mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-09-12 20:57:52 +02:00
Nc/12sep/perf (#1702)
* Remove unused fil;e * Add benchmark-fast command for running locally * Small improvements to jsonplus serializer * Don't use PregelNode.mapper when schema is a typed dict - All it would do is create a new copy of same dict * Avoid copying checkpoint when fetching at beginning of loop * Fix needs array * Update tests
This commit is contained in:
@@ -14,7 +14,6 @@ jobs:
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defaults:
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run:
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working-directory: libs/langgraph
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needs: [baseline]
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steps:
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- uses: actions/checkout@v4
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- id: files
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@@ -16,7 +16,7 @@ from ipaddress import (
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IPv6Interface,
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IPv6Network,
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)
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from typing import Any, Optional
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from typing import Any, Optional, Sequence
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from uuid import UUID
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from langchain_core.load.load import Reviver
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@@ -35,66 +35,70 @@ class JsonPlusSerializer(SerializerProtocol):
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constructor: type[Any],
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*,
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method: Optional[str] = None,
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args: Optional[list[Any]] = None,
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args: Optional[Sequence[Any]] = None,
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kwargs: Optional[dict[str, Any]] = None,
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):
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return {
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out = {
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"lc": 2,
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"type": "constructor",
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"id": [*constructor.__module__.split("."), constructor.__name__],
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"method": method,
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"args": args if args is not None else [],
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"kwargs": kwargs if kwargs is not None else {},
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"id": (*constructor.__module__.split("."), constructor.__name__),
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}
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if method is not None:
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out["method"] = method
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if args is not None:
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out["args"] = args
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if kwargs is not None:
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out["kwargs"] = kwargs
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return out
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def _default(self, obj):
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if isinstance(obj, Serializable):
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return obj.to_json()
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elif hasattr(obj, "model_dump") and callable(obj.model_dump):
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return self._encode_constructor_args(
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obj.__class__, method=[None, "model_construct"], kwargs=obj.model_dump()
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obj.__class__, method=(None, "model_construct"), kwargs=obj.model_dump()
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)
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elif hasattr(obj, "dict") and callable(obj.dict):
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return self._encode_constructor_args(
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obj.__class__, method=[None, "construct"], kwargs=obj.dict()
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obj.__class__, method=(None, "construct"), kwargs=obj.dict()
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)
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elif isinstance(obj, pathlib.Path):
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return self._encode_constructor_args(pathlib.Path, args=obj.parts)
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elif isinstance(obj, re.Pattern):
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return self._encode_constructor_args(
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re.compile, args=[obj.pattern, obj.flags]
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re.compile, args=(obj.pattern, obj.flags)
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)
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elif isinstance(obj, UUID):
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return self._encode_constructor_args(UUID, args=[obj.hex])
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return self._encode_constructor_args(UUID, args=(obj.hex,))
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elif isinstance(obj, decimal.Decimal):
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return self._encode_constructor_args(decimal.Decimal, args=[str(obj)])
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return self._encode_constructor_args(decimal.Decimal, args=(str(obj),))
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elif isinstance(obj, (set, frozenset, deque)):
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return self._encode_constructor_args(type(obj), args=[list(obj)])
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return self._encode_constructor_args(type(obj), args=(tuple(obj),))
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elif isinstance(obj, (IPv4Address, IPv4Interface, IPv4Network)):
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return self._encode_constructor_args(obj.__class__, args=[str(obj)])
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return self._encode_constructor_args(obj.__class__, args=(str(obj),))
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elif isinstance(obj, (IPv6Address, IPv6Interface, IPv6Network)):
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return self._encode_constructor_args(obj.__class__, args=[str(obj)])
