"""Helper functions for deprecating parts of the LangChain API.
This module was adapted from matplotlibs _api/deprecation.py module:
https://github.com/matplotlib/matplotlib/blob/main/lib/matplotlib/_api/deprecation.py
.. warning::
This module is for internal use only. Do not use it in your own code.
We may change the API at any time with no warning.
"""
import contextlib
import functools
import inspect
import warnings
from typing import (
Any,
Callable,
Generator,
Type,
TypeVar,
Union,
cast,
)
from typing_extensions import ParamSpec
from langchain_core._api.internal import is_caller_internal
class LangChainDeprecationWarning(DeprecationWarning):
"""A class for issuing deprecation warnings for LangChain users."""
class LangChainPendingDeprecationWarning(PendingDeprecationWarning):
"""A class for issuing deprecation warnings for LangChain users."""
# PUBLIC API
# Last Any should be FieldInfoV1 but this leads to circular imports
T = TypeVar("T", bound=Union[Type, Callable[..., Any], Any])
def _validate_deprecation_params(
pending: bool,
removal: str,
alternative: str,
alternative_import: str,
) -> None:
"""Validate the deprecation parameters."""
if pending and removal:
raise ValueError("A pending deprecation cannot have a scheduled removal")
if alternative and alternative_import:
raise ValueError("Cannot specify both alternative and alternative_import")
if alternative_import and "." not in alternative_import:
raise ValueError(
"alternative_import must be a fully qualified module path. Got "
f" {alternative_import}"
)
def deprecated(
since: str,
*,
message: str = "",
name: str = "",
alternative: str = "",
alternative_import: str = "",
pending: bool = False,
obj_type: str = "",
addendum: str = "",
removal: str = "",
package: str = "",
) -> Callable[[T], T]:
"""Decorator to mark a function, a class, or a property as deprecated.
When deprecating a classmethod, a staticmethod, or a property, the
``@deprecated`` decorator should go *under* ``@classmethod`` and
``@staticmethod`` (i.e., `deprecated` should directly decorate the
underlying callable), but *over* ``@property``.
When deprecating a class ``C`` intended to be used as a base class in a
multiple inheritance hierarchy, ``C`` *must* define an ``__init__`` method
(if ``C`` instead inherited its ``__init__`` from its own base class, then
``@deprecated`` would mess up ``__init__`` inheritance when installing its
own (deprecation-emitting) ``C.__init__``).
Parameters are the same as for `warn_deprecated`, except that *obj_type*
defaults to 'class' if decorating a class, 'attribute' if decorating a
property, and 'function' otherwise.
Arguments:
since : str
The release at which this API became deprecated.
message : str, optional
Override the default deprecation message. The %(since)s,
%(name)s, %(alternative)s, %(obj_type)s, %(addendum)s,
and %(removal)s format specifiers will be replaced by the
values of the respective arguments passed to this function.
name : str, optional
The name of the deprecated object.
alternative : str, optional
An alternative API that the user may use in place of the
deprecated API. The deprecation warning will tell the user
about this alternative if provided.
pending : bool, optional
If True, uses a PendingDeprecationWarning instead of a
DeprecationWarning. Cannot be used together with removal.
obj_type : str, optional
The object type being deprecated.
addendum : str, optional
Additional text appended directly to the final message.
removal : str, optional
The expected removal version. With the default (an empty
string), a removal version is automatically computed from
since. Set to other Falsy values to not schedule a removal
date. Cannot be used together with pending.
Examples
--------
.. code-block:: python
@deprecated('1.4.0')
def the_function_to_deprecate():
pass
"""
_validate_deprecation_params(pending, removal, alternative, alternative_import)
def deprecate(
obj: T,
*,
_obj_type: str = obj_type,
_name: str = name,
_message: str = message,
_alternative: str = alternative,
_alternative_import: str = alternative_import,
_pending: bool = pending,
_addendum: str = addendum,
_package: str = package,
) -> T:
"""Implementation of the decorator returned by `deprecated`."""
from langchain_core.utils.pydantic import FieldInfoV1
def emit_warning() -> None:
"""Emit the warning."""
warn_deprecated(
since,
message=_message,
name=_name,
alternative=_alternative,
alternative_import=_alternative_import,
pending=_pending,
obj_type=_obj_type,
addendum=_addendum,
removal=removal,
package=_package,
)
warned = False
def warning_emitting_wrapper(*args: Any, **kwargs: Any) -> Any:
"""Wrapper for the original wrapped callable that emits a warning.
Args:
*args: The positional arguments to the function.
**kwargs: The keyword arguments to the function.
Returns:
The return value of the function being wrapped.
