fix(checkpoint-postgres): find plain-value seeds when walking delta history (#8535)

Fixes langchain-ai/langgraph#8534

`put` splits stored values in two: primitives stay inline in the
checkpoint's `channel_values`, everything else moves to
`checkpoint_blobs`, and only `_DeltaSnapshot` leaves an inline marker
behind when it moves. Stage-1 seed detection tested for that marker, so
a plain value — what a thread migrated from `BinaryOperatorAggregate`
leaves behind — was invisible to the walk.

### Effect

Migrated threads found no seed, walked to the root, and replayed every
write on every read. Values still came out correct, because replaying an
additive reducer from empty rebuilds the same list, which is why nothing
looked wrong. What was lost is early termination — the entire point of
`DeltaChannel`:

<!-- linear:table-colwidths:266,266,266 -->
| thread length | writes replayed, before | after |
| -- | -- | -- |
| 2 turns | 3 | 1 |
| 6 turns | 7 | 1 |
| 20 turns | 21 | 1 |

Read latency is flat at \~0.6ms across all three after the change.

### Approach

Stage 1 now checks both places a value can live rather than trusting the
marker. It probes `checkpoint_blobs`:

```sql
EXISTS (SELECT 1 FROM checkpoint_blobs b0
        WHERE b0.thread_id     = checkpoints.thread_id
          AND b0.checkpoint_ns = checkpoints.checkpoint_ns
          AND b0.channel       = %s
          AND b0.version       = checkpoint -> 'channel_versions' ->> %s
          AND b0.type         <> 'empty') AS hb_0
```

and selects the inline value alongside it, since `None`, `str`, `int`,
`float` and `bool` stay in `channel_values` with no blob row:

```sql
checkpoint -> 'channel_values' -> %s AS inline_0
```

The blob predicate matches `checkpoint_blobs`' primary key `(thread_id,
checkpoint_ns, channel, version)` exactly, so it is one index lookup per
row per channel, bounded by the 1024-row page.

I picked reading storage over the cheaper alternative — also writing the
marker for plain values — because **that would not fix any thread
already on disk.** Existing checkpoints have no marker and there is
nowhere to add one retroactively.

The seed resolves to the blob when one exists and the inline value
otherwise. That ordering is also what keeps a genuine inline `true` — a
`bool` channel holding `True` — distinguishable from the literal `true`
marker `put` inlines for a `_DeltaSnapshot`: only the snapshot has a
blob.

`None` is deliberately not treated as a seed; a JSON null is
indistinguishable from "nothing stored" at this layer, so the walk
continues and replay from empty is correct.

Params go from two to four per channel; both callers updated.

The inline half came out of review on this PR — a blob-only probe would
have left scalar-aggregate migrations (an integer sum, say) still
replaying their full history.

### On the `type <> 'empty'` predicate

Being upfront since it isn't demonstrable with a test: `put` does not
currently produce `empty` rows on this path — `blob_versions` is
filtered to keys present in `channel_values`, so `_dump_blobs`' empty
branch is unreachable from it. I confirmed there are no `empty` rows in
a populated test database.

I kept it because stage 2 already applies the same check when resolving
the seed blob. Without it the two stages could disagree: stage 1
terminates the walk on a row stage 2 then discards, producing no seed
*and* a truncated write chain — the same failure shape this function
exists to avoid. Rationale is in the docstring so the next reader
doesn't have to ask. Happy to drop it if you'd rather not carry an
unexercised predicate.

### Tests

`libs/checkpoint-postgres/tests/test_delta_plain_value_seed.py` —
blob-stored plain-value seed, `_DeltaSnapshot` seed, a version bump with
nothing stored (which must not stop the walk short of an older real
value), inline primitives (`int`, `str`, `float`, `None`), and inline
`True` versus the snapshot marker. Each fails against the behaviour it
fixes.

Verified: postgres suite 269 passed on PG 15 and 16; delta-channel
conformance against `AsyncPostgresSaver` went from 6 of 8 to 8 of 8,
including the pre-existing `test_history_migration_plain_value_as_seed`
failure this was causing; `make lint` clean.

