mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-09-08 18:57:52 +02:00
merge
This commit is contained in:
@@ -1,6 +1,7 @@
|
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import threading
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from collections.abc import Iterator, Sequence
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from contextlib import contextmanager
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from typing import Any, Iterator, Optional, Sequence
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from typing import Any, Optional
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||||
|
||||
from langchain_core.runnables import RunnableConfig
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from psycopg import Capabilities, Connection, Cursor, Pipeline
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@@ -21,6 +22,8 @@ from langgraph.checkpoint.postgres import _internal
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from langgraph.checkpoint.postgres.base import BasePostgresSaver
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from langgraph.checkpoint.serde.base import SerializerProtocol
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Conn = _internal.Conn # For backward compatibility
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||||
|
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class PostgresSaver(BasePostgresSaver):
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lock: threading.Lock
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@@ -61,9 +64,9 @@ class PostgresSaver(BasePostgresSaver):
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) as conn:
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if pipeline:
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with conn.pipeline() as pipe:
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yield PostgresSaver(conn, pipe)
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yield cls(conn, pipe)
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else:
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yield PostgresSaver(conn)
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yield cls(conn)
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||||
|
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def setup(self) -> None:
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"""Set up the checkpoint database asynchronously.
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@@ -376,19 +379,23 @@ class PostgresSaver(BasePostgresSaver):
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# a connection not in pipeline mode can only be used by one
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# thread/coroutine at a time, so we acquire a lock
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if self.supports_pipeline:
|
||||
with self.lock, conn.pipeline(), conn.cursor(
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binary=True, row_factory=dict_row
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) as cur:
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with (
|
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self.lock,
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conn.pipeline(),
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conn.cursor(binary=True, row_factory=dict_row) as cur,
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):
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yield cur
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else:
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# Use connection's transaction context manager when pipeline mode not supported
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with self.lock, conn.transaction(), conn.cursor(
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binary=True, row_factory=dict_row
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) as cur:
|
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with (
|
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self.lock,
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conn.transaction(),
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conn.cursor(binary=True, row_factory=dict_row) as cur,
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):
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yield cur
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else:
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with self.lock, conn.cursor(binary=True, row_factory=dict_row) as cur:
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yield cur
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__all__ = ["PostgresSaver", "Conn"]
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__all__ = ["PostgresSaver", "BasePostgresSaver", "Conn"]
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@@ -1,7 +1,8 @@
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"""Shared async utility functions for the Postgres checkpoint & storage classes."""
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from collections.abc import AsyncIterator
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from contextlib import asynccontextmanager
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from typing import AsyncIterator, Union
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from typing import Union
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|
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from psycopg import AsyncConnection
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from psycopg.rows import DictRow
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|
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@@ -1,7 +1,8 @@
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"""Shared utility functions for the Postgres checkpoint & storage classes."""
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|
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from collections.abc import Iterator
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from contextlib import contextmanager
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from typing import Iterator, Union
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from typing import Union
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||||
|
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from psycopg import Connection
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from psycopg.rows import DictRow
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|
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@@ -1,6 +1,7 @@
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import asyncio
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from collections.abc import AsyncIterator, Iterator, Sequence
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from contextlib import asynccontextmanager
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from typing import Any, AsyncIterator, Iterator, Optional, Sequence
|
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from typing import Any, Optional
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|
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from langchain_core.runnables import RunnableConfig
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from psycopg import AsyncConnection, AsyncCursor, AsyncPipeline, Capabilities
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@@ -21,6 +22,8 @@ from langgraph.checkpoint.postgres import _ainternal
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from langgraph.checkpoint.postgres.base import BasePostgresSaver
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from langgraph.checkpoint.serde.base import SerializerProtocol
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Conn = _ainternal.Conn # For backward compatibility
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|
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|
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class AsyncPostgresSaver(BasePostgresSaver):
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lock: asyncio.Lock
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@@ -66,9 +69,9 @@ class AsyncPostgresSaver(BasePostgresSaver):
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) as conn:
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if pipeline:
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async with conn.pipeline() as pipe:
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yield AsyncPostgresSaver(conn=conn, pipe=pipe, serde=serde)
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yield cls(conn=conn, pipe=pipe, serde=serde)
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else:
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yield AsyncPostgresSaver(conn=conn, serde=serde)
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yield cls(conn=conn, serde=serde)
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async def setup(self) -> None:
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"""Set up the checkpoint database asynchronously.
