mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-09-29 21:15:11 +02:00
feat(checkpoint/postgres): diff chain reconstruction in async saver
Add `_load_diff_chains_async` to `AsyncPostgresSaver` and override `_load_checkpoint_tuple` to inline blob-parsing and diff-chain resolution via async point-lookup traversal, mirroring the sync `PostgresSaver._load_diff_chains` implementation. Add integration test `test_diff_channel_chain_reconstruction` that skips gracefully when `langgraph` core is not installed. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
co-authored by
Claude Sonnet 4.6
parent
f5b27e8cda
commit
afc2e12201
@@ -391,6 +391,45 @@ class AsyncPostgresSaver(BasePostgresSaver):
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async with conn.cursor(binary=True, row_factory=dict_row) as cur:
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yield cur
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async def _load_diff_chains_async(
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self,
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thread_id: str,
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checkpoint_ns: str,
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diff_channel_payloads: dict[str, dict[str, Any]],
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) -> dict[str, Any]:
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from langgraph.checkpoint.base import DiffChainValue
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result: dict[str, Any] = {}
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async with self._cursor() as cur:
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for channel, current_payload in diff_channel_payloads.items():
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payloads: list[dict[str, Any]] = [current_payload]
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version_cursor: str | None = current_payload["p"]
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base: list[Any] | None = None
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while version_cursor is not None:
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await cur.execute(
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"SELECT type, blob FROM checkpoint_blobs "
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"WHERE thread_id = %s AND checkpoint_ns = %s "
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"AND channel = %s AND version = %s",
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(thread_id, checkpoint_ns, channel, version_cursor),
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)
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row = await cur.fetchone()
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if row is None:
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break
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if row["type"] == "diff":
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payload = self.serde.loads_typed(("diff", row["blob"]))
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payloads.append(payload)
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version_cursor = payload["p"]
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else:
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base = self.serde.loads_typed((row["type"], row["blob"]))
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break
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payloads.reverse()
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result[channel] = DiffChainValue(
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base=base, deltas=[p["d"] for p in payloads]
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)
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return result
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async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
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"""
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Convert a database row into a CheckpointTuple object.
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@@ -403,11 +442,32 @@ class AsyncPostgresSaver(BasePostgresSaver):
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including its configuration, metadata, parent checkpoint (if any),
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and pending writes.
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"""
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thread_id = value["thread_id"]
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checkpoint_ns = value["checkpoint_ns"]
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blob_values = value["channel_values"]
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non_diff: dict[str, Any] = {}
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diff_payloads: dict[str, dict[str, Any]] = {}
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if blob_values:
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for k, t, v in blob_values:
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channel = k.decode()
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type_tag = t.decode()
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if type_tag == "diff":
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diff_payloads[channel] = self.serde.loads_typed((type_tag, v))
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elif type_tag != "empty":
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non_diff[channel] = self.serde.loads_typed((type_tag, v))
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diff_values = (
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await self._load_diff_chains_async(thread_id, checkpoint_ns, diff_payloads)
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if diff_payloads
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else {}
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)
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return CheckpointTuple(
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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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"thread_id": thread_id,
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"checkpoint_ns": checkpoint_ns,
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"checkpoint_id": value["checkpoint_id"],
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}
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},
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@@ -415,15 +475,16 @@ class AsyncPostgresSaver(BasePostgresSaver):
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**value["checkpoint"],
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"channel_values": {
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**(value["checkpoint"].get("channel_values") or {}),
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**self._load_blobs(value["channel_values"]),
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**non_diff,
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**diff_values,
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},
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},
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value["metadata"],
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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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"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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