File size: 9,577 Bytes
0f07ba7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 |
import unittest
import subprocess
import time
import grpc
import backend_pb2
import backend_pb2_grpc
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="mlx-community/Llama-3.2-1B-Instruct-4bit"))
self.assertTrue(response.success)
self.assertEqual(response.message, "MLX 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="mlx-community/Llama-3.2-1B-Instruct-4bit"))
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="mlx-community/Llama-3.2-1B-Instruct-4bit"))
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,
MinP=0.05,
Seed=42,
StopPrompts=["\n"],
IgnoreEOS=True,
)
resp = stub.Predict(req)
self.assertIsNotNone(resp.message)
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()
def test_concurrent_requests(self):
"""
This method tests that concurrent requests don't corrupt each other's cache state.
This is a regression test for the race condition in the original implementation.
"""
import concurrent.futures
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.LoadModel(backend_pb2.ModelOptions(Model="mlx-community/Llama-3.2-1B-Instruct-4bit"))
self.assertTrue(response.success)
def make_request(prompt):
req = backend_pb2.PredictOptions(Prompt=prompt, Tokens=20)
return stub.Predict(req)
# Run 5 concurrent requests with different prompts
prompts = [
"The capital of France is",
"The capital of Germany is",
"The capital of Italy is",
"The capital of Spain is",
"The capital of Portugal is",
]
with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor:
futures = [executor.submit(make_request, p) for p in prompts]
results = [f.result() for f in concurrent.futures.as_completed(futures)]
# All results should be non-empty
messages = [r.message for r in results]
self.assertTrue(all(len(m) > 0 for m in messages), "All requests should return non-empty responses")
print(f"Concurrent test passed: {len(messages)} responses received")
except Exception as err:
print(err)
self.fail("Concurrent requests test failed")
finally:
self.tearDown()
def test_cache_reuse(self):
"""
This method tests that repeated prompts reuse cached KV states.
The second request should benefit from the cached prompt processing.
"""
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.LoadModel(backend_pb2.ModelOptions(Model="mlx-community/Llama-3.2-1B-Instruct-4bit"))
self.assertTrue(response.success)
prompt = "The quick brown fox jumps over the lazy dog. "
# First request - populates cache
req1 = backend_pb2.PredictOptions(Prompt=prompt, Tokens=10)
resp1 = stub.Predict(req1)
self.assertIsNotNone(resp1.message)
# Second request with same prompt - should reuse cache
req2 = backend_pb2.PredictOptions(Prompt=prompt, Tokens=10)
resp2 = stub.Predict(req2)
self.assertIsNotNone(resp2.message)
print(f"Cache reuse test passed: first={len(resp1.message)} bytes, second={len(resp2.message)} bytes")
except Exception as err:
print(err)
self.fail("Cache reuse test failed")
finally:
self.tearDown()
def test_prefix_cache_reuse(self):
"""
This method tests that prompts sharing a common prefix benefit from cached KV states.
"""
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.LoadModel(backend_pb2.ModelOptions(Model="mlx-community/Llama-3.2-1B-Instruct-4bit"))
self.assertTrue(response.success)
# First request with base prompt
prompt_base = "Once upon a time in a land far away, "
req1 = backend_pb2.PredictOptions(Prompt=prompt_base, Tokens=10)
resp1 = stub.Predict(req1)
self.assertIsNotNone(resp1.message)
# Second request with extended prompt (same prefix)
prompt_extended = prompt_base + "there lived a brave knight who "
req2 = backend_pb2.PredictOptions(Prompt=prompt_extended, Tokens=10)
resp2 = stub.Predict(req2)
self.assertIsNotNone(resp2.message)
print(f"Prefix cache test passed: base={len(resp1.message)} bytes, extended={len(resp2.message)} bytes")
except Exception as err:
print(err)
self.fail("Prefix cache reuse test failed")
finally:
self.tearDown()
# Unit tests for ThreadSafeLRUPromptCache are in test_mlx_cache.py |