"""
nonlocal warned
if not warned and not is_caller_internal():
warned = True
emit_warning()
return wrapped(*args, **kwargs)
async def awarning_emitting_wrapper(*args: Any, **kwargs: Any) -> Any:
"""Same as warning_emitting_wrapper, but for async functions."""
nonlocal warned
if not warned and not is_caller_internal():
warned = True
emit_warning()
return await wrapped(*args, **kwargs)
_package = _package or obj.__module__.split(".")[0].replace("_", "-")
if isinstance(obj, type):
if not _obj_type:
_obj_type = "class"
wrapped = obj.__init__ # type: ignore
_name = _name or obj.__qualname__
old_doc = obj.__doc__
def finalize(wrapper: Callable[..., Any], new_doc: str) -> T:
"""Finalize the deprecation of a class."""
try:
obj.__doc__ = new_doc
except AttributeError: # Can't set on some extension objects.
pass
def warn_if_direct_instance(
self: Any, *args: Any, **kwargs: Any
) -> Any:
"""Warn that the class is in beta."""
nonlocal warned
if not warned and type(self) is obj and not is_caller_internal():
warned = True
emit_warning()
return wrapped(self, *args, **kwargs)
obj.__init__ = functools.wraps(obj.__init__)( # type: ignore[misc]
warn_if_direct_instance
)
return cast(T, obj)
elif isinstance(obj, FieldInfoV1):
wrapped = None
if not _obj_type:
_obj_type = "attribute"
if not _name:
raise ValueError(f"Field {obj} must have a name to be deprecated.")
old_doc = obj.description
def finalize(wrapper: Callable[..., Any], new_doc: str) -> T:
return cast(
T,
FieldInfoV1(
default=obj.default,
default_factory=obj.default_factory,
description=new_doc,
alias=obj.alias,
exclude=obj.exclude,
),
)
elif isinstance(obj, property):
if not _obj_type:
_obj_type = "attribute"
wrapped = None
_name = _name or cast(Union[Type, Callable], obj.fget).__qualname__
old_doc = obj.__doc__
class _deprecated_property(property):
"""A deprecated property."""
def __init__(self, fget=None, fset=None, fdel=None, doc=None): # type: ignore[no-untyped-def]
super().__init__(fget, fset, fdel, doc)
self.__orig_fget = fget
self.__orig_fset = fset
self.__orig_fdel = fdel
def __get__(self, instance, owner=None): # type: ignore[no-untyped-def]
if instance is not None or owner is not None:
emit_warning()
return self.fget(instance)
def __set__(self, instance, value): # type: ignore[no-untyped-def]
if instance is not None:
emit_warning()
return self.fset(instance, value)
def __delete__(self, instance): # type: ignore[no-untyped-def]
if instance is not None:
emit_warning()
return self.fdel(instance)
def __set_name__(self, owner, set_name): # type: ignore[no-untyped-def]
nonlocal _name
if _name == "<lambda>":
_name = set_name
def finalize(wrapper: Callable[..., Any], new_doc: str) -> T:
"""Finalize the property."""
return cast(
T,
_deprecated_property(
fget=obj.fget, fset=obj.fset, fdel=obj.fdel, doc=new_doc
),
)
else:
_name = _name or cast(Union[Type, Callable], obj).__qualname__
if not _obj_type:
# edge case: when a function is within another function
# within a test, this will call it a "method" not a "function"
_obj_type = "function" if "." not in _name else "method"
wrapped = obj
old_doc = wrapped.__doc__
def finalize(wrapper: Callable[..., Any], new_doc: str) -> T:
"""Wrap the wrapped function using the wrapper and update the docstring.
Args:
wrapper: The wrapper function.
new_doc: The new docstring.
Returns:
The wrapped function.
"""
wrapper = functools.wraps(wrapped)(wrapper)
wrapper.__doc__ = new_doc
return cast(T, wrapper)
old_doc = inspect.cleandoc(old_doc or "").strip("\n")
# old_doc can be None
if not old_doc:
old_doc = ""
# Modify the docstring to include a deprecation notice.
components = [
_message,
f"Use ``{_alternative}`` instead." if _alternative else "",
f"Use ``{_alternative_import}`` instead." if _alternative_import else "",
_addendum,
]
details = " ".join([component.strip() for component in components if component])
package = (
_package or _name.split(".")[0].replace("_", "-") if "." in _name else None
)
since_str = f"{package}=={since}" if package else since
new_doc = f"""\
.. deprecated:: {since_str} {details}
{old_doc}\
"""
if inspect.iscoroutinefunction(obj):
finalized = finalize(awarning_emitting_wrapper, new_doc)
else:
finalized = finalize(warning_emitting_wrapper, new_doc)
return cast(T, finalized)
return deprecate
@contextlib.contextmanager
def suppress_langchain_deprecation_warning() -> Generator[None, None, None]:
"""Context manager to suppress LangChainDeprecationWarning."""
