def test(host, port, dim):
print("host: %s:%d" % (host, port))
channel = grpc.insecure_channel("%s:%d" % (host, port))
stub = pb2_grpc.ServerStub(channel)
response = stub.Total(pb2.EmptyRequest())
print("total: %d" % response.count)
embedding = list(np.random.random(dim).astype('float32'))
print(embedding)
id = 1
response = stub.Add(pb2.AddRequest(id=id, embedding=embedding))
print("response: %s" % response.message)
embedding = list(np.random.random(dim).astype('float32'))
print(embedding)
id = 1
response = stub.Add(pb2.AddRequest(id=id, embedding=embedding))
print("response: %s" % response.message)
embedding = list(np.random.random(dim).astype('float32'))
id = 2
response = stub.Add(pb2.AddRequest(id=id, embedding=embedding))
print("response: %s" % response.message)
embedding = list(np.random.random(dim).astype('float32'))
id = 3
response = stub.Add(pb2.AddRequest(id=id, embedding=embedding))
print("response: %s" % response.message)
response = stub.Total(pb2.EmptyRequest())
print("total: %d" % response.count)
id = 2
response = stub.Search(pb2.SearchRequest(id=id, count=5))
print("response: %s, %s" % (response.ids, response.scores))
response = stub.Remove(pb2.IdRequest(id=2))
print("response: %s" % response.message)
response = stub.Total(pb2.EmptyRequest())
print("total: %d" % response.count)
id = 2
response = stub.Search(pb2.SearchRequest(id=id, count=5))
print("response: %s, %s" % (response.ids, response.scores))
# response = stub.Remove(pb2.IdRequest(id=1))
# response = stub.Remove(pb2.IdRequest(id=3))
response = stub.Total(pb2.EmptyRequest())
print("total: %d" % response.count)
def search(self, query: VectorLike, k: int) -> None:
vec = faiss_pb2.Vector(val=query)
req = faiss_pb2.SearchRequest(query=vec, k=k)
res = self.stub.Search(req)
for i, n in enumerate(res.neighbors):
print(f'#{i}, id: {n.id}, score: {n.score}')
def test_key(host, port, dim):
print("host: %s:%d" % (host, port))
channel = grpc.insecure_channel("%s:%d" % (host, port))
stub = pb2_grpc.ServerStub(channel)
response = stub.Total(pb2.EmptyRequest())
print("total: %d" % response.count)
embedding = list(np.random.random(dim).astype('float32'))
print(embedding)
key = "k1"
response = stub.Add(pb2.AddRequest(key=key, embedding=embedding))
print("response: %s" % response.message)
embedding = list(np.random.random(dim).astype('float32'))
key = "k1"
response = stub.Add(pb2.AddRequest(key=key, embedding=embedding))
print("response: %s" % response.message)
embedding = list(np.random.random(dim).astype('float32'))
key = "k2"
response = stub.Add(pb2.AddRequest(key=key, embedding=embedding))
print("response: %s" % response.message)
embedding = list(np.random.random(dim).astype('float32'))
key = "k3"
response = stub.Add(pb2.AddRequest(key=key, embedding=embedding))
print("response: %s" % response.message)
response = stub.Total(pb2.EmptyRequest())
print("total: %d" % response.count)
key = "k1"
response = stub.Search(pb2.SearchRequest(key=key, count=5))
print("response: %s, %s" % (response.ids, response.scores))
key = "k2"
response = stub.Search(pb2.SearchRequest(key=key, count=5))
print("response: %s, %s" % (response.ids, response.scores))
response = stub.Total(pb2.EmptyRequest())
print("total: %d" % response.count)
def main(args):
# create channel and stub
address = '{}:{}'.format(args.host, args.port)
channel = grpc.insecure_channel(address)
stub = faiss_pb2_grpc.FaissServiceStub(channel)
request = faiss_pb2.SearchRequest()
request.top_k = args.top_k
request.vector.float_val.extend(np.random.rand(1, 100)[0])
response = stub.Search.future(request, args.timeout)
print(response.result())
def _search_by_key(host, key, count, timeout, channel):
stub = pb2_grpc.ServerStub(channel)
return stub.Search(pb2.SearchRequest(key=key, count=count))
def search(host, id, count, timeout):
with grpc.insecure_channel(host) as channel:
stub = pb2_grpc.ServerStub(channel)
response = stub.Search(pb2.SearchRequest(id=id, count=count),
timeout=timeout)
print("response: %s, %s" % (response.ids, response.scores))
