1955 lines
79 KiB
Python

from __future__ import annotations
import asyncio
import binascii
import concurrent.futures
from collections import defaultdict, deque
from collections.abc import Callable, Iterator, Mapping, Sequence
from contextlib import (
AbstractAsyncContextManager,
AbstractContextManager,
AsyncExitStack,
ExitStack,
)
from datetime import datetime, timezone
from inspect import signature
from types import TracebackType
from typing import (
Any,
Literal,
TypeVar,
cast,
)
from langchain_core.callbacks import AsyncParentRunManager, ParentRunManager
from langchain_core.runnables import RunnableConfig
from langgraph.cache.base import BaseCache
from langgraph.checkpoint.base import (
WRITES_IDX_MAP,
BaseCheckpointSaver,
ChannelVersions,
Checkpoint,
CheckpointMetadata,
CheckpointTuple,
PendingWrite,
)
from langgraph.store.base import BaseStore
from typing_extensions import ParamSpec, Self
from langgraph._internal._config import patch_configurable
from langgraph._internal._constants import (
CONF,
CONFIG_KEY_CHECKPOINT_ID,
CONFIG_KEY_CHECKPOINT_MAP,
CONFIG_KEY_CHECKPOINT_NS,
CONFIG_KEY_REPLAY_STATE,
CONFIG_KEY_RESUME_MAP,
CONFIG_KEY_RESUMING,
CONFIG_KEY_RUNTIME,
CONFIG_KEY_SCRATCHPAD,
CONFIG_KEY_STREAM,
CONFIG_KEY_TASK_ID,
CONFIG_KEY_THREAD_ID,
ERROR,
ERROR_SOURCE_NODE,
INPUT,
INTERRUPT,
NS_END,
NS_SEP,
NULL_TASK_ID,
PUSH,
RESUME,
TASKS,
)
from langgraph._internal._replay import ReplayState
from langgraph._internal._scratchpad import PregelScratchpad
from langgraph._internal._typing import EMPTY_SEQ, MISSING
from langgraph.callbacks import (
GraphInterruptEvent,
GraphLifecycleEvent,
GraphResumeEvent,
)
from langgraph.channels.base import BaseChannel
from langgraph.channels.delta import DeltaChannel
from langgraph.channels.untracked_value import UntrackedValue
from langgraph.constants import TAG_HIDDEN
from langgraph.errors import (
EmptyInputError,
GraphInterrupt,
)
from langgraph.managed.base import (
ManagedValueMapping,
ManagedValueSpec,
)
from langgraph.pregel._algo import (
Call,
GetNextVersion,
PregelTaskWrites,
apply_writes,
checkpoint_null_version,
increment,
prepare_next_tasks,
prepare_node_error_handler_task,
prepare_single_task,
sanitize_untracked_values_in_send,
should_interrupt,
task_path_str,
)
from langgraph.pregel._checkpoint import (
achannels_from_checkpoint,
channels_from_checkpoint,
copy_checkpoint,
create_checkpoint,
delta_channels_to_snapshot,
empty_checkpoint,
)
from langgraph.pregel._executor import (
AsyncBackgroundExecutor,
BackgroundExecutor,
Submit,
)
from langgraph.pregel._io import (
map_command,
map_input,
map_output_updates,
map_output_values,
read_channels,
)
from langgraph.pregel._read import PregelNode
from langgraph.pregel._utils import get_new_channel_versions, is_xxh3_128_hexdigest
from langgraph.pregel.debug import (
map_debug_checkpoint,
map_debug_task_results,
map_debug_tasks,
)
from langgraph.pregel.protocol import StreamChunk, StreamProtocol
from langgraph.runtime import RunControl, Runtime
from langgraph.types import (
All,
CachePolicy,
Command,
Durability,
Interrupt,
PregelExecutableTask,
RetryPolicy,
Send,
StreamMode,
)
V = TypeVar("V")
P = ParamSpec("P")
WritesT = Sequence[tuple[str, Any]]
def DuplexStream(*streams: StreamProtocol) -> StreamProtocol:
def __call__(value: StreamChunk) -> None:
for stream in streams:
if value[1] in stream.modes:
stream(value)
return StreamProtocol(__call__, {mode for s in streams for mode in s.modes})
class PregelLoop:
config: RunnableConfig
store: BaseStore | None
stream: StreamProtocol | None
step: int
stop: int
input: Any | None
cache: BaseCache[WritesT] | None
checkpointer: BaseCheckpointSaver | None
nodes: Mapping[str, PregelNode]
specs: Mapping[str, BaseChannel | ManagedValueSpec]
input_keys: str | Sequence[str]
output_keys: str | Sequence[str]
stream_keys: str | Sequence[str]
is_replaying: bool
is_nested: bool
manager: None | AsyncParentRunManager | ParentRunManager
interrupt_after: All | Sequence[str]
interrupt_before: All | Sequence[str]
durability: Durability
retry_policy: Sequence[RetryPolicy]
cache_policy: CachePolicy | None
checkpointer_get_next_version: GetNextVersion
checkpointer_put_writes: Callable[[RunnableConfig, WritesT, str], Any] | None
checkpointer_put_writes_accepts_task_path: bool
_checkpointer_put_after_previous: (
Callable[
[
concurrent.futures.Future | None,
RunnableConfig,
Checkpoint,
str,
ChannelVersions,
],
Any,
]
| None
)
_migrate_checkpoint: Callable[[Checkpoint], None] | None
submit: Submit
channels: Mapping[str, BaseChannel]
# Futures from `checkpointer.put_writes` calls that produced delta-channel
# writes. `_checkpointer_put_after_previous` drains this list (swap to a
# local `futs` then reset to `[]` and wait/gather) before putting the
# next checkpoint, so a checkpoint never becomes durable before the
# writes that produced it. Initialised to `[]` in both sync and async
# `__enter__`; stays `None` only when no checkpointer.
_delta_write_futs: list[Any] | None = None
# Same pattern as `_delta_write_futs` but for error-handler writes.
# When `put_writes` persists an ERROR_SOURCE_NODE marker, the future is
# appended here. `schedule_error_handler` / `aschedule_error_handler`
# drain this list so the write is durable before the handler starts.
_error_handler_write_futs: list[Any] | None = None
# Exit-mode accumulator: every delta-channel write produced during this
# run (input writes from `_first` + per-superstep writes captured in
# `after_tick`). At exit, `_put_exit_delta_writes` filters out channels
# that will snapshot, then persists the rest under an anchor parent.
# `None` when not in exit mode (so the capture sites are no-ops).
# Each tuple is `(step, task_id, channel, value)` — `step` drives the
# synthetic step-prefixed task_id used to preserve chronological order
# under the saver's `ORDER BY task_id, idx` sorting.
_exit_delta_writes: list[tuple[int, str, str, Any]] | None = None
# The checkpoint_config that points at the parent loaded at `__enter__`
# (or the synthetic-empty checkpoint, on first run). We capture it
# eagerly because every `_put_checkpoint` advances `self.checkpoint_config`
# to the newly-saved checkpoint's id — by exit time the original parent
# config would otherwise be lost. `_put_exit_delta_writes` uses this:
# on resumed runs as the anchor for exit delta writes; on first runs
# to derive the lazy stub's config (its `checkpoint_id` is the
# synthetic-empty id we want the stub persisted under).
_initial_checkpoint_config: RunnableConfig
# True iff the saver actually returned a tuple at `__enter__`. False
# on the first-ever run for a thread (no parent persisted yet).
# `_put_exit_delta_writes` uses this to decide between anchoring on
# the existing parent (True) or creating a lazy stub (False).
_has_persisted_parent: bool = False
managed: ManagedValueMapping
checkpoint: Checkpoint
checkpoint_id_saved: str
checkpoint_ns: tuple[str, ...]
