vllm/tests/entrypoints/openai/test_cli_args.py
Russell Bryant e489ad7a21
[Misc] Add SPDX-License-Identifier headers to python source files (#12628)
- **Add SPDX license headers to python source files**
- **Check for SPDX headers using pre-commit**

commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745
Author: Russell Bryant <rbryant@redhat.com>
Date:   Fri Jan 31 14:18:24 2025 -0500

    Add SPDX license headers to python source files
    
This commit adds SPDX license headers to python source files as
recommended to
the project by the Linux Foundation. These headers provide a concise way
that is
both human and machine readable for communicating license information
for each
source file. It helps avoid any ambiguity about the license of the code
and can
    also be easily used by tools to help manage license compliance.
    
The Linux Foundation runs license scans against the codebase to help
ensure
    we are in compliance with the licenses of the code we use, including
dependencies. Having these headers in place helps that tool do its job.
    
    More information can be found on the SPDX site:
    
    - https://spdx.dev/learn/handling-license-info/
    
    Signed-off-by: Russell Bryant <rbryant@redhat.com>

commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea
Author: Russell Bryant <rbryant@redhat.com>
Date:   Fri Jan 31 14:36:32 2025 -0500

    Check for SPDX headers using pre-commit
    
    Signed-off-by: Russell Bryant <rbryant@redhat.com>

---------

Signed-off-by: Russell Bryant <rbryant@redhat.com>
2025-02-02 11:58:18 -08:00

163 lines
5.1 KiB
Python

# SPDX-License-Identifier: Apache-2.0
import json
import pytest
from vllm.entrypoints.openai.cli_args import (make_arg_parser,
validate_parsed_serve_args)
from vllm.entrypoints.openai.serving_models import LoRAModulePath
from vllm.utils import FlexibleArgumentParser
from ...utils import VLLM_PATH
LORA_MODULE = {
"name": "module2",
"path": "/path/to/module2",
"base_model_name": "llama"
}
CHATML_JINJA_PATH = VLLM_PATH / "examples/template_chatml.jinja"
assert CHATML_JINJA_PATH.exists()
@pytest.fixture
def serve_parser():
parser = FlexibleArgumentParser(description="vLLM's remote OpenAI server.")
return make_arg_parser(parser)
### Tests for Lora module parsing
def test_valid_key_value_format(serve_parser):
# Test old format: name=path
args = serve_parser.parse_args([
'--lora-modules',
'module1=/path/to/module1',
])
expected = [LoRAModulePath(name='module1', path='/path/to/module1')]
assert args.lora_modules == expected
def test_valid_json_format(serve_parser):
# Test valid JSON format input
args = serve_parser.parse_args([
'--lora-modules',
json.dumps(LORA_MODULE),
])
expected = [
LoRAModulePath(name='module2',
path='/path/to/module2',
base_model_name='llama')
]
assert args.lora_modules == expected
def test_invalid_json_format(serve_parser):
# Test invalid JSON format input, missing closing brace
with pytest.raises(SystemExit):
serve_parser.parse_args([
'--lora-modules', '{"name": "module3", "path": "/path/to/module3"'
])
def test_invalid_type_error(serve_parser):
# Test type error when values are not JSON or key=value
with pytest.raises(SystemExit):
serve_parser.parse_args([
'--lora-modules',
'invalid_format' # This is not JSON or key=value format
])
def test_invalid_json_field(serve_parser):
# Test valid JSON format but missing required fields
with pytest.raises(SystemExit):
serve_parser.parse_args([
'--lora-modules',
'{"name": "module4"}' # Missing required 'path' field
])
def test_empty_values(serve_parser):
# Test when no LoRA modules are provided
args = serve_parser.parse_args(['--lora-modules', ''])
assert args.lora_modules == []
def test_multiple_valid_inputs(serve_parser):
# Test multiple valid inputs (both old and JSON format)
args = serve_parser.parse_args([
'--lora-modules',
'module1=/path/to/module1',
json.dumps(LORA_MODULE),
])
expected = [
LoRAModulePath(name='module1', path='/path/to/module1'),
LoRAModulePath(name='module2',
path='/path/to/module2',
base_model_name='llama')
]
assert args.lora_modules == expected
### Tests for serve argument validation that run prior to loading
def test_enable_auto_choice_passes_without_tool_call_parser(serve_parser):
"""Ensure validation fails if tool choice is enabled with no call parser"""
# If we enable-auto-tool-choice, explode with no tool-call-parser
args = serve_parser.parse_args(args=["--enable-auto-tool-choice"])
with pytest.raises(TypeError):
validate_parsed_serve_args(args)
def test_enable_auto_choice_passes_with_tool_call_parser(serve_parser):
"""Ensure validation passes with tool choice enabled with a call parser"""
args = serve_parser.parse_args(args=[
"--enable-auto-tool-choice",
"--tool-call-parser",
"mistral",
])
validate_parsed_serve_args(args)
def test_enable_auto_choice_fails_with_enable_reasoning(serve_parser):
"""Ensure validation fails if reasoning is enabled with auto tool choice"""
args = serve_parser.parse_args(args=[
"--enable-auto-tool-choice",
"--enable-reasoning",
])
with pytest.raises(TypeError):
validate_parsed_serve_args(args)
def test_enable_reasoning_passes_with_reasoning_parser(serve_parser):
"""Ensure validation passes if reasoning is enabled
with a reasoning parser"""
args = serve_parser.parse_args(args=[
"--enable-reasoning",
"--reasoning-parser",
"deepseek_r1",
])
validate_parsed_serve_args(args)
def test_enable_reasoning_fails_without_reasoning_parser(serve_parser):
"""Ensure validation fails if reasoning is enabled
without a reasoning parser"""
args = serve_parser.parse_args(args=["--enable-reasoning"])
with pytest.raises(TypeError):
validate_parsed_serve_args(args)
def test_chat_template_validation_for_happy_paths(serve_parser):
"""Ensure validation passes if the chat template exists"""
args = serve_parser.parse_args(
args=["--chat-template",
CHATML_JINJA_PATH.absolute().as_posix()])
validate_parsed_serve_args(args)
def test_chat_template_validation_for_sad_paths(serve_parser):
"""Ensure validation fails if the chat template doesn't exist"""
args = serve_parser.parse_args(args=["--chat-template", "does/not/exist"])
with pytest.raises(ValueError):
validate_parsed_serve_args(args)