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2c3e380a35fa59a57c1aede44484568a94cb8c3b
langgraph/libs/checkpoint/tests/test_jsonplus.py
T
Sydney RunkleandGitHub 2c3e380a35 feat: adding cursory Python 3.14 support (#6298) 
* catching error thrown by asyncio
* using 2nd check for annotations given Pydantic 2.12 changes
* skipping tests for remote graph bc langgraph-api is dependent on
`jsonschema-rs`
* skipping tests w/ pydantic v1 models

```bash
hint: This usually indicates a problem with the package or the build environment.
  help: `jsonschema-rs` (v0.29.1) was included because `langgraph:dev` (v1.0.0rc1) depends on `langgraph-cli[inmem]` which
        depends on `langgraph-api` (v0.4.29) which depends on `jsonschema-rs`
```

not yet testing for free threaded python, that'll be much more involved!

ended up separating lint / testing deps during this process bc I was
getting a ton of not required deps while testing that were complicating
things :/
2025-10-17 08:26:52 -04:00

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import dataclasses
import pathlib
import re
import sys
import uuid
from collections import deque
from datetime import date, datetime, time, timezone
from decimal import Decimal
from enum import Enum
from ipaddress import IPv4Address
from zoneinfo import ZoneInfo
import dataclasses_json
import numpy as np
import pandas as pd
import pytest
from pydantic import BaseModel, SecretStr
from pydantic.v1 import BaseModel as BaseModelV1
from pydantic.v1 import SecretStr as SecretStrV1
from langgraph.checkpoint.serde.jsonplus import (
JsonPlusSerializer,
_msgpack_ext_hook_to_json,
)
from langgraph.store.base import Item
class InnerPydantic(BaseModel):
hello: str
class MyPydantic(BaseModel):
foo: str
bar: int
inner: InnerPydantic
class InnerPydanticV1(BaseModelV1):
hello: str
class MyPydanticV1(BaseModelV1):
foo: str
bar: int
inner: InnerPydanticV1
@dataclasses.dataclass
class InnerDataclass:
hello: str
@dataclasses.dataclass
class MyDataclass:
foo: str
bar: int
inner: InnerDataclass
def something(self) -> None:
pass
@dataclasses.dataclass(slots=True)
class MyDataclassWSlots:
foo: str
bar: int
inner: InnerDataclass
def something(self) -> None:
pass
class MyEnum(Enum):
FOO = "foo"
BAR = "bar"
@dataclasses_json.dataclass_json
@dataclasses.dataclass
class Person:
name: str
def test_serde_jsonplus() -> None:
uid = uuid.UUID(int=1)
deque_instance = deque([1, 2, 3])
tzn = ZoneInfo("America/New_York")
ip4 = IPv4Address("192.168.0.1")
current_date = date(2024, 4, 19)
current_time = time(23, 4, 57, 51022, timezone.max)
current_timestamp = datetime(2024, 4, 19, 23, 4, 57, 51022, timezone.max)
to_serialize = {
"path": pathlib.Path("foo", "bar"),
"re": re.compile(r"foo", re.DOTALL),
"decimal": Decimal("1.10101"),
"set": {1, 2, frozenset({1, 2})},
"frozen_set": frozenset({1, 2, 3}),
"ip4": ip4,
"deque": deque_instance,
"tzn": tzn,
"date": current_date,
"time": current_time,
"uid": uid,
"timestamp": current_timestamp,
"my_rich_dict": {(1, 2, 3): 45},
"my_slotted_class": MyDataclassWSlots("bar", 2, InnerDataclass("hello")),
"my_dataclass": MyDataclass("foo", 1, InnerDataclass("hello")),
"my_enum": MyEnum.FOO,
"my_pydantic": MyPydantic(foo="foo", bar=1, inner=InnerPydantic(hello="hello")),
"my_secret_str": SecretStr("meow"),
"person": Person(name="foo"),
