Sync from v0.13

tests/plugins/lora_resolvers/test_filesystem_resolver.py

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+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+import os
+import shutil
+
+import pytest
+from huggingface_hub import snapshot_download
+
+from vllm.plugins.lora_resolvers.filesystem_resolver import FilesystemResolver
+
+MODEL_NAME = "Qwen/Qwen3-0.6B"
+LORA_NAME = "charent/self_cognition_Alice"
+PA_NAME = "swapnilbp/llama_tweet_ptune"
+
+
+@pytest.fixture(scope="module")
+def adapter_cache(request, tmpdir_factory):
+    # Create dir that mimics the structure of the adapter cache
+    adapter_cache = tmpdir_factory.mktemp(request.module.__name__) / "adapter_cache"
+    return adapter_cache
+
+
+@pytest.fixture(scope="module")
+def qwen3_lora_files():
+    return snapshot_download(repo_id=LORA_NAME)
+
+
+@pytest.fixture(scope="module")
+def pa_files():
+    return snapshot_download(repo_id=PA_NAME)
+
+
+@pytest.mark.asyncio
+async def test_filesystem_resolver(adapter_cache, qwen3_lora_files):
+    model_files = adapter_cache / LORA_NAME
+    shutil.copytree(qwen3_lora_files, model_files)
+
+    fs_resolver = FilesystemResolver(adapter_cache)
+    assert fs_resolver is not None
+
+    lora_request = await fs_resolver.resolve_lora(MODEL_NAME, LORA_NAME)
+    assert lora_request is not None
+    assert lora_request.lora_name == LORA_NAME
+    assert lora_request.lora_path == os.path.join(adapter_cache, LORA_NAME)
+
+
+@pytest.mark.asyncio
+async def test_missing_adapter(adapter_cache):
+    fs_resolver = FilesystemResolver(adapter_cache)
+    assert fs_resolver is not None
+
+    missing_lora_request = await fs_resolver.resolve_lora(MODEL_NAME, "foobar")
+    assert missing_lora_request is None
+
+
+@pytest.mark.asyncio
+async def test_nonlora_adapter(adapter_cache, pa_files):
+    model_files = adapter_cache / PA_NAME
+    shutil.copytree(pa_files, model_files)
+
+    fs_resolver = FilesystemResolver(adapter_cache)
+    assert fs_resolver is not None
+
+    pa_request = await fs_resolver.resolve_lora(MODEL_NAME, PA_NAME)
+    assert pa_request is None