mirror of
https://github.com/mudler/LocalAI.git
synced 2024-12-19 04:37:53 +00:00
99 lines
3.6 KiB
Python
99 lines
3.6 KiB
Python
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_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() |