def test_request_extend_queryset():
q1 = SliceQL(start=3, end=4)
q2 = QueryLang(SliceQL(start=3, end=4, priority=1))
q3 = jina_pb2.QueryLangProto()
q3.name = 'SliceQL'
q3.parameters['start'] = 3
q3.parameters['end'] = 4
q3.priority = 2
r = Request()
r.queryset.extend([q1, q2, q3])
assert isinstance(r.queryset, Sequence)
for idx, q in enumerate(r.queryset):
assert q.priority == idx
assert q.parameters['start'] == 3
assert q.parameters['end'] == 4
# q1 and q2 refer to the same
assert len({id(q) for q in r.queryset}) == 2
r2 = Request()
r2.queryset.extend(r.queryset)
assert len({id(q) for q in r2.queryset}) == 2
r = Request()
r.queryset.append(q1)
r.queryset.append(q2)
r.queryset.append(q3)
for idx, q in enumerate(r.queryset):
assert q.priority == idx
assert q.parameters['start'] == 3
assert q.parameters['end'] == 4
with pytest.raises(TypeError):
r.queryset.extend(1)
def test_queryset_with_struct(random_workspace):
total_docs = 4
docs = []
for doc_id in range(total_docs):
doc = jina_pb2.DocumentProto()
doc.text = f'I am doc{doc_id}'
NdArray(doc.embedding).value = np.array([doc_id])
doc.tags['label'] = f'label{doc_id % 2 + 1}'
docs.append(doc)
f = (Flow()
.add(uses='- !FilterQL | {lookups: {tags__label__in: [label1, label2]}, traversal_paths: [r]}'))
def validate_all_docs(resp):
assert len(resp.docs) == total_docs
def validate_label2_docs(resp):
assert len(resp.docs) == total_docs / 2
with f:
# keep all the docs
f.index(docs, output_fn=validate_all_docs, callback_on='body')
# keep only the docs with label2
qs = jina_pb2.QueryLangProto(name='FilterQL', priority=1)
qs.parameters['lookups'] = {'tags__label': 'label2'}
qs.parameters['traversal_paths'] = ['r']
f.index(docs, queryset=qs, output_fn=validate_label2_docs, callback_on='body')
def test_request_extend_queryset():
q1 = SliceQL(start=3, end=4)
q2 = QueryLang(SliceQL(start=3, end=4, priority=1))
q3 = jina_pb2.QueryLangProto()
q3.name = 'SliceQL'
q3.parameters['start'] = 3
q3.parameters['end'] = 4
q3.priority = 2
r = Request()
r.extend_queryset([q1, q2, q3])
for idx, q in enumerate(r.queryset):
assert q.priority == idx
assert q.parameters['start'] == 3
assert q.parameters['end'] == 4
r = Request()
r.extend_queryset(q1)
r.extend_queryset(q2)
r.extend_queryset(q3)
for idx, q in enumerate(r.queryset):
assert q.priority == idx
assert q.parameters['start'] == 3
assert q.parameters['end'] == 4
with pytest.raises(TypeError):
r.extend_queryset(1)
def test_read_from_req():
def validate1(req):
assert len(req.docs) == 5
def validate2(req):
assert len(req.docs) == 3
qs = jina_pb2.QueryLangProto(name='SliceQL', priority=1)
qs.parameters['start'] = 1
qs.parameters['end'] = 4
f = Flow(callback_on='body').add(uses='- !SliceQL | {start: 0, end: 5}')
# without queryset
with f:
f.index(random_docs(10), output_fn=validate1)
# with queryset
with f:
f.index(random_docs(10), queryset=qs, output_fn=validate2)
qs.priority = -1
# with queryset, but priority is no larger than driver's default
with f:
f.index(random_docs(10), queryset=qs, output_fn=validate1)
def test_topk_override(config):
# Making queryset
top_k_queryset = jina_pb2.QueryLangProto()
top_k_queryset.name = 'VectorSearchDriver'
top_k_queryset.priority = 1
top_k_queryset.parameters['top_k'] = os.environ['JINA_TOPK_OVERRIDE']
with Flow().load_config('flow.yml') as index_flow:
index_flow.index(input_fn=random_docs(100))
with Flow().load_config('flow.yml') as search_flow:
search_flow.search(input_fn=random_docs(int(os.environ['JINA_NDOCS'])),
output_fn=validate_override_results,
queryset=[top_k_queryset])
def queryset(self):
q = jina_pb2.QueryLangProto()
q.name = 'SimpleVectorSearchDriver'
q.priority = 1
q.parameters['top_k'] = 4
return [q]
