checkpoint-sqlite: new library for sqlite checkpointer implementation (#1203)

* checkpoint-sqlite: new library for sqlite checkpointer implementation
This commit is contained in:
Vadym Barda
2024-08-02 22:14:12 +00:00
committed by GitHub
parent 16a6450534
commit c149a99b44
20 changed files with 1158 additions and 114 deletions
@@ -0,0 +1,510 @@
import sqlite3
import threading
from contextlib import AbstractContextManager, contextmanager
from hashlib import md5
from types import TracebackType
from typing import Any, AsyncIterator, Dict, Iterator, Optional, Sequence, Tuple
from langchain_core.runnables import RunnableConfig
from typing_extensions import Self
from langgraph.checkpoint.base import (
BaseCheckpointSaver,
Checkpoint,
CheckpointMetadata,
CheckpointTuple,
EmptyChannelError,
SerializerProtocol,
get_checkpoint_id,
)
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
from langgraph.checkpoint.serde.types import ChannelProtocol
from langgraph.checkpoint.sqlite.utils import search_where
_AIO_ERROR_MSG = (
"The SqliteSaver does not support async methods. "
"Consider using AsyncSqliteSaver instead.\n"
"from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver\n"
"Note: AsyncSqliteSaver requires the aiosqlite package to use.\n"
"Install with:\n`pip install aiosqlite`\n"
"See https://langchain-ai.github.io/langgraph/reference/checkpoints/asyncsqlitesaver"
"for more information."
)
class SqliteSaver(BaseCheckpointSaver, AbstractContextManager):
"""A checkpoint saver that stores checkpoints in a SQLite database.
Note:
This class is meant for lightweight, synchronous use cases
(demos and small projects) and does not
scale to multiple threads.
For a similar sqlite saver with `async` support,
consider using [AsyncSqliteSaver][asyncsqlitesaver].
Args:
conn (sqlite3.Connection): The SQLite database connection.
serde (Optional[SerializerProtocol]): The serializer to use for serializing and deserializing checkpoints. Defaults to JsonPlusSerializerCompat.
Examples:
>>> import sqlite3
>>> from langgraph.checkpoint.sqlite import SqliteSaver
>>> from langgraph.graph import StateGraph
>>>
>>> builder = StateGraph(int)
>>> builder.add_node("add_one", lambda x: x + 1)
>>> builder.set_entry_point("add_one")
>>> builder.set_finish_point("add_one")
>>> conn = sqlite3.connect("checkpoints.sqlite")
>>> memory = SqliteSaver(conn)
>>> graph = builder.compile(checkpointer=memory)
>>> config = {"configurable": {"thread_id": "1"}}
>>> graph.get_state(config)
>>> result = graph.invoke(3, config)
>>> graph.get_state(config)
StateSnapshot(values=4, next=(), config={'configurable': {'thread_id': '1', 'checkpoint_id': '0c62ca34-ac19-445d-bbb0-5b4984975b2a'}}, parent_config=None)
""" # noqa
conn: sqlite3.Connection
is_setup: bool
def __init__(
self,
conn: sqlite3.Connection,
*,
serde: Optional[SerializerProtocol] = None,
) -> None:
super().__init__(serde=serde)
self.jsonplus_serde = JsonPlusSerializer()
self.conn = conn
self.is_setup = False
self.lock = threading.Lock()
@classmethod
def from_conn_string(cls, conn_string: str) -> "SqliteSaver":
"""Create a new SqliteSaver instance from a connection string.
Args:
conn_string (str): The SQLite connection string.
Returns:
SqliteSaver: A new SqliteSaver instance.
Examples:
In memory:
memory = SqliteSaver.from_conn_string(":memory:")
To disk:
memory = SqliteSaver.from_conn_string("checkpoints.sqlite")
"""
return SqliteSaver(
conn=sqlite3.connect(
conn_string,
# https://ricardoanderegg.com/posts/python-sqlite-thread-safety/
check_same_thread=False,
)
)
def __enter__(self) -> Self:
return self
def __exit__(
self,
__exc_type: Optional[type[BaseException]],
__exc_value: Optional[BaseException],
__traceback: Optional[TracebackType],
) -> Optional[bool]:
return self.conn.close()
def setup(self) -> None:
"""Set up the checkpoint database.
