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Take the engine off the path node code imports from, and let it stop

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The worker script is handed to the interpreter by path, so app/flow was
sys.path[0] for every node: `import queue` got the engine's. It now drops
its own directory before anything else imports, and runs with the
deployment's credentials scrubbed out of its environment.

Also: reload builds off the event loop, the pool wakes what is blocked on
it when it stops, a refused metrics flush is kept for the next one rather
than dropped, and the cascade events are paired through failures.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017MeiWk3Yq12n2pTvnQWYvt
This commit is contained in:
stroblme
2026-08-16 23:46:08 +02:00
co-authored by Claude Fable 5
parent b33be3fdd4
commit 83c30aa1c7
19 changed files with 346 additions and 65 deletions
Download Patch File Download Diff File Expand all files Collapse all files
backend/app/api/routes/observability.py
+4 -2
View File
@@ -123,11 +123,13 @@ async def read_summary(
if errored:
problems.append(f"{len(errored)} node(s) failed to load")
failures = session.exec(
statement = (
select(func.count())
.select_from(EngineEvent)
.where(col(EngineEvent.ts) >= _since(24), col(EngineEvent.type) != "audit")
).one()
)
# The health page polls this every ten seconds; the driver is synchronous.
failures = await run_in_threadpool(lambda: session.exec(statement).one())
return HealthSummary(
status="degraded" if problems else "ok",
backend/app/flow/controller.py
+16 -7
View File
@@ -302,8 +302,12 @@ class FlowController:
for flow in published
if not self.store.read_enabled(flow.name)
}
nodes, loaded, initial_values, flow_inputs = self._build_flows(
[(flow, False) for flow in published]
# Off the loop: building a python node asks its worker to compile,
# which waits for a free slot — and a busy node holds one for as
# long as its timeout. On the loop that stalls every request, the
# websocket and the health check the container is judged by.
nodes, loaded, initial_values, flow_inputs = await run_in_threadpool(
self._build_flows, [(flow, False) for flow in published]
)
self.loaded = loaded
@@ -708,11 +712,16 @@ class FlowController:
for node_def in flow.nodes:
member = f"{flow.name}.{node_def.id}"
node_type = NODE_TYPES.get(node_def.type)
key = (
node_type.cls.instance_key(node_def.params)
if node_type is not None
else None
)
key = None
if node_type is not None:
try:
key = node_type.cls.instance_key(node_def.params)
except Exception:
# A plugin's own grouping is not worth the whole graph;
# this node just stands on its own.
logger.exception(
"instance_key failed for node type '%s'", node_def.type
)
gid = f"{node_def.type}:{key}" if key else member
gid_of[member] = gid
backend/app/flow/executor.py
+16 -12
View File
@@ -298,18 +298,22 @@ class ExecutionService:
}
)
pipeline.apply_outputs(node, item.outputs or None)
pipeline.run_downstream(
node, entry_id=item.entry_id, replay=item.deliveries > 1
)
self._publish(
{
"type": "cascade_finished",
"run": item.entry_id,
"flow": item.flow,
"ts": time.time(),
}
)
try:
pipeline.apply_outputs(node, item.outputs or None)
pipeline.run_downstream(
node, entry_id=item.entry_id, replay=item.deliveries > 1
)
finally:
# Paired, or a cascade that raised — state backend gone, say — is a
# run left open until the abandoned sweep ten minutes later.
self._publish(
{
"type": "cascade_finished",
"run": item.entry_id,
"flow": item.flow,
"ts": time.time(),
}
)
return True
# -------------------------------------------------------------------------
backend/app/flow/metrics.py
+41 -3
View File
@@ -35,6 +35,13 @@ FLUSH_INTERVAL_S = 15.0
DETAIL_CAP = 8000
#: A cascade still open this long after it started is never finishing.
