Mercurial > hg > orthanc-tests
annotate PerfsDb/DbPopulator.py @ 161:27b3b0df5f90
2 upload tests
| author | am@osimis.io |
|---|---|
| date | Fri, 17 Aug 2018 17:24:11 +0200 |
| parents | df1f9946571c |
| children | dbc42a03ee75 |
| rev | line source |
|---|---|
| 156 | 1 import typing |
| 161 | 2 import time |
| 156 | 3 from orthancRestApi import OrthancClient |
| 161 | 4 from TestResult import TestResult |
| 156 | 5 from DbSize import DbSize |
| 6 | |
| 7 class DbPopulator: | |
| 8 | |
| 9 def __init__(self, orthanc: OrthancClient, dbSize: DbSize): | |
| 10 self._orthanc = orthanc | |
| 11 self._dbSize = dbSize | |
| 12 self._sourceInstanceId = None | |
| 161 | 13 self._fileCounter = 0 |
| 14 | |
| 156 | 15 def populate(self): |
| 16 self._sourceInstanceId = self._orthanc.uploadDicomFile("../Database/DummyCT.dcm") | |
| 17 | |
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18 if self._dbSize == DbSize.Tiny: |
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19 patientCount = 1 |
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20 smallStudiesPerPatient = 2 |
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21 largeStudiesPerPatient = 1 |
| 161 | 22 seriesPerSmallStudy = 1 |
| 23 seriesPerLargeStudy = 2 | |
| 24 instancesPerSmallSeries = 1 | |
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25 instancesPerLargeSeries = 5 |
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26 elif self._dbSize == DbSize.Small: |
| 161 | 27 patientCount = 100 |
| 156 | 28 smallStudiesPerPatient = 2 |
| 29 largeStudiesPerPatient = 1 | |
| 161 | 30 seriesPerSmallStudy = 1 |
| 31 seriesPerLargeStudy = 2 | |
| 32 instancesPerSmallSeries = 1 | |
| 33 instancesPerLargeSeries = 30 | |
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34 elif self._dbSize == DbSize.Medium: |
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35 patientCount = 1000 |
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36 smallStudiesPerPatient = 2 |
| 161 | 37 largeStudiesPerPatient = 2 |
| 38 seriesPerSmallStudy = 1 | |
| 39 seriesPerLargeStudy = 2 | |
| 40 instancesPerSmallSeries = 1 | |
| 41 instancesPerLargeSeries = 300 | |
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42 elif self._dbSize == DbSize.Large: |
| 161 | 43 patientCount = 10000 |
| 44 smallStudiesPerPatient = 2 | |
| 45 largeStudiesPerPatient = 2 | |
| 46 seriesPerSmallStudy = 1 | |
| 47 seriesPerLargeStudy = 2 | |
| 48 instancesPerSmallSeries = 1 | |
| 49 instancesPerLargeSeries = 300 | |
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50 else: |
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51 raise NotImplementedError |
| 156 | 52 |
| 161 | 53 print("Will generate data for (approximately):") |
| 54 print("{n:>12} patients".format(n=patientCount)) | |
| 55 print("{n:>12} studies".format(n=patientCount * (smallStudiesPerPatient + largeStudiesPerPatient))) | |
| 56 print("{n:>12} instances".format(n=patientCount * (smallStudiesPerPatient * seriesPerSmallStudy * instancesPerSmallSeries + largeStudiesPerPatient * seriesPerLargeStudy * instancesPerLargeSeries))) | |
| 57 | |
| 58 startTime = time.time() | |
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59 # first add data that are the same in small and large DBs (and that can be used in tests for comparing the same things !!) |
