def pipeline_crossref(self):
xylose_article = CustomArticle(self._article)
ppl = plumber.Pipeline(
export_crossref.SetupDoiBatchPipe(), export_crossref.XMLHeadPipe(),
export_crossref.XMLBodyPipe(), export_crossref.XMLDoiBatchIDPipe(),
export_crossref.XMLTimeStampPipe(),
export_crossref.XMLDepositorPipe(),
export_crossref.XMLRegistrantPipe(),
export_crossref.XMLJournalPipe(),
export_crossref.XMLJournalMetadataPipe(),
export_crossref.XMLJournalTitlePipe(),
export_crossref.XMLAbbreviatedJournalTitlePipe(),
export_crossref.XMLISSNPipe(),
export_crossref.XMLJournalIssuePipe(),
export_crossref.XMLPubDatePipe(), export_crossref.XMLVolumePipe(),
export_crossref.XMLIssuePipe(),
export_crossref.XMLJournalArticlePipe(),
export_crossref.XMLArticleTitlesPipe(),
export_crossref.XMLArticleTitlePipe(),
export_crossref.XMLArticleContributorsPipe(),
export_crossref.XMLArticleAbstractPipe(),
export_crossref.XMLArticlePubDatePipe(),
export_crossref.XMLPagesPipe(), export_crossref.XMLPIDPipe(),
export_crossref.XMLPermissionsPipe(),
export_crossref.XMLElocationPipe(),
export_crossref.XMLDOIDataPipe(), export_crossref.XMLDOIPipe(),
export_crossref.XMLResourcePipe(),
export_crossref.XMLCollectionPipe(),
export_crossref.XMLArticleCitationsPipe(),
export_crossref.XMLClosePipe())
transformed_data = ppl.run(xylose_article, rewrap=True)
return next(transformed_data)
def test_article_pid_element(self):
xmlcrossref = ET.Element('doi_batch')
journal_article = ET.Element('journal_article')
journal_article.set('publication_type', 'full_text')
journal = ET.Element('journal')
journal.append(journal_article)
body = ET.Element('body')
body.append(journal)
xmlcrossref.append(body)
data = [self._article_meta, xmlcrossref]
xmlcrossref = export_crossref.XMLPIDPipe()
raw, xml = xmlcrossref.transform(data)
self.assertEqual(
b'<doi_batch><body><journal><journal_article publication_type="full_text"><publisher_item><identifier id_type="pii">S0034-89102010000400007</identifier></publisher_item></journal_article></journal></body></doi_batch>',
ET.tostring(xml))