mirror of
https://github.com/langchain-ai/langgraph.git
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checkpoint-sqlite: new library for sqlite checkpointer implementation (#1203)
* checkpoint-sqlite: new library for sqlite checkpointer implementation
This commit is contained in:
Vadym Barda
@@ -0,0 +1,34 @@
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.PHONY: test test_watch lint format
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######################
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# TESTING AND COVERAGE
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######################
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test:
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poetry run pytest tests
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test_watch:
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poetry run ptw .
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######################
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# LINTING AND FORMATTING
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######################
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# Define a variable for Python and notebook files.
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PYTHON_FILES=.
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MYPY_CACHE=.mypy_cache
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lint format: PYTHON_FILES=.
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lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
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lint_package: PYTHON_FILES=langgraph
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lint_tests: PYTHON_FILES=tests
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lint_tests: MYPY_CACHE=.mypy_cache_test
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lint lint_diff lint_package lint_tests:
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poetry run ruff .
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[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff
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[ "$(PYTHON_FILES)" = "" ] || poetry run ruff --select I $(PYTHON_FILES)
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[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) || poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
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format format_diff:
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poetry run ruff format $(PYTHON_FILES)
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poetry run ruff --select I --fix $(PYTHON_FILES)
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@@ -0,0 +1,91 @@
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# LangGraph SQLite Checkpoint
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Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`)
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## Usage
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```python
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from langgraph.checkpoint.sqlite import SqliteSaver
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checkpointer = SqliteSaver.from_conn_string(":memory:")
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checkpoint = {
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"v": 1,
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"ts": "2024-07-31T20:14:19.804150+00:00",
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"id": "1ef4f797-8335-6428-8001-8a1503f9b875",
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"channel_values": {
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"my_key": "meow",
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"node": "node"
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},
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"channel_versions": {
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"__start__": 2,
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"my_key": 3,
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"start:node": 3,
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"node": 3
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},
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"versions_seen": {
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"__input__": {},
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"__start__": {
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"__start__": 1
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},
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"node": {
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"start:node": 2
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}
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},
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"pending_sends": [],
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"current_tasks": {}
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}
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# store checkpoint
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checkpointer.put(thread_config, checkpoint, {})
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# load checkpoint
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checkpointer.get(thread_config)
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# list checkpoints
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list(checkpointer.list(thread_config))
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```
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### Async
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```python
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from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
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checkpointer = AsyncSqliteSaver.from_conn_string(":memory:")
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checkpoint = {
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"v": 1,
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"ts": "2024-07-31T20:14:19.804150+00:00",
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"id": "1ef4f797-8335-6428-8001-8a1503f9b875",
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"channel_values": {
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"my_key": "meow",
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"node": "node"
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},
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"channel_versions": {
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"__start__": 2,
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"my_key": 3,
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"start:node": 3,
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"node": 3
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},
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"versions_seen": {
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"__input__": {},
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"__start__": {
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"__start__": 1
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},
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"node": {
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"start:node": 2
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}
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},
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"pending_sends": [],
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"current_tasks": {}
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}
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# store checkpoint
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await checkpointer.aput(thread_config, checkpoint, {})
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# load checkpoint
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await checkpointer.aget(thread_config)
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# list checkpoints
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[c async for c in checkpointer.alist(thread_config)]
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```
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@@ -0,0 +1,510 @@
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import sqlite3
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import threading
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from contextlib import AbstractContextManager, contextmanager
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from hashlib import md5
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from types import TracebackType
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from typing import Any, AsyncIterator, Dict, Iterator, Optional, Sequence, Tuple
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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 (
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BaseCheckpointSaver,
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Checkpoint,
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CheckpointMetadata,
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CheckpointTuple,
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EmptyChannelError,
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SerializerProtocol,
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get_checkpoint_id,
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)
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from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
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from langgraph.checkpoint.serde.types import ChannelProtocol
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from langgraph.checkpoint.sqlite.utils import search_where
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_AIO_ERROR_MSG = (
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"The SqliteSaver does not support async methods. "
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"Consider using AsyncSqliteSaver instead.\n"
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"from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver\n"
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"Note: AsyncSqliteSaver requires the aiosqlite package to use.\n"
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"Install with:\n`pip install aiosqlite`\n"
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"See https://langchain-ai.github.io/langgraph/reference/checkpoints/asyncsqlitesaver"
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"for more information."
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)
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class SqliteSaver(BaseCheckpointSaver, AbstractContextManager):
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"""A checkpoint saver that stores checkpoints in a SQLite database.
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Note:
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This class is meant for lightweight, synchronous use cases
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(demos and small projects) and does not
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scale to multiple threads.
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For a similar sqlite saver with `async` support,
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consider using [AsyncSqliteSaver][asyncsqlitesaver].
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Args:
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conn (sqlite3.Connection): The SQLite database connection.
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serde (Optional[SerializerProtocol]): The serializer to use for serializing and deserializing checkpoints. Defaults to JsonPlusSerializerCompat.
