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langgraph/libs/checkpoint-sqlite/tests/test_sqlite.py
T
Vadym BardaandGitHub c149a99b44 checkpoint-sqlite: new library for sqlite checkpointer implementation (#1203)
* checkpoint-sqlite: new library for sqlite checkpointer implementation
2024-08-02 22:14:12 +00:00

167 lines
6.3 KiB
Python

import pytest
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
Checkpoint,
CheckpointMetadata,
create_checkpoint,
empty_checkpoint,
)
from langgraph.checkpoint.sqlite import SqliteSaver
from langgraph.checkpoint.sqlite.utils import _metadata_predicate, search_where
class TestSqliteSaver:
@pytest.fixture(autouse=True)
def setup(self):
# objects for test setup
self.config_1: RunnableConfig = {
"configurable": {
"thread_id": "thread-1",
# for backwards compatibility testing
"thread_ts": "1",
"checkpoint_ns": "",
}
}
self.config_2: RunnableConfig = {
"configurable": {
"thread_id": "thread-2",
"checkpoint_id": "2",
"checkpoint_ns": "",
}
}
self.config_3: RunnableConfig = {
"configurable": {
"thread_id": "thread-2",
"checkpoint_id": "2-inner",
"checkpoint_ns": "inner",
}
}
self.chkpnt_1: Checkpoint = empty_checkpoint()
self.chkpnt_2: Checkpoint = create_checkpoint(self.chkpnt_1, {}, 1)
self.chkpnt_3: Checkpoint = empty_checkpoint()
self.metadata_1: CheckpointMetadata = {
"source": "input",
"step": 2,
"writes": {},
"score": 1,
}
self.metadata_2: CheckpointMetadata = {
"source": "loop",
"step": 1,
"writes": {"foo": "bar"},
"score": None,
}
self.metadata_3: CheckpointMetadata = {}
def test_search(self):
with SqliteSaver.from_conn_string(":memory:") as saver:
# set up test
# save checkpoints
saver.put(self.config_1, self.chkpnt_1, self.metadata_1)
saver.put(self.config_2, self.chkpnt_2, self.metadata_2)
saver.put(self.config_3, self.chkpnt_3, self.metadata_3)
# 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(saver.list(None, filter=query_1))
assert len(search_results_1) == 1
assert search_results_1[0].metadata == self.metadata_1
search_results_2 = list(saver.list(None, filter=query_2))
assert len(search_results_2) == 1
assert search_results_2[0].metadata == self.metadata_2
search_results_3 = list(saver.list(None, filter=query_3))
assert len(search_results_3) == 3
search_results_4 = list(saver.list(None, filter=query_4))
assert len(search_results_4) == 0
# search by config (defaults to root graph checkpoints)
search_results_5 = list(
saver.list({"configurable": {"thread_id": "thread-2"}})
)
assert len(search_results_5) == 1
assert search_results_5[0].config["configurable"]["checkpoint_ns"] == ""
# search by config and checkpoint_ns
search_results_6 = list(
saver.list(
{
"configurable": {
"thread_id": "thread-2",
"checkpoint_ns": "inner",
}
}
)
)
assert len(search_results_6) == 1
assert (
search_results_6[0].config["configurable"]["checkpoint_ns"] == "inner"
)
# TODO: test before and limit params
def test_search_where(self):
# call method / assertions
expected_predicate_1 = "WHERE json_extract(CAST(metadata AS TEXT), '$.source') = ? AND json_extract(CAST(metadata AS TEXT), '$.step') = ? AND json_extract(CAST(metadata AS TEXT), '$.writes') = ? AND json_extract(CAST(metadata AS TEXT), '$.score') = ? AND checkpoint_id < ?"
expected_param_values_1 = ["input", 2, "{}", 1, "1"]
assert search_where(None, self.metadata_1, self.config_1) == (
expected_predicate_1,
expected_param_values_1,
)
def test_metadata_predicate(self):
# call method / assertions
expected_predicate_1 = [
"json_extract(CAST(metadata AS TEXT), '$.source') = ?",
"json_extract(CAST(metadata AS TEXT), '$.step') = ?",
"json_extract(CAST(metadata AS TEXT), '$.writes') = ?",
"json_extract(CAST(metadata AS TEXT), '$.score') = ?",
]
expected_predicate_2 = [
"json_extract(CAST(metadata AS TEXT), '$.source') = ?",
"json_extract(CAST(metadata AS TEXT), '$.step') = ?",
"json_extract(CAST(metadata AS TEXT), '$.writes') = ?",
"json_extract(CAST(metadata AS TEXT), '$.score') IS ?",
]
expected_predicate_3 = []
expected_param_values_1 = ["input", 2, "{}", 1]
expected_param_values_2 = ["loop", 1, '{"foo":"bar"}', None]
expected_param_values_3 = []
assert _metadata_predicate(self.metadata_1) == (
expected_predicate_1,
expected_param_values_1,
)
assert _metadata_predicate(self.metadata_2) == (
expected_predicate_2,
expected_param_values_2,
)
assert _metadata_predicate(self.metadata_3) == (
expected_predicate_3,
expected_param_values_3,
)
async def test_informative_async_errors(self):
with SqliteSaver.from_conn_string(":memory:") as saver:
# call method / assertions
with pytest.raises(NotImplementedError, match="AsyncSqliteSaver"):
await saver.aget(self.config_1)
with pytest.raises(NotImplementedError, match="AsyncSqliteSaver"):
await saver.aget_tuple(self.config_1)
with pytest.raises(NotImplementedError, match="AsyncSqliteSaver"):
async for _ in saver.alist(self.config_1):
pass