class TemporalBoundingAnalysisFactory(Factory):
class Meta:
model = TemporalBoundingAnalysis
beginDescriptor = lazy_attribute(lambda x: [ValidDescriptorFactory(), None][randint(0, 1)])
beginPrecision = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
beginIndexable = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
beginZoneSpecified = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
beginUtcDateTimeString = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
beginYear = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
beginDayOfYear = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
beginDayOfMonth = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
beginMonth = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
endDescriptor = lazy_attribute(lambda x: [ValidDescriptorFactory(), None][randint(0, 1)])
endPrecision = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
endIndexable = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
endZoneSpecified = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
endUtcDateTimeString = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
endYear = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
endDayOfYear = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
endDayOfMonth = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
endMonth = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
instantDescriptor = lazy_attribute(lambda x: [ValidDescriptorFactory(), None][randint(0, 1)])
instantPrecision = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
instantIndexable = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
instantZoneSpecified = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
instantUtcDateTimeString = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
instantEndUtcDateTimeString = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
instantYear = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
instantDayOfYear = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
instantEndDayOfYear = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
instantDayOfMonth = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
instantEndDayOfMonth = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
instantMonth = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
instantEndMonth = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
rangeDescriptor = lazy_attribute(lambda x: [TimeRangeDescriptorFactory(), None][randint(0, 1)])
class IdentificationAnalysisFactory(Factory):
class Meta:
model = IdentificationAnalysis
fileIdentifierExists = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
fileIdentifierString = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
doiExists = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
doiString = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
parentIdentifierExists = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
parentIdentifierString = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
hierarchyLevelNameExists = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
isGranule = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
class TitleAnalysisFactory(Factory):
class Meta:
model = TitleAnalysis
titleExists = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
titleCharacters = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
alternateTitleExists = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
alternateTitleCharacters = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
titleFleschReadingEaseScore = lazy_attribute(lambda x: [fake.pyfloat(), None][randint(0, 1)])
alternateTitleFleschReadingEaseScore = lazy_attribute(lambda x: [fake.pyfloat(), None][randint(0, 1)])
titleFleschKincaidReadingGradeLevel = lazy_attribute(lambda x: [fake.pyfloat(), None][randint(0, 1)])
alternateTitleFleschKincaidReadingGradeLevel = lazy_attribute(lambda x: [fake.pyfloat(), None][randint(0, 1)])
class DescriptionAnalysisFactory(Factory):
class Meta:
model = DescriptionAnalysis
descriptionExists = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
descriptionCharacters = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
descriptionFleschReadingEaseScore = lazy_attribute(lambda x: [fake.pyfloat(), None][randint(0, 1)])
descriptionFleschKincaidReadingGradeLevel = lazy_attribute(lambda x: [fake.pyfloat(), None][randint(0, 1)])
class InputEventFactory(Factory):
class Meta:
model = InputEvent
timestamp = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
method = lazy_attribute(lambda x: [MethodFactory(), None][randint(0, 1)])
source = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
operation = lazy_attribute(lambda x: [OperationTypeFactory(), None][randint(0, 1)])
failedState = lazy_attribute(lambda x: fake.pybool())
class FileLocationFactory(Factory):
class Meta:
model = FileLocation
uri = lazy_attribute(lambda x: fake.pystr())
type = lazy_attribute(
lambda x: [FileLocationTypeFactory(), None][randint(0, 1)])
deleted = lazy_attribute(lambda x: fake.pybool())
restricted = lazy_attribute(lambda x: fake.pybool())
asynchronous = lazy_attribute(lambda x: fake.pybool())
locality = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
lastModified = lazy_attribute(
lambda x: [fake.pyint(), None][randint(0, 1)])
serviceType = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
optionalAttributes = lazy_attribute(
lambda x: {fake.pystr(): fake.pystr()
for _ in range(randint(3, 10))})
class DiscoveryFactory(Factory):