RUN_STALE_S = 600.0
#: ``metric_minute.flow``/``node`` and ``flow_run.flow`` are this wide, and a
#: node id has no length of its own. One row over it aborts the transaction,
#: which would take every other row in the flush with it.
NAME_MAX = 255
#: How much unwritten history is held while the database is unreachable. Enough
#: for a long outage, bounded so the outage cannot become a memory leak.
HOLD_MAX = 10_000
#: Retention is checked this often, not on every flush.
PRUNE_INTERVAL_S = 3600.0
@@ -117,8 +124,8 @@ class MetricsCollector:
# ponytail: one collector, one row per node per minute; coarsen the
# bucket if the node count ever reaches thousands.
key = (
str(event.get("flow") or ""),
str(event.get("node") or ""),
str(event.get("flow") or "")[:NAME_MAX],
str(event.get("node") or "")[:NAME_MAX],
_minute(float(event.get("ts") or time.time())),
)
return self._buckets.setdefault(
@@ -247,7 +254,7 @@ class MetricsCollector:
return
self._runs[run_id] = {
"id": run_id,
"flow": str(event.get("flow") or ""),
"flow": str(event.get("flow") or "")[:NAME_MAX],
"source": str(event.get("cause") or ""),
"started_ts": ts,
"started_at": datetime.fromtimestamp(ts, timezone.utc),
@@ -276,6 +283,7 @@ class MetricsCollector:
await asyncio.to_thread(self._write, buckets, pending, runs, prune)
except Exception:
logger.exception("Could not write engine metrics")
self._hold(buckets, pending)
return
if prune:
self._last_prune = time.monotonic()
@@ -287,6 +295,36 @@ class MetricsCollector:
# to are two events, and a flush can fall between them. One per node,
# each replaced by that node's next failure.
def _hold(
self,
buckets: dict[tuple[str, str, datetime], dict[str, float]],
pending: list[EngineEvent],
) -> None:
"""Take a batch the database refused back, rather than losing it.
These are the audit trail and the failures with their tracebacks — the
rows nobody can reconstruct afterwards. The batch goes in front of what
arrived since, so what a long outage drops is the oldest.
"""
for key, agg in self._buckets.items():
held = buckets.get(key)
if held is None:
buckets[key] = agg
continue
for name in SUMMED:
held[name] += agg[name]
for name in MAXIMA:
held[name] = max(held[name], agg[name])
self._buckets = buckets
# A failed commit puts the rows back to unsaved. One that got as far as
# being handed an id keeps it, and the sequence has already moved past
# it, so adding them to the next session inserts them cleanly.
self._pending[:0] = pending
for key in list(self._buckets)[: max(0, len(self._buckets) - HOLD_MAX)]:
del self._buckets[key]
del self._pending[: max(0, len(self._pending) - HOLD_MAX)]
def _write(
self,
buckets: dict[tuple[str, str, datetime], dict[str, float]],
backend/app/flow/modules.py
+16 -6
View File
@@ -79,12 +79,18 @@ def ensure_venv() -> None:
def sync(requirements: str) -> tuple[bool, str]:
"""Make the venv hold exactly these packages. Returns success and uv's output."""
ensure_venv()
with tempfile.NamedTemporaryFile("w", suffix=".txt", delete=False) as handle:
handle.write(requirements)
manifest = handle.name
"""Make the venv hold exactly these packages. Returns success and uv's output.
``uv`` missing, or refusing to make the venv, is a failed apply like any
other — the caller answers 400 with what came back, which is the only thing
a person can act on.