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return self._encode_constructor_args(obj.__class__, args=(str(obj),))
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elif isinstance(obj, datetime):
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return self._encode_constructor_args(
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datetime, method="fromisoformat", args=[obj.isoformat()]
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datetime, method="fromisoformat", args=(obj.isoformat(),)
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)
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elif isinstance(obj, timezone):
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return self._encode_constructor_args(timezone, args=obj.__getinitargs__())
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elif isinstance(obj, ZoneInfo):
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return self._encode_constructor_args(ZoneInfo, args=[obj.key])
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return self._encode_constructor_args(ZoneInfo, args=(obj.key,))
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elif isinstance(obj, timedelta):
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return self._encode_constructor_args(
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timedelta, args=[obj.days, obj.seconds, obj.microseconds]
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timedelta, args=(obj.days, obj.seconds, obj.microseconds)
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)
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elif isinstance(obj, date):
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return self._encode_constructor_args(
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date, args=[obj.year, obj.month, obj.day]
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date, args=(obj.year, obj.month, obj.day)
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)
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elif isinstance(obj, time):
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return self._encode_constructor_args(
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time,
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args=[obj.hour, obj.minute, obj.second, obj.microsecond, obj.tzinfo],
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args=(obj.hour, obj.minute, obj.second, obj.microsecond, obj.tzinfo),
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kwargs={"fold": obj.fold},
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)
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elif dataclasses.is_dataclass(obj):
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@@ -106,14 +110,14 @@ class JsonPlusSerializer(SerializerProtocol):
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},
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)
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elif isinstance(obj, Enum):
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return self._encode_constructor_args(obj.__class__, args=[obj.value])
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return self._encode_constructor_args(obj.__class__, args=(obj.value,))
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elif isinstance(obj, SendProtocol):
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return self._encode_constructor_args(
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obj.__class__, kwargs={"node": obj.node, "arg": obj.arg}
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)
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elif isinstance(obj, (bytes, bytearray)):
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return self._encode_constructor_args(
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obj.__class__, method="fromhex", args=[obj.hex()]
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obj.__class__, method="fromhex", args=(obj.hex(),)
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)
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elif isinstance(obj, BaseException):
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return repr(obj)
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@@ -136,25 +140,28 @@ class JsonPlusSerializer(SerializerProtocol):
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# Import class
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cls = getattr(mod, name)
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# Instantiate class
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if isinstance(value["method"], str):
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methods = [getattr(cls, value["method"])]
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elif isinstance(value["method"], list):
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method = value.get("method")
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if isinstance(method, str):
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methods = [getattr(cls, method)]
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elif isinstance(method, list):
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methods = [
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cls if method is None else getattr(cls, method)
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for method in value["method"]
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for method in method
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]
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else:
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methods = [cls]
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args = value.get("args")
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kwargs = value.get("kwargs")
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for method in methods:
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try:
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if isclass(method) and issubclass(method, BaseException):
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return None
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if value["args"] and value["kwargs"]:
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return method(*value["args"], **value["kwargs"])
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elif value["args"]:
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return method(*value["args"])
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elif value["kwargs"]:
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return method(**value["kwargs"])
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if args and kwargs:
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return method(*args, **kwargs)
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elif args:
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return method(*args)
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elif kwargs:
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return method(**kwargs)
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else:
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return method()
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except Exception:
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@@ -122,7 +122,7 @@ def test_serde_jsonplus() -> None:
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assert dumped == (
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"json",
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b"""{"path": {"lc": 2, "type": "constructor", "id": ["pathlib", "Path"], "method": null, "args": ["foo", "bar"], "kwargs": {}}, "re": {"lc": 2, "type": "constructor", "id": ["re", "compile"], "method": null, "args": ["foo", 48], "kwargs": {}}, "decimal": {"lc": 2, "type": "constructor", "id": ["decimal", "Decimal"], "method": null, "args": ["1.10101"], "kwargs": {}}, "ip4": {"lc": 2, "type": "constructor", "id": ["ipaddress", "IPv4Address"], "method": null, "args": ["192.168.0.1"], "kwargs": {}}, "deque": {"lc": 2, "type": "constructor", "id": ["collections", "deque"], "method": null, "args": [[1, 2, 3]], "kwargs": {}}, "tzn": {"lc": 2, "type": "constructor", "id": ["zoneinfo", "ZoneInfo"], "method": null, "args": ["America/New_York"], "kwargs": {}}, "date": {"lc": 2, "type": "constructor", "id": ["datetime", "date"], "method": null, "args": [2024, 4, 19], "kwargs": {}}, "time": {"lc": 2, "type": "constructor", "id": ["datetime", "time"], "method": null, "args": [23, 4, 57, 51022, {"lc": 2, "type": "constructor", "id": ["datetime", "timezone"], "method": null, "args": [{"lc": 2, "type": "constructor", "id": ["datetime", "timedelta"], "method": null, "args": [0, 86340, 0], "kwargs": {}}], "kwargs": {}}], "kwargs": {"fold": 0}}, "uid": {"lc": 2, "type": "constructor", "id": ["uuid", "UUID"], "method": null, "args": ["00000000000000000000000000000001"], "kwargs": {}}, "timestamp": {"lc": 2, "type": "constructor", "id": ["datetime", "datetime"], "method": "fromisoformat", "args": ["2024-04-19T23:04:57.051022+23:59"], "kwargs": {}}, "my_slotted_class": {"lc": 2, "type": "constructor", "id": ["tests", "test_jsonplus", "MyDataclassWSlots"], "method": null, "args": [], "kwargs": {"foo": "bar", "bar": 2}}, "my_dataclass": {"lc": 2, "type": "constructor", "id": ["tests", "test_jsonplus", "MyDataclass"], "method": null, "args": [], "kwargs": {"foo": "foo", "bar": 1}}, "my_enum": {"lc": 2, "type": "constructor", "id": ["tests", "test_jsonplus", "MyEnum"], "method": null, "args": ["foo"], "kwargs": {}}, "my_pydantic": {"lc": 2, "type": "constructor", "id": ["tests", "test_jsonplus", "MyPydantic"], "method": [null, "model_construct"], "args": [], "kwargs": {"foo": "foo", "bar": 1}}, "my_funny_pydantic": {"lc": 2, "type": "constructor", "id": ["tests", "test_jsonplus", "MyFunnyPydantic"], "method": [null, "construct"], "args": [], "kwargs": {"foo": "foo", "bar": 1}}, "person": {"lc": 2, "type": "constructor", "id": ["tests", "test_jsonplus", "Person"], "method": null, "args": [], "kwargs": {"name": "foo"}}, "a_bool": true, "a_none": null, "a_str": "foo", "a_str_nuc": "foo\\u0000", "a_str_uc": "foo \xe2\x9b\xb0\xef\xb8\x8f", "a_str_ucuc": "foo \xe2\x9b\xb0\xef\xb8\x8f\\u0000", "a_str_ucucuc": "foo \\\\u26f0\\\\ufe0f", "text": ["Hello", "Python", "Surrogate", "Example", "String", "With", "Surrogates", "Embedded", "In", "The", "Text", "\xe6\x94\xb6\xe8\x8a\xb1\xf0\x9f\x99\x84\xc2\xb7\xe5\x88\xb0"], "an_int": 1, "a_float": 1.1, "runnable_map": {"lc": 1, "type": "constructor", "id": ["langchain", "schema", "runnable", "RunnableParallel"], "kwargs": {"steps__": {}}, "name": "RunnableParallel<>", "graph": {"nodes": [{"id": 0, "type": "schema", "data": "Parallel<>Input"}, {"id": 1, "type": "schema", "data": "Parallel<>Output"}], "edges": []}}}""",
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b"""{"path": {"lc": 2, "type": "constructor", "id": ["pathlib", "Path"], "args": ["foo", "bar"]}, "re": {"lc": 2, "type": "constructor", "id": ["re", "compile"], "args": ["foo", 48]}, "decimal": {"lc": 2, "type": "constructor", "id": ["decimal", "Decimal"], "args": ["1.10101"]}, "ip4": {"lc": 2, "type": "constructor", "id": ["ipaddress", "IPv4Address"], "args": ["192.168.0.1"]}, "deque": {"lc": 2, "type": "constructor", "id": ["collections", "deque"], "args": [[1, 2, 3]]}, "tzn": {"lc": 2, "type": "constructor", "id": ["zoneinfo", "ZoneInfo"], "args": ["America/New_York"]}, "date": {"lc": 2, "type": "constructor", "id": ["datetime", "date"], "args": [2024, 4, 19]}, "time": {"lc": 2, "type": "constructor", "id": ["datetime", "time"], "args": [23, 4, 57, 51022, {"lc": 2, "type": "constructor", "id": ["datetime", "timezone"], "args": [{"lc": 2, "type": "constructor", "id": ["datetime", "timedelta"], "args": [0, 86340, 0]}]}], "kwargs": {"fold": 0}}, "uid": {"lc": 2, "type": "constructor", "id": ["uuid", "UUID"], "args": ["00000000000000000000000000000001"]}, "timestamp": {"lc": 2, "type": "constructor", "id": ["datetime", "datetime"], "method": "fromisoformat", "args": ["2024-04-19T23:04:57.051022+23:59"]}, "my_slotted_class": {"lc": 2, "type": "constructor", "id": ["tests", "test_jsonplus", "MyDataclassWSlots"], "kwargs": {"foo": "bar", "bar": 2}}, "my_dataclass": {"lc": 2, "type": "constructor", "id": ["tests", "test_jsonplus", "MyDataclass"], "kwargs": {"foo": "foo", "bar": 1}}, "my_enum": {"lc": 2, "type": "constructor", "id": ["tests", "test_jsonplus", "MyEnum"], "args": ["foo"]}, "my_pydantic": {"lc": 2, "type": "constructor", "id": ["tests", "test_jsonplus", "MyPydantic"], "method": [null, "model_construct"], "kwargs": {"foo": "foo", "bar": 1}}, "my_funny_pydantic": {"lc": 2, "type": "constructor", "id": ["tests", "test_jsonplus", "MyFunnyPydantic"], "method": [null, "construct"], "kwargs": {"foo": "foo", "bar": 1}}, "person": {"lc": 2, "type": "constructor", "id": ["tests", "test_jsonplus", "Person"], "kwargs": {"name": "foo"}}, "a_bool": true, "a_none": null, "a_str": "foo", "a_str_nuc": "foo\\u0000", "a_str_uc": "foo \xe2\x9b\xb0\xef\xb8\x8f", "a_str_ucuc": "foo \xe2\x9b\xb0\xef\xb8\x8f\\u0000", "a_str_ucucuc": "foo \\\\u26f0\\\\ufe0f", "text": ["Hello", "Python", "Surrogate", "Example", "String", "With", "Surrogates", "Embedded", "In", "The", "Text", "\xe6\x94\xb6\xe8\x8a\xb1\xf0\x9f\x99\x84\xc2\xb7\xe5\x88\xb0"], "an_int": 1, "a_float": 1.1, "runnable_map": {"lc": 1, "type": "constructor", "id": ["langchain", "schema", "runnable", "RunnableParallel"], "kwargs": {"steps__": {}}, "name": "RunnableParallel<>", "graph": {"nodes": [{"id": 0, "type": "schema", "data": "Parallel<>Input"}, {"id": 1, "type": "schema", "data": "Parallel<>Output"}], "edges": []}}}""",
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)
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assert serde.loads_typed(dumped) == {
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@@ -13,8 +13,14 @@ OUTPUT ?= out/benchmark.json
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benchmark:
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mkdir -p out
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rm -f $(OUTPUT)
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poetry run python -m bench -o $(OUTPUT) --rigorous
