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1 | 1 | # Byte-compiled / optimized / DLL files |
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2 | 2 | __pycache__/ |
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3 | 3 | *.py[cod] |
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4 | 4 | *$py.class |
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5 | 5 | |
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6 | 6 | # C extensions |
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7 | 7 | *.so |
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8 | 8 | |
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9 | 9 | # Distribution / packaging |
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10 | 10 | .Python |
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11 | 11 | env/ |
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12 | 12 | build/ |
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13 | 13 | develop-eggs/ |
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14 | 14 | dist/ |
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15 | 15 | downloads/ |
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16 | 16 | eggs/ |
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17 | 17 | .eggs/ |
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18 | 18 | lib/ |
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19 | 19 | lib64/ |
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20 | 20 | parts/ |
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21 | 21 | sdist/ |
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22 | 22 | var/ |
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23 | 23 | wheels/ |
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24 | 24 | *.egg-info/ |
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25 | 25 | .installed.cfg |
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26 | 26 | *.egg |
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27 | 27 | |
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28 | 28 | # PyInstaller |
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29 | 29 | # Usually these files are written by a python script from a template |
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30 | 30 | # before PyInstaller builds the exe, so as to inject date/other infos into it. |
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31 | 31 | *.manifest |
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32 | 32 | *.spec |
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33 | 33 | |
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34 | 34 | # Installer logs |
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35 | 35 | pip-log.txt |
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36 | 36 | pip-delete-this-directory.txt |
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37 | 37 | |
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38 | 38 | # Unit test / coverage reports |
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39 | 39 | htmlcov/ |
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40 | 40 | .tox/ |
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41 | 41 | .coverage |
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42 | 42 | .coverage.* |
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43 | 43 | .cache |
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44 | 44 | nosetests.xml |
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45 | 45 | coverage.xml |
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46 | 46 | *,cover |
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47 | 47 | .hypothesis/ |
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48 | 48 | |
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49 | 49 | # Translations |
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50 | 50 | *.mo |
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51 | 51 | *.pot |
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52 | 52 | |
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53 | 53 | # Django stuff: |
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54 | 54 | *.log |
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55 | 55 | local_settings.py |
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56 | 56 | |
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57 | 57 | # Flask stuff: |
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58 | 58 | instance/ |
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59 | 59 | .webassets-cache |
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60 | 60 | |
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61 | 61 | # Scrapy stuff: |
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62 | 62 | .scrapy |
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63 | 63 | |
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64 | 64 | # Sphinx documentation |
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65 | 65 | docs/_build/ |
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66 | 66 | |
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67 | 67 | # PyBuilder |
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68 | 68 | target/ |
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69 | 69 | |
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70 | 70 | # Jupyter Notebook |
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71 | 71 | .ipynb_checkpoints |
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72 | 72 | |
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73 | 73 | # pyenv |
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74 | 74 | .python-version |
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75 | 75 | |
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76 | 76 | # celery beat schedule file |
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77 | 77 | celerybeat-schedule |
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78 | 78 | |
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79 | 79 | # SageMath parsed files |
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80 | 80 | *.sage.py |
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81 | 81 | |
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82 | 82 | # dotenv |
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83 | 83 | .env |
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84 | 84 | |
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85 | 85 | # virtualenv |
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86 | 86 | .venv |
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87 | 87 | venv/ |
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88 | 88 | ENV/ |
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89 | 89 | |
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90 | 90 | # Spyder project settings |
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91 | 91 | .spyderproject |
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92 | 92 | .spyproject |
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93 | 93 | |
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94 | 94 | # Rope project settings |
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95 | 95 | .ropeproject |
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96 | 96 | |
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97 | 97 | # mkdocs documentation |
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98 | 98 | /site |
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99 | 99 | |
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100 | 100 | # eclipse |
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101 | 101 | .project |
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102 | 102 | .pydevproject |
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103 | 103 | |
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104 | # vscode | |
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105 | ||
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106 | .vscode | |
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107 | ||
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104 | 108 | schainpy/scripts/ No newline at end of file |
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1 | 1 | { |
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2 | "python.linting.pylintEnabled": true | |
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2 | "python.linting.pylintEnabled": true, | |
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3 | "git.ignoreLimitWarning": true | |
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3 | 4 | } No newline at end of file |
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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 | |
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11 | 11 | SPEED_OF_LIGHT = 299792458 |
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12 | 12 | SPEED_OF_LIGHT = 3e8 |
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13 | 13 | |
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14 | 14 | BASIC_STRUCTURE = numpy.dtype([ |
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15 | 15 | ('nSize','<u4'), |
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16 | 16 | ('nVersion','<u2'), |
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17 | 17 | ('nDataBlockId','<u4'), |
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18 | 18 | ('nUtime','<u4'), |
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19 | 19 | ('nMilsec','<u2'), |
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20 | 20 | ('nTimezone','<i2'), |
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21 | 21 | ('nDstflag','<i2'), |
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22 | 22 | ('nErrorCount','<u4') |
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23 | 23 | ]) |
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24 | 24 | |
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25 | 25 | SYSTEM_STRUCTURE = numpy.dtype([ |
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26 | 26 | ('nSize','<u4'), |
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27 | 27 | ('nNumSamples','<u4'), |
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28 | 28 | ('nNumProfiles','<u4'), |
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29 | 29 | ('nNumChannels','<u4'), |
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30 | 30 | ('nADCResolution','<u4'), |
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31 | 31 | ('nPCDIOBusWidth','<u4'), |
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32 | 32 | ]) |
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33 | 33 | |
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34 | 34 | RADAR_STRUCTURE = numpy.dtype([ |
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35 | 35 | ('nSize','<u4'), |
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36 | 36 | ('nExpType','<u4'), |
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37 | 37 | ('nNTx','<u4'), |
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38 | 38 | ('fIpp','<f4'), |
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39 | 39 | ('fTxA','<f4'), |
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40 | 40 | ('fTxB','<f4'), |
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41 | 41 | ('nNumWindows','<u4'), |
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42 | 42 | ('nNumTaus','<u4'), |
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43 | 43 | ('nCodeType','<u4'), |
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44 | 44 | ('nLine6Function','<u4'), |
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45 | 45 | ('nLine5Function','<u4'), |
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46 | 46 | ('fClock','<f4'), |
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47 | 47 | ('nPrePulseBefore','<u4'), |
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48 | 48 | ('nPrePulseAfter','<u4'), |
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49 | 49 | ('sRangeIPP','<a20'), |
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50 | 50 | ('sRangeTxA','<a20'), |
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51 | 51 | ('sRangeTxB','<a20'), |
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52 | 52 | ]) |
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53 | 53 | |
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54 | 54 | SAMPLING_STRUCTURE = numpy.dtype([('h0','<f4'),('dh','<f4'),('nsa','<u4')]) |
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55 | 55 | |
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56 | 56 | |
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57 | 57 | PROCESSING_STRUCTURE = numpy.dtype([ |
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58 | 58 | ('nSize','<u4'), |
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59 | 59 | ('nDataType','<u4'), |
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60 | 60 | ('nSizeOfDataBlock','<u4'), |
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61 | 61 | ('nProfilesperBlock','<u4'), |
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62 | 62 | ('nDataBlocksperFile','<u4'), |
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63 | 63 | ('nNumWindows','<u4'), |
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64 | 64 | ('nProcessFlags','<u4'), |
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65 | 65 | ('nCoherentIntegrations','<u4'), |
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66 | 66 | ('nIncoherentIntegrations','<u4'), |
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67 | 67 | ('nTotalSpectra','<u4') |
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68 | 68 | ]) |
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69 | 69 | |
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70 | 70 | class Header(object): |
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71 | 71 | |
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72 | 72 | def __init__(self): |
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73 | 73 | raise NotImplementedError |
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74 | 74 | |
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75 | 75 | def copy(self): |
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76 | 76 | return copy.deepcopy(self) |
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77 | 77 | |
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78 | 78 | def read(self): |
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79 | 79 | |
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80 | 80 | raise NotImplementedError |
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81 | 81 | |
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82 | 82 | def write(self): |
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83 | 83 | |
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84 | 84 | raise NotImplementedError |
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85 | 85 | |
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86 | 86 | def printInfo(self): |
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87 | 87 | |
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88 | 88 | message = "#"*50 + "\n" |
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89 | 89 | message += self.__class__.__name__.upper() + "\n" |
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90 | 90 | message += "#"*50 + "\n" |
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91 | 91 | |
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92 | 92 | keyList = self.__dict__.keys() |
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93 | 93 | keyList.sort() |
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94 | 94 | |
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95 | 95 | for key in keyList: |
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96 | 96 | message += "%s = %s" %(key, self.__dict__[key]) + "\n" |
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97 | 97 | |
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98 | 98 | if "size" not in keyList: |
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99 | 99 | attr = getattr(self, "size") |
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100 | 100 | |
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101 | 101 | if attr: |
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102 | 102 | message += "%s = %s" %("size", attr) + "\n" |
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103 | 103 | |
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104 | 104 | print message |
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105 | 105 | |
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106 | 106 | class BasicHeader(Header): |
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107 | 107 | |
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108 | 108 | size = None |
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109 | 109 | version = None |
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110 | 110 | dataBlock = None |
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111 | 111 | utc = None |
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112 | 112 | ltc = None |
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113 | 113 | miliSecond = None |
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114 | 114 | timeZone = None |
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115 | 115 | dstFlag = None |
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116 | 116 | errorCount = None |
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117 | 117 | datatime = None |
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118 | 118 | __LOCALTIME = None |
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119 | 119 | |
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120 | 120 | def __init__(self, useLocalTime=True): |
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121 | 121 | |
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122 | 122 | self.size = 24 |
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123 | 123 | self.version = 0 |
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124 | 124 | self.dataBlock = 0 |
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125 | 125 | self.utc = 0 |
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126 | 126 | self.miliSecond = 0 |
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127 | 127 | self.timeZone = 0 |
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128 | 128 | self.dstFlag = 0 |
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129 | 129 | self.errorCount = 0 |
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130 | 130 | |
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131 | 131 | self.useLocalTime = useLocalTime |
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132 | 132 | |
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133 | 133 | def read(self, fp): |
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134 | 134 | |
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135 | self.length = 0 | |
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135 | 136 | try: |
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136 | 137 | if hasattr(fp, 'read'): |
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137 | print 'fromfile' | |
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138 | 138 | header = numpy.fromfile(fp, BASIC_STRUCTURE,1) |
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139 | 139 | else: |
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140 | print 'fromstring' | |
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141 | 140 | header = numpy.fromstring(fp, BASIC_STRUCTURE,1) |
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142 | 141 | except Exception, e: |
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143 | 142 | print "BasicHeader: " |
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144 | 143 | print e |
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145 | 144 | return 0 |
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146 | ||
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145 | ||
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147 | 146 | self.size = int(header['nSize'][0]) |
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148 | 147 | self.version = int(header['nVersion'][0]) |
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149 | 148 | self.dataBlock = int(header['nDataBlockId'][0]) |
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150 | 149 | self.utc = int(header['nUtime'][0]) |
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151 | 150 | self.miliSecond = int(header['nMilsec'][0]) |
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152 | 151 | self.timeZone = int(header['nTimezone'][0]) |
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153 | 152 | self.dstFlag = int(header['nDstflag'][0]) |
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154 | 153 | self.errorCount = int(header['nErrorCount'][0]) |
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155 | 154 | |
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156 | 155 | if self.size < 24: |
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157 | 156 | return 0 |
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158 | ||
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157 | ||
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158 | self.length = header.nbytes | |
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159 | 159 | return 1 |
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160 | 160 | |
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161 | 161 | def write(self, fp): |
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162 | 162 | |
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163 | 163 | headerTuple = (self.size,self.version,self.dataBlock,self.utc,self.miliSecond,self.timeZone,self.dstFlag,self.errorCount) |
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164 | 164 | header = numpy.array(headerTuple, BASIC_STRUCTURE) |
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165 | 165 | header.tofile(fp) |
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166 | 166 | |
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167 | 167 | return 1 |
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168 | 168 | |
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169 | 169 | def get_ltc(self): |
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170 | 170 | |
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171 | 171 | return self.utc - self.timeZone*60 |
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172 | 172 | |
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173 | 173 | def set_ltc(self, value): |
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174 | 174 | |
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175 | 175 | self.utc = value + self.timeZone*60 |
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176 | 176 | |
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177 | 177 | def get_datatime(self): |
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178 | 178 | |
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179 | 179 | return datetime.datetime.utcfromtimestamp(self.ltc) |
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180 | 180 | |
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181 | 181 | ltc = property(get_ltc, set_ltc) |
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182 | 182 | datatime = property(get_datatime) |
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183 | 183 | |
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184 | 184 | class SystemHeader(Header): |
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185 | 185 | |
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186 | 186 | size = None |
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187 | 187 | nSamples = None |
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188 | 188 | nProfiles = None |
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189 | 189 | nChannels = None |
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190 | 190 | adcResolution = None |
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191 | 191 | pciDioBusWidth = None |
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192 | 192 | |
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193 | 193 | def __init__(self, nSamples=0, nProfiles=0, nChannels=0, adcResolution=14, pciDioBusWith=0): |
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194 | 194 | |
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195 | 195 | self.size = 24 |
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196 | 196 | self.nSamples = nSamples |
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197 | 197 | self.nProfiles = nProfiles |
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198 | 198 | self.nChannels = nChannels |
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199 | 199 | self.adcResolution = adcResolution |
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200 | 200 | self.pciDioBusWidth = pciDioBusWith |
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201 | 201 | |
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202 | 202 | def read(self, fp): |
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203 | ||
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204 | startFp = fp.tell() | |
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205 | ||
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203 | self.length = 0 | |
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206 | 204 | try: |
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207 | header = numpy.fromfile(fp,SYSTEM_STRUCTURE,1) | |
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205 | startFp = fp.tell() | |
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208 | 206 | except Exception, e: |
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209 | print "System Header: " + e | |
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207 | startFp = None | |
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208 | pass | |
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209 | ||
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210 | try: | |
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211 | if hasattr(fp, 'read'): | |
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212 | header = numpy.fromfile(fp, SYSTEM_STRUCTURE,1) | |
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213 | else: | |
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214 | header = numpy.fromstring(fp, SYSTEM_STRUCTURE,1) | |
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215 | except Exception, e: | |
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216 | print "System Header: " + str(e) | |
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210 | 217 | return 0 |
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211 | 218 | |
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212 | 219 | self.size = header['nSize'][0] |
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213 | 220 | self.nSamples = header['nNumSamples'][0] |
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214 | 221 | self.nProfiles = header['nNumProfiles'][0] |
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215 | 222 | self.nChannels = header['nNumChannels'][0] |
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216 | 223 | self.adcResolution = header['nADCResolution'][0] |
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217 | 224 | self.pciDioBusWidth = header['nPCDIOBusWidth'][0] |
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218 | 225 | |
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219 | endFp = self.size + startFp | |
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220 | 226 | |
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221 | if fp.tell() > endFp: | |
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222 | 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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223 | return 0 | |
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227 | if startFp is not None: | |
