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chore: import upstream snapshot with attribution
2026-07-13 12:37:18 +08:00

418 lines
14 KiB
Python

# type: ignore
from contextlib import asynccontextmanager
from typing import Any
from uuid import uuid4
import pytest
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
EXCLUDED_METADATA_KEYS,
Checkpoint,
CheckpointMetadata,
create_checkpoint,
empty_checkpoint,
)
from langgraph.checkpoint.serde.types import TASKS
from psycopg import AsyncConnection
from psycopg.rows import dict_row
from psycopg_pool import AsyncConnectionPool
from langgraph.checkpoint.postgres.aio import (
AsyncPostgresSaver,
AsyncShallowPostgresSaver,
)
from tests.conftest import DEFAULT_POSTGRES_URI
def _exclude_keys(config: dict[str, Any]) -> dict[str, Any]:
return {k: v for k, v in config.items() if k not in EXCLUDED_METADATA_KEYS}
@asynccontextmanager
async def _pool_saver():
"""Fixture for pool mode testing."""
database = f"test_{uuid4().hex[:16]}"
# create unique db
async with await AsyncConnection.connect(
DEFAULT_POSTGRES_URI, autocommit=True
) as conn:
await conn.execute(f"CREATE DATABASE {database}")
try:
# yield checkpointer
async with AsyncConnectionPool(
DEFAULT_POSTGRES_URI + database,
max_size=10,
kwargs={"autocommit": True, "row_factory": dict_row},
) as pool:
checkpointer = AsyncPostgresSaver(pool)
await checkpointer.setup()
yield checkpointer
finally:
# drop unique db
async with await AsyncConnection.connect(
DEFAULT_POSTGRES_URI, autocommit=True
) as conn:
await conn.execute(f"DROP DATABASE {database}")
@asynccontextmanager
async def _pipe_saver():
"""Fixture for pipeline mode testing."""
database = f"test_{uuid4().hex[:16]}"
# create unique db
async with await AsyncConnection.connect(
DEFAULT_POSTGRES_URI, autocommit=True
) as conn:
await conn.execute(f"CREATE DATABASE {database}")
try:
async with await AsyncConnection.connect(
DEFAULT_POSTGRES_URI + database,
autocommit=True,
prepare_threshold=0,
row_factory=dict_row,
) as conn:
checkpointer = AsyncPostgresSaver(conn)
await checkpointer.setup()
async with conn.pipeline() as pipe:
checkpointer = AsyncPostgresSaver(conn, pipe=pipe)
yield checkpointer
finally:
# drop unique db
async with await AsyncConnection.connect(
DEFAULT_POSTGRES_URI, autocommit=True
) as conn:
await conn.execute(f"DROP DATABASE {database}")
@asynccontextmanager
async def _base_saver():
"""Fixture for regular connection mode testing."""
database = f"test_{uuid4().hex[:16]}"
# create unique db
async with await AsyncConnection.connect(
DEFAULT_POSTGRES_URI, autocommit=True
) as conn:
await conn.execute(f"CREATE DATABASE {database}")
try:
async with await AsyncConnection.connect(
DEFAULT_POSTGRES_URI + database,
autocommit=True,
prepare_threshold=0,
row_factory=dict_row,
) as conn:
checkpointer = AsyncPostgresSaver(conn)
await checkpointer.setup()
yield checkpointer
finally:
# drop unique db
async with await AsyncConnection.connect(
DEFAULT_POSTGRES_URI, autocommit=True
) as conn:
await conn.execute(f"DROP DATABASE {database}")
@asynccontextmanager
async def _shallow_saver():
"""Fixture for shallow connection mode testing."""
database = f"test_{uuid4().hex[:16]}"
# create unique db
async with await AsyncConnection.connect(
DEFAULT_POSTGRES_URI, autocommit=True
) as conn:
await conn.execute(f"CREATE DATABASE {database}")
try:
async with await AsyncConnection.connect(
DEFAULT_POSTGRES_URI + database,
autocommit=True,
prepare_threshold=0,
row_factory=dict_row,
) as conn:
checkpointer = AsyncShallowPostgresSaver(conn)
await checkpointer.setup()
yield checkpointer
finally:
# drop unique db
async with await AsyncConnection.connect(
DEFAULT_POSTGRES_URI, autocommit=True
) as conn:
await conn.execute(f"DROP DATABASE {database}")
@asynccontextmanager
async def _saver(name: str):
if name == "base":
async with _base_saver() as saver:
yield saver
elif name == "shallow":
async with _shallow_saver() as saver:
yield saver
elif name == "pool":
async with _pool_saver() as saver:
yield saver
elif name == "pipe":
async with _pipe_saver() as saver:
yield saver
@pytest.fixture
def test_data():
"""Fixture providing test data for checkpoint tests."""
