mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-21 07:02:25 +02:00
Nuno Campos
52b2c755d7
- this avoids conflicts if multiple processes creating checkpoints in same thread at same time - uuid6 with a monotically increasing clock_seq is sortable by creation time at ms precision (plus clock_seq for ties, plus 48 bits of randomness for further ties)
97 lines
3.6 KiB
Python
97 lines
3.6 KiB
Python
import pytest
|
|
from langchain_core.runnables import RunnableConfig
|
|
|
|
from langgraph.channels.base import create_checkpoint
|
|
from langgraph.checkpoint.base import Checkpoint, CheckpointMetadata, empty_checkpoint
|
|
from langgraph.checkpoint.memory import MemorySaver
|
|
|
|
|
|
class TestMemorySaver:
|
|
@pytest.fixture(autouse=True)
|
|
def setup(self):
|
|
self.memory_saver = MemorySaver()
|
|
|
|
# objects for test setup
|
|
self.config_1: RunnableConfig = {
|
|
"configurable": {"thread_id": "thread-1", "thread_ts": "1"}
|
|
}
|
|
self.config_2: RunnableConfig = {
|
|
"configurable": {"thread_id": "thread-2", "thread_ts": "2"}
|
|
}
|
|
|
|
self.chkpnt_1: Checkpoint = empty_checkpoint()
|
|
self.chkpnt_2: Checkpoint = create_checkpoint(self.chkpnt_1, {}, 1)
|
|
|
|
self.metadata_1: CheckpointMetadata = {
|
|
"source": "input",
|
|
"step": 2,
|
|
"writes": {},
|
|
"score": 1,
|
|
}
|
|
self.metadata_2: CheckpointMetadata = {
|
|
"source": "loop",
|
|
"step": 1,
|
|
"writes": {"foo": "bar"},
|
|
"score": None,
|
|
}
|
|
|
|
async def test_search(self):
|
|
# set up test
|
|
# save checkpoints
|
|
self.memory_saver.put(self.config_1, self.chkpnt_1, self.metadata_1)
|
|
self.memory_saver.put(self.config_2, self.chkpnt_2, self.metadata_2)
|
|
|
|
# call method / assertions
|
|
query_1: CheckpointMetadata = {"source": "input"} # search by 1 key
|
|
query_2: CheckpointMetadata = {
|
|
"step": 1,
|
|
"writes": {"foo": "bar"},
|
|
} # search by multiple keys
|
|
query_3: CheckpointMetadata = {} # search by no keys, return all checkpoints
|
|
query_4: CheckpointMetadata = {"source": "update", "step": 1} # no match
|
|
|
|
search_results_1 = list(self.memory_saver.search(query_1))
|
|
assert len(search_results_1) == 1
|
|
assert search_results_1[0].metadata == self.metadata_1
|
|
|
|
search_results_2 = list(self.memory_saver.search(query_2))
|
|
assert len(search_results_2) == 1
|
|
assert search_results_2[0].metadata == self.metadata_2
|
|
|
|
search_results_3 = list(self.memory_saver.search(query_3))
|
|
assert len(search_results_3) == 2
|
|
|
|
search_results_4 = list(self.memory_saver.search(query_4))
|
|
assert len(search_results_4) == 0
|
|
|
|
# TODO: test before and limit params
|
|
|
|
async def test_asearch(self):
|
|
# set up test
|
|
# save checkpoints
|
|
self.memory_saver.put(self.config_1, self.chkpnt_1, self.metadata_1)
|
|
self.memory_saver.put(self.config_2, self.chkpnt_2, self.metadata_2)
|
|
|
|
# call method / assertions
|
|
query_1: CheckpointMetadata = {"source": "input"} # search by 1 key
|
|
query_2: CheckpointMetadata = {
|
|
"step": 1,
|
|
"writes": {"foo": "bar"},
|
|
} # search by multiple keys
|
|
query_3: CheckpointMetadata = {} # search by no keys, return all checkpoints
|
|
query_4: CheckpointMetadata = {"source": "update", "step": 1} # no match
|
|
|
|
search_results_1 = [c async for c in self.memory_saver.asearch(query_1)]
|
|
assert len(search_results_1) == 1
|
|
assert search_results_1[0].metadata == self.metadata_1
|
|
|
|
search_results_2 = [c async for c in self.memory_saver.asearch(query_2)]
|
|
assert len(search_results_2) == 1
|
|
assert search_results_2[0].metadata == self.metadata_2
|
|
|
|
search_results_3 = [c async for c in self.memory_saver.asearch(query_3)]
|
|
assert len(search_results_3) == 2
|
|
|
|
search_results_4 = [c async for c in self.memory_saver.asearch(query_4)]
|
|
assert len(search_results_4) == 0
|