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Examples:
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>>> import sqlite3
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>>> from langgraph.checkpoint.sqlite import SqliteSaver
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>>> from langgraph.graph import StateGraph
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>>>
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>>> builder = StateGraph(int)
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>>> builder.add_node("add_one", lambda x: x + 1)
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>>> builder.set_entry_point("add_one")
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>>> builder.set_finish_point("add_one")
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>>> conn = sqlite3.connect("checkpoints.sqlite")
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>>> memory = SqliteSaver(conn)
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>>> graph = builder.compile(checkpointer=memory)
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>>> config = {"configurable": {"thread_id": "1"}}
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>>> graph.get_state(config)
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>>> result = graph.invoke(3, config)
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>>> graph.get_state(config)
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StateSnapshot(values=4, next=(), config={'configurable': {'thread_id': '1', 'checkpoint_id': '0c62ca34-ac19-445d-bbb0-5b4984975b2a'}}, parent_config=None)
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""" # noqa
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conn: sqlite3.Connection
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is_setup: bool
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def __init__(
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self,
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conn: sqlite3.Connection,
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*,
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serde: Optional[SerializerProtocol] = None,
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) -> None:
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super().__init__(serde=serde)
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self.jsonplus_serde = JsonPlusSerializer()
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self.conn = conn
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self.is_setup = False
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self.lock = threading.Lock()
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@classmethod
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def from_conn_string(cls, conn_string: str) -> "SqliteSaver":
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"""Create a new SqliteSaver instance from a connection string.
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Args:
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conn_string (str): The SQLite connection string.
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Returns:
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SqliteSaver: A new SqliteSaver instance.
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Examples:
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In memory:
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memory = SqliteSaver.from_conn_string(":memory:")
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To disk:
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memory = SqliteSaver.from_conn_string("checkpoints.sqlite")
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"""
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return SqliteSaver(
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conn=sqlite3.connect(
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conn_string,
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# https://ricardoanderegg.com/posts/python-sqlite-thread-safety/
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check_same_thread=False,
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)
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)
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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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"""Set up the checkpoint database.
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This method creates the necessary tables in the SQLite database if they don't
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already exist. It is called automatically when needed and should not be called
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directly by the user.
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"""
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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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PRAGMA journal_mode=WAL;
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CREATE TABLE IF NOT EXISTS checkpoints (
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thread_id TEXT NOT NULL,
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checkpoint_ns TEXT NOT NULL DEFAULT '',
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checkpoint_id TEXT NOT NULL,
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parent_checkpoint_id TEXT,
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type TEXT,
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checkpoint BLOB,
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metadata BLOB,
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PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id)
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);
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CREATE TABLE IF NOT EXISTS writes (
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thread_id TEXT NOT NULL,
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checkpoint_ns TEXT NOT NULL DEFAULT '',
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checkpoint_id TEXT NOT NULL,
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task_id TEXT NOT NULL,
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idx INTEGER NOT NULL,
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channel TEXT NOT NULL,
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type TEXT,
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value BLOB,
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PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id, task_id, idx)
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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) -> Iterator[sqlite3.Cursor]:
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"""Get a cursor for the SQLite database.
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This method returns a cursor for the SQLite database. It is used internally
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by the SqliteSaver and should not be called directly by the user.
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Args:
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transaction (bool): Whether to commit the transaction when the cursor is closed. Defaults to True.
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Yields:
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sqlite3.Cursor: A cursor for the SQLite database.
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"""
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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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"""Get a checkpoint tuple from the database.
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This method retrieves a checkpoint tuple from the SQLite database based on the
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provided config. If the config contains a "checkpoint_id" key, the checkpoint with
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the matching thread ID and timestamp is retrieved. Otherwise, the latest checkpoint
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for the given thread ID is retrieved.
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Args:
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config (RunnableConfig): The config to use for retrieving the checkpoint.
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Returns:
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Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
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Examples:
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Basic:
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>>> config = {"configurable": {"thread_id": "1"}}
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>>> checkpoint_tuple = memory.get_tuple(config)
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>>> print(checkpoint_tuple)
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CheckpointTuple(...)
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With timestamp:
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>>> config = {
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... "configurable": {
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... "thread_id": "1",
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... "checkpoint_id": "2024-05-04T06:32:42.235444+00:00",
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... }
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... }
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>>> checkpoint_tuple = memory.get_tuple(config)
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>>> print(checkpoint_tuple)
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CheckpointTuple(...)