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@@ -143,15 +146,17 @@ class AsyncPostgresSaver(BasePostgresSaver):
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value["pending_sends"],
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),
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self._load_metadata(value["metadata"]),
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{
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"configurable": {
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"thread_id": value["thread_id"],
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"checkpoint_ns": value["checkpoint_ns"],
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"checkpoint_id": value["parent_checkpoint_id"],
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(
|
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{
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"configurable": {
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"thread_id": value["thread_id"],
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"checkpoint_ns": value["checkpoint_ns"],
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"checkpoint_id": value["parent_checkpoint_id"],
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}
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}
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}
|
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if value["parent_checkpoint_id"]
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else None,
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if value["parent_checkpoint_id"]
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else None
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),
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await asyncio.to_thread(self._load_writes, value["pending_writes"]),
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)
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@@ -202,15 +207,17 @@ class AsyncPostgresSaver(BasePostgresSaver):
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value["pending_sends"],
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),
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self._load_metadata(value["metadata"]),
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{
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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": value["parent_checkpoint_id"],
|
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(
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{
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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": value["parent_checkpoint_id"],
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}
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}
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}
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if value["parent_checkpoint_id"]
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else None,
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if value["parent_checkpoint_id"]
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else None
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),
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await asyncio.to_thread(self._load_writes, value["pending_writes"]),
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)
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@@ -332,20 +339,25 @@ class AsyncPostgresSaver(BasePostgresSaver):
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# a connection not in pipeline mode can only be used by one
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||||
# thread/coroutine at a time, so we acquire a lock
|
||||
if self.supports_pipeline:
|
||||
async with self.lock, conn.pipeline(), conn.cursor(
|
||||
binary=True, row_factory=dict_row
|
||||
) as cur:
|
||||
async with (
|
||||
self.lock,
|
||||
conn.pipeline(),
|
||||
conn.cursor(binary=True, row_factory=dict_row) as cur,
|
||||
):
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yield cur
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||||
else:
|
||||
# Use connection's transaction context manager when pipeline mode not supported
|
||||
async with self.lock, conn.transaction(), conn.cursor(
|
||||
binary=True, row_factory=dict_row
|
||||
) as cur:
|
||||
async with (
|
||||
self.lock,
|
||||
conn.transaction(),
|
||||
conn.cursor(binary=True, row_factory=dict_row) as cur,
|
||||
):
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yield cur
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||||
else:
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async with self.lock, conn.cursor(
|
||||
binary=True, row_factory=dict_row
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||||
) as cur:
|
||||
async with (
|
||||
self.lock,
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conn.cursor(binary=True, row_factory=dict_row) as cur,
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||||
):
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yield cur
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|
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def list(
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@@ -374,7 +386,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
while True:
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try:
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yield asyncio.run_coroutine_threadsafe(
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anext(aiter_),
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anext(aiter_), # noqa: F821
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||||
self.loop,
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).result()
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except StopAsyncIteration:
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@@ -453,3 +465,6 @@ class AsyncPostgresSaver(BasePostgresSaver):
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||||
return asyncio.run_coroutine_threadsafe(
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||||
self.aput_writes(config, writes, task_id), self.loop
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||||
).result()
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||||
|
||||
|
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__all__ = ["AsyncPostgresSaver", "Conn"]
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||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import random
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||||
from typing import Any, List, Optional, Sequence, Tuple, cast
|
||||
from collections.abc import Sequence
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||||
from typing import Any, Optional, cast
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
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from psycopg.types.json import Jsonb
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@@ -249,7 +250,7 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
|
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config: Optional[RunnableConfig],
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||||
filter: MetadataInput,
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before: Optional[RunnableConfig] = None,
|
||||
) -> Tuple[str, List[Any]]:
|
||||
) -> tuple[str, list[Any]]:
|
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"""Return WHERE clause predicates for alist() given config, filter, before.
