mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-25 09:02:25 +02:00
163 lines
5.7 KiB
Python
163 lines
5.7 KiB
Python
import pickle
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import sqlite3
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from contextlib import AbstractContextManager, contextmanager
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from types import TracebackType
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from typing import AsyncIterator, Iterator, Optional
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from langchain_core.pydantic_v1 import Field
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from langchain_core.runnables import RunnableConfig
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from typing_extensions import Self
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from langgraph.checkpoint.base import BaseCheckpointSaver, Checkpoint, CheckpointTuple
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class SqliteSaver(BaseCheckpointSaver, AbstractContextManager):
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conn: sqlite3.Connection
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is_setup: bool = Field(False, init=False, repr=False)
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class Config:
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arbitrary_types_allowed = True
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@classmethod
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def from_conn_string(cls, conn_string: str) -> "SqliteSaver":
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return SqliteSaver(conn=sqlite3.connect(conn_string))
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def __enter__(self) -> Self:
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return self
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def __exit__(
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self,
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__exc_type: Optional[type[BaseException]],
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__exc_value: Optional[BaseException],
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__traceback: Optional[TracebackType],
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) -> Optional[bool]:
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return self.conn.close()
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def setup(self) -> None:
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if self.is_setup:
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return
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self.conn.executescript(
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"""
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CREATE TABLE IF NOT EXISTS checkpoints (
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thread_id TEXT NOT NULL,
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thread_ts TEXT NOT NULL,
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parent_ts TEXT,
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checkpoint BLOB,
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PRIMARY KEY (thread_id, thread_ts)
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);
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"""
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)
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self.is_setup = True
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@contextmanager
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def cursor(self, transaction: bool = True):
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self.setup()
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cur = self.conn.cursor()
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try:
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yield cur
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finally:
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if transaction:
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self.conn.commit()
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cur.close()
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def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
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with self.cursor(transaction=False) as cur:
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if config["configurable"].get("thread_ts"):
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cur.execute(
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"SELECT checkpoint, parent_ts FROM checkpoints WHERE thread_id = ? AND thread_ts = ?",
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(
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config["configurable"]["thread_id"],
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config["configurable"]["thread_ts"],
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),
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)
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if value := cur.fetchone():
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return CheckpointTuple(
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config,
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pickle.loads(value[0]),
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{
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"configurable": {
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"thread_id": config["configurable"]["thread_id"],
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"thread_ts": value[1],
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}
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}
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if value[1]
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else None,
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)
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else:
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cur.execute(
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"SELECT thread_id, thread_ts, parent_ts, checkpoint FROM checkpoints WHERE thread_id = ? ORDER BY thread_ts DESC LIMIT 1",
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(config["configurable"]["thread_id"],),
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)
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if value := cur.fetchone():
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return CheckpointTuple(
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{
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"configurable": {
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"thread_id": value[0],
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"thread_ts": value[1],
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}
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},
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pickle.loads(value[3]),
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{
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"configurable": {
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"thread_id": value[0],
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"thread_ts": value[2],
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}
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}
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if value[2]
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else None,
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)
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def list(self, config: RunnableConfig) -> Iterator[CheckpointTuple]:
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with self.cursor(transaction=False) as cur:
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cur.execute(
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"SELECT thread_id, thread_ts, parent_ts, checkpoint FROM checkpoints WHERE thread_id = ? ORDER BY thread_ts DESC",
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(config["configurable"]["thread_id"],),
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)
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for thread_id, thread_ts, parent_ts, value in cur:
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yield CheckpointTuple(
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{"configurable": {"thread_id": thread_id, "thread_ts": thread_ts}},
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pickle.loads(value),
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{
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"configurable": {
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"thread_id": thread_id,
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"thread_ts": parent_ts,
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}
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}
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if parent_ts
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else None,
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)
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def put(self, config: RunnableConfig, checkpoint: Checkpoint) -> RunnableConfig:
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with self.cursor() as cur:
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cur.execute(
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"INSERT OR REPLACE INTO checkpoints (thread_id, thread_ts, parent_ts, checkpoint) VALUES (?, ?, ?, ?)",
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(
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config["configurable"]["thread_id"],
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checkpoint["ts"],
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config["configurable"].get("thread_ts"),
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pickle.dumps(checkpoint),
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),
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)
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return {
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"configurable": {
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"thread_id": config["configurable"]["thread_id"],
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"thread_ts": checkpoint["ts"],
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}
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}
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async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
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raise NotImplementedError("Use AsyncSqliteSaver instead")
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async def alist(
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self, config: RunnableConfig
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) -> AsyncIterator[tuple[RunnableConfig, Checkpoint]]:
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raise NotImplementedError("Use AsyncSqliteSaver instead")
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async def aput(
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self, config: RunnableConfig, checkpoint: Checkpoint
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) -> RunnableConfig:
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raise NotImplementedError("Use AsyncSqliteSaver instead")
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