def test_group_terms(self):
""":meth:`._group_terms` groups terms using logical precedence."""
query = AdvancedQuery(terms=FieldedSearchList([
FieldedSearchTerm(operator=None, field='title', term='muon'),
FieldedSearchTerm(operator='OR', field='title', term='gluon'),
FieldedSearchTerm(operator='NOT', field='title', term='foo'),
FieldedSearchTerm(operator='AND', field='title', term='boson'),
]))
expected = (
FieldedSearchTerm(operator=None, field='title', term='muon'),
'OR',
(
(
FieldedSearchTerm(operator='OR', field='title', term='gluon'),
'NOT',
FieldedSearchTerm(operator='NOT', field='title', term='foo')
),
'AND',
FieldedSearchTerm(operator='AND', field='title', term='boson')
)
)
try:
terms = advanced._group_terms(query)
except AssertionError:
self.fail('Should result in a single group')
self.assertEqual(expected, terms)
def _update_query_with_terms(q: AdvancedQuery, terms_data: list) \
-> AdvancedQuery:
q.terms = FieldedSearchList([
FieldedSearchTerm(**term) # type: ignore
for term in terms_data if term['term']
])
return q
def test_group_terms(self):
""":meth:`._group_terms` groups terms using logical precedence."""
query = AdvancedQuery(terms=FieldedSearchList([
FieldedSearchTerm(operator=None, field="title", term="muon"),
FieldedSearchTerm(operator="OR", field="title", term="gluon"),
FieldedSearchTerm(operator="NOT", field="title", term="foo"),
FieldedSearchTerm(operator="AND", field="title", term="boson"),
]))
expected = (
FieldedSearchTerm(operator=None, field="title", term="muon"),
"OR",
(
(
FieldedSearchTerm(operator="OR",
field="title",
term="gluon"),
"NOT",
FieldedSearchTerm(operator="NOT",
field="title",
term="foo"),
),
"AND",
FieldedSearchTerm(operator="AND", field="title", term="boson"),
),
)
try:
terms = advanced._group_terms(query)
except AssertionError:
self.fail("Should result in a single group")
self.assertEqual(expected, terms)
def _get_fielded_terms(
params: MultiDict,
query_terms: List,
operators: Optional[Dict[str, Any]] = None,
) -> Optional[FieldedSearchList]:
if operators is None:
operators = defaultdict(default_factory=lambda: "AND")
terms = FieldedSearchList()
for field, _ in Query.SUPPORTED_FIELDS:
values = params.getlist(field)
for value in values:
query_terms.append({"parameter": field, "value": value})
terms.append(
FieldedSearchTerm( # type: ignore
operator=operators[field],
field=field,
term=value))
if not terms:
return None
return terms
def test_advanced_query(self, mock_Elasticsearch, mock_Search):
""":class:`.index.search` supports :class:`AdvancedQuery`."""
mock_results = mock.MagicMock()
mock_results.__getitem__.return_value = {'total': 53}
rdata = dict(authors=[{'full_name': 'N. Ame'}],
owners=[{'full_name': 'N. Ame'}],
submitter={'full_name': 'N. Ame'},
paper_id='1234.56789')
mock_result = mock.MagicMock(_d_=rdata, **rdata)
mock_result.meta.score = 1
mock_results.__iter__.return_value = [mock_result]
