def test_refextract_from_pdf(mocked_indexing_task, mocked_api_request_magpie,
mocked_api_request_beard, mocked_is_pdf_link,
mocked_package_download, mocked_arxiv_download,
workflow_app, mocked_external_services):
"""Test refextract from PDF and reference matching for default Configuration
by going through the entire workflow."""
cited_record_json = {
'$schema':
'http://localhost:5000/schemas/records/hep.json',
'_collections': ['Literature'],
'arxiv_eprints': [{
'categories': [
'quant-ph', 'cond-mat.mes-hall', 'cond-mat.str-el', 'math-ph',
'math.MP'
],
'value':
'1308.0815'
}],
'control_number':
1000,
'document_type': ['article'],
'titles': [{
'source':
'arXiv',
'title':
'Solving a two-electron quantum dot model in terms of polynomial solutions of a Biconfluent Heun equation'
}],
}
TestRecordMetadata.create_from_kwargs(json=cited_record_json,
index='records-hep',
pid_type='lit')
citing_record, categories = insert_citing_record()
extra_config = {
"BEARD_API_URL": "http://example.com/beard",
"MAGPIE_API_URL": "http://example.com/magpie",
'ARXIV_CATEGORIES': categories,
}
schema = load_schema('hep')
subschema = schema['properties']['acquisition_source']
assert validate(citing_record['acquisition_source'], subschema) is None
with mock.patch.dict(workflow_app.config, extra_config):
workflow_id = build_workflow(citing_record).id
citing_doc_workflow_uuid = start('article', object_id=workflow_id)
citing_doc_eng = WorkflowEngine.from_uuid(citing_doc_workflow_uuid)
citing_doc_obj = citing_doc_eng.processed_objects[0]
assert citing_doc_obj.data['references'][7]['record'][
'$ref'] == 'http://localhost:5000/api/literature/1000'
assert citing_doc_obj.data['references'][0]['raw_refs'][0][
'source'] == 'arXiv'
def test_refextract_from_pdf(
mocked_indexing_task,
mocked_api_request_magpie,
mocked_api_request_beard,
mocked_is_pdf_link,
mocked_package_download,
mocked_arxiv_download,
workflow_app,
mocked_external_services
):
"""Test refextract from PDF and reference matching for default Configuration
by going through the entire workflow."""
cited_record_json = {
'$schema': 'http://localhost:5000/schemas/records/hep.json',
'_collections': ['Literature'],
'arxiv_eprints': [
{
'categories': ['quant-ph', 'cond-mat.mes-hall', 'cond-mat.str-el', 'math-ph', 'math.MP'],
'value': '1308.0815'
}
],
'control_number': 1000,
'document_type': ['article'],
'titles': [
{
'source': 'arXiv',
'title': 'Solving a two-electron quantum dot model in terms of polynomial solutions of a Biconfluent Heun equation'
}
],
}
TestRecordMetadata.create_from_kwargs(
json=cited_record_json, index='records-hep', pid_type='lit')
citing_record, categories = insert_citing_record()
extra_config = {
"BEARD_API_URL": "http://example.com/beard",
"MAGPIE_API_URL": "http://example.com/magpie",
'ARXIV_CATEGORIES': categories,
}
schema = load_schema('hep')
subschema = schema['properties']['acquisition_source']
assert validate(citing_record['acquisition_source'], subschema) is None
with mock.patch.dict(workflow_app.config, extra_config):
workflow_id = build_workflow(citing_record).id
citing_doc_workflow_uuid = start('article', object_id=workflow_id)
citing_doc_eng = WorkflowEngine.from_uuid(citing_doc_workflow_uuid)
citing_doc_obj = citing_doc_eng.processed_objects[0]
assert citing_doc_obj.data['references'][7]['record']['$ref'] == 'http://localhost:5000/api/literature/1000'
assert citing_doc_obj.data['references'][0]['raw_refs'][0]['source'] == 'arXiv'