def test_save_and_execute_search_by_id(channel):
stub = service_pb2_grpc.V2Stub(channel)
search_id = "my-search-id-" + uuid.uuid4().hex[:15]
with SetupImage(stub) as input_:
my_concept_id = input_.data.concepts[0].id
# This saves the search under an ID, but does not execute it / return any results.
save_search_response = stub.PostSearches(
service_pb2.PostSearchesRequest(searches=[
resources_pb2.Search(
id=search_id,
save=True,
query=resources_pb2.Query(ands=[
resources_pb2.And(input=resources_pb2.Input(
data=resources_pb2.Data(concepts=[
resources_pb2.Concept(id=my_concept_id,
value=1)
])))
]),
)
]),
metadata=metadata(),
)
raise_on_failure(save_search_response)
# Executing the search returns results.
post_search_by_id_response = stub.PostSearchesByID(
service_pb2.PostSearchesByIDRequest(id=search_id),
metadata=metadata(),
)
raise_on_failure(post_search_by_id_response)
assert len(post_search_by_id_response.hits) == 1
assert post_search_by_id_response.hits[0].input.id == input_.id
def test_search_by_geo_box_and_annotated_name_and_predicted_name(channel):
stub = service_pb2_grpc.V2Stub(channel)
with SetupImage(stub) as input_:
my_concept_name = input_.data.concepts[0].name
response = stub.PostSearches(
service_pb2.PostSearchesRequest(
query=resources_pb2.Query(ands=[
resources_pb2.And(input=resources_pb2.Input(
data=resources_pb2.Data(geo=resources_pb2.Geo(geo_box=[
resources_pb2.GeoBoxedPoint(
geo_point=resources_pb2.GeoPoint(longitude=43,
latitude=54)),
resources_pb2.GeoBoxedPoint(
geo_point=resources_pb2.GeoPoint(longitude=45,
latitude=56)),
])))),
resources_pb2.And(input=resources_pb2.Input(
data=resources_pb2.Data(concepts=[
resources_pb2.Concept(name=my_concept_name,
value=1)
]))),
resources_pb2.And(output=resources_pb2.Output(
data=resources_pb2.Data(concepts=[
resources_pb2.Concept(name="dog", value=1)
]))),
]),
pagination=service_pb2.Pagination(page=1, per_page=1000),
),
metadata=metadata(),
)
raise_on_failure(response)
assert len(response.hits) > 0
assert input_.id in [hit.input.id for hit in response.hits]
def test_search_by_image_url_and_geo_box(channel):
stub = service_pb2_grpc.V2Stub(channel)
with SetupImage(stub) as input_:
response = stub.PostSearches(
service_pb2.PostSearchesRequest(
query=resources_pb2.Query(ands=[
resources_pb2.And(output=resources_pb2.Output(
input=resources_pb2.Input(data=resources_pb2.Data(
image=resources_pb2.Image(url=DOG_IMAGE_URL))))),
resources_pb2.And(input=resources_pb2.Input(
data=resources_pb2.Data(geo=resources_pb2.Geo(geo_box=[
resources_pb2.GeoBoxedPoint(
geo_point=resources_pb2.GeoPoint(longitude=43,
latitude=54)),
resources_pb2.GeoBoxedPoint(
geo_point=resources_pb2.GeoPoint(longitude=45,
latitude=56)),
])))),
]),
pagination=service_pb2.Pagination(page=1, per_page=1000),
),
metadata=metadata(),
)
raise_on_failure(response)
assert len(response.hits) > 0
assert input_.id in [hit.input.id for hit in response.hits]
def test_search_by_annotated_concept_name(channel):
stub = service_pb2_grpc.V2Stub(channel)
with SetupImage(stub) as input_:
my_concept_name = input_.data.concepts[0].name
response = stub.PostSearches(
service_pb2.PostSearchesRequest(query=resources_pb2.Query(ands=[
resources_pb2.And(input=resources_pb2.Input(
data=resources_pb2.Data(concepts=[
resources_pb2.Concept(name=my_concept_name, value=1)
])))
])),
metadata=metadata(),
)
raise_on_failure(response)
assert len(response.hits) == 1
assert response.hits[0].input.id == input_.id
def test_search_by_image_url(channel):
stub = service_pb2_grpc.V2Stub(channel)
with SetupImage(stub) as input_:
response = stub.PostSearches(
service_pb2.PostSearchesRequest(
query=resources_pb2.Query(ands=[
resources_pb2.And(output=resources_pb2.Output(
input=resources_pb2.Input(data=resources_pb2.Data(
image=resources_pb2.Image(url=DOG_IMAGE_URL)))))
]),
pagination=service_pb2.Pagination(page=1, per_page=1000),
),
metadata=metadata(),
)
raise_on_failure(response)
