Пример #1
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 def create(self,
            dataset: Dataset,
            parent: str = "root") -> Tuple[int, str]:
     req = self.api.create_dataset(parent, dataset.asdict())
     resp = self.transport.send(req)
     data = resp.json()["data"]
     return data["id"], data["persistentId"]
Пример #2
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def test_minimal_dataset(dataverse_minimal_json_record):
    author = Author(authorName="Finch, Fiona", authorAffiliation="Birds Inc.")
    contact = Contact(datasetContactName="Finch, Fiona",
                      datasetContactEmail="*****@*****.**")
    description = Description(dsDescriptionValue="Darwin's finches (also known"
                              " as the Galápagos finches) are a group of about"
                              " fifteen species of passerine birds.")
    new_record = Dataset(
        authors=[author],
        contacts=[contact],
        description=[description],
        subjects=["Medicine, Health and Life Sciences"],
        title="Darwin's Finches",
    )
    assert new_record.asdict() == dataverse_minimal_json_record
Пример #3
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def test_inadequate_dataset(dataverse_minimal_json_record):
    with pytest.raises(ValueError):
        contact = Contact(
            datasetContactName="Finch, Fiona",
            datasetContactEmail="*****@*****.**",
        )
        description = Description(
            dsDescriptionValue="Darwin's finches (also known"
            " as the Galápagos finches) are a group of about"
            " fifteen species of passerine birds.")
        new_record = Dataset(
            authors=[],
            contacts=[contact],
            description=[description],
            subjects=["Medicine, Health and Life Sciences"],
            title="Darwin's Finches",
        )
        assert new_record.asdict() == dataverse_minimal_json_record
Пример #4
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def test_asdict_removes_null_values(dataverse_partial_json_record):
    author = Author(
        authorName="LastAuthor1, FirstAuthor1",
        authorAffiliation="AuthorAffiliation1",
    )
    contact = Contact(
        datasetContactName="LastContact1, FirstContact1",
        datasetContactEmail="*****@*****.**",
    )
    description = Description(dsDescriptionValue="DescriptionText 1", )
    contributors = Contributor(
        contributorName="LastContributor1, FirstContributor1", )
    distributors = Distributor(
        distributorName="LastDistributor1, FirstDistributor1", )
    keywords = Keyword(keywordValue="KeywordTerm1")
    grantNumbers = GrantNumber(
        grantNumberValue="GrantInformationGrantNumber1", )
    otherIds = OtherId(otherIdValue="OtherIDIdentifier1", )
    producers = Producer(producerName="LastProducer1, FirstProducer1", )
    publications = Publication(
        publicationCitation="RelatedPublicationCitation1",
        publicationURL="http://RelatedPublicationURL1.org",
    )
    series = Series(seriesInformation="SeriesInformation", )
    new_record = Dataset(
        authors=[author],
        contacts=[contact],
        description=[description],
        subjects=["Agricultural Sciences"],
        title="Replication Data for: Title",
        keywords=[keywords],
        otherIds=[otherIds],
        publications=[publications],
        producers=[producers],
        contributors=[contributors],
        grantNumbers=[grantNumbers],
        distributors=[distributors],
        kindOfData=None,
        series=series,
    )
    assert json.dumps(new_record.asdict(), sort_keys=True) == json.dumps(
        dataverse_partial_json_record, sort_keys=True)
Пример #5
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def test_full_dataset(dataverse_full_json_record):
    author = Author(
        authorName="LastAuthor1, FirstAuthor1",
        authorAffiliation="AuthorAffiliation1",
        authorIdentifier="AuthorIdentifier1",
        authorIdentifierScheme="ORCID",
    )
    contact = Contact(
        datasetContactName="LastContact1, FirstContact1",
        datasetContactEmail="*****@*****.**",
        datasetContactAffiliation="ContactAffiliation1",
    )
    description = Description(dsDescriptionValue="DescriptionText 1",
                              dsDescriptionDate="1000-01-01")
    contributors = Contributor(
        contributorName="LastContributor1, FirstContributor1",
        contributorType="Data Collector",
    )
    distributors = Distributor(
        distributorName="LastDistributor1, FirstDistributor1",
        distributorURL="http://DistributorURL1.org",
    )
    keywords = Keyword(keywordValue="KeywordTerm1")
    grantNumbers = GrantNumber(
        grantNumberValue="GrantInformationGrantNumber1",
        grantNumberAgency="GrantInformationGrantAgency1",
        grantNumberInformation="GrantInformationInformation1",
    )
    otherIds = OtherId(
        otherIdValue="OtherIDIdentifier1",
        otherIdAgency="OtherIDAgency1",
    )
    producers = Producer(
        producerName="LastProducer1, FirstProducer1",
        producerURL="http://ProducerURL1.org",
    )
    publications = Publication(
        publicationCitation="RelatedPublicationCitation1",
        publicationIDNumber="RelatedPublicationIDNumber1",
        publicationIDType="ark",
        publicationURL="http://RelatedPublicationURL1.org",
    )
    series = Series(seriesName="SeriesName",
                    seriesInformation="SeriesInformation")
    timePeriodsCovered = TimePeriodCovered(
        timePeriodCoveredStart="1005-01-01",
        timePeriodCoveredEnd="1005-01-02",
    )
    new_record = Dataset(
        authors=[author],
        alternativeURL="http://AlternativeURL.org",
        contacts=[contact],
        description=[description],
        subjects=[
            "Agricultural Sciences",
            "Business and Management",
            "Engineering",
            "Law",
        ],
        title="Replication Data for: Title",
        keywords=[keywords],
        otherIds=[otherIds],
        publications=[publications],
        notesText="Notes1",
        producers=[producers],
        productionPlace="ProductionPlace",
        contributors=[contributors],
        grantNumbers=[grantNumbers],
        distributors=[distributors],
        distributionDate="1004-01-01",
        language=["English"],
        timePeriodsCovered=[timePeriodsCovered],
        kindOfData=["KindOfData1", "KindOfData2"],
        series=series,
        license="CC0",
        termsOfUse="CC0 Waiver",
    )
    assert json.dumps(new_record.asdict(),
                      sort_keys=True) == json.dumps(dataverse_full_json_record,
                                                    sort_keys=True)