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langgraph/libs/langgraph/tests/test_pydantic.py
T
Elior Nataf LackritzandGitHub ea5f9cc9fb chore: enforce PLC0415 in tests for the remaining packages (#8547)
Follow-up to #8540, which turned on `PLC0415` (import-outside-top-level)
for checkpoint-postgres and checkpoint-sqlite. This does the remaining
six packages: checkpoint, checkpoint-conformance, langgraph, prebuilt,
cli, sdk-py.

Scoped to tests, per @sydney-runkle's call on #8540: library code is
exempted with `per-file-ignores`, since it still has deferred imports
nobody has reviewed and mixing that in would make this hard to read.

## What changed

Function-level imports across 56 test files moved to module level. Nine
could not move and carry an explicit `# noqa: PLC0415` with a reason:

| File | Why it stays local |
|---|---|
| `libs/langgraph/tests/test_deprecation.py` (4) | the import has to run
inside `pytest.warns` for the warning to be observed |
| `libs/langgraph/tests/test_serde_allowlist.py` | try/except guard,
skips when langchain_core is absent |
| `libs/langgraph/tests/test_delta_channel_benchmark.py` | optional
psycopg probe |
| `libs/checkpoint/tests/test_conformance_delta.py` (3) | protected by a
module-level `pytest.importorskip`; hoisting past the guard turns a skip
into a collection error |

That last one is the trap: an import moved above `pytest.importorskip`
silently defeats the guard. I hit it locally and it turned the skip into
a `ModuleNotFoundError` at collection. Every file with an `importorskip`
or `except ImportError` was checked by hand for this.

## Verification

`make lint` and `make test` in each of the six:

| Package | Tests |
|---|---|
| checkpoint | 156 passed, 17 skipped |
| checkpoint-conformance | 1 passed |
| langgraph | 1968 passed, 4 skipped |
| prebuilt | 284 passed |
| cli | 336 passed |
| sdk-py | 493 passed |

Also confirmed the rule actually fires: a throwaway test file with a
function-level import is flagged in all six packages, and the source
exemption holds.
2026-08-07 09:40:18 -04:00