assert len(response.hits) > 0
assert input_.id in [hit.input.id for hit in response.hits]
def test_search_by_predicted_concept_name(channel):
stub = service_pb2_grpc.V2Stub(channel)
with SetupImage(stub) as input_:
response = stub.PostSearches(
service_pb2.PostSearchesRequest(
query=resources_pb2.Query(ands=[
resources_pb2.And(output=resources_pb2.Output(
data=resources_pb2.Data(concepts=[
resources_pb2.Concept(name="dog", value=1)
])))
]),
pagination=service_pb2.Pagination(page=1, per_page=1000),
),
metadata=metadata(),
)
raise_on_failure(response)
assert len(response.hits) > 0
assert input_.id in [hit.input.id for hit in response.hits]
def test_search_by_metadata(channel):
stub = service_pb2_grpc.V2Stub(channel)
with SetupImage(stub) as input_:
search_metadata = struct_pb2.Struct()
search_metadata.update({"another-key": {"inner-key": "inner-value"}})
response = stub.PostSearches(
service_pb2.PostSearchesRequest(
query=resources_pb2.Query(ands=[
resources_pb2.And(input=resources_pb2.Input(
data=resources_pb2.Data(metadata=search_metadata)))
]),
pagination=service_pb2.Pagination(page=1, per_page=1000),
),
metadata=metadata(),
)
raise_on_failure(response)
assert len(response.hits) > 0
assert input_.id in [hit.input.id for hit in response.hits]
def test_search_by_geo_point_and_limit(channel):
stub = service_pb2_grpc.V2Stub(channel)
with SetupImage(stub) as input_:
response = stub.PostSearches(
service_pb2.PostSearchesRequest(
query=resources_pb2.Query(ands=[
resources_pb2.And(input=resources_pb2.Input(
data=resources_pb2.Data(geo=resources_pb2.Geo(
geo_point=resources_pb2.GeoPoint(longitude=43,
latitude=56),
geo_limit=resources_pb2.GeoLimit(
value=1000, type="withinKilometers"),
))))
]),
pagination=service_pb2.Pagination(page=1, per_page=1000),
),
metadata=metadata(),
)
raise_on_failure(response)
assert len(response.hits) > 0
assert input_.id in [hit.input.id for hit in response.hits]
def test_save_and_execute_annotations_search_by_id(channel):
stub = service_pb2_grpc.V2Stub(channel)
my_search_id = "my-search-id-" + uuid.uuid4().hex[:15]
my_concept_id = "my-anno-conc-" + uuid.uuid4().hex[:15]
with SetupImage(stub) as input1, SetupImage(stub) as input2:
list_annotations_response = stub.ListAnnotations(
service_pb2.ListAnnotationsRequest(
input_ids=[input1.id, input2.id]),
metadata=metadata(),
)
raise_on_failure(list_annotations_response)
input_id_to_annotation_id = {
an.input_id: an.id
for an in list_annotations_response.annotations
}
patch_annotations_response = stub.PatchAnnotations(
service_pb2.PatchAnnotationsRequest(
action="merge",
annotations=[
resources_pb2.Annotation(
id=input_id_to_annotation_id[input1.id],
input_id=input1.id,
data=resources_pb2.Data(concepts=[
resources_pb2.Concept(id=my_concept_id, value=1)
]),
),
resources_pb2.Annotation(
id=input_id_to_annotation_id[input2.id],
input_id=input2.id,
data=resources_pb2.Data(concepts=[
resources_pb2.Concept(id=my_concept_id, value=1)
]),
),
],
),
metadata=metadata(),
)
raise_on_failure(patch_annotations_response)
as_of = timestamp_pb2.Timestamp()
as_of.FromSeconds(int(time.time() + 5))
save_search_response = stub.PostSearches(
service_pb2.PostSearchesRequest(searches=[
resources_pb2.Search(
id=my_search_id,
save=True,
as_of=as_of,
query=resources_pb2.Query(ands=[
resources_pb2.And(input=resources_pb2.Input(
data=resources_pb2.Data(concepts=[
resources_pb2.Concept(id=my_concept_id,
value=1)
])))
]),
)
]),
metadata=metadata(),
)
raise_on_failure(save_search_response)
# Executing the search returns results.
post_search_by_id_response = stub.PostSearchesByID(
service_pb2.PostSearchesByIDRequest(id=my_search_id),
metadata=metadata(),
)
raise_on_failure(post_search_by_id_response)
hits = post_search_by_id_response.hits
assert len(hits) == 2
assert input1.id in [hit.input.id for hit in hits]
assert input2.id in [hit.input.id for hit in hits]
assert all(hit.score == 1 for hit in hits)