### Not included

I wanted a Postgres conformance runner alongside `checkpoint-sqlite`'s,
but it needs `langgraph-checkpoint-conformance` as a dev dependency and
the contributing guide asks for maintainer sign-off before adding one.
The direct tests above cover the same ground without it.

Worth flagging separately: **conformance effectively runs against**
`InMemorySaver` **only today.** `libs/checkpoint-conformance/tests/`
contains just `test_validate_memory.py`, and `checkpoint-sqlite`'s
`test_conformance_delta.py` silently skips because the package isn't
installed in its test environment (`importorskip`). Wiring it up for
sqlite and postgres is what would have caught this bug, and
langchain-ai/langgraph#8534 notes it.

Sqlite is unaffected by the bug itself — it stores `channel_values`
inline and inspects them directly. `langgraph-api` already resolves
seeds by version rather than by marker.
This commit is contained in:
Elior Nataf Lackritz
2026-08-07 09:07:04 -04:00
committed by GitHub
parent f22af6248c
commit d569e18f4b
5 changed files with 325 additions and 61 deletions
+8 -32
View File
@@ -67,24 +67,12 @@ with PostgresSaver.from_conn_string(DB_URI) as checkpointer:
"v": 4,
"ts": "2024-07-31T20:14:19.804150+00:00",
"id": "1ef4f797-8335-6428-8001-8a1503f9b875",
"channel_values": {
"my_key": "meow",
"node": "node"
},
"channel_versions": {
"__start__": 2,
"my_key": 3,
"start:node": 3,
"node": 3
},
"channel_values": {"my_key": "meow", "node": "node"},
"channel_versions": {"__start__": 2, "my_key": 3, "start:node": 3, "node": 3},
"versions_seen": {
"__input__": {},
"__start__": {
"__start__": 1
},
"node": {
"start:node": 2
}
"__start__": {"__start__": 1},
"node": {"start:node": 2},
},
}
@@ -108,24 +96,12 @@ async with AsyncPostgresSaver.from_conn_string(DB_URI) as checkpointer:
"v": 4,
"ts": "2024-07-31T20:14:19.804150+00:00",
"id": "1ef4f797-8335-6428-8001-8a1503f9b875",
"channel_values": {
"my_key": "meow",
"node": "node"
},
"channel_versions": {
"__start__": 2,
"my_key": 3,
"start:node": 3,
"node": 3
},
"channel_values": {"my_key": "meow", "node": "node"},
"channel_versions": {"__start__": 2, "my_key": 3, "start:node": 3, "node": 3},
"versions_seen": {
"__input__": {},
"__start__": {
"__start__": 1
},
"node": {
"start:node": 2
}
"__start__": {"__start__": 1},
"node": {"start:node": 2},
},
}
@@ -478,9 +478,11 @@ class PostgresSaver(BasePostgresSaver):
stage1_sql = _build_delta_stage1_sql(channels, paged=True)
parent_of: dict[str, str | None] = {}
ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
hb_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
inline_by_i_by_cid: list[dict[str, Any]] = [{} for _ in channels]
chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
seed_inline_by_ch: dict[str, Any] = {}
walk_cursor_by_ch: dict[str, str | None] = {}
seeded: set[str] = set()
cursor: str | None = None
@@ -489,7 +491,8 @@ class PostgresSaver(BasePostgresSaver):
while True:
stage1_params: list[Any] = []
for ch in channels:
stage1_params.extend([ch, ch])
# ver_i, blob channel, blob version, inline_i
stage1_params.extend([ch, ch, ch, ch])
stage1_params.extend(
[thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
)
@@ -502,16 +505,19 @@ class PostgresSaver(BasePostgresSaver):
channels,
parent_of,
ver_by_i_by_cid,
hs_by_i_by_cid,
hb_by_i_by_cid,
inline_by_i_by_cid,
)
self._try_advance_walks(
checkpoint_id,
channels,
parent_of,
ver_by_i_by_cid,
hs_by_i_by_cid,
hb_by_i_by_cid,
inline_by_i_by_cid,
chain_by_ch,
seed_ver_by_ch,
seed_inline_by_ch,
walk_cursor_by_ch,
seeded,
)