This method creates the necessary tables in the SQLite database if they don't
already exist. It is called automatically when needed and should not be called
directly by the user.
"""
if self.is_setup:
return
self.conn.executescript(
"""
PRAGMA journal_mode=WAL;
CREATE TABLE IF NOT EXISTS checkpoints (
thread_id TEXT NOT NULL,
checkpoint_ns TEXT NOT NULL DEFAULT '',
checkpoint_id TEXT NOT NULL,
parent_checkpoint_id TEXT,
type TEXT,
checkpoint BLOB,
metadata BLOB,
PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id)
);
CREATE TABLE IF NOT EXISTS writes (
thread_id TEXT NOT NULL,
checkpoint_ns TEXT NOT NULL DEFAULT '',
checkpoint_id TEXT NOT NULL,
task_id TEXT NOT NULL,
idx INTEGER NOT NULL,
channel TEXT NOT NULL,
type TEXT,
value BLOB,
PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id, task_id, idx)
);
"""
)
self.is_setup = True
@contextmanager
def cursor(self, transaction: bool = True) -> Iterator[sqlite3.Cursor]:
"""Get a cursor for the SQLite database.
This method returns a cursor for the SQLite database. It is used internally
by the SqliteSaver and should not be called directly by the user.
Args:
transaction (bool): Whether to commit the transaction when the cursor is closed. Defaults to True.
Yields:
sqlite3.Cursor: A cursor for the SQLite database.
"""
self.setup()
cur = self.conn.cursor()
try:
yield cur
finally:
if transaction:
self.conn.commit()
cur.close()
def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
"""Get a checkpoint tuple from the database.
This method retrieves a checkpoint tuple from the SQLite database based on the
provided config. If the config contains a "checkpoint_id" key, the checkpoint with
the matching thread ID and timestamp is retrieved. Otherwise, the latest checkpoint
for the given thread ID is retrieved.
Args:
config (RunnableConfig): The config to use for retrieving the checkpoint.
Returns:
Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
Examples:
Basic:
>>> config = {"configurable": {"thread_id": "1"}}
>>> checkpoint_tuple = memory.get_tuple(config)
>>> print(checkpoint_tuple)
CheckpointTuple(...)
With timestamp:
>>> config = {
... "configurable": {
... "thread_id": "1",
... "checkpoint_id": "2024-05-04T06:32:42.235444+00:00",
... }
... }
>>> checkpoint_tuple = memory.get_tuple(config)
>>> print(checkpoint_tuple)
CheckpointTuple(...)
""" # noqa
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
with self.cursor(transaction=False) as cur:
# find the latest checkpoint for the thread_id
if checkpoint_id := get_checkpoint_id(config):
cur.execute(
"SELECT thread_id, checkpoint_id, parent_checkpoint_id, type, checkpoint, metadata FROM checkpoints WHERE thread_id = ? AND checkpoint_ns = ? AND checkpoint_id = ?",
(
str(config["configurable"]["thread_id"]),
checkpoint_ns,
checkpoint_id,
),
)
else:
cur.execute(
"SELECT thread_id, checkpoint_id, parent_checkpoint_id, type, checkpoint, metadata FROM checkpoints WHERE thread_id = ? AND checkpoint_ns = ? ORDER BY checkpoint_id DESC LIMIT 1",
(str(config["configurable"]["thread_id"]), checkpoint_ns),
)
# if a checkpoint is found, return it
if value := cur.fetchone():
(
thread_id,
checkpoint_id,
parent_checkpoint_id,
type,
checkpoint,
metadata,
) = value
if not get_checkpoint_id(config):
config = {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": checkpoint_ns,
"checkpoint_id": checkpoint_id,
}
}
# find any pending writes
cur.execute(
"SELECT task_id, channel, type, value FROM writes WHERE thread_id = ? AND checkpoint_ns = ? AND checkpoint_id = ?",
(
str(config["configurable"]["thread_id"]),
checkpoint_ns,
str(config["configurable"]["checkpoint_id"]),
),
)
# deserialize the checkpoint and metadata
return CheckpointTuple(
config,
self.serde.loads_typed((type, checkpoint)),
self.jsonplus_serde.loads(metadata) if metadata is not None else {},
(
{
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": checkpoint_ns,
"checkpoint_id": parent_checkpoint_id,
}
}
if parent_checkpoint_id
else None
),
[
(task_id, channel, self.serde.loads_typed((type, value)))
for task_id, channel, type, value in cur
],
)
def list(
self,
config: Optional[RunnableConfig],
*,
filter: Optional[Dict[str, Any]] = None,
before: Optional[RunnableConfig] = None,
limit: Optional[int] = None,
) -> Iterator[CheckpointTuple]:
"""List checkpoints from the database.