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""" # noqa
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checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
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with self.cursor(transaction=False) as cur:
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# find the latest checkpoint for the thread_id
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if checkpoint_id := get_checkpoint_id(config):
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cur.execute(
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"SELECT thread_id, checkpoint_id, parent_checkpoint_id, type, checkpoint, metadata FROM checkpoints WHERE thread_id = ? AND checkpoint_ns = ? AND checkpoint_id = ?",
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(
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str(config["configurable"]["thread_id"]),
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checkpoint_ns,
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checkpoint_id,
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),
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)
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else:
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cur.execute(
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"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",
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(str(config["configurable"]["thread_id"]), checkpoint_ns),
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)
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# if a checkpoint is found, return it
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if value := cur.fetchone():
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(
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thread_id,
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checkpoint_id,
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parent_checkpoint_id,
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type,
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checkpoint,
|
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metadata,
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) = value
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if not get_checkpoint_id(config):
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config = {
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"configurable": {
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"thread_id": thread_id,
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"checkpoint_ns": checkpoint_ns,
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"checkpoint_id": checkpoint_id,
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}
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}
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# find any pending writes
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cur.execute(
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"SELECT task_id, channel, type, value FROM writes WHERE thread_id = ? AND checkpoint_ns = ? AND checkpoint_id = ?",
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(
|
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str(config["configurable"]["thread_id"]),
|
||||
checkpoint_ns,
|
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str(config["configurable"]["checkpoint_id"]),
|
||||
),
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)
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# deserialize the checkpoint and metadata
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return CheckpointTuple(
|
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config,
|
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self.serde.loads_typed((type, checkpoint)),
|
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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
|
||||
),
|
||||
[
|
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(task_id, channel, self.serde.loads_typed((type, value)))
|
||||
for task_id, channel, type, value in cur
|
||||
],
|
||||
)
|
||||
|
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def list(
|
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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}"
|
||||
@@ -0,0 +1,458 @@
|
||||
import asyncio
|
||||
import functools
|
||||
from contextlib import AbstractAsyncContextManager
|
||||
from types import TracebackType
|
||||
from typing import (
|
||||
Any,
|
||||
AsyncIterator,
|
||||
Dict,
|
||||
Iterator,
|
||||
Optional,
|
||||
Sequence,
|
||||
Tuple,
|
||||
TypeVar,
|
||||
)
|
||||
|
||||
import aiosqlite
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from typing_extensions import Self
|
||||
|
||||
from langgraph.checkpoint.base import (
|
||||
BaseCheckpointSaver,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
SerializerProtocol,
|
||||
get_checkpoint_id,
|
||||
)
|
||||
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
|
||||
from langgraph.checkpoint.sqlite.utils import search_where
|
||||
|
||||
T = TypeVar("T", bound=callable)
|
||||
|
||||
|
||||
def not_implemented_sync_method(func: T) -> T:
|
||||
@functools.wraps(func)
|
||||
def wrapper(*args, **kwargs):
|
||||
raise NotImplementedError(
|
||||
"The AsyncSqliteSaver does not support synchronous methods. "
|
||||
"Consider using the SqliteSaver instead.\n"
|
||||
"from langgraph.checkpoint.sqlite import SqliteSaver\n"
|
||||
"See https://langchain-ai.github.io/langgraph/reference/checkpoints/langgraph.checkpoint.sqlite.SqliteSaver "
|
||||
"for more information."
|
||||
)
|
||||
|
||||
return wrapper
|
||||
|
||||
|
||||
class AsyncSqliteSaver(BaseCheckpointSaver, AbstractAsyncContextManager):
|
||||
"""An asynchronous checkpoint saver that stores checkpoints in a SQLite database.
|
||||
|
||||
This class provides an asynchronous interface for saving and retrieving checkpoints
|
||||
using a SQLite database. It's designed for use in asynchronous environments and
|
||||
offers better performance for I/O-bound operations compared to synchronous alternatives.
|
||||
|
||||
Attributes:
|
||||
conn (aiosqlite.Connection): The asynchronous SQLite database connection.
|
||||
serde (SerializerProtocol): The serializer used for encoding/decoding checkpoints.
|
||||
|
||||
Tip:
|
||||
Requires the [aiosqlite](https://pypi.org/project/aiosqlite/) package.
|
||||
Install it with `pip install aiosqlite`.
|
||||
|
||||
Warning:
|
||||
While this class supports asynchronous checkpointing, it is not recommended
|
||||
for production workloads due to limitations in SQLite's write performance.
|
||||
For production use, consider a more robust database like PostgreSQL.
|
||||
|
||||
Tip:
|
||||
Remember to **close the database connection** after executing your code,
|
||||
otherwise, you may see the graph "hang" after execution (since the program
|
||||
will not exit until the connection is closed).
|
||||
|
||||
The easiest way is to use the `async with` statement as shown in the examples.
|
||||
|
||||
```python
|
||||
async with AsyncSqliteSaver.from_conn_string("checkpoints.sqlite") as saver:
|
||||
# Your code here
|
||||
graph = builder.compile(checkpointer=saver)
|
||||
config = {"configurable": {"thread_id": "thread-1"}}
|
||||
async for event in graph.astream_events(..., config, version="v1"):
|
||||
print(event)
|
||||
```
|
||||
|
||||
Examples:
|
||||
Usage within StateGraph:
|
||||
|
||||
```pycon
|
||||
>>> import asyncio
|
||||
>>>
|
||||
>>> from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
|
||||
>>> 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")
|
||||
>>> memory = AsyncSqliteSaver.from_conn_string("checkpoints.sqlite")
|
||||
>>> graph = builder.compile(checkpointer=memory)
|
||||
>>> coro = graph.ainvoke(1, {"configurable": {"thread_id": "thread-1"}})
|
||||
>>> asyncio.run(coro)
|
||||
Output: 2
|
||||
```
|
||||
Raw usage:
|
||||
|
||||
```pycon
|
||||
>>> import asyncio
|
||||
>>> import aiosqlite
|
||||
>>> from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
|
||||
>>>
|
||||
>>> async def main():
|
||||
>>> async with aiosqlite.connect("checkpoints.db") as conn:
|
||||
... saver = AsyncSqliteSaver(conn)
|
||||
... config = {"configurable": {"thread_id": "1"}}
|
||||
... checkpoint = {"ts": "2023-05-03T10:00:00Z", "data": {"key": "value"}}
|
||||
... saved_config = await saver.aput(config, checkpoint)
|
||||
... print(saved_config)
|
||||
>>> asyncio.run(main())
|
||||
{"configurable": {"thread_id": "1", "checkpoint_id": "0c62ca34-ac19-445d-bbb0-5b4984975b2a"}}
|
||||
```
|
||||
"""
|
||||
|
||||
lock: asyncio.Lock
|
||||
is_setup: bool
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
conn: aiosqlite.Connection,
|
||||
*,
|
||||
serde: Optional[SerializerProtocol] = None,
|
||||
):
|
||||
super().__init__(serde=serde)
|
||||
self.jsonplus_serde = JsonPlusSerializer()
|
||||
self.conn = conn
|
||||
self.lock = asyncio.Lock()
|
||||
self.is_setup = False
|
||||
|
||||
@classmethod
|
||||
def from_conn_string(cls, conn_string: str) -> "AsyncSqliteSaver":
|
||||
"""Create a new AsyncSqliteSaver instance from a connection string.
