 | 18 | from fractions import Fraction |
|
|
19 | 19 | |
|
|
20 | 20 | try: |
|
|
21 | 21 | from gevent import sleep |
|
|
22 | 22 | except: |
|
|
23 | 23 | from time import sleep |
|
|
24 | 24 | |
|
|
25 | 25 | from schainpy.model.data.jroheaderIO import RadarControllerHeader, SystemHeader |
|
|
26 | 26 | from schainpy.model.data.jrodata import Voltage |
|
|
27 | 27 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
|
28 | 28 | from time import time |
|
|
29 | 29 | |
|
|
30 | 30 | import cPickle |
|
|
31 | 31 | try: |
|
|
32 | 32 | import digital_rf |
|
|
33 | 33 | except: |
|
|
34 | 34 | print 'You should install "digital_rf" module if you want to read Digital RF data' |
|
|
35 | 35 | |
|
|
36 | 36 | |
|
|
37 | 37 | class DigitalRFReader(ProcessingUnit): |
|
|
38 | 38 | ''' |
|
|
39 | 39 | classdocs |
|
|
40 | 40 | ''' |
|
|
41 | 41 | |
|
|
42 | 42 | def __init__(self, **kwargs): |
|
|
43 | 43 | ''' |
|
|
44 | 44 | Constructor |
|
|
45 | 45 | ''' |
|
|
46 | 46 | |
|
|
47 | 47 | ProcessingUnit.__init__(self, **kwargs) |
|
|
48 | 48 | |
|
|
49 | 49 | self.dataOut = Voltage() |
|
|
50 | 50 | self.__printInfo = True |
|
|
51 | 51 | self.__flagDiscontinuousBlock = False |
|
|
52 | 52 | self.__bufferIndex = 9999999 |
|
|
53 | 53 | self.__ippKm = None |
|
|
54 | 54 | self.__codeType = 0 |
|
|
55 | 55 | self.__nCode = None |
|
|
56 | 56 | self.__nBaud = None |
|
|
57 | 57 | self.__code = None |
|
|
58 | 58 | self.dtype = None |
|
|
59 | 59 | self.oldAverage = None |
|
|
60 | 60 | |
|
|
61 | 61 | def close(self): |
|
|
62 | 62 | print 'Average of writing to digital rf format is ', self.oldAverage * 1000 |
|
|
63 | 63 | return |
|
|
64 | 64 | |
|
|
65 | 65 | def __getCurrentSecond(self): |
|
|
66 | 66 | |
|
|
67 | 67 | return self.__thisUnixSample / self.__sample_rate |
|
|
68 | 68 | |
|
|
69 | 69 | thisSecond = property(__getCurrentSecond, "I'm the 'thisSecond' property.") |
|
|
70 | 70 | |
|
|
71 | 71 | def __setFileHeader(self): |
|
|
72 | 72 | ''' |
|
|
73 | 73 | In this method will be initialized every parameter of dataOut object (header, no data) |
|
|
74 | 74 | ''' |
|
|
75 | 75 | ippSeconds = 1.0 * self.__nSamples / self.__sample_rate |
|
|
76 | 76 | |
|
|
77 | 77 | nProfiles = 1.0 / ippSeconds # Number of profiles in one second |
|
|
78 | 78 | |
|
|
79 | 79 | try: |
|
|
80 | 80 | self.dataOut.radarControllerHeaderObj = RadarControllerHeader( |
|
|
81 | 81 | self.__radarControllerHeader) |
|
|
82 | 82 | except: |
|
|
83 | 83 | self.dataOut.radarControllerHeaderObj = RadarControllerHeader( |
|
|
84 | 84 | txA=0, |
|
|
85 | 85 | txB=0, |
|
|
86 | 86 | nWindows=1, |
|
|
87 | 87 | nHeights=self.__nSamples, |
|
|
88 | 88 | firstHeight=self.__firstHeigth, |
|
|
89 | 89 | deltaHeight=self.__deltaHeigth, |
|
|
90 | 90 | codeType=self.__codeType, |
|
|
91 | 91 | nCode=self.__nCode, nBaud=self.__nBaud, |
|
|
92 | 92 | code=self.__code) |
|
|
93 | 93 | |
|
|
94 | 94 | try: |
|
|
95 | 95 | self.dataOut.systemHeaderObj = SystemHeader(self.__systemHeader) |
|
|
96 | 96 | except: |
|
|
97 | 97 | self.dataOut.systemHeaderObj = SystemHeader(nSamples=self.__nSamples, |
|
|
98 | 98 | nProfiles=nProfiles, |
|
|
99 | 99 | nChannels=len( |
|
|
100 | 100 | self.__channelList), |
|
|
101 | 101 | adcResolution=14) |
|
|
102 | 102 | self.dataOut.type = "Voltage" |
|
|
103 | 103 | |
|
|
104 | 104 | self.dataOut.data = None |
|
|
105 | 105 | |
|
|
106 | 106 | self.dataOut.dtype = self.dtype |
|
|
107 | 107 | |
|
|
108 | 108 | # self.dataOut.nChannels = 0 |
|
|
109 | 109 | |
|
|
110 | 110 | # self.dataOut.nHeights = 0 |
|
|
111 | 111 | |
|
|
112 | 112 | self.dataOut.nProfiles = int(nProfiles) |
|
|
113 | 113 | |
|
|
114 | 114 | self.dataOut.heightList = self.__firstHeigth + \ |
|
|
115 | 115 | numpy.arange(self.__nSamples, dtype=numpy.float) * \ |
|
|
116 | 116 | self.__deltaHeigth |
|
|
117 | 117 | |
|
|
118 | 118 | self.dataOut.channelList = range(self.__num_subchannels) |
|
|
119 | 119 | |
|
|
120 | 120 | self.dataOut.blocksize = self.dataOut.getNChannels() * self.dataOut.getNHeights() |
|
|
121 | 121 | |
|
|
122 | 122 | # self.dataOut.channelIndexList = None |
|
|
123 | 123 | |
|
|
124 | 124 | self.dataOut.flagNoData = True |
|
|
125 | 125 | |
|
|
126 | 126 | self.dataOut.flagDataAsBlock = False |
|
|
127 | 127 | # Set to TRUE if the data is discontinuous |
|
|
128 | 128 | self.dataOut.flagDiscontinuousBlock = False |
|
|
129 | 129 | |
|
|
130 | 130 | self.dataOut.utctime = None |
|
|
131 | 131 | |
|
|
132 | 132 | # timezone like jroheader, difference in minutes between UTC and localtime |
|
|
133 | 133 | self.dataOut.timeZone = self.__timezone / 60 |
|
|
134 | 134 | |
|
|
135 | 135 | self.dataOut.dstFlag = 0 |
|
|
136 | 136 | |
|
|
137 | 137 | self.dataOut.errorCount = 0 |
|
|
138 | 138 | |
|
|
139 | 139 | try: |
|
|
140 | 140 | self.dataOut.nCohInt = self.fixed_metadata_dict.get( |
|
|
141 | 141 | 'nCohInt', self.nCohInt) |
|
|
142 | 142 | |
|
|
143 | 143 | # asumo que la data esta decodificada |
|
|
144 | 144 | self.dataOut.flagDecodeData = self.fixed_metadata_dict.get( |
|
|
145 | 145 | 'flagDecodeData', self.flagDecodeData) |
|
|
146 | 146 | |
|
|
147 | 147 | # asumo que la data esta sin flip |
|
|
148 | 148 | self.dataOut.flagDeflipData = self.fixed_metadata_dict['flagDeflipData'] |
|
|
149 | 149 | |
|
|
150 | 150 | self.dataOut.flagShiftFFT = self.fixed_metadata_dict['flagShiftFFT'] |
|
|
151 | 151 | |
|
|
152 | 152 | self.dataOut.useLocalTime = self.fixed_metadata_dict['useLocalTime'] |
|
|
153 | 153 | except: |
|
|
154 | 154 | pass |
|
|
155 | 155 | |
|
|
156 | 156 | self.dataOut.ippSeconds = ippSeconds |
|
|
157 | 157 | |
|
|
158 | 158 | # Time interval between profiles |
|
|
159 | 159 | # self.dataOut.timeInterval = self.dataOut.ippSeconds * self.dataOut.nCohInt |
|
|
160 | 160 | |
|
|
161 | 161 | self.dataOut.frequency = self.__frequency |
|
|
162 | 162 | |
|
|
163 | 163 | self.dataOut.realtime = self.__online |
|
|
164 | 164 | |
|
|
165 | 165 | def findDatafiles(self, path, startDate=None, endDate=None): |
|
|
166 | 166 | |
|
|
167 | 167 | if not os.path.isdir(path): |
|
|
168 | 168 | return [] |
|
|
169 | 169 | |
|
|
170 | 170 | try: |
|
|
171 | 171 | digitalReadObj = digital_rf.DigitalRFReader( |
|
|
172 | 172 | path, load_all_metadata=True) |
|
|
173 | 173 | except: |
|
|
174 | 174 | digitalReadObj = digital_rf.DigitalRFReader(path) |
|
|
175 | 175 | |
|
|
176 | 176 | channelNameList = digitalReadObj.get_channels() |
|
|
177 | 177 | |
|
|
178 | 178 | if not channelNameList: |
|
|
179 | 179 | return [] |
|
|
180 | 180 | |
|
|
181 | 181 | metadata_dict = digitalReadObj.get_rf_file_metadata(channelNameList[0]) |
|
|
182 | 182 | |
|
|
183 | 183 | sample_rate = metadata_dict['sample_rate'][0] |
|
|
184 | 184 | |
|
|
185 | 185 | this_metadata_file = digitalReadObj.get_metadata(channelNameList[0]) |
|
|
186 | 186 | |
|
|
187 | 187 | try: |
|
|
188 | 188 | timezone = this_metadata_file['timezone'].value |
|
|
189 | 189 | except: |
|
|
190 | 190 | timezone = 0 |
|
|
191 | 191 | |
|
|
192 | 192 | startUTCSecond, endUTCSecond = digitalReadObj.get_bounds( |
|
|
193 | 193 | channelNameList[0]) / sample_rate - timezone |
|
|
194 | 194 | |
|
|
195 | 195 | startDatetime = datetime.datetime.utcfromtimestamp(startUTCSecond) |
|
|
196 | 196 | endDatatime = datetime.datetime.utcfromtimestamp(endUTCSecond) |
|
|
197 | 197 | |
|
|
198 | 198 | if not startDate: |
|
|
199 | 199 | startDate = startDatetime.date() |
|
|
200 | 200 | |
|
|
201 | 201 | if not endDate: |
|
|
202 | 202 | endDate = endDatatime.date() |
|
|
203 | 203 | |
|
|
204 | 204 | dateList = [] |
|
|
205 | 205 | |
|
|
206 | 206 | thisDatetime = startDatetime |
|
|
207 | 207 | |
|
|
208 | 208 | while(thisDatetime <= endDatatime): |
|
|
209 | 209 | |
|
|
210 | 210 | thisDate = thisDatetime.date() |
|
|
211 | 211 | |
|
|
212 | 212 | if thisDate < startDate: |
|
|
213 | 213 | continue |
|
|
214 | 214 | |
|
|
215 | 215 | if thisDate > endDate: |
|
|
216 | 216 | break |
|
|
217 | 217 | |
|
|
218 | 218 | dateList.append(thisDate) |
|
|
219 | 219 | thisDatetime += datetime.timedelta(1) |
|
|
220 | 220 | |
|
|
221 | 221 | return dateList |
|
|
222 | 222 | |
|
|
223 | 223 | def setup(self, path=None, |
|
|
224 | 224 | startDate=None, |
|
|
225 | 225 | endDate=None, |
|
|
226 | 226 | startTime=datetime.time(0, 0, 0), |
|
|
227 | 227 | endTime=datetime.time(23, 59, 59), |
|
|
228 | 228 | channelList=None, |
|
|
229 | 229 | nSamples=None, |
|
|
230 | 230 | online=False, |
|
|
231 | 231 | delay=60, |
|
|
232 | 232 | buffer_size=1024, |
|
|
233 | 233 | ippKm=None, |
|
|
234 | 234 | nCohInt=1, |
|
|
235 | 235 | nCode=1, |
|
|
236 | 236 | nBaud=1, |
|
|
237 | 237 | flagDecodeData=False, |
|
|
238 | 238 | code=numpy.ones((1, 1), dtype=numpy.int), |
|
|
239 | 239 | **kwargs): |
|
|
240 | 240 | ''' |
|
|
241 | 241 | In this method we should set all initial parameters. |
|
|
242 | 242 | |
|
|
243 | 243 | Inputs: |
|
|
244 | 244 | path |
|
|
245 | 245 | startDate |
|
|
246 | 246 | endDate |
|
|
247 | 247 | startTime |
|
|
248 | 248 | endTime |
|
|
249 | 249 | set |
|
|
250 | 250 | expLabel |
|
|
251 | 251 | ext |
|
|
252 | 252 | online |
|
|
253 | 253 | delay |
|
|
254 | 254 | ''' |
|
|
255 | 255 | self.nCohInt = nCohInt |
|
|
256 | 256 | self.flagDecodeData = flagDecodeData |
|
|
257 | 257 | self.i = 0 |
|
|
258 | 258 | if not os.path.isdir(path): |
|
|
259 | 259 | raise ValueError, "[Reading] Directory %s does not exist" % path |
|
|
260 | 260 | |
|
|
261 | 261 | try: |
|
|
262 | 262 | self.digitalReadObj = digital_rf.DigitalRFReader( |
|
|
263 | 263 | path, load_all_metadata=True) |
|
|
264 | 264 | except: |
|
|
265 | 265 | self.digitalReadObj = digital_rf.DigitalRFReader(path) |
|
|
266 | 266 | |
|
|
267 | 267 | channelNameList = self.digitalReadObj.get_channels() |
|
|
268 | 268 | |
|
|
269 | 269 | if not channelNameList: |
|
|
270 | 270 | raise ValueError, "[Reading] Directory %s does not have any files" % path |
|
|
271 | 271 | |
|
|
272 | 272 | if not channelList: |
|
|
273 | 273 | channelList = range(len(channelNameList)) |
|
|
274 | 274 | |
|
|
275 | 275 | ########## Reading metadata ###################### |
|
|
276 | 276 | |
|
|
277 | 277 | top_properties = self.digitalReadObj.get_properties( |
|
|
278 | 278 | channelNameList[channelList[0]]) |
|
|
279 | 279 | |
|
|
280 | 280 | self.__num_subchannels = top_properties['num_subchannels'] |
|
|
281 | 281 | self.__sample_rate = 1.0 * \ |
|
|
282 | 282 | top_properties['sample_rate_numerator'] / \ |
|
|
283 | 283 | top_properties['sample_rate_denominator'] |
|
|