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This method returns a tuple of a string and a tuple of values. The string
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|
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@@ -1,13 +1,11 @@
|
||||
import asyncio
|
||||
import logging
|
||||
from collections.abc import AsyncIterator, Iterable, Sequence
|
||||
from contextlib import asynccontextmanager
|
||||
from typing import (
|
||||
Any,
|
||||
AsyncIterator,
|
||||
Callable,
|
||||
Iterable,
|
||||
Optional,
|
||||
Sequence,
|
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Union,
|
||||
cast,
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||||
)
|
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@@ -32,6 +30,7 @@ from langgraph.store.base.batch import AsyncBatchedBaseStore
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from langgraph.store.postgres.base import (
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BasePostgresStore,
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EmbeddingConfig,
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PoolConfig,
|
||||
Row,
|
||||
_decode_ns_bytes,
|
||||
_group_ops,
|
||||
@@ -241,14 +240,18 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
|
||||
# a connection not in pipeline mode can only be used by one
|
||||
# thread/coroutine at a time, so we acquire a lock
|
||||
if self.supports_pipeline:
|
||||
async with self.lock, conn.pipeline(), conn.cursor(
|
||||
binary=True, row_factory=dict_row
|
||||
) as cur:
|
||||
async with (
|
||||
self.lock,
|
||||
conn.pipeline(),
|
||||
conn.cursor(binary=True, row_factory=dict_row) as cur,
|
||||
):
|
||||
yield cur
|
||||
else:
|
||||
async with self.lock, conn.transaction(), conn.cursor(
|
||||
binary=True, row_factory=dict_row
|
||||
) as cur:
|
||||
async with (
|
||||
self.lock,
|
||||
conn.transaction(),
|
||||
conn.cursor(binary=True, row_factory=dict_row) as cur,
|
||||
):
|
||||
yield cur
|
||||
else:
|
||||
async with conn.cursor(binary=True, row_factory=dict_row) as cur:
|
||||
@@ -264,9 +267,7 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
|
||||
conn_string: str,
|
||||
*,
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||||
pipeline: bool = False,
|
||||
min_size: int = 1,
|
||||
max_size: Optional[int] = None,
|
||||
use_pool: bool = False,
|
||||
pool_config: Optional[PoolConfig] = None,
|
||||
embedding: Optional[EmbeddingConfig] = None,
|
||||
) -> AsyncIterator["AsyncPostgresStore"]:
|
||||
"""Create a new AsyncPostgresStore instance from a connection string.
|
||||
@@ -274,26 +275,29 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
|
||||
Args:
|
||||
conn_string (str): The Postgres connection info string.
|
||||
pipeline (bool): Whether to use AsyncPipeline (only for single connections)
|
||||
min_size (int): Minimum number of connections when using a pool
|
||||
max_size (Optional[int]): Maximum number of connections when using a pool
|
||||
use_pool (bool): Whether to use a connection pool
|
||||
embedding (Optional[EmbeddingConfig]): Configuration for vector embeddings
|
||||
pool_config (Optional[PoolConfig]): Configuration for the connection pool.
|
||||
If provided, will create a connection pool and use it instead of a single connection.
|
||||
This overrides the `pipeline` argument.
|
||||
embedding (Optional[EmbeddingConfig]): The embedding config.
|
||||
|
||||
Returns:
|
||||
AsyncPostgresStore: A new AsyncPostgresStore instance.
|
||||
"""
|
||||
if use_pool:
|
||||
if pool_config is not None:
|
||||
pc = pool_config.copy()
|
||||
async with cast(
|
||||
AsyncConnectionPool[AsyncConnection[DictRow]],
|
||||
AsyncConnectionPool(
|
||||
conn_string,
|
||||
min_size=min_size,
|
||||
max_size=max_size,
|
||||
min_size=pc.pop("min_size", 1),
|
||||
max_size=pc.pop("max_size", None),
|
||||
kwargs={
|
||||
"autocommit": True,
|
||||
"prepare_threshold": 0,
|
||||
"row_factory": dict_row,
|
||||
**(pc.pop("kwargs", None) or {}),
|
||||
},
|
||||
**cast(dict, pc),
|
||||
),
|
||||
) as pool:
|
||||
yield cls(conn=pool, embedding=embedding)
|
||||
|
||||
@@ -3,20 +3,15 @@ import json
|
||||
import logging
|
||||
import threading
|
||||
from collections import defaultdict
|
||||
from collections.abc import Awaitable, Iterable, Iterator, Sequence
|
||||
from contextlib import contextmanager
|
||||
from dataclasses import dataclass
|
||||
from datetime import datetime
|
||||
from typing import (
|
||||
Any,
|
||||
Awaitable,
|
||||
Callable,
|
||||
Generic,
|
||||
Iterable,
|
||||
Iterator,
|
||||
List,
|
||||
Optional,
|
||||
Sequence,
|
||||
Type,
|
||||
TypeVar,
|
||||
Union,
|
||||
cast,
|
||||
@@ -28,6 +23,7 @@ from psycopg import Capabilities, Connection, Cursor, Pipeline
|
||||
from psycopg.errors import UndefinedTable
|
||||
from psycopg.rows import DictRow, dict_row
|
||||
from psycopg.types.json import Jsonb
|
||||
from psycopg_pool import ConnectionPool
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.checkpoint.postgres import _ainternal as _ainternal
|
||||
@@ -177,6 +173,31 @@ CREATE INDEX IF NOT EXISTS store_vectors_embedding_idx ON store_vectors
|
||||
C = TypeVar("C", bound=Union[_pg_internal.Conn, _ainternal.Conn])
|
||||
|
||||
|
||||
class PoolConfig(TypedDict, total=False):
|
||||
"""Connection pool settings for PostgreSQL connections.
|
||||
|
||||
Controls connection lifecycle and resource utilization:
|
||||
- Small pools (1-5) suit low-concurrency workloads
|
||||
- Larger pools handle concurrent requests but consume more resources
|
||||
- Setting max_size prevents resource exhaustion under load
|
||||
"""
|
||||
|
||||
min_size: int
|
||||
"""Minimum number of connections maintained in the pool. Defaults to 1."""
|
||||
|
||||
max_size: Optional[int]
|
||||
"""Maximum number of connections allowed in the pool. None means unlimited."""
|
||||
|
||||
kwargs: dict
|
||||
"""Additional connection arguments passed to each connection in the pool.
|
||||
|
||||
Default kwargs set automatically:
|
||||
- autocommit: True
|
||||
- prepare_threshold: 0
|
||||
- row_factory: dict_row
|
||||
"""
|
||||
|
||||
|
||||
class BasePostgresStore(Generic[C]):
|
||||
MIGRATIONS = MIGRATIONS
|
||||
conn: C
|
||||
@@ -459,6 +480,7 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
|
||||
conn_string: str,
|
||||
*,
|
||||
pipeline: bool = False,
|
||||
pool_config: Optional[PoolConfig] = None,
|
||||
embedding: Optional[EmbeddingConfig] = None,
|
||||
) -> Iterator["PostgresStore"]:
|
||||
"""Create a new PostgresStore instance from a connection string.
|
||||
@@ -466,19 +488,41 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
|
||||
Args:
|
||||
conn_string (str): The Postgres connection info string.
|
||||
pipeline (bool): whether to use Pipeline
|
||||
pool_config (Optional[PoolArgs]): Configuration for the connection pool.
|
||||
If provided, will create a connection pool and use it instead of a single connection.
|
||||
This overrides the `pipeline` argument.
|
||||
embedding (Optional[EmbeddingConfig]): The embedding config.
|
||||
|
||||
Returns:
|
||||
PostgresStore: A new PostgresStore instance.
|
||||
"""
|
||||
with Connection.connect(
|
||||
conn_string, autocommit=True, prepare_threshold=0, row_factory=dict_row
|
||||
) as conn:
|
||||
if pipeline:
|
||||
with conn.pipeline() as pipe:
|
||||
yield cls(conn, pipe=pipe, embedding=embedding)
|
||||
else:
|
||||
yield cls(conn, embedding=embedding)
|
||||
if pool_config is not None:
|
||||
pc = pool_config.copy()
|
||||
with cast(
|
||||
ConnectionPool[Connection[DictRow]],
|
||||
ConnectionPool(
|
||||
conn_string,
|
||||
min_size=pc.pop("min_size", 1),
|
||||
max_size=pc.pop("max_size", None),
|
||||
kwargs={
|
||||
"autocommit": True,
|
||||
"prepare_threshold": 0,
|
||||
"row_factory": dict_row,
|
||||
**(pc.pop("kwargs", None) or {}),
|
||||
},
|
||||
**cast(dict, pc),
|
||||
),
|
||||
) as pool:
|
||||
yield cls(conn=pool, embedding=embedding)
|
||||
else:
|
||||
with Connection.connect(
|
||||
conn_string, autocommit=True, prepare_threshold=0, row_factory=dict_row
|
||||
) as conn:
|
||||
if pipeline:
|
||||
with conn.pipeline() as pipe:
|
||||
yield cls(conn, pipe=pipe, embedding=embedding)
|
||||
else:
|
||||
yield cls(conn, embedding=embedding)
|
||||
|
||||
@contextmanager
|
||||
def _cursor(self, *, pipeline: bool = False) -> Iterator[Cursor[DictRow]]:
|
||||
@@ -504,14 +548,18 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
|
||||
# a connection not in pipeline mode can only be used by one
|
||||
# thread/coroutine at a time, so we acquire a lock
|
||||
if self.supports_pipeline:
|
||||
with self.lock, conn.pipeline(), conn.cursor(
|
||||
binary=True, row_factory=dict_row
|
||||
) as cur:
|
||||
with (
|
||||
self.lock,
|
||||
conn.pipeline(),
|
||||
conn.cursor(binary=True, row_factory=dict_row) as cur,
|
||||
):
|
||||
yield cur
|
||||
else:
|
||||
with self.lock, conn.transaction(), conn.cursor(
|
||||
binary=True, row_factory=dict_row
|
||||
) as cur:
|
||||
with (
|
||||
self.lock,
|
||||