@@ -546,6 +552,7 @@ class PostgresSaver(BasePostgresSaver):
channels=channels,
chain_by_ch=chain_by_ch,
seed_ver_by_ch=seed_ver_by_ch,
seed_inline_by_ch=seed_inline_by_ch,
stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
)
@@ -426,9 +426,11 @@ class AsyncPostgresSaver(BasePostgresSaver):
stage1_sql = _build_delta_stage1_sql(channels, paged=True)
parent_of: dict[str, str | None] = {}
ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
hb_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
inline_by_i_by_cid: list[dict[str, Any]] = [{} for _ in channels]
chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
seed_inline_by_ch: dict[str, Any] = {}
walk_cursor_by_ch: dict[str, str | None] = {}
seeded: set[str] = set()
cursor: str | None = None
@@ -437,7 +439,8 @@ class AsyncPostgresSaver(BasePostgresSaver):
while True:
stage1_params: list[Any] = []
for ch in channels:
stage1_params.extend([ch, ch])
# ver_i, blob channel, blob version, inline_i
stage1_params.extend([ch, ch, ch, ch])
stage1_params.extend(
[thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
)
@@ -450,16 +453,19 @@ class AsyncPostgresSaver(BasePostgresSaver):
channels,
parent_of,
ver_by_i_by_cid,
hs_by_i_by_cid,
hb_by_i_by_cid,
inline_by_i_by_cid,
)
self._try_advance_walks(
checkpoint_id,
channels,
parent_of,
ver_by_i_by_cid,
hs_by_i_by_cid,
hb_by_i_by_cid,
inline_by_i_by_cid,
chain_by_ch,
seed_ver_by_ch,
seed_inline_by_ch,
walk_cursor_by_ch,
seeded,
)
@@ -490,6 +496,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
channels=channels,
chain_by_ch=chain_by_ch,
seed_ver_by_ch=seed_ver_by_ch,
seed_inline_by_ch=seed_inline_by_ch,
stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
)
@@ -199,27 +199,68 @@ class _DeltaStage2Row(TypedDict, total=False):
def _build_delta_stage1_sql(channels: Sequence[str], *, paged: bool) -> str:
"""Build stage 1 SQL with 2K parallel JSONB key lookups.
"""Build stage 1 SQL with K parallel version lookups + seed probes.
For channels=["messages", "files"] (with `paged=True`) the result is::
SELECT checkpoint_id, parent_checkpoint_id,
checkpoint -> 'channel_versions' ->> %s AS ver_0,
(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_0,
EXISTS (SELECT 1 FROM checkpoint_blobs b0
WHERE b0.thread_id = checkpoints.thread_id
AND b0.checkpoint_ns = checkpoints.checkpoint_ns
AND b0.channel = %s
AND b0.version = checkpoint -> 'channel_versions' ->> %s
AND b0.type <> 'empty') AS hb_0,
checkpoint -> 'channel_values' -> %s AS inline_0,
checkpoint -> 'channel_versions' ->> %s AS ver_1,
(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_1
EXISTS (...) AS hb_1,
checkpoint -> 'channel_values' -> %s AS inline_1
FROM checkpoints
WHERE thread_id = %s AND checkpoint_ns = %s
AND (%s::text IS NULL OR checkpoint_id < %s)
ORDER BY checkpoint_id DESC
LIMIT %s
Channel names are passed as `%s` parameters (safe from SQL injection).
Only the column aliases `ver_i` / `hs_i` are interpolated into the
SQL string (i is bounded by len(channels) and uses safe identifiers).
A stored value for a channel lives in one of two places, because `put`
splits them:
Caller must extend params with `[ch_0, ch_0, ch_1, ch_1, ...,
thread_id, ns, cursor, cursor, page_size]` when `paged=True`.
* **blob** — non-primitive values (and `_DeltaSnapshot`) are moved to
`checkpoint_blobs`. `hb_i` ("has blob") probes for one. The probe hits
that table's primary key `(thread_id, checkpoint_ns, channel, version)`
exactly, so it is an index lookup per row per channel.
* **inline** — `None`, `str`, `int`, `float` and `bool` stay in the