This method retrieves a list of checkpoint tuples from the SQLite database based
on the provided config. The checkpoints are ordered by timestamp in descending order.
Args:
config (RunnableConfig): The config to use for listing the checkpoints.
filter (Optional[Dict[str, Any]]): Additional filtering criteria for metadata. Defaults to None.
before (Optional[RunnableConfig]): If provided, only checkpoints before the specified timestamp are returned. Defaults to None.
limit (Optional[int]): The maximum number of checkpoints to return. Defaults to None.
Yields:
Iterator[CheckpointTuple]: An iterator of checkpoint tuples.
Examples:
>>> from langgraph.checkpoint.sqlite import SqliteSaver
>>> memory = SqliteSaver.from_conn_string(":memory:")
... # Run a graph, then list the checkpoints
>>> config = {"configurable": {"thread_id": "1"}}
>>> checkpoints = list(memory.list(config, limit=2))
>>> print(checkpoints)
[CheckpointTuple(...), CheckpointTuple(...)]
>>> config = {"configurable": {"thread_id": "1"}}
>>> before = {"configurable": {"checkpoint_id": "2024-05-04T06:32:42.235444+00:00"}}
>>> checkpoints = list(memory.list(config, before=before))
>>> print(checkpoints)
[CheckpointTuple(...), ...]
"""
where, param_values = search_where(config, filter, before)
query = f"""SELECT thread_id, checkpoint_ns, checkpoint_id, parent_checkpoint_id, type, checkpoint, metadata
FROM checkpoints
{where}
ORDER BY checkpoint_id DESC"""
if limit:
query += f" LIMIT {limit}"
with self.cursor(transaction=False) as cur:
cur.execute(query, param_values)
for (
thread_id,
checkpoint_ns,
checkpoint_id,
parent_checkpoint_id,
type,
checkpoint,
metadata,
) in cur:
yield CheckpointTuple(
{
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": checkpoint_ns,
"checkpoint_id": checkpoint_id,
}
},
self.serde.loads_typed((type, checkpoint)),
self.jsonplus_serde.loads(metadata) if metadata is not None else {},
(
{
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": checkpoint_ns,
"checkpoint_id": parent_checkpoint_id,
}
}
if parent_checkpoint_id
else None
),
)
def put(
self,
config: RunnableConfig,
checkpoint: Checkpoint,
metadata: CheckpointMetadata,
) -> RunnableConfig:
"""Save a checkpoint to the database.
This method saves a checkpoint to the SQLite database. The checkpoint is associated
with the provided config and its parent config (if any).
Args:
config (RunnableConfig): The config to associate with the checkpoint.
checkpoint (Checkpoint): The checkpoint to save.
metadata (Optional[dict[str, Any]]): Additional metadata to save with the checkpoint. Defaults to None.
Returns:
RunnableConfig: The updated config containing the saved checkpoint's timestamp.