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228 | endFp = self.size + startFp | |
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224 | 229 | |
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225 |
if fp.tell() |
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226 |
sys.stderr.write("Warning %s: Size value read from System Header |
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227 | return 0 | |
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230 | if fp.tell() > endFp: | |
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231 | 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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232 | return 0 | |
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233 | ||
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234 | if fp.tell() < endFp: | |
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235 | 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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236 | return 0 | |
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228 | 237 | |
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238 | self.length = header.nbytes | |
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229 | 239 | return 1 |
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230 | 240 | |
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231 | 241 | def write(self, fp): |
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232 | 242 | |
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233 | 243 | headerTuple = (self.size,self.nSamples,self.nProfiles,self.nChannels,self.adcResolution,self.pciDioBusWidth) |
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234 | 244 | header = numpy.array(headerTuple,SYSTEM_STRUCTURE) |
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235 | 245 | header.tofile(fp) |
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236 | 246 | |
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237 | 247 | return 1 |
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238 | 248 | |
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239 | 249 | class RadarControllerHeader(Header): |
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240 | 250 | |
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241 | 251 | expType = None |
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242 | 252 | nTx = None |
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243 | 253 | ipp = None |
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244 | 254 | txA = None |
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245 | 255 | txB = None |
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246 | 256 | nWindows = None |
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247 | 257 | numTaus = None |
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248 | 258 | codeType = None |
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249 | 259 | line6Function = None |
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250 | 260 | line5Function = None |
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251 | 261 | fClock = None |
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252 | 262 | prePulseBefore = None |
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253 | 263 | prePulserAfter = None |
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254 | 264 | rangeIpp = None |
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255 | 265 | rangeTxA = None |
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256 | 266 | rangeTxB = None |
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257 | 267 | |
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258 | 268 | __size = None |
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259 | 269 | |
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260 | 270 | def __init__(self, expType=2, nTx=1, |
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261 | 271 | ippKm=None, txA=0, txB=0, |
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262 | 272 | nWindows=None, nHeights=None, firstHeight=None, deltaHeight=None, |
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263 | 273 | numTaus=0, line6Function=0, line5Function=0, fClock=None, |
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264 | 274 | prePulseBefore=0, prePulseAfter=0, |
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265 | 275 | codeType=0, nCode=0, nBaud=0, code=None, |
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266 | 276 | flip1=0, flip2=0): |
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267 | 277 | |
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268 | 278 | # self.size = 116 |
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269 | 279 | self.expType = expType |
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270 | 280 | self.nTx = nTx |
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271 | 281 | self.ipp = ippKm |
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272 | 282 | self.txA = txA |
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273 | 283 | self.txB = txB |
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274 | 284 | self.rangeIpp = ippKm |
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275 | 285 | self.rangeTxA = txA |
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276 | 286 | self.rangeTxB = txB |
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277 | 287 | |
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278 | 288 | self.nWindows = nWindows |
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279 | 289 | self.numTaus = numTaus |
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280 | 290 | self.codeType = codeType |
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281 | 291 | self.line6Function = line6Function |
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282 | 292 | self.line5Function = line5Function |
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283 | 293 | self.fClock = fClock |
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284 | 294 | self.prePulseBefore = prePulseBefore |
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285 | 295 | self.prePulserAfter = prePulseAfter |
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286 | 296 | |
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287 | 297 | self.nHeights = nHeights |
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288 | 298 | self.firstHeight = firstHeight |
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289 | 299 | self.deltaHeight = deltaHeight |
|
|
290 | 300 | self.samplesWin = nHeights |
|
|
291 | 301 | |
|
|
292 | 302 | self.nCode = nCode |
|
|
293 | 303 | self.nBaud = nBaud |
|
|
294 | 304 | self.code = code |
|
|
295 | 305 | self.flip1 = flip1 |
|
|
296 | 306 | self.flip2 = flip2 |
|
|
297 | 307 | |
|
|
298 | 308 | self.code_size = int(numpy.ceil(self.nBaud/32.))*self.nCode*4 |
|
|
299 | 309 | # self.dynamic = numpy.array([],numpy.dtype('byte')) |
|
|
300 | 310 | |
|
|
301 | 311 | if self.fClock is None and self.deltaHeight is not None: |
|
|
302 | 312 | self.fClock = 0.15/(deltaHeight*1e-6) #0.15Km / (height * 1u) |
|
|
303 | 313 | |
|
|
304 | 314 | def read(self, fp): |
|
|
305 | ||
|
|
306 | ||
|
|
307 | startFp = fp.tell() | |
|
|
315 | self.length = 0 | |
|
|
308 | 316 | try: |
|
|
309 | header = numpy.fromfile(fp,RADAR_STRUCTURE,1) | |
|
|
317 | startFp = fp.tell() | |
|
|
310 | 318 | except Exception, e: |
|
|
311 | print "RadarControllerHeader: " + e | |
|
|
319 | startFp = None | |
|
|
320 | pass | |
|
|
321 | ||
|
|
322 | try: | |
|
|
323 | if hasattr(fp, 'read'): | |
|
|
324 | header = numpy.fromfile(fp, RADAR_STRUCTURE,1) | |
|
|
325 | else: | |
|
|
326 | header = numpy.fromstring(fp, RADAR_STRUCTURE,1) | |
|
|
327 | self.length += header.nbytes | |
|
|
328 | except Exception, e: | |
|
|
329 | print "RadarControllerHeader: " + str(e) | |
|
|
312 | 330 | return 0 |
|
|
313 | 331 | |
|
|
314 | 332 | size = int(header['nSize'][0]) |
|
|
315 | 333 | self.expType = int(header['nExpType'][0]) |
|
|
316 | 334 | self.nTx = int(header['nNTx'][0]) |
|
|
317 | 335 | self.ipp = float(header['fIpp'][0]) |
|
|
318 | 336 | self.txA = float(header['fTxA'][0]) |
|
|
319 | 337 | self.txB = float(header['fTxB'][0]) |
|
|
320 | 338 | self.nWindows = int(header['nNumWindows'][0]) |
|
|
321 | 339 | self.numTaus = int(header['nNumTaus'][0]) |
|
|
322 | 340 | self.codeType = int(header['nCodeType'][0]) |
|
|
323 | 341 | self.line6Function = int(header['nLine6Function'][0]) |
|
|
324 | 342 | self.line5Function = int(header['nLine5Function'][0]) |
|
|
325 | 343 | self.fClock = float(header['fClock'][0]) |
|
|
326 | 344 | self.prePulseBefore = int(header['nPrePulseBefore'][0]) |
|
|
327 | 345 | self.prePulserAfter = int(header['nPrePulseAfter'][0]) |
|
|
328 | 346 | self.rangeIpp = header['sRangeIPP'][0] |
|
|
329 | 347 | self.rangeTxA = header['sRangeTxA'][0] |
|
|
330 | 348 | self.rangeTxB = header['sRangeTxB'][0] |
|
|
331 | 349 | |
|
|
332 | samplingWindow = numpy.fromfile(fp,SAMPLING_STRUCTURE,self.nWindows) | |
|
|
333 | ||
|
|
350 | try: | |
|
|
351 | if hasattr(fp, 'read'): | |
|
|
352 | samplingWindow = numpy.fromfile(fp, SAMPLING_STRUCTURE, self.nWindows) | |
|
|
353 | else: | |
|
|
354 | samplingWindow = numpy.fromstring(fp[self.length:], SAMPLING_STRUCTURE, self.nWindows) | |
|
|
355 | self.length += samplingWindow.nbytes | |
|
|
356 | except Exception, e: | |
|
|
357 | print "RadarControllerHeader: " + str(e) | |
|
|
358 | return 0 | |
|
|
334 | 359 | self.nHeights = int(numpy.sum(samplingWindow['nsa'])) |
|
|
335 | 360 | self.firstHeight = samplingWindow['h0'] |
|
|
336 | 361 | self.deltaHeight = samplingWindow['dh'] |
|
|
337 | 362 | self.samplesWin = samplingWindow['nsa'] |
|
|
363 | ||
|
|
364 | ||
|
|
365 | ||
|
|
366 | try: | |
|
|
367 | if hasattr(fp, 'read'): | |
|
|
368 | self.Taus = numpy.fromfile(fp, '<f4', self.numTaus) | |
|
|
369 | else: | |
|
|
370 | self.Taus = numpy.fromstring(fp[self.length:], '<f4', self.numTaus) | |
|
|
371 | self.length += self.Taus.nbytes | |
|
|
372 | except Exception, e: | |
|
|
373 | print "RadarControllerHeader: " + str(e) | |
|
|
374 | return 0 | |
|
|
375 | ||
|
|
338 | 376 | |
|
|
339 | self.Taus = numpy.fromfile(fp,'<f4',self.numTaus) | |
|
|
340 | 377 | |
|
|
341 | 378 | self.code_size = 0 |
|
|
342 | 379 | if self.codeType != 0: |
|
|
343 | self.nCode = int(numpy.fromfile(fp,'<u4',1)) | |
|
|
344 | self.nBaud = int(numpy.fromfile(fp,'<u4',1)) | |
|
|
345 | 380 | |
|
|
381 | try: | |
|
|
382 | if hasattr(fp, 'read'): | |
|
|
383 | self.nCode = numpy.fromfile(fp, '<u4', 1) | |
|
|
384 | self.length += self.nCode.nbytes | |
|
|
385 | self.nBaud = numpy.fromfile(fp, '<u4', 1) | |
|
|
386 | self.length += self.nBaud.nbytes | |
|
|
387 | else: | |
|
|
388 | self.nCode = numpy.fromstring(fp[self.length:], '<u4', 1)[0] | |
|
|
389 | self.length += self.nCode.nbytes | |
|
|
390 | self.nBaud = numpy.fromstring(fp[self.length:], '<u4', 1)[0] | |
|
|
391 | self.length += self.nBaud.nbytes | |
|
|
392 | except Exception, e: | |
|
|
393 | print "RadarControllerHeader: " + str(e) | |
|
|
394 | return 0 | |
|
|
346 | 395 | code = numpy.empty([self.nCode,self.nBaud],dtype='i1') |
|
|
396 | ||
|
|
347 | 397 | for ic in range(self.nCode): |
|
|
348 | temp = numpy.fromfile(fp,'u4',int(numpy.ceil(self.nBaud/32.))) | |
|
|
398 | try: | |
|
|
399 | if hasattr(fp, 'read'): | |
|
|
400 | temp = numpy.fromfile(fp,'u4', int(numpy.ceil(self.nBaud/32.))) | |
|
|
401 | else: | |
|
|
402 | temp = numpy.fromstring(fp,'u4', int(numpy.ceil(self.nBaud/32.))) | |
|
|
403 | self.length += temp.nbytes | |
|
|
404 | except Exception, e: | |
|
|
405 | print "RadarControllerHeader: " + str(e) | |
|
|
406 | return 0 | |
|
|
407 | ||
|
|
349 | 408 | for ib in range(self.nBaud-1,-1,-1): |
|
|
350 | 409 | code[ic,ib] = temp[ib/32]%2 |
|
|
351 | 410 | temp[ib/32] = temp[ib/32]/2 |
|
|
352 | 411 | |
|
|
353 | 412 | self.code = 2.0*code - 1.0 |
|
|
354 | 413 | self.code_size = int(numpy.ceil(self.nBaud/32.))*self.nCode*4 |
|
|
355 | 414 | |
|
|
356 | 415 | # if self.line5Function == RCfunction.FLIP: |
|
|
357 | 416 | # self.flip1 = numpy.fromfile(fp,'<u4',1) |
|
|
358 | 417 | # |
|
|
359 | 418 | # if self.line6Function == RCfunction.FLIP: |
|
|
360 | 419 | # self.flip2 = numpy.fromfile(fp,'<u4',1) |
|
|
361 | ||
|
|
362 | endFp = size + startFp | |
|
|
363 | ||
|
|
364 | if fp.tell() != endFp: | |
|
|
365 | # fp.seek(endFp) | |
|
|
366 | print "%s: Radar Controller Header size is not consistent: from data [%d] != from header field [%d]" %(fp.name, fp.tell()-startFp, size) | |
|
|
367 | # return 0 | |
|
|
368 | ||
|
|
369 | if fp.tell() > endFp: | |
|
|
370 | sys.stderr.write("Warning %s: Size value read from Radar Controller header is lower than it has to be\n" %fp.name) | |
|
|
371 | # return 0 | |
|
|
372 | ||
|
|
373 | if fp.tell() < endFp: | |
|
|
374 | sys.stderr.write("Warning %s: Size value read from Radar Controller header is greater than it has to be\n" %fp.name) | |
|
|
420 | if startFp is not None: | |
|
|
421 | endFp = size + startFp | |
|
|
375 | 422 | |
|
|
423 | if fp.tell() != endFp: | |
|
|
424 | # fp.seek(endFp) | |
|
|
425 | print "%s: Radar Controller Header size is not consistent: from data [%d] != from header field [%d]" %(fp.name, fp.tell()-startFp, size) | |
|
|
426 | # return 0 | |
|
|
427 | ||
|
|
428 | if fp.tell() > endFp: | |
|
|
429 | sys.stderr.write("Warning %s: Size value read from Radar Controller header is lower than it has to be\n" %fp.name) | |
|
|
430 | # return 0 | |
|
|
431 | ||
|
|
432 | if fp.tell() < endFp: | |
|
|
433 | sys.stderr.write("Warning %s: Size value read from Radar Controller header is greater than it has to be\n" %fp.name) | |
|
|
376 | 434 | |
|
|
435 | ||
|
|
377 | 436 | return 1 |
|
|
378 | 437 | |
|
|
379 | 438 | def write(self, fp): |
|
|
380 | 439 | |
|
|
381 | 440 | headerTuple = (self.size, |
|
|
382 | 441 | self.expType, |
|
|
383 | 442 | self.nTx, |
|
|
384 | 443 | self.ipp, |
|
|
385 | 444 | self.txA, |
|
|
386 | 445 | self.txB, |
|
|
387 | 446 | self.nWindows, |
|
|
388 | 447 | self.numTaus, |
|
|
389 | 448 | self.codeType, |
|
|
390 | 449 | self.line6Function, |
|
|
391 | 450 | self.line5Function, |
|
|
392 | 451 | self.fClock, |
|
|
393 | 452 | self.prePulseBefore, |
|
|
394 | 453 | self.prePulserAfter, |
|
|
395 | 454 | self.rangeIpp, |
|
|
396 | 455 | self.rangeTxA, |
|
|
397 | 456 | self.rangeTxB) |
|
|
398 | 457 | |
|
|
399 | 458 | header = numpy.array(headerTuple,RADAR_STRUCTURE) |
|
|
400 | 459 | header.tofile(fp) |
|
|
401 | 460 | |
|
|
402 | 461 | sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin) |
|
|
403 | 462 | samplingWindow = numpy.array(sampleWindowTuple,SAMPLING_STRUCTURE) |
|
|
404 | 463 | samplingWindow.tofile(fp) |
|
|
405 | 464 | |
|
|
406 | 465 | if self.numTaus > 0: |
|
|
407 | 466 | self.Taus.tofile(fp) |
|
|
408 | 467 | |
|
|
409 | 468 | if self.codeType !=0: |
|
|
410 | 469 | nCode = numpy.array(self.nCode, '<u4') |
|
|
411 | 470 | nCode.tofile(fp) |
|
|
412 | 471 | nBaud = numpy.array(self.nBaud, '<u4') |
|
|
413 | 472 | nBaud.tofile(fp) |
|
|
414 | 473 | code1 = (self.code + 1.0)/2. |
|
|
415 | 474 | |
|
|
416 | 475 | for ic in range(self.nCode): |
|
|
417 | 476 | tempx = numpy.zeros(numpy.ceil(self.nBaud/32.)) |
|
|
418 | 477 | start = 0 |
|
|
419 | 478 | end = 32 |
|
|
420 | 479 | for i in range(len(tempx)): |
|
|
421 | 480 | code_selected = code1[ic,start:end] |
|
|
422 | 481 | for j in range(len(code_selected)-1,-1,-1): |
|
|
423 | 482 | if code_selected[j] == 1: |
|
|
424 | 483 | tempx[i] = tempx[i] + 2**(len(code_selected)-1-j) |
|
|
425 | 484 | start = start + 32 |
|
|
426 | 485 | end = end + 32 |
|
|
427 | 486 | |
|
|
428 | 487 | tempx = tempx.astype('u4') |
|
|
429 | 488 | tempx.tofile(fp) |
|
|
430 | 489 | |
|
|
431 | 490 | # if self.line5Function == RCfunction.FLIP: |
|
|
432 | 491 | # self.flip1.tofile(fp) |
|
|
433 | 492 | # |
|
|
434 | 493 | # if self.line6Function == RCfunction.FLIP: |
|
|
435 | 494 | # self.flip2.tofile(fp) |
|
|
436 | 495 | |
|
|
437 | 496 | return 1 |
|
|
438 | 497 | |
|
|
439 | 498 | def get_ippSeconds(self): |
|
|
440 | 499 | ''' |
|
|
441 | 500 | ''' |
|
|
442 | 501 | ippSeconds = 2.0 * 1000 * self.ipp / SPEED_OF_LIGHT |
|
|
443 | 502 | |
|
|
444 | 503 | return ippSeconds |
|
|
445 | 504 | |
|
|
446 | 505 | def set_ippSeconds(self, ippSeconds): |
|
|
447 | 506 | ''' |
|
|
448 | 507 | ''' |
|
|
449 | 508 | |
|
|
450 | 509 | self.ipp = ippSeconds * SPEED_OF_LIGHT / (2.0*1000) |
|
|
451 | 510 | |
|
|
452 | 511 | return |
|
|
453 | 512 | |
|
|
454 | 513 | def get_size(self): |
|
|
455 | 514 | |
|
|
456 | 515 | self.__size = 116 + 12*self.nWindows + 4*self.numTaus |
|
|
457 | 516 | |
|
|
458 | 517 | if self.codeType != 0: |
|
|
459 | 518 | self.__size += 4 + 4 + 4*self.nCode*numpy.ceil(self.nBaud/32.) |
|
|
460 | 519 | |
|
|
461 | 520 | return self.__size |
|
|
462 | 521 | |
|
|
463 | 522 | def set_size(self, value): |
|
|
464 | 523 | |
|
|
465 | 524 | raise IOError, "size is a property and it cannot be set, just read" |
|
|
466 | 525 | |
|
|
467 | 526 | return |
|
|
468 | 527 | |
|
|
469 | 528 | ippSeconds = property(get_ippSeconds, set_ippSeconds) |
|
|
470 | 529 | size = property(get_size, set_size) |
|
|
471 | 530 | |
|
|
472 | 531 | class ProcessingHeader(Header): |
|
|
473 | 532 | |
|
|
474 | 533 | # size = None |
|
|
475 | 534 | dtype = None |
|
|
476 | 535 | blockSize = None |
|
|
477 | 536 | profilesPerBlock = None |
|
|
478 | 537 | dataBlocksPerFile = None |
|
|
479 | 538 | nWindows = None |
|
|
480 | 539 | processFlags = None |
|
|
481 | 540 | nCohInt = None |
|
|
482 | 541 | nIncohInt = None |
|
|
483 | 542 | totalSpectra = None |
|
|
484 | 543 | |
|
|
485 | 544 | flag_dc = None |
|
|
486 | 545 | flag_cspc = None |
|
|
487 | 546 | |
|
|
488 | 547 | def __init__(self): |
|
|
489 | 548 | |
|
|
490 | 549 | # self.size = 0 |
|
|
491 | 550 | self.dtype = 0 |
|
|
492 | 551 | self.blockSize = 0 |
|
|
493 | 552 | self.profilesPerBlock = 0 |
|
|
494 | 553 | self.dataBlocksPerFile = 0 |
|
|
495 | 554 | self.nWindows = 0 |
|
|
496 | 555 | self.processFlags = 0 |
|
|
497 | 556 | self.nCohInt = 0 |
|
|
498 | 557 | self.nIncohInt = 0 |
|
|
499 | 558 | self.totalSpectra = 0 |
|
|
500 | 559 | |
|
|
501 | 560 | self.nHeights = 0 |
|
|
502 | 561 | self.firstHeight = 0 |
|
|
503 | 562 | self.deltaHeight = 0 |
|
|
504 | 563 | self.samplesWin = 0 |
|
|
505 | 564 | self.spectraComb = 0 |
|
|
506 | 565 | self.nCode = None |
|
|
507 | 566 | self.code = None |
|
|
508 | 567 | self.nBaud = None |
|
|
509 | 568 | |
|
|
510 | 569 | self.shif_fft = False |
|
|
511 | 570 | self.flag_dc = False |
|
|
512 | 571 | self.flag_cspc = False |
|
|
513 | 572 | self.flag_decode = False |
|
|
514 | 573 | self.flag_deflip = False |
|
|
515 | ||
|
|
574 | self.length = 0 | |
|
|
516 | 575 | def read(self, fp): |
|
|
517 | ||
|
|
518 | startFp = fp.tell() | |
|
|
576 | self.length = 0 | |
|
|
577 | try: | |
|
|
578 | startFp = fp.tell() | |
|
|
579 | except Exception, e: | |
|
|
580 | startFp = None | |
|
|
581 | pass | |
|
|
519 | 582 | |
|
|
520 | 583 | try: |
|
|
521 | header = numpy.fromfile(fp,PROCESSING_STRUCTURE,1) | |
|
|
584 | if hasattr(fp, 'read'): | |
|
|
585 | header = numpy.fromfile(fp, PROCESSING_STRUCTURE, 1) | |
|
|
586 | else: | |
|
|
587 | header = numpy.fromstring(fp, PROCESSING_STRUCTURE, 1) | |
|
|
588 | self.length += header.nbytes | |
|
|
522 | 589 | except Exception, e: |
|
|
523 | print "ProcessingHeader: " + e | |
|
|
590 | print "ProcessingHeader: " + str(e) | |
|
|
524 | 591 | return 0 |
|
|
525 | 592 | |
|
|
526 | 593 | size = int(header['nSize'][0]) |
|
|
527 | 594 | self.dtype = int(header['nDataType'][0]) |
|
|
528 | 595 | self.blockSize = int(header['nSizeOfDataBlock'][0]) |
|
|
529 | 596 | self.profilesPerBlock = int(header['nProfilesperBlock'][0]) |
|
|
530 | 597 | self.dataBlocksPerFile = int(header['nDataBlocksperFile'][0]) |
|
|
531 | 598 | self.nWindows = int(header['nNumWindows'][0]) |
|
|
532 | 599 | self.processFlags = header['nProcessFlags'] |
|
|
533 | 600 | self.nCohInt = int(header['nCoherentIntegrations'][0]) |
|
|
534 | 601 | self.nIncohInt = int(header['nIncoherentIntegrations'][0]) |
|
|
535 | 602 | self.totalSpectra = int(header['nTotalSpectra'][0]) |
|
|
536 | 603 | |
|
|
537 | samplingWindow = numpy.fromfile(fp,SAMPLING_STRUCTURE,self.nWindows) | |
|
|
604 | try: | |
|
|
605 | if hasattr(fp, 'read'): | |
|
|
606 | samplingWindow = numpy.fromfile(fp, SAMPLING_STRUCTURE, self.nWindows) | |
|
|
607 | else: | |
|
|
608 | samplingWindow = numpy.fromstring(fp[self.length:], SAMPLING_STRUCTURE, self.nWindows) | |
|
|
609 | self.length += samplingWindow.nbytes | |
|
|
610 | except Exception, e: | |
|
|
611 | print "ProcessingHeader: " + str(e) | |
|
|
612 | return 0 | |
|
|
538 | 613 | |
|
|
539 | 614 | self.nHeights = int(numpy.sum(samplingWindow['nsa'])) |
|
|
540 | 615 | self.firstHeight = float(samplingWindow['h0'][0]) |
|
|
541 | 616 | self.deltaHeight = float(samplingWindow['dh'][0]) |
|
|
542 | 617 | self.samplesWin = samplingWindow['nsa'][0] |
|
|
543 | 618 | |
|
|
544 | self.spectraComb = numpy.fromfile(fp,'u1',2*self.totalSpectra) | |
|
|
619 | ||
|
|
620 | try: | |
|
|
621 | if hasattr(fp, 'read'): | |
|
|
622 | self.spectraComb = numpy.fromfile(fp, 'u1', 2*self.totalSpectra) | |
|
|
623 | else: | |
|
|
624 | self.spectraComb = numpy.fromstring(fp[self.length:], 'u1', 2*self.totalSpectra) | |
|
|
625 | self.length += self.spectraComb.nbytes | |
|
|
626 | except Exception, e: | |
|
|
627 | print "ProcessingHeader: " + str(e) | |
|
|
628 | return 0 | |
|
|
545 | 629 | |
|
|
546 | 630 | if ((self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE) == PROCFLAG.DEFINE_PROCESS_CODE): |
|
|
547 | 631 | self.nCode = int(numpy.fromfile(fp,'<u4',1)) |
|
|
548 | 632 | self.nBaud = int(numpy.fromfile(fp,'<u4',1)) |
|
|
549 | 633 | self.code = numpy.fromfile(fp,'<f4',self.nCode*self.nBaud).reshape(self.nCode,self.nBaud) |
|
|
550 | 634 | |
|
|
551 | 635 | if ((self.processFlags & PROCFLAG.EXP_NAME_ESP) == PROCFLAG.EXP_NAME_ESP): |
|
|
552 | 636 | exp_name_len = int(numpy.fromfile(fp,'<u4',1)) |
|
|
553 | 637 | exp_name = numpy.fromfile(fp,'u1',exp_name_len+1) |
|
|
554 | 638 | |
|
|
555 | 639 | if ((self.processFlags & PROCFLAG.SHIFT_FFT_DATA) == PROCFLAG.SHIFT_FFT_DATA): |
|
|
556 | 640 | self.shif_fft = True |
|
|
557 | 641 | else: |
|
|
558 | 642 | self.shif_fft = False |
|
|
559 | 643 | |
|
|
560 | 644 | if ((self.processFlags & PROCFLAG.SAVE_CHANNELS_DC) == PROCFLAG.SAVE_CHANNELS_DC): |
|
|
561 | 645 | self.flag_dc = True |
|
|
562 | 646 | else: |
|
|
563 | 647 | self.flag_dc = False |
|
|
564 | 648 | |
|
|
565 | 649 | if ((self.processFlags & PROCFLAG.DECODE_DATA) == PROCFLAG.DECODE_DATA): |
|
|
566 | 650 | self.flag_decode = True |
|
|
567 | 651 | else: |
|
|
568 | 652 | self.flag_decode = False |
|
|
569 | 653 | |
|
|
570 | 654 | if ((self.processFlags & PROCFLAG.DEFLIP_DATA) == PROCFLAG.DEFLIP_DATA): |
|
|
571 | 655 | self.flag_deflip = True |
|
|
572 | 656 | else: |
|
|
573 | 657 | self.flag_deflip = False |
|
|
574 | 658 | |
|
|
575 | 659 | nChannels = 0 |
|
|
576 | 660 | nPairs = 0 |
|
|
577 | 661 | pairList = [] |
|
|
578 | 662 | |
|
|
579 | 663 | for i in range( 0, self.totalSpectra*2, 2 ): |
|
|
580 | 664 | if self.spectraComb[i] == self.spectraComb[i+1]: |
|
|
581 | 665 | nChannels = nChannels + 1 #par de canales iguales |
|
|
582 | 666 | else: |
|
|
583 | 667 | nPairs = nPairs + 1 #par de canales diferentes |
|
|
584 | 668 | pairList.append( (self.spectraComb[i], self.spectraComb[i+1]) ) |
|
|
585 | 669 | |
|
|
586 | 670 | self.flag_cspc = False |
|
|
587 | 671 | if nPairs > 0: |
|
|
588 | 672 | self.flag_cspc = True |
|
|
589 | 673 | |
|
|
590 | endFp = size + startFp | |
|
|
591 | 674 | |
|
|
592 | if fp.tell() > endFp: | |
|
|
593 | sys.stderr.write("Warning: Processing header size is lower than it has to be") | |
|
|
594 | return 0 | |
|
|
595 | ||
|
|
596 | if fp.tell() < endFp: | |
|
|
597 | sys.stderr.write("Warning: Processing header size is greater than it is considered") | |
|
|
675 | ||
|
|
676 | if startFp is not None: | |
|
|
677 | endFp = size + startFp | |
|
|
678 | if fp.tell() > endFp: | |
|
|
679 | sys.stderr.write("Warning: Processing header size is lower than it has to be") | |
|
|
680 | return 0 | |
|
|
681 | ||
|
|
682 | if fp.tell() < endFp: | |
|
|
683 | sys.stderr.write("Warning: Processing header size is greater than it is considered") | |
|
|
598 | 684 | |
|
|
599 | 685 | return 1 |
|
|
600 | 686 | |
|
|
601 | 687 | def write(self, fp): |
|
|
602 | 688 | #Clear DEFINE_PROCESS_CODE |
|
|
603 | 689 | self.processFlags = self.processFlags & (~PROCFLAG.DEFINE_PROCESS_CODE) |
|
|
604 | 690 | |
|
|
605 | 691 | headerTuple = (self.size, |
|
|
606 | 692 | self.dtype, |
|
|
607 | 693 | self.blockSize, |
|
|
608 | 694 | self.profilesPerBlock, |
|
|
609 | 695 | self.dataBlocksPerFile, |
|
|
610 | 696 | self.nWindows, |
|
|
611 | 697 | self.processFlags, |
|
|
612 | 698 | self.nCohInt, |
|
|
613 | 699 | self.nIncohInt, |
|
|
614 | 700 | self.totalSpectra) |
|
|
615 | 701 | |
|
|
616 | 702 | header = numpy.array(headerTuple,PROCESSING_STRUCTURE) |
|
|
617 | 703 | header.tofile(fp) |
|
|
618 | 704 | |
|
|
619 | 705 | if self.nWindows != 0: |
|
|
620 | 706 | sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin) |
|
|
621 | 707 | samplingWindow = numpy.array(sampleWindowTuple,SAMPLING_STRUCTURE) |
|
|
622 | 708 | samplingWindow.tofile(fp) |
|
|
623 | 709 | |
|
|
624 | 710 | if self.totalSpectra != 0: |
|
|
625 | 711 | # spectraComb = numpy.array([],numpy.dtype('u1')) |
|
|
626 | 712 | spectraComb = self.spectraComb |
|
|
627 | 713 | spectraComb.tofile(fp) |
|
|
628 | 714 | |
|
|
629 | 715 | # if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE: |
|
|
630 | 716 | # nCode = numpy.array([self.nCode], numpy.dtype('u4')) #Probar con un dato que almacene codigo, hasta el momento no se hizo la prueba |
|
|
631 | 717 | # nCode.tofile(fp) |
|
|
632 | 718 | # |
|
|
633 | 719 | # nBaud = numpy.array([self.nBaud], numpy.dtype('u4')) |
|
|
634 | 720 | # nBaud.tofile(fp) |
|
|
635 | 721 | # |
|
|
636 | 722 | # code = self.code.reshape(self.nCode*self.nBaud) |
|
|
637 | 723 | # code = code.astype(numpy.dtype('<f4')) |
|
|
638 | 724 | # code.tofile(fp) |
|
|
639 | 725 | |
|
|
640 | 726 | return 1 |
|
|
641 | 727 | |
|
|
642 | 728 | def get_size(self): |
|
|
643 | 729 | |
|
|
644 | 730 | self.__size = 40 + 12*self.nWindows + 2*self.totalSpectra |
|
|
645 | 731 | |
|
|
646 | 732 | # if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE: |
|
|
647 | 733 | # self.__size += 4 + 4 + 4*self.nCode*numpy.ceil(self.nBaud/32.) |
|
|
648 | 734 | # self.__size += 4 + 4 + 4 * self.nCode * self.nBaud |
|
|
649 | 735 | |
|
|
650 | 736 | return self.__size |
|
|
651 | 737 | |
|
|
652 | 738 | def set_size(self, value): |
|
|
653 | 739 | |
|
|
654 | 740 | raise IOError, "size is a property and it cannot be set, just read" |
|
|
655 | 741 | |
|
|
656 | 742 | return |
|
|
657 | 743 | |
|
|
658 | 744 | size = property(get_size, set_size) |
|
|
659 | 745 | |
|
|
660 | 746 | class RCfunction: |
|
|
661 | 747 | NONE=0 |
|
|
662 | 748 | FLIP=1 |
|
|
663 | 749 | CODE=2 |
|
|
664 | 750 | SAMPLING=3 |
|
|
665 | 751 | LIN6DIV256=4 |
|
|
666 | 752 | SYNCHRO=5 |
|
|
667 | 753 | |
|
|
668 | 754 | class nCodeType: |
|
|
669 | 755 | NONE=0 |
|
|
670 | 756 | USERDEFINE=1 |
|
|
671 | 757 | BARKER2=2 |
|
|
672 | 758 | BARKER3=3 |
|
|
673 | 759 | BARKER4=4 |
|
|
674 | 760 | BARKER5=5 |
|
|
675 | 761 | BARKER7=6 |
|
|
676 | 762 | BARKER11=7 |
|
|
677 | 763 | BARKER13=8 |
|
|
678 | 764 | AC128=9 |
|
|
679 | 765 | COMPLEMENTARYCODE2=10 |
|
|
680 | 766 | COMPLEMENTARYCODE4=11 |
|
|
681 | 767 | COMPLEMENTARYCODE8=12 |
|
|
682 | 768 | COMPLEMENTARYCODE16=13 |
|
|
683 | 769 | COMPLEMENTARYCODE32=14 |
|
|
684 | 770 | COMPLEMENTARYCODE64=15 |
|
|
685 | 771 | COMPLEMENTARYCODE128=16 |
|
|
686 | 772 | CODE_BINARY28=17 |
|
|
687 | 773 | |
|
|
688 | 774 | class PROCFLAG: |
|
|
689 | 775 | |
|
|
690 | 776 | COHERENT_INTEGRATION = numpy.uint32(0x00000001) |
|
|
691 | 777 | DECODE_DATA = numpy.uint32(0x00000002) |
|
|
692 | 778 | SPECTRA_CALC = numpy.uint32(0x00000004) |
|
|
693 | 779 | INCOHERENT_INTEGRATION = numpy.uint32(0x00000008) |
