Features/scheduler refactor tests

.gitignore

@@ -230,3 +230,6 @@ src/ui/next-env.d.ts
 !src/ui/public/manifest.json
 !src/ui/serve.json
 .eslintcache
+
+# vllm-sim
+bin/

tests/e2e/README.md

@@ -0,0 +1,12 @@
+# E2E tests
+
+The E2E tests in GuideLLM use the [vLLM simulator by llm-d](https://llm-d.ai/docs/architecture/Components/inf-simulator), to run them run the following command:
+
+```shell
+docker build . -f tests/e2e/vllm-sim.Dockerfile -o type=local,dest=./
+```
+
+Then to run the tests:
+```shell
+tox -e test-e2e
+```

tests/e2e/test_max_error_benchmark.py

@@ -0,0 +1,72 @@
+# E2E test for max error rate constraint functionality
+
+from pathlib import Path
+
+import pytest
+
+from tests.e2e.utils import (
+    GuidellmClient,
+    assert_constraint_triggered,
+    assert_no_python_exceptions,
+    cleanup_report_file,
+    load_benchmark_report,
+)
+from tests.e2e.vllm_sim_server import VllmSimServer
+
+
+@pytest.fixture(scope="module")
+def server():
+    """
+    Pytest fixture to start and stop the server for the entire module
+    using the TestServer class.
+    """
+    server = VllmSimServer(port=8000, model="databricks/dolly-v2-12b", mode="echo")
+    try:
+        server.start()
+        yield server  # Yield the URL for tests to use
+    finally:
+        server.stop()  # Teardown: Stop the server after tests are done
+
+
+@pytest.mark.timeout(30)
+def test_max_error_benchmark(server: VllmSimServer):
+    """
+    Test that the max error rate constraint is properly triggered when server goes down.
+    """
+    report_path = Path("tests/e2e/max_error_benchmarks.json")
+    rate = 10
+    max_error_rate = 0.1
+
+    # Create and configure the guidellm client
+    client = GuidellmClient(target=server.get_url(), output_path=report_path)
+
+    try:
+        # Start the benchmark
+        client.start_benchmark(
+            rate=rate,
+            max_seconds=25,
+            max_error_rate=max_error_rate,
+        )
+
+        # Wait for the benchmark to complete (server will be stopped after 10 seconds)
+        client.wait_for_completion(timeout=30, stop_server_after=10, server=server)
+
+        # Assert no Python exceptions occurred
+        assert_no_python_exceptions(client.stderr)
+
+        # Load and validate the report
+        report = load_benchmark_report(report_path)
+        benchmark = report["benchmarks"][0]
+
+        # Check that the max error rate constraint was triggered
+        assert_constraint_triggered(
+            benchmark,
+            "max_error_rate",
+            {
+                "exceeded_error_rate": True,
+                "current_error_rate": lambda rate: rate >= max_error_rate,
+            },
+        )
+
+    finally:
+        cleanup_report_file(report_path)

tests/e2e/test_successful_benchmark.py

@@ -0,0 +1,120 @@
+# E2E tests for successful benchmark scenarios with timing validation
+
+from pathlib import Path
+
+import pytest
+
+from tests.e2e.utils import (
+    GuidellmClient,
+    assert_constraint_triggered,
+    assert_no_python_exceptions,
+    assert_successful_requests_fields,
+    cleanup_report_file,
+    load_benchmark_report,
+)
+from tests.e2e.vllm_sim_server import VllmSimServer
+
+
+@pytest.fixture(scope="module")
+def server():
+    """
+    Pytest fixture to start and stop the server for the entire module
+    using the TestServer class.
+    """
+    server = VllmSimServer(
+        port=8000,
+        model="databricks/dolly-v2-12b",
+        mode="echo",
+        time_to_first_token=1,  # 1ms TTFT
+        inter_token_latency=1,  # 1ms ITL
+    )
+    try:
+        server.start()
+        yield server  # Yield the URL for tests to use
+    finally:
+        server.stop()  # Teardown: Stop the server after tests are done
+
+
+@pytest.mark.timeout(30)
+def test_max_seconds_benchmark(server: VllmSimServer):
+    """
+    Test that the max seconds constraint is properly triggered.
+    """
+    report_path = Path("tests/e2e/max_duration_benchmarks.json")
+    rate = 10
+
+    # Create and configure the guidellm client
+    client = GuidellmClient(target=server.get_url(), output_path=report_path)
+
+    try:
+        # Start the benchmark
+        client.start_benchmark(
+            rate=rate,
+            max_seconds=1,
+        )
+
+        # Wait for the benchmark to complete
+        client.wait_for_completion(timeout=30)
+
+        # Assert no Python exceptions occurred
+        assert_no_python_exceptions(client.stderr)
+
+        # Load and validate the report
+        report = load_benchmark_report(report_path)
+        benchmark = report["benchmarks"][0]
+
+        # Check that the max duration constraint was triggered
+        assert_constraint_triggered(
+            benchmark, "max_seconds", {"duration_exceeded": True}
+        )
+
+        # Validate successful requests have all expected fields
+        successful_requests = benchmark["requests"]["successful"]
+        assert_successful_requests_fields(successful_requests)
+
+    finally:
+        cleanup_report_file(report_path)
+
+
+@pytest.mark.timeout(30)
+def test_max_requests_benchmark(server: VllmSimServer):
+    """
+    Test that the max requests constraint is properly triggered.
+    """
+    report_path = Path("tests/e2e/max_number_benchmarks.json")
+    rate = 10
+
+    # Create and configure the guidellm client
+    client = GuidellmClient(target=server.get_url(), output_path=report_path)
+
+    try:
+        # Start the benchmark
+        client.start_benchmark(
+            rate=rate,
+            max_requests=rate,
+        )
+
+        # Wait for the benchmark to complete
+        client.wait_for_completion(timeout=30)
+
+        # Assert no Python exceptions occurred
+        assert_no_python_exceptions(client.stderr)
+
+        # Load and validate the report
+        report = load_benchmark_report(report_path)
+        benchmark = report["benchmarks"][0]
+
+        # Check that the max requests constraint was triggered
+        assert_constraint_triggered(
+            benchmark, "max_requests", {"processed_exceeded": True}
+        )
+
+        # Validate successful requests have all expected fields
+        successful_requests = benchmark["requests"]["successful"]
+        assert len(successful_requests) == rate, (
+            f"Expected {rate} successful requests, got {len(successful_requests)}"
+        )
+        assert_successful_requests_fields(successful_requests)
+
+    finally:
+        cleanup_report_file(report_path)