checkpoint_config: RunnableConfig
checkpoint_metadata: CheckpointMetadata
checkpoint_pending_writes: list[PendingWrite]
checkpoint_previous_versions: dict[str, str | float | int]
prev_checkpoint_config: RunnableConfig | None
status: Literal[
"input",
"pending",
"done",
"draining",
"interrupt_before",
"interrupt_after",
"out_of_steps",
]
control: RunControl | None
tasks: dict[str, PregelExecutableTask]
output: None | dict[str, Any] | Any = None
updated_channels: set[str] | None = None
_graph_lifecycle_events: deque[GraphLifecycleEvent]
_has_graph_lifecycle_callbacks: bool
# public
def __init__(
self,
input: Any | None,
*,
stream: StreamProtocol | None,
config: RunnableConfig,
store: BaseStore | None,
cache: BaseCache | None,
checkpointer: BaseCheckpointSaver | None,
nodes: Mapping[str, PregelNode],
specs: Mapping[str, BaseChannel | ManagedValueSpec],
input_keys: str | Sequence[str],
output_keys: str | Sequence[str],
stream_keys: str | Sequence[str],
trigger_to_nodes: Mapping[str, Sequence[str]],
durability: Durability,
interrupt_after: All | Sequence[str] = EMPTY_SEQ,
interrupt_before: All | Sequence[str] = EMPTY_SEQ,
manager: None | AsyncParentRunManager | ParentRunManager = None,
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
retry_policy: Sequence[RetryPolicy] = (),
cache_policy: CachePolicy | None = None,
has_graph_lifecycle_callbacks: bool = False,
) -> None:
self.stream = stream
self.config = config
self.store = store
self.step = 0
self.stop = 0
self.input = input
self.checkpointer = checkpointer
self.cache = cache
self.nodes = nodes
self.specs = specs
self.input_keys = input_keys
self.output_keys = output_keys
self.stream_keys = stream_keys
self.interrupt_after = interrupt_after
self.interrupt_before = interrupt_before
self.manager = manager
self.is_nested = CONFIG_KEY_TASK_ID in self.config.get(CONF, {})
self.is_replaying = CONFIG_KEY_CHECKPOINT_ID in config[CONF]
self._migrate_checkpoint = migrate_checkpoint
self.trigger_to_nodes = trigger_to_nodes
self.retry_policy = retry_policy
self.cache_policy = cache_policy
self.durability = durability
self._has_graph_lifecycle_callbacks = has_graph_lifecycle_callbacks
self._graph_lifecycle_events = deque()
if self.stream is not None and CONFIG_KEY_STREAM in config[CONF]:
self.stream = DuplexStream(self.stream, config[CONF][CONFIG_KEY_STREAM])
scratchpad: PregelScratchpad | None = config[CONF].get(CONFIG_KEY_SCRATCHPAD)
if isinstance(scratchpad, PregelScratchpad):
# if count is > 0, append to checkpoint_ns
# if count is 0, leave as is
if cnt := scratchpad.subgraph_counter():
self.config = patch_configurable(
self.config,
{
CONFIG_KEY_CHECKPOINT_NS: NS_SEP.join(
(
config[CONF][CONFIG_KEY_CHECKPOINT_NS],
str(cnt),
)
)
},
)
if not self.is_nested and config[CONF].get(CONFIG_KEY_CHECKPOINT_NS):
self.config = patch_configurable(
self.config,
{CONFIG_KEY_CHECKPOINT_NS: "", CONFIG_KEY_CHECKPOINT_ID: None},
)
if (
CONFIG_KEY_CHECKPOINT_MAP in self.config[CONF]
and self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS)
in self.config[CONF][CONFIG_KEY_CHECKPOINT_MAP]
):
self.checkpoint_config = patch_configurable(
self.config,
{
CONFIG_KEY_CHECKPOINT_ID: self.config[CONF][
CONFIG_KEY_CHECKPOINT_MAP
][self.config[CONF][CONFIG_KEY_CHECKPOINT_NS]]
},
)
else:
self.checkpoint_config = self.config
if thread_id := self.checkpoint_config[CONF].get(CONFIG_KEY_THREAD_ID):
if not isinstance(thread_id, str):
self.checkpoint_config = patch_configurable(
self.checkpoint_config,
{CONFIG_KEY_THREAD_ID: str(thread_id)},
)
self.checkpoint_ns = (
tuple(cast(str, self.config[CONF][CONFIG_KEY_CHECKPOINT_NS]).split(NS_SEP))
if self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS)
else ()
)
self.prev_checkpoint_config = None
runtime = self.config[CONF].get(CONFIG_KEY_RUNTIME)
self.control = runtime.control if isinstance(runtime, Runtime) else None
def _push_graph_lifecycle_event(
self,
kind: Literal["resume", "interrupt"],
*,
interrupts: tuple[Interrupt, ...] = (),
) -> None:
# drain status never reaches lifecycle events: tick() returns False
# before pushing, and interrupts are raised through GraphInterrupt
if self.status == "draining":
raise RuntimeError("Draining status cannot emit lifecycle events")
status = self.status
if kind == "resume":
self._graph_lifecycle_events.append(
GraphResumeEvent(
run_id=None,
status=status,
checkpoint_id=self.checkpoint["id"],
checkpoint_ns=self.checkpoint_ns,
)
)
elif kind == "interrupt":
self._graph_lifecycle_events.append(
GraphInterruptEvent(
run_id=None,
status=status,
checkpoint_id=self.checkpoint["id"],
checkpoint_ns=self.checkpoint_ns,
interrupts=interrupts,
)
)
else:
msg = f"Unknown graph lifecycle event type: {kind}"
raise AssertionError(msg)
def _pop_lifecycle_event(self) -> GraphLifecycleEvent | None:
if not self._graph_lifecycle_events:
return None
return self._graph_lifecycle_events.popleft()
def put_writes(self, task_id: str, writes: WritesT) -> None:
"""Put writes for a task, to be read by the next tick."""
if not writes:
return
# deduplicate writes to special channels, last write wins
if all(w[0] in WRITES_IDX_MAP for w in writes):
writes = list({w[0]: w for w in writes}.values())
if task_id == NULL_TASK_ID:
# writes for the null task are accumulated
self.checkpoint_pending_writes = [
w
for w in self.checkpoint_pending_writes
if w[0] != task_id or w[1] not in WRITES_IDX_MAP
]
writes_to_save: WritesT = [
w[1:] for w in self.checkpoint_pending_writes if w[0] == task_id
] + list(writes)
else:
# remove existing writes for this task
self.checkpoint_pending_writes = [
w for w in self.checkpoint_pending_writes if w[0] != task_id
]
writes_to_save = writes
# check if any writes are to an UntrackedValue channel
if any(
isinstance(channel, UntrackedValue) for channel in self.channels.values()
):
# we do not persist untracked values in checkpoints
writes_to_save = [
# sanitize UntrackedValues that are nested within Send packets
(
(c, sanitize_untracked_values_in_send(v, self.channels))
if c == TASKS and isinstance(v, Send)
else (c, v)
)
for c, v in writes_to_save
# dont persist UntrackedValue channel writes
if not isinstance(self.specs.get(c), UntrackedValue)
]
# save writes
self.checkpoint_pending_writes.extend((task_id, c, v) for c, v in writes)
if self.durability != "exit" and self.checkpointer_put_writes is not None:
config = patch_configurable(
self.checkpoint_config,
{
CONFIG_KEY_CHECKPOINT_NS: self.config[CONF].get(
CONFIG_KEY_CHECKPOINT_NS, ""
),
CONFIG_KEY_CHECKPOINT_ID: self.checkpoint["id"],
},
)
if self.checkpointer_put_writes_accepts_task_path:
if hasattr(self, "tasks"):
task = self.tasks.get(task_id)
else:
task = None
fut = self.submit(
self.checkpointer_put_writes,
config,
writes_to_save,
task_id,
task_path_str(task.path) if task else "",
)
else:
fut = self.submit(
self.checkpointer_put_writes,
config,
writes_to_save,
task_id,
)
if self._delta_write_futs is not None and any(
isinstance(self.specs.get(c), DeltaChannel) for c, _ in writes_to_save
):
self._delta_write_futs.append(fut)
