mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-17 21:25:46 +02:00
Replace hardcoded database saver class names with `cls` in `from_conn_string` factory methods to improve subclassing support ## Changes * Replaced direct class instantiations with `cls(conn)` in `from_conn_string` classmethods across all database implementations * Updated both synchronous and asynchronous variants for DuckDB, PostgreSQL, and SQLite savers ## Why This refactor makes the database saver classes more extensible by following Python's convention of using `cls` in class methods. This enables proper inheritance patterns where subclasses can reuse the factory methods without needing to override them. Previously, the hardcoded class names would always instantiate the parent class, even when called from a subclass. ## Testing The change is backward compatible and doesn't alter existing functionality. All existing tests should continue to pass as this is purely a structural refactoring that preserves the current behavior while improving extensibility. ## Notes This PR addresses follow up on comments from #2518 - AsyncPostgresSaver didn't need to be fixed but many of the other DB saver classes did.
LangGraph SQLite Checkpoint
Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via aiosqlite)
Usage
from langgraph.checkpoint.sqlite import SqliteSaver
write_config = {"configurable": {"thread_id": "1", "checkpoint_ns": ""}}
read_config = {"configurable": {"thread_id": "1"}}
with SqliteSaver.from_conn_string(":memory:") as checkpointer:
checkpoint = {
"v": 1,
"ts": "2024-07-31T20:14:19.804150+00:00",
"id": "1ef4f797-8335-6428-8001-8a1503f9b875",
"channel_values": {
"my_key": "meow",
"node": "node"
},
"channel_versions": {
"__start__": 2,
"my_key": 3,
"start:node": 3,
"node": 3
},
"versions_seen": {
"__input__": {},
"__start__": {
"__start__": 1
},
"node": {
"start:node": 2
}
},
"pending_sends": [],
}
# store checkpoint
checkpointer.put(write_config, checkpoint, {}, {})
# load checkpoint
checkpointer.get(read_config)
# list checkpoints
list(checkpointer.list(read_config))
Async
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
async with AsyncSqliteSaver.from_conn_string(":memory:") as checkpointer:
checkpoint = {
"v": 1,
"ts": "2024-07-31T20:14:19.804150+00:00",
"id": "1ef4f797-8335-6428-8001-8a1503f9b875",
"channel_values": {
"my_key": "meow",
"node": "node"
},
"channel_versions": {
"__start__": 2,
"my_key": 3,
"start:node": 3,
"node": 3
},
"versions_seen": {
"__input__": {},
"__start__": {
"__start__": 1
},
"node": {
"start:node": 2
}
},
"pending_sends": [],
}
# store checkpoint
await checkpointer.aput(write_config, checkpoint, {}, {})
# load checkpoint
await checkpointer.aget(read_config)
# list checkpoints
[c async for c in checkpointer.alist(read_config)]