284 | 284 | # self.__samples_per_file = top_properties['samples_per_file'][0] |
|
|
285 | 285 | self.__deltaHeigth = 1e6 * 0.15 / self.__sample_rate # why 0.15? |
|
|
286 | 286 | |
|
|
287 | 287 | this_metadata_file = self.digitalReadObj.get_digital_metadata( |
|
|
288 | 288 | channelNameList[channelList[0]]) |
|
|
289 | 289 | metadata_bounds = this_metadata_file.get_bounds() |
|
|
290 | 290 | self.fixed_metadata_dict = this_metadata_file.read( |
|
|
291 | 291 | metadata_bounds[0])[metadata_bounds[0]] # GET FIRST HEADER |
|
|
292 | 292 | |
|
|
293 | 293 | try: |
|
|
294 | 294 | self.__processingHeader = self.fixed_metadata_dict['processingHeader'] |
|
|
295 | 295 | self.__radarControllerHeader = self.fixed_metadata_dict['radarControllerHeader'] |
|
|
296 | 296 | self.__systemHeader = self.fixed_metadata_dict['systemHeader'] |
|
|
297 | 297 | self.dtype = cPickle.loads(self.fixed_metadata_dict['dtype']) |
|
|
298 | 298 | except: |
|
|
299 | 299 | pass |
|
|
300 | 300 | |
|
|
301 | 301 | self.__frequency = None |
|
|
302 | 302 | |
|
|
303 | 303 | self.__frequency = self.fixed_metadata_dict.get('frequency', 1) |
|
|
304 | 304 | |
|
|
305 | 305 | self.__timezone = self.fixed_metadata_dict.get('timezone', 300) |
|
|
306 | 306 | |
|
|
307 | 307 | try: |
|
|
308 | 308 | nSamples = self.fixed_metadata_dict['nSamples'] |
|
|
309 | 309 | except: |
|
|
310 | 310 | nSamples = None |
|
|
311 | 311 | |
|
|
312 | 312 | self.__firstHeigth = 0 |
|
|
313 | 313 | |
|
|
314 | 314 | try: |
|
|
315 | 315 | codeType = self.__radarControllerHeader['codeType'] |
|
|
316 | 316 | except: |
|
|
317 | 317 | codeType = 0 |
|
|
318 | 318 | |
|
|
319 | 319 | try: |
|
|
320 | 320 | if codeType: |
|
|
321 | 321 | nCode = self.__radarControllerHeader['nCode'] |
|
|
322 | 322 | nBaud = self.__radarControllerHeader['nBaud'] |
|
|
323 | 323 | code = self.__radarControllerHeader['code'] |
|
|
324 | 324 | except: |
|
|
325 | 325 | pass |
|
|
326 | 326 | |
|
|
327 | 327 | if not ippKm: |
|
|
328 | 328 | try: |
|
|
329 | 329 | # seconds to km |
|
|
330 | 330 | ippKm = self.__radarControllerHeader['ipp'] |
|
|
331 | 331 | except: |
|
|
332 | 332 | ippKm = None |
|
|
333 | 333 | #################################################### |
|
|
334 | 334 | self.__ippKm = ippKm |
|
|
335 | 335 | startUTCSecond = None |
|
|
336 | 336 | endUTCSecond = None |
|
|
337 | 337 | |
|
|
338 | 338 | if startDate: |
|
|
339 | 339 | startDatetime = datetime.datetime.combine(startDate, startTime) |
|
|
340 | 340 | startUTCSecond = ( |
|
|
341 | 341 | startDatetime - datetime.datetime(1970, 1, 1)).total_seconds() + self.__timezone |
|
|
342 | 342 | |
|
|
343 | 343 | if endDate: |
|
|
344 | 344 | endDatetime = datetime.datetime.combine(endDate, endTime) |
|
|
345 | 345 | endUTCSecond = (endDatetime - datetime.datetime(1970, |
|
|
346 | 346 | 1, 1)).total_seconds() + self.__timezone |
|
|
347 | 347 | |
|
|
348 | 348 | start_index, end_index = self.digitalReadObj.get_bounds( |
|
|
349 | 349 | channelNameList[channelList[0]]) |
|
|
350 | 350 | |
|
|
351 | 351 | if not startUTCSecond: |
|
|
352 | 352 | startUTCSecond = start_index / self.__sample_rate |
|
|
353 | 353 | |
|
|
354 | 354 | if start_index > startUTCSecond * self.__sample_rate: |
|
|
355 | 355 | startUTCSecond = start_index / self.__sample_rate |
|
|
356 | 356 | |
|
|
357 | 357 | if not endUTCSecond: |
|
|
358 | 358 | endUTCSecond = end_index / self.__sample_rate |
|
|
359 | 359 | |
|
|
360 | 360 | if end_index < endUTCSecond * self.__sample_rate: |
|
|
361 | 361 | endUTCSecond = end_index / self.__sample_rate |
|
|
362 | 362 | if not nSamples: |
|
|
363 | 363 | if not ippKm: |
|
|
364 | 364 | raise ValueError, "[Reading] nSamples or ippKm should be defined" |
|
|
365 | 365 | nSamples = int(ippKm / (1e6 * 0.15 / self.__sample_rate)) |
|
|
366 | 366 | channelBoundList = [] |
|
|
367 | 367 | channelNameListFiltered = [] |
|
|
368 | 368 | |
|
|
369 | 369 | for thisIndexChannel in channelList: |
|
|
370 | 370 | thisChannelName = channelNameList[thisIndexChannel] |
|
|
371 | 371 | start_index, end_index = self.digitalReadObj.get_bounds( |
|
|
372 | 372 | thisChannelName) |
|
|
373 | 373 | channelBoundList.append((start_index, end_index)) |
|
|
374 | 374 | channelNameListFiltered.append(thisChannelName) |
|
|
375 | 375 | |
|
|
376 | 376 | self.profileIndex = 0 |
|
|
377 | 377 | self.i = 0 |
|
|
378 | 378 | self.__delay = delay |
|
|
379 | 379 | |
|
|
380 | 380 | self.__codeType = codeType |
|
|
381 | 381 | self.__nCode = nCode |
|
|
382 | 382 | self.__nBaud = nBaud |
|
|
383 | 383 | self.__code = code |
|
|
384 | 384 | |
|
|
385 | 385 | self.__datapath = path |
|
|
386 | 386 | self.__online = online |
|
|
387 | 387 | self.__channelList = channelList |
|
|
388 | 388 | self.__channelNameList = channelNameListFiltered |
|
|
389 | 389 | self.__channelBoundList = channelBoundList |
|
|
390 | 390 | self.__nSamples = nSamples |
|
|
391 | 391 | self.__samples_to_read = long(nSamples) # FIJO: AHORA 40 |
|
|
392 | 392 | self.__nChannels = len(self.__channelList) |
|
|
393 | 393 | |
|
|
394 | 394 | self.__startUTCSecond = startUTCSecond |
|
|
395 | 395 | self.__endUTCSecond = endUTCSecond |
|
|
396 | 396 | |
|
|
397 | 397 | self.__timeInterval = 1.0 * self.__samples_to_read / \ |
|
|
398 | 398 | self.__sample_rate # Time interval |
|
|
399 | 399 | |
|
|
400 | 400 | if online: |
|
|
401 | 401 | # self.__thisUnixSample = int(endUTCSecond*self.__sample_rate - 4*self.__samples_to_read) |
|
|
402 | 402 | startUTCSecond = numpy.floor(endUTCSecond) |
|
|
403 | 403 | |
|
|
404 | 404 | # por que en el otro metodo lo primero q se hace es sumar samplestoread |
|
|
405 | 405 | self.__thisUnixSample = long( |
|
|
406 | 406 | startUTCSecond * self.__sample_rate) - self.__samples_to_read |
|
|
407 | 407 | |
|
|
408 | 408 | self.__data_buffer = numpy.zeros( |
|
|
409 | 409 | (self.__num_subchannels, self.__samples_to_read), dtype=numpy.complex) |
|
|
410 | 410 | |
|
|
411 | 411 | self.__setFileHeader() |
|
|
412 | 412 | self.isConfig = True |
|
|
413 | 413 | |
|
|
414 | 414 | print "[Reading] Digital RF Data was found from %s to %s " % ( |
|
|
415 | 415 | datetime.datetime.utcfromtimestamp( |
|
|
416 | 416 | self.__startUTCSecond - self.__timezone), |
|
|
417 | 417 | datetime.datetime.utcfromtimestamp( |
|
|
418 | 418 | self.__endUTCSecond - self.__timezone) |
|
|
419 | 419 | ) |
|
|
420 | 420 | |
|
|
421 | 421 | print "[Reading] Starting process from %s to %s" % (datetime.datetime.utcfromtimestamp(startUTCSecond - self.__timezone), |
|
|
422 | 422 | datetime.datetime.utcfromtimestamp( |
|
|
423 | 423 | endUTCSecond - self.__timezone) |
|
|
424 | 424 | ) |
|
|
425 | 425 | self.oldAverage = None |
|
|
426 | 426 | self.count = 0 |
|
|
427 | 427 | self.executionTime = 0 |
|
|
428 | 428 | |
|
|
429 | 429 | def __reload(self): |
|
|
430 | 430 | |
|
|
431 | 431 | # print "%s not in range [%s, %s]" %( |
|
|
432 | 432 | # datetime.datetime.utcfromtimestamp(self.thisSecond - self.__timezone), |
|
|
433 | 433 | # datetime.datetime.utcfromtimestamp(self.__startUTCSecond - self.__timezone), |
|
|
434 | 434 | # datetime.datetime.utcfromtimestamp(self.__endUTCSecond - self.__timezone) |
|
|
435 | 435 | # ) |
|
|
436 | 436 | print "[Reading] reloading metadata ..." |
|
|
437 | 437 | |
|
|
438 | 438 | try: |
|
|
439 | 439 | self.digitalReadObj.reload(complete_update=True) |
|
|
440 | 440 | except: |
|
|
441 | 441 | self.digitalReadObj.reload() |
|
|
442 | 442 | |
|
|
443 | 443 | start_index, end_index = self.digitalReadObj.get_bounds( |
|
|
444 | 444 | self.__channelNameList[self.__channelList[0]]) |
|
|
445 | 445 | |
|
|
446 | 446 | if start_index > self.__startUTCSecond * self.__sample_rate: |
|
|
447 | 447 | self.__startUTCSecond = 1.0 * start_index / self.__sample_rate |
|
|
448 | 448 | |
|
|
449 | 449 | if end_index > self.__endUTCSecond * self.__sample_rate: |
|
|
450 | 450 | self.__endUTCSecond = 1.0 * end_index / self.__sample_rate |
|
|
451 | 451 | |
|
|
452 | 452 | print "[Reading] New timerange found [%s, %s] " % ( |
|
|
453 | 453 | datetime.datetime.utcfromtimestamp( |
|
|
454 | 454 | self.__startUTCSecond - self.__timezone), |
|
|
455 | 455 | datetime.datetime.utcfromtimestamp( |
|
|
456 | 456 | self.__endUTCSecond - self.__timezone) |
|
|
457 | 457 | ) |
|
|
458 | 458 | |
|
|
459 | 459 | return True |
|
|
460 | 460 | |
|
|
461 | 461 | return False |
|
|
462 | 462 | |
|
|
463 | 463 | def timeit(self, toExecute): |
|
|
464 | 464 | t0 = time() |
|
|
465 | 465 | toExecute() |
|
|
466 | 466 | self.executionTime = time() - t0 |
|
|
467 | 467 | if self.oldAverage is None: |
|
|
468 | 468 | self.oldAverage = self.executionTime |
|
|
469 | 469 | self.oldAverage = (self.executionTime + self.count * |
|
|
470 | 470 | self.oldAverage) / (self.count + 1.0) |
|
|
471 | 471 | self.count = self.count + 1.0 |
|
|
472 | 472 | return |
|
|
473 | 473 | |
|
|
474 | 474 | def __readNextBlock(self, seconds=30, volt_scale=1): |
|
|
475 | 475 | ''' |
|
|
476 | 476 | ''' |
|
|
477 | 477 | |
|
|
478 | 478 | # Set the next data |
|
|
479 | 479 | self.__flagDiscontinuousBlock = False |
|
|
480 | 480 | self.__thisUnixSample += self.__samples_to_read |
|
|
481 | 481 | |
|
|
482 | 482 | if self.__thisUnixSample + 2 * self.__samples_to_read > self.__endUTCSecond * self.__sample_rate: |
|
|
483 | 483 | print "[Reading] There are no more data into selected time-range" |
|
|
484 | 484 | if self.__online: |
|
|
485 | 485 | self.__reload() |
|
|
486 | 486 | else: |
|
|
487 | 487 | return False |
|
|
488 | 488 | |
|
|
489 | 489 | if self.__thisUnixSample + 2 * self.__samples_to_read > self.__endUTCSecond * self.__sample_rate: |
|
|
490 | 490 | return False |
|
|
491 | 491 | self.__thisUnixSample -= self.__samples_to_read |
|
|
492 | 492 | |
|
|
493 | 493 | indexChannel = 0 |
|
|
494 | 494 | |
|
|
495 | 495 | dataOk = False |
|
|
496 | 496 | for thisChannelName in self.__channelNameList: # TODO VARIOS CHANNELS? |
|
|
497 | 497 | for indexSubchannel in range(self.__num_subchannels): |
|
|
498 | 498 | try: |
|
|
499 | 499 | t0 = time() |
|
|
500 | 500 | result = self.digitalReadObj.read_vector_c81d(self.__thisUnixSample, |
|
|
501 | 501 | self.__samples_to_read, |
|
|
502 | 502 | thisChannelName, sub_channel=indexSubchannel) |
|
|
503 | 503 | self.executionTime = time() - t0 |
|
|
504 | 504 | if self.oldAverage is None: |
|
|
505 | 505 | self.oldAverage = self.executionTime |
|
|
506 | 506 | self.oldAverage = ( |
|
|
507 | 507 | self.executionTime + self.count * self.oldAverage) / (self.count + 1.0) |
|
|
508 | 508 | self.count = self.count + 1.0 |
|
|
509 | 509 | |
|
|
510 | 510 | except IOError, e: |