checkpoint's own `channel_values` and get no blob row at all. `inline_i`
returns that value.
Testing only for a key in `channel_values` (the previous approach) missed
blob-stored plain values, since `put` leaves an inline marker there for
`_DeltaSnapshot` but not for a plain value — which is what a thread
migrated from a pre-delta channel type leaves behind. Probing only the
blobs table would conversely miss inline primitives. Both are needed, and
the caller treats "either present" as the seed.
`hb_i` also disambiguates the two: for a `_DeltaSnapshot`, `inline_i` is the
literal `true` marker rather than the value, so a blob must win over an
inline reading whenever one exists. That ordering is what makes a genuine
inline `true` (a bool channel) distinguishable from the marker.
The `type <> 'empty'` predicate mirrors the check stage 2 already applies
when resolving the seed blob. `put` does not currently produce `empty` rows
on this path — `blob_versions` is filtered to keys present in
`channel_values`, so `_dump_blobs`' empty branch is unreachable from it —
but without the predicate the two stages could disagree: stage 1 would
terminate the walk on a row stage 2 then discards, yielding no seed *and* a
truncated write chain, which is the failure this function exists to avoid.
Channel names are passed as `%s` parameters (safe from SQL injection).
Only the column aliases `ver_i` / `hb_i` / `inline_i` and the subquery alias
`b{i}` are interpolated into the SQL string (i is bounded by len(channels)
and uses safe identifiers).
Caller must extend params with `[ch_0 x4, ch_1 x4, ..., thread_id, ns,
cursor, cursor, page_size]` when `paged=True` — four per channel: the
version lookup, the blob's channel, the version the blob must match, and the
inline lookup.
When `paged=False`, the WHERE has no cursor predicate and there's no
LIMIT/ORDER BY — kept as a non-public helper for tests/diagnostics.
@@ -228,7 +269,13 @@ def _build_delta_stage1_sql(channels: Sequence[str], *, paged: bool) -> str:
for i in range(len(channels)):
cols.append(
f"checkpoint -> 'channel_versions' ->> %s AS ver_{i}, "
f"(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_{i}"
f"EXISTS (SELECT 1 FROM checkpoint_blobs b{i} "
f"WHERE b{i}.thread_id = checkpoints.thread_id "
f"AND b{i}.checkpoint_ns = checkpoints.checkpoint_ns "
f"AND b{i}.channel = %s "
f"AND b{i}.version = checkpoint -> 'channel_versions' ->> %s "
f"AND b{i}.type <> 'empty') AS hb_{i}, "
f"checkpoint -> 'channel_values' -> %s AS inline_{i}"
)
sql = (
"SELECT checkpoint_id, parent_checkpoint_id, "
@@ -342,7 +389,8 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
channels: Sequence[str],
parent_of: dict[str, str | None],
ver_by_i_by_cid: list[dict[str, str | None]],
hs_by_i_by_cid: list[dict[str, bool]],
hb_by_i_by_cid: list[dict[str, bool]],
inline_by_i_by_cid: list[dict[str, Any]],
) -> str | None:
"""Fold one stage-1 page into the running walk-state mappings.
@@ -356,7 +404,8 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
parent_of[cid] = cast("str | None", r["parent_checkpoint_id"])
for i in range(len(channels)):
ver_by_i_by_cid[i][cid] = cast("str | None", r.get(f"ver_{i}"))
hs_by_i_by_cid[i][cid] = bool(r.get(f"hs_{i}"))
hb_by_i_by_cid[i][cid] = bool(r.get(f"hb_{i}"))
inline_by_i_by_cid[i][cid] = r.get(f"inline_{i}")
# Rows are DESC; the last one is the smallest cid in the page.
oldest = cid
return oldest
@@ -367,9 +416,11 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
channels: Sequence[str],
parent_of: Mapping[str, str | None],
ver_by_i_by_cid: Sequence[Mapping[str, str | None]],