"a_bool": True,
"a_none": None,
"a_str": "foo",
"a_str_nuc": "foo\u0000",
"a_str_uc": "foo ⛰️",
"a_str_ucuc": "foo \u26f0\ufe0f\u0000",
"a_str_ucucuc": "foo \\u26f0\\ufe0f",
"an_int": 1,
"a_float": 1.1,
"a_bytes": b"my bytes",
"a_bytearray": bytearray([42]),
"my_item": Item(
value={},
key="my-key",
namespace=("a", "name", " "),
created_at=datetime(2024, 9, 24, 17, 29, 10, 128397),
updated_at=datetime(2024, 9, 24, 17, 29, 11, 128397),
),
}
if sys.version_info < (3, 14):
to_serialize["my_pydantic_v1"] = MyPydanticV1(
foo="foo", bar=1, inner=InnerPydanticV1(hello="hello")
)
to_serialize["my_secret_str_v1"] = SecretStrV1("meow")
serde = JsonPlusSerializer()
dumped = serde.dumps_typed(to_serialize)
assert dumped[0] == "msgpack"
assert serde.loads_typed(dumped) == to_serialize
for value in to_serialize.values():
assert serde.loads_typed(serde.dumps_typed(value)) == value
surrogates = [
"Hello\ud83d\ude00",
"Python\ud83d\udc0d",
"Surrogate\ud834\udd1e",
"Example\ud83c\udf89",
"String\ud83c\udfa7",
"With\ud83c\udf08",
"Surrogates\ud83d\ude0e",
"Embedded\ud83d\udcbb",
"In\ud83c\udf0e",
"The\ud83d\udcd6",
"Text\ud83d\udcac",
"收花🙄·到",
]
assert serde.loads_typed(serde.dumps_typed(surrogates)) == [
v.encode("utf-8", "ignore").decode() for v in surrogates
]
def test_serde_jsonplus_json_mode() -> None:
uid = uuid.UUID(int=1)
deque_instance = deque([1, 2, 3])
tzn = ZoneInfo("America/New_York")
ip4 = IPv4Address("192.168.0.1")
current_date = date(2024, 4, 19)
current_time = time(23, 4, 57, 51022, timezone.max)
current_timestamp = datetime(2024, 4, 19, 23, 4, 57, 51022, timezone.max)
to_serialize = {
"path": pathlib.Path("foo", "bar"),
"re": re.compile(r"foo", re.DOTALL),
"decimal": Decimal("1.10101"),
"set": {1, 2, frozenset({1, 2})},
"frozen_set": frozenset({1, 2, 3}),
"ip4": ip4,
"deque": deque_instance,
"tzn": tzn,
"date": current_date,
"time": current_time,
"uid": uid,
"timestamp": current_timestamp,
"my_slotted_class": MyDataclassWSlots("bar", 2, InnerDataclass("hello")),
"my_dataclass": MyDataclass("foo", 1, InnerDataclass("hello")),
"my_enum": MyEnum.FOO,
"my_pydantic": MyPydantic(foo="foo", bar=1, inner=InnerPydantic(hello="hello")),
"my_secret_str": SecretStr("meow"),
"person": Person(name="foo"),
"a_bool": True,
"a_none": None,
"a_str": "foo",
"a_str_nuc": "foo\u0000",
"a_str_uc": "foo ⛰️",
"a_str_ucuc": "foo \u26f0\ufe0f\u0000",
"a_str_ucucuc": "foo \\u26f0\\ufe0f",
"an_int": 1,
"a_float": 1.1,
"a_bytes": b"my bytes",
"a_bytearray": bytearray([42]),
"my_item": Item(
value={},
key="my-key",
namespace=("a", "name", " "),
created_at=datetime(2024, 9, 24, 17, 29, 10, 128397),
updated_at=datetime(2024, 9, 24, 17, 29, 11, 128397),
),
}
if sys.version_info < (3, 14):
to_serialize["my_pydantic_v1"] = MyPydanticV1(
foo="foo", bar=1, inner=InnerPydanticV1(hello="hello")
)
to_serialize["my_secret_str_v1"] = SecretStrV1("meow")
serde = JsonPlusSerializer(__unpack_ext_hook__=_msgpack_ext_hook_to_json)
dumped = serde.dumps_typed(to_serialize)
assert dumped[0] == "msgpack"
result = serde.loads_typed(dumped)
expected_result = {
"path": ["foo", "bar"],
"re": ["foo", 48],
"decimal": "1.10101",
"set": [1, 2, [1, 2]],
"frozen_set": [1, 2, 3],
"ip4": "192.168.0.1",
"deque": [1, 2, 3],
"tzn": "America/New_York",
"date": [2024, 4, 19],
"time": {
"hour": 23,
"minute": 4,