|
|
511 | 511 | # read next profile |
|
|
512 | 512 | self.__flagDiscontinuousBlock = True |
|
|
513 | 513 | print "[Reading] %s" % datetime.datetime.utcfromtimestamp(self.thisSecond - self.__timezone), e |
|
|
514 | 514 | break |
|
|
515 | 515 | |
|
|
516 | 516 | if result.shape[0] != self.__samples_to_read: |
|
|
517 | 517 | self.__flagDiscontinuousBlock = True |
|
|
518 | 518 | print "[Reading] %s: Too few samples were found, just %d/%d samples" % (datetime.datetime.utcfromtimestamp(self.thisSecond - self.__timezone), |
|
|
519 | 519 | result.shape[0], |
|
|
520 | 520 | self.__samples_to_read) |
|
|
521 | 521 | break |
|
|
522 | 522 | |
|
|
523 | 523 | self.__data_buffer[indexSubchannel, :] = result * volt_scale |
|
|
524 | 524 | |
|
|
525 | 525 | indexChannel += 1 |
|
|
526 | 526 | |
|
|
527 | 527 | dataOk = True |
|
|
528 | 528 | |
|
|
529 | 529 | self.__utctime = self.__thisUnixSample / self.__sample_rate |
|
|
530 | 530 | |
|
|
531 | 531 | if not dataOk: |
|
|
532 | 532 | return False |
|
|
533 | 533 | |
|
|
534 | 534 | print "[Reading] %s: %d samples <> %f sec" % (datetime.datetime.utcfromtimestamp(self.thisSecond - self.__timezone), |
|
|
535 | 535 | self.__samples_to_read, |
|
|
536 | 536 | self.__timeInterval) |
|
|
537 | 537 | |
|
|
538 | 538 | self.__bufferIndex = 0 |
|
|
539 | 539 | |
|
|
540 | 540 | return True |
|
|
541 | 541 | |
|
|
542 | 542 | def __isBufferEmpty(self): |
|
|
543 | 543 | return self.__bufferIndex > self.__samples_to_read - self.__nSamples # 40960 - 40 |
|
|
544 | 544 | |
|
|
545 | 545 | def getData(self, seconds=30, nTries=5): |
|
|
546 | 546 | ''' |
|
|
547 | 547 | This method gets the data from files and put the data into the dataOut object |
|
|
548 | 548 | |
|
|
549 | 549 | In addition, increase el the buffer counter in one. |
|
|
550 | 550 | |
|
|
551 | 551 | Return: |
|
|
552 | 552 | data : retorna un perfil de voltages (alturas * canales) copiados desde el |
|
|
553 | 553 | buffer. Si no hay mas archivos a leer retorna None. |
|
|
554 | 554 | |
|
|
555 | 555 | Affected: |
|
|
556 | 556 | self.dataOut |
|
|
557 | 557 | self.profileIndex |
|
|
558 | 558 | self.flagDiscontinuousBlock |
|
|
559 | 559 | self.flagIsNewBlock |
|
|
560 | 560 | ''' |
|
|
561 | 561 | |
|
|
562 | 562 | err_counter = 0 |
|
|
563 | 563 | self.dataOut.flagNoData = True |
|
|
564 | 564 | |
|
|
565 | 565 | if self.__isBufferEmpty(): |
|
|
566 | 566 | self.__flagDiscontinuousBlock = False |
|
|
567 | 567 | |
|
|
568 | 568 | while True: |
|
|
569 | 569 | if self.__readNextBlock(): |
|
|
570 | 570 | break |
|
|
571 | 571 | if self.__thisUnixSample > self.__endUTCSecond * self.__sample_rate: |
|
|
572 | 572 | return False |
|
|
573 | 573 | |
|
|
574 | 574 | if self.__flagDiscontinuousBlock: |
|
|
575 | 575 | print '[Reading] discontinuous block found ... continue with the next block' |
|
|
576 | 576 | continue |
|
|
577 | 577 | |
|
|
578 | 578 | if not self.__online: |
|
|
579 | 579 | return False |
|
|
580 | 580 | |
|
|
581 | 581 | err_counter += 1 |
|
|
582 | 582 | if err_counter > nTries: |
|
|
583 | 583 | return False |
|
|
584 | 584 | |
|
|
585 | 585 | print '[Reading] waiting %d seconds to read a new block' % seconds |
|
|
586 | 586 | sleep(seconds) |
|
|
587 | 587 | |
|
|
588 | 588 | self.dataOut.data = self.__data_buffer[:, |
|
|
589 | 589 | self.__bufferIndex:self.__bufferIndex + self.__nSamples] |
|
|
590 | 590 | self.dataOut.utctime = ( |
|
|
591 | 591 | self.__thisUnixSample + self.__bufferIndex) / self.__sample_rate |
|
|
592 | 592 | self.dataOut.flagNoData = False |
|
|
593 | 593 | self.dataOut.flagDiscontinuousBlock = self.__flagDiscontinuousBlock |
|
|
594 | 594 | self.dataOut.profileIndex = self.profileIndex |
|
|
595 | 595 | |
|
|
596 | 596 | self.__bufferIndex += self.__nSamples |
|
|
597 | 597 | self.profileIndex += 1 |
|
|
598 | 598 | |
|
|
599 | 599 | if self.profileIndex == self.dataOut.nProfiles: |
|
|
600 | 600 | self.profileIndex = 0 |
|
|
601 | 601 | |
|
|
602 | 602 | return True |
|
|
603 | 603 | |
|
|
604 | 604 | def printInfo(self): |
|
|
605 | 605 | ''' |
|
|
606 | 606 | ''' |
|
|
607 | 607 | if self.__printInfo == False: |
|
|
608 | 608 | return |
|
|
609 | 609 | |
|
|
610 | 610 | # self.systemHeaderObj.printInfo() |
|
|
611 | 611 | # self.radarControllerHeaderObj.printInfo() |
|
|
612 | 612 | |
|
|
613 | 613 | self.__printInfo = False |
|
|
614 | 614 | |
|
|
615 | 615 | def printNumberOfBlock(self): |
|
|
616 | 616 | ''' |
|
|
617 | 617 | ''' |
|
|
618 | 618 | return |
|
|
619 | 619 | # print self.profileIndex |
|
|
620 | 620 | |
|
|
621 | 621 | def run(self, **kwargs): |
|
|
622 | 622 | ''' |
|
|
623 | 623 | This method will be called many times so here you should put all your code |
|
|
624 | 624 | ''' |
|
|
625 | 625 | |
|
|
626 | 626 | if not self.isConfig: |
|
|
627 | 627 | self.setup(**kwargs) |
|
|
628 | 628 | #self.i = self.i+1 |
|
|
629 | 629 | self.getData(seconds=self.__delay) |
|
|
630 | 630 | |
|
|
631 | 631 | return |
|
|
632 | 632 | |
|
|
633 | 633 | |
|
|
634 | 634 | class DigitalRFWriter(Operation): |
|
|
635 | 635 | ''' |
|
|
636 | 636 | classdocs |
|
|
637 | 637 | ''' |
|
|
638 | 638 | |
|
|
639 | 639 | def __init__(self, **kwargs): |
|
|
640 | 640 | ''' |
|
|
641 | 641 | Constructor |
|
|
642 | 642 | ''' |
|
|
643 | 643 | Operation.__init__(self, **kwargs) |
|
|
644 | 644 | self.metadata_dict = {} |
|
|
645 | 645 | self.dataOut = None |
|
|
646 | 646 | self.dtype = None |
|
|
647 | 647 | self.oldAverage = 0 |
|
|
648 | 648 | |
|
|
649 | 649 | def setHeader(self): |
|
|
650 | 650 | |
|
|
651 | 651 | self.metadata_dict['frequency'] = self.dataOut.frequency |
|
|
652 | 652 | self.metadata_dict['timezone'] = self.dataOut.timeZone |
|
|
653 | 653 | self.metadata_dict['dtype'] = cPickle.dumps(self.dataOut.dtype) |
|
|
654 | 654 | self.metadata_dict['nProfiles'] = self.dataOut.nProfiles |
|
|
655 | 655 | self.metadata_dict['heightList'] = self.dataOut.heightList |
|
|
656 | 656 | self.metadata_dict['channelList'] = self.dataOut.channelList |
|
|
657 | 657 | self.metadata_dict['flagDecodeData'] = self.dataOut.flagDecodeData |
|
|
658 | 658 | self.metadata_dict['flagDeflipData'] = self.dataOut.flagDeflipData |
|
|
659 | 659 | self.metadata_dict['flagShiftFFT'] = self.dataOut.flagShiftFFT |
|
|
660 | self.metadata_dict['flagDataAsBlock'] = self.dataOut.flagDataAsBlock | |
|
|
661 | 660 | self.metadata_dict['useLocalTime'] = self.dataOut.useLocalTime |
|
|
662 | 661 | self.metadata_dict['nCohInt'] = self.dataOut.nCohInt |
|
|
663 | ||
|
|
664 | return | |
|
|
662 | self.metadata_dict['type'] = self.dataOut.type | |
|
|
663 | self.metadata_dict['flagDataAsBlock'] = getattr( | |
|
|
664 | self.dataOut, 'flagDataAsBlock', None) # chequear | |
|
|
665 | 665 | |
|
|
666 | 666 | def setup(self, dataOut, path, frequency, fileCadence, dirCadence, metadataCadence, set=0, metadataFile='metadata', ext='.h5'): |
|
|
667 | 667 | ''' |
|
|
668 | 668 | In this method we should set all initial parameters. |
|
|
669 | 669 | Input: |
|
|
670 | 670 | dataOut: Input data will also be outputa data |
|
|
671 | 671 | ''' |
|
|
672 | 672 | self.setHeader() |
|
|
673 | 673 | self.__ippSeconds = dataOut.ippSeconds |
|
|
674 | 674 | self.__deltaH = dataOut.getDeltaH() |
|
|
675 | 675 | self.__sample_rate = 1e6 * 0.15 / self.__deltaH |
|
|
676 | 676 | self.__dtype = dataOut.dtype |
|
|
677 | 677 | if len(dataOut.dtype) == 2: |
|
|
678 | 678 | self.__dtype = dataOut.dtype[0] |
|
|
679 | 679 | self.__nSamples = dataOut.systemHeaderObj.nSamples |
|
|
680 | 680 | self.__nProfiles = dataOut.nProfiles |
|
|
681 | self.__blocks_per_file = dataOut.processingHeaderObj.dataBlocksPerFile | |
|
|
682 | 681 | |
|
|
683 | self.arr_data = arr_data = numpy.ones((self.__nSamples, len( | |
|
|
684 | self.dataOut.channelList)), dtype=[('r', self.__dtype), ('i', self.__dtype)]) | |
|
|
682 | if self.dataOut.type != 'Voltage': | |
|
|
683 | raise 'Digital RF cannot be used with this data type' | |
|
|
684 | self.arr_data = numpy.ones((1, dataOut.nFFTPoints * len( | |
|
|
685 | self.dataOut.channelList)), dtype=[('r', self.__dtype), ('i', self.__dtype)]) | |
|
|
686 | else: | |
|
|
687 | self.arr_data = numpy.ones((self.__nSamples, len( | |
|
|
688 | self.dataOut.channelList)), dtype=[('r', self.__dtype), ('i', self.__dtype)]) | |
|
|
685 | 689 | |
|
|
686 | 690 | file_cadence_millisecs = 1000 |
|
|
687 | 691 | |
|
|
688 | 692 | sample_rate_fraction = Fraction(self.__sample_rate).limit_denominator() |
|
|
689 | 693 | sample_rate_numerator = long(sample_rate_fraction.numerator) |
|
|
690 | 694 | sample_rate_denominator = long(sample_rate_fraction.denominator) |
|
|
691 | 695 | start_global_index = dataOut.utctime * self.__sample_rate |
|
|
692 | 696 | |
|
|
693 | 697 | uuid = 'prueba' |
|
|
694 | 698 | compression_level = 0 |
|
|
695 | 699 | checksum = False |
|
|
696 | 700 | is_complex = True |
|
|
697 | 701 | num_subchannels = len(dataOut.channelList) |
|
|
698 | 702 | is_continuous = True |
|
|
699 | 703 | marching_periods = False |
|
|
700 | 704 | |
|
|
701 | 705 | self.digitalWriteObj = digital_rf.DigitalRFWriter(path, self.__dtype, dirCadence, |
|
|
702 | 706 | fileCadence, start_global_index, |
|
|
703 | 707 | sample_rate_numerator, sample_rate_denominator, uuid, compression_level, checksum, |
|
|
704 | 708 | is_complex, num_subchannels, is_continuous, marching_periods) |
|
|
705 | ||
|
|
706 | 709 | metadata_dir = os.path.join(path, 'metadata') |
|
|
707 | 710 | os.system('mkdir %s' % (metadata_dir)) |
|
|
708 | ||
|
|
709 | 711 | self.digitalMetadataWriteObj = digital_rf.DigitalMetadataWriter(metadata_dir, dirCadence, 1, # 236, file_cadence_millisecs / 1000 |
|
|
710 | 712 | sample_rate_numerator, sample_rate_denominator, |
|
|
711 | 713 | metadataFile) |
|
|
712 | ||
|
|
713 | 714 | self.isConfig = True |
|
|
714 | 715 | self.currentSample = 0 |
|
|
715 | 716 | self.oldAverage = 0 |
|
|
716 | 717 | self.count = 0 |
|
|
717 | 718 | return |
|
|
718 | 719 | |
|
|
719 | 720 | def writeMetadata(self): |
|
|
720 | print '[Writing] - Writing metadata' | |
|
|
721 | 721 | start_idx = self.__sample_rate * self.dataOut.utctime |
|
|
722 | 722 | |
|
|
723 | 723 | self.metadata_dict['processingHeader'] = self.dataOut.processingHeaderObj.getAsDict( |
|
|
724 | 724 | ) |
|
|
725 | 725 | self.metadata_dict['radarControllerHeader'] = self.dataOut.radarControllerHeaderObj.getAsDict( |
|
|
726 | 726 | ) |
|
|
727 | 727 | self.metadata_dict['systemHeader'] = self.dataOut.systemHeaderObj.getAsDict( |
|
|
728 | 728 | ) |
|
|
729 | 729 | self.digitalMetadataWriteObj.write(start_idx, self.metadata_dict) |