"""
manifest = ""
try:
ensure_venv()
with tempfile.NamedTemporaryFile("w", suffix=".txt", delete=False) as handle:
handle.write(requirements)
manifest = handle.name
result = subprocess.run(
# Empty means empty: without the flag uv refuses to clear a venv,
# so deleting the last line would leave the package installed.
@@ -101,8 +107,12 @@ def sync(requirements: str) -> tuple[bool, str]:
text=True,
timeout=SYNC_TIMEOUT,
)
except (OSError, subprocess.SubprocessError) as exc:
detail = str(getattr(exc, "stderr", None) or exc).strip()
return False, f"uv could not run: {detail}"
finally:
Path(manifest).unlink(missing_ok=True)
if manifest:
Path(manifest).unlink(missing_ok=True)
output = (result.stdout + result.stderr).strip()
if result.returncode == 0:
backend/app/flow/nodes/http.py
+10 -1
View File
@@ -8,6 +8,7 @@ import threading
from collections.abc import Iterable
from enum import Enum
from typing import TYPE_CHECKING, Any, Literal
from urllib.parse import urlsplit, urlunsplit
import httpx
from pydantic import BaseModel, ConfigDict, Field
@@ -156,7 +157,15 @@ class HttpNode(Node):
# prefixed onto it, so two flows both receiving on "/tick" merge into
# one neuron. Key on mode as well if that ever misleads.
url = params.get("url")
return str(url) if url else None
if not url:
return None
# A URL may legally carry credentials, and this key becomes a group id
# in the brain graph — rendered into the response and into the DOM.
parts = urlsplit(str(url))
if parts.username or parts.password:
host = parts.netloc.rsplit("@", 1)[-1]
return urlunsplit(parts._replace(netloc=host))
return str(url)
def __init__(
self,
backend/app/flow/pipeline.py
+14 -10
View File
@@ -932,16 +932,20 @@ class Pipeline:
"ts": time.time(),
}
)
self.apply_outputs(node, outputs)
state = self.run_downstream(node, entry_id=run_id)
self._publish(
{
"type": "cascade_finished",
"run": run_id,
"flow": node.flow,
"ts": time.time(),
}
)
try:
self.apply_outputs(node, outputs)
state = self.run_downstream(node, entry_id=run_id)
finally:
# Paired, or a cascade that raised leaves the run open until the
# abandoned sweep ten minutes later.
self._publish(
{
"type": "cascade_finished",
"run": run_id,
"flow": node.flow,
"ts": time.time(),
}
)
return state
def publish(
backend/app/flow/schemas.py
+4 -2
View File
@@ -48,8 +48,10 @@ class NodeDef(BaseModel):
default=None,
gt=0,
description=(
"Seconds this node's code may run before it is stopped. Above 60 "
"the engine may deliver its work again while it is still running."
"Seconds this node's code may run before it is stopped. This "
"covers the first call's imports, which can be much slower than "
"the body. Above 60 the engine may deliver its work again while "
"it is still running."
),
)
backend/app/flow/worker_main.py
+11 -2
View File
@@ -14,12 +14,21 @@ instead of corrupting the reply stream.
from __future__ import annotations
import os
import sys
# Handed to the interpreter by path, so CPython puts this file's own directory
# — the engine's ``app/flow`` — on ``sys.path[0]``. A node doing ``import
# queue`` would then get the engine's queue module rather than the standard
# library's. Drop it before anything else can import. (``-P`` and
# ``PYTHONSAFEPATH`` do this at startup, but both are 3.11+.)
_HERE = os.path.dirname(os.path.abspath(__file__))
sys.path[:] = [p for p in sys.path if os.path.abspath(p or ".") != _HERE]
import contextlib
import hashlib
import io
import json
import os
import sys
import traceback
from collections.abc import Callable
from types import ModuleType
backend/app/flow/workers.py
+58 -10
View File
@@ -36,6 +36,28 @@ WORKER_MAIN = Path(__file__).with_name("worker_main.py")
#: something a person is watching a spinner for.
COMPILE_TIMEOUT = 60.0
#: Environment the worker is not given. ``SECRET_KEY`` decrypts every stored
#: secret, not only the ones bound to the node asking.