|
||||
|
||||
Args:
|
||||
conn_string (str): The SQLite connection string.
|
||||
|
||||
Returns:
|
||||
AsyncSqliteSaver: A new AsyncSqliteSaver instance.
|
||||
"""
|
||||
|
||||
return AsyncSqliteSaver(conn=aiosqlite.connect(conn_string))
|
||||
|
||||
async def __aenter__(self) -> Self:
|
||||
return self
|
||||
|
||||
async def __aexit__(
|
||||
self,
|
||||
__exc_type: Optional[type[BaseException]],
|
||||
__exc_value: Optional[BaseException],
|
||||
__traceback: Optional[TracebackType],
|
||||
) -> Optional[bool]:
|
||||
if self.is_setup:
|
||||
return await self.conn.close()
|
||||
|
||||
@not_implemented_sync_method
|
||||
def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
|
||||
"""Get a checkpoint tuple from the database.
|
||||
|
||||
Note:
|
||||
This method is not implemented for the AsyncSqliteSaver. Use `aget` instead.
|
||||
Or consider using the [SqliteSaver][sqlitesaver] checkpointer.
|
||||
"""
|
||||
|
||||
@not_implemented_sync_method
|
||||
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.
|
||||
|
||||
Note:
|
||||
This method is not implemented for the AsyncSqliteSaver. Use `alist` instead.
|
||||
Or consider using the [SqliteSaver][sqlitesaver] checkpointer.
|
||||
"""
|
||||
|
||||
@not_implemented_sync_method
|
||||
def put(
|
||||
self,
|
||||
config: RunnableConfig,
|
||||
checkpoint: Checkpoint,
|
||||
metadata: CheckpointMetadata,
|
||||
) -> RunnableConfig:
|
||||
"""Save a checkpoint to the database. FOO"""
|
||||
|
||||
async def setup(self) -> None:
|
||||
"""Set up the checkpoint database asynchronously.
|
||||
|
||||
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.
|
||||
"""
|
||||
async with self.lock:
|
||||
if self.is_setup:
|
||||
return
|
||||
if not self.conn.is_alive():
|
||||
await self.conn
|
||||
async with 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)
|
||||
);
|
||||
"""
|
||||
):
|
||||
await self.conn.commit()
|
||||
|
||||
self.is_setup = True
|
||||
|
||||
async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
|
||||
"""Get a checkpoint tuple from the database asynchronously.
|
||||
|
||||
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.
|
||||
"""
|
||||
await self.setup()
|
||||
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
|
||||
async with self.conn.cursor() as cur:
|
||||
# find the latest checkpoint for the thread_id
|
||||
if checkpoint_id := get_checkpoint_id(config):
|
||||
await 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:
|
||||
await 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 := await 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
|
||||
await 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)))
|
||||
async for task_id, channel, type, value in cur
|
||||
],
|
||||
)
|
||||
|
||||
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.
|
||||
|
||||
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 (Optional[RunnableConfig]): Base configuration for filtering checkpoints.
|
||||
filter (Optional[Dict[str, Any]]): Additional filtering criteria for metadata.
|
||||
before (Optional[RunnableConfig]): List checkpoints created before this configuration.
|
||||
limit (Optional[int]): Maximum number of checkpoints to return.
|
||||
|
||||
Yields:
|
||||
AsyncIterator[CheckpointTuple]: An asynchronous iterator of matching checkpoint tuples.
|
||||
"""
|
||||
await self.setup()
|
||||
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}"
|
||||
async with self.conn.execute(query, param_values) as cursor:
|
||||
async for (
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
checkpoint_id,
|
||||
parent_checkpoint_id,
|
||||
type,
|
||||
checkpoint,
|
||||
metadata,
|
||||
) in cursor:
|
||||
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
|
||||
),
|
||||
)
|
||||
|
||||
async def aput(
|
||||
self,
|
||||
config: RunnableConfig,
|
||||
checkpoint: Checkpoint,
|
||||
metadata: CheckpointMetadata,
|
||||
) -> RunnableConfig:
|
||||
"""Save a checkpoint to the database asynchronously.
