import unittest import subprocess import time import backend_pb2 import backend_pb2_grpc import grpc import unittest import subprocess import time import grpc import backend_pb2_grpc import backend_pb2 class TestBackendServicer(unittest.TestCase): """ TestBackendServicer is the class that tests the gRPC service. This class contains methods to test the startup and shutdown of the gRPC service. """ def setUp(self): self.service = subprocess.Popen(["python", "backend.py", "--addr", "localhost:50051"]) time.sleep(10) def tearDown(self) -> None: self.service.terminate() self.service.wait() def test_server_startup(self): try: self.setUp() with grpc.insecure_channel("localhost:50051") as channel: stub = backend_pb2_grpc.BackendStub(channel) response = stub.Health(backend_pb2.HealthMessage()) self.assertEqual(response.message, b'OK') except Exception as err: print(err) self.fail("Server failed to start") finally: self.tearDown() def test_load_model(self): """ This method tests if the model is loaded successfully """ try: self.setUp() with grpc.insecure_channel("localhost:50051") as channel: stub = backend_pb2_grpc.BackendStub(channel) response = stub.LoadModel(backend_pb2.ModelOptions(Model="facebook/opt-125m")) self.assertTrue(response.success) self.assertEqual(response.message, "Model loaded successfully") except Exception as err: print(err) self.fail("LoadModel service failed") finally: self.tearDown() def test_text(self): """ This method tests if the embeddings are generated successfully """ try: self.setUp() with grpc.insecure_channel("localhost:50051") as channel: stub = backend_pb2_grpc.BackendStub(channel) response = stub.LoadModel(backend_pb2.ModelOptions(Model="facebook/opt-125m")) self.assertTrue(response.success) req = backend_pb2.PredictOptions(Prompt="The capital of France is") resp = stub.Predict(req) self.assertIsNotNone(resp.message) except Exception as err: print(err) self.fail("text service failed") finally: self.tearDown() def test_sampling_params(self): """ This method tests if all sampling parameters are correctly processed NOTE: this does NOT test for correctness, just that we received a compatible response """ try: self.setUp() with grpc.insecure_channel("localhost:50051") as channel: stub = backend_pb2_grpc.BackendStub(channel) response = stub.LoadModel(backend_pb2.ModelOptions(Model="facebook/opt-125m")) self.assertTrue(response.success) req = backend_pb2.PredictOptions( Prompt="The capital of France is", TopP=0.8, Tokens=50, Temperature=0.7, TopK=40, PresencePenalty=0.1, FrequencyPenalty=0.2, RepetitionPenalty=1.1, MinP=0.05, Seed=42, StopPrompts=["\n"], StopTokenIds=[50256], BadWords=["badword"], IncludeStopStrInOutput=True, IgnoreEOS=True, MinTokens=5, Logprobs=5, PromptLogprobs=5, SkipSpecialTokens=True, SpacesBetweenSpecialTokens=True, TruncatePromptTokens=10, GuidedDecoding=True, N=2, ) resp = stub.Predict(req) self.assertIsNotNone(resp.message) self.assertIsNotNone(resp.logprobs) except Exception as err: print(err) self.fail("sampling params service failed") finally: self.tearDown() def test_embedding(self): """ This method tests if the embeddings are generated successfully """ try: self.setUp() with grpc.insecure_channel("localhost:50051") as channel: stub = backend_pb2_grpc.BackendStub(channel) response = stub.LoadModel(backend_pb2.ModelOptions(Model="intfloat/e5-mistral-7b-instruct")) self.assertTrue(response.success) embedding_request = backend_pb2.PredictOptions(Embeddings="This is a test sentence.") embedding_response = stub.Embedding(embedding_request) self.assertIsNotNone(embedding_response.embeddings) # assert that is a list of floats self.assertIsInstance(embedding_response.embeddings, list) # assert that the list is not empty self.assertTrue(len(embedding_response.embeddings) > 0) except Exception as err: print(err) self.fail("Embedding service failed") finally: self.tearDown()