1 | import unittest |
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2 | import os, shutil |
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3 | |||
4 | |||
5 | class ApiTests(unittest.TestCase): |
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6 | |||
7 | def setUp(self): |
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8 | self.dbpath = os.path.expanduser(os.path.join('~','provenance.json')) |
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9 | if os.path.exists(self.dbpath): |
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10 | shutil.move(self.dbpath, self.dbpath.replace('.json','.backup.json')) |
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11 | os.mkdir('temp') |
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12 | |||
13 | def tearDown(self): |
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14 | if os.path.exists(self.dbpath): |
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15 | shutil.move(self.dbpath, self.dbpath.replace('.json','.test.json')) |
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16 | shutil.rmtree('temp') |
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17 | |||
18 | def test_Discover(self): |
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19 | import niprov |
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20 | niprov.discover('testdata') |
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21 | img = niprov.ProvenanceContext().get().byLocation(os.path.abspath('testdata/dicom/T1.dcm')) |
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22 | self.assertEqual(img.provenance['dimensions'], [80, 80, 10]) |
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23 | img = niprov.ProvenanceContext().get().byLocation(os.path.abspath('testdata/eeg/stub.cnt')) |
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24 | self.assertEqual(img.provenance['subject'], 'Jane Doe') |
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25 | |||
26 | def test_Export_terminal(self): |
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27 | import niprov |
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28 | niprov.discover('testdata') |
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29 | pth = os.path.abspath('testdata/dicom/T1.dcm') |
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30 | provenance = niprov.ProvenanceContext().get().byLocation(pth) |
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31 | niprov.print_(provenance) |
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32 | |||
33 | View Code Duplication | def test_Log(self): |
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34 | import niprov |
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35 | niprov.discover('testdata') |
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36 | newfile = os.path.abspath('temp/smoothed.test') |
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37 | self.touch(newfile) |
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38 | niprov.log(newfile, 'test', os.path.abspath('testdata/eeg/stub.cnt')) |
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39 | img = niprov.ProvenanceContext().get().byLocation(newfile) |
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40 | self.assertEqual(img.provenance['subject'], 'Jane Doe') |
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41 | self.assertEqual(img.provenance['size'], os.path.getsize(newfile)) |
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42 | |||
43 | def test_Narrative_file(self): |
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44 | import niprov |
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45 | niprov.discover('testdata') |
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46 | pth = os.path.abspath('testdata/dicom/T1.dcm') |
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47 | provenance = niprov.ProvenanceContext().get().byLocation(pth) |
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48 | text = niprov.export(provenance, 'direct','narrated') |
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49 | self.assertEqual(text, ("This is a T1 image. It was recorded August 5, " |
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50 | "2014. The participant's name is 05aug14test. It is 158KB in size. ")) |
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51 | |||
52 | # def test_Narrative_pipeline(self): |
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53 | # import niprov |
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54 | # niprov.discover('testdata') |
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55 | # self.touch('temp/smoothed.test') |
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56 | # niprov.log('temp/smoothed.test','spatial smoothing', |
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57 | # 'testdata/parrec/T2.PAR') |
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58 | # self.touch('temp/stats.test') |
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59 | # niprov.log('temp/stats.test','t-test','temp/smoothed.test') |
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60 | # text = niprov.export(format='narrative', forPipeline='temp/stats.test') |
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61 | # self.assertEqual(text, ("A T2 image was recorded. A spatial smoothing " |
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62 | # "was then applied. A t-test was then applied.")) |
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63 | |||
64 | def test_Rename(self): |
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65 | try: |
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66 | import niprov |
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67 | files, directory = self.createExtensionlessFiles() |
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68 | niprov.renameDicoms(directory) |
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69 | assert not os.path.isfile(files[0]) |
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70 | assert os.path.isfile(files[0]+'.dcm') |
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71 | finally: |
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72 | self.clearDicomfiles() |
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73 | |||
74 | def test_bySubject(self): |
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75 | import niprov |
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76 | niprov.discover('testdata') |
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77 | provenance = niprov.ProvenanceContext().get().bySubject('05aug14test') |
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78 | niprov.print_(provenance) |
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79 | |||
80 | def createExtensionlessFiles(self): |
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81 | if not os.path.exists('dicomdir'): |
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82 | os.makedirs('dicomdir') |
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83 | files = [] |
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84 | for n in range(5): |
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85 | f = os.path.join('dicomdir',str(n)) |
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86 | files.append(f) |
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87 | with open(f,'w') as fhandle: |
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88 | fhandle.write('x') |
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89 | return files, 'dicomdir' |
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90 | |||
91 | def clearDicomfiles(self): |
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92 | shutil.rmtree('dicomdir') |
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93 | |||
94 | def touch(self, path): |
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95 | with open(path,'w') as tempfile: |
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96 | tempfile.write('0') |
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97 | |||
98 | |||
99 |