|
|
730 | 730 | return |
|
|
731 | 731 | |
|
|
732 | 732 | def timeit(self, toExecute): |
|
|
733 | 733 | t0 = time() |
|
|
734 | 734 | toExecute() |
|
|
735 | 735 | self.executionTime = time() - t0 |
|
|
736 | 736 | if self.oldAverage is None: |
|
|
737 | 737 | self.oldAverage = self.executionTime |
|
|
738 | 738 | self.oldAverage = (self.executionTime + self.count * |
|
|
739 | 739 | self.oldAverage) / (self.count + 1.0) |
|
|
740 | 740 | self.count = self.count + 1.0 |
|
|
741 | 741 | return |
|
|
742 | 742 | |
|
|
743 | 743 | def writeData(self): |
|
|
744 | for i in range(self.dataOut.systemHeaderObj.nSamples): | |
|
|
744 | if self.dataOut.type != 'Voltage': | |
|
|
745 | raise 'Digital RF cannot be used with this data type' | |
|
|
745 | 746 | for channel in self.dataOut.channelList: |
|
|
746 | self.arr_data[i][channel]['r'] = self.dataOut.data[channel][i].real | |
|
|
747 |
self.arr_data[ |
|
|
|
747 | for i in range(self.dataOut.nFFTPoints): | |
|
|
748 | self.arr_data[1][channel * self.dataOut.nFFTPoints + | |
|
|
749 | i]['r'] = self.dataOut.data[channel][i].real | |
|
|
750 | self.arr_data[1][channel * self.dataOut.nFFTPoints + | |
|
|
751 | i]['i'] = self.dataOut.data[channel][i].imag | |
|
|
752 | else: | |
|
|
753 | for i in range(self.dataOut.systemHeaderObj.nSamples): | |
|
|
754 | for channel in self.dataOut.channelList: | |
|
|
755 | self.arr_data[i][channel]['r'] = self.dataOut.data[channel][i].real | |
|
|
756 | self.arr_data[i][channel]['i'] = self.dataOut.data[channel][i].imag | |
|
|
748 | 757 | |
|
|
749 | 758 | def f(): return self.digitalWriteObj.rf_write(self.arr_data) |
|
|
750 | 759 | self.timeit(f) |
|
|
751 | 760 | |
|
|
752 | 761 | return |
|
|
753 | 762 | |
|
|
754 | 763 | def run(self, dataOut, frequency=49.92e6, path=None, fileCadence=1000, dirCadence=36000, metadataCadence=1, **kwargs): |
|
|
755 | 764 | ''' |
|
|
756 | 765 | This method will be called many times so here you should put all your code |
|
|
757 | 766 | Inputs: |
|
|
758 | 767 | dataOut: object with the data |
|
|
759 | 768 | ''' |
|
|
760 | 769 | # print dataOut.__dict__ |
|
|
761 | 770 | self.dataOut = dataOut |
|
|
762 | 771 | if not self.isConfig: |
|
|
763 | 772 | self.setup(dataOut, path, frequency, fileCadence, |
|
|
764 | 773 | dirCadence, metadataCadence, **kwargs) |
|
|
765 | 774 | self.writeMetadata() |
|
|
766 | 775 | |
|
|
767 | 776 | self.writeData() |
|
|
768 | 777 | |
|
|
769 | 778 | ## self.currentSample += 1 |
|
|
770 | 779 | # if self.dataOut.flagDataAsBlock or self.currentSample == 1: |
|
|
771 | 780 | # self.writeMetadata() |
|
|
772 | 781 | ## if self.currentSample == self.__nProfiles: self.currentSample = 0 |
|
|
773 | 782 | |
|
|
774 | 783 | def close(self): |
|
|
775 | 784 | print '[Writing] - Closing files ' |
|
|
776 | 785 | print 'Average of writing to digital rf format is ', self.oldAverage * 1000 |
|
|
777 | 786 | try: |
|
|
778 | 787 | self.digitalWriteObj.close() |
|
|
779 | 788 | except: |
|
|
780 | 789 | pass |
|
|
781 | 790 | |
|
|
782 | 791 | |
|
|
783 | 792 | # raise |
|
|
784 | 793 | if __name__ == '__main__': |
|
|
785 | 794 | |
|
|
786 | 795 | readObj = DigitalRFReader() |
|
|
787 | 796 | |
|
|
788 | 797 | while True: |
|
|
789 | 798 | readObj.run(path='/home/jchavez/jicamarca/mocked_data/') |
|
|
790 | 799 | # readObj.printInfo() |
|
|
791 | 800 | # readObj.printNumberOfBlock() |
| @@ -1,901 +1,943 | |||
|
|
1 | 1 | import itertools |
|
|
2 | 2 | |
|
|
3 | 3 | import numpy |
|
|
4 | 4 | |
|
|
5 | 5 | from jroproc_base import ProcessingUnit, Operation |
|
|
6 | 6 | from schainpy.model.data.jrodata import Spectra |
|
|
7 | 7 | from schainpy.model.data.jrodata import hildebrand_sekhon |
|
|
8 | 8 | |
|
|
9 | ||
|
|
9 | 10 | class SpectraProc(ProcessingUnit): |
|
|
10 | 11 | |
|
|
11 | 12 | def __init__(self, **kwargs): |
|
|
12 | 13 | |
|
|
13 | 14 | ProcessingUnit.__init__(self, **kwargs) |
|
|
14 | 15 | |
|
|
15 | 16 | self.buffer = None |
|
|
16 | 17 | self.firstdatatime = None |
|
|
17 | 18 | self.profIndex = 0 |
|
|
18 | 19 | self.dataOut = Spectra() |
|
|
19 | 20 | self.id_min = None |
|
|
20 | 21 | self.id_max = None |
|
|
21 | 22 | |
|
|
22 | 23 | def __updateSpecFromVoltage(self): |
|
|
23 | 24 | |
|
|
24 | 25 | self.dataOut.timeZone = self.dataIn.timeZone |
|
|
25 | 26 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
|
26 | 27 | self.dataOut.errorCount = self.dataIn.errorCount |
|
|
27 | 28 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
|
28 | ||
|
|
29 | try: | |
|
|
30 | self.dataOut.processingHeaderObj = self.dataIn.processingHeaderObj.copy() | |
|
|
31 | except: | |
|
|
32 | pass | |
|
|
29 | 33 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() |
|
|
30 | 34 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() |
|
|
31 | 35 | self.dataOut.channelList = self.dataIn.channelList |
|
|
32 | 36 | self.dataOut.heightList = self.dataIn.heightList |
|
|
33 | self.dataOut.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
|
|
37 | self.dataOut.dtype = numpy.dtype([('real', '<f4'), ('imag', '<f4')]) | |
|
|
34 | 38 | |
|
|
35 | 39 | self.dataOut.nBaud = self.dataIn.nBaud |
|
|
36 | 40 | self.dataOut.nCode = self.dataIn.nCode |
|
|
37 | 41 | self.dataOut.code = self.dataIn.code |
|
|
38 | 42 | self.dataOut.nProfiles = self.dataOut.nFFTPoints |
|
|
39 | 43 | |
|
|
40 | 44 | self.dataOut.flagDiscontinuousBlock = self.dataIn.flagDiscontinuousBlock |
|
|
41 | 45 | self.dataOut.utctime = self.firstdatatime |
|
|
42 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada | |
|
|
43 |
self.dataOut.flagDe |
|
|
|
46 | # asumo q la data esta decodificada | |
|
|
47 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData | |
|
|
48 | # asumo q la data esta sin flip | |
|
|
49 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData | |
|
|
44 | 50 | self.dataOut.flagShiftFFT = False |
|
|
45 | 51 | |
|
|
46 | 52 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
|
47 | 53 | self.dataOut.nIncohInt = 1 |
|
|
48 | 54 | |
|
|
49 | 55 | self.dataOut.windowOfFilter = self.dataIn.windowOfFilter |
|
|
50 | 56 | |
|
|
51 | 57 | self.dataOut.frequency = self.dataIn.frequency |
|
|
52 | 58 | self.dataOut.realtime = self.dataIn.realtime |
|
|
53 | 59 | |
|
|
54 | 60 | self.dataOut.azimuth = self.dataIn.azimuth |
|
|
55 | 61 | self.dataOut.zenith = self.dataIn.zenith |
|
|
56 | 62 | |
|
|
57 | 63 | self.dataOut.beam.codeList = self.dataIn.beam.codeList |
|
|
58 | 64 | self.dataOut.beam.azimuthList = self.dataIn.beam.azimuthList |
|
|
59 | 65 | self.dataOut.beam.zenithList = self.dataIn.beam.zenithList |
|
|
60 | 66 | |
|
|
61 | 67 | def __getFft(self): |
|
|
62 | 68 | """ |
|
|
63 | 69 | Convierte valores de Voltaje a Spectra |
|
|
64 | 70 | |
|
|
65 | 71 | Affected: |
|
|
66 | 72 | self.dataOut.data_spc |
|
|
67 | 73 | self.dataOut.data_cspc |
|
|
68 | 74 | self.dataOut.data_dc |
|
|
69 | 75 | self.dataOut.heightList |
|
|
70 | 76 | self.profIndex |
|
|
71 | 77 | self.buffer |
|
|
72 | 78 | self.dataOut.flagNoData |
|
|
73 | 79 | """ |
|
|
74 | fft_volt = numpy.fft.fft(self.buffer,n=self.dataOut.nFFTPoints,axis=1) | |
|
|
80 | fft_volt = numpy.fft.fft( | |
|
|
81 | self.buffer, n=self.dataOut.nFFTPoints, axis=1) | |
|
|
75 | 82 | fft_volt = fft_volt.astype(numpy.dtype('complex')) |
|
|
76 | dc = fft_volt[:,0,:] | |
|
|
83 | dc = fft_volt[:, 0, :] | |
|
|
77 | 84 | |
|
|
78 | #calculo de self-spectra | |
|
|
79 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) | |
|
|
85 | # calculo de self-spectra | |
|
|
86 | fft_volt = numpy.fft.fftshift(fft_volt, axes=(1,)) | |
|
|
80 | 87 | spc = fft_volt * numpy.conjugate(fft_volt) |
|
|
81 | 88 | spc = spc.real |
|
|
82 | 89 | |
|
|
83 | 90 | blocksize = 0 |
|
|
84 | 91 | blocksize += dc.size |
|
|
85 | 92 | blocksize += spc.size |
|
|
86 | 93 | |
|
|
87 | 94 | cspc = None |
|
|
88 | 95 | pairIndex = 0 |
|
|
89 | 96 | if self.dataOut.pairsList != None: |
|
|
90 | #calculo de cross-spectra | |
|
|
91 | cspc = numpy.zeros((self.dataOut.nPairs, self.dataOut.nFFTPoints, self.dataOut.nHeights), dtype='complex') | |
|
|
97 | # calculo de cross-spectra | |
|
|
98 | cspc = numpy.zeros( | |
|
|
99 | (self.dataOut.nPairs, self.dataOut.nFFTPoints, self.dataOut.nHeights), dtype='complex') | |
|
|
92 | 100 | for pair in self.dataOut.pairsList: |
|
|
93 | 101 | if pair[0] not in self.dataOut.channelList: |
|
|
94 |
raise ValueError, "Error getting CrossSpectra: pair 0 of %s is not in channelList = %s" %( |
|
|
|
102 | raise ValueError, "Error getting CrossSpectra: pair 0 of %s is not in channelList = %s" % ( | |
|
|
103 | str(pair), str(self.dataOut.channelList)) | |
|
|
95 | 104 | if pair[1] not in self.dataOut.channelList: |
|
|
96 |
raise ValueError, "Error getting CrossSpectra: pair 1 of %s is not in channelList = %s" %( |
|
|
|
105 | raise ValueError, "Error getting CrossSpectra: pair 1 of %s is not in channelList = %s" % ( | |
|
|
106 | str(pair), str(self.dataOut.channelList)) | |
|
|
97 | 107 | |
|
|
98 |
cspc[pairIndex,:,:] = fft_volt[pair[0],:,:] * |
|
|
|
108 | cspc[pairIndex, :, :] = fft_volt[pair[0], :, :] * \ | |
|
|
109 | numpy.conjugate(fft_volt[pair[1], :, :]) | |
|
|
99 | 110 | pairIndex += 1 |
|
|
100 | 111 | blocksize += cspc.size |
|
|
101 | 112 | |
|
|
102 | 113 | self.dataOut.data_spc = spc |
|
|
103 | 114 | self.dataOut.data_cspc = cspc |
|
|
104 | 115 | self.dataOut.data_dc = dc |
|
|
105 | 116 | self.dataOut.blockSize = blocksize |
|
|
106 | 117 | self.dataOut.flagShiftFFT = True |
|
|
107 | 118 | |
|
|
108 | 119 | def run(self, nProfiles=None, nFFTPoints=None, pairsList=[], ippFactor=None): |
|
|
109 | 120 | |
|
|
110 | 121 | self.dataOut.flagNoData = True |
|
|
111 | 122 | |
|
|
112 | 123 | if self.dataIn.type == "Spectra": |
|
|
113 | 124 | self.dataOut.copy(self.dataIn) |
|
|
114 | 125 | if not pairsList: |
|
|
115 |
pairsList = itertools.combinations(self.dataOut.channelList, 2) |
|
|
|
126 | pairsList = itertools.combinations(self.dataOut.channelList, 2) | |
|
|
116 | 127 | if self.dataOut.data_cspc is not None: |
|
|
117 | 128 | self.__selectPairs(pairsList) |
|
|
118 | 129 | return True |
|
|
119 | 130 | |
|
|
120 | 131 | if self.dataIn.type == "Voltage": |
|
|
121 | 132 | |
|
|
122 | 133 | if nFFTPoints == None: |
|
|
123 | 134 | raise ValueError, "This SpectraProc.run() need nFFTPoints input variable" |
|
|
124 | 135 | |
|
|
125 | 136 | if nProfiles == None: |
|
|
126 | 137 | nProfiles = nFFTPoints |
|
|
127 | 138 | |
|
|
128 | 139 | if ippFactor == None: |
|
|
129 | 140 | ippFactor = 1 |
|
|
130 | 141 | |
|
|