|
||||
|
||||
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 (CheckpointMetadata): Additional metadata to save with the checkpoint.
|
||||
|
||||
Returns:
|
||||
RunnableConfig: The updated config containing the saved checkpoint's timestamp.
|
||||
"""
|
||||
await self.setup()
|
||||
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)
|
||||
async with self.conn.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,
|
||||
),
|
||||
):
|
||||
await self.conn.commit()
|
||||
return {
|
||||
"configurable": {
|
||||
"thread_id": thread_id,
|
||||
"checkpoint_ns": checkpoint_ns,
|
||||
"checkpoint_id": checkpoint["id"],
|
||||
}
|
||||
}
|
||||
|
||||
async def aput_writes(
|
||||
self,
|
||||
config: RunnableConfig,
|
||||
writes: Sequence[Tuple[str, Any]],
|
||||
task_id: str,
|
||||
) -> None:
|
||||
"""Store intermediate writes linked to a checkpoint asynchronously.
|
||||
|
||||
This method saves intermediate writes associated with a checkpoint to the 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.
|
||||
"""
|
||||
await self.setup()
|
||||
async with self.conn.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)
|
||||
],
|
||||
):
|
||||
await self.conn.commit()
|
||||
@@ -0,0 +1,88 @@
|
||||
import json
|
||||
from typing import Any, Dict, Optional, Sequence, Tuple
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
|
||||
from langgraph.checkpoint.base import get_checkpoint_id
|
||||
|
||||
|
||||
def _metadata_predicate(
|
||||
metadata_filter: Dict[str, Any],
|
||||
) -> Tuple[Sequence[str], Sequence[Any]]:
|
||||
"""Return WHERE clause predicates for (a)search() given metadata filter.
|
||||
|
||||
This method returns a tuple of a string and a tuple of values. The string
|
||||
is the parametered WHERE clause predicate (excluding the WHERE keyword):
|
||||
"column1 = ? AND column2 IS ?". The tuple of values contains the values
|
||||
for each of the corresponding parameters.
|
||||
"""
|
||||
|
||||
def _where_value(query_value: Any) -> Tuple[str, Any]:
|
||||
"""Return tuple of operator and value for WHERE clause predicate."""
|
||||
if query_value is None:
|
||||
return ("IS ?", None)
|
||||
elif (
|
||||
isinstance(query_value, str)
|
||||
or isinstance(query_value, int)
|
||||
or isinstance(query_value, float)
|
||||
):
|
||||
return ("= ?", query_value)
|
||||
elif isinstance(query_value, bool):
|
||||
return ("= ?", 1 if query_value else 0)
|
||||
elif isinstance(query_value, dict) or isinstance(query_value, list):
|
||||
# query value for JSON object cannot have trailing space after separators (, :)
|
||||
# SQLite json_extract() returns JSON string without whitespace
|
||||
return ("= ?", json.dumps(query_value, separators=(",", ":")))
|
||||
else:
|
||||
return ("= ?", str(query_value))
|
||||
|
||||
predicates = []
|
||||
param_values = []
|
||||
|
||||
# process metadata query
|
||||
for query_key, query_value in metadata_filter.items():
|
||||
operator, param_value = _where_value(query_value)
|
||||
predicates.append(
|
||||
f"json_extract(CAST(metadata AS TEXT), '$.{query_key}') {operator}"
|
||||
)
|
||||
param_values.append(param_value)
|
||||
|
||||
return (predicates, param_values)
|
||||
|
||||
|
||||
def search_where(
|
||||
config: Optional[RunnableConfig],
|
||||
filter: Optional[Dict[str, Any]],
|
||||
before: Optional[RunnableConfig] = None,
|
||||
) -> Tuple[str, Sequence[Any]]:
|
||||
"""Return WHERE clause predicates for (a)search() given metadata filter
|
||||
and `before` config.
|
||||
|
||||
This method returns a tuple of a string and a tuple of values. The string
|
||||
is the parametered WHERE clause predicate (including the WHERE keyword):
|
||||
"WHERE column1 = ? AND column2 IS ?". The tuple of values contains the
|
||||
values for each of the corresponding parameters.
|
||||
"""
|
||||
wheres = []
|
||||
param_values = []
|
||||
|
||||
# construct predicate for config filter
|
||||
if config is not None:
|
||||
wheres.append("thread_id = ?")
|
||||
param_values.append(config["configurable"]["thread_id"])
|
||||
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
|
||||
wheres.append("checkpoint_ns = ?")
|
||||
param_values.append(checkpoint_ns)
|
||||
|
||||
# construct predicate for metadata filter
|
||||
if filter:
|
||||
metadata_predicates, metadata_values = _metadata_predicate(filter)
|
||||
wheres.extend(metadata_predicates)
|
||||
param_values.extend(metadata_values)
|
||||
|
||||
# construct predicate for `before`
|
||||
if before is not None:
|
||||
wheres.append("checkpoint_id < ?")