# ERROR_SOURCE_NODE is only appended by commit() when the task
# has an error handler (_should_route_to_error_handler), so this
# check naturally limits future collection to those tasks.
if self._error_handler_write_futs is not None and any(
c == ERROR_SOURCE_NODE for c, _ in writes
):
self._error_handler_write_futs.append(fut)
# output writes
if hasattr(self, "tasks"):
self.output_writes(task_id, writes)
def _put_pending_writes(self) -> None:
if self.checkpointer_put_writes is None:
return
if not self.checkpoint_pending_writes:
return
# patch config
config = patch_configurable(
self.checkpoint_config,
{
CONFIG_KEY_CHECKPOINT_NS: self.config[CONF].get(
CONFIG_KEY_CHECKPOINT_NS, ""
),
CONFIG_KEY_CHECKPOINT_ID: self.checkpoint["id"],
},
)
# group by task id
by_task = defaultdict(list)
for task_id, channel, value in self.checkpoint_pending_writes:
by_task[task_id].append((channel, value))
# submit writes to checkpointer
for task_id, writes in by_task.items():
if self.checkpointer_put_writes_accepts_task_path and hasattr(
self, "tasks"
):
task = self.tasks.get(task_id)
self.submit(
self.checkpointer_put_writes,
config,
writes,
task_id,
task_path_str(task.path) if task else "",
)
else:
self.submit(
self.checkpointer_put_writes,
config,
writes,
task_id,
)
def accept_push(
self, task: PregelExecutableTask, write_idx: int, call: Call | None = None
) -> PregelExecutableTask | None:
"""Accept a PUSH from a task, potentially returning a new task to start."""
checkpoint_id_bytes = binascii.unhexlify(self.checkpoint["id"].replace("-", ""))
null_version = checkpoint_null_version(self.checkpoint)
if pushed := cast(
PregelExecutableTask | None,
prepare_single_task(
(PUSH, task.path, write_idx, task.id, call),
None,
checkpoint=self.checkpoint,
checkpoint_id_bytes=checkpoint_id_bytes,
checkpoint_null_version=null_version,
pending_writes=self.checkpoint_pending_writes,
processes=self.nodes,
channels=self.channels,
managed=self.managed,
config=task.config,
step=self.step,
stop=self.stop,
for_execution=True,
store=self.store,
checkpointer=self.checkpointer,
manager=self.manager,
retry_policy=self.retry_policy,
cache_policy=self.cache_policy,
),
):
# produce debug output
self._emit("tasks", map_debug_tasks, [pushed])
# save the new task
self.tasks[pushed.id] = pushed
# match any pending writes to the new task
if not self.is_replaying:
self._reapply_writes_to_succeeded_nodes({pushed.id: pushed})
# return the new task, to be started if not run before
return pushed
def schedule_error_handler(
self, failed_task: PregelExecutableTask, error: BaseException
) -> PregelExecutableTask | None:
raise NotImplementedError
async def aschedule_error_handler(
self, failed_task: PregelExecutableTask, error: BaseException
) -> PregelExecutableTask | None:
raise NotImplementedError
def tick(self) -> bool:
"""Execute a single iteration of the Pregel loop.
Returns:
True if more iterations are needed.
"""
# check if iteration limit is reached
if self.step > self.stop:
self.status = "out_of_steps"
return False
# prepare next tasks
self.tasks = prepare_next_tasks(
self.checkpoint,
self.checkpoint_pending_writes,
self.nodes,
self.channels,
self.managed,
self.config,
self.step,
self.stop,
for_execution=True,
manager=self.manager,
store=self.store,
checkpointer=self.checkpointer,
trigger_to_nodes=self.trigger_to_nodes,
updated_channels=self.updated_channels,
retry_policy=self.retry_policy,
cache_policy=self.cache_policy,
)
# produce debug output
if self._checkpointer_put_after_previous is not None:
self._emit(
"checkpoints",
map_debug_checkpoint,
{
**self.checkpoint_config,
CONF: {
**self.checkpoint_config[CONF],
CONFIG_KEY_CHECKPOINT_ID: self.checkpoint["id"],
},
},
self.channels,
self.stream_keys,
self.checkpoint_metadata,
self.tasks.values(),
self.checkpoint_pending_writes,
self.prev_checkpoint_config,
self.output_keys,
)
# if no more tasks, we're done
if not self.tasks:
self.status = "done"
return False
if self.control is not None and self.control.drain_requested:
self.status = "draining"
return False
# if there are pending writes from a previous loop, apply them
if not self.is_replaying and self.checkpoint_pending_writes:
self._reapply_writes_to_succeeded_nodes(self.tasks)
self._resume_error_handlers_if_applicable()
# before execution, check if we should interrupt
if self.interrupt_before and should_interrupt(
self.checkpoint, self.interrupt_before, self.tasks.values()
):
self.status = "interrupt_before"
raise GraphInterrupt()
# produce debug output
self._emit("tasks", map_debug_tasks, self.tasks.values())
# print output for any tasks we applied previous writes to
for task in self.tasks.values():
if task.writes:
self.output_writes(task.id, task.writes, cached=True)
return True
def after_tick(self) -> None:
# finish superstep
writes = [w for t in self.tasks.values() for w in t.writes]
# all tasks have finished
self.updated_channels = apply_writes(
self.checkpoint,
self.channels,
self.tasks.values(),
self.checkpointer_get_next_version,
self.trigger_to_nodes,
)
# produce values output
if not self.updated_channels.isdisjoint(
(self.output_keys,)
if isinstance(self.output_keys, str)
else self.output_keys
):
self._emit(
"values", map_output_values, self.output_keys, writes, self.channels
)
# capture delta-channel writes for exit-mode accumulator before clearing
if self._exit_delta_writes is not None:
for tid, ch, v in self.checkpoint_pending_writes:
if isinstance(self.specs.get(ch), DeltaChannel):
self._exit_delta_writes.append((self.step, tid, ch, v))
# clear pending writes
self.checkpoint_pending_writes.clear()
# only replay (re-execute) done tasks on the first tick
self.is_replaying = False
# save checkpoint
self._put_checkpoint({"source": "loop"})
# after execution, check if we should interrupt
if self.interrupt_after and should_interrupt(
self.checkpoint, self.interrupt_after, self.tasks.values()
):
self.status = "interrupt_after"
raise GraphInterrupt()
# unset resuming flag
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
def match_cached_writes(self) -> Sequence[PregelExecutableTask]:
raise NotImplementedError
async def amatch_cached_writes(self) -> Sequence[PregelExecutableTask]:
raise NotImplementedError
# private
def _reapply_writes_to_succeeded_nodes(
self, tasks: Mapping[str, PregelExecutableTask]
) -> None:
"""Restore successful channel writes from checkpoint to in-memory tasks.
Skips control signals (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME)
so that failed/interrupted tasks remain with empty writes and will be
re-executed (or routed to error handlers) by the runner.
"""
for tid, k, v in self.checkpoint_pending_writes:
if k in (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME):
continue
if task := tasks.get(tid):
task.writes.append((k, v))
def _resume_error_handlers_if_applicable(self) -> None:
"""On resume, schedule error handlers for tasks that failed in a prior run.
Called right after ``_reapply_writes_to_succeeded_nodes`` during ``tick()``.
At that point, ``_reapply_writes_to_succeeded_nodes`` has already skipped
ERROR / ERROR_SOURCE_NODE writes, so a previously-failed task still has
empty ``writes``. Without intervention the runner (which executes only
tasks where ``not t.writes``) would re-run the original node.
This method prevents that re-execution for nodes that have an error
handler:
1. Scan ``checkpoint_pending_writes`` for ERROR_SOURCE_NODE markers
persisted by a prior ``commit()``. Each marker means "this task
already failed and was routed to an error handler".
2. For each such task, write ``(ERROR, error)`` into ``task.writes``
so the task is no longer empty — the runner will skip it.
