from typing import Optional
import inspect
import sys
import warnings
from functools import wraps
[docs]def PublicAPI(*args, **kwargs):
"""Annotation for documenting public APIs.
Public APIs are classes and methods exposed to end users of Ray.
If ``stability="alpha"``, the API can be used by advanced users who are
tolerant to and expect breaking changes.
If ``stability="beta"``, the API is still public and can be used by early
users, but are subject to change.
If ``stability="stable"``, the APIs will remain backwards compatible across
minor Ray releases (e.g., Ray 1.4 -> 1.8).
For a full definition of the stability levels, please refer to the
:ref:`Ray API Stability definitions <api-stability>`.
Args:
stability: One of {"stable", "beta", "alpha"}.
Examples:
>>> from ray.util.annotations import PublicAPI
>>> @PublicAPI
... def func(x):
... return x
>>> @PublicAPI(stability="beta")
... def func(y):
... return y
"""
if len(args) == 1 and len(kwargs) == 0 and callable(args[0]):
return PublicAPI(stability="stable")(args[0])
if "stability" in kwargs:
stability = kwargs["stability"]
assert stability in ["stable", "beta", "alpha"], stability
elif kwargs:
raise ValueError("Unknown kwargs: {}".format(kwargs.keys()))
else:
stability = "stable"
def wrap(obj):
if stability in ["alpha", "beta"]:
message = (
f"**PublicAPI ({stability}):** This API is in {stability} "
"and may change before becoming stable."
)
else:
message = "PublicAPI: This API is stable across Ray releases."
_append_doc(obj, message=message)
_mark_annotated(obj)
return obj
return wrap
[docs]def DeveloperAPI(*args, **kwargs):
"""Annotation for documenting developer APIs.
Developer APIs are lower-level methods explicitly exposed to advanced Ray
users and library developers. Their interfaces may change across minor
Ray releases.
Examples:
>>> from ray.util.annotations import DeveloperAPI
>>> @DeveloperAPI
... def func(x):
... return x
"""
if len(args) == 1 and len(kwargs) == 0 and callable(args[0]):
return DeveloperAPI()(args[0])
def wrap(obj):
_append_doc(
obj,
message="**DeveloperAPI:** This API may change across minor Ray releases.",
)
_mark_annotated(obj)
return obj
return wrap
class RayDeprecationWarning(DeprecationWarning):
"""Specialized Deprecation Warning for fine grained filtering control"""
pass
# By default, print the first occurrence of matching warnings for
# each module where the warning is issued (regardless of line number)
if not sys.warnoptions:
warnings.filterwarnings("module", category=RayDeprecationWarning)
[docs]def Deprecated(*args, **kwargs):
"""Annotation for documenting a deprecated API.
Deprecated APIs may be removed in future releases of Ray.
Args:
message: a message to help users understand the reason for the
deprecation, and provide a migration path.
Examples:
>>> from ray.util.annotations import Deprecated
>>> @Deprecated
... def func(x):
... return x
>>> @Deprecated(message="g() is deprecated because the API is error "
... "prone. Please call h() instead.")
... def g(y):
... return y
"""
if len(args) == 1 and len(kwargs) == 0 and callable(args[0]):
return Deprecated()(args[0])
doc_message = (
"**DEPRECATED**: This API is deprecated and may be removed "
"in future Ray releases."
)
warning_message = (
"This API is deprecated and may be removed in future Ray releases. "
"You could suppress this warning by setting env variable "
'PYTHONWARNINGS="ignore::DeprecationWarning"'
)
warning = kwargs.pop("warning", False)
if "message" in kwargs:
doc_message = doc_message + "\n" + kwargs["message"]
warning_message = warning_message + "\n" + kwargs["message"]
del kwargs["message"]
if kwargs:
raise ValueError("Unknown kwargs: {}".format(kwargs.keys()))
def inner(obj):
_append_doc(obj, message=doc_message, directive="warning")
_mark_annotated(obj)
if not warning:
return obj
if inspect.isclass(obj):
obj_init = obj.__init__
def patched_init(*args, **kwargs):
warnings.warn(warning_message, RayDeprecationWarning, stacklevel=2)
return obj_init(*args, **kwargs)
obj.__init__ = patched_init
return obj
else:
# class method or function.
@wraps(obj)
def wrapper(*args, **kwargs):
warnings.warn(warning_message, RayDeprecationWarning, stacklevel=2)
return obj(*args, **kwargs)
return wrapper
return inner
def _append_doc(obj, *, message: str, directive: Optional[str] = None) -> str:
if not obj.__doc__:
obj.__doc__ = ""
obj.__doc__ = obj.__doc__.rstrip()
indent = _get_indent(obj.__doc__)
obj.__doc__ += "\n\n"
if directive is not None:
obj.__doc__ += f"{' ' * indent}.. {directive}::\n\n"
message = message.replace("\n", "\n" + " " * (indent + 4))
obj.__doc__ += f"{' ' * (indent + 4)}{message}"
else:
message = message.replace("\n", "\n" + " " * (indent + 4))
obj.__doc__ += f"{' ' * indent}{message}"
obj.__doc__ += f"\n{' ' * indent}"
def _get_indent(docstring: str) -> int:
"""
Example:
>>> def f():
... '''Docstring summary.'''
>>> f.__doc__
'Docstring summary.'
>>> _get_indent(f.__doc__)
0
>>> def g(foo):
... '''Docstring summary.
...
... Args:
... foo: Does bar.
... '''
>>> g.__doc__
'Docstring summary.\\n\\n Args:\\n foo: Does bar.\\n '
>>> _get_indent(g.__doc__)
4
>>> class A:
... def h():
... '''Docstring summary.
...
... Returns:
... None.
... '''
>>> A.h.__doc__
'Docstring summary.\\n\\n Returns:\\n None.\\n '
>>> _get_indent(A.h.__doc__)
8
"""
if not docstring:
return 0
non_empty_lines = list(filter(bool, docstring.splitlines()))
if len(non_empty_lines) == 1:
# Docstring contains summary only.
return 0
# The docstring summary isn't indented, so check the indentation of the second
# non-empty line.
return len(non_empty_lines[1]) - len(non_empty_lines[1].lstrip())
def _mark_annotated(obj) -> None:
# Set magic token for check_api_annotations linter.
if hasattr(obj, "__name__"):
obj._annotated = obj.__name__
def _is_annotated(obj) -> bool:
# Check the magic token exists and applies to this class (not a subclass).
return hasattr(obj, "_annotated") and obj._annotated == obj.__name__