hs_by_i_by_cid: Sequence[Mapping[str, bool]],
hb_by_i_by_cid: Sequence[Mapping[str, bool]],
inline_by_i_by_cid: Sequence[Mapping[str, Any]],
chain_by_ch: dict[str, list[str]],
seed_ver_by_ch: dict[str, str | None],
seed_inline_by_ch: dict[str, Any],
walk_cursor_by_ch: dict[str, str | None],
seeded: set[str],
) -> None:
@@ -377,14 +428,15 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
Uses the partial `parent_of` map accumulated so far. A walk stops
either because:
(a) it found a snapshot for its channel (channel becomes seeded),
(a) it found a stored value for its channel — a blob or an inline
primitive (channel becomes seeded),
(b) it reached a real root (parent_of[cid] is None — fully
materialized at this point), or
(c) the next ancestor cid isn't in `parent_of` yet (waiting for
a later page; the cursor stays put).
Mutates `chain_by_ch`, `seed_ver_by_ch`, `walk_cursor_by_ch`, and
`seeded` in place.
Mutates `chain_by_ch`, `seed_ver_by_ch`, `seed_inline_by_ch`,
`walk_cursor_by_ch`, and `seeded` in place.
"""
for i, ch in enumerate(channels):
if ch in seeded:
@@ -394,15 +446,22 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
walk_cursor_by_ch[ch] = parent_of.get(target_id)
cur_cid = walk_cursor_by_ch[ch]
ch_chain = chain_by_ch[ch]
hs_i = hs_by_i_by_cid[i]
hb_i = hb_by_i_by_cid[i]
inline_i = inline_by_i_by_cid[i]
ver_i = ver_by_i_by_cid[i]
while cur_cid is not None:
if cur_cid not in parent_of:
# Need more pages to continue this walk.
break
ch_chain.append(cur_cid)
if hs_i.get(cur_cid, False):
has_blob = hb_i.get(cur_cid, False)
inline = inline_i.get(cur_cid)
if has_blob or inline is not None:
# A blob wins: for a `_DeltaSnapshot` the inline reading is
# the `true` marker, not the value.
seed_ver_by_ch[ch] = ver_i.get(cur_cid)
if not has_blob:
seed_inline_by_ch[ch] = inline
seeded.add(ch)
cur_cid = None
break
@@ -415,16 +474,23 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
channels: Sequence[str],
chain_by_ch: Mapping[str, list[str]],
seed_ver_by_ch: Mapping[str, str | None],
seed_inline_by_ch: Mapping[str, Any],
stage2_rows: Sequence[_DeltaStage2Row],
) -> dict[str, DeltaChannelHistory]:
"""Demux stage 2 rows per channel; produce per-channel histories.
stage2_rows carry `channel` on every row. We build per-channel
`writes_by_cid` and per-channel `seed_blob` dicts, then assemble
a `DeltaChannelHistory` per requested channel. The `seed` key is omitted
when the walk reached root with no snapshot found, or when the
seed blob is sentinel "empty" — in both cases the consumer treats
absence as "start empty".
a `DeltaChannelHistory` per requested channel.
A seed comes from the blobs table when the walk found one there, and
otherwise from `seed_inline_by_ch` — `put` keeps `None`, `str`, `int`,
`float` and `bool` values in the checkpoint's own `channel_values` with
no blob row, so those never appear in `stage2_rows`.
The `seed` key is omitted when the walk reached root without finding a
stored value, or when the seed blob is sentinel "empty" — in both cases
the consumer treats absence as "start empty".
"""
# writes_by_ch_by_cid[channel][cid] = list of (type, blob, task_id, idx)
writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
@@ -473,6 +539,10 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
blob = seed_blob_by_ver.get((ch, seed_version))
if blob is not None and blob[0] != "empty":
entry["seed"] = self.serde.loads_typed(blob)
elif ch in seed_inline_by_ch:
# Inline primitive: stored in the checkpoint, not the blobs
# table, so stage 2 never returned a row for it.
entry["seed"] = seed_inline_by_ch[ch]