3. Prepare a fresh error-handler task and add it to ``self.tasks``.
Because the handler task starts with empty ``writes``, the runner
will pick it up and execute it.
"""
# Phase 1: collect task-ids that have ERROR_SOURCE_NODE + ERROR pairs.
failed: dict[str, BaseException] = {}
for tid, chan, val in self.checkpoint_pending_writes:
if chan == ERROR_SOURCE_NODE:
error = next(
(
v
for t, c, v in self.checkpoint_pending_writes
if t == tid and c == ERROR
),
None,
)
if error is not None:
failed[tid] = error
# Phase 2: mark originals as done, schedule handler tasks.
for task_id, error in failed.items():
task = self.tasks.get(task_id)
if task is None:
continue
handler_node = self.nodes[task.name].error_handler_node
if not handler_node:
continue
# Non-empty writes → runner's `not t.writes` filter skips this task.
task.writes.append((ERROR, error))
# The handler task starts with empty writes → runner will execute it.
handler_task = prepare_node_error_handler_task(
task,
handler_node_name=handler_node,
failed_error=error,
checkpoint=self.checkpoint,
pending_writes=self.checkpoint_pending_writes,
processes=self.nodes,
channels=self.channels,
managed=self.managed,
config=task.config,
step=self.step,
stop=self.stop,
store=self.store,
checkpointer=self.checkpointer,
manager=self.manager,
retry_policy=self.retry_policy,
cache_policy=self.cache_policy,
)
if handler_task is not None:
self.tasks[handler_task.id] = handler_task
def _pending_interrupts(self) -> set[str]:
"""Return the set of interrupt ids that are pending without corresponding resume values."""
# mapping of task ids to interrupt ids
pending_interrupts: dict[str, str] = {}
# set of resume task ids
pending_resumes: set[str] = set()
for task_id, write_type, value in self.checkpoint_pending_writes:
if write_type == INTERRUPT:
# interrupts is always a list, but there should only be one element
pending_interrupts[task_id] = value[0].id
elif write_type == RESUME:
pending_resumes.add(task_id)
resumed_interrupt_ids = {
pending_interrupts[task_id]
for task_id in pending_resumes
if task_id in pending_interrupts
}
# Keep only interrupts whose interrupt_id is not resumed
hanging_interrupts: set[str] = {
interrupt_id
for interrupt_id in pending_interrupts.values()
if interrupt_id not in resumed_interrupt_ids
}
return hanging_interrupts
def _first(
self, *, input_keys: str | Sequence[str], updated_channels: set[str] | None
) -> set[str] | None:
# Resuming from a previous checkpoint requires two things:
# 1. A prior checkpoint exists (channel_versions is non-empty)
# 2. The input signals continuation (not a fresh run with new input)
# For subgraphs, the parent explicitly sets CONFIG_KEY_RESUMING.
# For the outer graph, we infer from the input:
# - None input: resume after interrupt (invoke(None, config))
# - Command input: any Command operates on existing state
# - Same run_id: re-entry into an ongoing run (e.g. stream reconnect)
configurable = self.config.get(CONF, {})
input_is_command = isinstance(self.input, Command)
is_resuming = bool(self.checkpoint["channel_versions"]) and bool(
configurable.get(
CONFIG_KEY_RESUMING,
self.input is None
or input_is_command
or (
not self.is_nested
and self.config.get("metadata", {}).get("run_id")
== self.checkpoint_metadata.get("run_id", MISSING)
),
)
)
# When replaying from a specific checkpoint, drop cached RESUME
# writes so that interrupt() calls re-fire instead of returning
# stale values. But if we're actively resuming, keep them —
# multi-interrupt scenarios need previously resolved values preserved.
is_time_traveling = self.is_replaying and (
# Time-travel to a subgraph checkpoint: the parent sets
# RESUMING=True (it can't distinguish time-travel from resume),
# so we check if this subgraph's own ns is in checkpoint_map.
# Normally the map only has ancestor entries (_algo.py); the
# subgraph's own entry only appears via get_state(subgraphs=True).
(
self.is_nested
and configurable.get(CONFIG_KEY_CHECKPOINT_NS, "")
in configurable.get(CONFIG_KEY_CHECKPOINT_MAP, {})
)
or not (
# Outer graph: resume arrives as Command(resume=...)
(input_is_command and cast(Command, self.input).resume is not None)
# Subgraphs: resume arrives via config flag from parent
# (subgraph input is a Send arg, not a Command)
or configurable.get(CONFIG_KEY_RESUMING, False)
)
)
if is_time_traveling:
self.checkpoint_pending_writes = [
w for w in self.checkpoint_pending_writes if w[1] != RESUME
]
# map command to writes
if input_is_command:
if (resume := cast(Command, self.input).resume) is not None:
if not self.checkpointer:
raise RuntimeError(
"Cannot use Command(resume=...) without checkpointer"
)
if resume_is_map := (
isinstance(resume, dict)
and all(is_xxh3_128_hexdigest(k) for k in resume)
):
self.config[CONF][CONFIG_KEY_RESUME_MAP] = resume
else:
if len(self._pending_interrupts()) > 1:
raise RuntimeError(
"When there are multiple pending interrupts, you must specify the interrupt id when resuming. "
"Docs: https://docs.langchain.com/oss/python/langgraph/add-human-in-the-loop#resume-multiple-interrupts-with-one-invocation."
)
writes: defaultdict[str, list[tuple[str, Any]]] = defaultdict(list)
# group writes by task ID
for tid, c, v in map_command(cmd=cast(Command, self.input)):
if not (c == RESUME and resume_is_map):
writes[tid].append((c, v))
if not writes and not resume_is_map:
raise EmptyInputError("Received empty Command input")
# save writes
for tid, ws in writes.items():
self.put_writes(tid, ws)
# apply NULL writes
if null_writes := [
w[1:] for w in self.checkpoint_pending_writes if w[0] == NULL_TASK_ID
]:
null_updated_channels = apply_writes(
self.checkpoint,
self.channels,
[PregelTaskWrites((), INPUT, null_writes, [])],
self.checkpointer_get_next_version,
self.trigger_to_nodes,
)
if updated_channels is not None:
updated_channels.update(null_updated_channels)
# proceed past previous checkpoint
if is_resuming:
self.checkpoint["versions_seen"].setdefault(INTERRUPT, {})
for k in self.channels:
if k in self.checkpoint["channel_versions"]:
version = self.checkpoint["channel_versions"][k]
self.checkpoint["versions_seen"][INTERRUPT][k] = version
# When time-traveling (replaying from a specific checkpoint),
# save a fork checkpoint so the replayed execution creates a
# new branch. Without this, if the execution hits an interrupt
# before after_tick() runs, no new checkpoint is created —
# the parent's latest checkpoint remains the old one and
# subsequent resumes load the wrong state.
# Skip for update_state forks (source=update/fork) since they
# already have their own fork checkpoint.
if is_time_traveling and self.checkpoint_metadata.get("source") not in (
"update",
"fork",
):