131 | 142 | self.dataOut.ippFactor = ippFactor |
|
|
132 | 143 | |
|
|
133 | 144 | self.dataOut.nFFTPoints = nFFTPoints |
|
|
134 | 145 | self.dataOut.pairsList = pairsList |
|
|
135 | 146 | |
|
|
136 | 147 | if self.buffer is None: |
|
|
137 |
self.buffer = numpy.zeros( |
|
|
|
138 |
|
|
|
|
139 |
|
|
|
|
148 | self.buffer = numpy.zeros((self.dataIn.nChannels, | |
|
|
149 | nProfiles, | |
|
|
150 | self.dataIn.nHeights), | |
|
|
140 | 151 | dtype='complex') |
|
|
141 | 152 | |
|
|
142 | 153 | if self.dataIn.flagDataAsBlock: |
|
|
143 | #data dimension: [nChannels, nProfiles, nSamples] | |
|
|
154 | # data dimension: [nChannels, nProfiles, nSamples] | |
|
|
144 | 155 | nVoltProfiles = self.dataIn.data.shape[1] |
|
|
145 | 156 | # nVoltProfiles = self.dataIn.nProfiles |
|
|
146 | 157 | |
|
|
147 | 158 | if nVoltProfiles == nProfiles: |
|
|
148 | 159 | self.buffer = self.dataIn.data.copy() |
|
|
149 | 160 | self.profIndex = nVoltProfiles |
|
|
150 | 161 | |
|
|
151 | 162 | elif nVoltProfiles < nProfiles: |
|
|
152 | 163 | |
|
|
153 | 164 | if self.profIndex == 0: |
|
|
154 | 165 | self.id_min = 0 |
|
|
155 | 166 | self.id_max = nVoltProfiles |
|
|
156 | 167 | |
|
|
157 |
self.buffer[:,self.id_min:self.id_max, |
|
|
|
168 | self.buffer[:, self.id_min:self.id_max, | |
|
|
169 | :] = self.dataIn.data | |
|
|
158 | 170 | self.profIndex += nVoltProfiles |
|
|
159 | 171 | self.id_min += nVoltProfiles |
|
|
160 | 172 | self.id_max += nVoltProfiles |
|
|
161 | 173 | else: |
|
|
162 |
raise ValueError, "The type object %s has %d profiles, it should just has %d profiles"%( |
|
|
|
174 | raise ValueError, "The type object %s has %d profiles, it should just has %d profiles" % ( | |
|
|
175 | self.dataIn.type, self.dataIn.data.shape[1], nProfiles) | |
|
|
163 | 176 | self.dataOut.flagNoData = True |
|
|
164 | 177 | return 0 |
|
|
165 | 178 | else: |
|
|
166 | self.buffer[:,self.profIndex,:] = self.dataIn.data.copy() | |
|
|
179 | self.buffer[:, self.profIndex, :] = self.dataIn.data.copy() | |
|
|
167 | 180 | self.profIndex += 1 |
|
|
168 | 181 | |
|
|
169 | 182 | if self.firstdatatime == None: |
|
|
170 | 183 | self.firstdatatime = self.dataIn.utctime |
|
|
171 | 184 | |
|
|
172 | 185 | if self.profIndex == nProfiles: |
|
|
173 | 186 | self.__updateSpecFromVoltage() |
|
|
174 | 187 | self.__getFft() |
|
|
175 | 188 | |
|
|
176 | 189 | self.dataOut.flagNoData = False |
|
|
177 | 190 | self.firstdatatime = None |
|
|
178 | 191 | self.profIndex = 0 |
|
|
179 | 192 | |
|
|
180 | 193 | return True |
|
|
181 | 194 | |
|
|
182 |
raise ValueError, "The type of input object '%s' is not valid"%( |
|
|
|
195 | raise ValueError, "The type of input object '%s' is not valid" % ( | |
|
|
196 | self.dataIn.type) | |
|
|
183 | 197 | |
|
|
184 | 198 | def __selectPairs(self, pairsList): |
|
|
185 | 199 | |
|
|
186 |
if not pairsList: |
|
|
|
200 | if not pairsList: | |
|
|
187 | 201 | return |
|
|
188 | 202 | |
|
|
189 | 203 | pairs = [] |
|
|
190 | 204 | pairsIndex = [] |
|
|
191 | 205 | |
|
|
192 | 206 | for pair in pairsList: |
|
|
193 | 207 | if pair[0] not in self.dataOut.channelList or pair[1] not in self.dataOut.channelList: |
|
|
194 | 208 | continue |
|
|
195 | 209 | pairs.append(pair) |
|
|
196 | 210 | pairsIndex.append(pairs.index(pair)) |
|
|
197 | ||
|
|
211 | ||
|
|
198 | 212 | self.dataOut.data_cspc = self.dataOut.data_cspc[pairsIndex] |
|
|
199 | 213 | self.dataOut.pairsList = pairs |
|
|
200 | 214 | |
|
|
201 | 215 | return |
|
|
202 | 216 | |
|
|
203 | 217 | def __selectPairsByChannel(self, channelList=None): |
|
|
204 | 218 | |
|
|
205 | 219 | if channelList == None: |
|
|
206 | 220 | return |
|
|
207 | 221 | |
|
|
208 | 222 | pairsIndexListSelected = [] |
|
|
209 | 223 | for pairIndex in self.dataOut.pairsIndexList: |
|
|
210 | #First pair | |
|
|
224 | # First pair | |
|
|
211 | 225 | if self.dataOut.pairsList[pairIndex][0] not in channelList: |
|
|
212 | 226 | continue |
|
|
213 | #Second pair | |
|
|
227 | # Second pair | |
|
|
214 | 228 | if self.dataOut.pairsList[pairIndex][1] not in channelList: |
|
|
215 | 229 | continue |
|
|
216 | 230 | |
|
|
217 | 231 | pairsIndexListSelected.append(pairIndex) |
|
|
218 | 232 | |
|
|
219 | 233 | if not pairsIndexListSelected: |
|
|
220 | 234 | self.dataOut.data_cspc = None |
|
|
221 | 235 | self.dataOut.pairsList = [] |
|
|
222 | 236 | return |
|
|
223 | 237 | |
|
|
224 | 238 | self.dataOut.data_cspc = self.dataOut.data_cspc[pairsIndexListSelected] |
|
|
225 |
self.dataOut.pairsList = [self.dataOut.pairsList[i] |
|
|
|
239 | self.dataOut.pairsList = [self.dataOut.pairsList[i] | |
|
|
240 | for i in pairsIndexListSelected] | |
|
|
226 | 241 | |
|
|
227 | 242 | return |
|
|
228 | 243 | |
|
|
229 | 244 | def selectChannels(self, channelList): |
|
|
230 | 245 | |
|
|
231 | 246 | channelIndexList = [] |
|
|
232 | 247 | |
|
|
233 | 248 | for channel in channelList: |
|
|
234 | 249 | if channel not in self.dataOut.channelList: |
|
|
235 |
raise ValueError, "Error selecting channels, Channel %d is not valid.\nAvailable channels = %s" %( |
|
|
|
250 | raise ValueError, "Error selecting channels, Channel %d is not valid.\nAvailable channels = %s" % ( | |
|
|
251 | channel, str(self.dataOut.channelList)) | |
|
|
236 | 252 | |
|
|
237 | 253 | index = self.dataOut.channelList.index(channel) |
|
|
238 | 254 | channelIndexList.append(index) |
|
|
239 | 255 | |
|
|
240 | 256 | self.selectChannelsByIndex(channelIndexList) |
|
|
241 | 257 | |
|
|
242 | 258 | def selectChannelsByIndex(self, channelIndexList): |
|
|
243 | 259 | """ |
|
|
244 | 260 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|
245 | 261 | |
|
|
246 | 262 | Input: |
|
|
247 | 263 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|
248 | 264 | |
|
|
249 | 265 | Affected: |
|
|
250 | 266 | self.dataOut.data_spc |
|
|
251 | 267 | self.dataOut.channelIndexList |
|
|
252 | 268 | self.dataOut.nChannels |
|
|
253 | 269 | |
|
|
254 | 270 | Return: |
|
|
255 | 271 | None |
|
|
256 | 272 | """ |
|
|
257 | 273 | |
|
|
258 | 274 | for channelIndex in channelIndexList: |
|
|
259 | 275 | if channelIndex not in self.dataOut.channelIndexList: |
|
|
260 |
raise ValueError, "Error selecting channels: The value %d in channelIndexList is not valid.\nAvailable channel indexes = " %( |
|
|
|
276 | raise ValueError, "Error selecting channels: The value %d in channelIndexList is not valid.\nAvailable channel indexes = " % ( | |
|
|
277 | channelIndex, self.dataOut.channelIndexList) | |
|
|
261 | 278 | |
|
|
262 | 279 | # nChannels = len(channelIndexList) |
|
|
263 | 280 | |
|
|
264 | data_spc = self.dataOut.data_spc[channelIndexList,:] | |
|
|
265 | data_dc = self.dataOut.data_dc[channelIndexList,:] | |
|
|
281 | data_spc = self.dataOut.data_spc[channelIndexList, :] | |
|
|
282 | data_dc = self.dataOut.data_dc[channelIndexList, :] | |
|
|
266 | 283 | |
|
|
267 | 284 | self.dataOut.data_spc = data_spc |
|
|
268 | 285 | self.dataOut.data_dc = data_dc |
|
|
269 | 286 | |
|
|
270 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] | |
|
|
287 | self.dataOut.channelList = [ | |
|
|
288 | self.dataOut.channelList[i] for i in channelIndexList] | |
|
|
271 | 289 | # self.dataOut.nChannels = nChannels |
|
|
272 | 290 | |
|
|
273 | 291 | self.__selectPairsByChannel(self.dataOut.channelList) |
|
|
274 | 292 | |
|
|
275 | 293 | return 1 |
|
|
276 | 294 | |
|
|
277 | 295 | def selectHeights(self, minHei, maxHei): |
|
|
278 | 296 | """ |
|
|
279 | 297 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
|
280 | 298 | minHei <= height <= maxHei |
|
|
281 | 299 | |
|
|
282 | 300 | Input: |
|
|
283 | 301 | minHei : valor minimo de altura a considerar |
|
|
284 | 302 | maxHei : valor maximo de altura a considerar |
|
|
285 | 303 | |
|
|
286 | 304 | Affected: |
|
|
287 | 305 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
|
288 | 306 | |
|
|
289 | 307 | Return: |
|
|
290 | 308 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
291 | 309 | """ |
|
|
292 | 310 | |
|
|
293 | 311 | if (minHei > maxHei): |
|
|
294 |
raise ValueError, "Error selecting heights: Height range (%d,%d) is not valid" % ( |
|
|
|
312 | raise ValueError, "Error selecting heights: Height range (%d,%d) is not valid" % ( | |
|
|
313 | minHei, maxHei) | |
|
|
295 | 314 | |
|
|
296 | 315 | if (minHei < self.dataOut.heightList[0]): |
|
|
297 | 316 | minHei = self.dataOut.heightList[0] |
|
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298 | 317 | |
|
|
299 | 318 | if (maxHei > self.dataOut.heightList[-1]): |
|
|
300 | 319 | maxHei = self.dataOut.heightList[-1] |
|
|
301 | 320 | |
|
|
302 | 321 | minIndex = 0 |
|
|
303 | 322 | maxIndex = 0 |
|
|
304 | 323 | heights = self.dataOut.heightList |
|
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305 | 324 | |
|
|
306 | 325 | inda = numpy.where(heights >= minHei) |
|
|
307 | 326 | indb = numpy.where(heights <= maxHei) |
|
|
308 | 327 | |
|
|
309 | 328 | try: |
|
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310 | 329 | minIndex = inda[0][0] |
|
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311 | 330 | except: |
|
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312 | 331 | minIndex = 0 |
|
|
313 | 332 | |
|
|
314 | 333 | try: |
|
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315 | 334 | maxIndex = indb[0][-1] |
|
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316 | 335 | except: |
|
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317 | 336 | maxIndex = len(heights) |
|
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318 | 337 | |
|
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319 | 338 | self.selectHeightsByIndex(minIndex, maxIndex) |
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320 | 339 | |
|
|
321 | 340 | return 1 |
|
|
322 | 341 | |
|
|
323 |
def getBeaconSignal(self, tauindex |
|
|
|
324 | newheis = numpy.where(self.dataOut.heightList>self.dataOut.radarControllerHeaderObj.Taus[tauindex]) | |
|
|
342 | def getBeaconSignal(self, tauindex=0, channelindex=0, hei_ref=None): | |
|
|
343 | newheis = numpy.where( | |
|
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344 | self.dataOut.heightList > self.dataOut.radarControllerHeaderObj.Taus[tauindex]) | |
|
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325 | 345 | |
|
|
326 | 346 | if hei_ref != None: |
|
|
327 | newheis = numpy.where(self.dataOut.heightList>hei_ref) | |
|
|
347 | newheis = numpy.where(self.dataOut.heightList > hei_ref) | |
|
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328 | 348 | |
|
|
329 | 349 | minIndex = min(newheis[0]) |
|
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330 | 350 | maxIndex = max(newheis[0]) |
|
|
331 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] | |
|
|
332 | heightList = self.dataOut.heightList[minIndex:maxIndex+1] | |
|
|
351 | data_spc = self.dataOut.data_spc[:, :, minIndex:maxIndex + 1] | |
|
|
352 | heightList = self.dataOut.heightList[minIndex:maxIndex + 1] | |
|
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333 | 353 | |
|
|
334 | 354 | # determina indices |
|
|
335 |
nheis = int(self.dataOut.radarControllerHeaderObj.txB/ |
|
|
|
336 | avg_dB = 10*numpy.log10(numpy.sum(data_spc[channelindex,:,:],axis=0)) | |
|
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355 | nheis = int(self.dataOut.radarControllerHeaderObj.txB / | |
|
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356 | (self.dataOut.heightList[1] - self.dataOut.heightList[0])) | |
|
|
357 | avg_dB = 10 * \ | |
|
|
358 | numpy.log10(numpy.sum(data_spc[channelindex, :, :], axis=0)) | |
|
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337 | 359 | beacon_dB = numpy.sort(avg_dB)[-nheis:] |
|
|
338 | 360 | beacon_heiIndexList = [] |
|
|
339 | 361 | for val in avg_dB.tolist(): |
|
|
340 | 362 | if val >= beacon_dB[0]: |
|
|
341 | 363 | beacon_heiIndexList.append(avg_dB.tolist().index(val)) |
|
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342 | 364 | |
|
|
343 | 365 | #data_spc = data_spc[:,:,beacon_heiIndexList] |
|
|
344 | 366 | data_cspc = None |
|
|
345 | 367 | if self.dataOut.data_cspc is not None: |
|
|
346 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] | |
|
|
368 | data_cspc = self.dataOut.data_cspc[:, :, minIndex:maxIndex + 1] | |
|
|
347 | 369 | #data_cspc = data_cspc[:,:,beacon_heiIndexList] |
|
|
348 | 370 | |
|
|
349 | 371 | data_dc = None |
|
|
350 | 372 | if self.dataOut.data_dc is not None: |
|
|
351 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] | |
|
|
373 | data_dc = self.dataOut.data_dc[:, minIndex:maxIndex + 1] | |
|
|
352 | 374 | #data_dc = data_dc[:,beacon_heiIndexList] |
|
|
353 | 375 | |
|
|
354 | 376 | self.dataOut.data_spc = data_spc |
|
|
355 | 377 | self.dataOut.data_cspc = data_cspc |
|
|
356 | 378 | self.dataOut.data_dc = data_dc |
|
|
357 | 379 | self.dataOut.heightList = heightList |
|
|
358 | 380 | self.dataOut.beacon_heiIndexList = beacon_heiIndexList |
|
|
359 | 381 | |
|
|
360 | 382 | return 1 |
|
|
361 | 383 | |
|
|
362 | ||
|
|
363 | 384 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
|
364 | 385 | """ |
|
|
365 | 386 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
|
366 | 387 | minIndex <= index <= maxIndex |
|
|
367 | 388 | |
|
|
368 | 389 | Input: |
|
|
369 | 390 | minIndex : valor de indice minimo de altura a considerar |
|
|
370 | 391 | maxIndex : valor de indice maximo de altura a considerar |
|
|
371 | 392 | |
|
|
372 | 393 | Affected: |
|
|
373 | 394 | self.dataOut.data_spc |
|
|
374 | 395 | self.dataOut.data_cspc |
|
|
375 | 396 | self.dataOut.data_dc |
|
|
376 | 397 | self.dataOut.heightList |
|
|
377 | 398 | |
|
|
378 | 399 | Return: |
|
|
379 | 400 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
380 | 401 | """ |
|
|
381 | 402 | |
|
|
382 | 403 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
383 |
raise ValueError, "Error selecting heights: Index range (%d,%d) is not valid" % ( |
|
|
|
404 | raise ValueError, "Error selecting heights: Index range (%d,%d) is not valid" % ( | |
|
|
405 | minIndex, maxIndex) | |
|
|
384 | 406 | |
|
|
385 | 407 | if (maxIndex >= self.dataOut.nHeights): |
|
|
386 | maxIndex = self.dataOut.nHeights-1 | |
|
|
408 | maxIndex = self.dataOut.nHeights - 1 | |
|
|
387 | 409 | |
|
|
388 | #Spectra | |
|
|
389 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] | |
|
|
410 | # Spectra | |
|
|
411 | data_spc = self.dataOut.data_spc[:, :, minIndex:maxIndex + 1] | |
|
|
390 | 412 | |
|
|
391 | 413 | data_cspc = None |
|
|
392 | 414 | if self.dataOut.data_cspc is not None: |
|
|
393 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] | |
|
|
415 | data_cspc = self.dataOut.data_cspc[:, :, minIndex:maxIndex + 1] | |
|
|
394 | 416 | |
|
|
395 | 417 | data_dc = None |
|
|
396 | 418 | if self.dataOut.data_dc is not None: |
|
|
397 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] | |
|
|
419 | data_dc = self.dataOut.data_dc[:, minIndex:maxIndex + 1] | |
|
|
398 | 420 | |
|
|
399 | 421 | self.dataOut.data_spc = data_spc |
|
|
400 | 422 | self.dataOut.data_cspc = data_cspc |
|
|
401 | 423 | self.dataOut.data_dc = data_dc |
|
|
402 | 424 | |
|
|
403 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] | |
|
|
425 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex + 1] | |
|
|
404 | 426 | |
|
|
405 | 427 | return 1 |
|
|
406 | 428 | |
|
|
407 |
def removeDC(self, mode |
|
|
|
429 | def removeDC(self, mode=2): | |
|
|
408 | 430 | jspectra = self.dataOut.data_spc |
|
|
409 | 431 | jcspectra = self.dataOut.data_cspc |
|
|
410 | 432 | |
|
|
411 | ||
|
|
412 | 433 | num_chan = jspectra.shape[0] |
|
|
413 | 434 | num_hei = jspectra.shape[2] |
|
|
414 | 435 | |
|
|
415 | 436 | if jcspectra is not None: |
|
|
416 | 437 | jcspectraExist = True |
|
|
417 | 438 | num_pairs = jcspectra.shape[0] |
|
|
418 | else: jcspectraExist = False | |
|
|
439 | else: | |
|
|
440 | jcspectraExist = False | |
|
|
419 | 441 | |
|
|
420 | freq_dc = jspectra.shape[1]/2 | |
|
|
421 | ind_vel = numpy.array([-2,-1,1,2]) + freq_dc | |
|
|
442 | freq_dc = jspectra.shape[1] / 2 | |
|
|
443 | ind_vel = numpy.array([-2, -1, 1, 2]) + freq_dc | |
|
|
422 | 444 | |
|
|
423 | if ind_vel[0]<0: | |
|
|
424 | ind_vel[range(0,1)] = ind_vel[range(0,1)] + self.num_prof | |
|
|
445 | if ind_vel[0] < 0: | |
|
|
446 | ind_vel[range(0, 1)] = ind_vel[range(0, 1)] + self.num_prof | |
|
|
425 | 447 | |
|
|
426 | 448 | if mode == 1: |
|
|
427 | jspectra[:,freq_dc,:] = (jspectra[:,ind_vel[1],:] + jspectra[:,ind_vel[2],:])/2 #CORRECCION | |
|
|
449 | jspectra[:, freq_dc, :] = ( | |
|
|
450 | jspectra[:, ind_vel[1], :] + jspectra[:, ind_vel[2], :]) / 2 # CORRECCION | |
|
|
428 | 451 | |
|
|
429 | 452 | if jcspectraExist: |
|
|
430 | jcspectra[:,freq_dc,:] = (jcspectra[:,ind_vel[1],:] + jcspectra[:,ind_vel[2],:])/2 | |
|
|
453 | jcspectra[:, freq_dc, :] = ( | |
|
|
454 | jcspectra[:, ind_vel[1], :] + jcspectra[:, ind_vel[2], :]) / 2 | |
|
|
431 | 455 | |
|
|
432 | 456 | if mode == 2: |
|
|
433 | 457 | |
|
|
434 | vel = numpy.array([-2,-1,1,2]) | |
|
|
435 | xx = numpy.zeros([4,4]) | |
|
|
458 | vel = numpy.array([-2, -1, 1, 2]) | |
|
|
459 | xx = numpy.zeros([4, 4]) | |
|
|
436 | 460 | |
|
|
437 | 461 | for fil in range(4): |
|
|
438 | xx[fil,:] = vel[fil]**numpy.asarray(range(4)) | |
|
|
462 | xx[fil, :] = vel[fil]**numpy.asarray(range(4)) | |
|
|
439 | 463 | |
|
|
440 | 464 | xx_inv = numpy.linalg.inv(xx) |
|
|
441 | xx_aux = xx_inv[0,:] | |
|
|
465 | xx_aux = xx_inv[0, :] | |
|
|
442 | 466 | |
|
|
443 | 467 | for ich in range(num_chan): |
|
|
444 | yy = jspectra[ich,ind_vel,:] | |
|
|
445 | jspectra[ich,freq_dc,:] = numpy.dot(xx_aux,yy) | |
|
|
468 | yy = jspectra[ich, ind_vel, :] | |
|
|
469 | jspectra[ich, freq_dc, :] = numpy.dot(xx_aux, yy) | |
|
|
446 | 470 | |
|
|
447 | junkid = jspectra[ich,freq_dc,:]<=0 | |
|
|
471 | junkid = jspectra[ich, freq_dc, :] <= 0 | |
|
|
448 | 472 | cjunkid = sum(junkid) |
|
|
449 | 473 | |
|
|
450 | 474 | if cjunkid.any(): |
|
|
451 |
jspectra[ich,freq_dc,junkid.nonzero()] = ( |
|
|
|
475 | jspectra[ich, freq_dc, junkid.nonzero()] = ( | |
|
|
476 | jspectra[ich, ind_vel[1], junkid] + jspectra[ich, ind_vel[2], junkid]) / 2 | |
|
|
452 | 477 | |
|
|
453 | 478 | if jcspectraExist: |
|
|
454 | 479 | for ip in range(num_pairs): |
|
|
455 | yy = jcspectra[ip,ind_vel,:] | |
|
|
456 | jcspectra[ip,freq_dc,:] = numpy.dot(xx_aux,yy) | |
|
|
457 | ||
|
|
480 | yy = jcspectra[ip, ind_vel, :] | |
|
|
481 | jcspectra[ip, freq_dc, :] = numpy.dot(xx_aux, yy) | |
|
|
458 | 482 | |
|
|
459 | 483 | self.dataOut.data_spc = jspectra |
|
|
460 | 484 | self.dataOut.data_cspc = jcspectra |
|
|
461 | 485 | |
|
|
462 | 486 | return 1 |
|
|
463 | 487 | |
|
|
464 |
def removeInterference(self, interf |
|
|
|
488 | def removeInterference(self, interf=2, hei_interf=None, nhei_interf=None, offhei_interf=None): | |
|
|
465 | 489 | |
|
|
466 | 490 | jspectra = self.dataOut.data_spc |
|
|
467 | 491 | jcspectra = self.dataOut.data_cspc |
|
|
468 | 492 | jnoise = self.dataOut.getNoise() |
|
|
469 | 493 | num_incoh = self.dataOut.nIncohInt |
|
|
470 | 494 | |
|
|
471 |
num_channel |
|
|
|
472 |
num_prof |
|
|
|
473 |
num_hei |
|
|
|
495 | num_channel = jspectra.shape[0] | |
|
|
496 | num_prof = jspectra.shape[1] | |
|
|
497 | num_hei = jspectra.shape[2] | |
|
|
474 | 498 | |
|
|
475 | #hei_interf | |
|
|
499 | # hei_interf | |
|
|
476 | 500 | if hei_interf is None: |
|
|
477 |
count_hei = num_hei/2 |
|
|
|
501 | count_hei = num_hei / 2 # Como es entero no importa | |
|
|
478 | 502 | hei_interf = numpy.asmatrix(range(count_hei)) + num_hei - count_hei |
|
|
479 | 503 | hei_interf = numpy.asarray(hei_interf)[0] |
|
|
480 | #nhei_interf | |
|
|
504 | # nhei_interf | |
|
|
481 | 505 | if (nhei_interf == None): |
|
|
482 | 506 | nhei_interf = 5 |
|
|
483 | 507 | if (nhei_interf < 1): |
|
|
484 | 508 | nhei_interf = 1 |
|
|
485 | 509 | if (nhei_interf > count_hei): |
|
|
486 | 510 | nhei_interf = count_hei |
|
|
487 | 511 | if (offhei_interf == None): |
|
|
488 | 512 | offhei_interf = 0 |
|
|
489 | 513 | |
|
|
490 | 514 | ind_hei = range(num_hei) |
|
|
491 | 515 | # mask_prof = numpy.asarray(range(num_prof - 2)) + 1 |
|
|
492 | 516 | # mask_prof[range(num_prof/2 - 1,len(mask_prof))] += 1 |
|
|
493 | 517 | mask_prof = numpy.asarray(range(num_prof)) |
|
|
494 | 518 | num_mask_prof = mask_prof.size |
|
|
495 | comp_mask_prof = [0, num_prof/2] | |
|
|
496 | ||
|
|
519 | comp_mask_prof = [0, num_prof / 2] | |
|
|
497 | 520 | |
|
|
498 | #noise_exist: Determina si la variable jnoise ha sido definida y contiene la informacion del ruido de cada canal | |
|
|
521 | # noise_exist: Determina si la variable jnoise ha sido definida y contiene la informacion del ruido de cada canal | |
|
|
499 | 522 | if (jnoise.size < num_channel or numpy.isnan(jnoise).any()): |
|
|
500 | 523 | jnoise = numpy.nan |
|
|
501 | 524 | noise_exist = jnoise[0] < numpy.Inf |
|
|
502 | 525 | |
|
|
503 | #Subrutina de Remocion de la Interferencia | |
|
|
526 | # Subrutina de Remocion de la Interferencia | |
|
|
504 | 527 | for ich in range(num_channel): |
|
|
505 | #Se ordena los espectros segun su potencia (menor a mayor) | |
|
|
506 | power = jspectra[ich,mask_prof,:] | |
|
|
507 | power = power[:,hei_interf] | |
|
|
508 |
power = power.sum(axis |
|
|
|
528 | # Se ordena los espectros segun su potencia (menor a mayor) | |
|
|
529 | power = jspectra[ich, mask_prof, :] | |
|
|
530 | power = power[:, hei_interf] | |
|
|
531 | power = power.sum(axis=0) | |
|
|
509 | 532 | psort = power.ravel().argsort() |
|
|
510 | 533 | |
|
|
511 | #Se estima la interferencia promedio en los Espectros de Potencia empleando | |
|
|
512 |
junkspc_interf = jspectra[ich,:,hei_interf[psort[range( |
|
|
|
534 | # Se estima la interferencia promedio en los Espectros de Potencia empleando | |
|
|
535 | junkspc_interf = jspectra[ich, :, hei_interf[psort[range( | |
|
|
536 | offhei_interf, nhei_interf + offhei_interf)]]] | |
|
|
513 | 537 | |
|
|
514 | 538 | if noise_exist: |
|
|
515 | # tmp_noise = jnoise[ich] / num_prof | |
|
|
539 | # tmp_noise = jnoise[ich] / num_prof | |
|
|
516 | 540 | tmp_noise = jnoise[ich] |
|
|
517 | 541 | junkspc_interf = junkspc_interf - tmp_noise |
|
|
518 | 542 | #junkspc_interf[:,comp_mask_prof] = 0 |
|
|
519 | 543 | |
|
|
520 |
jspc_interf = junkspc_interf.sum(axis |
|
|
|
544 | jspc_interf = junkspc_interf.sum(axis=0) / nhei_interf | |
|
|
521 | 545 | jspc_interf = jspc_interf.transpose() |
|
|
522 | #Calculando el espectro de interferencia promedio | |
|
|
523 | noiseid = numpy.where(jspc_interf <= tmp_noise/ numpy.sqrt(num_incoh)) | |
|
|
546 | # Calculando el espectro de interferencia promedio | |
|
|
547 | noiseid = numpy.where( | |
|
|
548 | jspc_interf <= tmp_noise / numpy.sqrt(num_incoh)) | |
|
|
524 | 549 | noiseid = noiseid[0] |
|
|
525 | 550 | cnoiseid = noiseid.size |
|
|
526 | interfid = numpy.where(jspc_interf > tmp_noise/ numpy.sqrt(num_incoh)) | |
|
|
551 | interfid = numpy.where( | |
|
|
552 | jspc_interf > tmp_noise / numpy.sqrt(num_incoh)) | |
|
|
527 | 553 | interfid = interfid[0] |
|
|
528 | 554 | cinterfid = interfid.size |
|
|
529 | 555 | |
|
|
530 |
if (cnoiseid > 0): |
|
|
|
556 | if (cnoiseid > 0): | |
|
|
557 | jspc_interf[noiseid] = 0 | |
|
|
531 | 558 | |
|
|
532 | #Expandiendo los perfiles a limpiar | |
|
|
559 | # Expandiendo los perfiles a limpiar | |
|
|
533 | 560 | if (cinterfid > 0): |
|
|
534 | new_interfid = (numpy.r_[interfid - 1, interfid, interfid + 1] + num_prof)%num_prof | |
|
|
561 | new_interfid = ( | |
|
|
562 | numpy.r_[interfid - 1, interfid, interfid + 1] + num_prof) % num_prof | |
|
|
535 | 563 | new_interfid = numpy.asarray(new_interfid) |
|
|
536 | 564 | new_interfid = {x for x in new_interfid} |
|
|
537 | 565 | new_interfid = numpy.array(list(new_interfid)) |
|
|
538 | 566 | new_cinterfid = new_interfid.size |
|
|
539 |
else: |
|
|
|
567 | else: | |
|
|
568 | new_cinterfid = 0 | |
|
|
540 | 569 | |
|
|
541 | 570 | for ip in range(new_cinterfid): |
|
|
542 | ind = junkspc_interf[:,new_interfid[ip]].ravel().argsort() | |
|
|
543 |
jspc_interf[new_interfid[ip] |
|
|
|
544 | ||
|
|
571 | ind = junkspc_interf[:, new_interfid[ip]].ravel().argsort() | |
|
|
572 | jspc_interf[new_interfid[ip] | |
|
|
573 | ] = junkspc_interf[ind[nhei_interf / 2], new_interfid[ip]] | |
|
|
545 | 574 | |
|
|
546 |
jspectra[ich,:,ind_hei] = jspectra[ich,:, |
|
|
|
575 | jspectra[ich, :, ind_hei] = jspectra[ich, :, | |
|
|
576 | ind_hei] - jspc_interf # Corregir indices | |
|
|
547 | 577 | |
|
|
548 | #Removiendo la interferencia del punto de mayor interferencia | |
|
|
578 | # Removiendo la interferencia del punto de mayor interferencia | |
|
|
549 | 579 | ListAux = jspc_interf[mask_prof].tolist() |
|
|
550 | 580 | maxid = ListAux.index(max(ListAux)) |
|
|
551 | 581 | |
|
|
552 | ||
|
|
553 | 582 | if cinterfid > 0: |
|
|
554 | for ip in range(cinterfid*(interf == 2) - 1): | |
|
|
555 |
ind = (jspectra[ich,interfid[ip],:] < tmp_noise* |
|
|
|
583 | for ip in range(cinterfid * (interf == 2) - 1): | |
|
|
584 | ind = (jspectra[ich, interfid[ip], :] < tmp_noise * | |
|
|
585 | (1 + 1 / numpy.sqrt(num_incoh))).nonzero() | |
|
|
556 | 586 | cind = len(ind) |
|
|
557 | 587 | |
|
|
558 | 588 | if (cind > 0): |
|
|
559 |
jspectra[ich,interfid[ip],ind] = tmp_noise* |
|
|
|
589 | jspectra[ich, interfid[ip], ind] = tmp_noise * \ | |
|
|
590 | (1 + (numpy.random.uniform(cind) - 0.5) / | |
|
|
591 | numpy.sqrt(num_incoh)) | |
|
|
560 | 592 | |
|
|
561 | ind = numpy.array([-2,-1,1,2]) | |
|
|
562 | xx = numpy.zeros([4,4]) | |
|
|
593 | ind = numpy.array([-2, -1, 1, 2]) | |
|
|
594 | xx = numpy.zeros([4, 4]) | |
|
|
563 | 595 | |
|
|
564 | 596 | for id1 in range(4): |
|
|
565 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) | |
|
|
597 | xx[:, id1] = ind[id1]**numpy.asarray(range(4)) | |
|
|
566 | 598 | |
|
|
567 | 599 | xx_inv = numpy.linalg.inv(xx) |
|
|
568 | xx = xx_inv[:,0] | |
|
|
569 | ind = (ind + maxid + num_mask_prof)%num_mask_prof | |
|
|
570 | yy = jspectra[ich,mask_prof[ind],:] | |
|
|
571 |
jspectra[ich,mask_prof[maxid],:] = numpy.dot( |
|
|
|
572 | ||
|
|
573 | ||
|
|
574 |
indAux = (jspectra[ich,:,:] < tmp_noise* |
|
|
|
575 | jspectra[ich,indAux[0],indAux[1]] = tmp_noise * (1 - 1/numpy.sqrt(num_incoh)) | |
|
|
576 | ||
|
|
577 | #Remocion de Interferencia en el Cross Spectra | |
|
|
578 | if jcspectra is None: return jspectra, jcspectra | |
|
|
579 | num_pairs = jcspectra.size/(num_prof*num_hei) | |
|
|
600 | xx = xx_inv[:, 0] | |
|
|
601 | ind = (ind + maxid + num_mask_prof) % num_mask_prof | |
|
|
602 | yy = jspectra[ich, mask_prof[ind], :] | |
|
|
603 | jspectra[ich, mask_prof[maxid], :] = numpy.dot( | |
|
|
604 | yy.transpose(), xx) | |
|
|
605 | ||
|
|
606 | indAux = (jspectra[ich, :, :] < tmp_noise * | |
|
|
607 | (1 - 1 / numpy.sqrt(num_incoh))).nonzero() | |
|
|
608 | jspectra[ich, indAux[0], indAux[1]] = tmp_noise * \ | |
|
|
609 | (1 - 1 / numpy.sqrt(num_incoh)) | |
|
|
610 | ||
|
|
611 | # Remocion de Interferencia en el Cross Spectra | |
|
|
612 | if jcspectra is None: | |
|
|
613 | return jspectra, jcspectra | |
|
|
614 | num_pairs = jcspectra.size / (num_prof * num_hei) | |
|
|
580 | 615 | jcspectra = jcspectra.reshape(num_pairs, num_prof, num_hei) |
|
|
581 | 616 | |
|
|
582 | 617 | for ip in range(num_pairs): |
|
|
583 | 618 | |
|
|
584 | 619 | #------------------------------------------- |
|
|
585 | 620 | |
|
|
586 | cspower = numpy.abs(jcspectra[ip,mask_prof,:]) | |
|
|
587 | cspower = cspower[:,hei_interf] | |
|
|
588 |
cspower = cspower.sum(axis |
|
|
|
621 | cspower = numpy.abs(jcspectra[ip, mask_prof, :]) | |
|
|
622 | cspower = cspower[:, hei_interf] | |
|
|
623 | cspower = cspower.sum(axis=0) | |
|
|
589 | 624 | |
|
|
590 | 625 | cspsort = cspower.ravel().argsort() |
|
|
591 |
junkcspc_interf = jcspectra[ip,:,hei_interf[cspsort[range( |
|
|
|
626 | junkcspc_interf = jcspectra[ip, :, hei_interf[cspsort[range( | |
|
|
627 | offhei_interf, nhei_interf + offhei_interf)]]] | |
|
|
592 | 628 | junkcspc_interf = junkcspc_interf.transpose() |
|
|
593 |
jcspc_interf = junkcspc_interf.sum(axis |
|
|
|
629 | jcspc_interf = junkcspc_interf.sum(axis=1) / nhei_interf | |
|
|
594 | 630 | |
|
|
595 | 631 | ind = numpy.abs(jcspc_interf[mask_prof]).ravel().argsort() |
|
|
596 | 632 | |
|
|
597 |
median_real = numpy.median(numpy.real( |
|
|
|
598 |
|
|
|
|
599 | junkcspc_interf[comp_mask_prof,:] = numpy.complex(median_real, median_imag) | |
|
|
633 | median_real = numpy.median(numpy.real( | |
|
|
634 | junkcspc_interf[mask_prof[ind[range(3 * num_prof / 4)]], :])) | |
|
|
635 | median_imag = numpy.median(numpy.imag( | |
|
|
636 | junkcspc_interf[mask_prof[ind[range(3 * num_prof / 4)]], :])) | |
|
|
637 | junkcspc_interf[comp_mask_prof, :] = numpy.complex( | |
|
|
638 | median_real, median_imag) | |
|
|
600 | 639 | |
|
|
601 | 640 | for iprof in range(num_prof): |
|
|
602 | ind = numpy.abs(junkcspc_interf[iprof,:]).ravel().argsort() | |
|
|
603 |
jcspc_interf[iprof] = junkcspc_interf[iprof, |
|
|
|
641 | ind = numpy.abs(junkcspc_interf[iprof, :]).ravel().argsort() | |
|
|
642 | jcspc_interf[iprof] = junkcspc_interf[iprof, | |
|
|
643 | ind[nhei_interf / 2]] | |
|
|
604 | 644 | |
|
|
605 | #Removiendo la Interferencia | |
|
|
606 |
jcspectra[ip,:,ind_hei] = jcspectra[ip, |
|
|
|
645 | # Removiendo la Interferencia | |
|
|
646 | jcspectra[ip, :, ind_hei] = jcspectra[ip, | |
|
|
647 | :, ind_hei] - jcspc_interf | |
|
|
607 | 648 | |
|
|
608 | 649 | ListAux = numpy.abs(jcspc_interf[mask_prof]).tolist() |
|
|
609 | 650 | maxid = ListAux.index(max(ListAux)) |
|
|
610 | 651 | |
|
|
611 | ind = numpy.array([-2,-1,1,2]) | |
|
|
612 | xx = numpy.zeros([4,4]) | |
|
|
652 | ind = numpy.array([-2, -1, 1, 2]) | |
|
|
653 | xx = numpy.zeros([4, 4]) | |
|
|
613 | 654 | |
|
|
614 | 655 | for id1 in range(4): |
|
|
615 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) | |
|
|
656 | xx[:, id1] = ind[id1]**numpy.asarray(range(4)) | |
|
|
616 | 657 | |
|
|
617 | 658 | xx_inv = numpy.linalg.inv(xx) |
|
|
618 | xx = xx_inv[:,0] | |
|
|
659 | xx = xx_inv[:, 0] | |
|
|
619 | 660 | |
|
|
620 | ind = (ind + maxid + num_mask_prof)%num_mask_prof | |
|
|
621 | yy = jcspectra[ip,mask_prof[ind],:] | |
|
|
622 | jcspectra[ip,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) | |
|
|
661 | ind = (ind + maxid + num_mask_prof) % num_mask_prof | |
|
|
662 | yy = jcspectra[ip, mask_prof[ind], :] | |
|
|
663 | jcspectra[ip, mask_prof[maxid], :] = numpy.dot(yy.transpose(), xx) | |
|
|
623 | 664 | |
|
|
624 | #Guardar Resultados | |
|
|
665 | # Guardar Resultados | |
|
|
625 | 666 | self.dataOut.data_spc = jspectra |
|
|
626 | 667 | self.dataOut.data_cspc = jcspectra |
|
|
627 | 668 | |
|
|
628 | 669 | return 1 |
|
|
629 | 670 | |
|
|
630 | 671 | def setRadarFrequency(self, frequency=None): |
|
|
631 | 672 | |
|
|
632 | 673 | if frequency != None: |
|
|
633 | 674 | self.dataOut.frequency = frequency |
|
|
634 | 675 | |
|
|
635 | 676 | return 1 |
|
|
636 | 677 | |
|
|
637 | 678 | def getNoise(self, minHei=None, maxHei=None, minVel=None, maxVel=None): |
|
|
638 | #validacion de rango | |
|
|
679 | # validacion de rango | |
|
|
639 | 680 | if minHei == None: |
|
|
640 | 681 | minHei = self.dataOut.heightList[0] |
|
|
641 | 682 | |
|
|
642 | 683 | if maxHei == None: |
|
|
643 | 684 | maxHei = self.dataOut.heightList[-1] |
|
|
644 | 685 | |
|
|
645 | 686 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
|
646 | print 'minHei: %.2f is out of the heights range'%(minHei) | |
|
|
647 | print 'minHei is setting to %.2f'%(self.dataOut.heightList[0]) | |
|
|
687 | print 'minHei: %.2f is out of the heights range' % (minHei) | |
|
|
688 | print 'minHei is setting to %.2f' % (self.dataOut.heightList[0]) | |
|
|
648 | 689 | minHei = self.dataOut.heightList[0] |
|
|
649 | 690 | |
|
|
650 | 691 | if (maxHei > self.dataOut.heightList[-1]) or (maxHei < minHei): |
|
|
651 | print 'maxHei: %.2f is out of the heights range'%(maxHei) | |
|
|
652 | print 'maxHei is setting to %.2f'%(self.dataOut.heightList[-1]) | |
|
|
692 | print 'maxHei: %.2f is out of the heights range' % (maxHei) | |
|
|
693 | print 'maxHei is setting to %.2f' % (self.dataOut.heightList[-1]) | |
|
|
653 | 694 | maxHei = self.dataOut.heightList[-1] |
|
|
654 | 695 | |
|
|
655 | 696 | # validacion de velocidades |
|
|
656 | 697 | velrange = self.dataOut.getVelRange(1) |
|
|
657 | 698 | |
|
|
658 | 699 | if minVel == None: |
|
|
659 | 700 | minVel = velrange[0] |
|
|
660 | 701 | |
|
|
661 | 702 | if maxVel == None: |
|
|
662 | 703 | maxVel = velrange[-1] |
|
|
663 | 704 | |
|
|
664 | 705 | if (minVel < velrange[0]) or (minVel > maxVel): |
|
|
665 | print 'minVel: %.2f is out of the velocity range'%(minVel) | |
|
|
666 | print 'minVel is setting to %.2f'%(velrange[0]) | |
|
|
706 | print 'minVel: %.2f is out of the velocity range' % (minVel) | |
|
|
707 | print 'minVel is setting to %.2f' % (velrange[0]) | |
|
|
667 | 708 | minVel = velrange[0] |
|
|
668 | 709 | |
|
|
669 | 710 | if (maxVel > velrange[-1]) or (maxVel < minVel): |
|
|
670 | print 'maxVel: %.2f is out of the velocity range'%(maxVel) | |
|
|
671 | print 'maxVel is setting to %.2f'%(velrange[-1]) | |
|
|
711 | print 'maxVel: %.2f is out of the velocity range' % (maxVel) | |
|
|
712 | print 'maxVel is setting to %.2f' % (velrange[-1]) | |
|
|
672 | 713 | maxVel = velrange[-1] |
|
|
673 | 714 | |
|
|
674 | 715 | # seleccion de indices para rango |
|
|
675 | 716 | minIndex = 0 |
|
|
676 | 717 | maxIndex = 0 |
|
|
677 | 718 | heights = self.dataOut.heightList |
|
|
678 | 719 | |
|
|
679 | 720 | inda = numpy.where(heights >= minHei) |
|
|
680 | 721 | indb = numpy.where(heights <= maxHei) |
|
|
681 | 722 | |
|
|
682 | 723 | try: |
|
|
683 | 724 | minIndex = inda[0][0] |
|
|
684 | 725 | except: |
|
|
685 | 726 | minIndex = 0 |
|
|
686 | 727 | |
|
|
687 | 728 | try: |
|
|
688 | 729 | maxIndex = indb[0][-1] |
|
|
689 | 730 | except: |
|
|
690 | 731 | maxIndex = len(heights) |
|
|
691 | 732 | |
|
|
692 | 733 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
693 |
raise ValueError, "some value in (%d,%d) is not valid" % ( |
|
|
|
734 | raise ValueError, "some value in (%d,%d) is not valid" % ( | |
|
|
735 | minIndex, maxIndex) | |
|
|
694 | 736 | |
|
|
695 | 737 | if (maxIndex >= self.dataOut.nHeights): |
|
|
696 | maxIndex = self.dataOut.nHeights-1 | |
|
|
738 | maxIndex = self.dataOut.nHeights - 1 | |
|
|
697 | 739 | |
|
|
698 | 740 | # seleccion de indices para velocidades |
|
|
699 | 741 | indminvel = numpy.where(velrange >= minVel) |
|
|
700 | 742 | indmaxvel = numpy.where(velrange <= maxVel) |
|
|
701 | 743 | try: |
|
|
702 | 744 | minIndexVel = indminvel[0][0] |
|
|
703 | 745 | except: |
|
|
704 | 746 | minIndexVel = 0 |
|
|
705 | 747 | |
|
|
706 | 748 | try: |
|
|
707 | 749 | maxIndexVel = indmaxvel[0][-1] |
|
|
708 | 750 | except: |
|
|
709 | 751 | maxIndexVel = len(velrange) |
|
|
710 | 752 | |
|
|
711 | #seleccion del espectro | |
|
|
712 |
data_spc = self.dataOut.data_spc[:, |
|
|
|
713 | #estimacion de ruido | |
|
|
753 | # seleccion del espectro | |
|
|
754 | data_spc = self.dataOut.data_spc[:, | |
|
|
755 | minIndexVel:maxIndexVel + 1, minIndex:maxIndex + 1] | |
|
|
756 | # estimacion de ruido | |
|
|
714 | 757 | noise = numpy.zeros(self.dataOut.nChannels) |
|
|
715 | 758 | |
|
|
716 | 759 | for channel in range(self.dataOut.nChannels): |
|
|
717 | daux = data_spc[channel,:,:] | |
|
|
760 | daux = data_spc[channel, :, :] | |
|
|
718 | 761 | noise[channel] = hildebrand_sekhon(daux, self.dataOut.nIncohInt) |
|
|
719 | 762 | |
|
|
720 | 763 | self.dataOut.noise_estimation = noise.copy() |
|
|
721 | 764 | |
|
|
722 | 765 | return 1 |
|
|
723 | 766 | |
|
|
724 | class IncohInt(Operation): | |
|
|
725 | 767 | |
|
|
768 | class IncohInt(Operation): | |
|
|
726 | 769 | |
|
|
727 | 770 | __profIndex = 0 |
|
|
728 |
__withOverapping |
|
|
|
771 | __withOverapping = False | |
|
|
729 | 772 | |
|
|
730 | 773 | __byTime = False |
|
|
731 | 774 | __initime = None |
|
|
732 | 775 | __lastdatatime = None |
|
|
733 | 776 | __integrationtime = None |
|
|
734 | 777 | |
|
|
735 | 778 | __buffer_spc = None |
|
|
736 | 779 | __buffer_cspc = None |
|
|
737 | 780 | __buffer_dc = None |
|
|
738 | 781 | |
|
|
739 | 782 | __dataReady = False |
|
|
740 | 783 | |
|
|
741 | 784 | __timeInterval = None |
|
|
742 | 785 | |
|
|
743 | 786 | n = None |
|
|
744 | 787 | |
|
|
745 | ||
|
|
746 | ||
|
|
747 | 788 | def __init__(self, **kwargs): |
|
|
748 | 789 | |
|
|
749 | 790 | Operation.__init__(self, **kwargs) |
|
|
750 | 791 | # self.isConfig = False |
|
|
751 | 792 | |
|
|
752 | 793 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
|
753 | 794 | """ |
|
|
754 | 795 | Set the parameters of the integration class. |
|
|
755 | 796 | |
|
|
756 | 797 | Inputs: |
|
|
757 | 798 | |
|
|
758 | 799 | n : Number of coherent integrations |
|
|
759 | 800 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|
760 | 801 | overlapping : |
|
|
761 | 802 | |
|
|
762 | 803 | """ |
|
|
763 | 804 | |
|
|
764 | 805 | self.__initime = None |
|
|
765 | 806 | self.__lastdatatime = 0 |
|
|
766 | 807 | |
|
|
767 | 808 | self.__buffer_spc = 0 |
|
|
768 | 809 | self.__buffer_cspc = 0 |
|
|
769 | 810 | self.__buffer_dc = 0 |
|
|
770 | 811 | |
|
|
771 | 812 | self.__profIndex = 0 |
|
|
772 | 813 | self.__dataReady = False |
|
|
773 | 814 | self.__byTime = False |
|
|
774 | 815 | |
|
|
775 | 816 | if n is None and timeInterval is None: |
|
|
776 | 817 | raise ValueError, "n or timeInterval should be specified ..." |
|
|
777 | 818 | |
|
|
778 | 819 | if n is not None: |
|
|
779 | 820 | self.n = int(n) |
|
|
780 | 821 | else: |
|
|
781 |
|
|
|
|
822 | # if (type(timeInterval)!=integer) -> change this line | |
|
|
823 | self.__integrationtime = int(timeInterval) | |
|
|
782 | 824 | self.n = None |
|
|
783 | 825 | self.__byTime = True |
|
|
784 | 826 | |
|
|
785 | 827 | def putData(self, data_spc, data_cspc, data_dc): |
|
|
786 | ||
|
|
787 | 828 | """ |
|
|
788 | 829 | Add a profile to the __buffer_spc and increase in one the __profileIndex |
|
|
789 | 830 | |
|
|
790 | 831 | """ |
|
|
791 | 832 | |
|
|
792 | 833 | self.__buffer_spc += data_spc |
|
|
793 | 834 | |
|
|
794 | 835 | if data_cspc is None: |
|
|
795 | 836 | self.__buffer_cspc = None |
|
|
796 | 837 | else: |
|
|
797 | 838 | self.__buffer_cspc += data_cspc |
|
|
798 | 839 | |
|
|
799 | 840 | if data_dc is None: |
|
|
800 | 841 | self.__buffer_dc = None |
|
|
801 | 842 | else: |
|
|
802 | 843 | self.__buffer_dc += data_dc |
|
|
803 | 844 | |
|
|
804 | 845 | self.__profIndex += 1 |
|
|
805 | 846 | |
|
|
806 | 847 | return |
|
|
807 | 848 | |
|
|
808 | 849 | def pushData(self): |
|
|
809 | 850 | """ |
|
|
810 | 851 | Return the sum of the last profiles and the profiles used in the sum. |
|
|
811 | 852 | |
|
|
812 | 853 | Affected: |
|
|
813 | 854 | |
|
|
814 | 855 | self.__profileIndex |
|
|
815 | 856 | |
|
|
816 | 857 | """ |
|
|
817 | 858 | |
|
|
818 | 859 | data_spc = self.__buffer_spc |
|
|
819 | 860 | data_cspc = self.__buffer_cspc |
|
|
820 | 861 | data_dc = self.__buffer_dc |
|
|
821 | 862 | n = self.__profIndex |
|
|
822 | 863 | |
|
|
823 | 864 | self.__buffer_spc = 0 |
|
|
824 | 865 | self.__buffer_cspc = 0 |
|
|
825 | 866 | self.__buffer_dc = 0 |
|
|
826 | 867 | self.__profIndex = 0 |
|
|
827 | 868 | |
|
|
828 | 869 | return data_spc, data_cspc, data_dc, n |
|
|
829 | 870 | |
|
|
830 | 871 | def byProfiles(self, *args): |
|
|
831 | 872 | |
|
|
832 | 873 | self.__dataReady = False |
|
|
833 | 874 | avgdata_spc = None |
|
|
834 | 875 | avgdata_cspc = None |
|
|
835 | 876 | avgdata_dc = None |
|
|
836 | 877 | |
|
|
837 | 878 | self.putData(*args) |
|
|
838 | 879 | |
|
|
839 | 880 | if self.__profIndex == self.n: |
|
|
840 | 881 | |
|
|
841 | 882 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
|
842 | 883 | self.n = n |
|
|
843 | 884 | self.__dataReady = True |
|
|
844 | 885 | |
|
|
845 | 886 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
|
846 | 887 | |
|
|
847 | 888 | def byTime(self, datatime, *args): |
|
|
848 | 889 | |
|
|
849 | 890 | self.__dataReady = False |
|
|
850 | 891 | avgdata_spc = None |
|
|
851 | 892 | avgdata_cspc = None |
|
|
852 | 893 | avgdata_dc = None |
|
|
853 | 894 | |
|
|
854 | 895 | self.putData(*args) |
|
|
855 | 896 | |
|
|
856 | 897 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|
857 | 898 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
|
858 | 899 | self.n = n |
|
|
859 | 900 | self.__dataReady = True |
|
|
860 | 901 | |
|
|
861 | 902 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
|
862 | 903 | |
|
|
863 | 904 | def integrate(self, datatime, *args): |
|
|
864 | 905 | |
|
|
865 | 906 | if self.__profIndex == 0: |
|
|
866 | 907 | self.__initime = datatime |
|
|
867 | 908 | |
|
|
868 | 909 | if self.__byTime: |
|
|
869 |
avgdata_spc, avgdata_cspc, avgdata_dc = self.byTime( |
|
|
|
910 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byTime( | |
|
|
911 | datatime, *args) | |
|
|
870 | 912 | else: |
|
|
871 | 913 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byProfiles(*args) |
|
|
872 | 914 | |
|
|
873 | 915 | if not self.__dataReady: |
|
|
874 | 916 | return None, None, None, None |
|
|
875 | 917 | |
|
|
876 | 918 | return self.__initime, avgdata_spc, avgdata_cspc, avgdata_dc |
|
|
877 | 919 | |
|
|
878 | 920 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False): |
|
|
879 | if n==1: | |
|
|
921 | if n == 1: | |
|
|
880 | 922 | return |
|
|
881 | 923 | |
|
|
882 | 924 | dataOut.flagNoData = True |
|
|
883 | 925 | |
|
|
884 | 926 | if not self.isConfig: |
|
|
885 | 927 | self.setup(n, timeInterval, overlapping) |
|
|
886 | 928 | self.isConfig = True |
|
|
887 | 929 | |
|
|
888 | 930 | avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc = self.integrate(dataOut.utctime, |
|
|
889 | 931 | dataOut.data_spc, |
|
|
890 | 932 | dataOut.data_cspc, |
|
|
891 | 933 | dataOut.data_dc) |
|
|
892 | 934 | |
|
|
893 | 935 | if self.__dataReady: |
|
|
894 | 936 | |
|
|
895 | 937 | dataOut.data_spc = avgdata_spc |
|
|
896 | 938 | dataOut.data_cspc = avgdata_cspc |
|
|
897 | 939 | dataOut.data_dc = avgdata_dc |
|
|
898 | 940 | |
|
|
899 | 941 | dataOut.nIncohInt *= self.n |
|
|
900 | 942 | dataOut.utctime = avgdatatime |
|
|
901 | 943 | dataOut.flagNoData = False |
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