|
||||
param_values.append(get_checkpoint_id(before))
|
||||
|
||||
return ("WHERE " + " AND ".join(wheres) if wheres else "", param_values)
|
||||
Generated
+835
@@ -0,0 +1,835 @@
|
||||
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "aiosqlite"
|
||||
version = "0.20.0"
|
||||
description = "asyncio bridge to the standard sqlite3 module"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "aiosqlite-0.20.0-py3-none-any.whl", hash = "sha256:36a1deaca0cac40ebe32aac9977a6e2bbc7f5189f23f4a54d5908986729e5bd6"},
|
||||
{file = "aiosqlite-0.20.0.tar.gz", hash = "sha256:6d35c8c256637f4672f843c31021464090805bf925385ac39473fb16eaaca3d7"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
typing_extensions = ">=4.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["attribution (==1.7.0)", "black (==24.2.0)", "coverage[toml] (==7.4.1)", "flake8 (==7.0.0)", "flake8-bugbear (==24.2.6)", "flit (==3.9.0)", "mypy (==1.8.0)", "ufmt (==2.3.0)", "usort (==1.0.8.post1)"]
|
||||
docs = ["sphinx (==7.2.6)", "sphinx-mdinclude (==0.5.3)"]
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
version = "0.7.0"
|
||||
description = "Reusable constraint types to use with typing.Annotated"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
|
||||
{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2024.7.4"
|
||||
description = "Python package for providing Mozilla's CA Bundle."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
|
||||
{file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "charset-normalizer"
|
||||
version = "3.3.2"
|
||||
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
files = [
|
||||
{file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-win32.whl", hash = "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73"},
|
||||
{file = "charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-win32.whl", hash = "sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab"},
|
||||
{file = "charset_normalizer-3.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77"},
|
||||
{file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"},
|
||||
{file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b"},
|
||||
{file = "charset_normalizer-3.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6"},
|
||||
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a"},
|
||||
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389"},
|
||||
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa"},
|
||||
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b"},
|
||||
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||||
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||||
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||||
[[package]]
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||||
name = "idna"
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||||
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||||
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||||
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||||
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|
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
python-versions = "^3.9.0,<4.0"
|
||||
files = []
|
||||
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|
||||
|
||||
[package.dependencies]
|
||||
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|
||||
|
||||
[package.source]
|
||||
type = "directory"
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||||
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|
||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
optional = false
|
||||
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|
||||
files = [
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||||
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||||
[[package]]
|
||||
name = "requests"
|
||||
version = "2.32.3"
|
||||
description = "Python HTTP for Humans."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
|
||||
{file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
certifi = ">=2017.4.17"
|
||||
charset-normalizer = ">=2,<4"
|
||||
idna = ">=2.5,<4"
|
||||
urllib3 = ">=1.21.1,<3"
|
||||
|
||||
[package.extras]
|
||||
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
|
||||
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.1.15"
|
||||
description = "An extremely fast Python linter and code formatter, written in Rust."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:5fe8d54df166ecc24106db7dd6a68d44852d14eb0729ea4672bb4d96c320b7df"},
|
||||
{file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:6f0bfbb53c4b4de117ac4d6ddfd33aa5fc31beeaa21d23c45c6dd249faf9126f"},
|
||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e0d432aec35bfc0d800d4f70eba26e23a352386be3a6cf157083d18f6f5881c8"},
|
||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9405fa9ac0e97f35aaddf185a1be194a589424b8713e3b97b762336ec79ff807"},
|
||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c66ec24fe36841636e814b8f90f572a8c0cb0e54d8b5c2d0e300d28a0d7bffec"},
|
||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:6f8ad828f01e8dd32cc58bc28375150171d198491fc901f6f98d2a39ba8e3ff5"},
|
||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86811954eec63e9ea162af0ffa9f8d09088bab51b7438e8b6488b9401863c25e"},
|
||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fd4025ac5e87d9b80e1f300207eb2fd099ff8200fa2320d7dc066a3f4622dc6b"},
|
||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b17b93c02cdb6aeb696effecea1095ac93f3884a49a554a9afa76bb125c114c1"},