# Clear old INTERRUPT writes from the loaded checkpoint.
# The fork will have a new checkpoint_id which changes
# task IDs — stale interrupt writes would accumulate and
# confuse the multiple-interrupt check in future resumes.
self.checkpoint_pending_writes = [
w for w in self.checkpoint_pending_writes if w[1] != INTERRUPT
]
self._put_checkpoint({"source": "fork"})
# produce values output
self._emit(
"values", map_output_values, self.output_keys, True, self.channels
)
# map inputs to channel updates
elif input_writes := deque(map_input(input_keys, self.input)):
# discard any unfinished tasks from previous checkpoint
discard_tasks = prepare_next_tasks(
self.checkpoint,
self.checkpoint_pending_writes,
self.nodes,
self.channels,
self.managed,
self.config,
self.step,
self.stop,
for_execution=True,
store=None,
checkpointer=None,
manager=None,
updated_channels=updated_channels,
)
# apply input writes
updated_channels = apply_writes(
self.checkpoint,
self.channels,
[
*discard_tasks.values(),
PregelTaskWrites((), INPUT, input_writes, []),
],
self.checkpointer_get_next_version,
self.trigger_to_nodes,
)
# Input writes go through `apply_writes` directly (above) — they
# never enter `checkpoint_pending_writes`, so the after_tick
# capture site does not see them. In exit mode, capture them
# here so `_exit_delta_writes` includes the input's delta writes
# alongside per-superstep writes; otherwise the input would be
# lost on read (it's not in final_checkpoint.channel_values for
# sub-freq channels, and walks ignore target.pending_writes).
if self._exit_delta_writes is not None:
for c, v in input_writes:
if isinstance(self.specs.get(c), DeltaChannel):
self._exit_delta_writes.append((self.step, NULL_TASK_ID, c, v))
# Persist delta-channel input writes so sub-freq inputs are
# recoverable via ancestor walk (mirrors the Command input path).
if self.durability != "exit":
delta_input = [
(c, v)
for c, v in input_writes
if isinstance(self.specs.get(c), DeltaChannel)
]
if delta_input:
self.put_writes(NULL_TASK_ID, delta_input)
# save input checkpoint
self.updated_channels = updated_channels
self._put_checkpoint({"source": "input"})
elif CONFIG_KEY_RESUMING not in configurable:
raise EmptyInputError(f"Received no input for {input_keys}")
# Propagate resuming and replaying flags to subgraphs.
if not self.is_nested:
# Pass the resolved before-bound checkpoint ID so subgraphs can
# find their corresponding checkpoint without re-fetching the
# parent. For forks (source=update/fork), use the fork's parent
# checkpoint ID since the fork was created after the subgraph's
# checkpoints from the original execution.
#
# Only gate on is_time_traveling (not is_replaying). When the
# client resumes with an explicit checkpoint_id that happens to
# point at the current head (e.g. LangGraph Studio sending
# `checkpoint: {checkpoint_id}` alongside Command(resume=...)),
# is_replaying is True but is_time_traveling is False. In that
# case subgraphs should load their latest checkpoint normally,
# not go through ReplayState's before-bound lookup which would
# miss subgraph checkpoints created during processing of the
# current parent step.
replay_state: ReplayState | None = None
if is_time_traveling:
replay_checkpoint_id = self.checkpoint["id"]
if (
self.checkpoint_metadata.get("source")
in (
"update",
"fork",
)
and self.prev_checkpoint_config
):
replay_checkpoint_id = self.prev_checkpoint_config[CONF].get(
CONFIG_KEY_CHECKPOINT_ID, replay_checkpoint_id
)
replay_state = ReplayState(replay_checkpoint_id)
self.config = patch_configurable(
self.config,
{
CONFIG_KEY_RESUMING: is_resuming,
CONFIG_KEY_REPLAY_STATE: replay_state,
},
)
# set flag
self.status = "pending"
if is_resuming:
self._push_graph_lifecycle_event("resume")
return updated_channels
def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
# `is` (object identity) — not `==`. Three of four call sites pass a
# fresh dict ({"source":"input"|"loop"|"fork"}); only
# `_suppress_interrupt`(will rename to _on_loop_exit soon)
# at exit reuses the existing `self.checkpoint_metadata` instance. So
# `metadata is self.checkpoint_metadata` is True only on the exit call,
# which is what we use to gate exit-only behaviour (skip count-bump,
# don't replace metadata). Could be replaced by an explicit
# `exiting: bool = False` parameter; left as-is to match the existing
# idiom in this file.
# TODO: replace with an explicit `exiting: bool = False` parameter.
exiting = metadata is self.checkpoint_metadata
if exiting and self.checkpoint["id"] == self.checkpoint_id_saved:
# checkpoint already saved
return
# Per-delta-channel counter bookkeeping.
#
# Each delta channel tracks a (updates, supersteps) tuple:
# - `updates` increments only when the channel is written this step.
# - `supersteps` increments every superstep regardless.
#
# `_put_checkpoint` is called once per superstep with a fresh
# metadata dict (source="input"|"loop"|"fork") — those are the
# intermediate calls that bump counters. In exit mode,
# `_suppress_interrupt`(will rename to _on_loop_exit soon)
# additionally calls `_put_checkpoint(self.checkpoint_metadata)` AT
# EXIT to commit the final checkpoint — this runs *after* the last
# intermediate call already counted the last superstep. So the
# exit call must NOT bump again or it would double-count the last
# superstep.
if not exiting:
prev_counters = dict(
self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
)
new_counters: dict[str, tuple[int, int]] = {}
updated = self.updated_channels or set()
for ch_name, ch in self.channels.items():
if not isinstance(ch, DeltaChannel):
continue
u, s = prev_counters.get(ch_name, (0, 0))
s += 1
if ch_name in updated:
u += 1
new_counters[ch_name] = (u, s)
metadata["step"] = self.step
metadata["parents"] = self.config[CONF].get(CONFIG_KEY_CHECKPOINT_MAP, {})
self.checkpoint_metadata = metadata
else:
new_counters = dict(
self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
)
# do checkpoint?
do_checkpoint = self._checkpointer_put_after_previous is not None and (
exiting or self.durability != "exit"
)
# create new checkpoint
channels_to_snapshot = (
delta_channels_to_snapshot(self.channels, new_counters)
if do_checkpoint
else set()
)
self.checkpoint = create_checkpoint(
self.checkpoint,
self.channels if do_checkpoint else None,
self.step,
id=self.checkpoint["id"] if exiting else None,
updated_channels=self.updated_channels,
get_next_version=self.checkpointer_get_next_version
if do_checkpoint
else None,
channels_to_snapshot=channels_to_snapshot,
)
for k in channels_to_snapshot:
new_counters[k] = (0, 0)
non_zero = {k: v for k, v in new_counters.items() if v != (0, 0)}
if non_zero:
self.checkpoint_metadata["counters_since_delta_snapshot"] = non_zero
elif "counters_since_delta_snapshot" in self.checkpoint_metadata:
del self.checkpoint_metadata["counters_since_delta_snapshot"]
# sanitize TASK channel in the checkpoint before saving (durability=="exit")
if TASKS in self.checkpoint["channel_values"] and any(
isinstance(channel, UntrackedValue) for channel in self.channels.values()
):
sanitized_tasks = [
sanitize_untracked_values_in_send(value, self.channels)
if isinstance(value, Send)
else value
for value in self.checkpoint["channel_values"][TASKS]
]
self.checkpoint["channel_values"][TASKS] = sanitized_tasks
# bail if no checkpointer
if do_checkpoint and self._checkpointer_put_after_previous is not None:
self.prev_checkpoint_config = (
self.checkpoint_config
if CONFIG_KEY_CHECKPOINT_ID in self.checkpoint_config[CONF]
and self.checkpoint_config[CONF][CONFIG_KEY_CHECKPOINT_ID]
else None
)
self.checkpoint_config = {
**self.checkpoint_config,
CONF: {
**self.checkpoint_config[CONF],
CONFIG_KEY_CHECKPOINT_NS: self.config[CONF].get(
CONFIG_KEY_CHECKPOINT_NS, ""
),
},
}
channel_versions = self.checkpoint["channel_versions"].copy()
new_versions = get_new_channel_versions(
self.checkpoint_previous_versions, channel_versions
)
self.checkpoint_previous_versions = channel_versions
# save it, without blocking
# if there's a previous checkpoint save in progress, wait for it
# ensuring checkpointers receive checkpoints in order
self._put_checkpoint_fut = self.submit(
self._checkpointer_put_after_previous,
getattr(self, "_put_checkpoint_fut", None),
self.checkpoint_config,
copy_checkpoint(self.checkpoint),
self.checkpoint_metadata,
new_versions,
)
self.checkpoint_config = {
**self.checkpoint_config,
CONF: {
**self.checkpoint_config[CONF],
CONFIG_KEY_CHECKPOINT_ID: self.checkpoint["id"],
},
}
if not exiting:
# increment step
self.step += 1
def _put_exit_delta_writes(self) -> None:
"""Stage stub + accumulated delta writes so final_checkpoint's put
waits on them (visibility invariant: both must be durable before
final_checkpoint becomes visible to readers).