Examples:
>>> from langgraph.checkpoint.sqlite import SqliteSaver
>>> memory = SqliteSaver.from_conn_string(":memory:")
... # Run a graph, then list the checkpoints
>>> config = {"configurable": {"thread_id": "1"}}
>>> checkpoint = {"ts": "2024-05-04T06:32:42.235444+00:00", "data": {"key": "value"}}
>>> saved_config = memory.put(config, checkpoint, {"source": "input", "step": 1, "writes": {"key": "value"}})
>>> print(saved_config)
{"configurable": {"thread_id": "1", "checkpoint_id": 2024-05-04T06:32:42.235444+00:00"}}
"""
thread_id = config["configurable"]["thread_id"]
checkpoint_ns = config["configurable"]["checkpoint_ns"]
type_, serialized_checkpoint = self.serde.dumps_typed(checkpoint)
serialized_metadata = self.jsonplus_serde.dumps(metadata)
with self.lock, self.cursor() as cur:
cur.execute(
"INSERT OR REPLACE INTO checkpoints (thread_id, checkpoint_ns, checkpoint_id, parent_checkpoint_id, type, checkpoint, metadata) VALUES (?, ?, ?, ?, ?, ?, ?)",
(
str(config["configurable"]["thread_id"]),
checkpoint_ns,
checkpoint["id"],
config["configurable"].get("checkpoint_id"),
type_,
serialized_checkpoint,
serialized_metadata,
),
)
return {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": checkpoint_ns,
"checkpoint_id": checkpoint["id"],
}
}
def put_writes(
self,
config: RunnableConfig,
writes: Sequence[Tuple[str, Any]],
task_id: str,
) -> None:
"""Store intermediate writes linked to a checkpoint.
This method saves intermediate writes associated with a checkpoint to the SQLite database.
Args:
config (RunnableConfig): Configuration of the related checkpoint.
writes (Sequence[Tuple[str, Any]]): List of writes to store, each as (channel, value) pair.
task_id (str): Identifier for the task creating the writes.
"""
with self.lock, self.cursor() as cur:
cur.executemany(
"INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)",
[
(
str(config["configurable"]["thread_id"]),
str(config["configurable"]["checkpoint_ns"]),
str(config["configurable"]["checkpoint_id"]),
task_id,
idx,
channel,
*self.serde.dumps_typed(value),
)
for idx, (channel, value) in enumerate(writes)
],
)
async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
"""Get a checkpoint tuple from the database asynchronously.
Note:
This async method is not supported by the SqliteSaver class.
Use get_tuple() instead, or consider using [AsyncSqliteSaver][asyncsqlitesaver].
"""
raise NotImplementedError(_AIO_ERROR_MSG)
async def alist(
self,
config: Optional[RunnableConfig],
*,
filter: Optional[Dict[str, Any]] = None,
before: Optional[RunnableConfig] = None,
limit: Optional[int] = None,
) -> AsyncIterator[CheckpointTuple]:
"""List checkpoints from the database asynchronously.
Note:
This async method is not supported by the SqliteSaver class.
Use list() instead, or consider using [AsyncSqliteSaver][asyncsqlitesaver].
"""
raise NotImplementedError(_AIO_ERROR_MSG)
yield
async def aput(
self,
config: RunnableConfig,
checkpoint: Checkpoint,
metadata: CheckpointMetadata,
) -> RunnableConfig:
"""Save a checkpoint to the database asynchronously.
Note:
This async method is not supported by the SqliteSaver class.
Use put() instead, or consider using [AsyncSqliteSaver][asyncsqlitesaver].
"""
raise NotImplementedError(_AIO_ERROR_MSG)
def get_next_version(self, current: Optional[str], channel: ChannelProtocol) -> str:
"""Generate the next version ID for a channel.
This method creates a new version identifier for a channel based on its current version.
Args:
current (Optional[str]): The current version identifier of the channel.
channel (BaseChannel): The channel being versioned.
Returns:
str: The next version identifier, which is guaranteed to be monotonically increasing.
"""
if current is None:
current_v = 0
else:
current_v = int(current.split(".")[0])
next_v = current_v + 1
try:
next_h = md5(self.serde.dumps_typed(channel.checkpoint())[1]).hexdigest()
except EmptyChannelError:
next_h = ""
return f"{next_v:032}.{next_h}"