ENV_DENY_PREFIXES = ("POSTGRES_", "FIRST_SUPERUSER", "SENTRY_DSN")
ENV_DENY_WORDS = ("PASSWORD", "SECRET", "TOKEN")
def worker_env() -> dict[str, str]:
"""The engine's environment with its credentials taken out.
A denylist, so ``PATH``, ``HOME``, the locale and whatever else a venv
needs still reach the worker. This is not a sandbox: the worker is the same
user in the same container, with the same filesystem and the same network.
It only means node code cannot read the deployment's secrets straight out
of its own environment.
"""
return {
key: value
for key, value in os.environ.items()
if not key.startswith(ENV_DENY_PREFIXES)
and not any(word in key.upper() for word in ENV_DENY_WORDS)
}
class RemoteError(Exception):
"""Something that went wrong inside a worker, re-raised on this side.
@@ -85,6 +107,7 @@ class _Worker:
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
close_fds=True,
env=worker_env(),
)
def alive(self) -> bool:
@@ -155,6 +178,7 @@ class PythonWorkerPool:
# cancel kills the newest. Key by run id if that ever matters.
self._running: dict[str, _Worker] = {}
self._generation = 0
self._stopped = False
self._lock = threading.Lock()
# -------------------------------------------------------------------------
@@ -167,12 +191,18 @@ class PythonWorkerPool:
self._idle.put(None)
def stop(self) -> None:
self._stopped = True
self._generation += 1
for worker in list(self._running.values()):
worker.kill()
for slot in self._drain():
if slot is not None:
slot.kill()
# A node thread can be blocked on a slot right now, and the threads are
# not daemons — without a sentinel each it waits for a worker that is
# never coming back, and the interpreter cannot exit.
for _ in range(self.size):
self._idle.put(None)
def respawn_all(self) -> None:
"""Retire every worker, so the next call picks up a changed venv.
@@ -201,7 +231,12 @@ class PythonWorkerPool:
def _acquire(self) -> _Worker:
"""Take a slot, blocking while every worker is busy — that is the backpressure."""
if self._stopped:
raise RemoteError("the worker pool is shutting down")
slot = self._idle.get()
if self._stopped:
# The sentinel stop() put back, so this is a wake-up rather than a slot.
raise RemoteError("the worker pool is shutting down")
if (
slot is not None
and slot.alive()
@@ -256,7 +291,16 @@ class PythonWorkerPool:
line = worker.read_line(time.monotonic() + timeout)
if line:
return dict(json.loads(line))
try:
return dict(json.loads(line))
except (TypeError, ValueError) as exc:
# A reply we cannot read leaves this worker out of step:
# whatever is still in its pipe would be taken by the next
# request on this slot as its own answer. Retire it.
worker.cancelled = True
raise RemoteError(
f"unreadable reply from the worker: {exc}"
) from exc
if worker.cancelled:
raise NodeCancelled("cancelled while it was running")
if line is None:
@@ -264,9 +308,12 @@ class PythonWorkerPool:
raise NodeTimeout(f"exceeded {timeout}s and was killed")
raise RemoteError("worker died")
finally:
if node_id:
self._running.pop(node_id, None)
self._release(worker)
# Under the lock, so a cancel that has already read this worker out
# of _running cannot kill it after another node has taken the slot.
with self._lock:
if node_id:
self._running.pop(node_id, None)
self._release(worker)
def compile(self, flow: str, node: str, source: str) -> str | None:
"""Load this source in a worker. Returns what to show the author, or None."""
@@ -330,12 +377,13 @@ class PythonWorkerPool:
def cancel(self, node_id: str) -> bool:
"""Stop a node that is running now. False when there was nothing to stop."""
worker = self._running.get(node_id)
if worker is None:
return False
worker.cancelled = True
worker.kill()
return True
with self._lock:
worker = self._running.get(node_id)
if worker is None:
return False
worker.cancelled = True
worker.kill()
return True
def _publish(self, event: dict[str, Any]) -> None:
if self.events is not None: