Files
langgraph/libs/checkpoint/langgraph/store/base/batch.py
T

177 lines
5.0 KiB
Python

import asyncio
import weakref
from typing import Any, Literal, Optional, Union
from langgraph.store.base import (
BaseStore,
GetOp,
Item,
ListNamespacesOp,
MatchCondition,
NamespacePath,
Op,
PutOp,
SearchItem,
SearchOp,
_validate_namespace,
)
class AsyncBatchedBaseStore(BaseStore):
"""Efficiently batch operations in a background task."""
__slots__ = ("_loop", "_aqueue", "_task")
def __init__(self) -> None:
self._loop = asyncio.get_running_loop()
self._aqueue: dict[asyncio.Future, Op] = {}
self._task = self._loop.create_task(_run(self._aqueue, weakref.ref(self)))
def __del__(self) -> None:
self._task.cancel()
async def aget(
self,
namespace: tuple[str, ...],
key: str,
) -> Optional[Item]:
fut = self._loop.create_future()
self._aqueue[fut] = GetOp(namespace, key)
return await fut
async def asearch(
self,
namespace_prefix: tuple[str, ...],
/,
*,
query: Optional[str] = None,
filter: Optional[dict[str, Any]] = None,
limit: int = 10,
offset: int = 0,
) -> list[SearchItem]:
fut = self._loop.create_future()
self._aqueue[fut] = SearchOp(namespace_prefix, filter, limit, offset, query)
return await fut
async def aput(
self,
namespace: tuple[str, ...],
key: str,
value: dict[str, Any],
index: Optional[Union[Literal[False], list[str]]] = None,
) -> None:
_validate_namespace(namespace)
fut = self._loop.create_future()
self._aqueue[fut] = PutOp(namespace, key, value, index)
return await fut
async def adelete(
self,
namespace: tuple[str, ...],
key: str,
) -> None:
fut = self._loop.create_future()
self._aqueue[fut] = PutOp(namespace, key, None)
return await fut
async def alist_namespaces(
self,
*,
prefix: Optional[NamespacePath] = None,
suffix: Optional[NamespacePath] = None,
max_depth: Optional[int] = None,
limit: int = 100,
offset: int = 0,
) -> list[tuple[str, ...]]:
fut = self._loop.create_future()
match_conditions = []
if prefix:
match_conditions.append(MatchCondition(match_type="prefix", path=prefix))
if suffix:
match_conditions.append(MatchCondition(match_type="suffix", path=suffix))
op = ListNamespacesOp(
match_conditions=tuple(match_conditions),
max_depth=max_depth,
limit=limit,
offset=offset,
)
self._aqueue[fut] = op
return await fut
def _dedupe_ops(values: list[Op]) -> tuple[Optional[list[int]], list[Op]]:
"""Dedupe operations while preserving order for results.
Args:
values: List of operations to dedupe
Returns:
Tuple of (listen indices, deduped operations)
where listen indices map deduped operation results back to original positions
"""
if len(values) <= 1:
return None, list(values)
dedupped: list[Op] = []
listen: list[int] = []
puts: dict[tuple[tuple[str, ...], str], int] = {}
for op in values:
if isinstance(op, (GetOp, SearchOp, ListNamespacesOp)):
try:
listen.append(dedupped.index(op))
except ValueError:
listen.append(len(dedupped))
dedupped.append(op)
elif isinstance(op, PutOp):
putkey = (op.namespace, op.key)
if putkey in puts:
# Overwrite previous put
ix = puts[putkey]
dedupped[ix] = op
listen.append(ix)
else:
puts[putkey] = len(dedupped)
listen.append(len(dedupped))
dedupped.append(op)
else: # Any new ops will be treated regularly
listen.append(len(dedupped))
dedupped.append(op)
return listen, dedupped
async def _run(
aqueue: dict[asyncio.Future, Op], store: weakref.ReferenceType[BaseStore]
) -> None:
while True:
await asyncio.sleep(0)
if not aqueue:
continue
if s := store():
# get the operations to run
taken = aqueue.copy()
# action each operation
try:
values = list(taken.values())
listen, dedupped = _dedupe_ops(values)
results = await s.abatch(dedupped)
if listen is not None:
results = [results[ix] for ix in listen]
# set the results of each operation
for fut, result in zip(taken, results):
fut.set_result(result)
except Exception as e:
for fut in taken:
fut.set_exception(e)
# remove the operations from the queue
for fut in taken:
del aqueue[fut]
else:
break
# remove strong ref to store
del s