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benchmark-fast:
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mkdir -p out
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rm -f $(OUTPUT)
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poetry run python -m bench -o $(OUTPUT) --fast
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GRAPH ?= bench/fanout_to_subgraph.py
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profile:
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@@ -559,7 +559,9 @@ class CompiledStateGraph(CompiledGraph):
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channels=(list(input_values) if is_single_input else input_values),
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# coerce state dict to schema class (eg. pydantic model)
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mapper=(
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None if is_single_input else partial(_coerce_state, input_schema)
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None
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if is_single_input or issubclass(input_schema, dict)
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else partial(_coerce_state, input_schema)
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),
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writers=[
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# publish to this channel and state keys
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@@ -669,7 +671,11 @@ def _get_state_reader(
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select=select[0] if select == ["__root__"] else select,
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fresh=True,
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# coerce state dict to schema class (eg. pydantic model)
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mapper=(None if state_keys == ["__root__"] else partial(_coerce_state, schema)),
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mapper=(
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None
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if state_keys == ["__root__"] or issubclass(schema, dict)
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else partial(_coerce_state, schema)
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),
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)
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@@ -1,36 +0,0 @@
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from langgraph.constants import NS_SEP
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from langgraph.pregel.types import StateSnapshot
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def assemble_state_snapshot_hierarchy(
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root_checkpoint_ns: str,
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checkpoint_ns_to_state_snapshots: dict[str, StateSnapshot],
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) -> StateSnapshot:
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checkpoint_ns_list_to_visit = sorted(
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checkpoint_ns_to_state_snapshots.keys(),
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key=lambda x: len(x.split(NS_SEP)),
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)
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while checkpoint_ns_list_to_visit:
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checkpoint_ns = checkpoint_ns_list_to_visit.pop()
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state_snapshot = checkpoint_ns_to_state_snapshots[checkpoint_ns]
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*path, subgraph_node = checkpoint_ns.split(NS_SEP)
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parent_checkpoint_ns = NS_SEP.join(path)
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if subgraph_node and (
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parent_state_snapshot := checkpoint_ns_to_state_snapshots.get(
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parent_checkpoint_ns
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)
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):
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parent_subgraph_snapshots = {
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**(parent_state_snapshot.subgraphs or {}),
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subgraph_node: state_snapshot,
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}
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checkpoint_ns_to_state_snapshots[parent_checkpoint_ns] = (
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checkpoint_ns_to_state_snapshots[
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parent_checkpoint_ns
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]._replace(subgraphs=parent_subgraph_snapshots)
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)
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state_snapshot = checkpoint_ns_to_state_snapshots.pop(root_checkpoint_ns, None)
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if state_snapshot is None:
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raise ValueError(f"Missing checkpoint for checkpoint NS '{root_checkpoint_ns}'")
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return state_snapshot
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@@ -659,7 +659,7 @@ class SyncPregelLoop(PregelLoop, ContextManager):
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**saved.config.get("configurable", {}),
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},
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}
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self.checkpoint = copy_checkpoint(saved.checkpoint)
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self.checkpoint = saved.checkpoint
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self.checkpoint_metadata = saved.metadata
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self.checkpoint_pending_writes = (
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[(str(tid), k, v) for tid, k, v in saved.pending_writes]
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@@ -777,7 +777,7 @@ class AsyncPregelLoop(PregelLoop, AsyncContextManager):
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**saved.config.get("configurable", {}),
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},
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}
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self.checkpoint = copy_checkpoint(saved.checkpoint)
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self.checkpoint = saved.checkpoint
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self.checkpoint_metadata = saved.metadata
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self.checkpoint_pending_writes = (
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[(str(tid), k, v) for tid, k, v in saved.pending_writes]
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