|
||||
{file = "ruff-0.1.15-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:ddb87643be40f034e97e97f5bc2ef7ce39de20e34608f3f829db727a93fb82c5"},
|
||||
{file = "ruff-0.1.15-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:abf4822129ed3a5ce54383d5f0e964e7fef74a41e48eb1dfad404151efc130a2"},
|
||||
{file = "ruff-0.1.15-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6c629cf64bacfd136c07c78ac10a54578ec9d1bd2a9d395efbee0935868bf852"},
|
||||
{file = "ruff-0.1.15-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:1bab866aafb53da39c2cadfb8e1c4550ac5340bb40300083eb8967ba25481447"},
|
||||
{file = "ruff-0.1.15-py3-none-win32.whl", hash = "sha256:2417e1cb6e2068389b07e6fa74c306b2810fe3ee3476d5b8a96616633f40d14f"},
|
||||
{file = "ruff-0.1.15-py3-none-win_amd64.whl", hash = "sha256:3837ac73d869efc4182d9036b1405ef4c73d9b1f88da2413875e34e0d6919587"},
|
||||
{file = "ruff-0.1.15-py3-none-win_arm64.whl", hash = "sha256:9a933dfb1c14ec7a33cceb1e49ec4a16b51ce3c20fd42663198746efc0427360"},
|
||||
{file = "ruff-0.1.15.tar.gz", hash = "sha256:f6dfa8c1b21c913c326919056c390966648b680966febcb796cc9d1aaab8564e"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tenacity"
|
||||
version = "8.5.0"
|
||||
description = "Retry code until it succeeds"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "tenacity-8.5.0-py3-none-any.whl", hash = "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687"},
|
||||
{file = "tenacity-8.5.0.tar.gz", hash = "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
doc = ["reno", "sphinx"]
|
||||
test = ["pytest", "tornado (>=4.5)", "typeguard"]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.0.1"
|
||||
description = "A lil' TOML parser"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
|
||||
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.12.2"
|
||||
description = "Backported and Experimental Type Hints for Python 3.8+"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
|
||||
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "2.2.2"
|
||||
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"},
|
||||
{file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
|
||||
h2 = ["h2 (>=4,<5)"]
|
||||
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "watchdog"
|
||||
version = "4.0.1"
|
||||
description = "Filesystem events monitoring"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "watchdog-4.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:da2dfdaa8006eb6a71051795856bedd97e5b03e57da96f98e375682c48850645"},
|
||||
{file = "watchdog-4.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e93f451f2dfa433d97765ca2634628b789b49ba8b504fdde5837cdcf25fdb53b"},
|
||||
{file = "watchdog-4.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ef0107bbb6a55f5be727cfc2ef945d5676b97bffb8425650dadbb184be9f9a2b"},
|
||||
{file = "watchdog-4.0.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:17e32f147d8bf9657e0922c0940bcde863b894cd871dbb694beb6704cfbd2fb5"},
|
||||
{file = "watchdog-4.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:03e70d2df2258fb6cb0e95bbdbe06c16e608af94a3ffbd2b90c3f1e83eb10767"},
|
||||
{file = "watchdog-4.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:123587af84260c991dc5f62a6e7ef3d1c57dfddc99faacee508c71d287248459"},
|
||||
{file = "watchdog-4.0.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:093b23e6906a8b97051191a4a0c73a77ecc958121d42346274c6af6520dec175"},
|
||||
{file = "watchdog-4.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:611be3904f9843f0529c35a3ff3fd617449463cb4b73b1633950b3d97fa4bfb7"},
|
||||
{file = "watchdog-4.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:62c613ad689ddcb11707f030e722fa929f322ef7e4f18f5335d2b73c61a85c28"},
|
||||
{file = "watchdog-4.0.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:d4925e4bf7b9bddd1c3de13c9b8a2cdb89a468f640e66fbfabaf735bd85b3e35"},
|
||||
{file = "watchdog-4.0.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:cad0bbd66cd59fc474b4a4376bc5ac3fc698723510cbb64091c2a793b18654db"},
|
||||
{file = "watchdog-4.0.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:a3c2c317a8fb53e5b3d25790553796105501a235343f5d2bf23bb8649c2c8709"},
|
||||
{file = "watchdog-4.0.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c9904904b6564d4ee8a1ed820db76185a3c96e05560c776c79a6ce5ab71888ba"},
|
||||
{file = "watchdog-4.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:667f3c579e813fcbad1b784db7a1aaa96524bed53437e119f6a2f5de4db04235"},
|
||||
{file = "watchdog-4.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d10a681c9a1d5a77e75c48a3b8e1a9f2ae2928eda463e8d33660437705659682"},
|
||||
{file = "watchdog-4.0.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:0144c0ea9997b92615af1d94afc0c217e07ce2c14912c7b1a5731776329fcfc7"},
|
||||
{file = "watchdog-4.0.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:998d2be6976a0ee3a81fb8e2777900c28641fb5bfbd0c84717d89bca0addcdc5"},
|
||||
{file = "watchdog-4.0.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:e7921319fe4430b11278d924ef66d4daa469fafb1da679a2e48c935fa27af193"},
|
||||
{file = "watchdog-4.0.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:f0de0f284248ab40188f23380b03b59126d1479cd59940f2a34f8852db710625"},
|
||||
{file = "watchdog-4.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:bca36be5707e81b9e6ce3208d92d95540d4ca244c006b61511753583c81c70dd"},
|
||||