| 156 | 60 |
| 61 # used in TestFindStudyByPatientId5Results | |
| 62 self.createStudy(studyIndex=99994, patientIndex=99998, seriesCount=1, instancesPerSeries=1) | |
| 63 self.createStudy(studyIndex=99995, patientIndex=99998, seriesCount=1, instancesPerSeries=1) | |
| 64 self.createStudy(studyIndex=99996, patientIndex=99998, seriesCount=1, instancesPerSeries=1) | |
| 65 self.createStudy(studyIndex=99997, patientIndex=99998, seriesCount=1, instancesPerSeries=1) | |
| 66 self.createStudy(studyIndex=99998, patientIndex=99998, seriesCount=1, instancesPerSeries=1) | |
| 67 | |
| 68 # used in TestFindStudyByStudyDescription1Result | |
| 69 # used in TestFindStudyByPatientId1Result | |
| 70 self.createStudy(studyIndex=99999, patientIndex=99999, seriesCount=1, instancesPerSeries=1) | |
| 71 | |
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72 # then, add data to make the DB "large" or "small" |
| 156 | 73 for patientIndex in range(0, patientCount): |
| 74 studyIndex=0 | |
| 75 print("Generating data for patient " + str(patientIndex)) | |
| 76 for i in range(0, smallStudiesPerPatient): | |
| 77 print("Generating small study " + str(i)) | |
| 161 | 78 self.createStudy(studyIndex=studyIndex, patientIndex=patientIndex, seriesCount=seriesPerSmallStudy, instancesPerSeries=instancesPerSmallSeries) |
| 156 | 79 studyIndex+=1 |
| 80 for i in range(0, largeStudiesPerPatient): | |
| 81 print("Generating large study " + str(i)) | |
| 161 | 82 self.createStudy(studyIndex=studyIndex, patientIndex=patientIndex, seriesCount=seriesPerLargeStudy, instancesPerSeries=instancesPerLargeSeries) |
| 156 | 83 studyIndex+=1 |
| 84 | |
| 161 | 85 endTime = time.time() |
| 86 print("Generation completed. Elapsed time: {duration:.2f} sec".format(duration=endTime-startTime)) | |
| 87 print("Uploaded {n} files -> {p:.2f} files/sec".format(n=self._fileCounter, p=self._fileCounter/(endTime-startTime))) | |
| 156 | 88 |
| 89 def createStudy(self, studyIndex: int, patientIndex: int, seriesCount: int, instancesPerSeries: int): | |
| 90 for seriesIndex in range(0, seriesCount): | |
| 91 for instanceIndex in range(0, instancesPerSeries): | |
| 92 dicomFile = self.createDicomFile(patientIndex=patientIndex, studyIndex=studyIndex, seriesIndex=seriesIndex, instanceIndex=instanceIndex) | |
| 93 self._orthanc.uploadDicom(dicomFile) | |
| 94 | |
| 95 def createDicomFile(self, patientIndex: int, studyIndex: int, seriesIndex: int, instanceIndex: int) -> object: | |
| 161 | 96 self._fileCounter += 1 |
| 156 | 97 return self._orthanc.instances.modify( |
| 98 instanceId=self._sourceInstanceId, | |
| 99 replaceTags={ | |
| 100 "PatientName": "Patient-" + str(patientIndex), | |
| 101 "PatientID": str(patientIndex), | |
| 102 "StudyDescription": str(patientIndex) + "-" + str(studyIndex), | |
| 103 "SeriesDescription": str(patientIndex) + "-" + str(studyIndex) + "-" + str(seriesIndex), | |
| 104 "SOPInstanceUID": str(patientIndex) + "." + str(studyIndex) + "." + str(seriesIndex) + "." + str(instanceIndex), | |
| 105 "StudyInstanceUID": str(patientIndex) + "." + str(studyIndex), | |
| 106 "SeriesInstanceUID": str(patientIndex) + "." + str(studyIndex) + "." + str(seriesIndex), | |
| 107 "SeriesNumber": str(seriesIndex), | |
| 108 "InstanceNumber": str(instanceIndex) | |
| 109 }, | |
| 110 deleteOriginal=False | |
| 111 ) |