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langgraph/libs/langgraph/langgraph/pregel/call.py
T
2024-12-04 15:38:43 -08:00

124 lines
4.2 KiB
Python

import sys
import types
from typing import Any, Callable, Optional
from langgraph.constants import RETURN
from langgraph.pregel.write import ChannelWrite, ChannelWriteEntry
from langgraph.utils.runnable import RunnableSeq, coerce_to_runnable
"""
Utilities borrowed from cloudpickle.
https://github.com/cloudpipe/cloudpickle/blob/6220b0ce83ffee5e47e06770a1ee38ca9e47c850/cloudpickle/cloudpickle.py#L265
"""
def _getattribute(obj: Any, name: str) -> Any:
for subpath in name.split("."):
if subpath == "<locals>":
raise AttributeError(
"Can't get local attribute {!r} on {!r}".format(name, obj)
)
try:
parent = obj
obj = getattr(obj, subpath)
except AttributeError:
raise AttributeError(
"Can't get attribute {!r} on {!r}".format(name, obj)
) from None
return obj, parent
def _whichmodule(obj: Any, name: str) -> Optional[str]:
"""Find the module an object belongs to.
This function differs from ``pickle.whichmodule`` in two ways:
- it does not mangle the cases where obj's module is __main__ and obj was
not found in any module.
- Errors arising during module introspection are ignored, as those errors
are considered unwanted side effects.
"""
module_name = getattr(obj, "__module__", None)
if module_name is not None:
return module_name
# Protect the iteration by using a copy of sys.modules against dynamic
# modules that trigger imports of other modules upon calls to getattr or
# other threads importing at the same time.
for module_name, module in sys.modules.copy().items():
# Some modules such as coverage can inject non-module objects inside
# sys.modules
if (
module_name == "__main__"
or module_name == "__mp_main__"
or module is None
or not isinstance(module, types.ModuleType)
):
continue
try:
if _getattribute(module, name)[0] is obj:
return module_name
except Exception:
pass
return None
def _lookup_module_and_qualname(
obj: Any, name: Optional[str] = None
) -> Optional[tuple[types.ModuleType, str]]:
if name is None:
name = getattr(obj, "__qualname__", None)
if name is None: # pragma: no cover
# This used to be needed for Python 2.7 support but is probably not
# needed anymore. However we keep the __name__ introspection in case
# users of cloudpickle rely on this old behavior for unknown reasons.
name = getattr(obj, "__name__", None)
if name is None:
return None
module_name = _whichmodule(obj, name)
if module_name is None:
# In this case, obj.__module__ is None AND obj was not found in any
# imported module. obj is thus treated as dynamic.
return None
if module_name == "__main__":
return None
# Note: if module_name is in sys.modules, the corresponding module is
# assumed importable at unpickling time. See #357
module = sys.modules.get(module_name, None)
if module is None:
# The main reason why obj's module would not be imported is that this
# module has been dynamically created, using for example
# types.ModuleType. The other possibility is that module was removed
# from sys.modules after obj was created/imported. But this case is not
# supported, as the standard pickle does not support it either.
return None
try:
obj2, parent = _getattribute(module, name)
except AttributeError:
# obj was not found inside the module it points to
return None
if obj2 is not obj:
return None
return module, name
def get_runnable_for_func(func: Callable[..., Any]) -> RunnableSeq:
if func in CACHE:
return CACHE[func]
else:
seq = RunnableSeq(
coerce_to_runnable(func, name=None, trace=False),
ChannelWrite([ChannelWriteEntry(RETURN)]),
name=func.__name__,
)
if not _lookup_module_and_qualname(func):
return seq
return CACHE.setdefault(func, seq)
CACHE: dict[Callable[..., Any], RunnableSeq] = {}