362 lines
11 KiB
Python

import datetime
import decimal
import ipaddress
import pathlib
import re
import sys
import typing
import uuid
from enum import Enum
from typing import Annotated, Literal, Optional
import pydantic
import typing_extensions
from langgraph.checkpoint.base import BaseCheckpointSaver
from pydantic import (
BaseModel,
ByteSize,
Field,
SecretStr,
confloat,
conint,
conlist,
constr,
field_validator,
model_validator,
)
from langgraph._internal._pydantic import is_supported_by_pydantic
from langgraph.constants import END, START
from langgraph.func import entrypoint, task
from langgraph.graph.state import StateGraph
from langgraph.types import Command, Interrupt, interrupt
from tests.any_str import AnyStr
def test_is_supported_by_pydantic() -> None:
"""Test if types are supported by pydantic."""
class TypedDictExtensions(typing_extensions.TypedDict):
x: int
assert is_supported_by_pydantic(TypedDictExtensions) is True
class VanillaClass:
x: int
assert is_supported_by_pydantic(VanillaClass) is False
class BuiltinTypedDict(typing.TypedDict): # noqa: TID251
x: int
if sys.version_info >= (3, 12):
assert is_supported_by_pydantic(BuiltinTypedDict) is True
else:
assert is_supported_by_pydantic(BuiltinTypedDict) is False
class PydanticModel(pydantic.BaseModel):
x: int
assert is_supported_by_pydantic(PydanticModel) is True
def test_nested_pydantic_models() -> None:
"""Test that nested Pydantic models are properly constructed from leaf nodes up."""
class NestedModel(BaseModel):
value: int
name: str
# For constrained types
PositiveInt = Annotated[int, Field(gt=0)]
NonNegativeFloat = Annotated[float, Field(ge=0)]
# Enum type
class UserRole(Enum):
ADMIN = "admin"
USER = "user"
GUEST = "guest"
# Forward reference model
class RecursiveModel(BaseModel):
value: str
child: Optional["RecursiveModel"] = None
# Discriminated union models
class Cat(BaseModel):
pet_type: Literal["cat"]
meow: str
class Dog(BaseModel):
pet_type: Literal["dog"]
bark: str
# Cyclic reference model
class Person(BaseModel):
id: str
name: str
friends: list[str] = Field(default_factory=list) # IDs of friends
conlist_type = conlist(item_type=int, min_length=2, max_length=5)
class State(BaseModel):
# Basic nested model tests
top_level: str
auuid: uuid.UUID
nested: NestedModel
optional_nested: Annotated[NestedModel | None, lambda x, y: y, "Foo"]
dict_nested: dict[str, NestedModel]
simple_str_list: list[str]
list_nested: Annotated[
dict | list[dict[str, NestedModel]], lambda x, y: (x or []) + [y]
]
tuple_nested: tuple[str, NestedModel]
tuple_list_nested: list[tuple[int, NestedModel]]
complex_tuple: tuple[str, dict[str, tuple[int, NestedModel]]]
# Forward reference test
recursive: RecursiveModel
# Discriminated union test
pet: Cat | Dog
# Cyclic reference test
people: dict[str, Person] # Map of ID -> Person
# Rich type adapters
ip_address: ipaddress.IPv4Address
ip_address_v6: ipaddress.IPv6Address
amount: decimal.Decimal
file_path: pathlib.Path
timestamp: datetime.datetime
date_only: datetime.date
time_only: datetime.time
duration: datetime.timedelta
immutable_set: frozenset[int]
binary_data: bytes
pattern: re.Pattern
secret: SecretStr
file_size: ByteSize
# Constrained types
positive_value: PositiveInt
non_negative: NonNegativeFloat
limited_string: constr(min_length=3, max_length=10)
bounded_int: conint(ge=10, le=100)
restricted_float: confloat(gt=0, lt=1)
required_list: conlist_type
# Enum & Literal
role: UserRole
status: Literal["active", "inactive", "pending"]
# Annotated & NewType
validated_age: Annotated[int, Field(gt=0, lt=120)]
# Generic containers with validators
decimal_list: list[decimal.Decimal]
id_tuple: tuple[uuid.UUID, uuid.UUID]
inputs = {
# Basic nested models
"top_level": "initial",
"auuid": str(uuid.uuid4()),
"nested": {"value": 42, "name": "test"},
"optional_nested": {"value": 10, "name": "optional"},
"dict_nested": {"a": {"value": 5, "name": "a"}},
"list_nested": [{"a": {"value": 6, "name": "b"}}],
"tuple_nested": ["tuple-key", {"value": 7, "name": "tuple-value"}],
"tuple_list_nested": [[1, {"value": 8, "name": "tuple-in-list"}]],
"simple_str_list": ["siss", "boom", "bah"],
"complex_tuple": [
"complex",
{"nested": [9, {"value": 10, "name": "deep"}]},
],
# Forward reference
"recursive": {"value": "parent", "child": {"value": "child", "child": None}},
# Discriminated union (using a cat in this case)
"pet": {"pet_type": "cat", "meow": "meow!"},
# Cyclic references
"people": {
"1": {
"id": "1",
"name": "Alice",
"friends": ["2", "3"], # Alice is friends with Bob and Charlie
},
"2": {
"id": "2",
"name": "Bob",
"friends": ["1"], # Bob is friends with Alice
},
"3": {
"id": "3",
"name": "Charlie",
"friends": ["1", "2"], # Charlie is friends with Alice and Bob
},
},
# Rich type adapters
"ip_address": "192.168.1.1",
"ip_address_v6": "2001:db8::1",
"amount": "123.45",
"file_path": "/tmp/test.txt",
"timestamp": "2025-04-07T10:58:04",
"date_only": "2025-04-07",
"time_only": "10:58:04",
"duration": 3600, # seconds
"immutable_set": [1, 2, 3, 4],
"binary_data": b"hello world",
"pattern": "^test$",
"secret": "password123",
"file_size": 1024,
# Constrained types
"positive_value": 42,
"non_negative": 0.0,
"limited_string": "test",
"bounded_int": 50,
"restricted_float": 0.5,
"required_list": [10, 20, 30],
# Enum & Literal
"role": "admin",
"status": "active",
# Annotated & NewType
"validated_age": 30,
# Generic containers with validators
"decimal_list": ["10.5", "20.75", "30.25"],
"id_tuple": [str(uuid.uuid4()), str(uuid.uuid4())],
}
update = {"top_level": "updated", "nested": {"value": 100, "name": "updated"}}
expected = State(**inputs)
def node_fn(state: State) -> dict:
# Basic assertions
assert isinstance(state.auuid, uuid.UUID)
assert state == expected
# Rich type assertions
assert isinstance(state.ip_address, ipaddress.IPv4Address)
assert isinstance(state.ip_address_v6, ipaddress.IPv6Address)
assert isinstance(state.amount, decimal.Decimal)
assert isinstance(state.file_path, pathlib.Path)
assert isinstance(state.timestamp, datetime.datetime)
assert isinstance(state.date_only, datetime.date)
assert isinstance(state.time_only, datetime.time)
assert isinstance(state.duration, datetime.timedelta)
assert isinstance(state.immutable_set, frozenset)
assert isinstance(state.binary_data, bytes)
assert isinstance(state.pattern, re.Pattern)
# Constrained types
assert state.positive_value > 0
assert state.non_negative >= 0
assert 3 <= len(state.limited_string) <= 10
assert 10 <= state.bounded_int <= 100
assert 0 < state.restricted_float < 1
assert 2 <= len(state.required_list) <= 5
# Enum & Literal
assert state.role == UserRole.ADMIN
assert state.status == "active"
# Annotated
assert 0 < state.validated_age < 120
# Generic containers
assert len(state.decimal_list) == 3
assert len(state.id_tuple) == 2
return update
builder = StateGraph(State)
builder.add_node("process", node_fn)
builder.set_entry_point("process")
builder.set_finish_point("process")
graph = builder.compile()
result = graph.invoke(inputs.copy())
assert result == {**inputs, **update}
new_inputs = inputs.copy()
new_inputs["list_nested"] = {"foo": "bar"}
expected = State(**new_inputs)
assert {**new_inputs, **update} == graph.invoke(new_inputs.copy())
def test_pydantic_state_field_validator():
class State(BaseModel):
name: str
text: str = ""
only_root: int = 13
@field_validator("name", mode="after")
@classmethod
def validate_name(cls, value):
if value[0].islower():
raise ValueError("Name must start with a capital letter")
return "Validated " + value
@model_validator(mode="before")
@classmethod
def validate_amodel(cls, values: "State"):
return values | {"only_root": 392}
input_state = {"name": "John"}
def process_node(state: State):
assert State.model_validate(input_state) == state
return {"text": "Hello, " + state.name + "!"}
builder = StateGraph(state_schema=State)
builder.add_node("process", process_node)
builder.add_edge(START, "process")
builder.add_edge("process", END)
g = builder.compile()
res = g.invoke(input_state)
assert res["text"] == "Hello, Validated John!"
class FunctionalState(BaseModel):
a: str
b: str | None = None
def test_interrupt_functional_pydantic(sync_checkpointer: BaseCheckpointSaver) -> None:
called_count = 0
@task
def foo(state: FunctionalState) -> FunctionalState:
nonlocal called_count
called_count += 1
return FunctionalState(**{"a": state.a + "foo"})
@task
def bar(state: FunctionalState) -> dict:
return {"a": state.a + "bar", "b": state.b}
@entrypoint(checkpointer=sync_checkpointer)
def graph(inputs: FunctionalState) -> FunctionalState:
fut_foo = foo(inputs)
value = interrupt("Provide value for bar:")
foo_res = fut_foo.result()
assert isinstance(foo_res, FunctionalState)
bar_input = FunctionalState(a=foo_res.a, b=value)
fut_bar = bar(bar_input)
return fut_bar.result()
config = {"configurable": {"thread_id": "1"}}
# First run, interrupted at bar
assert graph.invoke(FunctionalState(a=""), config) == {
"__interrupt__": [
Interrupt(
value="Provide value for bar:",
id=AnyStr(),
)
]
}
# Resume with an answer
res = graph.invoke(Command(resume="bar"), config)
assert res == {"a": "foobar", "b": "bar"}
assert called_count == 1