config_1: RunnableConfig = {
"configurable": {
"thread_id": "thread-1",
"checkpoint_id": "1",
"checkpoint_ns": "",
}
}
config_2: RunnableConfig = {
"configurable": {
"thread_id": "thread-2",
"checkpoint_id": "2",
"checkpoint_ns": "",
}
}
config_3: RunnableConfig = {
"configurable": {
"thread_id": "thread-2",
"checkpoint_id": "2-inner",
"checkpoint_ns": "inner",
}
}
chkpnt_1: Checkpoint = empty_checkpoint()
chkpnt_2: Checkpoint = create_checkpoint(chkpnt_1, {}, 1)
chkpnt_3: Checkpoint = empty_checkpoint()
metadata_1: CheckpointMetadata = {
"source": "input",
"step": 2,
"score": 1,
}
metadata_2: CheckpointMetadata = {
"source": "loop",
"step": 1,
"score": None,
}
metadata_3: CheckpointMetadata = {}
return {
"configs": [config_1, config_2, config_3],
"checkpoints": [chkpnt_1, chkpnt_2, chkpnt_3],
"metadata": [metadata_1, metadata_2, metadata_3],
}
@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe", "shallow"])
async def test_combined_metadata(saver_name: str, test_data) -> None:
async with _saver(saver_name) as saver:
config = {
"configurable": {
"thread_id": "thread-2",
"checkpoint_ns": "",
"__super_private_key": "super_private_value",
},
"metadata": {"run_id": "my_run_id"},
}
chkpnt: Checkpoint = create_checkpoint(empty_checkpoint(), {}, 1)
metadata: CheckpointMetadata = {
"source": "loop",
"step": 1,
"score": None,
}
await saver.aput(config, chkpnt, metadata, {})
checkpoint = await saver.aget_tuple(config)
assert checkpoint.metadata == {
**metadata,
"run_id": "my_run_id",
}
@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe", "shallow"])
async def test_asearch(saver_name: str, test_data) -> None:
async with _saver(saver_name) as saver:
configs = test_data["configs"]
checkpoints = test_data["checkpoints"]
metadata = test_data["metadata"]
await saver.aput(configs[0], checkpoints[0], metadata[0], {})
await saver.aput(configs[1], checkpoints[1], metadata[1], {})
await saver.aput(configs[2], checkpoints[2], metadata[2], {})
# call method / assertions
query_1 = {"source": "input"} # search by 1 key
query_2 = {
"step": 1,
} # search by multiple keys
query_3: dict[str, Any] = {} # search by no keys, return all checkpoints
query_4 = {"source": "update", "step": 1} # no match
search_results_1 = [c async for c in saver.alist(None, filter=query_1)]
assert len(search_results_1) == 1
assert search_results_1[0].metadata == {
**_exclude_keys(configs[0]["configurable"]),
**metadata[0],
}
search_results_2 = [c async for c in saver.alist(None, filter=query_2)]
assert len(search_results_2) == 1
assert search_results_2[0].metadata == {
**_exclude_keys(configs[1]["configurable"]),
**metadata[1],
}
search_results_3 = [c async for c in saver.alist(None, filter=query_3)]
assert len(search_results_3) == 3
search_results_4 = [c async for c in saver.alist(None, filter=query_4)]
assert len(search_results_4) == 0
# search by config (defaults to checkpoints across all namespaces)
search_results_5 = [
c async for c in saver.alist({"configurable": {"thread_id": "thread-2"}})
]
assert len(search_results_5) == 2
assert {
search_results_5[0].config["configurable"]["checkpoint_ns"],
search_results_5[1].config["configurable"]["checkpoint_ns"],
} == {"", "inner"}
@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe", "shallow"])
async def test_null_chars(saver_name: str, test_data) -> None:
async with _saver(saver_name) as saver:
config = await saver.aput(
test_data["configs"][0],
test_data["checkpoints"][0],
{"my_key": "\x00abc"},
{},
)
assert (await saver.aget_tuple(config)).metadata["my_key"] == "abc" # type: ignore
assert [c async for c in saver.alist(None, filter={"my_key": "abc"})][
0
].metadata["my_key"] == "abc"
@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe"])
async def test_pending_sends_migration(saver_name: str) -> None:
async with _saver(saver_name) as saver:
config = {
"configurable": {
"thread_id": "thread-1",
"checkpoint_ns": "",