Stub is created lazily — only when no persisted parent exists AND at
least one delta channel has writes that won't be snapshotted.
"""
if (
not self._exit_delta_writes
or self.checkpointer is None
or self._checkpointer_put_after_previous is None
or self.checkpointer_put_writes is None
):
return
counters = dict(
self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
)
channels_to_snapshot = delta_channels_to_snapshot(self.channels, counters)
pending = [
(step, tid, ch, v)
for (step, tid, ch, v) in self._exit_delta_writes
if ch not in channels_to_snapshot
]
if not pending:
return
if self._has_persisted_parent:
# _initial_checkpoint_config's checkpoint_id is the saved parent's
# id (saver returned a real tuple at __enter__).
anchor_config = self._initial_checkpoint_config
else:
stub_cp = empty_checkpoint()
stub_cp["id"] = self.checkpoint_id_saved
stub_cp["ts"] = datetime.now(timezone.utc).isoformat()
# Stub has no parent (checkpoint_id=None in config).
stub_put_config = patch_configurable(
self._initial_checkpoint_config,
{CONFIG_KEY_CHECKPOINT_ID: None},
)
# Anchor config for put_writes: checkpoint_id = stub's id.
anchor_config = patch_configurable(
self._initial_checkpoint_config,
{CONFIG_KEY_CHECKPOINT_ID: stub_cp["id"]},
)
self._put_checkpoint_fut = self.submit(
self._checkpointer_put_after_previous,
getattr(self, "_put_checkpoint_fut", None),
stub_put_config,
stub_cp,
{"step": -2},
{},
)
# Set checkpoint_config so final_checkpoint's _put_checkpoint
# sees the stub as its parent.
self.checkpoint_config = anchor_config
# Step-prefixed synthetic task_id preserves chronological superstep
# order under the saver's ORDER BY task_id, idx sorting.
grouped: dict[tuple[int, str], list[tuple[str, Any]]] = {}
for step, tid, ch, v in pending:
grouped.setdefault((step, tid), []).append((ch, v))
anchor_write_config = patch_configurable(
anchor_config,
{
CONFIG_KEY_CHECKPOINT_NS: self.config[CONF].get(
CONFIG_KEY_CHECKPOINT_NS, ""
),
CONFIG_KEY_CHECKPOINT_ID: anchor_config[CONF][CONFIG_KEY_CHECKPOINT_ID],
},
)
for (step, tid), entries in grouped.items():
synth_tid = f"{step:08d}-{tid}"
if self.checkpointer_put_writes_accepts_task_path:
fut = self.submit(
self.checkpointer_put_writes,
anchor_write_config,
entries,
synth_tid,
"",
)
else:
fut = self.submit(
self.checkpointer_put_writes,
anchor_write_config,
entries,
synth_tid,
)
if self._delta_write_futs is not None:
self._delta_write_futs.append(fut)
def _suppress_interrupt(
self,
exc_type: type[BaseException] | None,
exc_value: BaseException | None,
traceback: TracebackType | None,
) -> bool | None:
# persist current checkpoint and writes
if self.durability == "exit" and (
# if it's a top graph
not self.is_nested
# or a nested graph with error or interrupt
or exc_value is not None
# or a nested graph with checkpointer=True
or all(NS_END not in part for part in self.checkpoint_ns)
):
self._put_exit_delta_writes()
self._put_checkpoint(self.checkpoint_metadata)
self._put_pending_writes()
# suppress interrupt
if isinstance(exc_value, GraphInterrupt) and not self.is_nested:
interrupt = exc_value
interrupts = tuple(interrupt.args[0]) if interrupt.args else ()
self._push_graph_lifecycle_event("interrupt", interrupts=interrupts)
# emit one last "values" event, with pending writes applied
if (
hasattr(self, "tasks")
and self.checkpoint_pending_writes
and any(task.writes for task in self.tasks.values())
):
updated_channels = apply_writes(
self.checkpoint,
self.channels,
self.tasks.values(),
self.checkpointer_get_next_version,
self.trigger_to_nodes,
)
if not updated_channels.isdisjoint(
(self.output_keys,)
if isinstance(self.output_keys, str)
else self.output_keys
):
self._emit(
"values",
map_output_values,
self.output_keys,
[w for t in self.tasks.values() for w in t.writes],
self.channels,
)
# emit INTERRUPT if exception is empty (otherwise emitted by put_writes)
if not interrupt.args or not interrupt.args[0]:
interrupt_payload = interrupt.args[0] if interrupt.args else ()
self._emit(
"updates",
lambda: iter([{INTERRUPT: interrupt_payload}]),
)
# save final output
self.output = read_channels(self.channels, self.output_keys)
# suppress interrupt
return True
elif exc_type is None:
# save final output
self.output = read_channels(self.channels, self.output_keys)
def _emit(
self,
mode: StreamMode,
values: Callable[P, Iterator[Any]],
*args: P.args,
**kwargs: P.kwargs,
) -> None:
if self.stream is None:
return
debug_remap = mode in ("checkpoints", "tasks") and "debug" in self.stream.modes
if mode not in self.stream.modes and not debug_remap:
return
for v in values(*args, **kwargs):
if mode in self.stream.modes:
self.stream((self.checkpoint_ns, mode, v))
# "debug" mode is "checkpoints" or "tasks" with a wrapper dict
if debug_remap:
self.stream(
(
self.checkpoint_ns,
"debug",
{
"step": self.step - 1
if mode == "checkpoints"
else self.step,
"timestamp": datetime.now(timezone.utc).isoformat(),
"type": "checkpoint"
if mode == "checkpoints"
else "task_result"
if "result" in v
else "task",
"payload": v,
},
)
)
def output_writes(
self, task_id: str, writes: WritesT, *, cached: bool = False
) -> None:
if task := self.tasks.get(task_id):
if task.config is not None and TAG_HIDDEN in task.config.get(
"tags", EMPTY_SEQ
):
return
if writes[0][0] == INTERRUPT:
# in loop.py we append a bool to the PUSH task paths to indicate
# whether or not a call was present. If so,
# we don't emit the interrupt as it'll be emitted by the parent
if task.path[0] == PUSH and task.path[-1] is True:
return
interrupts = [
{
INTERRUPT: tuple(
v
for w in writes
if w[0] == INTERRUPT
for v in (w[1] if isinstance(w[1], Sequence) else (w[1],))
)
}
]
stream_modes = self.stream.modes if self.stream else []
if "updates" in stream_modes:
self._emit("updates", lambda: iter(interrupts))
if "values" in stream_modes:
current_values = read_channels(self.channels, self.output_keys)
# self.output_keys is a sequence, stream chunk contains entire state and interrupts
if isinstance(current_values, dict):
current_values[INTERRUPT] = interrupts[0][INTERRUPT]
self._emit("values", lambda: iter([current_values]))
# self.output_keys is a string, stream chunk contains only interrupts
else:
self._emit("values", lambda: iter(interrupts))
elif writes[0][0] != ERROR:
self._emit(
"updates",
map_output_updates,
self.output_keys,
[(task, writes)],
cached,
)
if not cached:
self._emit(
"tasks",
map_debug_task_results,
(task, writes),
self.stream_keys,
)
class SyncPregelLoop(PregelLoop, AbstractContextManager):
def __init__(
self,
input: Any | None,
*,
stream: StreamProtocol | None,
config: RunnableConfig,
store: BaseStore | None,
cache: BaseCache | None,
checkpointer: BaseCheckpointSaver | None,
nodes: Mapping[str, PregelNode],
specs: Mapping[str, BaseChannel | ManagedValueSpec],
trigger_to_nodes: Mapping[str, Sequence[str]],
durability: Durability,
manager: None | AsyncParentRunManager | ParentRunManager = None,
interrupt_after: All | Sequence[str] = EMPTY_SEQ,
interrupt_before: All | Sequence[str] = EMPTY_SEQ,
input_keys: str | Sequence[str] = EMPTY_SEQ,
output_keys: str | Sequence[str] = EMPTY_SEQ,
stream_keys: str | Sequence[str] = EMPTY_SEQ,
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
retry_policy: Sequence[RetryPolicy] = (),
cache_policy: CachePolicy | None = None,
has_graph_lifecycle_callbacks: bool = False,
) -> None:
super().__init__(
input,
stream=stream,
config=config,
checkpointer=checkpointer,
cache=cache,
store=store,
nodes=nodes,
specs=specs,
input_keys=input_keys,
output_keys=output_keys,
stream_keys=stream_keys,
interrupt_after=interrupt_after,
interrupt_before=interrupt_before,
manager=manager,
migrate_checkpoint=migrate_checkpoint,
trigger_to_nodes=trigger_to_nodes,
retry_policy=retry_policy,
cache_policy=cache_policy,
durability=durability,
has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
)
self.stack = ExitStack()
if checkpointer:
self.checkpointer_get_next_version = checkpointer.get_next_version
self.checkpointer_put_writes = checkpointer.put_writes
self.checkpointer_put_writes_accepts_task_path = (
signature(checkpointer.put_writes).parameters.get("task_path")
is not None
)
else:
self.checkpointer_get_next_version = increment
self._checkpointer_put_after_previous = None # type: ignore[assignment]
