mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-21 15:12:26 +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)
101 lines
4.2 KiB
Python
101 lines
4.2 KiB
Python
import pytest
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from langchain_core.runnables import RunnableConfig
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from langgraph.channels.base import create_checkpoint
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from langgraph.checkpoint.base import Checkpoint, CheckpointMetadata, empty_checkpoint
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from langgraph.checkpoint.sqlite import SqliteSaver, _metadata_predicate, search_where
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class TestSqliteSaver:
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@pytest.fixture(autouse=True)
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def setup(self):
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self.sqlite_saver = SqliteSaver.from_conn_string(":memory:")
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# objects for test setup
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self.config_1: RunnableConfig = {
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"configurable": {"thread_id": "thread-1", "thread_ts": "1"}
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}
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self.config_2: RunnableConfig = {
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"configurable": {"thread_id": "thread-2", "thread_ts": "2"}
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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.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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def test_search(self):
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# set up test
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# save checkpoints
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self.sqlite_saver.put(self.config_1, self.chkpnt_1, self.metadata_1)
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self.sqlite_saver.put(self.config_2, self.chkpnt_2, self.metadata_2)
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# call method / assertions
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query_1: CheckpointMetadata = {"source": "input"} # search by 1 key
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query_2: CheckpointMetadata = {
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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: CheckpointMetadata = {} # search by no keys, return all checkpoints
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query_4: CheckpointMetadata = {"source": "update", "step": 1} # no match
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search_results_1 = list(self.sqlite_saver.search(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 = list(self.sqlite_saver.search(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 = list(self.sqlite_saver.search(query_3))
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assert len(search_results_3) == 2
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search_results_4 = list(self.sqlite_saver.search(query_4))
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assert len(search_results_4) == 0
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# TODO: test before and limit params
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def test_search_where(self):
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# call method / assertions
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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 thread_ts < ? "
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expected_param_values_1 = ("input", 2, "{}", 1, "1")
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assert search_where(self.metadata_1, self.config_1) == (
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expected_predicate_1,
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expected_param_values_1,
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)
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def test_metadata_predicate(self):
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# call method / assertions
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expected_predicate_1 = "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') = ? "
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expected_predicate_2 = "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') IS ? "
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expected_predicate_3 = ""
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expected_param_values_1 = ("input", 2, "{}", 1)
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expected_param_values_2 = ("loop", 1, '{"foo":"bar"}', None)
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expected_param_values_3 = ()
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assert _metadata_predicate(self.metadata_1) == (
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expected_predicate_1,
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expected_param_values_1,
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)
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assert _metadata_predicate(self.metadata_2) == (
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expected_predicate_2,
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expected_param_values_2,
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)
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assert _metadata_predicate(self.metadata_3) == (
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expected_predicate_3,
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expected_param_values_3,
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)
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