}
}
# create the first checkpoint
# and put some pending sends
checkpoint_0 = empty_checkpoint()
config = await saver.aput(config, checkpoint_0, {}, {})
await saver.aput_writes(
config, [(TASKS, "send-1"), (TASKS, "send-2")], task_id="task-1"
)
await saver.aput_writes(config, [(TASKS, "send-3")], task_id="task-2")
# check that fetching checkpoint_0 doesn't attach pending sends
# (they should be attached to the next checkpoint)
tuple_0 = await saver.aget_tuple(config)
assert tuple_0.checkpoint["channel_values"] == {}
assert tuple_0.checkpoint["channel_versions"] == {}
# create the second checkpoint
checkpoint_1 = create_checkpoint(checkpoint_0, {}, 1)
config = await saver.aput(config, checkpoint_1, {}, {})
# check that pending sends are attached to checkpoint_1
tuple_1 = await saver.aget_tuple(config)
assert tuple_1.checkpoint["channel_values"] == {
TASKS: ["send-1", "send-2", "send-3"]
}
assert TASKS in tuple_1.checkpoint["channel_versions"]
# check that list also applies the migration
search_results = [
c async for c in saver.alist({"configurable": {"thread_id": "thread-1"}})
]
assert len(search_results) == 2
assert search_results[-1].checkpoint["channel_values"] == {}
assert search_results[-1].checkpoint["channel_versions"] == {}
assert search_results[0].checkpoint["channel_values"] == {
TASKS: ["send-1", "send-2", "send-3"]
}
assert TASKS in search_results[0].checkpoint["channel_versions"]
@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe"])
async def test_get_checkpoint_no_channel_values(
monkeypatch, saver_name: str, test_data
) -> None:
"""Backwards compatibility test that verifies a checkpoint with no channel_values key can be retrieved without throwing an error."""
async with _saver(saver_name) as saver:
config = {
"configurable": {
"thread_id": "thread-2",
"checkpoint_ns": "",
"__super_private_key": "super_private_value",
},
"metadata": {"run_id": "my_run_id"},
}
chkpnt: Checkpoint = create_checkpoint(empty_checkpoint(), {}, 1)
await saver.aput(config, chkpnt, {}, {})
load_checkpoint_tuple = saver._load_checkpoint_tuple
async def patched_load_checkpoint_tuple(value):
value["checkpoint"].pop("channel_values", None)
return await load_checkpoint_tuple(value)
monkeypatch.setattr(
saver, "_load_checkpoint_tuple", patched_load_checkpoint_tuple
)
checkpoint = await saver.aget_tuple(config)
assert checkpoint.checkpoint["channel_values"] == {}
@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe"])
async def test_delta_channel_chain_reconstruction(saver_name: str) -> None:
"""AsyncPostgresSaver reconstructs DeltaChannel chain via point-lookup traversal."""
pytest.importorskip(
"langgraph.channels.delta", reason="langgraph core not installed"
)
from typing import Annotated
from langchain_core.messages import AIMessage, HumanMessage
from langgraph.channels.delta import DeltaChannel
from langgraph.graph import START, StateGraph
from langgraph.graph.message import _messages_delta_reducer
from typing_extensions import TypedDict
class State(TypedDict):
messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
def respond(state: State) -> dict:
n = len(state["messages"])
return {"messages": [AIMessage(content=f"reply-{n}", id=f"ai-{n}")]}
builder = StateGraph(State)
builder.add_node("respond", respond)
builder.add_edge(START, "respond")
async with _saver(saver_name) as saver:
graph = builder.compile(checkpointer=saver)
config = {"configurable": {"thread_id": "diff-channel-test-1"}}
await graph.ainvoke({"messages": [HumanMessage(content="hi", id="h1")]}, config)
await graph.ainvoke(
{"messages": [HumanMessage(content="there", id="h2")]}, config
)
state = await graph.aget_state(config)
msgs = state.values["messages"]
assert len(msgs) == 4, f"expected 4, got {len(msgs)}: {msgs}"
assert msgs[0].content == "hi"
assert msgs[1].content == "reply-1"
assert msgs[2].content == "there"
assert msgs[3].content == "reply-3"