result[ch] = entry
return result
@@ -0,0 +1,204 @@
"""Seed detection for `DeltaChannel` histories on Postgres.
`put` splits stored values in two: primitives stay inline in the checkpoint's
`channel_values`, everything else moves to `checkpoint_blobs`. Only
`_DeltaSnapshot` leaves an inline marker behind when it moves, so the stage-1
walk has to check both places — a blob probe alone misses inline primitives, and
an inline-key check alone missed blob-stored plain values, which is what a thread
migrated from a pre-delta channel type leaves behind. See #8534.
"""
from __future__ import annotations
from typing import Any
from uuid import uuid4
import pytest
from langgraph.checkpoint.base import Checkpoint, empty_checkpoint
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
from tests.conftest import DEFAULT_URI
CHANNEL = "items"
async def _build_chain(saver: AsyncPostgresSaver, seed_value: Any) -> tuple[str, dict]:
"""Store `seed_value` at step 1, then two steps that store nothing.
Every step carries a write so the walk has something to collect.
Returns `(thread_id, head_config)`.
"""
thread_id = str(uuid4())
parent: dict | None = None
for step in range(4):
config: dict = {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}}
if parent is not None:
config["configurable"]["checkpoint_id"] = parent["configurable"][
"checkpoint_id"
]
cp: Checkpoint = empty_checkpoint()
cp["id"] = str(uuid6(clock_seq=step))
new_versions: dict[str, Any] = {}
if step == 1:
cp["channel_values"][CHANNEL] = seed_value
cp["channel_versions"][CHANNEL] = "v1"
new_versions[CHANNEL] = "v1"
else:
cp["channel_versions"][CHANNEL] = f"v{step}"
parent = await saver.aput(
config, cp, {"source": "loop", "step": step, "parents": {}}, new_versions
)
await saver.aput_writes(parent, [(CHANNEL, f"w{step}")], str(uuid4()))
assert parent is not None
return thread_id, parent
@pytest.mark.asyncio
async def test_plain_value_seed_is_found() -> None:
"""A pre-delta plain value must be located as the seed.
Before #8534 the walk ran to the root and returned no seed, which happens
to reconstruct correctly for additive reducers while costing an
O(thread length) replay on every read.
"""
async with AsyncPostgresSaver.from_conn_string(DEFAULT_URI) as saver:
await saver.setup()
_, head = await _build_chain(saver, [10, 20])
result = await saver.aget_delta_channel_history(config=head, channels=[CHANNEL])
entry = result[CHANNEL]
assert entry.get("seed") == [10, 20], (
f"expected the plain value as seed, got {entry.get('seed', '<missing>')}"
)
# Only the writes between the seed and the head's parent replay: step 1
# (the seed's own) and step 2. Step 0 is older than the seed, step 3 is
# pending at the head.
assert [w[2] for w in entry["writes"]] == ["w1", "w2"]
@pytest.mark.asyncio
async def test_delta_snapshot_seed_is_found() -> None:
"""The `_DeltaSnapshot` path keeps working, so both seed kinds agree."""
async with AsyncPostgresSaver.from_conn_string(DEFAULT_URI) as saver:
await saver.setup()
_, head = await _build_chain(saver, _DeltaSnapshot([10, 20]))
result = await saver.aget_delta_channel_history(config=head, channels=[CHANNEL])
entry = result[CHANNEL]
seed = entry.get("seed")
assert isinstance(seed, _DeltaSnapshot), f"expected a snapshot, got {seed!r}"
assert seed.value == [10, 20]
assert [w[2] for w in entry["writes"]] == ["w1", "w2"]
@pytest.mark.asyncio
async def test_version_bump_without_a_value_does_not_hide_an_older_seed() -> None:
"""A delta-era step bumps `channel_versions` without storing a value, so no