"second": 57,
"microsecond": 51022,
"tzinfo": [[0, 86340, 0]],
"fold": 0,
},
"uid": "00000000-0000-0000-0000-000000000001",
"timestamp": "2024-04-19T23:04:57.051022+23:59",
"my_slotted_class": {"foo": "bar", "bar": 2, "inner": {"hello": "hello"}},
"my_dataclass": {"foo": "foo", "bar": 1, "inner": {"hello": "hello"}},
"my_enum": "foo",
"my_pydantic": {"foo": "foo", "bar": 1, "inner": {"hello": "hello"}},
"my_secret_str": "meow",
"person": {"name": "foo"},
"a_bool": True,
"a_none": None,
"a_str": "foo",
"a_str_nuc": "foo\x00",
"a_str_uc": "foo ⛰️",
"a_str_ucuc": "foo ⛰️\x00",
"a_str_ucucuc": "foo \\u26f0\\ufe0f",
"an_int": 1,
"a_float": 1.1,
"a_bytes": b"my bytes",
"a_bytearray": b"*",
"my_item": {
"namespace": ["a", "name", " "],
"key": "my-key",
"value": {},
"created_at": "2024-09-24T17:29:10.128397",
"updated_at": "2024-09-24T17:29:11.128397",
},
}
if sys.version_info < (3, 14):
expected_result["my_pydantic_v1"] = {"foo": "foo", "bar": 1, "inner": {"hello": "hello"}}
expected_result["my_secret_str_v1"] = "meow"
assert result == expected_result
def test_serde_jsonplus_bytes() -> None:
serde = JsonPlusSerializer()
some_bytes = b"my bytes"
dumped = serde.dumps_typed(some_bytes)
assert dumped == ("bytes", some_bytes)
assert serde.loads_typed(dumped) == some_bytes
def test_serde_jsonplus_bytearray() -> None:
serde = JsonPlusSerializer()
some_bytearray = bytearray([42])
dumped = serde.dumps_typed(some_bytearray)
assert dumped == ("bytearray", some_bytearray)
assert serde.loads_typed(dumped) == some_bytearray
@pytest.mark.parametrize(
"arr",
[
np.arange(9, dtype=np.int32).reshape(3, 3),
np.asfortranarray(np.arange(9, dtype=np.float64).reshape(3, 3)),
np.arange(12, dtype=np.int16)[::2].reshape(3, 2),
],
)
def test_serde_jsonplus_numpy_array(arr: np.ndarray) -> None:
serde = JsonPlusSerializer()
dumped = serde.dumps_typed(arr)
assert dumped[0] == "msgpack"
result = serde.loads_typed(dumped)
assert isinstance(result, np.ndarray)
assert result.dtype == arr.dtype
assert np.array_equal(result, arr)
@pytest.mark.parametrize(
"arr",
[
np.arange(6, dtype=np.float32).reshape(2, 3),
np.asfortranarray(np.arange(4, dtype=np.complex128).reshape(2, 2)),
],
)
def test_serde_jsonplus_numpy_array_json_hook(arr: np.ndarray) -> None:
serde = JsonPlusSerializer(__unpack_ext_hook__=_msgpack_ext_hook_to_json)
dumped = serde.dumps_typed(arr)
assert dumped[0] == "msgpack"
result = serde.loads_typed(dumped)
assert isinstance(result, list)
assert result == arr.tolist()
@pytest.mark.parametrize(
"df",
[
pd.DataFrame(),
pd.DataFrame({"int_col": [1, 2, 3]}),
pd.DataFrame({"float_col": [1.1, 2.2, 3.3]}),
pd.DataFrame({"str_col": ["a", "b", "c"]}),
pd.DataFrame({"bool_col": [True, False, True]}),
pd.DataFrame(
{
"datetime_col": [
datetime(2024, 1, 1),
datetime(2024, 1, 2),
datetime(2024, 1, 3),
]
}
),
pd.DataFrame(
{
"int_col": [1, 2, 3],
"float_col": [1.1, 2.2, 3.3],
"str_col": ["a", "b", "c"],
}
),
pd.DataFrame(
{
"int_col": [1, 2, None],
"float_col": [1.1, None, 3.3],
"str_col": ["a", None, "c"],
}
),
pd.DataFrame({"cat_col": pd.Categorical(["a", "b", "a", "c"])}),
pd.DataFrame(
{
"int8": pd.array([1, 2, 3], dtype="int8"),
"int16": pd.array([10, 20, 30], dtype="int16"),
"int32": pd.array([100, 200, 300], dtype="int32"),
"int64": pd.array([1000, 2000, 3000], dtype="int64"),