mock_Search.execute.return_value = mock_results
# Support the chaining API for py-ES.
mock_Search.return_value = mock_Search
mock_Search.filter.return_value = mock_Search
mock_Search.highlight.return_value = mock_Search
mock_Search.highlight_options.return_value = mock_Search
mock_Search.query.return_value = mock_Search
mock_Search.sort.return_value = mock_Search
mock_Search.__getitem__.return_value = mock_Search
query = AdvancedQuery(
order='relevance',
size=10,
date_range=DateRange(
start_date=datetime.now() - timedelta(days=5),
end_date=datetime.now()
),
classification=ClassificationList([
Classification(
group={'id': 'physics'},
archive={'id': 'physics'},
category={'id': 'hep-th'}
)
]),
terms=FieldedSearchList([
FieldedSearchTerm(operator='AND', field='title', term='foo'),
FieldedSearchTerm(operator='AND', field='author', term='joe'),
FieldedSearchTerm(operator='OR', field='abstract', term='hmm'),
FieldedSearchTerm(operator='NOT', field='comments', term='eh'),
FieldedSearchTerm(operator='AND', field='journal_ref',
term='jref (1999) 1:2-3'),
FieldedSearchTerm(operator='AND', field='acm_class',
term='abc123'),
FieldedSearchTerm(operator='AND', field='msc_class',
term='abc123'),
FieldedSearchTerm(operator='OR', field='report_num',
term='abc123'),
FieldedSearchTerm(operator='OR', field='doi',
term='10.01234/56789'),
FieldedSearchTerm(operator='OR', field='orcid',
term='0000-0000-0000-0000'),
FieldedSearchTerm(operator='OR', field='author_id',
term='Bloggs_J'),
])
)
document_set = index.SearchSession.search(query)
# self.assertIsInstance(document_set, DocumentSet)
self.assertEqual(document_set['metadata']['start'], 0)
self.assertEqual(document_set['metadata']['total'], 53)
self.assertEqual(document_set['metadata']['current_page'], 1)
self.assertEqual(document_set['metadata']['total_pages'], 6)
self.assertEqual(document_set['metadata']['size'], 10)
self.assertEqual(len(document_set['results']), 1)
def test_advanced_query(self, mock_Elasticsearch, mock_Search):
""":class:`.index.search` supports :class:`AdvancedQuery`."""
mock_results = mock.MagicMock()
mock_results.__getitem__.return_value = {"total": 53}
rdata = mock_rdata()
mock_result = mock.MagicMock(_d_=rdata, **rdata)
mock_result.meta.score = 1
mock_results.__iter__.return_value = [mock_result]
mock_Search.execute.return_value = mock_results
# Support the chaining API for py-ES.
mock_Search.return_value = mock_Search
mock_Search.filter.return_value = mock_Search
mock_Search.highlight.return_value = mock_Search
mock_Search.highlight_options.return_value = mock_Search
mock_Search.query.return_value = mock_Search
mock_Search.sort.return_value = mock_Search
mock_Search.__getitem__.return_value = mock_Search
query = AdvancedQuery(
order="relevance",
size=10,
date_range=DateRange(
start_date=datetime.now() - timedelta(days=5),
end_date=datetime.now(),
),
classification=ClassificationList([
Classification(
group={"id": "physics"},
archive={"id": "physics"},
category={"id": "hep-th"},
)
]),
terms=FieldedSearchList([
FieldedSearchTerm(operator="AND", field="title", term="foo"),
FieldedSearchTerm(operator="AND", field="author", term="joe"),
FieldedSearchTerm(operator="OR", field="abstract", term="hmm"),
FieldedSearchTerm(operator="NOT", field="comments", term="eh"),
FieldedSearchTerm(
operator="AND",
field="journal_ref",
term="jref (1999) 1:2-3",
),
FieldedSearchTerm(operator="AND",
field="acm_class",
term="abc123"),
FieldedSearchTerm(operator="AND",
field="msc_class",
term="abc123"),
FieldedSearchTerm(operator="OR",
field="report_num",
term="abc123"),
FieldedSearchTerm(operator="OR",
field="doi",
term="10.01234/56789"),
FieldedSearchTerm(
operator="OR",
field="orcid",
term="0000-0000-0000-0000",
),
FieldedSearchTerm(operator="OR",
field="author_id",
term="Bloggs_J"),
]),
)
document_set = index.SearchSession.search(query)
# self.assertIsInstance(document_set, DocumentSet)
self.assertEqual(document_set["metadata"]["start"], 0)
self.assertEqual(document_set["metadata"]["total_results"], 53)
self.assertEqual(document_set["metadata"]["current_page"], 1)
self.assertEqual(document_set["metadata"]["total_pages"], 6)
self.assertEqual(document_set["metadata"]["size"], 10)
self.assertEqual(len(document_set["results"]), 1)