with warnings.catch_warnings():
warnings.simplefilter("ignore", LangChainDeprecationWarning)
warnings.simplefilter("ignore", LangChainPendingDeprecationWarning)
yield
def warn_deprecated(
since: str,
*,
message: str = "",
name: str = "",
alternative: str = "",
alternative_import: str = "",
pending: bool = False,
obj_type: str = "",
addendum: str = "",
removal: str = "",
package: str = "",
) -> None:
"""Display a standardized deprecation.
Arguments:
since : str
The release at which this API became deprecated.
message : str, optional
Override the default deprecation message. The %(since)s,
%(name)s, %(alternative)s, %(obj_type)s, %(addendum)s,
and %(removal)s format specifiers will be replaced by the
values of the respective arguments passed to this function.
name : str, optional
The name of the deprecated object.
alternative : str, optional
An alternative API that the user may use in place of the
deprecated API. The deprecation warning will tell the user
about this alternative if provided.
pending : bool, optional
If True, uses a PendingDeprecationWarning instead of a
DeprecationWarning. Cannot be used together with removal.
obj_type : str, optional
The object type being deprecated.
addendum : str, optional
Additional text appended directly to the final message.
removal : str, optional
The expected removal version. With the default (an empty
string), a removal version is automatically computed from
since. Set to other Falsy values to not schedule a removal
date. Cannot be used together with pending.
"""
if not pending:
if not removal:
removal = f"in {removal}" if removal else "within ?? minor releases"
raise NotImplementedError(
f"Need to determine which default deprecation schedule to use. "
f"{removal}"
)
else:
removal = f"in {removal}"
if not message:
message = ""
_package = (
package or name.split(".")[0].replace("_", "-")
if "." in name
else "LangChain"
)
if obj_type:
message += f"The {obj_type} `{name}`"
else:
message += f"`{name}`"
if pending:
message += " will be deprecated in a future version"
else:
message += f" was deprecated in {_package} {since}"
if removal:
message += f" and will be removed {removal}"
if alternative_import:
alt_package = alternative_import.split(".")[0].replace("_", "-")
if alt_package == _package:
message += f". Use {alternative_import} instead."
else:
alt_module, alt_name = alternative_import.rsplit(".", 1)
message += (
f". An updated version of the {obj_type} exists in the "
f"{alt_package} package and should be used instead. To use it run "
f"`pip install -U {alt_package}` and import as "
f"`from {alt_module} import {alt_name}`."
)
elif alternative:
message += f". Use {alternative} instead."
if addendum:
message += f" {addendum}"
warning_cls = (
LangChainPendingDeprecationWarning if pending else LangChainDeprecationWarning
)
warning = warning_cls(message)
warnings.warn(warning, category=LangChainDeprecationWarning, stacklevel=4)
def surface_langchain_deprecation_warnings() -> None:
"""Unmute LangChain deprecation warnings."""
warnings.filterwarnings(
"default",
category=LangChainPendingDeprecationWarning,
)
warnings.filterwarnings(
"default",
category=LangChainDeprecationWarning,
)
_P = ParamSpec("_P")
_R = TypeVar("_R")
def rename_parameter(
*,
since: str,
removal: str,
old: str,
new: str,
) -> Callable[[Callable[_P, _R]], Callable[_P, _R]]:
"""Decorator indicating that parameter *old* of *func* is renamed to *new*.
The actual implementation of *func* should use *new*, not *old*. If *old*
is passed to *func*, a DeprecationWarning is emitted, and its value is
used, even if *new* is also passed by keyword.
Example:
.. code-block:: python
@_api.rename_parameter("3.1", "bad_name", "good_name")
def func(good_name): ...
"""
def decorator(f: Callable[_P, _R]) -> Callable[_P, _R]:
@functools.wraps(f)
def wrapper(*args: _P.args, **kwargs: _P.kwargs) -> _R:
if new in kwargs and old in kwargs:
raise TypeError(
f"{f.__name__}() got multiple values for argument {new!r}"
)
if old in kwargs:
warn_deprecated(
since,
removal=removal,
message=f"The parameter `{old}` of `{f.__name__}` was "
f"deprecated in {since} and will be removed "
f"in {removal} Use `{new}` instead.",
)
kwargs[new] = kwargs.pop(old)
return f(*args, **kwargs)
return wrapper
return decorator