{file = "watchdog-4.0.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:ab998f567ebdf6b1da7dc1e5accfaa7c6992244629c0fdaef062f43249bd8dee"},
|
||||
{file = "watchdog-4.0.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:dddba7ca1c807045323b6af4ff80f5ddc4d654c8bce8317dde1bd96b128ed253"},
|
||||
{file = "watchdog-4.0.1-py3-none-manylinux2014_armv7l.whl", hash = "sha256:4513ec234c68b14d4161440e07f995f231be21a09329051e67a2118a7a612d2d"},
|
||||
{file = "watchdog-4.0.1-py3-none-manylinux2014_i686.whl", hash = "sha256:4107ac5ab936a63952dea2a46a734a23230aa2f6f9db1291bf171dac3ebd53c6"},
|
||||
{file = "watchdog-4.0.1-py3-none-manylinux2014_ppc64.whl", hash = "sha256:6e8c70d2cd745daec2a08734d9f63092b793ad97612470a0ee4cbb8f5f705c57"},
|
||||
{file = "watchdog-4.0.1-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:f27279d060e2ab24c0aa98363ff906d2386aa6c4dc2f1a374655d4e02a6c5e5e"},
|
||||
{file = "watchdog-4.0.1-py3-none-manylinux2014_s390x.whl", hash = "sha256:f8affdf3c0f0466e69f5b3917cdd042f89c8c63aebdb9f7c078996f607cdb0f5"},
|
||||
{file = "watchdog-4.0.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ac7041b385f04c047fcc2951dc001671dee1b7e0615cde772e84b01fbf68ee84"},
|
||||
{file = "watchdog-4.0.1-py3-none-win32.whl", hash = "sha256:206afc3d964f9a233e6ad34618ec60b9837d0582b500b63687e34011e15bb429"},
|
||||
{file = "watchdog-4.0.1-py3-none-win_amd64.whl", hash = "sha256:7577b3c43e5909623149f76b099ac49a1a01ca4e167d1785c76eb52fa585745a"},
|
||||
{file = "watchdog-4.0.1-py3-none-win_ia64.whl", hash = "sha256:d7b9f5f3299e8dd230880b6c55504a1f69cf1e4316275d1b215ebdd8187ec88d"},
|
||||
{file = "watchdog-4.0.1.tar.gz", hash = "sha256:eebaacf674fa25511e8867028d281e602ee6500045b57f43b08778082f7f8b44"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
watchmedo = ["PyYAML (>=3.10)"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.9.0,<4.0"
|
||||
content-hash = "fe930ed13860ae0d793023c6b4146919ba5a22d6a76c2d3392741f44ceed787d"
|
||||
@@ -0,0 +1,54 @@
|
||||
[tool.poetry]
|
||||
name = "langgraph-checkpoint-sqlite"
|
||||
version = "1.0.0"
|
||||
description = "Library with a SQLite implementation of LangGraph checkpoint saver."
|
||||
authors = []
|
||||
license = "MIT"
|
||||
readme = "README.md"
|
||||
repository = "https://www.github.com/langchain-ai/langgraph"
|
||||
packages = [{ include = "langgraph" }]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.9.0,<4.0"
|
||||
aiosqlite = "^0.20.0"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
ruff = "^0.1.4"
|
||||
codespell = "^2.2.0"
|
||||
pytest = "^7.2.1"
|
||||
pytest-asyncio = "^0.21.1"
|
||||
pytest-mock = "^3.11.1"
|
||||
pytest-watcher = "^0.4.1"
|
||||
mypy = "^1.10.0"
|
||||
langgraph-checkpoint = {path = "../checkpoint", develop = true}
|
||||
|
||||
[tool.pytest.ini_options]
|
||||
# --strict-markers will raise errors on unknown marks.
|
||||
# https://docs.pytest.org/en/7.1.x/how-to/mark.html#raising-errors-on-unknown-marks
|
||||
#
|
||||
# https://docs.pytest.org/en/7.1.x/reference/reference.html
|
||||
# --strict-config any warnings encountered while parsing the `pytest`
|
||||
# section of the configuration file raise errors.
|
||||
addopts = "--strict-markers --strict-config --durations=5 -vv"
|
||||
asyncio_mode = "auto"
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
[tool.ruff]
|
||||
lint.select = [
|
||||
"E", # pycodestyle
|
||||
"F", # Pyflakes
|
||||
"UP", # pyupgrade
|
||||
"B", # flake8-bugbear
|
||||
"I", # isort
|
||||
]
|
||||
lint.ignore = ["E501", "B008", "UP007", "UP006"]
|
||||
|
||||
[tool.pytest-watcher]
|
||||
now = true
|
||||
delay = 0.1
|
||||
runner_args = ["--ff", "-v", "--tb", "short"]
|
||||
patterns = ["*.py"]
|
||||
@@ -0,0 +1,112 @@
|
||||
import pytest
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
|
||||
from langgraph.checkpoint.base import (
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
create_checkpoint,
|
||||
empty_checkpoint,
|
||||
)
|
||||
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
|
||||
|
||||
|
||||
class TestAsyncSqliteSaver:
|
||||
@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 = {}
|
||||
|
||||
async def test_asearch(self):
|
||||
async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
|
||||
await saver.aput(self.config_1, self.chkpnt_1, self.metadata_1)
|
||||
await saver.aput(self.config_2, self.chkpnt_2, self.metadata_2)
|
||||
await saver.aput(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 = [c async for c in saver.alist(None, filter=query_1)]
|
||||
assert len(search_results_1) == 1
|
||||
assert search_results_1[0].metadata == self.metadata_1
|
||||
|
||||
search_results_2 = [c async for c in saver.alist(None, filter=query_2)]
|
||||
assert len(search_results_2) == 1
|
||||
assert search_results_2[0].metadata == self.metadata_2
|
||||
|
||||
search_results_3 = [c async for c in saver.alist(None, filter=query_3)]
|
||||
assert len(search_results_3) == 3
|
||||
|
||||
search_results_4 = [c async for c in saver.alist(None, filter=query_4)]
|
||||
assert len(search_results_4) == 0
|
||||
|
||||
# search by config (defaults to root graph checkpoints)
|
||||
search_results_5 = [
|
||||
c
|
||||
async for c in saver.alist({"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 = [
|
||||
c
|
||||
async for c in saver.alist(
|
||||
{
|
||||
"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
|
||||
@@ -0,0 +1,166 @@
|
||||
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
|
||||
Reference in New Issue
Block a user