|
|
694 | 780 | POST_COHERENT_INTEGRATION = numpy.uint32(0x00000010) |
|
|
695 | 781 | SHIFT_FFT_DATA = numpy.uint32(0x00000020) |
|
|
696 | 782 | |
|
|
697 | 783 | DATATYPE_CHAR = numpy.uint32(0x00000040) |
|
|
698 | 784 | DATATYPE_SHORT = numpy.uint32(0x00000080) |
|
|
699 | 785 | DATATYPE_LONG = numpy.uint32(0x00000100) |
|
|
700 | 786 | DATATYPE_INT64 = numpy.uint32(0x00000200) |
|
|
701 | 787 | DATATYPE_FLOAT = numpy.uint32(0x00000400) |
|
|
702 | 788 | DATATYPE_DOUBLE = numpy.uint32(0x00000800) |
|
|
703 | 789 | |
|
|
704 | 790 | DATAARRANGE_CONTIGUOUS_CH = numpy.uint32(0x00001000) |
|
|
705 | 791 | DATAARRANGE_CONTIGUOUS_H = numpy.uint32(0x00002000) |
|
|
706 | 792 | DATAARRANGE_CONTIGUOUS_P = numpy.uint32(0x00004000) |
|
|
707 | 793 | |
|
|
708 | 794 | SAVE_CHANNELS_DC = numpy.uint32(0x00008000) |
|
|
709 | 795 | DEFLIP_DATA = numpy.uint32(0x00010000) |
|
|
710 | 796 | DEFINE_PROCESS_CODE = numpy.uint32(0x00020000) |
|
|
711 | 797 | |
|
|
712 | 798 | ACQ_SYS_NATALIA = numpy.uint32(0x00040000) |
|
|
713 | 799 | ACQ_SYS_ECHOTEK = numpy.uint32(0x00080000) |
|
|
714 | 800 | ACQ_SYS_ADRXD = numpy.uint32(0x000C0000) |
|
|
715 | 801 | ACQ_SYS_JULIA = numpy.uint32(0x00100000) |
|
|
716 | 802 | ACQ_SYS_XXXXXX = numpy.uint32(0x00140000) |
|
|
717 | 803 | |
|
|
718 | 804 | EXP_NAME_ESP = numpy.uint32(0x00200000) |
|
|
719 | 805 | CHANNEL_NAMES_ESP = numpy.uint32(0x00400000) |
|
|
720 | 806 | |
|
|
721 | 807 | OPERATION_MASK = numpy.uint32(0x0000003F) |
|
|
722 | 808 | DATATYPE_MASK = numpy.uint32(0x00000FC0) |
|
|
723 | 809 | DATAARRANGE_MASK = numpy.uint32(0x00007000) |
|
|
724 | 810 | ACQ_SYS_MASK = numpy.uint32(0x001C0000) |
|
|
725 | 811 | |
|
|
726 | 812 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
727 | 813 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
728 | 814 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
729 | 815 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
730 | 816 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
731 | 817 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
732 | 818 | |
|
|
733 | 819 | NUMPY_DTYPE_LIST = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
|
734 | 820 | |
|
|
735 | 821 | PROCFLAG_DTYPE_LIST = [PROCFLAG.DATATYPE_CHAR, |
|
|
736 | 822 | PROCFLAG.DATATYPE_SHORT, |
|
|
737 | 823 | PROCFLAG.DATATYPE_LONG, |
|
|
738 | 824 | PROCFLAG.DATATYPE_INT64, |
|
|
739 | 825 | PROCFLAG.DATATYPE_FLOAT, |
|
|
740 | 826 | PROCFLAG.DATATYPE_DOUBLE] |
|
|
741 | 827 | |
|
|
742 | 828 | DTYPE_WIDTH = [1, 2, 4, 8, 4, 8] |
|
|
743 | 829 | |
|
|
744 | 830 | def get_dtype_index(numpy_dtype): |
|
|
745 | 831 | |
|
|
746 | 832 | index = None |
|
|
747 | 833 | |
|
|
748 | 834 | for i in range(len(NUMPY_DTYPE_LIST)): |
|
|
749 | 835 | if numpy_dtype == NUMPY_DTYPE_LIST[i]: |
|
|
750 | 836 | index = i |
|
|
751 | 837 | break |
|
|
752 | 838 | |
|
|
753 | 839 | return index |
|
|
754 | 840 | |
|
|
755 | 841 | def get_numpy_dtype(index): |
|
|
756 | 842 | |
|
|
757 | 843 | return NUMPY_DTYPE_LIST[index] |
|
|
758 | 844 | |
|
|
759 | 845 | def get_procflag_dtype(index): |
|
|
760 | 846 | |
|
|
761 | 847 | return PROCFLAG_DTYPE_LIST[index] |
|
|
762 | 848 | |
|
|
763 | 849 | def get_dtype_width(index): |
|
|
764 | 850 | |
|
|
765 | 851 | return DTYPE_WIDTH[index] No newline at end of file |
| @@ -1,225 +1,225 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 9, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import datetime |
|
|
8 | 8 | import numpy |
|
|
9 | 9 | |
|
|
10 | 10 | from figure import Figure |
|
|
11 | 11 | |
|
|
12 | 12 | class Scope(Figure): |
|
|
13 | 13 | |
|
|
14 | 14 | isConfig = None |
|
|
15 | 15 | |
|
|
16 | def __init__(self): | |
|
|
17 | ||
|
|
16 | def __init__(self, **kwargs): | |
|
|
17 | Figure.__init__(self, **kwargs) | |
|
|
18 | 18 | self.isConfig = False |
|
|
19 | 19 | self.WIDTH = 300 |
|
|
20 | 20 | self.HEIGHT = 200 |
|
|
21 | 21 | self.counter_imagwr = 0 |
|
|
22 | 22 | |
|
|
23 | 23 | def getSubplots(self): |
|
|
24 | 24 | |
|
|
25 | 25 | nrow = self.nplots |
|
|
26 | 26 | ncol = 3 |
|
|
27 | 27 | return nrow, ncol |
|
|
28 | 28 | |
|
|
29 | 29 | def setup(self, id, nplots, wintitle, show): |
|
|
30 | 30 | |
|
|
31 | 31 | self.nplots = nplots |
|
|
32 | 32 | |
|
|
33 | 33 | self.createFigure(id=id, |
|
|
34 | 34 | wintitle=wintitle, |
|
|
35 | 35 | show=show) |
|
|
36 | 36 | |
|
|
37 | 37 | nrow,ncol = self.getSubplots() |
|
|
38 | 38 | colspan = 3 |
|
|
39 | 39 | rowspan = 1 |
|
|
40 | 40 | |
|
|
41 | 41 | for i in range(nplots): |
|
|
42 | 42 | self.addAxes(nrow, ncol, i, 0, colspan, rowspan) |
|
|
43 | 43 | |
|
|
44 | 44 | def plot_iq(self, x, y, id, channelIndexList, thisDatetime, wintitle, show, xmin, xmax, ymin, ymax): |
|
|
45 | 45 | yreal = y[channelIndexList,:].real |
|
|
46 | 46 | yimag = y[channelIndexList,:].imag |
|
|
47 | 47 | |
|
|
48 | 48 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
49 | 49 | xlabel = "Range (Km)" |
|
|
50 | 50 | ylabel = "Intensity - IQ" |
|
|
51 | 51 | |
|
|
52 | 52 | if not self.isConfig: |
|
|
53 | 53 | nplots = len(channelIndexList) |
|
|
54 | 54 | |
|
|
55 | 55 | self.setup(id=id, |
|
|
56 | 56 | nplots=nplots, |
|
|
57 | 57 | wintitle='', |
|
|
58 | 58 | show=show) |
|
|
59 | 59 | |
|
|
60 | 60 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
61 | 61 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
62 | 62 | if ymin == None: ymin = min(numpy.nanmin(yreal),numpy.nanmin(yimag)) |
|
|
63 | 63 | if ymax == None: ymax = max(numpy.nanmax(yreal),numpy.nanmax(yimag)) |
|
|
64 | 64 | |
|
|
65 | 65 | self.isConfig = True |
|
|
66 | 66 | |
|
|
67 | 67 | self.setWinTitle(title) |
|
|
68 | 68 | |
|
|
69 | 69 | for i in range(len(self.axesList)): |
|
|
70 | 70 | title = "Channel %d" %(i) |
|
|
71 | 71 | axes = self.axesList[i] |
|
|
72 | 72 | |
|
|
73 | 73 | axes.pline(x, yreal[i,:], |
|
|
74 | 74 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
75 | 75 | xlabel=xlabel, ylabel=ylabel, title=title) |
|
|
76 | 76 | |
|
|
77 | 77 | axes.addpline(x, yimag[i,:], idline=1, color="red", linestyle="solid", lw=2) |
|
|
78 | 78 | |
|
|
79 | 79 | def plot_power(self, x, y, id, channelIndexList, thisDatetime, wintitle, show, xmin, xmax, ymin, ymax): |
|
|
80 | 80 | y = y[channelIndexList,:] * numpy.conjugate(y[channelIndexList,:]) |
|
|
81 | 81 | yreal = y.real |
|
|
82 | 82 | |
|
|
83 | 83 | title = wintitle + " Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
|
84 | 84 | xlabel = "Range (Km)" |
|
|
85 | 85 | ylabel = "Intensity" |
|
|
86 | 86 | |
|
|
87 | 87 | if not self.isConfig: |
|
|
88 | 88 | nplots = len(channelIndexList) |
|
|
89 | 89 | |
|
|
90 | 90 | self.setup(id=id, |
|
|
91 | 91 | nplots=nplots, |
|
|
92 | 92 | wintitle='', |
|
|
93 | 93 | show=show) |
|
|
94 | 94 | |
|
|
95 | 95 | if xmin == None: xmin = numpy.nanmin(x) |
|
|
96 | 96 | if xmax == None: xmax = numpy.nanmax(x) |
|
|
97 | 97 | if ymin == None: ymin = numpy.nanmin(yreal) |
|
|
98 | 98 | if ymax == None: ymax = numpy.nanmax(yreal) |
|
|
99 | 99 | |
|
|
100 | 100 | self.isConfig = True |
|
|
101 | 101 | |
|
|
102 | 102 | self.setWinTitle(title) |
|
|
103 | 103 | |
|
|
104 | 104 | for i in range(len(self.axesList)): |
|
|
105 | 105 | title = "Channel %d" %(i) |
|
|
106 | 106 | axes = self.axesList[i] |
|
|
107 | 107 | ychannel = yreal[i,:] |
|
|
108 | 108 | axes.pline(x, ychannel, |
|
|
109 | 109 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
|
110 | 110 | xlabel=xlabel, ylabel=ylabel, title=title) |
|
|
111 | 111 | |
|
|
112 | 112 | |
|
|
113 | 113 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
|
114 | 114 | xmin=None, xmax=None, ymin=None, ymax=None, save=False, |
|
|
115 | 115 | figpath='./', figfile=None, show=True, wr_period=1, |
|
|
116 | 116 | ftp=False, server=None, folder=None, username=None, password=None, type='power'): |
|
|
117 | 117 | |
|
|
118 | 118 | """ |
|
|
119 | 119 | |
|
|
120 | 120 | Input: |
|
|
121 | 121 | dataOut : |
|
|
122 | 122 | id : |
|
|
123 | 123 | wintitle : |
|
|
124 | 124 | channelList : |
|
|
125 | 125 | xmin : None, |
|
|
126 | 126 | xmax : None, |
|
|
127 | 127 | ymin : None, |
|
|
128 | 128 | ymax : None, |
|
|
129 | 129 | """ |
|
|
130 | 130 | |
|
|
131 | 131 | if channelList == None: |
|
|
132 | 132 | channelIndexList = dataOut.channelIndexList |
|
|
133 | 133 | else: |
|
|
134 | 134 | channelIndexList = [] |
|
|
135 | 135 | for channel in channelList: |
|
|
136 | 136 | if channel not in dataOut.channelList: |
|
|
137 | 137 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
|
138 | 138 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
|
139 | 139 | |
|
|
140 | 140 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
|
141 | 141 | |
|
|
142 | 142 | if dataOut.flagDataAsBlock: |
|
|
143 | 143 | |
|
|
144 | 144 | for i in range(dataOut.nProfiles): |
|
|
145 | 145 | |
|
|
146 | 146 | wintitle1 = wintitle + " [Profile = %d] " %i |
|
|
147 | 147 | |
|
|
148 | 148 | if type == "power": |
|
|
149 | 149 | self.plot_power(dataOut.heightList, |
|
|
150 | 150 | dataOut.data[:,i,:], |
|
|
151 | 151 | id, |
|
|
152 | 152 | channelIndexList, |
|
|
153 | 153 | thisDatetime, |
|
|
154 | 154 | wintitle1, |
|
|
155 | 155 | show, |
|
|
156 | 156 | xmin, |
|
|
157 | 157 | xmax, |
|
|
158 | 158 | ymin, |
|
|
159 | 159 | ymax) |
|
|
160 | 160 | |
|
|
161 | 161 | if type == "iq": |
|
|
162 | 162 | self.plot_iq(dataOut.heightList, |
|
|
163 | 163 | dataOut.data[:,i,:], |
|
|
164 | 164 | id, |
|
|
165 | 165 | channelIndexList, |
|
|
166 | 166 | thisDatetime, |
|
|
167 | 167 | wintitle1, |
|
|
168 | 168 | show, |
|
|
169 | 169 | xmin, |
|
|
170 | 170 | xmax, |
|
|
171 | 171 | ymin, |
|
|
172 | 172 | ymax) |
|
|
173 | 173 | |
|
|
174 | 174 | self.draw() |
|
|
175 | 175 | |
|
|
176 | 176 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
|
177 | 177 | figfile = self.getFilename(name = str_datetime) + "_" + str(i) |
|
|
178 | 178 | |
|
|
179 | 179 | self.save(figpath=figpath, |
|
|
180 | 180 | figfile=figfile, |
|
|
181 | 181 | save=save, |
|
|
182 | 182 | ftp=ftp, |
|
|
183 | 183 | wr_period=wr_period, |
|
|
184 | 184 | thisDatetime=thisDatetime) |
|
|
185 | 185 | |
|
|
186 | 186 | else: |
|
|
187 | 187 | wintitle += " [Profile = %d] " %dataOut.profileIndex |
|
|
188 | 188 | |
|
|
189 | 189 | if type == "power": |
|
|
190 | 190 | self.plot_power(dataOut.heightList, |
|
|
191 | 191 | dataOut.data, |
|
|
192 | 192 | id, |
|
|
193 | 193 | channelIndexList, |
|
|
194 | 194 | thisDatetime, |
|
|
195 | 195 | wintitle, |
|
|
196 | 196 | show, |
|
|
197 | 197 | xmin, |
|
|
198 | 198 | xmax, |
|
|
199 | 199 | ymin, |
|
|
200 | 200 | ymax) |
|
|
201 | 201 | |
|
|
202 | 202 | if type == "iq": |
|
|
203 | 203 | self.plot_iq(dataOut.heightList, |
|
|
204 | 204 | dataOut.data, |
|
|
205 | 205 | id, |
|
|
206 | 206 | channelIndexList, |
|
|
207 | 207 | thisDatetime, |
|
|
208 | 208 | wintitle, |
|
|
209 | 209 | show, |
|
|
210 | 210 | xmin, |
|
|
211 | 211 | xmax, |
|
|
212 | 212 | ymin, |
|
|
213 | 213 | ymax) |
|
|
214 | 214 | |
|
|
215 | 215 | self.draw() |
|
|
216 | 216 | |
|
|
217 | 217 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") + "_" + str(dataOut.profileIndex) |
|
|
218 | 218 | figfile = self.getFilename(name = str_datetime) |
|
|
219 | 219 | |
|
|
220 | 220 | self.save(figpath=figpath, |
|
|
221 | 221 | figfile=figfile, |
|
|
222 | 222 | save=save, |
|
|
223 | 223 | ftp=ftp, |
|
|
224 | 224 | wr_period=wr_period, |
|
|
225 | 225 | thisDatetime=thisDatetime) |
| @@ -1,1814 +1,1816 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 2, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | import os |
|
|
7 | 7 | import sys |
|
|
8 | 8 | import glob |
|
|
9 | 9 | import time |
|
|
10 | 10 | import numpy |
|
|
11 | 11 | import fnmatch |
|
|
12 | 12 | import inspect |
|
|
13 | 13 | import time, datetime |
|
|
14 | 14 | import traceback |
|
|
15 | 15 | import zmq |
|
|
16 | 16 | |
|
|
17 | 17 | try: |
|
|
18 | 18 | from gevent import sleep |
|
|
19 | 19 | except: |
|
|
20 | 20 | from time import sleep |
|
|
21 | 21 | |
|
|
22 | 22 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
23 | 23 | from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width |
|
|
24 | 24 | |
|
|
25 | 25 | LOCALTIME = True |
|
|
26 | 26 | |
|
|
27 | 27 | def isNumber(cad): |
|
|
28 | 28 | """ |
|
|
29 | 29 | Chequea si el conjunto de caracteres que componen un string puede ser convertidos a un numero. |
|
|
30 | 30 | |
|
|
31 | 31 | Excepciones: |
|
|
32 | 32 | Si un determinado string no puede ser convertido a numero |
|
|
33 | 33 | Input: |
|
|
34 | 34 | str, string al cual se le analiza para determinar si convertible a un numero o no |
|
|
35 | 35 | |
|
|
36 | 36 | Return: |
|
|
37 | 37 | True : si el string es uno numerico |
|
|
38 | 38 | False : no es un string numerico |
|
|
39 | 39 | """ |
|
|
40 | 40 | try: |
|
|
41 | 41 | float( cad ) |
|
|
42 | 42 | return True |
|
|
43 | 43 | except: |
|
|
44 | 44 | return False |
|
|
45 | 45 | |
|
|
46 | 46 | def isFileInEpoch(filename, startUTSeconds, endUTSeconds): |
|
|
47 | 47 | """ |
|
|
48 | 48 | Esta funcion determina si un archivo de datos se encuentra o no dentro del rango de fecha especificado. |
|
|
49 | 49 | |
|
|
50 | 50 | Inputs: |
|
|
51 | 51 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
52 | 52 | |
|
|
53 | 53 | startUTSeconds : fecha inicial del rango seleccionado. La fecha esta dada en |
|
|
54 | 54 | segundos contados desde 01/01/1970. |
|
|
55 | 55 | endUTSeconds : fecha final del rango seleccionado. La fecha esta dada en |
|
|
56 | 56 | segundos contados desde 01/01/1970. |
|
|
57 | 57 | |
|
|
58 | 58 | Return: |
|
|
59 | 59 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
60 | 60 | fecha especificado, de lo contrario retorna False. |
|
|
61 | 61 | |
|
|
62 | 62 | Excepciones: |
|
|
63 | 63 | Si el archivo no existe o no puede ser abierto |
|
|
64 | 64 | Si la cabecera no puede ser leida. |
|
|
65 | 65 | |
|
|
66 | 66 | """ |
|
|
67 | 67 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
68 | 68 | |
|
|
69 | 69 | try: |
|
|
70 | 70 | fp = open(filename,'rb') |
|
|
71 | 71 | except IOError: |
|
|
72 | 72 | print "The file %s can't be opened" %(filename) |
|
|
73 | 73 | return 0 |
|
|
74 | 74 | |
|
|
75 | 75 | sts = basicHeaderObj.read(fp) |
|
|
76 | 76 | fp.close() |
|
|
77 | 77 | |
|
|
78 | 78 | if not(sts): |
|
|
79 | 79 | print "Skipping the file %s because it has not a valid header" %(filename) |
|
|
80 | 80 | return 0 |
|
|
81 | 81 | |
|
|
82 | 82 | if not ((startUTSeconds <= basicHeaderObj.utc) and (endUTSeconds > basicHeaderObj.utc)): |
|
|
83 | 83 | return 0 |
|
|
84 | 84 | |
|
|
85 | 85 | return 1 |
|
|
86 | 86 | |
|
|
87 | 87 | def isTimeInRange(thisTime, startTime, endTime): |
|
|
88 | 88 | |
|
|
89 | 89 | if endTime >= startTime: |
|
|
90 | 90 | if (thisTime < startTime) or (thisTime > endTime): |
|
|
91 | 91 | return 0 |
|
|
92 | 92 | |
|
|
93 | 93 | return 1 |
|
|
94 | 94 | else: |
|
|
95 | 95 | if (thisTime < startTime) and (thisTime > endTime): |
|
|
96 | 96 | return 0 |
|
|
97 | 97 | |
|
|
98 | 98 | return 1 |
|
|
99 | 99 | |
|
|
100 | 100 | def isFileInTimeRange(filename, startDate, endDate, startTime, endTime): |
|
|
101 | 101 | """ |
|
|
102 | 102 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
103 | 103 | |
|
|
104 | 104 | Inputs: |
|
|
105 | 105 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
106 | 106 | |
|
|
107 | 107 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
108 | 108 | |
|
|
109 | 109 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
110 | 110 | |
|
|
111 | 111 | startTime : tiempo inicial del rango seleccionado en formato datetime.time |
|
|
112 | 112 | |
|
|
113 | 113 | endTime : tiempo final del rango seleccionado en formato datetime.time |
|
|
114 | 114 | |
|
|
115 | 115 | Return: |
|
|
116 | 116 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
117 | 117 | fecha especificado, de lo contrario retorna False. |
|
|
118 | 118 | |
|
|
119 | 119 | Excepciones: |
|
|
120 | 120 | Si el archivo no existe o no puede ser abierto |
|
|
121 | 121 | Si la cabecera no puede ser leida. |
|
|
122 | 122 | |
|
|
123 | 123 | """ |
|
|
124 | 124 | |
|
|
125 | 125 | |
|
|
126 | 126 | try: |
|
|
127 | 127 | fp = open(filename,'rb') |
|
|
128 | 128 | except IOError: |
|
|
129 | 129 | print "The file %s can't be opened" %(filename) |
|
|
130 | 130 | return None |
|
|
131 | 131 | |
|
|
132 | 132 | firstBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
133 | 133 | systemHeaderObj = SystemHeader() |
|
|
134 | 134 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
135 | 135 | processingHeaderObj = ProcessingHeader() |
|
|
136 | 136 | |
|
|
137 | 137 | lastBasicHeaderObj = BasicHeader(LOCALTIME) |
|
|
138 | 138 | |
|
|
139 | 139 | sts = firstBasicHeaderObj.read(fp) |
|
|
140 | 140 | |
|
|
141 | 141 | if not(sts): |
|
|
142 | 142 | print "[Reading] Skipping the file %s because it has not a valid header" %(filename) |
|
|
143 | 143 | return None |
|
|
144 | 144 | |
|
|
145 | 145 | if not systemHeaderObj.read(fp): |
|
|
146 | 146 | return None |
|
|
147 | 147 | |
|
|
148 | 148 | if not radarControllerHeaderObj.read(fp): |
|
|
149 | 149 | return None |
|
|
150 | 150 | |
|
|
151 | 151 | if not processingHeaderObj.read(fp): |
|
|
152 | 152 | return None |
|
|
153 | 153 | |
|
|
154 | 154 | filesize = os.path.getsize(filename) |
|
|
155 | 155 | |
|
|
156 | 156 | offset = processingHeaderObj.blockSize + 24 #header size |
|
|
157 | 157 | |
|
|
158 | 158 | if filesize <= offset: |
|
|
159 | 159 | print "[Reading] %s: This file has not enough data" %filename |
|
|
160 | 160 | return None |
|
|
161 | 161 | |
|
|
162 | 162 | fp.seek(-offset, 2) |
|
|
163 | 163 | |
|
|
164 | 164 | sts = lastBasicHeaderObj.read(fp) |
|
|
165 | 165 | |
|
|
166 | 166 | fp.close() |
|
|
167 | 167 | |
|
|
168 | 168 | thisDatetime = lastBasicHeaderObj.datatime |
|
|
169 | 169 | thisTime_last_block = thisDatetime.time() |
|
|
170 | 170 | |
|
|
171 | 171 | thisDatetime = firstBasicHeaderObj.datatime |
|
|
172 | 172 | thisDate = thisDatetime.date() |
|
|
173 | 173 | thisTime_first_block = thisDatetime.time() |
|
|
174 | 174 | |
|
|
175 | 175 | #General case |
|
|
176 | 176 | # o>>>>>>>>>>>>>><<<<<<<<<<<<<<o |
|
|
177 | 177 | #-----------o----------------------------o----------- |
|
|
178 | 178 | # startTime endTime |
|
|
179 | 179 | |
|
|
180 | 180 | if endTime >= startTime: |
|
|
181 | 181 | if (thisTime_last_block < startTime) or (thisTime_first_block > endTime): |
|
|
182 | 182 | return None |
|
|
183 | 183 | |
|
|
184 | 184 | return thisDatetime |
|
|
185 | 185 | |
|
|
186 | 186 | #If endTime < startTime then endTime belongs to the next day |
|
|
187 | 187 | |
|
|
188 | 188 | |
|
|
189 | 189 | #<<<<<<<<<<<o o>>>>>>>>>>> |
|
|
190 | 190 | #-----------o----------------------------o----------- |
|
|
191 | 191 | # endTime startTime |
|
|
192 | 192 | |
|
|
193 | 193 | if (thisDate == startDate) and (thisTime_last_block < startTime): |
|
|
194 | 194 | return None |
|
|
195 | 195 | |
|
|
196 | 196 | if (thisDate == endDate) and (thisTime_first_block > endTime): |
|
|
197 | 197 | return None |
|
|
198 | 198 | |
|
|
199 | 199 | if (thisTime_last_block < startTime) and (thisTime_first_block > endTime): |
|
|
200 | 200 | return None |
|
|
201 | 201 | |
|
|
202 | 202 | return thisDatetime |
|
|
203 | 203 | |
|
|
204 | 204 | def isFolderInDateRange(folder, startDate=None, endDate=None): |
|
|
205 | 205 | """ |
|
|
206 | 206 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
207 | 207 | |
|
|
208 | 208 | Inputs: |
|
|
209 | 209 | folder : nombre completo del directorio. |
|
|
210 | 210 | Su formato deberia ser "/path_root/?YYYYDDD" |
|
|
211 | 211 | |
|
|
212 | 212 | siendo: |
|
|
213 | 213 | YYYY : Anio (ejemplo 2015) |
|
|
214 | 214 | DDD : Dia del anio (ejemplo 305) |
|
|
215 | 215 | |
|
|
216 | 216 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
217 | 217 | |
|
|
218 | 218 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
219 | 219 | |
|
|
220 | 220 | Return: |
|
|
221 | 221 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
222 | 222 | fecha especificado, de lo contrario retorna False. |
|
|
223 | 223 | Excepciones: |
|
|
224 | 224 | Si el directorio no tiene el formato adecuado |
|
|
225 | 225 | """ |
|
|
226 | 226 | |
|
|
227 | 227 | basename = os.path.basename(folder) |
|
|
228 | 228 | |
|
|
229 | 229 | if not isRadarFolder(basename): |
|
|
230 | 230 | print "The folder %s has not the rigth format" %folder |
|
|
231 | 231 | return 0 |
|
|
232 | 232 | |
|
|
233 | 233 | if startDate and endDate: |
|
|
234 | 234 | thisDate = getDateFromRadarFolder(basename) |
|
|
235 | 235 | |
|
|
236 | 236 | if thisDate < startDate: |
|
|
237 | 237 | return 0 |
|
|
238 | 238 | |
|
|
239 | 239 | if thisDate > endDate: |
|
|
240 | 240 | return 0 |
|
|
241 | 241 | |
|
|
242 | 242 | return 1 |
|
|
243 | 243 | |
|
|
244 | 244 | def isFileInDateRange(filename, startDate=None, endDate=None): |
|
|
245 | 245 | """ |
|
|
246 | 246 | Retorna 1 si el archivo de datos se encuentra dentro del rango de horas especificado. |
|
|
247 | 247 | |
|
|
248 | 248 | Inputs: |
|
|
249 | 249 | filename : nombre completo del archivo de datos en formato Jicamarca (.r) |
|
|
250 | 250 | |
|
|
251 | 251 | Su formato deberia ser "?YYYYDDDsss" |
|
|
252 | 252 | |
|
|
253 | 253 | siendo: |
|
|
254 | 254 | YYYY : Anio (ejemplo 2015) |
|
|
255 | 255 | DDD : Dia del anio (ejemplo 305) |
|
|
256 | 256 | sss : set |
|
|
257 | 257 | |
|
|
258 | 258 | startDate : fecha inicial del rango seleccionado en formato datetime.date |
|
|
259 | 259 | |
|
|
260 | 260 | endDate : fecha final del rango seleccionado en formato datetime.date |
|
|
261 | 261 | |
|
|
262 | 262 | Return: |
|
|
263 | 263 | Boolean : Retorna True si el archivo de datos contiene datos en el rango de |
|
|
264 | 264 | fecha especificado, de lo contrario retorna False. |
|
|
265 | 265 | Excepciones: |
|
|
266 | 266 | Si el archivo no tiene el formato adecuado |
|
|
267 | 267 | """ |
|
|
268 | 268 | |
|
|
269 | 269 | basename = os.path.basename(filename) |
|
|
270 | 270 | |
|
|
271 | 271 | if not isRadarFile(basename): |
|
|
272 | 272 | print "The filename %s has not the rigth format" %filename |
|
|
273 | 273 | return 0 |
|
|
274 | 274 | |
|
|
275 | 275 | if startDate and endDate: |
|
|
276 | 276 | thisDate = getDateFromRadarFile(basename) |
|
|
277 | 277 | |
|
|
278 | 278 | if thisDate < startDate: |
|
|
279 | 279 | return 0 |
|
|
280 | 280 | |
|
|
281 | 281 | if thisDate > endDate: |
|
|
282 | 282 | return 0 |
|
|
283 | 283 | |
|
|
284 | 284 | return 1 |
|
|
285 | 285 | |
|
|
286 | 286 | def getFileFromSet(path, ext, set): |
|
|
287 | 287 | validFilelist = [] |
|
|
288 | 288 | fileList = os.listdir(path) |
|
|
289 | 289 | |
|
|
290 | 290 | # 0 1234 567 89A BCDE |
|
|
291 | 291 | # H YYYY DDD SSS .ext |
|
|
292 | 292 | |
|
|
293 | 293 | for thisFile in fileList: |
|
|
294 | 294 | try: |
|
|
295 | 295 | year = int(thisFile[1:5]) |
|
|
296 | 296 | doy = int(thisFile[5:8]) |
|
|
297 | 297 | except: |
|
|
298 | 298 | continue |
|
|
299 | 299 | |
|
|
300 | 300 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
301 | 301 | continue |
|
|
302 | 302 | |
|
|
303 | 303 | validFilelist.append(thisFile) |
|
|
304 | 304 | |
|
|
305 | 305 | myfile = fnmatch.filter(validFilelist,'*%4.4d%3.3d%3.3d*'%(year,doy,set)) |
|
|
306 | 306 | |
|
|
307 | 307 | if len(myfile)!= 0: |
|
|
308 | 308 | return myfile[0] |
|
|
309 | 309 | else: |
|
|
310 | 310 | filename = '*%4.4d%3.3d%3.3d%s'%(year,doy,set,ext.lower()) |
|
|
311 | 311 | print 'the filename %s does not exist'%filename |
|
|
312 | 312 | print '...going to the last file: ' |
|
|
313 | 313 | |
|
|
314 | 314 | if validFilelist: |
|
|
315 | 315 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|
316 | 316 | return validFilelist[-1] |
|
|
317 | 317 | |
|
|
318 | 318 | return None |
|
|
319 | 319 | |
|
|
320 | 320 | def getlastFileFromPath(path, ext): |
|
|
321 | 321 | """ |
|
|
322 | 322 | Depura el fileList dejando solo los que cumplan el formato de "PYYYYDDDSSS.ext" |
|
|
323 | 323 | al final de la depuracion devuelve el ultimo file de la lista que quedo. |
|
|
324 | 324 | |
|
|
325 | 325 | Input: |
|
|
326 | 326 | fileList : lista conteniendo todos los files (sin path) que componen una determinada carpeta |
|
|
327 | 327 | ext : extension de los files contenidos en una carpeta |
|
|
328 | 328 | |
|
|
329 | 329 | Return: |
|
|
330 | 330 | El ultimo file de una determinada carpeta, no se considera el path. |
|
|
331 | 331 | """ |
|
|
332 | 332 | validFilelist = [] |
|
|
333 | 333 | fileList = os.listdir(path) |
|
|
334 | 334 | |
|
|
335 | 335 | # 0 1234 567 89A BCDE |
|
|
336 | 336 | # H YYYY DDD SSS .ext |
|
|
337 | 337 | |
|
|
338 | 338 | for thisFile in fileList: |
|
|
339 | 339 | |
|
|
340 | 340 | year = thisFile[1:5] |
|
|
341 | 341 | if not isNumber(year): |
|
|
342 | 342 | continue |
|
|
343 | 343 | |
|
|
344 | 344 | doy = thisFile[5:8] |
|
|
345 | 345 | if not isNumber(doy): |
|
|
346 | 346 | continue |
|
|
347 | 347 | |
|
|
348 | 348 | year = int(year) |
|
|
349 | 349 | doy = int(doy) |
|
|
350 | 350 | |
|
|
351 | 351 | if (os.path.splitext(thisFile)[-1].lower() != ext.lower()): |
|
|
352 | 352 | continue |
|
|
353 | 353 | |
|
|
354 | 354 | validFilelist.append(thisFile) |
|
|
355 | 355 | |
|
|
356 | 356 | if validFilelist: |
|
|
357 | 357 | validFilelist = sorted( validFilelist, key=str.lower ) |
|
|
358 | 358 | return validFilelist[-1] |
|
|
359 | 359 | |
|
|
360 | 360 | return None |
|
|
361 | 361 | |
|
|
362 | 362 | def checkForRealPath(path, foldercounter, year, doy, set, ext): |
|
|
363 | 363 | """ |
|
|
364 | 364 | Por ser Linux Case Sensitive entonces checkForRealPath encuentra el nombre correcto de un path, |
|
|
365 | 365 | Prueba por varias combinaciones de nombres entre mayusculas y minusculas para determinar |
|
|
366 | 366 | el path exacto de un determinado file. |
|
|
367 | 367 | |
|
|
368 | 368 | Example : |
|
|
369 | 369 | nombre correcto del file es .../.../D2009307/P2009307367.ext |
|
|
370 | 370 | |
|
|
371 | 371 | Entonces la funcion prueba con las siguientes combinaciones |
|
|
372 | 372 | .../.../y2009307367.ext |
|
|
373 | 373 | .../.../Y2009307367.ext |
|
|
374 | 374 | .../.../x2009307/y2009307367.ext |
|
|
375 | 375 | .../.../x2009307/Y2009307367.ext |
|
|
376 | 376 | .../.../X2009307/y2009307367.ext |
|
|
377 | 377 | .../.../X2009307/Y2009307367.ext |
|
|
378 | 378 | siendo para este caso, la ultima combinacion de letras, identica al file buscado |
|
|
379 | 379 | |
|
|
380 | 380 | Return: |
|
|
381 | 381 | Si encuentra la cobinacion adecuada devuelve el path completo y el nombre del file |
|
|
382 | 382 | caso contrario devuelve None como path y el la ultima combinacion de nombre en mayusculas |
|
|
383 | 383 | para el filename |
|
|
384 | 384 | """ |
|
|
385 | 385 | fullfilename = None |
|
|
386 | 386 | find_flag = False |
|
|
387 | 387 | filename = None |
|
|
388 | 388 | |
|
|
389 | 389 | prefixDirList = [None,'d','D'] |
|
|
390 | 390 | if ext.lower() == ".r": #voltage |
|
|
391 | 391 | prefixFileList = ['d','D'] |
|
|
392 | 392 | elif ext.lower() == ".pdata": #spectra |
|
|
393 | 393 | prefixFileList = ['p','P'] |
|
|
394 | 394 | else: |
|
|
395 | 395 | return None, filename |
|
|
396 | 396 | |
|
|
397 | 397 | #barrido por las combinaciones posibles |
|
|
398 | 398 | for prefixDir in prefixDirList: |
|
|
399 | 399 | thispath = path |
|
|
400 | 400 | if prefixDir != None: |
|
|
401 | 401 | #formo el nombre del directorio xYYYYDDD (x=d o x=D) |
|
|
402 | 402 | if foldercounter == 0: |
|
|
403 | 403 | thispath = os.path.join(path, "%s%04d%03d" % ( prefixDir, year, doy )) |
|
|
404 | 404 | else: |
|
|
405 | 405 | thispath = os.path.join(path, "%s%04d%03d_%02d" % ( prefixDir, year, doy , foldercounter)) |
|
|
406 | 406 | for prefixFile in prefixFileList: #barrido por las dos combinaciones posibles de "D" |
|
|
407 | 407 | filename = "%s%04d%03d%03d%s" % ( prefixFile, year, doy, set, ext ) #formo el nombre del file xYYYYDDDSSS.ext |
|
|
408 | 408 | fullfilename = os.path.join( thispath, filename ) #formo el path completo |
|
|
409 | 409 | |
|
|
410 | 410 | if os.path.exists( fullfilename ): #verifico que exista |
|
|
411 | 411 | find_flag = True |
|
|
412 | 412 | break |
|
|
413 | 413 | if find_flag: |
|
|
414 | 414 | break |
|
|
415 | 415 | |
|
|
416 | 416 | if not(find_flag): |
|
|
417 | 417 | return None, filename |
|
|
418 | 418 | |
|
|
419 | 419 | return fullfilename, filename |
|
|
420 | 420 | |
|
|
421 | 421 | def isRadarFolder(folder): |
|
|
422 | 422 | try: |
|
|
423 | 423 | year = int(folder[1:5]) |
|
|
424 | 424 | doy = int(folder[5:8]) |
|
|
425 | 425 | except: |
|
|
426 | 426 | return 0 |
|
|
427 | 427 | |
|
|
428 | 428 | return 1 |
|
|
429 | 429 | |
|
|
430 | 430 | def isRadarFile(file): |
|
|
431 | 431 | try: |
|
|
432 | 432 | year = int(file[1:5]) |
|
|
433 | 433 | doy = int(file[5:8]) |
|
|
434 | 434 | set = int(file[8:11]) |
|
|
435 | 435 | except: |
|
|
436 | 436 | return 0 |
|
|
437 | 437 | |
|
|
438 | 438 | return 1 |
|
|
439 | 439 | |
|
|
440 | 440 | def getDateFromRadarFile(file): |
|
|
441 | 441 | try: |
|
|
442 | 442 | year = int(file[1:5]) |
|
|
443 | 443 | doy = int(file[5:8]) |
|
|
444 | 444 | set = int(file[8:11]) |
|
|
445 | 445 | except: |
|
|
446 | 446 | return None |
|
|
447 | 447 | |
|
|
448 | 448 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1) |
|
|
449 | 449 | return thisDate |
|
|
450 | 450 | |
|
|
451 | 451 | def getDateFromRadarFolder(folder): |
|
|
452 | 452 | try: |
|
|
453 | 453 | year = int(folder[1:5]) |
|
|
454 | 454 | doy = int(folder[5:8]) |
|
|
455 | 455 | except: |
|
|
456 | 456 | return None |
|
|
457 | 457 | |
|
|
458 | 458 | thisDate = datetime.date(year, 1, 1) + datetime.timedelta(doy-1) |
|
|
459 | 459 | return thisDate |
|
|
460 | 460 | |
|
|
461 | 461 | class JRODataIO: |
|
|
462 | 462 | |
|
|
463 | 463 | c = 3E8 |
|
|
464 | 464 | |
|
|
465 | 465 | isConfig = False |
|
|
466 | 466 | |
|
|
467 | 467 | basicHeaderObj = None |
|
|
468 | 468 | |
|
|
469 | 469 | systemHeaderObj = None |
|
|
470 | 470 | |
|
|
471 | 471 | radarControllerHeaderObj = None |
|
|
472 | 472 | |
|
|
473 | 473 | processingHeaderObj = None |
|
|
474 | 474 | |
|
|
475 | 475 | dtype = None |
|
|
476 | 476 | |
|
|
477 | 477 | pathList = [] |
|
|
478 | 478 | |
|
|
479 | 479 | filenameList = [] |
|
|
480 | 480 | |
|
|
481 | 481 | filename = None |
|
|
482 | 482 | |
|
|
483 | 483 | ext = None |
|
|
484 | 484 | |
|
|
485 | 485 | flagIsNewFile = 1 |
|
|
486 | 486 | |
|
|
487 | 487 | flagDiscontinuousBlock = 0 |
|
|
488 | 488 | |
|
|
489 | 489 | flagIsNewBlock = 0 |
|
|
490 | 490 | |
|
|
491 | 491 | fp = None |
|
|
492 | 492 | |
|
|
493 | 493 | firstHeaderSize = 0 |
|
|
494 | 494 | |
|
|
495 | 495 | basicHeaderSize = 24 |
|
|
496 | 496 | |
|
|
497 | 497 | versionFile = 1103 |
|
|
498 | 498 | |
|
|
499 | 499 | fileSize = None |
|
|
500 | 500 | |
|
|
501 | 501 | # ippSeconds = None |
|
|
502 | 502 | |
|
|
503 | 503 | fileSizeByHeader = None |
|
|
504 | 504 | |
|
|
505 | 505 | fileIndex = None |
|
|
506 | 506 | |
|
|
507 | 507 | profileIndex = None |
|
|
508 | 508 | |
|
|
509 | 509 | blockIndex = None |
|
|
510 | 510 | |
|
|
511 | 511 | nTotalBlocks = None |
|
|
512 | 512 | |
|
|
513 | 513 | maxTimeStep = 30 |
|
|
514 | 514 | |
|
|
515 | 515 | lastUTTime = None |
|
|
516 | 516 | |
|
|
517 | 517 | datablock = None |
|
|
518 | 518 | |
|
|
519 | 519 | dataOut = None |
|
|
520 | 520 | |
|
|
521 | 521 | blocksize = None |
|
|
522 | 522 | |
|
|
523 | 523 | getByBlock = False |
|
|
524 | 524 | |
|
|
525 | 525 | def __init__(self): |
|
|
526 | 526 | |
|
|
527 | 527 | raise NotImplementedError |
|
|
528 | 528 | |
|
|
529 | 529 | def run(self): |
|
|
530 | 530 | |
|
|
531 | 531 | raise NotImplementedError |
|
|
532 | 532 | |
|
|
533 | 533 | def getDtypeWidth(self): |
|
|
534 | 534 | |
|
|
535 | 535 | dtype_index = get_dtype_index(self.dtype) |
|
|
536 | 536 | dtype_width = get_dtype_width(dtype_index) |
|
|
537 | 537 | |
|
|
538 | 538 | return dtype_width |
|
|
539 | 539 | |
|
|
540 | 540 | def getAllowedArgs(self): |
|
|
541 | 541 | return inspect.getargspec(self.run).args |
|
|
542 | 542 | |
|
|
543 | 543 | class JRODataReader(JRODataIO): |
|
|
544 | 544 | |
|
|
545 | 545 | |
|
|
546 | 546 | online = 0 |
|
|
547 | 547 | |
|
|
548 | 548 | realtime = 0 |
|
|
549 | 549 | |
|
|
550 | 550 | nReadBlocks = 0 |
|
|
551 | 551 | |
|
|
552 | 552 | delay = 10 #number of seconds waiting a new file |
|
|
553 | 553 | |
|
|
554 | 554 | nTries = 3 #quantity tries |
|
|
555 | 555 | |
|
|
556 | 556 | nFiles = 3 #number of files for searching |
|
|
557 | 557 | |
|
|
558 | 558 | path = None |
|
|
559 | 559 | |
|
|
560 | 560 | foldercounter = 0 |
|
|
561 | 561 | |
|
|
562 | 562 | flagNoMoreFiles = 0 |
|
|
563 | 563 | |
|
|
564 | 564 | datetimeList = [] |
|
|
565 | 565 | |
|
|
566 | 566 | __isFirstTimeOnline = 1 |
|
|
567 | 567 | |
|
|
568 | 568 | __printInfo = True |
|
|
569 | 569 | |
|
|
570 | 570 | profileIndex = None |
|
|
571 | 571 | |
|
|
572 | 572 | nTxs = 1 |
|
|
573 | 573 | |
|
|
574 | 574 | txIndex = None |
|
|
575 | 575 | |
|
|
576 | 576 | #Added-------------------- |
|
|
577 | 577 | |
|
|
578 | 578 | selBlocksize = None |
|
|
579 | 579 | |
|
|
580 | 580 | selBlocktime = None |
|
|
581 | 581 | |
|
|
582 | 582 | |
|
|
583 | 583 | def __init__(self): |
|
|
584 | 584 | |
|
|
585 | 585 | """ |
|
|
586 | 586 | This class is used to find data files |
|
|
587 | 587 | |
|
|
588 | 588 | Example: |
|
|
589 | 589 | reader = JRODataReader() |
|
|
590 | 590 | fileList = reader.findDataFiles() |
|
|
591 | 591 | |
|
|
592 | 592 | """ |
|
|
593 | 593 | pass |
|
|
594 | 594 | |
|
|
595 | 595 | |
|
|
596 | 596 | def createObjByDefault(self): |
|
|
597 | 597 | """ |
|
|
598 | 598 | |
|
|
599 | 599 | """ |
|
|
600 | 600 | raise NotImplementedError |
|
|
601 | 601 | |
|
|
602 | 602 | def getBlockDimension(self): |
|
|
603 | 603 | |
|
|
604 | 604 | raise NotImplementedError |
|
|
605 | 605 | |
|
|
606 | 606 | def __searchFilesOffLine(self, |
|
|
607 | 607 | path, |
|
|
608 | 608 | startDate=None, |
|
|
609 | 609 | endDate=None, |
|
|
610 | 610 | startTime=datetime.time(0,0,0), |
|
|
611 | 611 | endTime=datetime.time(23,59,59), |
|
|
612 | 612 | set=None, |
|
|
613 | 613 | expLabel='', |
|
|
614 | 614 | ext='.r', |
|
|
615 | 615 | queue=None, |
|
|
616 | 616 | cursor=None, |
|
|
617 | 617 | skip=None, |
|
|
618 | 618 | walk=True): |
|
|
619 | 619 | |
|
|
620 | 620 | self.filenameList = [] |
|
|
621 | 621 | self.datetimeList = [] |
|
|
622 | 622 | |
|
|
623 | 623 | pathList = [] |
|
|
624 | 624 | |
|
|
625 | 625 | dateList, pathList = self.findDatafiles(path, startDate, endDate, expLabel, ext, walk, include_path=True) |
|
|
626 | 626 | |
|
|
627 | 627 | if dateList == []: |
|
|
628 | 628 | # print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" %(startDate, endDate, ext, path) |
|
|
629 | 629 | return None, None |
|
|
630 | 630 | |
|
|
631 | 631 | if len(dateList) > 1: |
|
|
632 | 632 | print "[Reading] Data found for date range [%s - %s]: total days = %d" %(startDate, endDate, len(dateList)) |
|
|
633 | 633 | else: |
|
|
634 | 634 | print "[Reading] Data found for date range [%s - %s]: date = %s" %(startDate, endDate, dateList[0]) |
|
|
635 | 635 | |
|
|
636 | 636 | filenameList = [] |
|
|
637 | 637 | datetimeList = [] |
|
|
638 | 638 | |
|
|
639 | 639 | for thisPath in pathList: |
|
|
640 | 640 | # thisPath = pathList[pathDict[file]] |
|
|
641 | 641 | |
|
|
642 | 642 | fileList = glob.glob1(thisPath, "*%s" %ext) |
|
|
643 | 643 | fileList.sort() |
|
|
644 | 644 | |
|
|
645 | 645 | skippedFileList = [] |
|
|
646 | 646 | |
|
|
647 | 647 | if cursor is not None and skip is not None: |
|
|
648 | 648 | # if cursor*skip > len(fileList): |
|
|
649 | 649 | if skip == 0: |
|
|
650 | 650 | if queue is not None: |
|
|
651 | 651 | queue.put(len(fileList)) |
|
|
652 | 652 | skippedFileList = [] |
|
|
653 | 653 | else: |
|
|
654 | 654 | skippedFileList = fileList[cursor*skip: cursor*skip + skip] |
|
|
655 | 655 | |
|
|
656 | 656 | else: |
|
|
657 | 657 | skippedFileList = fileList |
|
|
658 | 658 | |
|
|
659 | 659 | for file in skippedFileList: |
|
|
660 | 660 | |
|
|
661 | 661 | filename = os.path.join(thisPath,file) |
|
|
662 | 662 | |
|
|
663 | 663 | if not isFileInDateRange(filename, startDate, endDate): |
|
|
664 | 664 | continue |
|
|
665 | 665 | |
|
|
666 | 666 | thisDatetime = isFileInTimeRange(filename, startDate, endDate, startTime, endTime) |
|
|
667 | 667 | |
|
|
668 | 668 | if not(thisDatetime): |
|
|
669 | 669 | continue |
|
|
670 | 670 | |
|
|
671 | 671 | filenameList.append(filename) |
|
|
672 | 672 | datetimeList.append(thisDatetime) |
|
|
673 | 673 | |
|
|
674 | 674 | if not(filenameList): |
|
|
675 | 675 | print "[Reading] Time range selected invalid [%s - %s]: No *%s files in %s)" %(startTime, endTime, ext, path) |
|
|
676 | 676 | return None, None |
|
|
677 | 677 | |
|
|
678 | 678 | print "[Reading] %d file(s) was(were) found in time range: %s - %s" %(len(filenameList), startTime, endTime) |
|
|
679 | 679 | |
|
|
680 | 680 | |
|
|
681 | 681 | for i in range(len(filenameList)): |
|
|
682 | 682 | print "[Reading] %s -> [%s]" %(filenameList[i], datetimeList[i].ctime()) |
|
|
683 | 683 | |
|
|
684 | 684 | self.filenameList = filenameList |
|
|
685 | 685 | self.datetimeList = datetimeList |
|
|
686 | 686 | |
|
|
687 | 687 | return pathList, filenameList |
|
|
688 | 688 | |
|
|
689 | 689 | def __searchFilesOnLine(self, path, expLabel = "", ext = None, walk=True, set=None): |
|
|
690 | 690 | |
|
|
691 | 691 | """ |
|
|
692 | 692 | Busca el ultimo archivo de la ultima carpeta (determinada o no por startDateTime) y |
|
|
693 | 693 | devuelve el archivo encontrado ademas de otros datos. |
|
|
694 | 694 | |
|
|
695 | 695 | Input: |
|
|
696 | 696 | path : carpeta donde estan contenidos los files que contiene data |
|
|
697 | 697 | |
|
|
698 | 698 | expLabel : Nombre del subexperimento (subfolder) |
|
|
699 | 699 | |
|
|
700 | 700 | ext : extension de los files |
|
|
701 | 701 | |
|
|
702 | 702 | walk : Si es habilitado no realiza busquedas dentro de los ubdirectorios (doypath) |
|
|
703 | 703 | |
|
|
704 | 704 | Return: |
|
|
705 | 705 | directory : eL directorio donde esta el file encontrado |
|
|
706 | 706 | filename : el ultimo file de una determinada carpeta |
|
|
707 | 707 | year : el anho |
|
|
708 | 708 | doy : el numero de dia del anho |
|
|
709 | 709 | set : el set del archivo |
|
|
710 | 710 | |
|
|
711 | 711 | |
|
|
712 | 712 | """ |
|
|
713 | 713 | if not os.path.isdir(path): |
|
|
714 | 714 | return None, None, None, None, None, None |
|
|
715 | 715 | |
|
|
716 | 716 | dirList = [] |
|
|
717 | 717 | |
|
|
718 | 718 | if not walk: |
|
|
719 | 719 | fullpath = path |
|
|
720 | 720 | foldercounter = 0 |
|
|
721 | 721 | else: |
|
|
722 | 722 | #Filtra solo los directorios |
|
|
723 | 723 | for thisPath in os.listdir(path): |
|
|
724 | 724 | if not os.path.isdir(os.path.join(path,thisPath)): |
|
|
725 | 725 | continue |
|
|
726 | 726 | if not isRadarFolder(thisPath): |
|
|
727 | 727 | continue |
|
|
728 | 728 | |
|
|
729 | 729 | dirList.append(thisPath) |
|
|
730 | 730 | |
|
|
731 | 731 | if not(dirList): |
|
|
732 | 732 | return None, None, None, None, None, None |
|
|
733 | 733 | |
|
|
734 | 734 | dirList = sorted( dirList, key=str.lower ) |
|
|
735 | 735 | |
|
|
736 | 736 | doypath = dirList[-1] |
|
|
737 | 737 | foldercounter = int(doypath.split('_')[1]) if len(doypath.split('_'))>1 else 0 |
|
|
738 | 738 | fullpath = os.path.join(path, doypath, expLabel) |
|
|
739 | 739 | |
|
|
740 | 740 | |
|
|
741 | 741 | print "[Reading] %s folder was found: " %(fullpath ) |
|
|
742 | 742 | |
|
|
743 | 743 | if set == None: |
|
|
744 | 744 | filename = getlastFileFromPath(fullpath, ext) |
|
|
745 | 745 | else: |
|
|
746 | 746 | filename = getFileFromSet(fullpath, ext, set) |
|
|
747 | 747 | |
|
|
748 | 748 | if not(filename): |
|
|
749 | 749 | return None, None, None, None, None, None |
|
|
750 | 750 | |
|
|
751 | 751 | print "[Reading] %s file was found" %(filename) |
|
|
752 | 752 | |
|
|
753 | 753 | if not(self.__verifyFile(os.path.join(fullpath, filename))): |
|
|
754 | 754 | return None, None, None, None, None, None |
|
|
755 | 755 | |
|
|
756 | 756 | year = int( filename[1:5] ) |
|
|
757 | 757 | doy = int( filename[5:8] ) |
|
|
758 | 758 | set = int( filename[8:11] ) |
|
|
759 | 759 | |
|
|
760 | 760 | return fullpath, foldercounter, filename, year, doy, set |
|
|
761 | 761 | |
|
|
762 | 762 | def __setNextFileOffline(self): |
|
|
763 | 763 | |
|
|
764 | 764 | idFile = self.fileIndex |
|
|
765 | 765 | |
|
|
766 | 766 | while (True): |
|
|
767 | 767 | idFile += 1 |
|
|
768 | 768 | if not(idFile < len(self.filenameList)): |
|
|
769 | 769 | self.flagNoMoreFiles = 1 |
|
|
770 | 770 | # print "[Reading] No more Files" |
|
|
771 | 771 | return 0 |
|
|
772 | 772 | |
|
|
773 | 773 | filename = self.filenameList[idFile] |
|
|
774 | 774 | |
|
|
775 | 775 | if not(self.__verifyFile(filename)): |
|
|
776 | 776 | continue |
|
|
777 | 777 | |
|
|
778 | 778 | fileSize = os.path.getsize(filename) |
|
|
779 | 779 | fp = open(filename,'rb') |
|
|
780 | 780 | break |
|
|
781 | 781 | |
|
|
782 | 782 | self.flagIsNewFile = 1 |
|
|
783 | 783 | self.fileIndex = idFile |
|
|
784 | 784 | self.filename = filename |
|
|
785 | 785 | self.fileSize = fileSize |
|
|
786 | 786 | self.fp = fp |
|
|
787 | 787 | |
|
|
788 | 788 | # print "[Reading] Setting the file: %s"%self.filename |
|
|
789 | 789 | |
|
|
790 | 790 | return 1 |
|
|
791 | 791 | |
|
|
792 | 792 | def __setNextFileOnline(self): |
|
|
793 | 793 | """ |
|
|
794 | 794 | Busca el siguiente file que tenga suficiente data para ser leida, dentro de un folder especifico, si |
|
|
795 | 795 | no encuentra un file valido espera un tiempo determinado y luego busca en los posibles n files |
|
|
796 | 796 | siguientes. |
|
|
797 | 797 | |
|
|
798 | 798 | Affected: |
|
|
799 | 799 | self.flagIsNewFile |
|
|
800 | 800 | self.filename |
|
|
801 | 801 | self.fileSize |
|
|
802 | 802 | self.fp |
|
|
803 | 803 | self.set |
|
|
804 | 804 | self.flagNoMoreFiles |
|
|
805 | 805 | |
|
|
806 | 806 | Return: |
|
|
807 | 807 | 0 : si luego de una busqueda del siguiente file valido este no pudo ser encontrado |
|
|
808 | 808 | 1 : si el file fue abierto con exito y esta listo a ser leido |
|
|
809 | 809 | |
|
|
810 | 810 | Excepciones: |
|
|
811 | 811 | Si un determinado file no puede ser abierto |
|
|
812 | 812 | """ |
|
|
813 | 813 | nFiles = 0 |
|
|
814 | 814 | fileOk_flag = False |
|
|
815 | 815 | firstTime_flag = True |
|
|
816 | 816 | |
|
|
817 | 817 | self.set += 1 |
|
|
818 | 818 | |
|
|
819 | 819 | if self.set > 999: |
|
|
820 | 820 | self.set = 0 |
|
|
821 | 821 | self.foldercounter += 1 |
|
|
822 | 822 | |
|
|
823 | 823 | #busca el 1er file disponible |
|
|
824 | 824 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|
825 | 825 | if fullfilename: |
|
|
826 | 826 | if self.__verifyFile(fullfilename, False): |
|
|
827 | 827 | fileOk_flag = True |
|
|
828 | 828 | |
|
|
829 | 829 | #si no encuentra un file entonces espera y vuelve a buscar |
|
|
830 | 830 | if not(fileOk_flag): |
|
|
831 | 831 | for nFiles in range(self.nFiles+1): #busco en los siguientes self.nFiles+1 files posibles |
|
|
832 | 832 | |
|
|
833 | 833 | if firstTime_flag: #si es la 1era vez entonces hace el for self.nTries veces |
|
|
834 | 834 | tries = self.nTries |
|
|
835 | 835 | else: |
|
|
836 | 836 | tries = 1 #si no es la 1era vez entonces solo lo hace una vez |
|
|
837 | 837 | |
|
|
838 | 838 | for nTries in range( tries ): |
|
|
839 | 839 | if firstTime_flag: |
|
|
840 | 840 | print "\t[Reading] Waiting %0.2f sec for the next file: \"%s\" , try %03d ..." % ( self.delay, filename, nTries+1 ) |
|
|
841 | 841 | sleep( self.delay ) |
|
|
842 | 842 | else: |
|
|
843 | 843 | print "\t[Reading] Searching the next \"%s%04d%03d%03d%s\" file ..." % (self.optchar, self.year, self.doy, self.set, self.ext) |
|
|
844 | 844 | |
|
|
845 | 845 | fullfilename, filename = checkForRealPath( self.path, self.foldercounter, self.year, self.doy, self.set, self.ext ) |
|
|
846 | 846 | if fullfilename: |
|
|
847 | 847 | if self.__verifyFile(fullfilename): |
|
|
848 | 848 | fileOk_flag = True |
|
|
849 | 849 | break |
|
|
850 | 850 | |
|
|
851 | 851 | if fileOk_flag: |
|
|
852 | 852 | break |
|
|
853 | 853 | |
|
|
854 | 854 | firstTime_flag = False |
|
|
855 | 855 | |
|
|
856 | 856 | print "\t[Reading] Skipping the file \"%s\" due to this file doesn't exist" % filename |
|
|
857 | 857 | self.set += 1 |
|
|
858 | 858 | |
|
|
859 | 859 | if nFiles == (self.nFiles-1): #si no encuentro el file buscado cambio de carpeta y busco en la siguiente carpeta |
|
|
860 | 860 | self.set = 0 |
|
|
861 | 861 | self.doy += 1 |
|
|
862 | 862 | self.foldercounter = 0 |
|
|
863 | 863 | |
|
|
864 | 864 | if fileOk_flag: |
|
|
865 | 865 | self.fileSize = os.path.getsize( fullfilename ) |
|
|
866 | 866 | self.filename = fullfilename |
|
|
867 | 867 | self.flagIsNewFile = 1 |
|
|
868 | 868 | if self.fp != None: self.fp.close() |
|
|
869 | 869 | self.fp = open(fullfilename, 'rb') |
|
|
870 | 870 | self.flagNoMoreFiles = 0 |
|
|
871 | 871 | # print '[Reading] Setting the file: %s' % fullfilename |
|
|
872 | 872 | else: |
|
|
873 | 873 | self.fileSize = 0 |
|
|
874 | 874 | self.filename = None |
|
|
875 | 875 | self.flagIsNewFile = 0 |
|
|
876 | 876 | self.fp = None |
|
|
877 | 877 | self.flagNoMoreFiles = 1 |
|
|
878 | 878 | # print '[Reading] No more files to read' |
|
|
879 | 879 | |
|
|
880 | 880 | return fileOk_flag |
|
|
881 | 881 | |
|
|
882 | 882 | def setNextFile(self): |
|
|
883 | 883 | if self.fp != None: |
|
|
884 | 884 | self.fp.close() |
|
|
885 | 885 | |
|
|
886 | 886 | if self.online: |
|
|
887 | 887 | newFile = self.__setNextFileOnline() |
|
|
888 | 888 | else: |
|
|
889 | 889 | newFile = self.__setNextFileOffline() |
|
|
890 | 890 | |
|
|
891 | 891 | if not(newFile): |
|
|
892 | 892 | print '[Reading] No more files to read' |
|
|
893 | 893 | return 0 |
|
|
894 | 894 | |
|
|
895 | 895 | if self.verbose: |
|
|
896 | 896 | print '[Reading] Setting the file: %s' % self.filename |
|
|
897 | 897 | |
|
|
898 | 898 | self.__readFirstHeader() |
|
|
899 | 899 | self.nReadBlocks = 0 |
|
|
900 | 900 | return 1 |
|
|
901 | 901 | |
|
|
902 | 902 | def __waitNewBlock(self): |
|
|
903 | 903 | """ |
|
|
904 | 904 | Return 1 si se encontro un nuevo bloque de datos, 0 de otra forma. |
|
|
905 | 905 | |
|
|
906 | 906 | Si el modo de lectura es OffLine siempre retorn 0 |
|
|
907 | 907 | """ |
|
|
908 | 908 | if not self.online: |
|
|
909 | 909 | return 0 |
|
|
910 | 910 | |
|
|
911 | 911 | if (self.nReadBlocks >= self.processingHeaderObj.dataBlocksPerFile): |
|
|
912 | 912 | return 0 |
|
|
913 | 913 | |
|
|
914 | 914 | currentPointer = self.fp.tell() |
|
|
915 | 915 | |
|
|
916 | 916 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
917 | 917 | |
|
|
918 | 918 | for nTries in range( self.nTries ): |
|
|
919 | 919 | |
|
|
920 | 920 | self.fp.close() |
|
|
921 | 921 | self.fp = open( self.filename, 'rb' ) |
|
|
922 | 922 | self.fp.seek( currentPointer ) |
|
|
923 | 923 | |
|
|
924 | 924 | self.fileSize = os.path.getsize( self.filename ) |
|
|
925 | 925 | currentSize = self.fileSize - currentPointer |
|
|
926 | 926 | |
|
|
927 | 927 | if ( currentSize >= neededSize ): |
|
|
928 | 928 | self.basicHeaderObj.read(self.fp) |
|
|
929 | 929 | return 1 |
|
|
930 | 930 | |
|
|
931 | 931 | if self.fileSize == self.fileSizeByHeader: |
|
|
932 | 932 | # self.flagEoF = True |
|
|
933 | 933 | return 0 |
|
|
934 | 934 | |
|
|
935 | 935 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|
936 | 936 | sleep( self.delay ) |
|
|
937 | 937 | |
|
|
938 | 938 | |
|
|
939 | 939 | return 0 |
|
|
940 | 940 | |
|
|
941 | 941 | def waitDataBlock(self,pointer_location): |
|
|
942 | 942 | |
|
|
943 | 943 | currentPointer = pointer_location |
|
|
944 | 944 | |
|
|
945 | 945 | neededSize = self.processingHeaderObj.blockSize #+ self.basicHeaderSize |
|
|
946 | 946 | |
|
|
947 | 947 | for nTries in range( self.nTries ): |
|
|
948 | 948 | self.fp.close() |
|
|
949 | 949 | self.fp = open( self.filename, 'rb' ) |
|
|
950 | 950 | self.fp.seek( currentPointer ) |
|
|
951 | 951 | |
|
|
952 | 952 | self.fileSize = os.path.getsize( self.filename ) |
|
|
953 | 953 | currentSize = self.fileSize - currentPointer |
|
|
954 | 954 | |
|
|
955 | 955 | if ( currentSize >= neededSize ): |
|
|
956 | 956 | return 1 |
|
|
957 | 957 | |
|
|
958 | 958 | print "[Reading] Waiting %0.2f seconds for the next block, try %03d ..." % (self.delay, nTries+1) |
|
|
959 | 959 | sleep( self.delay ) |
|
|
960 | 960 | |
|
|
961 | 961 | return 0 |
|
|
962 | 962 | |
|
|
963 | 963 | def __jumpToLastBlock(self): |
|
|
964 | 964 | |
|
|
965 | 965 | if not(self.__isFirstTimeOnline): |
|
|
966 | 966 | return |
|
|
967 | 967 | |
|
|
968 | 968 | csize = self.fileSize - self.fp.tell() |
|
|
969 | 969 | blocksize = self.processingHeaderObj.blockSize |
|
|
970 | 970 | |
|
|
971 | 971 | #salta el primer bloque de datos |
|
|
972 | 972 | if csize > self.processingHeaderObj.blockSize: |
|
|
973 | 973 | self.fp.seek(self.fp.tell() + blocksize) |
|
|
974 | 974 | else: |
|
|
975 | 975 | return |
|
|
976 | 976 | |
|
|
977 | 977 | csize = self.fileSize - self.fp.tell() |
|
|
978 | 978 | neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
979 | 979 | while True: |
|
|
980 | 980 | |
|
|
981 | 981 | if self.fp.tell()<self.fileSize: |
|
|
982 | 982 | self.fp.seek(self.fp.tell() + neededsize) |
|
|
983 | 983 | else: |
|
|
984 | 984 | self.fp.seek(self.fp.tell() - neededsize) |
|
|
985 | 985 | break |
|
|
986 | 986 | |
|
|
987 | 987 | # csize = self.fileSize - self.fp.tell() |
|
|
988 | 988 | # neededsize = self.processingHeaderObj.blockSize + self.basicHeaderSize |
|
|
989 | 989 | # factor = int(csize/neededsize) |
|
|
990 | 990 | # if factor > 0: |
|
|
991 | 991 | # self.fp.seek(self.fp.tell() + factor*neededsize) |
|
|
992 | 992 | |
|
|
993 | 993 | self.flagIsNewFile = 0 |
|
|
994 | 994 | self.__isFirstTimeOnline = 0 |
|
|
995 | 995 | |
|
|
996 | 996 | def __setNewBlock(self): |
|
|
997 | if self.server is None: | |
|
|
998 |
|
|
|
|
999 |
|
|
|
|
997 | #if self.server is None: | |
|
|
998 | if self.fp == None: | |
|
|
999 | return 0 | |
|
|
1000 | 1000 | |
|
|
1001 | 1001 | # if self.online: |
|
|
1002 | 1002 | # self.__jumpToLastBlock() |
|
|
1003 | 1003 | print 'xxxx' |
|
|
1004 | 1004 | |
|
|
1005 | 1005 | if self.flagIsNewFile: |
|
|
1006 | 1006 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1007 | 1007 | return 1 |
|
|
1008 | 1008 | |
|
|
1009 | 1009 | if self.realtime: |
|
|
1010 | 1010 | self.flagDiscontinuousBlock = 1 |
|
|
1011 | 1011 | if not(self.setNextFile()): |
|
|
1012 | 1012 | return 0 |
|
|
1013 | 1013 | else: |
|
|
1014 | 1014 | return 1 |
|
|
1015 | 1015 | print 'xxxx' |
|
|
1016 | if self.server is None: | |
|
|
1017 |
|
|
|
|
1018 |
|
|
|
|
1019 |
|
|
|
|
1020 |
|
|
|
|
1021 | self.lastUTTime = self.basicHeaderObj.utc | |
|
|
1022 | return 1 | |
|
|
1023 | else: | |
|
|
1024 | self.basicHeaderObj.read(self.zHeader) | |
|
|
1016 | #if self.server is None: | |
|
|
1017 | currentSize = self.fileSize - self.fp.tell() | |
|
|
1018 | neededSize = self.processingHeaderObj.blockSize + self.basicHeaderSize | |
|
|
1019 | if (currentSize >= neededSize): | |
|
|
1020 | self.basicHeaderObj.read(self.fp) | |
|
|
1025 | 1021 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1026 | 1022 | return 1 |
|
|
1023 | # else: | |
|
|
1024 | # self.basicHeaderObj.read(self.zHeader) | |
|
|
1025 | # self.lastUTTime = self.basicHeaderObj.utc | |
|
|
1026 | # return 1 | |
|
|
1027 | 1027 | if self.__waitNewBlock(): |
|
|
1028 | 1028 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1029 | 1029 | return 1 |
|
|
1030 | if self.server is None: | |
|
|
1031 |
|
|
|
|
1032 |
|
|
|
|
1030 | #if self.server is None: | |
|
|
1031 | if not(self.setNextFile()): | |
|
|
1032 | return 0 | |
|
|
1033 | 1033 | |
|
|
1034 | 1034 | deltaTime = self.basicHeaderObj.utc - self.lastUTTime # |
|
|
1035 | 1035 | self.lastUTTime = self.basicHeaderObj.utc |
|
|
1036 | 1036 | |
|
|
1037 | 1037 | self.flagDiscontinuousBlock = 0 |
|
|
1038 | 1038 | |
|
|
1039 | 1039 | if deltaTime > self.maxTimeStep: |
|
|
1040 | 1040 | self.flagDiscontinuousBlock = 1 |
|
|
1041 | 1041 | |
|
|
1042 | 1042 | return 1 |
|
|
1043 | 1043 | |
|
|
1044 | 1044 | def readNextBlock(self): |
|
|
1045 | 1045 | |
|
|
1046 | 1046 | #Skip block out of startTime and endTime |
|
|
1047 | 1047 | while True: |
|
|
1048 | 1048 | print 'cxxxx' |
|
|
1049 | 1049 | if not(self.__setNewBlock()): |
|
|
1050 | 1050 | print 'returning' |
|
|
1051 | 1051 | return 0 |
|
|
1052 | 1052 | print 'dxxx' |
|
|
1053 | 1053 | if not(self.readBlock()): |
|
|
1054 | 1054 | return 0 |
|
|
1055 | 1055 | |
|
|
1056 | 1056 | self.getBasicHeader() |
|
|
1057 | 1057 | |
|
|
1058 | 1058 | if not isTimeInRange(self.dataOut.datatime.time(), self.startTime, self.endTime): |
|
|
1059 | 1059 | |
|
|
1060 | 1060 | print "[Reading] Block No. %d/%d -> %s [Skipping]" %(self.nReadBlocks, |
|
|
1061 | 1061 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
1062 | 1062 | self.dataOut.datatime.ctime()) |
|
|
1063 | 1063 | continue |
|
|
1064 | 1064 | |
|
|
1065 | 1065 | break |
|
|
1066 | 1066 | |
|
|
1067 | 1067 | if self.verbose: |
|
|
1068 | 1068 | print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, |
|
|
1069 | 1069 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
1070 | 1070 | self.dataOut.datatime.ctime()) |
|
|
1071 | 1071 | return 1 |
|
|
1072 | 1072 | |
|
|
1073 | 1073 | def __readFirstHeader(self): |
|
|
1074 | 1074 | |
|
|
1075 | 1075 | self.basicHeaderObj.read(self.fp) |
|
|
1076 | 1076 | self.systemHeaderObj.read(self.fp) |
|
|
1077 | 1077 | self.radarControllerHeaderObj.read(self.fp) |
|
|
1078 | 1078 | self.processingHeaderObj.read(self.fp) |
|
|
1079 | 1079 | |
|
|
1080 | 1080 | self.firstHeaderSize = self.basicHeaderObj.size |
|
|
1081 | 1081 | |
|
|
1082 | 1082 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) |
|
|
1083 | 1083 | if datatype == 0: |
|
|
1084 | 1084 | datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
|
1085 | 1085 | elif datatype == 1: |
|
|
1086 | 1086 | datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
|
1087 | 1087 | elif datatype == 2: |
|
|
1088 | 1088 | datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
|
1089 | 1089 | elif datatype == 3: |
|
|
1090 | 1090 | datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
|
1091 | 1091 | elif datatype == 4: |
|
|
1092 | 1092 | datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
|
1093 | 1093 | elif datatype == 5: |
|
|
1094 | 1094 | datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
|
1095 | 1095 | else: |
|
|
1096 | 1096 | raise ValueError, 'Data type was not defined' |
|
|
1097 | 1097 | |
|
|
1098 | 1098 | self.dtype = datatype_str |
|
|
1099 | 1099 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c |
|
|
1100 | 1100 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1) |
|
|
1101 | 1101 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
1102 | 1102 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) |
|
|
1103 | 1103 | self.getBlockDimension() |
|
|
1104 | 1104 | |
|
|
1105 | 1105 | def __verifyFile(self, filename, msgFlag=True): |
|
|
1106 | 1106 | |
|
|
1107 | 1107 | msg = None |
|
|
1108 | 1108 | |
|
|
1109 | 1109 | try: |
|
|
1110 | 1110 | fp = open(filename, 'rb') |
|
|
1111 | 1111 | except IOError: |
|
|
1112 | 1112 | |
|
|
1113 | 1113 | if msgFlag: |
|
|
1114 | 1114 | print "[Reading] File %s can't be opened" % (filename) |
|
|
1115 | 1115 | |
|
|
1116 | 1116 | return False |
|
|
1117 | 1117 | |
|
|
1118 | 1118 | currentPosition = fp.tell() |
|
|
1119 | 1119 | neededSize = self.processingHeaderObj.blockSize + self.firstHeaderSize |
|
|
1120 | 1120 | |
|
|
1121 | 1121 | if neededSize == 0: |
|
|
1122 | 1122 | basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
1123 | 1123 | systemHeaderObj = SystemHeader() |
|
|
1124 | 1124 | radarControllerHeaderObj = RadarControllerHeader() |
|
|
1125 | 1125 | processingHeaderObj = ProcessingHeader() |
|
|
1126 | 1126 | |
|
|
1127 | 1127 | if not( basicHeaderObj.read(fp) ): |
|
|
1128 | 1128 | fp.close() |
|
|
1129 | 1129 | return False |
|
|
1130 | 1130 | |
|
|
1131 | 1131 | if not( systemHeaderObj.read(fp) ): |
|
|
1132 | 1132 | fp.close() |
|
|
1133 | 1133 | return False |
|
|
1134 | 1134 | |
|
|
1135 | 1135 | if not( radarControllerHeaderObj.read(fp) ): |
|
|
1136 | 1136 | fp.close() |
|
|
1137 | 1137 | return False |
|
|
1138 | 1138 | |
|
|
1139 | 1139 | if not( processingHeaderObj.read(fp) ): |
|
|
1140 | 1140 | fp.close() |
|
|
1141 | 1141 | return False |
|
|
1142 | 1142 | |
|
|
1143 | 1143 | neededSize = processingHeaderObj.blockSize + basicHeaderObj.size |
|
|
1144 | 1144 | else: |
|
|
1145 | 1145 | msg = "[Reading] Skipping the file %s due to it hasn't enough data" %filename |
|
|
1146 | 1146 | |
|
|
1147 | 1147 | fp.close() |
|
|
1148 | 1148 | |
|
|
1149 | 1149 | fileSize = os.path.getsize(filename) |
|
|
1150 | 1150 | currentSize = fileSize - currentPosition |
|
|
1151 | 1151 | |
|
|
1152 | 1152 | if currentSize < neededSize: |
|
|
1153 | 1153 | if msgFlag and (msg != None): |
|
|
1154 | 1154 | print msg |
|
|
1155 | 1155 | return False |
|
|
1156 | 1156 | |
|
|
1157 | 1157 | return True |
|
|
1158 | 1158 | |
|
|
1159 | 1159 | def findDatafiles(self, path, startDate=None, endDate=None, expLabel='', ext='.r', walk=True, include_path=False): |
|
|
1160 | 1160 | |
|
|
1161 | 1161 | path_empty = True |
|
|
1162 | 1162 | |
|
|
1163 | 1163 | dateList = [] |
|
|
1164 | 1164 | pathList = [] |
|
|
1165 | 1165 | |
|
|
1166 | 1166 | multi_path = path.split(',') |
|
|
1167 | 1167 | |
|
|
1168 | 1168 | if not walk: |
|
|
1169 | 1169 | |
|
|
1170 | 1170 | for single_path in multi_path: |
|
|
1171 | 1171 | |
|
|
1172 | 1172 | if not os.path.isdir(single_path): |
|
|
1173 | 1173 | continue |
|
|
1174 | 1174 | |
|
|
1175 | 1175 | fileList = glob.glob1(single_path, "*"+ext) |
|
|
1176 | 1176 | |
|
|
1177 | 1177 | if not fileList: |
|
|
1178 | 1178 | continue |
|
|
1179 | 1179 | |
|
|
1180 | 1180 | path_empty = False |
|
|
1181 | 1181 | |
|
|
1182 | 1182 | fileList.sort() |
|
|
1183 | 1183 | |
|
|
1184 | 1184 | for thisFile in fileList: |
|
|
1185 | 1185 | |
|
|
1186 | 1186 | if not os.path.isfile(os.path.join(single_path, thisFile)): |
|
|
1187 | 1187 | continue |
|
|
1188 | 1188 | |
|
|
1189 | 1189 | if not isRadarFile(thisFile): |
|
|
1190 | 1190 | continue |
|
|
1191 | 1191 | |
|
|
1192 | 1192 | if not isFileInDateRange(thisFile, startDate, endDate): |
|
|
1193 | 1193 | continue |
|
|
1194 | 1194 | |
|
|
1195 | 1195 | thisDate = getDateFromRadarFile(thisFile) |
|
|
1196 | 1196 | |
|
|
1197 | 1197 | if thisDate in dateList: |
|
|
1198 | 1198 | continue |
|
|
1199 | 1199 | |
|
|
1200 | 1200 | dateList.append(thisDate) |
|
|
1201 | 1201 | pathList.append(single_path) |
|
|
1202 | 1202 | |
|
|
1203 | 1203 | else: |
|
|
1204 | 1204 | for single_path in multi_path: |
|
|
1205 | 1205 | |
|
|
1206 | 1206 | if not os.path.isdir(single_path): |
|
|
1207 | 1207 | continue |
|
|
1208 | 1208 | |
|
|
1209 | 1209 | dirList = [] |
|
|
1210 | 1210 | |
|
|
1211 | 1211 | for thisPath in os.listdir(single_path): |
|
|
1212 | 1212 | |
|
|
1213 | 1213 | if not os.path.isdir(os.path.join(single_path,thisPath)): |
|
|
1214 | 1214 | continue |
|
|
1215 | 1215 | |
|
|
1216 | 1216 | if not isRadarFolder(thisPath): |
|
|
1217 | 1217 | continue |
|
|
1218 | 1218 | |
|
|
1219 | 1219 | if not isFolderInDateRange(thisPath, startDate, endDate): |
|
|
1220 | 1220 | continue |
|
|
1221 | 1221 | |
|
|
1222 | 1222 | dirList.append(thisPath) |
|
|
1223 | 1223 | |
|
|
1224 | 1224 | if not dirList: |
|
|
1225 | 1225 | continue |
|
|
1226 | 1226 | |
|
|
1227 | 1227 | dirList.sort() |
|
|
1228 | 1228 | |
|
|
1229 | 1229 | for thisDir in dirList: |
|
|
1230 | 1230 | |
|
|
1231 | 1231 | datapath = os.path.join(single_path, thisDir, expLabel) |
|
|
1232 | 1232 | fileList = glob.glob1(datapath, "*"+ext) |
|
|
1233 | 1233 | |
|
|
1234 | 1234 | if not fileList: |
|
|
1235 | 1235 | continue |
|
|
1236 | 1236 | |
|
|
1237 | 1237 | path_empty = False |
|
|
1238 | 1238 | |
|
|
1239 | 1239 | thisDate = getDateFromRadarFolder(thisDir) |
|
|
1240 | 1240 | |
|
|
1241 | 1241 | pathList.append(datapath) |
|
|
1242 | 1242 | dateList.append(thisDate) |
|
|
1243 | 1243 | |
|
|
1244 | 1244 | dateList.sort() |
|
|
1245 | 1245 | |
|
|
1246 | 1246 | if walk: |
|
|
1247 | 1247 | pattern_path = os.path.join(multi_path[0], "[dYYYYDDD]", expLabel) |
|
|
1248 | 1248 | else: |
|
|
1249 | 1249 | pattern_path = multi_path[0] |
|
|
1250 | 1250 | |
|
|
1251 | 1251 | if path_empty: |
|
|
1252 | 1252 | print "[Reading] No *%s files in %s for %s to %s" %(ext, pattern_path, startDate, endDate) |
|
|
1253 | 1253 | else: |
|
|
1254 | 1254 | if not dateList: |
|
|
1255 | 1255 | print "[Reading] Date range selected invalid [%s - %s]: No *%s files in %s)" %(startDate, endDate, ext, path) |
|
|
1256 | 1256 | |
|
|
1257 | 1257 | if include_path: |
|
|
1258 | 1258 | return dateList, pathList |
|
|
1259 | 1259 | |
|
|
1260 | 1260 | return dateList |
|
|
1261 | 1261 | |
|
|
1262 | 1262 | def setup(self, |
|
|
1263 | 1263 | path=None, |
|
|
1264 | 1264 | startDate=None, |
|
|
1265 | 1265 | endDate=None, |
|
|
1266 | 1266 | startTime=datetime.time(0,0,0), |
|
|
1267 | 1267 | endTime=datetime.time(23,59,59), |
|
|
1268 | 1268 | set=None, |
|
|
1269 | 1269 | expLabel = "", |
|
|
1270 | 1270 | ext = None, |
|
|
1271 | 1271 | online = False, |
|
|
1272 | 1272 | delay = 60, |
|
|
1273 | 1273 | walk = True, |
|
|
1274 | 1274 | getblock = False, |
|
|
1275 | 1275 | nTxs = 1, |
|
|
1276 | 1276 | realtime=False, |
|
|
1277 | 1277 | blocksize=None, |
|
|
1278 | 1278 | blocktime=None, |
|
|
1279 | 1279 | queue=None, |
|
|
1280 | 1280 | skip=None, |
|
|
1281 | 1281 | cursor=None, |
|
|
1282 | 1282 | warnings=True, |
|
|
1283 | 1283 | verbose=True, |
|
|
1284 | 1284 | server=None): |
|
|
1285 | 1285 | if server is not None: |
|
|
1286 | 1286 | if 'tcp://' in server: |
|
|
1287 | 1287 | address = server |
|
|
1288 | 1288 | else: |
|
|
1289 | 1289 | address = 'ipc:///tmp/%s' % server |
|
|
1290 | 1290 | self.server = address |
|
|
1291 | 1291 | self.context = zmq.Context() |
|
|
1292 | 1292 | self.receiver = self.context.socket(zmq.PULL) |
|
|
1293 |
self.receiver. |
|
|
|
1293 | self.receiver.connect(self.server) | |
|
|
1294 | 1294 | time.sleep(0.5) |
|
|
1295 | 1295 | print '[Starting] ReceiverData from {}'.format(self.server) |
|
|
1296 | 1296 | else: |
|
|
1297 | 1297 | self.server = None |
|
|
1298 | 1298 | if path == None: |
|
|
1299 | 1299 | raise ValueError, "[Reading] The path is not valid" |
|
|
1300 | 1300 | |
|
|
1301 | 1301 | if ext == None: |
|
|
1302 | 1302 | ext = self.ext |
|
|
1303 | 1303 | |
|
|
1304 | 1304 | if online: |
|
|
1305 | 1305 | print "[Reading] Searching files in online mode..." |
|
|
1306 | 1306 | |
|
|
1307 | 1307 | for nTries in range( self.nTries ): |
|
|
1308 | 1308 | fullpath, foldercounter, file, year, doy, set = self.__searchFilesOnLine(path=path, expLabel=expLabel, ext=ext, walk=walk, set=set) |
|
|
1309 | 1309 | |
|
|
1310 | 1310 | if fullpath: |
|
|
1311 | 1311 | break |
|
|
1312 | 1312 | |
|
|
1313 | 1313 | print '[Reading] Waiting %0.2f sec for an valid file in %s: try %02d ...' % (self.delay, path, nTries+1) |
|
|
1314 | 1314 | sleep( self.delay ) |
|
|
1315 | 1315 | |
|
|
1316 | 1316 | if not(fullpath): |
|
|
1317 | 1317 | print "[Reading] There 'isn't any valid file in %s" % path |
|
|
1318 | 1318 | return |
|
|
1319 | 1319 | |
|
|
1320 | 1320 | self.year = year |
|
|
1321 | 1321 | self.doy = doy |
|
|
1322 | 1322 | self.set = set - 1 |
|
|
1323 | 1323 | self.path = path |
|
|
1324 | 1324 | self.foldercounter = foldercounter |
|
|
1325 | 1325 | last_set = None |
|
|
1326 | 1326 | else: |
|
|
1327 | 1327 | print "[Reading] Searching files in offline mode ..." |
|
|
1328 | 1328 | pathList, filenameList = self.__searchFilesOffLine(path, startDate=startDate, endDate=endDate, |
|
|
1329 | 1329 | startTime=startTime, endTime=endTime, |
|
|
1330 | 1330 | set=set, expLabel=expLabel, ext=ext, |
|
|
1331 | 1331 | walk=walk, cursor=cursor, |
|
|
1332 | 1332 | skip=skip, queue=queue) |
|
|
1333 | 1333 | |
|
|
1334 | 1334 | if not(pathList): |
|
|
1335 | 1335 | # print "[Reading] No *%s files in %s (%s - %s)"%(ext, path, |
|
|
1336 | 1336 | # datetime.datetime.combine(startDate,startTime).ctime(), |
|
|
1337 | 1337 | # datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
1338 | 1338 | |
|
|
1339 | 1339 | # sys.exit(-1) |
|
|
1340 | 1340 | |
|
|
1341 | 1341 | self.fileIndex = -1 |
|
|
1342 | 1342 | self.pathList = [] |
|
|
1343 | 1343 | self.filenameList = [] |
|
|
1344 | 1344 | return |
|
|
1345 | 1345 | |
|
|
1346 | 1346 | self.fileIndex = -1 |
|
|
1347 | 1347 | self.pathList = pathList |
|
|
1348 | 1348 | self.filenameList = filenameList |
|
|
1349 | 1349 | file_name = os.path.basename(filenameList[-1]) |
|
|
1350 | 1350 | basename, ext = os.path.splitext(file_name) |
|
|
1351 | 1351 | last_set = int(basename[-3:]) |
|
|
1352 | 1352 | |
|
|
1353 | 1353 | self.online = online |
|
|
1354 | 1354 | self.realtime = realtime |
|
|
1355 | 1355 | self.delay = delay |
|
|
1356 | 1356 | ext = ext.lower() |
|
|
1357 | 1357 | self.ext = ext |
|
|
1358 | 1358 | self.getByBlock = getblock |
|
|
1359 | 1359 | self.nTxs = nTxs |
|
|
1360 | 1360 | self.startTime = startTime |
|
|
1361 | 1361 | self.endTime = endTime |
|
|
1362 | 1362 | |
|
|
1363 | 1363 | #Added----------------- |
|
|
1364 | 1364 | self.selBlocksize = blocksize |
|
|
1365 | 1365 | self.selBlocktime = blocktime |
|
|
1366 | 1366 | |
|
|
1367 | 1367 | # Verbose----------- |
|
|
1368 | 1368 | self.verbose = verbose |
|
|
1369 | 1369 | self.warnings = warnings |
|
|
1370 | 1370 | |
|
|
1371 | 1371 | if not(self.setNextFile()): |
|
|
1372 | 1372 | if (startDate!=None) and (endDate!=None): |
|
|
1373 | 1373 | print "[Reading] No files in range: %s - %s" %(datetime.datetime.combine(startDate,startTime).ctime(), datetime.datetime.combine(endDate,endTime).ctime()) |
|
|
1374 | 1374 | elif startDate != None: |
|
|
1375 | 1375 | print "[Reading] No files in range: %s" %(datetime.datetime.combine(startDate,startTime).ctime()) |
|
|
1376 | 1376 | else: |
|
|
1377 | 1377 | print "[Reading] No files" |
|
|
1378 | 1378 | |
|
|
1379 | 1379 | self.fileIndex = -1 |
|
|
1380 | 1380 | self.pathList = [] |
|
|
1381 | 1381 | self.filenameList = [] |
|
|
1382 | 1382 | return |
|
|
1383 | 1383 | |
|
|
1384 | 1384 | # self.getBasicHeader() |
|
|
1385 | 1385 | |
|
|
1386 | 1386 | if last_set != None: |
|
|
1387 | 1387 | self.dataOut.last_block = last_set * self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock |
|
|
1388 | 1388 | return |
|
|
1389 | 1389 | |
|
|
1390 | 1390 | def getBasicHeader(self): |
|
|
1391 | 1391 | |
|
|
1392 | 1392 | self.dataOut.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.radarControllerHeaderObj.ippSeconds |
|
|
1393 | 1393 | |
|
|
1394 | 1394 | self.dataOut.flagDiscontinuousBlock = self.flagDiscontinuousBlock |
|
|
1395 | 1395 | |
|
|
1396 | 1396 | self.dataOut.timeZone = self.basicHeaderObj.timeZone |
|
|
1397 | 1397 | |
|
|
1398 | 1398 | self.dataOut.dstFlag = self.basicHeaderObj.dstFlag |
|
|
1399 | 1399 | |
|
|
1400 | 1400 | self.dataOut.errorCount = self.basicHeaderObj.errorCount |
|
|
1401 | 1401 | |
|
|
1402 | 1402 | self.dataOut.useLocalTime = self.basicHeaderObj.useLocalTime |
|
|
1403 | 1403 | |
|
|
1404 | 1404 | self.dataOut.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs |
|
|
1405 | 1405 | |
|
|
1406 | 1406 | # self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs |
|
|
1407 | 1407 | |
|
|
1408 | 1408 | |
|
|
1409 | 1409 | def getFirstHeader(self): |
|
|
1410 | 1410 | |
|
|
1411 | 1411 | raise NotImplementedError |
|
|
1412 | 1412 | |
|
|
1413 | 1413 | def getData(self): |
|
|
1414 | 1414 | |
|
|
1415 | 1415 | raise NotImplementedError |
|
|
1416 | 1416 | |
|
|
1417 | 1417 | def hasNotDataInBuffer(self): |
|
|
1418 | 1418 | |
|
|
1419 | 1419 | raise NotImplementedError |
|
|
1420 | 1420 | |
|
|
1421 | 1421 | def readBlock(self): |
|
|
1422 | 1422 | |
|
|
1423 | 1423 | raise NotImplementedError |
|
|
1424 | 1424 | |
|
|
1425 | 1425 | def isEndProcess(self): |
|
|
1426 | 1426 | |
|
|
1427 | 1427 | return self.flagNoMoreFiles |
|
|
1428 | 1428 | |
|
|
1429 | 1429 | def printReadBlocks(self): |
|
|
1430 | 1430 | |
|
|
1431 | 1431 | print "[Reading] Number of read blocks per file %04d" %self.nReadBlocks |
|
|
1432 | 1432 | |
|
|
1433 | 1433 | def printTotalBlocks(self): |
|
|
1434 | 1434 | |
|
|
1435 | 1435 | print "[Reading] Number of read blocks %04d" %self.nTotalBlocks |
|
|
1436 | 1436 | |
|
|
1437 | 1437 | def printNumberOfBlock(self): |
|
|
1438 | 1438 | |
|
|
1439 | 1439 | if self.flagIsNewBlock: |
|
|
1440 | 1440 | print "[Reading] Block No. %d/%d -> %s" %(self.nReadBlocks, |
|
|
1441 | 1441 | self.processingHeaderObj.dataBlocksPerFile, |
|
|
1442 | 1442 | self.dataOut.datatime.ctime()) |
|
|
1443 | 1443 | |
|
|
1444 | 1444 | def printInfo(self): |
|
|
1445 | 1445 | |
|
|
1446 | 1446 | if self.__printInfo == False: |
|
|
1447 | 1447 | return |
|
|
1448 | 1448 | |
|
|
1449 | 1449 | self.basicHeaderObj.printInfo() |
|
|
1450 | 1450 | self.systemHeaderObj.printInfo() |
|
|
1451 | 1451 | self.radarControllerHeaderObj.printInfo() |
|
|
1452 | 1452 | self.processingHeaderObj.printInfo() |
|
|
1453 | 1453 | |
|
|
1454 | 1454 | self.__printInfo = False |
|
|
1455 | 1455 | |
|
|
1456 | 1456 | |
|
|
1457 | 1457 | def run(self, |
|
|
1458 | 1458 | path=None, |
|
|
1459 | 1459 | startDate=None, |
|
|
1460 | 1460 | endDate=None, |
|
|
1461 | 1461 | startTime=datetime.time(0,0,0), |
|
|
1462 | 1462 | endTime=datetime.time(23,59,59), |
|
|
1463 | 1463 | set=None, |
|
|
1464 | 1464 | expLabel = "", |
|
|
1465 | 1465 | ext = None, |
|
|
1466 | 1466 | online = False, |
|
|
1467 | 1467 | delay = 60, |
|
|
1468 | 1468 | walk = True, |
|
|
1469 | 1469 | getblock = False, |
|
|
1470 | 1470 | nTxs = 1, |
|
|
1471 | 1471 | realtime=False, |
|
|
1472 | 1472 | blocksize=None, |
|
|
1473 | 1473 | blocktime=None, |
|
|
1474 | 1474 | queue=None, |
|
|
1475 | 1475 | skip=None, |
|
|
1476 | 1476 | cursor=None, |
|
|
1477 | 1477 | warnings=True, |
|
|
1478 | 1478 | server=None, |
|
|
1479 | 1479 | verbose=True, **kwargs): |
|
|
1480 | 1480 | |
|
|
1481 | 1481 | if not(self.isConfig): |
|
|
1482 | 1482 | # self.dataOut = dataOut |
|
|
1483 | 1483 | self.setup( path=path, |
|
|
1484 | 1484 | startDate=startDate, |
|
|
1485 | 1485 | endDate=endDate, |
|
|
1486 | 1486 | startTime=startTime, |
|
|
1487 | 1487 | endTime=endTime, |
|
|
1488 | 1488 | set=set, |
|
|
1489 | 1489 | expLabel=expLabel, |
|
|
1490 | 1490 | ext=ext, |
|
|
1491 | 1491 | online=online, |
|
|
1492 | 1492 | delay=delay, |
|
|
1493 | 1493 | walk=walk, |
|
|
1494 | 1494 | getblock=getblock, |
|
|
1495 | 1495 | nTxs=nTxs, |
|
|
1496 | 1496 | realtime=realtime, |
|
|
1497 | 1497 | blocksize=blocksize, |
|
|
1498 | 1498 | blocktime=blocktime, |
|
|
1499 | 1499 | queue=queue, |
|
|
1500 | 1500 | skip=skip, |
|
|
1501 | 1501 | cursor=cursor, |
|
|
1502 | 1502 | warnings=warnings, |
|
|
1503 | 1503 | server=server, |
|
|
1504 | 1504 | verbose=verbose) |
|
|
1505 | 1505 | self.isConfig = True |
|
|
1506 | print 'hola' | |
|
|
1507 | self.getData() | |
|
|
1506 | if server is None: | |
|
|
1507 | self.getData() | |
|
|
1508 | else: | |
|
|
1509 | self.getFromServer() | |
|
|
1508 | 1510 | |
|
|
1509 | 1511 | class JRODataWriter(JRODataIO): |
|
|
1510 | 1512 | |
|
|
1511 | 1513 | """ |
|
|
1512 | 1514 | Esta clase permite escribir datos a archivos procesados (.r o ,pdata). La escritura |
|
|
1513 | 1515 | de los datos siempre se realiza por bloques. |
|
|
1514 | 1516 | """ |
|
|
1515 | 1517 | |
|
|
1516 | 1518 | blockIndex = 0 |
|
|
1517 | 1519 | |
|
|
1518 | 1520 | path = None |
|
|
1519 | 1521 | |
|
|
1520 | 1522 | setFile = None |
|
|
1521 | 1523 | |
|
|
1522 | 1524 | profilesPerBlock = None |
|
|
1523 | 1525 | |
|
|
1524 | 1526 | blocksPerFile = None |
|
|
1525 | 1527 | |
|
|
1526 | 1528 | nWriteBlocks = 0 |
|
|
1527 | 1529 | |
|
|
1528 | 1530 | fileDate = None |
|
|
1529 | 1531 | |
|
|
1530 | 1532 | def __init__(self, dataOut=None): |
|
|
1531 | 1533 | raise NotImplementedError |
|
|
1532 | 1534 | |
|
|
1533 | 1535 | |
|
|
1534 | 1536 | def hasAllDataInBuffer(self): |
|
|
1535 | 1537 | raise NotImplementedError |
|
|
1536 | 1538 | |
|
|
1537 | 1539 | |
|
|
1538 | 1540 | def setBlockDimension(self): |
|
|
1539 | 1541 | raise NotImplementedError |
|
|
1540 | 1542 | |
|
|
1541 | 1543 | |
|
|
1542 | 1544 | def writeBlock(self): |
|
|
1543 | 1545 | raise NotImplementedError |
|
|
1544 | 1546 | |
|
|
1545 | 1547 | |
|
|
1546 | 1548 | def putData(self): |
|
|
1547 | 1549 | raise NotImplementedError |
|
|
1548 | 1550 | |
|
|
1549 | 1551 | |
|
|
1550 | 1552 | def getProcessFlags(self): |
|
|
1551 | 1553 | |
|
|
1552 | 1554 | processFlags = 0 |
|
|
1553 | 1555 | |
|
|
1554 | 1556 | dtype_index = get_dtype_index(self.dtype) |
|
|
1555 | 1557 | procflag_dtype = get_procflag_dtype(dtype_index) |
|
|
1556 | 1558 | |
|
|
1557 | 1559 | processFlags += procflag_dtype |
|
|
1558 | 1560 | |
|
|
1559 | 1561 | if self.dataOut.flagDecodeData: |
|
|
1560 | 1562 | processFlags += PROCFLAG.DECODE_DATA |
|
|
1561 | 1563 | |
|
|
1562 | 1564 | if self.dataOut.flagDeflipData: |
|
|
1563 | 1565 | processFlags += PROCFLAG.DEFLIP_DATA |
|
|
1564 | 1566 | |
|
|
1565 | 1567 | if self.dataOut.code is not None: |
|
|
1566 | 1568 | processFlags += PROCFLAG.DEFINE_PROCESS_CODE |
|
|
1567 | 1569 | |
|
|
1568 | 1570 | if self.dataOut.nCohInt > 1: |
|
|
1569 | 1571 | processFlags += PROCFLAG.COHERENT_INTEGRATION |
|
|
1570 | 1572 | |
|
|
1571 | 1573 | if self.dataOut.type == "Spectra": |
|
|
1572 | 1574 | if self.dataOut.nIncohInt > 1: |
|
|
1573 | 1575 | processFlags += PROCFLAG.INCOHERENT_INTEGRATION |
|
|
1574 | 1576 | |
|
|
1575 | 1577 | if self.dataOut.data_dc is not None: |
|
|
1576 | 1578 | processFlags += PROCFLAG.SAVE_CHANNELS_DC |
|
|
1577 | 1579 | |
|
|
1578 | 1580 | if self.dataOut.flagShiftFFT: |
|
|
1579 | 1581 | processFlags += PROCFLAG.SHIFT_FFT_DATA |
|
|
1580 | 1582 | |
|
|
1581 | 1583 | return processFlags |
|
|
1582 | 1584 | |
|
|
1583 | 1585 | def setBasicHeader(self): |
|
|
1584 | 1586 | |
|
|
1585 | 1587 | self.basicHeaderObj.size = self.basicHeaderSize #bytes |
|
|
1586 | 1588 | self.basicHeaderObj.version = self.versionFile |
|
|
1587 | 1589 | self.basicHeaderObj.dataBlock = self.nTotalBlocks |
|
|
1588 | 1590 | |
|
|
1589 | 1591 | utc = numpy.floor(self.dataOut.utctime) |
|
|
1590 | 1592 | milisecond = (self.dataOut.utctime - utc)* 1000.0 |
|
|
1591 | 1593 | |
|
|
1592 | 1594 | self.basicHeaderObj.utc = utc |
|
|
1593 | 1595 | self.basicHeaderObj.miliSecond = milisecond |
|
|
1594 | 1596 | self.basicHeaderObj.timeZone = self.dataOut.timeZone |
|
|
1595 | 1597 | self.basicHeaderObj.dstFlag = self.dataOut.dstFlag |
|
|
1596 | 1598 | self.basicHeaderObj.errorCount = self.dataOut.errorCount |
|
|
1597 | 1599 | |
|
|
1598 | 1600 | def setFirstHeader(self): |
|
|
1599 | 1601 | """ |
|
|
1600 | 1602 | Obtiene una copia del First Header |
|
|
1601 | 1603 | |
|
|
1602 | 1604 | Affected: |
|
|
1603 | 1605 | |
|
|
1604 | 1606 | self.basicHeaderObj |
|
|
1605 | 1607 | self.systemHeaderObj |
|
|
1606 | 1608 | self.radarControllerHeaderObj |
|
|
1607 | 1609 | self.processingHeaderObj self. |
|
|
1608 | 1610 | |
|
|
1609 | 1611 | Return: |
|
|
1610 | 1612 | None |
|
|
1611 | 1613 | """ |
|
|
1612 | 1614 | |
|
|
1613 | 1615 | raise NotImplementedError |
|
|
1614 | 1616 | |
|
|
1615 | 1617 | def __writeFirstHeader(self): |
|
|
1616 | 1618 | """ |
|
|
1617 | 1619 | Escribe el primer header del file es decir el Basic header y el Long header (SystemHeader, RadarControllerHeader, ProcessingHeader) |
|
|
1618 | 1620 | |
|
|
1619 | 1621 | Affected: |
|
|
1620 | 1622 | __dataType |
|
|
1621 | 1623 | |
|
|
1622 | 1624 | Return: |
|
|
1623 | 1625 | None |
|
|
1624 | 1626 | """ |
|
|
1625 | 1627 | |
|
|
1626 | 1628 | # CALCULAR PARAMETROS |
|
|
1627 | 1629 | |
|
|
1628 | 1630 | sizeLongHeader = self.systemHeaderObj.size + self.radarControllerHeaderObj.size + self.processingHeaderObj.size |
|
|
1629 | 1631 | self.basicHeaderObj.size = self.basicHeaderSize + sizeLongHeader |
|
|
1630 | 1632 | |
|
|
1631 | 1633 | self.basicHeaderObj.write(self.fp) |
|
|
1632 | 1634 | self.systemHeaderObj.write(self.fp) |
|
|
1633 | 1635 | self.radarControllerHeaderObj.write(self.fp) |
|
|
1634 | 1636 | self.processingHeaderObj.write(self.fp) |
|
|
1635 | 1637 | |
|
|
1636 | 1638 | def __setNewBlock(self): |
|
|
1637 | 1639 | """ |
|
|
1638 | 1640 | Si es un nuevo file escribe el First Header caso contrario escribe solo el Basic Header |
|
|
1639 | 1641 | |
|
|
1640 | 1642 | Return: |
|
|
1641 | 1643 | 0 : si no pudo escribir nada |
|
|
1642 | 1644 | 1 : Si escribio el Basic el First Header |
|
|
1643 | 1645 | """ |
|
|
1644 | 1646 | if self.fp == None: |
|
|
1645 | 1647 | self.setNextFile() |
|
|
1646 | 1648 | |
|
|
1647 | 1649 | if self.flagIsNewFile: |
|
|
1648 | 1650 | return 1 |
|
|
1649 | 1651 | |
|
|
1650 | 1652 | if self.blockIndex < self.processingHeaderObj.dataBlocksPerFile: |
|
|
1651 | 1653 | self.basicHeaderObj.write(self.fp) |
|
|
1652 | 1654 | return 1 |
|
|
1653 | 1655 | |
|
|
1654 | 1656 | if not( self.setNextFile() ): |
|
|
1655 | 1657 | return 0 |
|
|
1656 | 1658 | |
|
|
1657 | 1659 | return 1 |
|
|
1658 | 1660 | |
|
|
1659 | 1661 | |
|
|
1660 | 1662 | def writeNextBlock(self): |
|
|
1661 | 1663 | """ |
|
|
1662 | 1664 | Selecciona el bloque siguiente de datos y los escribe en un file |
|
|
1663 | 1665 | |
|
|
1664 | 1666 | Return: |
|
|
1665 | 1667 | 0 : Si no hizo pudo escribir el bloque de datos |
|
|
1666 | 1668 | 1 : Si no pudo escribir el bloque de datos |
|
|
1667 | 1669 | """ |
|
|
1668 | 1670 | if not( self.__setNewBlock() ): |
|
|
1669 | 1671 | return 0 |
|
|
1670 | 1672 | |
|
|
1671 | 1673 | self.writeBlock() |
|
|
1672 | 1674 | |
|
|
1673 | 1675 | print "[Writing] Block No. %d/%d" %(self.blockIndex, |
|
|
1674 | 1676 | self.processingHeaderObj.dataBlocksPerFile) |
|
|
1675 | 1677 | |
|
|
1676 | 1678 | return 1 |
|
|
1677 | 1679 | |
|
|
1678 | 1680 | def setNextFile(self): |
|
|
1679 | 1681 | """ |
|
|
1680 | 1682 | Determina el siguiente file que sera escrito |
|
|
1681 | 1683 | |
|
|
1682 | 1684 | Affected: |
|
|
1683 | 1685 | self.filename |
|
|
1684 | 1686 | self.subfolder |
|
|
1685 | 1687 | self.fp |
|
|
1686 | 1688 | self.setFile |
|
|
1687 | 1689 | self.flagIsNewFile |
|
|
1688 | 1690 | |
|
|
1689 | 1691 | Return: |
|
|
1690 | 1692 | 0 : Si el archivo no puede ser escrito |
|
|
1691 | 1693 | 1 : Si el archivo esta listo para ser escrito |
|
|
1692 | 1694 | """ |
|
|
1693 | 1695 | ext = self.ext |
|
|
1694 | 1696 | path = self.path |
|
|
1695 | 1697 | |
|
|
1696 | 1698 | if self.fp != None: |
|
|
1697 | 1699 | self.fp.close() |
|
|
1698 | 1700 | |
|
|
1699 | 1701 | timeTuple = time.localtime( self.dataOut.utctime) |
|
|
1700 | 1702 | subfolder = 'd%4.4d%3.3d' % (timeTuple.tm_year,timeTuple.tm_yday) |
|
|
1701 | 1703 | |
|
|
1702 | 1704 | fullpath = os.path.join( path, subfolder ) |
|
|
1703 | 1705 | setFile = self.setFile |
|
|
1704 | 1706 | |
|
|
1705 | 1707 | if not( os.path.exists(fullpath) ): |
|
|
1706 | 1708 | os.mkdir(fullpath) |
|
|
1707 | 1709 | setFile = -1 #inicializo mi contador de seteo |
|
|
1708 | 1710 | else: |
|
|
1709 | 1711 | filesList = os.listdir( fullpath ) |
|
|
1710 | 1712 | if len( filesList ) > 0: |
|
|
1711 | 1713 | filesList = sorted( filesList, key=str.lower ) |
|
|
1712 | 1714 | filen = filesList[-1] |
|
|
1713 | 1715 | # el filename debera tener el siguiente formato |
|
|
1714 | 1716 | # 0 1234 567 89A BCDE (hex) |
|
|
1715 | 1717 | # x YYYY DDD SSS .ext |
|
|
1716 | 1718 | if isNumber( filen[8:11] ): |
|
|
1717 | 1719 | setFile = int( filen[8:11] ) #inicializo mi contador de seteo al seteo del ultimo file |
|
|
1718 | 1720 | else: |
|
|
1719 | 1721 | setFile = -1 |
|
|
1720 | 1722 | else: |
|
|
1721 | 1723 | setFile = -1 #inicializo mi contador de seteo |
|
|
1722 | 1724 | |
|
|
1723 | 1725 | setFile += 1 |
|
|
1724 | 1726 | |
|
|
1725 | 1727 | #If this is a new day it resets some values |
|
|
1726 | 1728 | if self.dataOut.datatime.date() > self.fileDate: |
|
|
1727 | 1729 | setFile = 0 |
|
|
1728 | 1730 | self.nTotalBlocks = 0 |
|
|
1729 | 1731 | |
|
|
1730 | 1732 | filen = '%s%4.4d%3.3d%3.3d%s' % (self.optchar, timeTuple.tm_year, timeTuple.tm_yday, setFile, ext ) |
|
|
1731 | 1733 | |
|
|
1732 | 1734 | filename = os.path.join( path, subfolder, filen ) |
|
|
1733 | 1735 | |
|
|
1734 | 1736 | fp = open( filename,'wb' ) |
|
|
1735 | 1737 | |
|
|
1736 | 1738 | self.blockIndex = 0 |
|
|
1737 | 1739 | |
|
|
1738 | 1740 | #guardando atributos |
|
|
1739 | 1741 | self.filename = filename |
|
|
1740 | 1742 | self.subfolder = subfolder |
|
|
1741 | 1743 | self.fp = fp |
|
|
1742 | 1744 | self.setFile = setFile |
|
|
1743 | 1745 | self.flagIsNewFile = 1 |
|
|
1744 | 1746 | self.fileDate = self.dataOut.datatime.date() |
|
|
1745 | 1747 | |
|
|
1746 | 1748 | self.setFirstHeader() |
|
|
1747 | 1749 | |
|
|
1748 | 1750 | print '[Writing] Opening file: %s'%self.filename |
|
|
1749 | 1751 | |
|
|
1750 | 1752 | self.__writeFirstHeader() |
|
|
1751 | 1753 | |
|
|
1752 | 1754 | return 1 |
|
|
1753 | 1755 | |
|
|
1754 | 1756 | def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4): |
|
|
1755 | 1757 | """ |
|
|
1756 | 1758 | Setea el tipo de formato en la cual sera guardada la data y escribe el First Header |
|
|
1757 | 1759 | |
|
|
1758 | 1760 | Inputs: |
|
|
1759 | 1761 | path : directory where data will be saved |
|
|
1760 | 1762 | profilesPerBlock : number of profiles per block |
|
|
1761 | 1763 | set : initial file set |
|
|
1762 | 1764 | datatype : An integer number that defines data type: |
|
|
1763 | 1765 | 0 : int8 (1 byte) |
|
|
1764 | 1766 | 1 : int16 (2 bytes) |
|
|
1765 | 1767 | 2 : int32 (4 bytes) |
|
|
1766 | 1768 | 3 : int64 (8 bytes) |
|
|
1767 | 1769 | 4 : float32 (4 bytes) |
|
|
1768 | 1770 | 5 : double64 (8 bytes) |
|
|
1769 | 1771 | |
|
|
1770 | 1772 | Return: |
|
|
1771 | 1773 | 0 : Si no realizo un buen seteo |
|
|
1772 | 1774 | 1 : Si realizo un buen seteo |
|
|
1773 | 1775 | """ |
|
|
1774 | 1776 | |
|
|
1775 | 1777 | if ext == None: |
|
|
1776 | 1778 | ext = self.ext |
|
|
1777 | 1779 | |
|
|
1778 | 1780 | self.ext = ext.lower() |
|
|
1779 | 1781 | |
|
|
1780 | 1782 | self.path = path |
|
|
1781 | 1783 | |
|
|
1782 | 1784 | if set is None: |
|
|
1783 | 1785 | self.setFile = -1 |
|
|
1784 | 1786 | else: |
|
|
1785 | 1787 | self.setFile = set - 1 |
|
|
1786 | 1788 | |
|
|
1787 | 1789 | self.blocksPerFile = blocksPerFile |
|
|
1788 | 1790 | |
|
|
1789 | 1791 | self.profilesPerBlock = profilesPerBlock |
|
|
1790 | 1792 | |
|
|
1791 | 1793 | self.dataOut = dataOut |
|
|
1792 | 1794 | self.fileDate = self.dataOut.datatime.date() |
|
|
1793 | 1795 | #By default |
|
|
1794 | 1796 | self.dtype = self.dataOut.dtype |
|
|
1795 | 1797 | |
|
|
1796 | 1798 | if datatype is not None: |
|
|
1797 | 1799 | self.dtype = get_numpy_dtype(datatype) |
|
|
1798 | 1800 | |
|
|
1799 | 1801 | if not(self.setNextFile()): |
|
|
1800 | 1802 | print "[Writing] There isn't a next file" |
|
|
1801 | 1803 | return 0 |
|
|
1802 | 1804 | |
|
|
1803 | 1805 | self.setBlockDimension() |
|
|
1804 | 1806 | |
|
|
1805 | 1807 | return 1 |
|
|
1806 | 1808 | |
|
|
1807 | 1809 | def run(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=None, ext=None, datatype=4, **kwargs): |
|
|
1808 | 1810 | |
|
|
1809 | 1811 | if not(self.isConfig): |
|
|
1810 | 1812 | |
|
|
1811 | 1813 | self.setup(dataOut, path, blocksPerFile, profilesPerBlock=profilesPerBlock, set=set, ext=ext, datatype=datatype, **kwargs) |
|
|
1812 | 1814 | self.isConfig = True |
|
|
1813 | 1815 | |
|
|
1814 | 1816 | self.putData() |
| @@ -1,651 +1,739 | |||
|
|
1 | 1 | ''' |
|
|
2 | 2 | Created on Jul 2, 2014 |
|
|
3 | 3 | |
|
|
4 | 4 | @author: roj-idl71 |
|
|
5 | 5 | ''' |
|
|
6 | 6 | |
|
|
7 | 7 | import numpy |
|
|
8 | 8 | |
|
|
9 | 9 | from jroIO_base import LOCALTIME, JRODataReader, JRODataWriter |
|
|
10 | 10 | from schainpy.model.proc.jroproc_base import ProcessingUnit, Operation |
|
|
11 | 11 | from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader |
|
|
12 | 12 | from schainpy.model.data.jrodata import Voltage |
|
|
13 | 13 | import zmq |
|
|
14 | import tempfile | |
|
|
15 | from StringIO import StringIO | |
|
|
14 | 16 | # from _sha import blocksize |
|
|
15 | 17 | |
|
|
16 | 18 | class VoltageReader(JRODataReader, ProcessingUnit): |
|
|
17 | 19 | """ |
|
|
18 | 20 | Esta clase permite leer datos de voltage desde archivos en formato rawdata (.r). La lectura |
|
|
19 | 21 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones: |
|
|
20 | 22 | perfiles*alturas*canales) son almacenados en la variable "buffer". |
|
|
21 | 23 | |
|
|
22 | 24 | perfiles * alturas * canales |
|
|
23 | 25 | |
|
|
24 | 26 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
|
|
25 | 27 | RadarControllerHeader y Voltage. Los tres primeros se usan para almacenar informacion de la |
|
|
26 | 28 | cabecera de datos (metadata), y el cuarto (Voltage) para obtener y almacenar un perfil de |
|
|
27 | 29 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
|
|
28 | 30 | |
|
|
29 | 31 | Example: |
|
|
30 | 32 | |
|
|
31 | 33 | dpath = "/home/myuser/data" |
|
|
32 | 34 | |
|
|
33 | 35 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
|
|
34 | 36 | |
|
|
35 | 37 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
|
|
36 | 38 | |
|
|
37 | 39 | readerObj = VoltageReader() |
|
|
38 | 40 | |
|
|
39 | 41 | readerObj.setup(dpath, startTime, endTime) |
|
|
40 | 42 | |
|
|
41 | 43 | while(True): |
|
|
42 | 44 | |
|
|
43 | 45 | #to get one profile |
|
|
44 | 46 | profile = readerObj.getData() |
|
|
45 | 47 | |
|
|
46 | 48 | #print the profile |
|
|
47 | 49 | print profile |
|
|
48 | 50 | |
|
|
49 | 51 | #If you want to see all datablock |
|
|
50 | 52 | print readerObj.datablock |
|
|
51 | 53 | |
|
|
52 | 54 | if readerObj.flagNoMoreFiles: |
|
|
53 | 55 | break |
|
|
54 | 56 | |
|
|
55 | 57 | """ |
|
|
56 | 58 | |
|
|
57 | 59 | ext = ".r" |
|
|
58 | 60 | |
|
|
59 | 61 | optchar = "D" |
|
|
60 | 62 | dataOut = None |
|
|
61 | 63 | |
|
|
62 | 64 | def __init__(self, **kwargs): |
|
|
63 | 65 | """ |
|
|
64 | 66 | Inicializador de la clase VoltageReader para la lectura de datos de voltage. |
|
|
65 | 67 | |
|
|
66 | 68 | Input: |
|
|
67 | 69 | dataOut : Objeto de la clase Voltage. Este objeto sera utilizado para |
|
|
68 | 70 | almacenar un perfil de datos cada vez que se haga un requerimiento |
|
|
69 | 71 | (getData). El perfil sera obtenido a partir del buffer de datos, |
|
|
70 | 72 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
|
|
71 | 73 | bloque de datos. |
|
|
72 | 74 | Si este parametro no es pasado se creara uno internamente. |
|
|
73 | 75 | |
|
|
74 | 76 | Variables afectadas: |
|
|
75 | 77 | self.dataOut |
|
|
76 | 78 | |
|
|
77 | 79 | Return: |
|
|
78 | 80 | None |
|
|
79 | 81 | """ |
|
|
80 | 82 | |
|
|
81 | 83 | ProcessingUnit.__init__(self, **kwargs) |
|
|
82 | 84 | |
|
|
83 | 85 | self.isConfig = False |
|
|
84 | 86 | |
|
|
85 | 87 | self.datablock = None |
|
|
86 | 88 | |
|
|
87 | 89 | self.utc = 0 |
|
|
88 | 90 | |
|
|
89 | 91 | self.ext = ".r" |
|
|
90 | 92 | |
|
|
91 | 93 | self.optchar = "D" |
|
|
92 | 94 | |
|
|
93 | 95 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
94 | 96 | |
|
|
95 | 97 | self.systemHeaderObj = SystemHeader() |
|
|
96 | 98 | |
|
|
97 | 99 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
98 | 100 | |
|
|
99 | 101 | self.processingHeaderObj = ProcessingHeader() |
|
|
100 | 102 | |
|
|
101 | 103 | self.online = 0 |
|
|
102 | 104 | |
|
|
103 | 105 | self.fp = None |
|
|
104 | 106 | |
|
|
105 | 107 | self.idFile = None |
|
|
106 | 108 | |
|
|
107 | 109 | self.dtype = None |
|
|
108 | 110 | |
|
|
109 | 111 | self.fileSizeByHeader = None |
|
|
110 | 112 | |
|
|
111 | 113 | self.filenameList = [] |
|
|
112 | 114 | |
|
|
113 | 115 | self.filename = None |
|
|
114 | 116 | |
|
|
115 | 117 | self.fileSize = None |
|
|
116 | 118 | |
|
|
117 | 119 | self.firstHeaderSize = 0 |
|
|
118 | 120 | |
|
|
119 | 121 | self.basicHeaderSize = 24 |
|
|
120 | 122 | |
|
|
121 | 123 | self.pathList = [] |
|
|
122 | 124 | |
|
|
123 | 125 | self.filenameList = [] |
|
|
124 | 126 | |
|
|
125 | 127 | self.lastUTTime = 0 |
|
|
126 | 128 | |
|
|
127 | 129 | self.maxTimeStep = 30 |
|
|
128 | 130 | |
|
|
129 | 131 | self.flagNoMoreFiles = 0 |
|
|
130 | 132 | |
|
|
131 | 133 | self.set = 0 |
|
|
132 | 134 | |
|
|
133 | 135 | self.path = None |
|
|
134 | 136 | |
|
|
135 | 137 | self.profileIndex = 2**32-1 |
|
|
136 | 138 | |
|
|
137 | 139 | self.delay = 3 #seconds |
|
|
138 | 140 | |
|
|
139 | 141 | self.nTries = 3 #quantity tries |
|
|
140 | 142 | |
|
|
141 | 143 | self.nFiles = 3 #number of files for searching |
|
|
142 | 144 | |
|
|
143 | 145 | self.nReadBlocks = 0 |
|
|
144 | 146 | |
|
|
145 | 147 | self.flagIsNewFile = 1 |
|
|
146 | 148 | |
|
|
147 | 149 | self.__isFirstTimeOnline = 1 |
|
|
148 | 150 | |
|
|
149 | 151 | # self.ippSeconds = 0 |
|
|
150 | 152 | |
|
|
151 | 153 | self.flagDiscontinuousBlock = 0 |
|
|
152 | 154 | |
|
|
153 | 155 | self.flagIsNewBlock = 0 |
|
|
154 | 156 | |
|
|
155 | 157 | self.nTotalBlocks = 0 |
|
|
156 | 158 | |
|
|
157 | 159 | self.blocksize = 0 |
|
|
158 | 160 | |
|
|
159 | 161 | self.dataOut = self.createObjByDefault() |
|
|
160 | 162 | |
|
|
161 | 163 | self.nTxs = 1 |
|
|
162 | 164 | |
|
|
163 | 165 | self.txIndex = 0 |
|
|
164 | 166 | |
|
|
165 | 167 | def createObjByDefault(self): |
|
|
166 | 168 | |
|
|
167 | 169 | dataObj = Voltage() |
|
|
168 | 170 | |
|
|
169 | 171 | return dataObj |
|
|
170 | 172 | |
|
|
171 | 173 | def __hasNotDataInBuffer(self): |
|
|
172 | 174 | |
|
|
173 | 175 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock*self.nTxs: |
|
|
174 | 176 | return 1 |
|
|
175 | 177 | |
|
|
176 | 178 | return 0 |
|
|
177 | 179 | |
|
|
178 | 180 | |
|
|
179 | 181 | def getBlockDimension(self): |
|
|
180 | 182 | """ |
|
|
181 | 183 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
|
|
182 | 184 | |
|
|
183 | 185 | Affected: |
|
|
184 | 186 | self.blocksize |
|
|
185 | 187 | |
|
|
186 | 188 | Return: |
|
|
187 | 189 | None |
|
|
188 | 190 | """ |
|
|
189 | 191 | pts2read = self.processingHeaderObj.profilesPerBlock * self.processingHeaderObj.nHeights * self.systemHeaderObj.nChannels |
|
|
190 | 192 | self.blocksize = pts2read |
|
|
191 | 193 | |
|
|
192 | 194 | |
|
|
193 | 195 | |
|
|
194 | 196 | def readBlock(self): |
|
|
195 | 197 | """ |
|
|
196 | 198 | readBlock lee el bloque de datos desde la posicion actual del puntero del archivo |
|
|
197 | 199 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
|
|
198 | 200 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
|
|
199 | 201 | es seteado a 0 |
|
|
200 | 202 | |
|
|
201 | 203 | Inputs: |
|
|
202 | 204 | None |
|
|
203 | 205 | |
|
|
204 | 206 | Return: |
|
|
205 | 207 | None |
|
|
206 | 208 | |
|
|
207 | 209 | Affected: |
|
|
208 | 210 | self.profileIndex |
|
|
209 | 211 | self.datablock |
|
|
210 | 212 | self.flagIsNewFile |
|
|
211 | 213 | self.flagIsNewBlock |
|
|
212 | 214 | self.nTotalBlocks |
|
|
213 | 215 | |
|
|
214 | 216 | Exceptions: |
|
|
215 | 217 | Si un bloque leido no es un bloque valido |
|
|
216 | 218 | """ |
|
|
217 | 219 | |
|
|
218 | 220 | print 'READ BLOCK' |
|
|
219 | if self.server is not None: | |
|
|
220 | self.zBlock = self.receiver.recv() | |
|
|
221 | self.zHeader = self.zBlock[:24] | |
|
|
222 | self.zDataBlock = self.zBlock[24:] | |
|
|
223 | junk = numpy.fromstring(self.zDataBlock, numpy.dtype([('real','<i4'),('imag','<i4')])) | |
|
|
224 | self.processingHeaderObj.profilesPerBlock = 240 | |
|
|
225 | self.processingHeaderObj.nHeights = 248 | |
|
|
226 | self.systemHeaderObj.nChannels | |
|
|
227 | else: | |
|
|
228 |
|
|
|
|
229 |
|
|
|
|
221 | # if self.server is not None: | |
|
|
222 | # self.zBlock = self.receiver.recv() | |
|
|
223 | # self.zHeader = self.zBlock[:24] | |
|
|
224 | # self.zDataBlock = self.zBlock[24:] | |
|
|
225 | # junk = numpy.fromstring(self.zDataBlock, numpy.dtype([('real','<i4'),('imag','<i4')])) | |
|
|
226 | # self.processingHeaderObj.profilesPerBlock = 240 | |
|
|
227 | # self.processingHeaderObj.nHeights = 248 | |
|
|
228 | # self.systemHeaderObj.nChannels | |
|
|
229 | # else: | |
|
|
230 | current_pointer_location = self.fp.tell() | |
|
|
231 | junk = numpy.fromfile( self.fp, self.dtype, self.blocksize ) | |
|
|
230 | 232 | |
|
|
231 | 233 | try: |
|
|
232 | 234 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) |
|
|
233 | 235 | print'junked' |
|
|
234 | 236 | except: |
|
|
235 | 237 | #print "The read block (%3d) has not enough data" %self.nReadBlocks |
|
|
236 | 238 | |
|
|
237 | 239 | if self.waitDataBlock(pointer_location=current_pointer_location): |
|
|
238 | 240 | junk = numpy.fromfile( self.fp, self.dtype, self.blocksize ) |
|
|
239 | 241 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) |
|
|
240 | 242 | # return 0 |
|
|
241 | 243 | |
|
|
242 | 244 | #Dimensions : nChannels, nProfiles, nSamples |
|
|
243 | 245 | |
|
|
244 | 246 | junk = numpy.transpose(junk, (2,0,1)) |
|
|
245 | 247 | self.datablock = junk['real'] + junk['imag']*1j |
|
|
246 | 248 | |
|
|
247 | 249 | self.profileIndex = 0 |
|
|
248 | 250 | |
|
|
249 | 251 | self.flagIsNewFile = 0 |
|
|
250 | 252 | self.flagIsNewBlock = 1 |
|
|
251 | 253 | |
|
|
252 | 254 | self.nTotalBlocks += 1 |
|
|
253 | 255 | self.nReadBlocks += 1 |
|
|
254 | 256 | |
|
|
255 | 257 | return 1 |
|
|
256 | 258 | |
|
|
257 | 259 | def getFirstHeader(self): |
|
|
258 | 260 | |
|
|
259 | 261 | self.getBasicHeader() |
|
|
260 | 262 | |
|
|
261 | 263 | self.dataOut.systemHeaderObj = self.systemHeaderObj.copy() |
|
|
262 | 264 | |
|
|
263 | 265 | self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy() |
|
|
264 | 266 | |
|
|
265 | 267 | if self.nTxs > 1: |
|
|
266 | 268 | self.dataOut.radarControllerHeaderObj.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs |
|
|
267 | 269 | |
|
|
268 | 270 | #Time interval and code are propierties of dataOut. Its value depends of radarControllerHeaderObj. |
|
|
269 | 271 | |
|
|
270 | 272 | # self.dataOut.timeInterval = self.radarControllerHeaderObj.ippSeconds * self.processingHeaderObj.nCohInt |
|
|
271 | 273 | # |
|
|
272 | 274 | # if self.radarControllerHeaderObj.code is not None: |
|
|
273 | 275 | # |
|
|
274 | 276 | # self.dataOut.nCode = self.radarControllerHeaderObj.nCode |
|
|
275 | 277 | # |
|
|
276 | 278 | # self.dataOut.nBaud = self.radarControllerHeaderObj.nBaud |
|
|
277 | 279 | # |
|
|
278 | 280 | # self.dataOut.code = self.radarControllerHeaderObj.code |
|
|
279 | 281 | |
|
|
280 | 282 | self.dataOut.dtype = self.dtype |
|
|
281 | 283 | |
|
|
282 | 284 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock |
|
|
283 | 285 | |
|
|
284 | 286 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.nHeights) *self.processingHeaderObj.deltaHeight + self.processingHeaderObj.firstHeight |
|
|
285 | 287 | |
|
|
286 | 288 | self.dataOut.channelList = range(self.systemHeaderObj.nChannels) |
|
|
287 | 289 | |
|
|
288 | 290 | self.dataOut.nCohInt = self.processingHeaderObj.nCohInt |
|
|
289 | 291 | |
|
|
290 | 292 | self.dataOut.flagDecodeData = self.processingHeaderObj.flag_decode #asumo q la data no esta decodificada |
|
|
291 | 293 | |
|
|
292 | 294 | self.dataOut.flagDeflipData = self.processingHeaderObj.flag_deflip #asumo q la data no esta sin flip |
|
|
293 | 295 | |
|
|
294 | 296 | self.dataOut.flagShiftFFT = self.processingHeaderObj.shif_fft |
|
|
295 | 297 | |
|
|
296 | 298 | def reshapeData(self): |
|
|
297 | 299 | |
|
|
298 | 300 | if self.nTxs < 0: |
|
|
299 | 301 | return |
|
|
300 | 302 | |
|
|
301 | 303 | if self.nTxs == 1: |
|
|
302 | 304 | return |
|
|
303 | 305 | |
|
|
304 | 306 | if self.nTxs < 1 and self.processingHeaderObj.profilesPerBlock % (1./self.nTxs) != 0: |
|
|
305 | 307 | raise ValueError, "1./nTxs (=%f), should be a multiple of nProfiles (=%d)" %(1./self.nTxs, self.processingHeaderObj.profilesPerBlock) |
|
|
306 | 308 | |
|
|
307 | 309 | if self.nTxs > 1 and self.processingHeaderObj.nHeights % self.nTxs != 0: |
|
|
308 | 310 | raise ValueError, "nTxs (=%d), should be a multiple of nHeights (=%d)" %(self.nTxs, self.processingHeaderObj.nHeights) |
|
|
309 | 311 | |
|
|
310 | 312 | self.datablock = self.datablock.reshape((self.systemHeaderObj.nChannels, self.processingHeaderObj.profilesPerBlock*self.nTxs, self.processingHeaderObj.nHeights/self.nTxs)) |
|
|
311 | 313 | |
|
|
312 | 314 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock*self.nTxs |
|
|
313 | 315 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.nHeights/self.nTxs) *self.processingHeaderObj.deltaHeight + self.processingHeaderObj.firstHeight |
|
|
314 | 316 | self.dataOut.radarControllerHeaderObj.ippSeconds = self.radarControllerHeaderObj.ippSeconds/self.nTxs |
|
|
315 | 317 | |
|
|
316 | 318 | return |
|
|
317 | 319 | |
|
|
320 | def readFirstHeaderFromServer(self): | |
|
|
321 | ||
|
|
322 | self.getFirstHeader() | |
|
|
323 | ||
|
|
324 | self.firstHeaderSize = self.basicHeaderObj.size | |
|
|
325 | ||
|
|
326 | datatype = int(numpy.log2((self.processingHeaderObj.processFlags & PROCFLAG.DATATYPE_MASK))-numpy.log2(PROCFLAG.DATATYPE_CHAR)) | |
|
|
327 | if datatype == 0: | |
|
|
328 | datatype_str = numpy.dtype([('real','<i1'),('imag','<i1')]) | |
|
|
329 | elif datatype == 1: | |
|
|
330 | datatype_str = numpy.dtype([('real','<i2'),('imag','<i2')]) | |
|
|
331 | elif datatype == 2: | |
|
|
332 | datatype_str = numpy.dtype([('real','<i4'),('imag','<i4')]) | |
|
|
333 | elif datatype == 3: | |
|
|
334 | datatype_str = numpy.dtype([('real','<i8'),('imag','<i8')]) | |
|
|
335 | elif datatype == 4: | |
|
|
336 | datatype_str = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
|
|
337 | elif datatype == 5: | |
|
|
338 | datatype_str = numpy.dtype([('real','<f8'),('imag','<f8')]) | |
|
|
339 | else: | |
|
|
340 | raise ValueError, 'Data type was not defined' | |
|
|
341 | ||
|
|
342 | self.dtype = datatype_str | |
|
|
343 | #self.ippSeconds = 2 * 1000 * self.radarControllerHeaderObj.ipp / self.c | |
|
|
344 | self.fileSizeByHeader = self.processingHeaderObj.dataBlocksPerFile * self.processingHeaderObj.blockSize + self.firstHeaderSize + self.basicHeaderSize*(self.processingHeaderObj.dataBlocksPerFile - 1) | |
|
|
345 | # self.dataOut.channelList = numpy.arange(self.systemHeaderObj.numChannels) | |
|
|
346 | # self.dataOut.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels) | |
|
|
347 | self.getBlockDimension() | |
|
|
348 | ||
|
|
349 | ||
|
|
350 | def getFromServer(self): | |
|
|
351 | self.flagDiscontinuousBlock = 0 | |
|
|
352 | self.profileIndex = 0 | |
|
|
353 | self.flagIsNewBlock = 1 | |
|
|
354 | self.dataOut.flagNoData = False | |
|
|
355 | self.nTotalBlocks += 1 | |
|
|
356 | self.nReadBlocks += 1 | |
|
|
357 | self.blockPointer = 0 | |
|
|
358 | ||
|
|
359 | block = self.receiver.recv() | |
|
|
360 | ||
|
|
361 | self.basicHeaderObj.read(block[self.blockPointer:]) | |
|
|
362 | self.blockPointer += self.basicHeaderObj.length | |
|
|
363 | self.systemHeaderObj.read(block[self.blockPointer:]) | |
|
|
364 | self.blockPointer += self.systemHeaderObj.length | |
|
|
365 | self.radarControllerHeaderObj.read(block[self.blockPointer:]) | |
|
|
366 | self.blockPointer += self.radarControllerHeaderObj.length | |
|
|
367 | self.processingHeaderObj.read(block[self.blockPointer:]) | |
|
|
368 | self.blockPointer += self.processingHeaderObj.length | |
|
|
369 | self.readFirstHeaderFromServer() | |
|
|
370 | ||
|
|
371 | timestamp = self.basicHeaderObj.get_datatime() | |
|
|
372 | print '[Reading] - Block {} - {}'.format(self.nTotalBlocks, timestamp) | |
|
|
373 | current_pointer_location = self.blockPointer | |
|
|
374 | junk = numpy.fromstring( block[self.blockPointer:], self.dtype, self.blocksize ) | |
|
|
375 | ||
|
|
376 | try: | |
|
|
377 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) | |
|
|
378 | except: | |
|
|
379 | #print "The read block (%3d) has not enough data" %self.nReadBlocks | |
|
|
380 | if self.waitDataBlock(pointer_location=current_pointer_location): | |
|
|
381 | junk = numpy.fromstring( block[self.blockPointer:], self.dtype, self.blocksize ) | |
|
|
382 | junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) ) | |
|
|
383 | # return 0 | |
|
|
384 | ||
|
|
385 | #Dimensions : nChannels, nProfiles, nSamples | |
|
|
386 | ||
|
|
387 | junk = numpy.transpose(junk, (2,0,1)) | |
|
|
388 | self.datablock = junk['real'] + junk['imag'] * 1j | |
|
|
389 | self.profileIndex = 0 | |
|
|
390 | if self.selBlocksize == None: self.selBlocksize = self.dataOut.nProfiles | |
|
|
391 | if self.selBlocktime != None: | |
|
|
392 | if self.dataOut.nCohInt is not None: | |
|
|
393 | nCohInt = self.dataOut.nCohInt | |
|
|
394 | else: | |
|
|
395 | nCohInt = 1 | |
|
|
396 | self.selBlocksize = int(self.dataOut.nProfiles*round(self.selBlocktime/(nCohInt*self.dataOut.ippSeconds*self.dataOut.nProfiles))) | |
|
|
397 | self.dataOut.data = self.datablock[:,self.profileIndex:self.profileIndex+self.selBlocksize,:] | |
|
|
398 | datasize = self.dataOut.data.shape[1] | |
|
|
399 | if datasize < self.selBlocksize: | |
|
|
400 | buffer = numpy.zeros((self.dataOut.data.shape[0], self.selBlocksize, self.dataOut.data.shape[2]), dtype = 'complex') | |
|
|
401 | buffer[:,:datasize,:] = self.dataOut.data | |
|
|
402 | self.dataOut.data = buffer | |
|
|
403 | self.profileIndex = blockIndex | |
|
|
404 | ||
|
|
405 | self.dataOut.flagDataAsBlock = True | |
|
|
406 | self.flagIsNewBlock = 1 | |
|
|
407 | self.dataOut.realtime = self.online | |
|
|
408 | ||
|
|
409 | return self.dataOut.data | |
|
|
410 | ||
|
|
318 | 411 | def getData(self): |
|
|
319 | 412 | """ |
|
|
320 | 413 | getData obtiene una unidad de datos del buffer de lectura, un perfil, y la copia al objeto self.dataOut |
|
|
321 | 414 | del tipo "Voltage" con todos los parametros asociados a este (metadata). cuando no hay datos |
|
|
322 | 415 | en el buffer de lectura es necesario hacer una nueva lectura de los bloques de datos usando |
|
|
323 | 416 | "readNextBlock" |
|
|
324 | 417 | |
|
|
325 | 418 | Ademas incrementa el contador del buffer "self.profileIndex" en 1. |
|
|
326 | 419 | |
|
|
327 | 420 | Return: |
|
|
328 | 421 | |
|
|
329 | 422 | Si el flag self.getByBlock ha sido seteado el bloque completo es copiado a self.dataOut y el self.profileIndex |
|
|
330 | 423 | es igual al total de perfiles leidos desde el archivo. |
|
|
331 | 424 | |
|
|
332 | 425 | Si self.getByBlock == False: |
|
|
333 | 426 | |
|
|
334 | 427 | self.dataOut.data = buffer[:, thisProfile, :] |
|
|
335 | 428 | |
|
|
336 | 429 | shape = [nChannels, nHeis] |
|
|
337 | 430 | |
|
|
338 | 431 | Si self.getByBlock == True: |
|
|
339 | 432 | |
|
|
340 | 433 | self.dataOut.data = buffer[:, :, :] |
|
|
341 | 434 | |
|
|
342 | 435 | shape = [nChannels, nProfiles, nHeis] |
|
|
343 | 436 | |
|
|
344 | 437 | Variables afectadas: |
|
|
345 | 438 | self.dataOut |
|
|
346 | 439 | self.profileIndex |
|
|
347 | 440 | |
|
|
348 | 441 | Affected: |
|
|
349 | 442 | self.dataOut |
|
|
350 | 443 | self.profileIndex |
|
|
351 | 444 | self.flagDiscontinuousBlock |
|
|
352 | 445 | self.flagIsNewBlock |
|
|
353 | 446 | """ |
|
|
354 | print 1 | |
|
|
355 | 447 | if self.flagNoMoreFiles: |
|
|
356 | 448 | self.dataOut.flagNoData = True |
|
|
357 | 449 | print 'Process finished' |
|
|
358 | 450 | return 0 |
|
|
359 | print 2 | |
|
|
360 | 451 | self.flagDiscontinuousBlock = 0 |
|
|
361 | 452 | self.flagIsNewBlock = 0 |
|
|
362 | print 3 | |
|
|
363 | 453 | if self.__hasNotDataInBuffer(): |
|
|
364 | ||
|
|
365 | 454 | if not( self.readNextBlock() ): |
|
|
366 | 455 | return 0 |
|
|
367 | 456 | |
|
|
368 | 457 | self.getFirstHeader() |
|
|
369 | 458 | |
|
|
370 | 459 | self.reshapeData() |
|
|
371 | print 4 | |
|
|
372 | 460 | if self.datablock is None: |
|
|
373 | 461 | self.dataOut.flagNoData = True |
|
|
374 | 462 | return 0 |
|
|
375 | 463 | |
|
|
376 | 464 | if not self.getByBlock: |
|
|
377 | 465 | |
|
|
378 | 466 | """ |
|
|
379 | 467 | Return profile by profile |
|
|
380 | 468 | |
|
|
381 | 469 | If nTxs > 1 then one profile is divided by nTxs and number of total |
|
|
382 | 470 | blocks is increased by nTxs (nProfiles *= nTxs) |
|
|
383 | 471 | """ |
|
|
384 | 472 | self.dataOut.flagDataAsBlock = False |
|
|
385 | 473 | self.dataOut.data = self.datablock[:,self.profileIndex,:] |
|
|
386 | 474 | self.dataOut.profileIndex = self.profileIndex |
|
|
387 | 475 | |
|
|
388 | 476 | self.profileIndex += 1 |
|
|
389 | 477 | |
|
|
390 | 478 | # elif self.selBlocksize==None or self.selBlocksize==self.dataOut.nProfiles: |
|
|
391 | 479 | # """ |
|
|
392 | 480 | # Return all block |
|
|
393 | 481 | # """ |
|
|
394 | 482 | # self.dataOut.flagDataAsBlock = True |
|
|
395 | 483 | # self.dataOut.data = self.datablock |
|
|
396 | 484 | # self.dataOut.profileIndex = self.dataOut.nProfiles - 1 |
|
|
397 | 485 | # |
|
|
398 | 486 | # self.profileIndex = self.dataOut.nProfiles |
|
|
399 | 487 | |
|
|
400 | 488 | else: |
|
|
401 | 489 | """ |
|
|
402 | 490 | Return a block |
|
|
403 | 491 | """ |
|
|
404 | 492 | if self.selBlocksize == None: self.selBlocksize = self.dataOut.nProfiles |
|
|
405 | 493 | if self.selBlocktime != None: |
|
|
406 | 494 | if self.dataOut.nCohInt is not None: |
|
|
407 | 495 | nCohInt = self.dataOut.nCohInt |
|
|
408 | 496 | else: |
|
|
409 | 497 | nCohInt = 1 |
|
|
410 | 498 | self.selBlocksize = int(self.dataOut.nProfiles*round(self.selBlocktime/(nCohInt*self.dataOut.ippSeconds*self.dataOut.nProfiles))) |
|
|
411 | 499 | |
|
|
412 | 500 | self.dataOut.data = self.datablock[:,self.profileIndex:self.profileIndex+self.selBlocksize,:] |
|
|
413 | 501 | self.profileIndex += self.selBlocksize |
|
|
414 | 502 | datasize = self.dataOut.data.shape[1] |
|
|
415 | 503 | |
|
|
416 | 504 | if datasize < self.selBlocksize: |
|
|
417 | 505 | buffer = numpy.zeros((self.dataOut.data.shape[0],self.selBlocksize,self.dataOut.data.shape[2]), dtype = 'complex') |
|
|
418 | 506 | buffer[:,:datasize,:] = self.dataOut.data |
|
|
419 | 507 | |
|
|
420 | 508 | while datasize < self.selBlocksize: #Not enough profiles to fill the block |
|
|
421 | 509 | if not( self.readNextBlock() ): |
|
|
422 | 510 | return 0 |
|
|
423 | 511 | self.getFirstHeader() |
|
|
424 | 512 | self.reshapeData() |
|
|
425 | 513 | if self.datablock is None: |
|
|
426 | 514 | self.dataOut.flagNoData = True |
|
|
427 | 515 | return 0 |
|
|
428 | 516 | #stack data |
|
|
429 | 517 | blockIndex = self.selBlocksize - datasize |
|
|
430 | 518 | datablock1 = self.datablock[:,:blockIndex,:] |
|
|
431 | 519 | |
|
|
432 | 520 | buffer[:,datasize:datasize+datablock1.shape[1],:] = datablock1 |
|
|
433 | 521 | datasize += datablock1.shape[1] |
|
|
434 | 522 | |
|
|
435 | 523 | self.dataOut.data = buffer |
|
|
436 | 524 | self.profileIndex = blockIndex |
|
|
437 | 525 | |
|
|
438 | 526 | self.dataOut.flagDataAsBlock = True |
|
|
439 | 527 | self.dataOut.nProfiles = self.dataOut.data.shape[1] |
|
|
440 | 528 | |
|
|
441 | 529 | self.dataOut.flagNoData = False |
|
|
442 | 530 | |
|
|
443 | 531 | self.getBasicHeader() |
|
|
444 | 532 | |
|
|
445 | 533 | self.dataOut.realtime = self.online |
|
|
446 | 534 | |
|
|
447 | 535 | return self.dataOut.data |
|
|
448 | 536 | |
|
|
449 | 537 | class VoltageWriter(JRODataWriter, Operation): |
|
|
450 | 538 | """ |
|
|
451 | 539 | Esta clase permite escribir datos de voltajes a archivos procesados (.r). La escritura |
|
|
452 | 540 | de los datos siempre se realiza por bloques. |
|
|
453 | 541 | """ |
|
|
454 | 542 | |
|
|
455 | 543 | ext = ".r" |
|
|
456 | 544 | |
|
|
457 | 545 | optchar = "D" |
|
|
458 | 546 | |
|
|
459 | 547 | shapeBuffer = None |
|
|
460 | 548 | |
|
|
461 | 549 | |
|
|
462 | 550 | def __init__(self, **kwargs): |
|
|
463 | 551 | """ |
|
|
464 | 552 | Inicializador de la clase VoltageWriter para la escritura de datos de espectros. |
|
|
465 | 553 | |
|
|
466 | 554 | Affected: |
|
|
467 | 555 | self.dataOut |
|
|
468 | 556 | |
|
|
469 | 557 | Return: None |
|
|
470 | 558 | """ |
|
|
471 | 559 | Operation.__init__(self, **kwargs) |
|
|
472 | 560 | |
|
|
473 | 561 | self.nTotalBlocks = 0 |
|
|
474 | 562 | |
|
|
475 | 563 | self.profileIndex = 0 |
|
|
476 | 564 | |
|
|
477 | 565 | self.isConfig = False |
|
|
478 | 566 | |
|
|
479 | 567 | self.fp = None |
|
|
480 | 568 | |
|
|
481 | 569 | self.flagIsNewFile = 1 |
|
|
482 | 570 | |
|
|
483 | 571 | self.blockIndex = 0 |
|
|
484 | 572 | |
|
|
485 | 573 | self.flagIsNewBlock = 0 |
|
|
486 | 574 | |
|
|
487 | 575 | self.setFile = None |
|
|
488 | 576 | |
|
|
489 | 577 | self.dtype = None |
|
|
490 | 578 | |
|
|
491 | 579 | self.path = None |
|
|
492 | 580 | |
|
|
493 | 581 | self.filename = None |
|
|
494 | 582 | |
|
|
495 | 583 | self.basicHeaderObj = BasicHeader(LOCALTIME) |
|
|
496 | 584 | |
|
|
497 | 585 | self.systemHeaderObj = SystemHeader() |
|
|
498 | 586 | |
|
|
499 | 587 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
|
500 | 588 | |
|
|
501 | 589 | self.processingHeaderObj = ProcessingHeader() |
|
|
502 | 590 | |
|
|
503 | 591 | def hasAllDataInBuffer(self): |
|
|
504 | 592 | if self.profileIndex >= self.processingHeaderObj.profilesPerBlock: |
|
|
505 | 593 | return 1 |
|
|
506 | 594 | return 0 |
|
|
507 | 595 | |
|
|
508 | 596 | |
|
|
509 | 597 | def setBlockDimension(self): |
|
|
510 | 598 | """ |
|
|
511 | 599 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
|
|
512 | 600 | |
|
|
513 | 601 | Affected: |
|
|
514 | 602 | self.shape_spc_Buffer |
|
|
515 | 603 | self.shape_cspc_Buffer |
|
|
516 | 604 | self.shape_dc_Buffer |
|
|
517 | 605 | |
|
|
518 | 606 | Return: None |
|
|
519 | 607 | """ |
|
|
520 | 608 | self.shapeBuffer = (self.processingHeaderObj.profilesPerBlock, |
|
|
521 | 609 | self.processingHeaderObj.nHeights, |
|
|
522 | 610 | self.systemHeaderObj.nChannels) |
|
|
523 | 611 | |
|
|
524 | 612 | self.datablock = numpy.zeros((self.systemHeaderObj.nChannels, |
|
|
525 | 613 | self.processingHeaderObj.profilesPerBlock, |
|
|
526 | 614 | self.processingHeaderObj.nHeights), |
|
|
527 | 615 | dtype=numpy.dtype('complex64')) |
|
|
528 | 616 | |
|
|
529 | 617 | def writeBlock(self): |
|
|
530 | 618 | """ |
|
|
531 | 619 | Escribe el buffer en el file designado |
|
|
532 | 620 | |
|
|
533 | 621 | Affected: |
|
|
534 | 622 | self.profileIndex |
|
|
535 | 623 | self.flagIsNewFile |
|
|
536 | 624 | self.flagIsNewBlock |
|
|
537 | 625 | self.nTotalBlocks |
|
|
538 | 626 | self.blockIndex |
|
|
539 | 627 | |
|
|
540 | 628 | Return: None |
|
|
541 | 629 | """ |
|
|
542 | 630 | data = numpy.zeros( self.shapeBuffer, self.dtype ) |
|
|
543 | 631 | |
|
|
544 | 632 | junk = numpy.transpose(self.datablock, (1,2,0)) |
|
|
545 | 633 | |
|
|
546 | 634 | data['real'] = junk.real |
|
|
547 | 635 | data['imag'] = junk.imag |
|
|
548 | 636 | |
|
|
549 | 637 | data = data.reshape( (-1) ) |
|
|
550 | 638 | |
|
|
551 | 639 | data.tofile( self.fp ) |
|
|
552 | 640 | |
|
|
553 | 641 | self.datablock.fill(0) |
|
|
554 | 642 | |
|
|
555 | 643 | self.profileIndex = 0 |
|
|
556 | 644 | self.flagIsNewFile = 0 |
|
|
557 | 645 | self.flagIsNewBlock = 1 |
|
|
558 | 646 | |
|
|
559 | 647 | self.blockIndex += 1 |
|
|
560 | 648 | self.nTotalBlocks += 1 |
|
|
561 | 649 | |
|
|
562 | 650 | # print "[Writing] Block = %04d" %self.blockIndex |
|
|
563 | 651 | |
|
|
564 | 652 | def putData(self): |
|
|
565 | 653 | """ |
|
|
566 | 654 | Setea un bloque de datos y luego los escribe en un file |
|
|
567 | 655 | |
|
|
568 | 656 | Affected: |
|
|
569 | 657 | self.flagIsNewBlock |
|
|
570 | 658 | self.profileIndex |
|
|
571 | 659 | |
|
|
572 | 660 | Return: |
|
|
573 | 661 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
|
574 | 662 | 1 : Si se escribio la data de un bloque en un file |
|
|
575 | 663 | """ |
|
|
576 | 664 | if self.dataOut.flagNoData: |
|
|
577 | 665 | return 0 |
|
|
578 | 666 | |
|
|
579 | 667 | self.flagIsNewBlock = 0 |
|
|
580 | 668 | |
|
|
581 | 669 | if self.dataOut.flagDiscontinuousBlock: |
|
|
582 | 670 | self.datablock.fill(0) |
|
|
583 | 671 | self.profileIndex = 0 |
|
|
584 | 672 | self.setNextFile() |
|
|
585 | 673 | |
|
|
586 | 674 | if self.profileIndex == 0: |
|
|
587 | 675 | self.setBasicHeader() |
|
|
588 | 676 | |
|
|
589 | 677 | self.datablock[:,self.profileIndex,:] = self.dataOut.data |
|
|
590 | 678 | |
|
|
591 | 679 | self.profileIndex += 1 |
|
|
592 | 680 | |
|
|
593 | 681 | if self.hasAllDataInBuffer(): |
|
|
594 | 682 | #if self.flagIsNewFile: |
|
|
595 | 683 | self.writeNextBlock() |
|
|
596 | 684 | # self.setFirstHeader() |
|
|
597 | 685 | |
|
|
598 | 686 | return 1 |
|
|
599 | 687 | |
|
|
600 | 688 | def __getBlockSize(self): |
|
|
601 | 689 | ''' |
|
|
602 | 690 | Este metodos determina el cantidad de bytes para un bloque de datos de tipo Voltage |
|
|
603 | 691 | ''' |
|
|
604 | 692 | |
|
|
605 | 693 | dtype_width = self.getDtypeWidth() |
|
|
606 | 694 | |
|
|
607 | 695 | blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * self.profilesPerBlock * dtype_width * 2) |
|
|
608 | 696 | |
|
|
609 | 697 | return blocksize |
|
|
610 | 698 | |
|
|
611 | 699 | def setFirstHeader(self): |
|
|
612 | 700 | |
|
|
613 | 701 | """ |
|
|
614 | 702 | Obtiene una copia del First Header |
|
|
615 | 703 | |
|
|
616 | 704 | Affected: |
|
|
617 | 705 | self.systemHeaderObj |
|
|
618 | 706 | self.radarControllerHeaderObj |
|
|
619 | 707 | self.dtype |
|
|
620 | 708 | |
|
|
621 | 709 | Return: |
|
|
622 | 710 | None |
|
|
623 | 711 | """ |
|
|
624 | 712 | |
|
|
625 | 713 | self.systemHeaderObj = self.dataOut.systemHeaderObj.copy() |
|
|
626 | 714 | self.systemHeaderObj.nChannels = self.dataOut.nChannels |
|
|
627 | 715 | self.radarControllerHeaderObj = self.dataOut.radarControllerHeaderObj.copy() |
|
|
628 | 716 | |
|
|
629 | 717 | self.processingHeaderObj.dtype = 0 # Voltage |
|
|
630 | 718 | self.processingHeaderObj.blockSize = self.__getBlockSize() |
|
|
631 | 719 | self.processingHeaderObj.profilesPerBlock = self.profilesPerBlock |
|
|
632 | 720 | self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile |
|
|
633 | 721 | self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows |
|
|
634 | 722 | self.processingHeaderObj.nCohInt = self.dataOut.nCohInt |
|
|
635 | 723 | self.processingHeaderObj.nIncohInt = 1 # Cuando la data de origen es de tipo Voltage |
|
|
636 | 724 | self.processingHeaderObj.totalSpectra = 0 # Cuando la data de origen es de tipo Voltage |
|
|
637 | 725 | |
|
|
638 | 726 | if self.dataOut.code is not None: |
|
|
639 | 727 | self.processingHeaderObj.code = self.dataOut.code |
|
|
640 | 728 | self.processingHeaderObj.nCode = self.dataOut.nCode |
|
|
641 | 729 | self.processingHeaderObj.nBaud = self.dataOut.nBaud |
|
|
642 | 730 | |
|
|
643 | 731 | if self.processingHeaderObj.nWindows != 0: |
|
|
644 | 732 | self.processingHeaderObj.firstHeight = self.dataOut.heightList[0] |
|
|
645 | 733 | self.processingHeaderObj.deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
646 | 734 | self.processingHeaderObj.nHeights = self.dataOut.nHeights |
|
|
647 | 735 | self.processingHeaderObj.samplesWin = self.dataOut.nHeights |
|
|
648 | 736 | |
|
|
649 | 737 | self.processingHeaderObj.processFlags = self.getProcessFlags() |
|
|
650 | 738 | |
|
|
651 | 739 | self.setBasicHeader() |
| @@ -1,1283 +1,1283 | |||
|
|
1 | 1 | import sys |
|
|
2 | 2 | import numpy |
|
|
3 | 3 | from scipy import interpolate |
|
|
4 | 4 | |
|
|
5 | 5 | from jroproc_base import ProcessingUnit, Operation |
|
|
6 | 6 | from schainpy.model.data.jrodata import Voltage |
|
|
7 | 7 | |
|
|
8 | 8 | class VoltageProc(ProcessingUnit): |
|
|
9 | 9 | |
|
|
10 | 10 | |
|
|
11 | 11 | def __init__(self, **kwargs): |
|
|
12 | 12 | |
|
|
13 | 13 | ProcessingUnit.__init__(self, **kwargs) |
|
|
14 | 14 | |
|
|
15 | 15 | # self.objectDict = {} |
|
|
16 | 16 | self.dataOut = Voltage() |
|
|
17 | 17 | self.flip = 1 |
|
|
18 | 18 | |
|
|
19 | 19 | def run(self): |
|
|
20 | 20 | if self.dataIn.type == 'AMISR': |
|
|
21 | 21 | self.__updateObjFromAmisrInput() |
|
|
22 | 22 | |
|
|
23 | 23 | if self.dataIn.type == 'Voltage': |
|
|
24 | 24 | self.dataOut.copy(self.dataIn) |
|
|
25 | 25 | |
|
|
26 | 26 | # self.dataOut.copy(self.dataIn) |
|
|
27 | 27 | |
|
|
28 | 28 | def __updateObjFromAmisrInput(self): |
|
|
29 | 29 | |
|
|
30 | 30 | self.dataOut.timeZone = self.dataIn.timeZone |
|
|
31 | 31 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
|
32 | 32 | self.dataOut.errorCount = self.dataIn.errorCount |
|
|
33 | 33 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
|
34 | 34 | |
|
|
35 | 35 | self.dataOut.flagNoData = self.dataIn.flagNoData |
|
|
36 | 36 | self.dataOut.data = self.dataIn.data |
|
|
37 | 37 | self.dataOut.utctime = self.dataIn.utctime |
|
|
38 | 38 | self.dataOut.channelList = self.dataIn.channelList |
|
|
39 | 39 | # self.dataOut.timeInterval = self.dataIn.timeInterval |
|
|
40 | 40 | self.dataOut.heightList = self.dataIn.heightList |
|
|
41 | 41 | self.dataOut.nProfiles = self.dataIn.nProfiles |
|
|
42 | 42 | |
|
|
43 | 43 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
|
44 | 44 | self.dataOut.ippSeconds = self.dataIn.ippSeconds |
|
|
45 | 45 | self.dataOut.frequency = self.dataIn.frequency |
|
|
46 | 46 | |
|
|
47 | 47 | self.dataOut.azimuth = self.dataIn.azimuth |
|
|
48 | 48 | self.dataOut.zenith = self.dataIn.zenith |
|
|
49 | 49 | |
|
|
50 | 50 | self.dataOut.beam.codeList = self.dataIn.beam.codeList |
|
|
51 | 51 | self.dataOut.beam.azimuthList = self.dataIn.beam.azimuthList |
|
|
52 | 52 | self.dataOut.beam.zenithList = self.dataIn.beam.zenithList |
|
|
53 | 53 | # |
|
|
54 | 54 | # pass# |
|
|
55 | 55 | # |
|
|
56 | 56 | # def init(self): |
|
|
57 | 57 | # |
|
|
58 | 58 | # |
|
|
59 | 59 | # if self.dataIn.type == 'AMISR': |
|
|
60 | 60 | # self.__updateObjFromAmisrInput() |
|
|
61 | 61 | # |
|
|
62 | 62 | # if self.dataIn.type == 'Voltage': |
|
|
63 | 63 | # self.dataOut.copy(self.dataIn) |
|
|
64 | 64 | # # No necesita copiar en cada init() los atributos de dataIn |
|
|
65 | 65 | # # la copia deberia hacerse por cada nuevo bloque de datos |
|
|
66 | 66 | |
|
|
67 | 67 | def selectChannels(self, channelList): |
|
|
68 | 68 | |
|
|
69 | 69 | channelIndexList = [] |
|
|
70 | 70 | |
|
|
71 | 71 | for channel in channelList: |
|
|
72 | 72 | if channel not in self.dataOut.channelList: |
|
|
73 | 73 | raise ValueError, "Channel %d is not in %s" %(channel, str(self.dataOut.channelList)) |
|
|
74 | 74 | |
|
|
75 | 75 | index = self.dataOut.channelList.index(channel) |
|
|
76 | 76 | channelIndexList.append(index) |
|
|
77 | 77 | |
|
|
78 | 78 | self.selectChannelsByIndex(channelIndexList) |
|
|
79 | 79 | |
|
|
80 | 80 | def selectChannelsByIndex(self, channelIndexList): |
|
|
81 | 81 | """ |
|
|
82 | 82 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
|
83 | 83 | |
|
|
84 | 84 | Input: |
|
|
85 | 85 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
|
86 | 86 | |
|
|
87 | 87 | Affected: |
|
|
88 | 88 | self.dataOut.data |
|
|
89 | 89 | self.dataOut.channelIndexList |
|
|
90 | 90 | self.dataOut.nChannels |
|
|
91 | 91 | self.dataOut.m_ProcessingHeader.totalSpectra |
|
|
92 | 92 | self.dataOut.systemHeaderObj.numChannels |
|
|
93 | 93 | self.dataOut.m_ProcessingHeader.blockSize |
|
|
94 | 94 | |
|
|
95 | 95 | Return: |
|
|
96 | 96 | None |
|
|
97 | 97 | """ |
|
|
98 | 98 | |
|
|
99 | 99 | for channelIndex in channelIndexList: |
|
|
100 | 100 | if channelIndex not in self.dataOut.channelIndexList: |
|
|
101 | 101 | print channelIndexList |
|
|
102 | 102 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
|
103 | 103 | |
|
|
104 | 104 | if self.dataOut.flagDataAsBlock: |
|
|
105 | 105 | """ |
|
|
106 | 106 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
|
107 | 107 | """ |
|
|
108 | 108 | data = self.dataOut.data[channelIndexList,:,:] |
|
|
109 | 109 | else: |
|
|
110 | 110 | data = self.dataOut.data[channelIndexList,:] |
|
|
111 | 111 | |
|
|
112 | 112 | self.dataOut.data = data |
|
|
113 | 113 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
|
114 | 114 | # self.dataOut.nChannels = nChannels |
|
|
115 | 115 | |
|
|
116 | 116 | return 1 |
|
|
117 | 117 | |
|
|
118 | 118 | def selectHeights(self, minHei=None, maxHei=None): |
|
|
119 | 119 | """ |
|
|
120 | 120 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
|
121 | 121 | minHei <= height <= maxHei |
|
|
122 | 122 | |
|
|
123 | 123 | Input: |
|
|
124 | 124 | minHei : valor minimo de altura a considerar |
|
|
125 | 125 | maxHei : valor maximo de altura a considerar |
|
|
126 | 126 | |
|
|
127 | 127 | Affected: |
|
|
128 | 128 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
|
129 | 129 | |
|
|
130 | 130 | Return: |
|
|
131 | 131 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
132 | 132 | """ |
|
|
133 | 133 | |
|
|
134 | 134 | if minHei == None: |
|
|
135 | 135 | minHei = self.dataOut.heightList[0] |
|
|
136 | 136 | |
|
|
137 | 137 | if maxHei == None: |
|
|
138 | 138 | maxHei = self.dataOut.heightList[-1] |
|
|
139 | 139 | |
|
|
140 | 140 | if (minHei < self.dataOut.heightList[0]): |
|
|
141 | 141 | minHei = self.dataOut.heightList[0] |
|
|
142 | 142 | |
|
|
143 | 143 | if (maxHei > self.dataOut.heightList[-1]): |
|
|
144 | 144 | maxHei = self.dataOut.heightList[-1] |
|
|
145 | 145 | |
|
|
146 | 146 | minIndex = 0 |
|
|
147 | 147 | maxIndex = 0 |
|
|
148 | 148 | heights = self.dataOut.heightList |
|
|
149 | 149 | |
|
|
150 | 150 | inda = numpy.where(heights >= minHei) |
|
|
151 | 151 | indb = numpy.where(heights <= maxHei) |
|
|
152 | 152 | |
|
|
153 | 153 | try: |
|
|
154 | 154 | minIndex = inda[0][0] |
|
|
155 | 155 | except: |
|
|
156 | 156 | minIndex = 0 |
|
|
157 | 157 | |
|
|
158 | 158 | try: |
|
|
159 | 159 | maxIndex = indb[0][-1] |
|
|
160 | 160 | except: |
|
|
161 | 161 | maxIndex = len(heights) |
|
|
162 | 162 | |
|
|
163 | 163 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
|
164 | 164 | |
|
|
165 | 165 | return 1 |
|
|
166 | 166 | |
|
|
167 | 167 | |
|
|
168 | 168 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
|
169 | 169 | """ |
|
|
170 | 170 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
|
171 | 171 | minIndex <= index <= maxIndex |
|
|
172 | 172 | |
|
|
173 | 173 | Input: |
|
|
174 | 174 | minIndex : valor de indice minimo de altura a considerar |
|
|
175 | 175 | maxIndex : valor de indice maximo de altura a considerar |
|
|
176 | 176 | |
|
|
177 | 177 | Affected: |
|
|
178 | 178 | self.dataOut.data |
|
|
179 | 179 | self.dataOut.heightList |
|
|
180 | 180 | |
|
|
181 | 181 | Return: |
|
|
182 | 182 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
|
183 | 183 | """ |
|
|
184 | 184 | |
|
|
185 | 185 | if (minIndex < 0) or (minIndex > maxIndex): |
|
|
186 | 186 | raise ValueError, "Height index range (%d,%d) is not valid" % (minIndex, maxIndex) |
|
|
187 | 187 | |
|
|
188 | 188 | if (maxIndex >= self.dataOut.nHeights): |
|
|
189 | 189 | maxIndex = self.dataOut.nHeights |
|
|
190 | 190 | |
|
|
191 | 191 | #voltage |
|
|
192 | 192 | if self.dataOut.flagDataAsBlock: |
|
|
193 | 193 | """ |
|
|
194 | 194 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
|
195 | 195 | """ |
|
|
196 | 196 | data = self.dataOut.data[:,:, minIndex:maxIndex] |
|
|
197 | 197 | else: |
|
|
198 | 198 | data = self.dataOut.data[:, minIndex:maxIndex] |
|
|
199 | 199 | |
|
|
200 | 200 | # firstHeight = self.dataOut.heightList[minIndex] |
|
|
201 | 201 | |
|
|
202 | 202 | self.dataOut.data = data |
|
|
203 | 203 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex] |
|
|
204 | 204 | |
|
|
205 | 205 | if self.dataOut.nHeights <= 1: |
|
|
206 | 206 | raise ValueError, "selectHeights: Too few heights. Current number of heights is %d" %(self.dataOut.nHeights) |
|
|
207 | 207 | |
|
|
208 | 208 | return 1 |
|
|
209 | 209 | |
|
|
210 | 210 | |
|
|
211 | 211 | def filterByHeights(self, window): |
|
|
212 | 212 | |
|
|
213 | 213 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
214 | 214 | |
|
|
215 | 215 | if window == None: |
|
|
216 | 216 | window = (self.dataOut.radarControllerHeaderObj.txA/self.dataOut.radarControllerHeaderObj.nBaud) / deltaHeight |
|
|
217 | 217 | |
|
|
218 | 218 | newdelta = deltaHeight * window |
|
|
219 | 219 | r = self.dataOut.nHeights % window |
|
|
220 | 220 | newheights = (self.dataOut.nHeights-r)/window |
|
|
221 | 221 | |
|
|
222 | 222 | if newheights <= 1: |
|
|
223 | 223 | raise ValueError, "filterByHeights: Too few heights. Current number of heights is %d and window is %d" %(self.dataOut.nHeights, window) |
|
|
224 | 224 | |
|
|
225 | 225 | if self.dataOut.flagDataAsBlock: |
|
|
226 | 226 | """ |
|
|
227 | 227 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
|
228 | 228 | """ |
|
|
229 | 229 | buffer = self.dataOut.data[:, :, 0:self.dataOut.nHeights-r] |
|
|
230 | 230 | buffer = buffer.reshape(self.dataOut.nChannels,self.dataOut.nProfiles,self.dataOut.nHeights/window,window) |
|
|
231 | 231 | buffer = numpy.sum(buffer,3) |
|
|
232 | 232 | |
|
|
233 | 233 | else: |
|
|
234 | 234 | buffer = self.dataOut.data[:,0:self.dataOut.nHeights-r] |
|
|
235 | 235 | buffer = buffer.reshape(self.dataOut.nChannels,self.dataOut.nHeights/window,window) |
|
|
236 | 236 | buffer = numpy.sum(buffer,2) |
|
|
237 | 237 | |
|
|
238 | 238 | self.dataOut.data = buffer |
|
|
239 | 239 | self.dataOut.heightList = self.dataOut.heightList[0] + numpy.arange( newheights )*newdelta |
|
|
240 | 240 | self.dataOut.windowOfFilter = window |
|
|
241 | 241 | |
|
|
242 | 242 | def setH0(self, h0, deltaHeight = None): |
|
|
243 | 243 | |
|
|
244 | 244 | if not deltaHeight: |
|
|
245 | 245 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
|
246 | 246 | |
|
|
247 | 247 | nHeights = self.dataOut.nHeights |
|
|
248 | 248 | |
|
|
249 | 249 | newHeiRange = h0 + numpy.arange(nHeights)*deltaHeight |
|
|
250 | 250 | |
|
|
251 | 251 | self.dataOut.heightList = newHeiRange |
|
|
252 | 252 | |
|
|
253 | 253 | def deFlip(self, channelList = []): |
|
|
254 | 254 | |
|
|
255 | 255 | data = self.dataOut.data.copy() |
|
|
256 | 256 | |
|
|
257 | 257 | if self.dataOut.flagDataAsBlock: |
|
|
258 | 258 | flip = self.flip |
|
|
259 | 259 | profileList = range(self.dataOut.nProfiles) |
|
|
260 | 260 | |
|
|
261 | 261 | if not channelList: |
|
|
262 | 262 | for thisProfile in profileList: |
|
|
263 | 263 | data[:,thisProfile,:] = data[:,thisProfile,:]*flip |
|
|
264 | 264 | flip *= -1.0 |
|
|
265 | 265 | else: |
|
|
266 | 266 | for thisChannel in channelList: |
|
|
267 | 267 | if thisChannel not in self.dataOut.channelList: |
|
|
268 | 268 | continue |
|
|
269 | 269 | |
|
|
270 | 270 | for thisProfile in profileList: |
|
|
271 | 271 | data[thisChannel,thisProfile,:] = data[thisChannel,thisProfile,:]*flip |
|
|
272 | 272 | flip *= -1.0 |
|
|
273 | 273 | |
|
|
274 | 274 | self.flip = flip |
|
|
275 | 275 | |
|
|
276 | 276 | else: |
|
|
277 | 277 | if not channelList: |
|
|
278 | 278 | data[:,:] = data[:,:]*self.flip |
|
|
279 | 279 | else: |
|
|
280 | 280 | for thisChannel in channelList: |
|
|
281 | 281 | if thisChannel not in self.dataOut.channelList: |
|
|
282 | 282 | continue |
|
|
283 | 283 | |
|
|
284 | 284 | data[thisChannel,:] = data[thisChannel,:]*self.flip |
|
|
285 | 285 | |
|
|
286 | 286 | self.flip *= -1. |
|
|
287 | 287 | |
|
|
288 | 288 | self.dataOut.data = data |
|
|
289 | 289 | |
|
|
290 | 290 | def setRadarFrequency(self, frequency=None): |
|
|
291 | 291 | |
|
|
292 | 292 | if frequency != None: |
|
|
293 | 293 | self.dataOut.frequency = frequency |
|
|
294 | 294 | |
|
|
295 | 295 | return 1 |
|
|
296 | 296 | |
|
|
297 | 297 | def interpolateHeights(self, topLim, botLim): |
|
|
298 | 298 | #69 al 72 para julia |
|
|
299 | 299 | #82-84 para meteoros |
|
|
300 | 300 | if len(numpy.shape(self.dataOut.data))==2: |
|
|
301 | 301 | sampInterp = (self.dataOut.data[:,botLim-1] + self.dataOut.data[:,topLim+1])/2 |
|
|
302 | 302 | sampInterp = numpy.transpose(numpy.tile(sampInterp,(topLim-botLim + 1,1))) |
|
|
303 | 303 | #self.dataOut.data[:,botLim:limSup+1] = sampInterp |
|
|
304 | 304 | self.dataOut.data[:,botLim:topLim+1] = sampInterp |
|
|
305 | 305 | else: |
|
|
306 | 306 | nHeights = self.dataOut.data.shape[2] |
|
|
307 | 307 | x = numpy.hstack((numpy.arange(botLim),numpy.arange(topLim+1,nHeights))) |
|
|
308 | 308 | y = self.dataOut.data[:,:,range(botLim)+range(topLim+1,nHeights)] |
|
|
309 | 309 | f = interpolate.interp1d(x, y, axis = 2) |
|
|
310 | 310 | xnew = numpy.arange(botLim,topLim+1) |
|
|
311 | 311 | ynew = f(xnew) |
|
|
312 | 312 | |
|
|
313 | 313 | self.dataOut.data[:,:,botLim:topLim+1] = ynew |
|
|
314 | 314 | |
|
|
315 | 315 | # import collections |
|
|
316 | 316 | |
|
|
317 | 317 | class CohInt(Operation): |
|
|
318 | 318 | |
|
|
319 | 319 | isConfig = False |
|
|
320 | 320 | |
|
|
321 | 321 | __profIndex = 0 |
|
|
322 | 322 | __withOverapping = False |
|
|
323 | 323 | |
|
|
324 | 324 | __byTime = False |
|
|
325 | 325 | __initime = None |
|
|
326 | 326 | __lastdatatime = None |
|
|
327 | 327 | __integrationtime = None |
|
|
328 | 328 | |
|
|
329 | 329 | __buffer = None |
|
|
330 | 330 | |
|
|
331 | 331 | __dataReady = False |
|
|
332 | 332 | |
|
|
333 | 333 | n = None |
|
|
334 | 334 | |
|
|
335 | 335 | |
|
|
336 | 336 | def __init__(self, **kwargs): |
|
|
337 | 337 | |
|
|
338 | 338 | Operation.__init__(self, **kwargs) |
|
|
339 | 339 | |
|
|
340 | 340 | # self.isConfig = False |
|
|
341 | 341 | |
|
|
342 | 342 | def setup(self, n=None, timeInterval=None, overlapping=False, byblock=False): |
|
|
343 | 343 | """ |
|
|
344 | 344 | Set the parameters of the integration class. |
|
|
345 | 345 | |
|
|
346 | 346 | Inputs: |
|
|
347 | 347 | |
|
|
348 | 348 | n : Number of coherent integrations |
|
|
349 | 349 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
|
350 | 350 | overlapping : |
|
|
351 | 351 | |
|
|
352 | 352 | """ |
|
|
353 | 353 | |
|
|
354 | 354 | self.__initime = None |
|
|
355 | 355 | self.__lastdatatime = 0 |
|
|
356 | 356 | self.__buffer = None |
|
|
357 | 357 | self.__dataReady = False |
|
|
358 | 358 | self.byblock = byblock |
|
|
359 | 359 | |
|
|
360 | 360 | if n == None and timeInterval == None: |
|
|
361 | 361 | raise ValueError, "n or timeInterval should be specified ..." |
|
|
362 | 362 | |
|
|
363 | 363 | if n != None: |
|
|
364 | 364 | self.n = n |
|
|
365 | 365 | self.__byTime = False |
|
|
366 | 366 | else: |
|
|
367 | 367 | self.__integrationtime = timeInterval #* 60. #if (type(timeInterval)!=integer) -> change this line |
|
|
368 | 368 | self.n = 9999 |
|
|
369 | 369 | self.__byTime = True |
|
|
370 | 370 | |
|
|
371 | 371 | if overlapping: |
|
|
372 | 372 | self.__withOverapping = True |
|
|
373 | 373 | self.__buffer = None |
|
|
374 | 374 | else: |
|
|
375 | 375 | self.__withOverapping = False |
|
|
376 | 376 | self.__buffer = 0 |
|
|
377 | 377 | |
|
|
378 | 378 | self.__profIndex = 0 |
|
|
379 | 379 | |
|
|
380 | 380 | def putData(self, data): |
|
|
381 | 381 | |
|
|
382 | 382 | """ |
|
|
383 | 383 | Add a profile to the __buffer and increase in one the __profileIndex |
|
|
384 | 384 | |
|
|
385 | 385 | """ |
|
|
386 | 386 | |
|
|
387 | 387 | if not self.__withOverapping: |
|
|
388 | 388 | self.__buffer += data.copy() |
|
|
389 | 389 | self.__profIndex += 1 |
|
|
390 | 390 | return |
|
|
391 | 391 | |
|
|
392 | 392 | #Overlapping data |
|
|
393 | 393 | nChannels, nHeis = data.shape |
|
|
394 | 394 | data = numpy.reshape(data, (1, nChannels, nHeis)) |
|
|
395 | 395 | |
|
|
396 | 396 | #If the buffer is empty then it takes the data value |
|
|
397 | 397 | if self.__buffer is None: |
|
|
398 | 398 | self.__buffer = data |
|
|
399 | 399 | self.__profIndex += 1 |
|
|
400 | 400 | return |
|
|
401 | 401 | |
|
|
402 | 402 | #If the buffer length is lower than n then stakcing the data value |
|
|
403 | 403 | if self.__profIndex < self.n: |
|
|
404 | 404 | self.__buffer = numpy.vstack((self.__buffer, data)) |
|
|
405 | 405 | self.__profIndex += 1 |
|
|
406 | 406 | return |
|
|
407 | 407 | |
|
|
408 | 408 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
|
409 | 409 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) |
|
|
410 | 410 | self.__buffer[self.n-1] = data |
|
|
411 | 411 | self.__profIndex = self.n |
|
|
412 | 412 | return |
|
|
413 | 413 | |
|
|
414 | 414 | |
|
|
415 | 415 | def pushData(self): |
|
|
416 | 416 | """ |
|
|
417 | 417 | Return the sum of the last profiles and the profiles used in the sum. |
|
|
418 | 418 | |
|
|
419 | 419 | Affected: |
|
|
420 | 420 | |
|
|
421 | 421 | self.__profileIndex |
|
|
422 | 422 | |
|
|
423 | 423 | """ |
|
|
424 | 424 | |
|
|
425 | 425 | if not self.__withOverapping: |
|
|
426 | 426 | data = self.__buffer |
|
|
427 | 427 | n = self.__profIndex |
|
|
428 | 428 | |
|
|
429 | 429 | self.__buffer = 0 |
|
|
430 | 430 | self.__profIndex = 0 |
|
|
431 | 431 | |
|
|
432 | 432 | return data, n |
|
|
433 | 433 | |
|
|
434 | 434 | #Integration with Overlapping |
|
|
435 | 435 | data = numpy.sum(self.__buffer, axis=0) |
|
|
436 | 436 | n = self.__profIndex |
|
|
437 | 437 | |
|
|
438 | 438 | return data, n |
|
|
439 | 439 | |
|
|
440 | 440 | def byProfiles(self, data): |
|
|
441 | 441 | |
|
|
442 | 442 | self.__dataReady = False |
|
|
443 | 443 | avgdata = None |
|
|
444 | 444 | # n = None |
|
|
445 | 445 | |
|
|
446 | 446 | self.putData(data) |
|
|
447 | 447 | |
|
|
448 | 448 | if self.__profIndex == self.n: |
|
|
449 | 449 | |
|
|
450 | 450 | avgdata, n = self.pushData() |
|
|
451 | 451 | self.__dataReady = True |
|
|
452 | 452 | |
|
|
453 | 453 | return avgdata |
|
|
454 | 454 | |
|
|
455 | 455 | def byTime(self, data, datatime): |
|
|
456 | 456 | |
|
|
457 | 457 | self.__dataReady = False |
|
|
458 | 458 | avgdata = None |
|
|
459 | 459 | n = None |
|
|
460 | 460 | |
|
|
461 | 461 | self.putData(data) |
|
|
462 | 462 | |
|
|
463 | 463 | if (datatime - self.__initime) >= self.__integrationtime: |
|
|
464 | 464 | avgdata, n = self.pushData() |
|
|
465 | 465 | self.n = n |
|
|
466 | 466 | self.__dataReady = True |
|
|
467 | 467 | |
|
|
468 | 468 | return avgdata |
|
|
469 | 469 | |
|
|
470 | 470 | def integrate(self, data, datatime=None): |
|
|
471 | 471 | |
|
|
472 | 472 | if self.__initime == None: |
|
|
473 | 473 | self.__initime = datatime |
|
|
474 | 474 | |
|
|
475 | 475 | if self.__byTime: |
|
|
476 | 476 | avgdata = self.byTime(data, datatime) |
|
|
477 | 477 | else: |
|
|
478 | 478 | avgdata = self.byProfiles(data) |
|
|
479 | 479 | |
|
|
480 | 480 | |
|
|
481 | 481 | self.__lastdatatime = datatime |
|
|
482 | 482 | |
|
|
483 | 483 | if avgdata is None: |
|
|
484 | 484 | return None, None |
|
|
485 | 485 | |
|
|
486 | 486 | avgdatatime = self.__initime |
|
|
487 | 487 | |
|
|
488 | 488 | deltatime = datatime -self.__lastdatatime |
|
|
489 | 489 | |
|
|
490 | 490 | if not self.__withOverapping: |
|
|
491 | 491 | self.__initime = datatime |
|
|
492 | 492 | else: |
|
|
493 | 493 | self.__initime += deltatime |
|
|
494 | 494 | |
|
|
495 | 495 | return avgdata, avgdatatime |
|
|
496 | 496 | |
|
|
497 | 497 | def integrateByBlock(self, dataOut): |
|
|
498 | 498 | |
|
|
499 | 499 | times = int(dataOut.data.shape[1]/self.n) |
|
|
500 | 500 | avgdata = numpy.zeros((dataOut.nChannels, times, dataOut.nHeights), dtype=numpy.complex) |
|
|
501 | 501 | |
|
|
502 | 502 | id_min = 0 |
|
|
503 | 503 | id_max = self.n |
|
|
504 | 504 | |
|
|
505 | 505 | for i in range(times): |
|
|
506 | 506 | junk = dataOut.data[:,id_min:id_max,:] |
|
|
507 | 507 | avgdata[:,i,:] = junk.sum(axis=1) |
|
|
508 | 508 | id_min += self.n |
|
|
509 | 509 | id_max += self.n |
|
|
510 | 510 | |
|
|
511 | 511 | timeInterval = dataOut.ippSeconds*self.n |
|
|
512 | 512 | avgdatatime = (times - 1) * timeInterval + dataOut.utctime |
|
|
513 | 513 | self.__dataReady = True |
|
|
514 | 514 | return avgdata, avgdatatime |
|
|
515 | 515 | |
|
|
516 | def run(self, dataOut, **kwargs): | |
|
|
517 | ||
|
|
516 | ||
|
|
517 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False, byblock=False, **kwargs): | |
|
|
518 | 518 | if not self.isConfig: |
|
|
519 | self.setup(**kwargs) | |
|
|
519 | self.setup(n=n, timeInterval=timeInterval, overlapping=overlapping, byblock=byblock, **kwargs) | |
|
|
520 | 520 | self.isConfig = True |
|
|
521 | 521 | |
|
|
522 | 522 | if dataOut.flagDataAsBlock: |
|
|
523 | 523 | """ |
|
|
524 | 524 | Si la data es leida por bloques, dimension = [nChannels, nProfiles, nHeis] |
|
|
525 | 525 | """ |
|
|
526 | 526 | avgdata, avgdatatime = self.integrateByBlock(dataOut) |
|
|
527 | 527 | dataOut.nProfiles /= self.n |
|
|
528 | 528 | else: |
|
|
529 | 529 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) |
|
|
530 | 530 | |
|
|
531 | 531 | # dataOut.timeInterval *= n |
|
|
532 | 532 | dataOut.flagNoData = True |
|
|
533 | 533 | |
|
|
534 | 534 | if self.__dataReady: |
|
|
535 | 535 | dataOut.data = avgdata |
|
|
536 | 536 | dataOut.nCohInt *= self.n |
|
|
537 | 537 | dataOut.utctime = avgdatatime |
|
|
538 | 538 | # dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt |
|
|
539 | 539 | dataOut.flagNoData = False |
|
|
540 | 540 | |
|
|
541 | 541 | class Decoder(Operation): |
|
|
542 | 542 | |
|
|
543 | 543 | isConfig = False |
|
|
544 | 544 | __profIndex = 0 |
|
|
545 | 545 | |
|
|
546 | 546 | code = None |
|
|
547 | 547 | |
|
|
548 | 548 | nCode = None |
|
|
549 | 549 | nBaud = None |
|
|
550 | 550 | |
|
|
551 | 551 | |
|
|
552 | 552 | def __init__(self, **kwargs): |
|
|
553 | 553 | |
|
|
554 | 554 | Operation.__init__(self, **kwargs) |
|
|
555 | 555 | |
|
|
556 | 556 | self.times = None |
|
|
557 | 557 | self.osamp = None |
|
|
558 | 558 | # self.__setValues = False |
|
|
559 | 559 | self.isConfig = False |
|
|
560 | 560 | |
|
|
561 | 561 | def setup(self, code, osamp, dataOut): |
|
|
562 | 562 | |
|
|
563 | 563 | self.__profIndex = 0 |
|
|
564 | 564 | |
|
|
565 | 565 | self.code = code |
|
|
566 | 566 | |
|
|
567 | 567 | self.nCode = len(code) |
|
|
568 | 568 | self.nBaud = len(code[0]) |
|
|
569 | 569 | |
|
|
570 | 570 | if (osamp != None) and (osamp >1): |
|
|
571 | 571 | self.osamp = osamp |
|
|
572 | 572 | self.code = numpy.repeat(code, repeats=self.osamp, axis=1) |
|
|
573 | 573 | self.nBaud = self.nBaud*self.osamp |
|
|
574 | 574 | |
|
|
575 | 575 | self.__nChannels = dataOut.nChannels |
|
|
576 | 576 | self.__nProfiles = dataOut.nProfiles |
|
|
577 | 577 | self.__nHeis = dataOut.nHeights |
|
|
578 | 578 | |
|
|
579 | 579 | if self.__nHeis < self.nBaud: |
|
|
580 | 580 | raise ValueError, 'Number of heights (%d) should be greater than number of bauds (%d)' %(self.__nHeis, self.nBaud) |
|
|
581 | 581 | |
|
|
582 | 582 | #Frequency |
|
|
583 | 583 | __codeBuffer = numpy.zeros((self.nCode, self.__nHeis), dtype=numpy.complex) |
|
|
584 | 584 | |
|
|
585 | 585 | __codeBuffer[:,0:self.nBaud] = self.code |
|
|
586 | 586 | |
|
|
587 | 587 | self.fft_code = numpy.conj(numpy.fft.fft(__codeBuffer, axis=1)) |
|
|
588 | 588 | |
|
|
589 | 589 | if dataOut.flagDataAsBlock: |
|
|
590 | 590 | |
|
|
591 | 591 | self.ndatadec = self.__nHeis #- self.nBaud + 1 |
|
|
592 | 592 | |
|
|
593 | 593 | self.datadecTime = numpy.zeros((self.__nChannels, self.__nProfiles, self.ndatadec), dtype=numpy.complex) |
|
|
594 | 594 | |
|
|
595 | 595 | else: |
|
|
596 | 596 | |
|
|
597 | 597 | #Time |
|
|
598 | 598 | self.ndatadec = self.__nHeis #- self.nBaud + 1 |
|
|
599 | 599 | |
|
|
600 | 600 | self.datadecTime = numpy.zeros((self.__nChannels, self.ndatadec), dtype=numpy.complex) |
|
|
601 | 601 | |
|
|
602 | 602 | def __convolutionInFreq(self, data): |
|
|
603 | 603 | |
|
|
604 | 604 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
|
605 | 605 | |
|
|
606 | 606 | fft_data = numpy.fft.fft(data, axis=1) |
|
|
607 | 607 | |
|
|
608 | 608 | conv = fft_data*fft_code |
|
|
609 | 609 | |
|
|
610 | 610 | data = numpy.fft.ifft(conv,axis=1) |
|
|
611 | 611 | |
|
|
612 | 612 | return data |
|
|
613 | 613 | |
|
|
614 | 614 | def __convolutionInFreqOpt(self, data): |
|
|
615 | 615 | |
|
|
616 | 616 | raise NotImplementedError |
|
|
617 | 617 | |
|
|
618 | 618 | def __convolutionInTime(self, data): |
|
|
619 | 619 | |
|
|
620 | 620 | code = self.code[self.__profIndex] |
|
|
621 | 621 | |
|
|
622 | 622 | for i in range(self.__nChannels): |
|
|
623 | 623 | self.datadecTime[i,:] = numpy.correlate(data[i,:], code, mode='full')[self.nBaud-1:] |
|
|
624 | 624 | |
|
|
625 | 625 | return self.datadecTime |
|
|
626 | 626 | |
|
|
627 | 627 | def __convolutionByBlockInTime(self, data): |
|
|
628 | 628 | |
|
|
629 | 629 | repetitions = self.__nProfiles / self.nCode |
|
|
630 | 630 | |
|
|
631 | 631 | junk = numpy.lib.stride_tricks.as_strided(self.code, (repetitions, self.code.size), (0, self.code.itemsize)) |
|
|
632 | 632 | junk = junk.flatten() |
|
|
633 | 633 | code_block = numpy.reshape(junk, (self.nCode*repetitions, self.nBaud)) |
|
|
634 | 634 | |
|
|
635 | 635 | for i in range(self.__nChannels): |
|
|
636 | 636 | for j in range(self.__nProfiles): |
|
|
637 | 637 | self.datadecTime[i,j,:] = numpy.correlate(data[i,j,:], code_block[j,:], mode='full')[self.nBaud-1:] |
|
|
638 | 638 | |
|
|
639 | 639 | return self.datadecTime |
|
|
640 | 640 | |
|
|
641 | 641 | def __convolutionByBlockInFreq(self, data): |
|
|
642 | 642 | |
|
|
643 | 643 | raise NotImplementedError, "Decoder by frequency fro Blocks not implemented" |