self.checkpointer_put_writes = None
self.checkpointer_put_writes_accepts_task_path = False
def _checkpointer_put_after_previous(
self,
prev: concurrent.futures.Future | None,
config: RunnableConfig,
checkpoint: Checkpoint,
metadata: CheckpointMetadata,
new_versions: ChannelVersions,
) -> RunnableConfig:
if self._delta_write_futs:
futs, self._delta_write_futs = self._delta_write_futs, []
concurrent.futures.wait(futs)
try:
if prev is not None:
prev.result()
finally:
cast(BaseCheckpointSaver, self.checkpointer).put(
config, checkpoint, metadata, new_versions
)
def match_cached_writes(self) -> Sequence[PregelExecutableTask]:
if self.cache is None:
return ()
matched: list[PregelExecutableTask] = []
if cached := {
(t.cache_key.ns, t.cache_key.key): t
for t in self.tasks.values()
if t.cache_key and not t.writes
}:
for key, values in self.cache.get(tuple(cached)).items():
task = cached[key]
task.writes.extend(values)
matched.append(task)
return matched
def accept_push(
self, task: PregelExecutableTask, write_idx: int, call: Call | None = None
) -> PregelExecutableTask | None:
if pushed := super().accept_push(task, write_idx, call):
for task in self.match_cached_writes():
self.output_writes(task.id, task.writes, cached=True)
return pushed
def schedule_error_handler(
self, failed_task: PregelExecutableTask, error: BaseException
) -> PregelExecutableTask | None:
handler_node = self.nodes[failed_task.name].error_handler_node
if not handler_node:
return None
# ensure error + ERROR_SOURCE_NODE writes are durable before handler runs
if self._error_handler_write_futs:
futs, self._error_handler_write_futs = self._error_handler_write_futs, []
concurrent.futures.wait(futs)
handler_task = prepare_node_error_handler_task(
failed_task,
handler_node_name=handler_node,
failed_error=error,
checkpoint=self.checkpoint,
pending_writes=self.checkpoint_pending_writes,
processes=self.nodes,
channels=self.channels,
managed=self.managed,
config=failed_task.config,
step=self.step,
stop=self.stop,
store=self.store,
checkpointer=self.checkpointer,
manager=self.manager,
retry_policy=self.retry_policy,
cache_policy=self.cache_policy,
)
if handler_task is None:
return None
self.tasks[handler_task.id] = handler_task
if not self.is_replaying:
self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
for task in self.match_cached_writes():
self.output_writes(task.id, task.writes, cached=True)
return handler_task
def put_writes(self, task_id: str, writes: WritesT) -> None:
"""Put writes for a task, to be read by the next tick."""
super().put_writes(task_id, writes)
if not writes or self.cache is None or not hasattr(self, "tasks"):
return
task = self.tasks.get(task_id)
if task is None or task.cache_key is None:
return
self.submit(
self.cache.set,
{
(task.cache_key.ns, task.cache_key.key): (
task.writes,
task.cache_key.ttl,
)
},
)
# context manager
def __enter__(self) -> Self:
self._graph_lifecycle_events = deque()
if not self.checkpointer:
saved = None
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
# Explicit checkpoint_id requested — fetch that exact checkpoint.
# This covers both normal replay and subgraphs resolved via
# checkpoint_map during time-travel.
saved = self.checkpointer.get_tuple(self.checkpoint_config)
elif replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE):
# Subgraph replay: the parent is replaying and passed us a
# replay_state with its checkpoint_id. Look up our checkpoint
# from the parent's checkpoint_map instead of fetching latest.
saved = replay_state.get_checkpoint(
self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
self.checkpointer,
self.checkpoint_config,
)
# Clear RESUMING so _first re-applies input instead of resuming.
# This recreates ephemeral routing channels so nodes trigger
# naturally via version comparison.
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
else:
# Normal case: fetch the most recent checkpoint for this
# graph/thread. Returns None on first invocation.
saved = self.checkpointer.get_tuple(self.checkpoint_config)
# Capture before the synthetic-empty fallback below overwrites `saved`.
# `_put_exit_delta_writes` uses this on first run (no persisted parent)
# to lazy-create a stub instead of anchoring delta writes on a parent.
self._has_persisted_parent = saved is not None
if saved is None:
saved = CheckpointTuple(
self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
)
elif self._migrate_checkpoint is not None:
self._migrate_checkpoint(saved.checkpoint)
self.checkpoint_config = {
**self.checkpoint_config,
**saved.config,
CONF: {
CONFIG_KEY_CHECKPOINT_NS: "",
**self.checkpoint_config.get(CONF, {}),
**saved.config.get(CONF, {}),
},
}
self._initial_checkpoint_config = self.checkpoint_config
self.prev_checkpoint_config = saved.parent_config
self.checkpoint_id_saved = saved.checkpoint["id"]
self.checkpoint = saved.checkpoint
self.checkpoint_metadata = saved.metadata
self.checkpoint_pending_writes = (
[(str(tid), k, v) for tid, k, v in saved.pending_writes]
if saved.pending_writes is not None
else []
)
self._delta_write_futs = []
self._error_handler_write_futs = []
self._exit_delta_writes = (
[] if self.durability == "exit" and self.checkpointer is not None else None
)
self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
self.channels, self.managed = channels_from_checkpoint(
self.specs,
self.checkpoint,
saver=self.checkpointer,
config=self.checkpoint_config,
)
self.stack.push(self._suppress_interrupt)
self.status = "input"
self.step = self.checkpoint_metadata["step"] + 1
self.stop = self.step + self.config["recursion_limit"] + 1
self.checkpoint_previous_versions = self.checkpoint["channel_versions"].copy()
self.updated_channels = self._first(
input_keys=self.input_keys,
updated_channels=set(self.checkpoint.get("updated_channels")) # type: ignore[arg-type]
if self.checkpoint.get("updated_channels")
else None,
)
return self
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_value: BaseException | None,
traceback: TracebackType | None,
) -> bool | None:
# unwind stack
return self.stack.__exit__(exc_type, exc_value, traceback)
class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
def __init__(
self,
input: Any | None,
*,
stream: StreamProtocol | None,
config: RunnableConfig,
store: BaseStore | None,
cache: BaseCache | None,
checkpointer: BaseCheckpointSaver | None,
nodes: Mapping[str, PregelNode],
specs: Mapping[str, BaseChannel | ManagedValueSpec],
trigger_to_nodes: Mapping[str, Sequence[str]],
durability: Durability,
interrupt_after: All | Sequence[str] = EMPTY_SEQ,
interrupt_before: All | Sequence[str] = EMPTY_SEQ,
manager: None | AsyncParentRunManager | ParentRunManager = None,
input_keys: str | Sequence[str] = EMPTY_SEQ,
output_keys: str | Sequence[str] = EMPTY_SEQ,
stream_keys: str | Sequence[str] = EMPTY_SEQ,
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
retry_policy: Sequence[RetryPolicy] = (),
cache_policy: CachePolicy | None = None,
has_graph_lifecycle_callbacks: bool = False,
) -> None:
super().__init__(
input,
stream=stream,
config=config,
checkpointer=checkpointer,
cache=cache,
store=store,
nodes=nodes,
specs=specs,
input_keys=input_keys,
output_keys=output_keys,
stream_keys=stream_keys,
interrupt_after=interrupt_after,
interrupt_before=interrupt_before,
manager=manager,
migrate_checkpoint=migrate_checkpoint,
trigger_to_nodes=trigger_to_nodes,
retry_policy=retry_policy,
cache_policy=cache_policy,
durability=durability,
has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
)
self.stack = AsyncExitStack()
if checkpointer:
self.checkpointer_get_next_version = checkpointer.get_next_version
self.checkpointer_put_writes = checkpointer.aput_writes
self.checkpointer_put_writes_accepts_task_path = (
signature(checkpointer.aput_writes).parameters.get("task_path")
is not None
)
else:
self.checkpointer_get_next_version = increment
self._checkpointer_put_after_previous = None # type: ignore[assignment]
self.checkpointer_put_writes = None
self.checkpointer_put_writes_accepts_task_path = False
async def _checkpointer_put_after_previous(
self,
prev: asyncio.Task | None,
config: RunnableConfig,
checkpoint: Checkpoint,
metadata: CheckpointMetadata,
new_versions: ChannelVersions,
) -> RunnableConfig:
# Drain DeltaChannel write futures before committing the checkpoint so
# ancestor walks never see a checkpoint without its backing writes.
if self._delta_write_futs:
futs, self._delta_write_futs = self._delta_write_futs, []
await asyncio.gather(*futs)
try:
if prev is not None:
await prev
finally:
await cast(BaseCheckpointSaver, self.checkpointer).aput(
config, checkpoint, metadata, new_versions
)
async def amatch_cached_writes(self) -> Sequence[PregelExecutableTask]:
if self.cache is None:
return []
matched: list[PregelExecutableTask] = []
if cached := {
(t.cache_key.ns, t.cache_key.key): t
for t in self.tasks.values()
if t.cache_key and not t.writes
}:
for key, values in (await self.cache.aget(tuple(cached))).items():
task = cached[key]
task.writes.extend(values)
matched.append(task)
return matched
async def aaccept_push(
self, task: PregelExecutableTask, write_idx: int, call: Call | None = None
) -> PregelExecutableTask | None:
if pushed := super().accept_push(task, write_idx, call):
for task in await self.amatch_cached_writes():
self.output_writes(task.id, task.writes, cached=True)
return pushed
async def aschedule_error_handler(
self, failed_task: PregelExecutableTask, error: BaseException
) -> PregelExecutableTask | None:
handler_node = self.nodes[failed_task.name].error_handler_node
if not handler_node:
return None
# ensure error + ERROR_SOURCE_NODE writes are durable before handler runs
if self._error_handler_write_futs:
futs, self._error_handler_write_futs = self._error_handler_write_futs, []
await asyncio.gather(*futs)
handler_task = prepare_node_error_handler_task(
failed_task,
handler_node_name=handler_node,
failed_error=error,
checkpoint=self.checkpoint,
pending_writes=self.checkpoint_pending_writes,
processes=self.nodes,
channels=self.channels,
managed=self.managed,
config=failed_task.config,
step=self.step,
stop=self.stop,
store=self.store,
checkpointer=self.checkpointer,
manager=self.manager,
retry_policy=self.retry_policy,
cache_policy=self.cache_policy,
)
if handler_task is None:
return None
self.tasks[handler_task.id] = handler_task
if not self.is_replaying:
self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
for task in await self.amatch_cached_writes():
self.output_writes(task.id, task.writes, cached=True)
return handler_task
def put_writes(self, task_id: str, writes: WritesT) -> None:
"""Put writes for a task, to be read by the next tick."""
super().put_writes(task_id, writes)
if not writes or self.cache is None or not hasattr(self, "tasks"):
return
task = self.tasks.get(task_id)
if task is None or task.cache_key is None:
return
if writes[0][0] in (INTERRUPT, ERROR):
# only cache successful tasks
return
self.submit(
self.cache.aset,
{
(task.cache_key.ns, task.cache_key.key): (
task.writes,
task.cache_key.ttl,
)
},
)
# context manager
async def __aenter__(self) -> Self:
self._graph_lifecycle_events = deque()
if not self.checkpointer:
saved = None
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
# Explicit checkpoint_id requested — fetch that exact checkpoint.
# This covers both normal replay and subgraphs resolved via
# checkpoint_map during time-travel.
saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
elif replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE):
# Subgraph replay: the parent is replaying and passed us a
# replay_state with its checkpoint_id. Look up our checkpoint
# from the parent's checkpoint_map instead of fetching latest.
saved = await replay_state.aget_checkpoint(
self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
self.checkpointer,
self.checkpoint_config,
)
# Clear RESUMING so _first re-applies input instead of resuming.
# This recreates ephemeral routing channels so nodes trigger
# naturally via version comparison.
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
else:
# Normal case: fetch the most recent checkpoint for this
# graph/thread. Returns None on first invocation.
saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
# Capture before the synthetic-empty fallback below overwrites `saved`.
# `_put_exit_delta_writes` uses this on first run (no persisted parent)
# to lazy-create a stub instead of anchoring delta writes on a parent.
self._has_persisted_parent = saved is not None
if saved is None:
saved = CheckpointTuple(
self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
)
elif self._migrate_checkpoint is not None:
self._migrate_checkpoint(saved.checkpoint)
self.checkpoint_config = {
**self.checkpoint_config,
**saved.config,
CONF: {
CONFIG_KEY_CHECKPOINT_NS: "",
**self.checkpoint_config.get(CONF, {}),
**saved.config.get(CONF, {}),
},
}
self._initial_checkpoint_config = self.checkpoint_config
self.prev_checkpoint_config = saved.parent_config
self.checkpoint_id_saved = saved.checkpoint["id"]
self.checkpoint = saved.checkpoint
self.checkpoint_metadata = saved.metadata
self.checkpoint_pending_writes = (
[(str(tid), k, v) for tid, k, v in saved.pending_writes]
if saved.pending_writes is not None
else []
)
self._delta_write_futs = []
self._error_handler_write_futs = []
self._exit_delta_writes = (
[] if self.durability == "exit" and self.checkpointer is not None else None
)
self.submit = await self.stack.enter_async_context(
AsyncBackgroundExecutor(self.config)
)
self.channels, self.managed = await achannels_from_checkpoint(
self.specs,
self.checkpoint,
saver=self.checkpointer,
config=self.checkpoint_config,
)
self.stack.push(self._suppress_interrupt)
self.status = "input"
self.step = self.checkpoint_metadata["step"] + 1
self.stop = self.step + self.config["recursion_limit"] + 1
self.checkpoint_previous_versions = self.checkpoint["channel_versions"].copy()
self.updated_channels = self._first(
input_keys=self.input_keys,
updated_channels=set(self.checkpoint.get("updated_channels")) # type: ignore[arg-type]
if self.checkpoint.get("updated_channels")
else None,
)
return self
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_value: BaseException | None,
traceback: TracebackType | None,
) -> bool | None:
# unwind stack
exit_task = asyncio.create_task(
self.stack.__aexit__(exc_type, exc_value, traceback)
)
try:
return await exit_task
except asyncio.CancelledError as e:
# Bubble up the exit task upon cancellation to permit the API
# consumer to await it before e.g., reusing the DB connection.
e.args = (*e.args, exit_task)
raise