[Docs] Mock all imports for docs (#27873)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Harry Mellor 2025-11-01 10:02:23 +00:00 committed by GitHub
parent 2c0c7c39bd
commit 799ce45cc1
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3 changed files with 49 additions and 23 deletions

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@ -3,6 +3,7 @@
import importlib
import logging
import sys
import traceback
from argparse import SUPPRESS, HelpFormatter
from pathlib import Path
from typing import Literal
@ -16,7 +17,30 @@ ROOT_DIR = Path(__file__).parent.parent.parent.parent
ARGPARSE_DOC_DIR = ROOT_DIR / "docs/argparse"
sys.path.insert(0, str(ROOT_DIR))
# Mock custom op code
class MockCustomOp:
@staticmethod
def register(name):
def decorator(cls):
return cls
return decorator
noop = lambda *a, **k: None
sys.modules["vllm._C"] = MagicMock()
sys.modules["vllm.model_executor.custom_op"] = MagicMock(CustomOp=MockCustomOp)
sys.modules["vllm.utils.torch_utils"] = MagicMock(direct_register_custom_op=noop)
# Mock any version checks by reading from compiled CI requirements
with open(ROOT_DIR / "requirements/test.txt") as f:
VERSIONS = dict(line.strip().split("==") for line in f if "==" in line)
importlib.metadata.version = lambda name: VERSIONS.get(name) or "0.0.0"
# Make torch.nn.Parameter safe to inherit from
sys.modules["torch.nn"] = MagicMock(Parameter=object)
class PydanticMagicMock(MagicMock):
@ -31,20 +55,17 @@ class PydanticMagicMock(MagicMock):
return core_schema.any_schema()
def auto_mock(module, attr, max_mocks=50):
def auto_mock(module, attr, max_mocks=100):
"""Function that automatically mocks missing modules during imports."""
logger.info("Importing %s from %s", attr, module)
for _ in range(max_mocks):
try:
# First treat attr as an attr, then as a submodule
with patch("importlib.metadata.version", return_value="0.0.0"):
return getattr(
importlib.import_module(module),
attr,
importlib.import_module(f"{module}.{attr}"),
)
except importlib.metadata.PackageNotFoundError as e:
raise e
return getattr(
importlib.import_module(module),
attr,
importlib.import_module(f"{module}.{attr}"),
)
except ModuleNotFoundError as e:
logger.info("Mocking %s for argparse doc generation", e.name)
sys.modules[e.name] = PydanticMagicMock(name=e.name)
@ -139,10 +160,19 @@ def create_parser(add_cli_args, **kwargs) -> FlexibleArgumentParser:
Returns:
FlexibleArgumentParser: A parser with markdown formatting for the class.
"""
parser = FlexibleArgumentParser(add_json_tip=False)
parser.formatter_class = MarkdownFormatter
with patch("vllm.config.DeviceConfig.__post_init__"):
_parser = add_cli_args(parser, **kwargs)
try:
parser = FlexibleArgumentParser(add_json_tip=False)
parser.formatter_class = MarkdownFormatter
with patch("vllm.config.DeviceConfig.__post_init__"):
_parser = add_cli_args(parser, **kwargs)
except ModuleNotFoundError as e:
# Auto-mock runtime imports
if tb_list := traceback.extract_tb(e.__traceback__):
path = Path(tb_list[-1].filename).relative_to(ROOT_DIR)
auto_mock(module=".".join(path.parent.parts), attr=path.stem)
return create_parser(add_cli_args, **kwargs)
else:
raise e
# add_cli_args might be in-place so return parser if _parser is None
return _parser or parser
@ -184,3 +214,7 @@ def on_startup(command: Literal["build", "gh-deploy", "serve"], dirty: bool):
with open(doc_path, "w", encoding="utf-8") as f:
f.write(super(type(parser), parser).format_help())
logger.info("Argparse generated: %s", doc_path.relative_to(ROOT_DIR))
if __name__ == "__main__":
on_startup("build", False)

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@ -9,12 +9,4 @@ mkdocs-git-revision-date-localized-plugin
mkdocs-minify-plugin
regex
ruff
# Required for argparse hook only
-f https://download.pytorch.org/whl/cpu
cachetools
cloudpickle
py-cpuinfo
msgspec
pydantic
torch

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@ -3,7 +3,7 @@
from collections import UserDict
from collections.abc import Callable, Hashable, Iterator, KeysView, Mapping
from types import MappingProxyType
from typing import Generic, NamedTuple, TypeVar, cast, overload
from typing import NamedTuple, TypeVar, cast, overload
import cachetools
@ -48,7 +48,7 @@ class CacheInfo(NamedTuple):
)
class LRUCache(cachetools.LRUCache[_K, _V], Generic[_K, _V]):
class LRUCache(cachetools.LRUCache[_K, _V]):
def __init__(self, capacity: float, getsizeof: Callable[[_V], float] | None = None):
super().__init__(capacity, getsizeof)