|
|
644 | 644 | |
|
|
645 | 645 | |
|
|
646 | 646 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
|
|
647 | 647 | |
|
|
648 | 648 | fft_data = numpy.fft.fft(data, axis=2) |
|
|
649 | 649 | |
|
|
650 | 650 | conv = fft_data*fft_code |
|
|
651 | 651 | |
|
|
652 | 652 | data = numpy.fft.ifft(conv,axis=2) |
|
|
653 | 653 | |
|
|
654 | 654 | return data |
|
|
655 | 655 | |
|
|
656 | 656 | def run(self, dataOut, code=None, nCode=None, nBaud=None, mode = 0, osamp=None, times=None): |
|
|
657 | 657 | |
|
|
658 | 658 | if dataOut.flagDecodeData: |
|
|
659 | 659 | print "This data is already decoded, recoding again ..." |
|
|
660 | 660 | |
|
|
661 | 661 | if not self.isConfig: |
|
|
662 | 662 | |
|
|
663 | 663 | if code is None: |
|
|
664 | 664 | if dataOut.code is None: |
|
|
665 | 665 | raise ValueError, "Code could not be read from %s instance. Enter a value in Code parameter" %dataOut.type |
|
|
666 | 666 | |
|
|
667 | 667 | code = dataOut.code |
|
|
668 | 668 | else: |
|
|
669 | 669 | code = numpy.array(code).reshape(nCode,nBaud) |
|
|
670 | 670 | |
|
|
671 | 671 | self.setup(code, osamp, dataOut) |
|
|
672 | 672 | |
|
|
673 | 673 | self.isConfig = True |
|
|
674 | 674 | |
|
|
675 | 675 | if mode == 3: |
|
|
676 | 676 | sys.stderr.write("Decoder Warning: mode=%d is not valid, using mode=0\n" %mode) |
|
|
677 | 677 | |
|
|
678 | 678 | if times != None: |
|
|
679 | 679 | sys.stderr.write("Decoder Warning: Argument 'times' in not used anymore\n") |
|
|
680 | 680 | |
|
|
681 | 681 | if self.code is None: |
|
|
682 | 682 | print "Fail decoding: Code is not defined." |
|
|
683 | 683 | return |
|
|
684 | 684 | |
|
|
685 | 685 | datadec = None |
|
|
686 | 686 | if mode == 3: |
|
|
687 | 687 | mode = 0 |
|
|
688 | 688 | |
|
|
689 | 689 | if dataOut.flagDataAsBlock: |
|
|
690 | 690 | """ |
|
|
691 | 691 | Decoding when data have been read as block, |
|
|
692 | 692 | """ |
|
|
693 | 693 | |
|
|
694 | 694 | if mode == 0: |
|
|
695 | 695 | datadec = self.__convolutionByBlockInTime(dataOut.data) |
|
|
696 | 696 | if mode == 1: |
|
|
697 | 697 | datadec = self.__convolutionByBlockInFreq(dataOut.data) |
|
|
698 | 698 | else: |
|
|
699 | 699 | """ |
|
|
700 | 700 | Decoding when data have been read profile by profile |
|
|
701 | 701 | """ |
|
|
702 | 702 | if mode == 0: |
|
|
703 | 703 | datadec = self.__convolutionInTime(dataOut.data) |
|
|
704 | 704 | |
|
|
705 | 705 | if mode == 1: |
|
|
706 | 706 | datadec = self.__convolutionInFreq(dataOut.data) |
|
|
707 | 707 | |
|
|
708 | 708 | if mode == 2: |
|
|
709 | 709 | datadec = self.__convolutionInFreqOpt(dataOut.data) |
|
|
710 | 710 | |
|
|
711 | 711 | if datadec is None: |
|
|
712 | 712 | raise ValueError, "Codification mode selected is not valid: mode=%d. Try selecting 0 or 1" %mode |
|
|
713 | 713 | |
|
|
714 | 714 | dataOut.code = self.code |
|
|
715 | 715 | dataOut.nCode = self.nCode |
|
|
716 | 716 | dataOut.nBaud = self.nBaud |
|
|
717 | 717 | |
|
|
718 | 718 | dataOut.data = datadec |
|
|
719 | 719 | |
|
|
720 | 720 | dataOut.heightList = dataOut.heightList[0:datadec.shape[-1]] |
|
|
721 | 721 | |
|
|
722 | 722 | dataOut.flagDecodeData = True #asumo q la data esta decodificada |
|
|
723 | 723 | |
|
|
724 | 724 | if self.__profIndex == self.nCode-1: |
|
|
725 | 725 | self.__profIndex = 0 |
|
|
726 | 726 | return 1 |
|
|
727 | 727 | |
|
|
728 | 728 | self.__profIndex += 1 |
|
|
729 | 729 | |
|
|
730 | 730 | return 1 |
|
|
731 | 731 | # dataOut.flagDeflipData = True #asumo q la data no esta sin flip |
|
|
732 | 732 | |
|
|
733 | 733 | |
|
|
734 | 734 | class ProfileConcat(Operation): |
|
|
735 | 735 | |
|
|
736 | 736 | isConfig = False |
|
|
737 | 737 | buffer = None |
|
|
738 | 738 | |
|
|
739 | 739 | def __init__(self, **kwargs): |
|
|
740 | 740 | |
|
|
741 | 741 | Operation.__init__(self, **kwargs) |
|
|
742 | 742 | self.profileIndex = 0 |
|
|
743 | 743 | |
|
|
744 | 744 | def reset(self): |
|
|
745 | 745 | self.buffer = numpy.zeros_like(self.buffer) |
|
|
746 | 746 | self.start_index = 0 |
|
|
747 | 747 | self.times = 1 |
|
|
748 | 748 | |
|
|
749 | 749 | def setup(self, data, m, n=1): |
|
|
750 | 750 | self.buffer = numpy.zeros((data.shape[0],data.shape[1]*m),dtype=type(data[0,0])) |
|
|
751 | 751 | self.nHeights = data.shape[1]#.nHeights |
|
|
752 | 752 | self.start_index = 0 |
|
|
753 | 753 | self.times = 1 |
|
|
754 | 754 | |
|
|
755 | 755 | def concat(self, data): |
|
|
756 | 756 | |
|
|
757 | 757 | self.buffer[:,self.start_index:self.nHeights*self.times] = data.copy() |
|
|
758 | 758 | self.start_index = self.start_index + self.nHeights |
|
|
759 | 759 | |
|
|
760 | 760 | def run(self, dataOut, m): |
|
|
761 | 761 | |
|
|
762 | 762 | dataOut.flagNoData = True |
|
|
763 | 763 | |
|
|
764 | 764 | if not self.isConfig: |
|
|
765 | 765 | self.setup(dataOut.data, m, 1) |
|
|
766 | 766 | self.isConfig = True |
|
|
767 | 767 | |
|
|
768 | 768 | if dataOut.flagDataAsBlock: |
|
|
769 | 769 | raise ValueError, "ProfileConcat can only be used when voltage have been read profile by profile, getBlock = False" |
|
|
770 | 770 | |
|
|
771 | 771 | else: |
|
|
772 | 772 | self.concat(dataOut.data) |
|
|
773 | 773 | self.times += 1 |
|
|
774 | 774 | if self.times > m: |
|
|
775 | 775 | dataOut.data = self.buffer |
|
|
776 | 776 | self.reset() |
|
|
777 | 777 | dataOut.flagNoData = False |
|
|
778 | 778 | # se deben actualizar mas propiedades del header y del objeto dataOut, por ejemplo, las alturas |
|
|
779 | 779 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
780 | 780 | xf = dataOut.heightList[0] + dataOut.nHeights * deltaHeight * m |
|
|
781 | 781 | dataOut.heightList = numpy.arange(dataOut.heightList[0], xf, deltaHeight) |
|
|
782 | 782 | dataOut.ippSeconds *= m |
|
|
783 | 783 | |
|
|
784 | 784 | class ProfileSelector(Operation): |
|
|
785 | 785 | |
|
|
786 | 786 | profileIndex = None |
|
|
787 | 787 | # Tamanho total de los perfiles |
|
|
788 | 788 | nProfiles = None |
|
|
789 | 789 | |
|
|
790 | 790 | def __init__(self, **kwargs): |
|
|
791 | 791 | |
|
|
792 | 792 | Operation.__init__(self, **kwargs) |
|
|
793 | 793 | self.profileIndex = 0 |
|
|
794 | 794 | |
|
|
795 | 795 | def incProfileIndex(self): |
|
|
796 | 796 | |
|
|
797 | 797 | self.profileIndex += 1 |
|
|
798 | 798 | |
|
|
799 | 799 | if self.profileIndex >= self.nProfiles: |
|
|
800 | 800 | self.profileIndex = 0 |
|
|
801 | 801 | |
|
|
802 | 802 | def isThisProfileInRange(self, profileIndex, minIndex, maxIndex): |
|
|
803 | 803 | |
|
|
804 | 804 | if profileIndex < minIndex: |
|
|
805 | 805 | return False |
|
|
806 | 806 | |
|
|
807 | 807 | if profileIndex > maxIndex: |
|
|
808 | 808 | return False |
|
|
809 | 809 | |
|
|
810 | 810 | return True |
|
|
811 | 811 | |
|
|
812 | 812 | def isThisProfileInList(self, profileIndex, profileList): |
|
|
813 | 813 | |
|
|
814 | 814 | if profileIndex not in profileList: |
|
|
815 | 815 | return False |
|
|
816 | 816 | |
|
|
817 | 817 | return True |
|
|
818 | 818 | |
|
|
819 | 819 | def run(self, dataOut, profileList=None, profileRangeList=None, beam=None, byblock=False, rangeList = None, nProfiles=None): |
|
|
820 | 820 | |
|
|
821 | 821 | """ |
|
|
822 | 822 | ProfileSelector: |
|
|
823 | 823 | |
|
|
824 | 824 | Inputs: |
|
|
825 | 825 | profileList : Index of profiles selected. Example: profileList = (0,1,2,7,8) |
|
|
826 | 826 | |
|
|
827 | 827 | profileRangeList : Minimum and maximum profile indexes. Example: profileRangeList = (4, 30) |
|
|
828 | 828 | |
|
|
829 | 829 | rangeList : List of profile ranges. Example: rangeList = ((4, 30), (32, 64), (128, 256)) |
|
|
830 | 830 | |
|
|
831 | 831 | """ |
|
|
832 | 832 | |
|
|
833 | 833 | if rangeList is not None: |
|
|
834 | 834 | if type(rangeList[0]) not in (tuple, list): |
|
|
835 | 835 | rangeList = [rangeList] |
|
|
836 | 836 | |
|
|
837 | 837 | dataOut.flagNoData = True |
|
|
838 | 838 | |
|
|
839 | 839 | if dataOut.flagDataAsBlock: |
|
|
840 | 840 | """ |
|
|
841 | 841 | data dimension = [nChannels, nProfiles, nHeis] |
|
|
842 | 842 | """ |
|
|
843 | 843 | if profileList != None: |
|
|
844 | 844 | dataOut.data = dataOut.data[:,profileList,:] |
|
|
845 | 845 | |
|
|
846 | 846 | if profileRangeList != None: |
|
|
847 | 847 | minIndex = profileRangeList[0] |
|
|
848 | 848 | maxIndex = profileRangeList[1] |
|
|
849 | 849 | profileList = range(minIndex, maxIndex+1) |
|
|
850 | 850 | |
|
|
851 | 851 | dataOut.data = dataOut.data[:,minIndex:maxIndex+1,:] |
|
|
852 | 852 | |
|
|
853 | 853 | if rangeList != None: |
|
|
854 | 854 | |
|
|
855 | 855 | profileList = [] |
|
|
856 | 856 | |
|
|
857 | 857 | for thisRange in rangeList: |
|
|
858 | 858 | minIndex = thisRange[0] |
|
|
859 | 859 | maxIndex = thisRange[1] |
|
|
860 | 860 | |
|
|
861 | 861 | profileList.extend(range(minIndex, maxIndex+1)) |
|
|
862 | 862 | |
|
|
863 | 863 | dataOut.data = dataOut.data[:,profileList,:] |
|
|
864 | 864 | |
|
|
865 | 865 | dataOut.nProfiles = len(profileList) |
|
|
866 | 866 | dataOut.profileIndex = dataOut.nProfiles - 1 |
|
|
867 | 867 | dataOut.flagNoData = False |
|
|
868 | 868 | |
|
|
869 | 869 | return True |
|
|
870 | 870 | |
|
|
871 | 871 | """ |
|
|
872 | 872 | data dimension = [nChannels, nHeis] |
|
|
873 | 873 | """ |
|
|
874 | 874 | |
|
|
875 | 875 | if profileList != None: |
|
|
876 | 876 | |
|
|
877 | 877 | if self.isThisProfileInList(dataOut.profileIndex, profileList): |
|
|
878 | 878 | |
|
|
879 | 879 | self.nProfiles = len(profileList) |
|
|
880 | 880 | dataOut.nProfiles = self.nProfiles |
|
|
881 | 881 | dataOut.profileIndex = self.profileIndex |
|
|
882 | 882 | dataOut.flagNoData = False |
|
|
883 | 883 | |
|
|
884 | 884 | self.incProfileIndex() |
|
|
885 | 885 | return True |
|
|
886 | 886 | |
|
|
887 | 887 | if profileRangeList != None: |
|
|
888 | 888 | |
|
|
889 | 889 | minIndex = profileRangeList[0] |
|
|
890 | 890 | maxIndex = profileRangeList[1] |
|
|
891 | 891 | |
|
|
892 | 892 | if self.isThisProfileInRange(dataOut.profileIndex, minIndex, maxIndex): |
|
|
893 | 893 | |
|
|
894 | 894 | self.nProfiles = maxIndex - minIndex + 1 |
|
|
895 | 895 | dataOut.nProfiles = self.nProfiles |
|
|
896 | 896 | dataOut.profileIndex = self.profileIndex |
|
|
897 | 897 | dataOut.flagNoData = False |
|
|
898 | 898 | |
|
|
899 | 899 | self.incProfileIndex() |
|
|
900 | 900 | return True |
|
|
901 | 901 | |
|
|
902 | 902 | if rangeList != None: |
|
|
903 | 903 | |
|
|
904 | 904 | nProfiles = 0 |
|
|
905 | 905 | |
|
|
906 | 906 | for thisRange in rangeList: |
|
|
907 | 907 | minIndex = thisRange[0] |
|
|
908 | 908 | maxIndex = thisRange[1] |
|
|
909 | 909 | |
|
|
910 | 910 | nProfiles += maxIndex - minIndex + 1 |
|
|
911 | 911 | |
|
|
912 | 912 | for thisRange in rangeList: |
|
|
913 | 913 | |
|
|
914 | 914 | minIndex = thisRange[0] |
|
|
915 | 915 | maxIndex = thisRange[1] |
|
|
916 | 916 | |
|
|
917 | 917 | if self.isThisProfileInRange(dataOut.profileIndex, minIndex, maxIndex): |
|
|
918 | 918 | |
|
|
919 | 919 | self.nProfiles = nProfiles |
|
|
920 | 920 | dataOut.nProfiles = self.nProfiles |
|
|
921 | 921 | dataOut.profileIndex = self.profileIndex |
|
|
922 | 922 | dataOut.flagNoData = False |
|
|
923 | 923 | |
|
|
924 | 924 | self.incProfileIndex() |
|
|
925 | 925 | |
|
|
926 | 926 | break |
|
|
927 | 927 | |
|
|
928 | 928 | return True |
|
|
929 | 929 | |
|
|
930 | 930 | |
|
|
931 | 931 | if beam != None: #beam is only for AMISR data |
|
|
932 | 932 | if self.isThisProfileInList(dataOut.profileIndex, dataOut.beamRangeDict[beam]): |
|
|
933 | 933 | dataOut.flagNoData = False |
|
|
934 | 934 | dataOut.profileIndex = self.profileIndex |
|
|
935 | 935 | |
|
|
936 | 936 | self.incProfileIndex() |
|
|
937 | 937 | |
|
|
938 | 938 | return True |
|
|
939 | 939 | |
|
|
940 | 940 | raise ValueError, "ProfileSelector needs profileList, profileRangeList or rangeList parameter" |
|
|
941 | 941 | |
|
|
942 | 942 | return False |
|
|
943 | 943 | |
|
|
944 | 944 | class Reshaper(Operation): |
|
|
945 | 945 | |
|
|
946 | 946 | def __init__(self, **kwargs): |
|
|
947 | 947 | |
|
|
948 | 948 | Operation.__init__(self, **kwargs) |
|
|
949 | 949 | |
|
|
950 | 950 | self.__buffer = None |
|
|
951 | 951 | self.__nitems = 0 |
|
|
952 | 952 | |
|
|
953 | 953 | def __appendProfile(self, dataOut, nTxs): |
|
|
954 | 954 | |
|
|
955 | 955 | if self.__buffer is None: |
|
|
956 | 956 | shape = (dataOut.nChannels, int(dataOut.nHeights/nTxs) ) |
|
|
957 | 957 | self.__buffer = numpy.empty(shape, dtype = dataOut.data.dtype) |
|
|
958 | 958 | |
|
|
959 | 959 | ini = dataOut.nHeights * self.__nitems |
|
|
960 | 960 | end = ini + dataOut.nHeights |
|
|
961 | 961 | |
|
|
962 | 962 | self.__buffer[:, ini:end] = dataOut.data |
|
|
963 | 963 | |
|
|
964 | 964 | self.__nitems += 1 |
|
|
965 | 965 | |
|
|
966 | 966 | return int(self.__nitems*nTxs) |
|
|
967 | 967 | |
|
|
968 | 968 | def __getBuffer(self): |
|
|
969 | 969 | |
|
|
970 | 970 | if self.__nitems == int(1./self.__nTxs): |
|
|
971 | 971 | |
|
|
972 | 972 | self.__nitems = 0 |
|
|
973 | 973 | |
|
|
974 | 974 | return self.__buffer.copy() |
|
|
975 | 975 | |
|
|
976 | 976 | return None |
|
|
977 | 977 | |
|
|
978 | 978 | def __checkInputs(self, dataOut, shape, nTxs): |
|
|
979 | 979 | |
|
|
980 | 980 | if shape is None and nTxs is None: |
|
|
981 | 981 | raise ValueError, "Reshaper: shape of factor should be defined" |
|
|
982 | 982 | |
|
|
983 | 983 | if nTxs: |
|
|
984 | 984 | if nTxs < 0: |
|
|
985 | 985 | raise ValueError, "nTxs should be greater than 0" |
|
|
986 | 986 | |
|
|
987 | 987 | if nTxs < 1 and dataOut.nProfiles % (1./nTxs) != 0: |
|
|
988 | 988 | raise ValueError, "nProfiles= %d is not divisibled by (1./nTxs) = %f" %(dataOut.nProfiles, (1./nTxs)) |
|
|
989 | 989 | |
|
|
990 | 990 | shape = [dataOut.nChannels, dataOut.nProfiles*nTxs, dataOut.nHeights/nTxs] |
|
|
991 | 991 | |
|
|
992 | 992 | return shape, nTxs |
|
|
993 | 993 | |
|
|
994 | 994 | if len(shape) != 2 and len(shape) != 3: |
|
|
995 | 995 | raise ValueError, "shape dimension should be equal to 2 or 3. shape = (nProfiles, nHeis) or (nChannels, nProfiles, nHeis). Actually shape = (%d, %d, %d)" %(dataOut.nChannels, dataOut.nProfiles, dataOut.nHeights) |
|
|
996 | 996 | |
|
|
997 | 997 | if len(shape) == 2: |
|
|
998 | 998 | shape_tuple = [dataOut.nChannels] |
|
|
999 | 999 | shape_tuple.extend(shape) |
|
|
1000 | 1000 | else: |
|
|
1001 | 1001 | shape_tuple = list(shape) |
|
|
1002 | 1002 | |
|
|
1003 | 1003 | nTxs = 1.0*shape_tuple[1]/dataOut.nProfiles |
|
|
1004 | 1004 | |
|
|
1005 | 1005 | return shape_tuple, nTxs |
|
|
1006 | 1006 | |
|
|
1007 | 1007 | def run(self, dataOut, shape=None, nTxs=None): |
|
|
1008 | 1008 | |
|
|
1009 | 1009 | shape_tuple, self.__nTxs = self.__checkInputs(dataOut, shape, nTxs) |
|
|
1010 | 1010 | |
|
|
1011 | 1011 | dataOut.flagNoData = True |
|
|
1012 | 1012 | profileIndex = None |
|
|
1013 | 1013 | |
|
|
1014 | 1014 | if dataOut.flagDataAsBlock: |
|
|
1015 | 1015 | |
|
|
1016 | 1016 | dataOut.data = numpy.reshape(dataOut.data, shape_tuple) |
|
|
1017 | 1017 | dataOut.flagNoData = False |
|
|
1018 | 1018 | |
|
|
1019 | 1019 | profileIndex = int(dataOut.nProfiles*self.__nTxs) - 1 |
|
|
1020 | 1020 | |
|
|
1021 | 1021 | else: |
|
|
1022 | 1022 | |
|
|
1023 | 1023 | if self.__nTxs < 1: |
|
|
1024 | 1024 | |
|
|
1025 | 1025 | self.__appendProfile(dataOut, self.__nTxs) |
|
|
1026 | 1026 | new_data = self.__getBuffer() |
|
|
1027 | 1027 | |
|
|
1028 | 1028 | if new_data is not None: |
|
|
1029 | 1029 | dataOut.data = new_data |
|
|
1030 | 1030 | dataOut.flagNoData = False |
|
|
1031 | 1031 | |
|
|
1032 | 1032 | profileIndex = dataOut.profileIndex*nTxs |
|
|
1033 | 1033 | |
|
|
1034 | 1034 | else: |
|
|
1035 | 1035 | raise ValueError, "nTxs should be greater than 0 and lower than 1, or use VoltageReader(..., getblock=True)" |
|
|
1036 | 1036 | |
|
|
1037 | 1037 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
1038 | 1038 | |
|
|
1039 | 1039 | dataOut.heightList = numpy.arange(dataOut.nHeights/self.__nTxs) * deltaHeight + dataOut.heightList[0] |
|
|
1040 | 1040 | |
|
|
1041 | 1041 | dataOut.nProfiles = int(dataOut.nProfiles*self.__nTxs) |
|
|
1042 | 1042 | |
|
|
1043 | 1043 | dataOut.profileIndex = profileIndex |
|
|
1044 | 1044 | |
|
|
1045 | 1045 | dataOut.ippSeconds /= self.__nTxs |
|
|
1046 | 1046 | |
|
|
1047 | 1047 | class SplitProfiles(Operation): |
|
|
1048 | 1048 | |
|
|
1049 | 1049 | def __init__(self, **kwargs): |
|
|
1050 | 1050 | |
|
|
1051 | 1051 | Operation.__init__(self, **kwargs) |
|
|
1052 | 1052 | |
|
|
1053 | 1053 | def run(self, dataOut, n): |
|
|
1054 | 1054 | |
|
|
1055 | 1055 | dataOut.flagNoData = True |
|
|
1056 | 1056 | profileIndex = None |
|
|
1057 | 1057 | |
|
|
1058 | 1058 | if dataOut.flagDataAsBlock: |
|
|
1059 | 1059 | |
|
|
1060 | 1060 | #nchannels, nprofiles, nsamples |
|
|
1061 | 1061 | shape = dataOut.data.shape |
|
|
1062 | 1062 | |
|
|
1063 | 1063 | if shape[2] % n != 0: |
|
|
1064 | 1064 | raise ValueError, "Could not split the data, n=%d has to be multiple of %d" %(n, shape[2]) |
|
|
1065 | 1065 | |
|
|
1066 | 1066 | new_shape = shape[0], shape[1]*n, shape[2]/n |
|
|
1067 | 1067 | |
|
|
1068 | 1068 | dataOut.data = numpy.reshape(dataOut.data, new_shape) |
|
|
1069 | 1069 | dataOut.flagNoData = False |
|
|
1070 | 1070 | |
|
|
1071 | 1071 | profileIndex = int(dataOut.nProfiles/n) - 1 |
|
|
1072 | 1072 | |
|
|
1073 | 1073 | else: |
|
|
1074 | 1074 | |
|
|
1075 | 1075 | raise ValueError, "Could not split the data when is read Profile by Profile. Use VoltageReader(..., getblock=True)" |
|
|
1076 | 1076 | |
|
|
1077 | 1077 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
1078 | 1078 | |
|
|
1079 | 1079 | dataOut.heightList = numpy.arange(dataOut.nHeights/n) * deltaHeight + dataOut.heightList[0] |
|
|
1080 | 1080 | |
|
|
1081 | 1081 | dataOut.nProfiles = int(dataOut.nProfiles*n) |
|
|
1082 | 1082 | |
|
|
1083 | 1083 | dataOut.profileIndex = profileIndex |
|
|
1084 | 1084 | |
|
|
1085 | 1085 | dataOut.ippSeconds /= n |
|
|
1086 | 1086 | |
|
|
1087 | 1087 | class CombineProfiles(Operation): |
|
|
1088 | 1088 | |
|
|
1089 | 1089 | def __init__(self, **kwargs): |
|
|
1090 | 1090 | |
|
|
1091 | 1091 | Operation.__init__(self, **kwargs) |
|
|
1092 | 1092 | |
|
|
1093 | 1093 | self.__remData = None |
|
|
1094 | 1094 | self.__profileIndex = 0 |
|
|
1095 | 1095 | |
|
|
1096 | 1096 | def run(self, dataOut, n): |
|
|
1097 | 1097 | |
|
|
1098 | 1098 | dataOut.flagNoData = True |
|
|
1099 | 1099 | profileIndex = None |
|
|
1100 | 1100 | |
|
|
1101 | 1101 | if dataOut.flagDataAsBlock: |
|
|
1102 | 1102 | |
|
|
1103 | 1103 | #nchannels, nprofiles, nsamples |
|
|
1104 | 1104 | shape = dataOut.data.shape |
|
|
1105 | 1105 | new_shape = shape[0], shape[1]/n, shape[2]*n |
|
|
1106 | 1106 | |
|
|
1107 | 1107 | if shape[1] % n != 0: |
|
|
1108 | 1108 | raise ValueError, "Could not split the data, n=%d has to be multiple of %d" %(n, shape[1]) |
|
|
1109 | 1109 | |
|
|
1110 | 1110 | dataOut.data = numpy.reshape(dataOut.data, new_shape) |
|
|
1111 | 1111 | dataOut.flagNoData = False |
|
|
1112 | 1112 | |
|
|
1113 | 1113 | profileIndex = int(dataOut.nProfiles*n) - 1 |
|
|
1114 | 1114 | |
|
|
1115 | 1115 | else: |
|
|
1116 | 1116 | |
|
|
1117 | 1117 | #nchannels, nsamples |
|
|
1118 | 1118 | if self.__remData is None: |
|
|
1119 | 1119 | newData = dataOut.data |
|
|
1120 | 1120 | else: |
|
|
1121 | 1121 | newData = numpy.concatenate((self.__remData, dataOut.data), axis=1) |
|
|
1122 | 1122 | |
|
|
1123 | 1123 | self.__profileIndex += 1 |
|
|
1124 | 1124 | |
|
|
1125 | 1125 | if self.__profileIndex < n: |
|
|
1126 | 1126 | self.__remData = newData |
|
|
1127 | 1127 | #continue |
|
|
1128 | 1128 | return |
|
|
1129 | 1129 | |
|
|
1130 | 1130 | self.__profileIndex = 0 |
|
|
1131 | 1131 | self.__remData = None |
|
|
1132 | 1132 | |
|
|
1133 | 1133 | dataOut.data = newData |
|
|
1134 | 1134 | dataOut.flagNoData = False |
|
|
1135 | 1135 | |
|
|
1136 | 1136 | profileIndex = dataOut.profileIndex/n |
|
|
1137 | 1137 | |
|
|
1138 | 1138 | |
|
|
1139 | 1139 | deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
1140 | 1140 | |
|
|
1141 | 1141 | dataOut.heightList = numpy.arange(dataOut.nHeights*n) * deltaHeight + dataOut.heightList[0] |
|
|
1142 | 1142 | |
|
|
1143 | 1143 | dataOut.nProfiles = int(dataOut.nProfiles/n) |
|
|
1144 | 1144 | |
|
|
1145 | 1145 | dataOut.profileIndex = profileIndex |
|
|
1146 | 1146 | |
|
|
1147 | 1147 | dataOut.ippSeconds *= n |
|
|
1148 | 1148 | |
|
|
1149 | 1149 | # import collections |
|
|
1150 | 1150 | # from scipy.stats import mode |
|
|
1151 | 1151 | # |
|
|
1152 | 1152 | # class Synchronize(Operation): |
|
|
1153 | 1153 | # |
|
|
1154 | 1154 | # isConfig = False |
|
|
1155 | 1155 | # __profIndex = 0 |
|
|
1156 | 1156 | # |
|
|
1157 | 1157 | # def __init__(self, **kwargs): |
|
|
1158 | 1158 | # |
|
|
1159 | 1159 | # Operation.__init__(self, **kwargs) |
|
|
1160 | 1160 | # # self.isConfig = False |
|
|
1161 | 1161 | # self.__powBuffer = None |
|
|
1162 | 1162 | # self.__startIndex = 0 |
|
|
1163 | 1163 | # self.__pulseFound = False |
|
|
1164 | 1164 | # |
|
|
1165 | 1165 | # def __findTxPulse(self, dataOut, channel=0, pulse_with = None): |
|
|
1166 | 1166 | # |
|
|
1167 | 1167 | # #Read data |
|
|
1168 | 1168 | # |
|
|
1169 | 1169 | # powerdB = dataOut.getPower(channel = channel) |
|
|
1170 | 1170 | # noisedB = dataOut.getNoise(channel = channel)[0] |
|
|
1171 | 1171 | # |
|
|
1172 | 1172 | # self.__powBuffer.extend(powerdB.flatten()) |
|
|
1173 | 1173 | # |
|
|
1174 | 1174 | # dataArray = numpy.array(self.__powBuffer) |
|
|
1175 | 1175 | # |
|
|
1176 | 1176 | # filteredPower = numpy.correlate(dataArray, dataArray[0:self.__nSamples], "same") |
|
|
1177 | 1177 | # |
|
|
1178 | 1178 | # maxValue = numpy.nanmax(filteredPower) |
|
|
1179 | 1179 | # |
|
|
1180 | 1180 | # if maxValue < noisedB + 10: |
|
|
1181 | 1181 | # #No se encuentra ningun pulso de transmision |
|
|
1182 | 1182 | # return None |
|
|
1183 | 1183 | # |
|
|
1184 | 1184 | # maxValuesIndex = numpy.where(filteredPower > maxValue - 0.1*abs(maxValue))[0] |
|
|
1185 | 1185 | # |
|
|
1186 | 1186 | # if len(maxValuesIndex) < 2: |
|
|
1187 | 1187 | # #Solo se encontro un solo pulso de transmision de un baudio, esperando por el siguiente TX |
|
|
1188 | 1188 | # return None |
|
|
1189 | 1189 | # |
|
|
1190 | 1190 | # phasedMaxValuesIndex = maxValuesIndex - self.__nSamples |
|
|
1191 | 1191 | # |
|
|
1192 | 1192 | # #Seleccionar solo valores con un espaciamiento de nSamples |
|
|
1193 | 1193 | # pulseIndex = numpy.intersect1d(maxValuesIndex, phasedMaxValuesIndex) |
|
|
1194 | 1194 | # |
|
|
1195 | 1195 | # if len(pulseIndex) < 2: |
|
|
1196 | 1196 | # #Solo se encontro un pulso de transmision con ancho mayor a 1 |
|
|
1197 | 1197 | # return None |
|
|
1198 | 1198 | # |
|
|
1199 | 1199 | # spacing = pulseIndex[1:] - pulseIndex[:-1] |
|
|
1200 | 1200 | # |
|
|
1201 | 1201 | # #remover senales que se distancien menos de 10 unidades o muestras |
|
|
1202 | 1202 | # #(No deberian existir IPP menor a 10 unidades) |
|
|
1203 | 1203 | # |
|
|
1204 | 1204 | # realIndex = numpy.where(spacing > 10 )[0] |
|
|
1205 | 1205 | # |
|
|
1206 | 1206 | # if len(realIndex) < 2: |
|
|
1207 | 1207 | # #Solo se encontro un pulso de transmision con ancho mayor a 1 |
|
|
1208 | 1208 | # return None |
|
|
1209 | 1209 | # |
|
|
1210 | 1210 | # #Eliminar pulsos anchos (deja solo la diferencia entre IPPs) |
|
|
1211 | 1211 | # realPulseIndex = pulseIndex[realIndex] |
|
|
1212 | 1212 | # |
|
|
1213 | 1213 | # period = mode(realPulseIndex[1:] - realPulseIndex[:-1])[0][0] |
|
|
1214 | 1214 | # |
|
|
1215 | 1215 | # print "IPP = %d samples" %period |
|
|
1216 | 1216 | # |
|
|
1217 | 1217 | # self.__newNSamples = dataOut.nHeights #int(period) |
|
|
1218 | 1218 | # self.__startIndex = int(realPulseIndex[0]) |
|
|
1219 | 1219 | # |
|
|
1220 | 1220 | # return 1 |
|
|
1221 | 1221 | # |
|
|
1222 | 1222 | # |
|
|
1223 | 1223 | # def setup(self, nSamples, nChannels, buffer_size = 4): |
|
|
1224 | 1224 | # |
|
|
1225 | 1225 | # self.__powBuffer = collections.deque(numpy.zeros( buffer_size*nSamples,dtype=numpy.float), |
|
|
1226 | 1226 | # maxlen = buffer_size*nSamples) |
|
|
1227 | 1227 | # |
|
|
1228 | 1228 | # bufferList = [] |
|
|
1229 | 1229 | # |
|
|
1230 | 1230 | # for i in range(nChannels): |
|
|
1231 | 1231 | # bufferByChannel = collections.deque(numpy.zeros( buffer_size*nSamples, dtype=numpy.complex) + numpy.NAN, |
|
|
1232 | 1232 | # maxlen = buffer_size*nSamples) |
|
|
1233 | 1233 | # |
|
|
1234 | 1234 | # bufferList.append(bufferByChannel) |
|
|
1235 | 1235 | # |
|
|
1236 | 1236 | # self.__nSamples = nSamples |
|
|
1237 | 1237 | # self.__nChannels = nChannels |
|
|
1238 | 1238 | # self.__bufferList = bufferList |
|
|
1239 | 1239 | # |
|
|
1240 | 1240 | # def run(self, dataOut, channel = 0): |
|
|
1241 | 1241 | # |
|
|
1242 | 1242 | # if not self.isConfig: |
|
|
1243 | 1243 | # nSamples = dataOut.nHeights |
|
|
1244 | 1244 | # nChannels = dataOut.nChannels |
|
|
1245 | 1245 | # self.setup(nSamples, nChannels) |
|
|
1246 | 1246 | # self.isConfig = True |
|
|
1247 | 1247 | # |
|
|
1248 | 1248 | # #Append new data to internal buffer |
|
|
1249 | 1249 | # for thisChannel in range(self.__nChannels): |
|
|
1250 | 1250 | # bufferByChannel = self.__bufferList[thisChannel] |
|
|
1251 | 1251 | # bufferByChannel.extend(dataOut.data[thisChannel]) |
|
|
1252 | 1252 | # |
|
|
1253 | 1253 | # if self.__pulseFound: |
|
|
1254 | 1254 | # self.__startIndex -= self.__nSamples |
|
|
1255 | 1255 | # |
|
|
1256 | 1256 | # #Finding Tx Pulse |
|
|
1257 | 1257 | # if not self.__pulseFound: |
|
|
1258 | 1258 | # indexFound = self.__findTxPulse(dataOut, channel) |
|
|
1259 | 1259 | # |
|
|
1260 | 1260 | # if indexFound == None: |
|
|
1261 | 1261 | # dataOut.flagNoData = True |
|
|
1262 | 1262 | # return |
|
|
1263 | 1263 | # |
|
|
1264 | 1264 | # self.__arrayBuffer = numpy.zeros((self.__nChannels, self.__newNSamples), dtype = numpy.complex) |
|
|
1265 | 1265 | # self.__pulseFound = True |
|
|
1266 | 1266 | # self.__startIndex = indexFound |
|
|
1267 | 1267 | # |
|
|
1268 | 1268 | # #If pulse was found ... |
|
|
1269 | 1269 | # for thisChannel in range(self.__nChannels): |
|
|
1270 | 1270 | # bufferByChannel = self.__bufferList[thisChannel] |
|
|
1271 | 1271 | # #print self.__startIndex |
|
|
1272 | 1272 | # x = numpy.array(bufferByChannel) |
|
|
1273 | 1273 | # self.__arrayBuffer[thisChannel] = x[self.__startIndex:self.__startIndex+self.__newNSamples] |
|
|
1274 | 1274 | # |
|
|
1275 | 1275 | # deltaHeight = dataOut.heightList[1] - dataOut.heightList[0] |
|
|
1276 | 1276 | # dataOut.heightList = numpy.arange(self.__newNSamples)*deltaHeight |
|
|
1277 | 1277 | # # dataOut.ippSeconds = (self.__newNSamples / deltaHeight)/1e6 |
|
|
1278 | 1278 | # |
|
|
1279 | 1279 | # dataOut.data = self.__arrayBuffer |
|
|
1280 | 1280 | # |
|
|
1281 | 1281 | # self.__startIndex += self.__newNSamples |
|
|
1282 | 1282 | # |
|
|
1283 | 1283 | # return |
| @@ -1,1 +1,1 | |||
|
|
1 | <Project description="test" id="191" name="john"><ReadUnit datatype="VoltageReader" id="1911" inputId="0" name="VoltageReader"><Operation id="19111" name="run" priority="1" type="self"><Parameter format="str" id="191111" name="server" value="john" /></Operation></ReadUnit><ProcUnit datatype="SpectraProc" id="1912" inputId="1911" name="SpectraProc"><Operation id="19121" name="run" priority="1" type="self"><Parameter format="int" id="191211" name="nFFTPoints" value="64" /></Operation><Operation id="19122" name="SpectraPlot" priority="2" type="other"><Parameter format="int" id="191221" name="id" value="500" /><Parameter format="str" id="191222" name="wintitle" value="Jicamarca Radio Observatory" /><Parameter format="int" id="191223" name="showprofile" value="0" /></Operation></ProcUnit></Project> No newline at end of file | |
|
|
1 | <Project description="test" id="191" name="john"><ReadUnit datatype="VoltageReader" id="1911" inputId="0" name="VoltageReader"><Operation id="19111" name="run" priority="1" type="self"><Parameter format="str" id="191111" name="server" value="tcp://10.10.10.121:5555" /></Operation></ReadUnit><ProcUnit datatype="VoltageProc" id="1912" inputId="1911" name="VoltageProc"><Operation id="19121" name="run" priority="1" type="self" /></ProcUnit></Project> No newline at end of file | |
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