blob exists for that version. The probe must report no seed there and keep
walking rather than stopping at a version it cannot resolve.
Step 0 holds the real value; step 1 bumps the version with nothing stored.
Walking back from the head has to pass step 1 to reach step 0.
"""
async with AsyncPostgresSaver.from_conn_string(DEFAULT_URI) as saver:
await saver.setup()
thread_id = str(uuid4())
parent: dict | None = None
for step in range(4):
config: dict = {
"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}
}
if parent is not None:
config["configurable"]["checkpoint_id"] = parent["configurable"][
"checkpoint_id"
]
cp: Checkpoint = empty_checkpoint()
cp["id"] = str(uuid6(clock_seq=step))
new_versions: dict[str, Any] = {}
if step == 0:
cp["channel_values"][CHANNEL] = [10, 20]
cp["channel_versions"][CHANNEL] = "v0"
new_versions[CHANNEL] = "v0"
elif step == 1:
# Version bumped, value absent -> no blob row written.
cp["channel_versions"][CHANNEL] = "v1"
new_versions[CHANNEL] = "v1"
else:
cp["channel_versions"][CHANNEL] = "v1"
parent = await saver.aput(
config,
cp,
{"source": "loop", "step": step, "parents": {}},
new_versions,
)
await saver.aput_writes(parent, [(CHANNEL, f"w{step}")], str(uuid4()))
assert parent is not None
result = await saver.aget_delta_channel_history(
config=parent, channels=[CHANNEL]
)
entry = result[CHANNEL]
assert entry.get("seed") == [10, 20], (
"the walk stopped at the empty blob instead of reaching the real "
f"value at step 0; got {entry.get('seed', '<missing>')}"
)
assert [w[2] for w in entry["writes"]] == ["w0", "w1", "w2"]
@pytest.mark.asyncio
async def test_inline_primitive_seed_is_found() -> None:
"""`put` keeps `None`, `str`, `int`, `float` and `bool` in the checkpoint's
own `channel_values` with no blob row, so a blob probe alone cannot see
them. Stage 1 reads the inline value too and uses it when there is no blob.
"""
async with AsyncPostgresSaver.from_conn_string(DEFAULT_URI) as saver:
await saver.setup()
for seed_value in (42, "x", 3.5, None):
_, head = await _build_chain(saver, seed_value)
entry = (
await saver.aget_delta_channel_history(config=head, channels=[CHANNEL])
)[CHANNEL]
if seed_value is None:
# A JSON null is indistinguishable from "no value stored", so
# the walk keeps going; replay from empty is the correct result.
assert "seed" not in entry
else:
assert entry.get("seed") == seed_value, (
f"inline {type(seed_value).__name__} seed not found: "
f"{entry.get('seed', '<missing>')!r}"
)
assert [w[2] for w in entry["writes"]] == ["w1", "w2"]
@pytest.mark.asyncio
async def test_inline_true_is_not_read_as_a_snapshot_marker() -> None:
"""`put` inlines a literal `true` in `channel_values` as the marker for a
`_DeltaSnapshot`, which is also what a genuine `bool` channel holding
`True` looks like. A blob exists only in the snapshot case, so preferring
the blob keeps the two apart.
"""
async with AsyncPostgresSaver.from_conn_string(DEFAULT_URI) as saver:
await saver.setup()
_, head = await _build_chain(saver, True)
entry = (
await saver.aget_delta_channel_history(config=head, channels=[CHANNEL])
)[CHANNEL]
assert entry.get("seed") is True, (
f"a real inline True must survive, got {entry.get('seed', '<missing>')!r}"
)
_, snap_head = await _build_chain(saver, _DeltaSnapshot(True))
snap_entry = (
await saver.aget_delta_channel_history(config=snap_head, channels=[CHANNEL])
)[CHANNEL]
seed = snap_entry.get("seed")
assert isinstance(seed, _DeltaSnapshot), (
f"the marker must resolve to the blob, not inline true; got {seed!r}"
)
assert seed.value is True