"float32": pd.array([1.1, 2.2, 3.3], dtype="float32"),
"float64": pd.array([10.1, 20.2, 30.3], dtype="float64"),
}
),
pd.DataFrame({"value": [1, 2, 3]}, index=["x", "y", "z"]),
pd.DataFrame(
[[1, 2, 3, 4]],
columns=pd.MultiIndex.from_tuples(
[("A", "X"), ("A", "Y"), ("B", "X"), ("B", "Y")]
),
),
pd.DataFrame(
{"value": [1, 2, 3]}, index=pd.date_range("2024-01-01", periods=3, freq="D")
),
pd.DataFrame(
{
"col1": range(1000),
"col2": [f"str_{i}" for i in range(1000)],
"col3": np.random.rand(1000),
}
),
pd.DataFrame(
{"tz_datetime": pd.date_range("2024-01-01", periods=3, freq="D", tz="UTC")}
),
pd.DataFrame({"timedelta": pd.to_timedelta([1, 2, 3], unit="D")}),
pd.DataFrame({"period": pd.period_range("2024-01", periods=3, freq="M")}),
pd.DataFrame({"interval": pd.interval_range(start=0, end=3, periods=3)}),
pd.DataFrame({"unicode": ["Hello 🌍", "Python 🐍", "Data 📊"]}),
pd.DataFrame({"mixed": [1, "string", [1, 2, 3], {"key": "value"}]}),
pd.DataFrame({"a": [1], "b": ["test"], "c": [3.14]}),
pd.DataFrame({"single": [42]}),
pd.DataFrame(
{
"small": [sys.float_info.min, 0, sys.float_info.max],
"large_int": [-(2**63), 0, 2**63 - 1],
}
),
pd.DataFrame({"special_strings": ["", "null", "None", "NaN", "inf", "-inf"]}),
pd.DataFrame({"bytes_col": [b"hello", b"world", b"\x00\x01\x02"]}),
],
)
def test_serde_jsonplus_pandas_dataframe(df: pd.DataFrame) -> None:
serde = JsonPlusSerializer(pickle_fallback=True)
dumped = serde.dumps_typed(df)
assert dumped[0] == "pickle"
result = serde.loads_typed(dumped)
assert result.equals(df)
@pytest.mark.parametrize(
"series",
[
pd.Series([]),
pd.Series([1, 2, 3]),
pd.Series([1.1, 2.2, 3.3]),
pd.Series(["a", "b", "c"]),
pd.Series([True, False, True]),
pd.Series([datetime(2024, 1, 1), datetime(2024, 1, 2), datetime(2024, 1, 3)]),
pd.Series([1, 2, None]),
pd.Series([1.1, None, 3.3]),
pd.Series(["a", None, "c"]),
pd.Series(pd.Categorical(["a", "b", "a", "c"])),
pd.Series([1, 2, 3], dtype="int8"),
pd.Series([10, 20, 30], dtype="int16"),
pd.Series([100, 200, 300], dtype="int32"),
pd.Series([1000, 2000, 3000], dtype="int64"),
pd.Series([1.1, 2.2, 3.3], dtype="float32"),
pd.Series([10.1, 20.2, 30.3], dtype="float64"),
pd.Series([1, 2, 3], index=["x", "y", "z"]),
pd.Series([1, 2, 3], index=pd.date_range("2024-01-01", periods=3, freq="D")),
pd.Series(range(1000)),
pd.Series(pd.date_range("2024-01-01", periods=3, freq="D", tz="UTC")),
pd.Series(pd.to_timedelta([1, 2, 3], unit="D")),
pd.Series(pd.period_range("2024-01", periods=3, freq="M")),
pd.Series(pd.interval_range(start=0, end=3, periods=3)),
pd.Series(["Hello 🌍", "Python 🐍", "Data 📊"]),
pd.Series([1, "string", [1, 2, 3], {"key": "value"}]),
pd.Series([42], name="single"),
pd.Series([sys.float_info.min, 0, sys.float_info.max]),
pd.Series([-(2**63), 0, 2**63 - 1]),
pd.Series(["", "null", "None", "NaN", "inf", "-inf"]),
pd.Series([b"hello", b"world", b"\x00\x01\x02"]),
pd.Series([1, 2, 3], name="named_series"),
pd.Series(
[10, 20],
index=pd.MultiIndex.from_tuples([("a", 1), ("b", 2)], names=["x", "y"]),
),
],
)
def test_serde_jsonplus_pandas_series(series: pd.Series) -> None:
serde = JsonPlusSerializer(pickle_fallback=True)
dumped = serde.dumps_typed(series)
assert dumped[0] == "pickle"
result = serde.loads_typed(dumped)
assert result.equals(series)
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