class Meta:
model = Discovery
fileIdentifier = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
parentIdentifier = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
hierarchyLevelName = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
doi = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
purpose = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
status = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
credit = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
title = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
alternateTitle = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
description = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
keywords = lazy_attribute(lambda x: [KeywordsElementFactory() for _ in range(randint(1, 5))])
topicCategories = lazy_attribute(lambda x: [fake.pystr() for _ in range(randint(1, 5))])
temporalBounding = lazy_attribute(lambda x: [TemporalBoundingFactory(), None][randint(0, 1)])
spatialBounding = lazy_attribute(lambda x: [None, PointFactory(), MultiPointFactory(), LineStringFactory(), MultiLineStringFactory(), PolygonFactory(), MultiPolygonFactory()][randint(0, 6)])
isGlobal = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
acquisitionInstruments = lazy_attribute(lambda x: [InstrumentsFactory() for _ in range(randint(1, 5))])
acquisitionOperations = lazy_attribute(lambda x: [OperationFactory() for _ in range(randint(1, 5))])
acquisitionPlatforms = lazy_attribute(lambda x: [PlatformFactory() for _ in range(randint(1, 5))])
dataFormats = lazy_attribute(lambda x: [DataFormatFactory() for _ in range(randint(1, 5))])
links = lazy_attribute(lambda x: [LinkFactory() for _ in range(randint(1, 5))])
responsibleParties = lazy_attribute(lambda x: [ResponsiblePartyFactory() for _ in range(randint(1, 5))])
thumbnail = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
thumbnailDescription = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
creationDate = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
revisionDate = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
publicationDate = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
citeAsStatements = lazy_attribute(lambda x: [fake.pystr() for _ in range(randint(1, 5))])
crossReferences = lazy_attribute(lambda x: [ReferenceFactory() for _ in range(randint(1, 5))])
largerWorks = lazy_attribute(lambda x: [ReferenceFactory() for _ in range(randint(1, 5))])
useLimitation = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
legalConstraints = lazy_attribute(lambda x: [fake.pystr() for _ in range(randint(1, 5))])
accessFeeStatement = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
orderingInstructions = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
edition = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
dsmmAccessibility = lazy_attribute(lambda x: fake.pyint())
dsmmDataIntegrity = lazy_attribute(lambda x: fake.pyint())
dsmmDataQualityAssessment = lazy_attribute(lambda x: fake.pyint())
dsmmDataQualityAssurance = lazy_attribute(lambda x: fake.pyint())
dsmmDataQualityControlMonitoring = lazy_attribute(lambda x: fake.pyint())
dsmmPreservability = lazy_attribute(lambda x: fake.pyint())
dsmmProductionSustainability = lazy_attribute(lambda x: fake.pyint())
dsmmTransparencyTraceability = lazy_attribute(lambda x: fake.pyint())
dsmmUsability = lazy_attribute(lambda x: fake.pyint())
dsmmAverage = lazy_attribute(lambda x: fake.pyfloat())
updateFrequency = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
presentationForm = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
services = lazy_attribute(lambda x: [ServiceFactory() for _ in range(randint(1, 5))])
class AggregatedInputFactory(Factory):
class Meta:
model = AggregatedInput
rawJson = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
rawXml = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])
initialSource = lazy_attribute(
lambda x: [fake.pystr(), None][randint(0, 1)])
type = lazy_attribute(lambda x: [RecordTypeFactory(), None][randint(0, 1)])
fileInformation = lazy_attribute(
lambda x: [FileInformationFactory(), None][randint(0, 1)])
fileLocations = lazy_attribute(
lambda x:
{fake.pystr(): FileLocationFactory()
for _ in range(randint(3, 10))})
publishing = lazy_attribute(
lambda x: [PublishingFactory(), None][randint(0, 1)])
relationships = lazy_attribute(
lambda x: [RelationshipFactory() for _ in range(randint(1, 5))])
deleted = lazy_attribute(lambda x: fake.pybool())
events = lazy_attribute(
lambda x: [InputEventFactory() for _ in range(randint(1, 5))])
errors = lazy_attribute(
lambda x: [ErrorEventFactory() for _ in range(randint(1, 5))])
class PublishingFactory(Factory):
class Meta:
model = Publishing
isPrivate = lazy_attribute(lambda x: fake.pybool())
until = lazy_attribute(lambda x: [fake.pyint(), None][randint(0, 1)])
class ThumbnailAnalysisFactory(Factory):
class Meta:
model = ThumbnailAnalysis
thumbnailExists = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
class DataAccessAnalysisFactory(Factory):
class Meta:
model = DataAccessAnalysis
dataAccessExists = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
class SpatialBoundingAnalysisFactory(Factory):
class Meta:
model = SpatialBoundingAnalysis
spatialBoundingExists = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
isValid = lazy_attribute(lambda x: [fake.pybool(), None][randint(0, 1)])
validationError = lazy_attribute(lambda x: [fake.pystr(), None][randint(0, 1)])