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chore: import upstream snapshot with attribution
2026-07-13 12:37:18 +08:00

209 lines
6.7 KiB
Python

"""Subscription matching: channel inference + namespace prefix filtering.
Direct port of `libs/sdk/src/client/stream/subscription.ts` from the JS SDK.
"""
from __future__ import annotations
from typing import Any
from langchain_protocol import Channel, Event, Namespace, SubscribeParams
def normalize_segment(segment: str) -> str:
"""Strip the dynamic suffix after `:` from a namespace segment."""
idx = segment.find(":")
return segment if idx == -1 else segment[:idx]
def is_prefix_match(event_namespace: Namespace, prefix: Namespace) -> bool:
"""Whether `event_namespace` starts with `prefix`.
Segments compare literally first; if the prefix segment contains no `:`,
the candidate is also compared after its dynamic suffix is stripped.
Mirrors `is_prefix_match` in `api/langgraph_api/protocol/namespace.py`.
"""
if len(prefix) > len(event_namespace):
return False
for seg, candidate in zip(prefix, event_namespace, strict=False):
if candidate == seg:
continue
if ":" in seg:
return False
if normalize_segment(candidate) == seg:
continue
return False
return True
def namespace_matches(
event_namespace: Namespace,
prefixes: list[Namespace] | None,
depth: int | None,
) -> bool:
"""Whether `event_namespace` matches any of `prefixes` within `depth`."""
if not prefixes:
return True
for prefix in prefixes:
if not is_prefix_match(event_namespace, prefix):
continue
if depth is None:
return True
if len(event_namespace) - len(prefix) <= depth:
return True
return False
_DIRECT_METHODS = {
"values",
"checkpoints",
"updates",
"messages",
"tools",
"lifecycle",
"tasks",
}
def infer_channel(event: Event) -> Channel | None:
"""Map a protocol event's `method` to its subscription channel.
Returns `None` for unrecognized methods so new server-side channels (e.g.
from extension transformers) don't break existing clients.
"""
method = event.get("method")
if method in _DIRECT_METHODS:
return method # type: ignore[return-value]
if method == "custom":
params = event.get("params") or {}
data = params.get("data") if isinstance(params, dict) else None
name = data.get("name") if isinstance(data, dict) else None
# JS uses != null; truthiness here treats name="" the same as missing.
return f"custom:{name}" if name else "custom"
if method == "input.requested":
return "input"
return None
def matches_subscription(event: Event, definition: SubscribeParams) -> bool:
"""Whether `event` should be delivered for `definition`."""
channel = infer_channel(event)
if channel is None:
return False
channels = definition.get("channels", [])
if channel not in channels and not (
channel.startswith("custom:") and "custom" in channels
):
return False
params = event.get("params") or {}
namespace = params.get("namespace", []) if isinstance(params, dict) else []
return namespace_matches(
namespace,
definition.get("namespaces"),
definition.get("depth"),
)
def compute_union_filter(
subscriptions: list[dict[str, Any]],
) -> dict[str, Any]:
"""Aggregate a set of subscription filters into one covering filter.
Direct port of `client/stream/index.ts:#computeUnionFilter`.
- Channels are unioned.
- Namespaces: if any subscription omits `namespaces` (wildcard), the union
is unscoped (omits the key). Otherwise, deduplicated union.
- Depth: if any subscription omits `depth` (unbounded), the union is
unbounded (omits the key). Otherwise, take the max. `depth=0` is a
valid bounded value — never omit when all subscriptions provide it.
Args:
subscriptions: list of `SubscribeParams`-shaped dicts.
Returns:
A `SubscribeParams`-shaped dict covering every input.
"""
if not subscriptions:
return {"channels": []}
channels: set[str] = set()
wildcard_namespaces = False
namespace_map: dict[tuple[str, ...], list[str]] = {}
unbounded_depth = False
max_depth = 0
for sub in subscriptions:
for ch in sub.get("channels", []):
channels.add(ch)
sub_namespaces = sub.get("namespaces")
if sub_namespaces is None:
wildcard_namespaces = True
elif not wildcard_namespaces:
for ns in sub_namespaces:
namespace_map[tuple(ns)] = ns
sub_depth = sub.get("depth")
if sub_depth is None:
unbounded_depth = True
elif not unbounded_depth and sub_depth > max_depth:
max_depth = sub_depth
result: dict[str, Any] = {"channels": sorted(channels)}
if not wildcard_namespaces and namespace_map:
result["namespaces"] = list(namespace_map.values())
if not unbounded_depth:
result["depth"] = max_depth
return result
def filter_covers(coverer: dict[str, Any], target: dict[str, Any]) -> bool:
"""Whether `coverer` is a superset of `target`.
Direct port of `client/stream/index.ts:filterCovers`. Depth coverage
accounts for namespace-prefix offset: a scoped coverer needs enough depth
to absorb the extra levels of any deeper target namespace prefix.
"""
coverer_channels = set(coverer.get("channels", []))
for ch in target.get("channels", []):
if ch not in coverer_channels:
return False
coverer_depth = coverer.get("depth")
target_depth = target.get("depth")
coverer_namespaces = coverer.get("namespaces")
target_namespaces = target.get("namespaces")
# Unscoped coverer covers any namespace; depth is a simple scalar check.
if coverer_namespaces is None:
if coverer_depth is None:
return True
if target_depth is None:
return False
return target_depth <= coverer_depth
# Scoped coverer cannot cover an unscoped target.
if target_namespaces is None:
return False
# Each target namespace must be covered by SOME coverer namespace,
# AND the depth-with-offset must fit.
for tp in target_namespaces:
covered = False
for cp in coverer_namespaces:
if not is_prefix_match(tp, cp):
continue
if coverer_depth is None:
covered = True
break
if target_depth is None:
# target wants unbounded depth — coverer bounded can't cover.
continue
if len(tp) - len(cp) + target_depth <= coverer_depth:
covered = True
break
if not covered:
return False
return True