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https://github.com/langchain-ai/langgraph.git
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8b55dff7a5
This PR updates the dependencies in all Python packages using `uv lock --upgrade`. This is an automated PR created by the UV Lock Upgrade workflow. To make tests pass: * linting fixes * whitespace fixes in snapshots --------- Co-authored-by: sydney-runkle <54324534+sydney-runkle@users.noreply.github.com> Co-authored-by: Sydney Runkle <sydneymarierunkle@gmail.com>
117 lines
4.2 KiB
Python
117 lines
4.2 KiB
Python
from typing import Any
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import pytest
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from langchain_core.runnables import RunnableConfig
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from langgraph.checkpoint.base import (
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Checkpoint,
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CheckpointMetadata,
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create_checkpoint,
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empty_checkpoint,
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)
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from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
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class TestAsyncSqliteSaver:
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@pytest.fixture(autouse=True)
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def setup(self) -> None:
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# objects for test setup
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self.config_1: RunnableConfig = {
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"configurable": {
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"thread_id": "thread-1",
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"checkpoint_id": "1",
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"checkpoint_ns": "",
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}
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}
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self.config_2: RunnableConfig = {
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"configurable": {
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"thread_id": "thread-2",
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"checkpoint_id": "2",
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"checkpoint_ns": "",
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}
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}
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self.config_3: RunnableConfig = {
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"configurable": {
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"thread_id": "thread-2",
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"checkpoint_id": "2-inner",
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"checkpoint_ns": "inner",
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}
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}
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self.chkpnt_1: Checkpoint = empty_checkpoint()
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self.chkpnt_2: Checkpoint = create_checkpoint(self.chkpnt_1, {}, 1)
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self.chkpnt_3: Checkpoint = empty_checkpoint()
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self.metadata_1: CheckpointMetadata = {
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"source": "input",
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"step": 2,
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"writes": {},
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"score": 1,
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}
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self.metadata_2: CheckpointMetadata = {
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"source": "loop",
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"step": 1,
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"writes": {"foo": "bar"},
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"score": None,
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}
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self.metadata_3: CheckpointMetadata = {}
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async def test_combined_metadata(self) -> None:
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async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
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config: RunnableConfig = {
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"configurable": {
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"thread_id": "thread-2",
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"checkpoint_ns": "",
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"__super_private_key": "super_private_value",
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},
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"metadata": {"run_id": "my_run_id"},
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}
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await saver.aput(config, self.chkpnt_2, self.metadata_2, {})
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checkpoint = await saver.aget_tuple(config)
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assert checkpoint is not None and checkpoint.metadata == {
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**self.metadata_2,
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"run_id": "my_run_id",
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}
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async def test_asearch(self) -> None:
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async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
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await saver.aput(self.config_1, self.chkpnt_1, self.metadata_1, {})
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await saver.aput(self.config_2, self.chkpnt_2, self.metadata_2, {})
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await saver.aput(self.config_3, self.chkpnt_3, self.metadata_3, {})
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# call method / assertions
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query_1 = {"source": "input"} # search by 1 key
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query_2 = {
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"step": 1,
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"writes": {"foo": "bar"},
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} # search by multiple keys
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query_3: dict[str, Any] = {} # search by no keys, return all checkpoints
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query_4 = {"source": "update", "step": 1} # no match
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search_results_1 = [c async for c in saver.alist(None, filter=query_1)]
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assert len(search_results_1) == 1
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assert search_results_1[0].metadata == self.metadata_1
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search_results_2 = [c async for c in saver.alist(None, filter=query_2)]
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assert len(search_results_2) == 1
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assert search_results_2[0].metadata == self.metadata_2
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search_results_3 = [c async for c in saver.alist(None, filter=query_3)]
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assert len(search_results_3) == 3
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search_results_4 = [c async for c in saver.alist(None, filter=query_4)]
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assert len(search_results_4) == 0
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# search by config (defaults to checkpoints across all namespaces)
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search_results_5 = [
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c
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async for c in saver.alist({"configurable": {"thread_id": "thread-2"}})
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]
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assert len(search_results_5) == 2
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assert {
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search_results_5[0].config["configurable"]["checkpoint_ns"],
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search_results_5[1].config["configurable"]["checkpoint_ns"],
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} == {"", "inner"}
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# TODO: test before and limit params
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