conn.transaction(),
|
||||
conn.cursor(binary=True, row_factory=dict_row) as cur,
|
||||
):
|
||||
yield cur
|
||||
else:
|
||||
with conn.cursor(binary=True, row_factory=dict_row) as cur:
|
||||
@@ -617,7 +665,7 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
|
||||
for (idx, _), (query, params) in zip(search_ops, queries):
|
||||
cur.execute(query, params)
|
||||
rows = cast(list[Row], cur.fetchall())
|
||||
items = [
|
||||
results[idx] = [
|
||||
_row_to_item(
|
||||
_decode_ns_bytes(row["prefix"]),
|
||||
row,
|
||||
@@ -626,7 +674,6 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
|
||||
)
|
||||
for row in rows
|
||||
]
|
||||
results[idx] = items
|
||||
|
||||
def _batch_list_namespaces_ops(
|
||||
self,
|
||||
@@ -726,7 +773,7 @@ def _row_to_item(
|
||||
row: Row,
|
||||
*,
|
||||
loader: Optional[Callable[[Union[bytes, orjson.Fragment]], dict[str, Any]]] = None,
|
||||
cls: Union[Type[SearchItem], Type[Item]] = Item,
|
||||
cls: Union[type[SearchItem], type[Item]] = Item,
|
||||
) -> Union[Item, SearchItem]:
|
||||
"""Convert a row from the database into an Item.
|
||||
|
||||
@@ -796,7 +843,7 @@ def _tokenize_path(path: str) -> list[str]:
|
||||
return []
|
||||
|
||||
tokens = []
|
||||
current: List[str] = []
|
||||
current: list[str] = []
|
||||
i = 0
|
||||
while i < len(path):
|
||||
char = path[i]
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from typing import AsyncIterator
|
||||
from collections.abc import AsyncIterator
|
||||
|
||||
import pytest
|
||||
from psycopg import AsyncConnection
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
# type: ignore
|
||||
import sys
|
||||
import uuid
|
||||
from typing import AsyncIterator
|
||||
from collections.abc import AsyncIterator
|
||||
|
||||
import pytest
|
||||
from conftest import DEFAULT_URI # type: ignore
|
||||
@@ -43,9 +43,8 @@ async def store(request) -> AsyncIterator[AsyncPostgresStore]:
|
||||
yield store
|
||||
elif request.param == "pool":
|
||||
async with AsyncPostgresStore.from_conn_string(
|
||||
conn_string, use_pool=True, max_size=10
|
||||
conn_string, pool_config={"min_size": 1, "max_size": 10}
|
||||
) as store:
|
||||
await store.setup()
|
||||
yield store
|
||||
else: # default
|
||||
async with AsyncPostgresStore.from_conn_string(conn_string) as store:
|
||||
|
||||
@@ -7,7 +7,6 @@ import pytest
|
||||
from conftest import DEFAULT_URI # type: ignore
|
||||
from langchain_core.embeddings import Embeddings
|
||||
from psycopg import Connection
|
||||
from psycopg_pool import ConnectionPool
|
||||
from utils import CharacterEmbeddings
|
||||
|
||||
from langgraph.store.base import (
|
||||
@@ -45,10 +44,9 @@ def store(request) -> PostgresStore:
|
||||
with PostgresStore.from_conn_string(conn_string, pipeline=True) as store:
|
||||
yield store
|
||||
elif request.param == "pool":
|
||||
with ConnectionPool(
|
||||
conn_string, max_size=10, kwargs={"autocommit": True}
|
||||
) as pool:
|
||||
store = PostgresStore(pool)
|
||||
with PostgresStore.from_conn_string(
|
||||
conn_string, pool_config={"min_size": 1, "max_size": 10}
|
||||
) as store:
|
||||
yield store
|
||||
else: # default
|
||||
with PostgresStore.from_conn_string(conn_string) as store:
|
||||
@@ -566,7 +564,7 @@ def test_extract_text_by_path():
|
||||
assert _extract_text_by_path(nested_data, "empty_dict") == ["{}"]
|
||||
|
||||
zeros = _extract_text_by_path(nested_data, "zeros[*]")
|
||||
assert set(zeros) == {"0", "0.0", "0"}
|
||||
assert set(zeros) == {"0", "0.0"}
|
||||
|
||||
assert _extract_text_by_path(nested_data, "items[].value") == []
|
||||
assert _extract_text_by_path(nested_data, "items[abc].value") == []
|
||||
|
||||
Reference in New Issue
Block a user