Five concurrent training nodes, each sizing its thread pool to every core,
left the engine's own event loop unscheduled: the API stopped answering
within 10 s and every client died. The same shape on a GPU deadlocked a run
for 21 minutes at 0% utilisation with nothing failing and nothing to read --
it just sat in `running`.
@node(resources={"cpus": 2}) is the declaration. The engine holds that much
for the length of the execution, so more of them than the machine has room
for wait their turn rather than oversubscribing it, and a `gpus` node holds
its card exclusively. FLOW_CPUS defaults to every core but two, and those two
are what keeps the engine answering.
Because a thread cap is read when the process imports the library, a warm
worker cannot be told a different one -- so an environment gets a pool of its
own and nodes deriving the same one share it, rather than paying a cold start
per call on exactly the nodes whose imports are slowest. XLA_FLAGS is never
derived: it is a composed, version-dependent string, so it travels in
resources.env where it is visible.
A node that declares nothing is not accounted for and behaves as it always
did -- it just gets FLOW_CPUS/FLOW_MAX_WORKERS as a thread cap, which is the
half of this that fixes the reported incident without anybody declaring
anything. An operator who set OMP_NUM_THREADS themselves still wins.
Resources are claimed strictly before a worker slot, so the two blocking
waits cannot deadlock. A node queued for them publishes node_queued and shows
on GET /workers/resources, because waiting and hanging looked identical.
Accounted, not enforced: no cgroups, no rlimits. Scheduling across machines,
flavours and enforcement are the next steps.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
314 lines
12 KiB
Python
314 lines
12 KiB
Python
import asyncio
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import contextlib
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from collections.abc import AsyncIterator
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from contextlib import AbstractAsyncContextManager, asynccontextmanager
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import sentry_sdk
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from fastapi import FastAPI, Request
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from fastapi.concurrency import run_in_threadpool
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from fastapi.responses import JSONResponse
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from fastapi.routing import APIRoute
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from fluksio_worker.worker_main import ARTIFACT_DIR_ENV
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from starlette.middleware.cors import CORSMiddleware
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from fluksio.api.main import api_router
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from fluksio.api.routes.alerts import read_config as read_alerts_config
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from fluksio.cloud import config as cloud_config
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from fluksio.core import security
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from fluksio.core.config import settings
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from fluksio.core.db import engine as db_engine
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from fluksio.core.db import prepare
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from fluksio.flow import logs, modules
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from fluksio.flow.alerts import AlertManager
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from fluksio.flow.artifacts import ArtifactStore
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from fluksio.flow.controller import FlowController, RebuildBusy
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from fluksio.flow.dashboards import DashboardStore
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from fluksio.flow.events import event_bus
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from fluksio.flow.executor import ExecutionService
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from fluksio.flow.metrics import MetricsCollector
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from fluksio.flow.nodes.http import close_shared_client
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from fluksio.flow.pipeline import ValueSource
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from fluksio.flow.plugins import load_plugins
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from fluksio.flow.queue import MemoryWorkQueue, RedisWorkQueue, WorkQueue
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from fluksio.flow.remote import RemoteWorkerHub
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from fluksio.flow.resources import ResourceAccountant, fair_share_env
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from fluksio.flow.runs import RUN_STATE_TTL, RunService
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from fluksio.flow.secrets import init_secrets
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from fluksio.flow.state import MemoryState, RedisState, StateBackend
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from fluksio.flow.store import FlowStore
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from fluksio.flow.watchdog import LoopWatchdog
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from fluksio.flow.workers import PythonWorkerPool
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def custom_generate_unique_id(route: APIRoute) -> str:
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return f"{route.tags[0]}-{route.name}"
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if settings.SENTRY_DSN and settings.ENVIRONMENT != "local":
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# `enable_tracing` was removed in sentry-sdk 2.x; this is what it meant.
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sentry_sdk.init(dsn=str(settings.SENTRY_DSN), traces_sample_rate=1.0)
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def _state_backend() -> StateBackend:
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if settings.REDIS_HOST:
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return RedisState(host=settings.REDIS_HOST, port=settings.REDIS_PORT)
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return MemoryState()
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def _work_queue(namespace: str = "queue") -> WorkQueue:
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"""Redis makes queued work survive the process; memory does not pretend to."""
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if settings.REDIS_HOST:
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return RedisWorkQueue(
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host=settings.REDIS_HOST, port=settings.REDIS_PORT, namespace=namespace
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)
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return MemoryWorkQueue()
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def _run_state(namespace: str) -> StateBackend:
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"""A state backend of a run's own, which is what isolates it.
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It expires: a finished run's messages are read out into its result, and
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what is left is only worth keeping while someone might look at it.
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"""
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if settings.REDIS_HOST:
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return RedisState(
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host=settings.REDIS_HOST,
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port=settings.REDIS_PORT,
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namespace=namespace,
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ttl=RUN_STATE_TTL,
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)
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return MemoryState()
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def _mcp_sessions() -> AbstractAsyncContextManager[None]:
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"""The MCP session manager's run scope, or nothing when MCP is off."""
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if not settings.MCP_ENABLED:
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return contextlib.nullcontext()
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from fluksio.mcp.server import mcp as mcp_server
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return mcp_server.session_manager.run()
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@asynccontextmanager
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async def lifespan(app: FastAPI) -> AsyncIterator[None]:
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"""Start the flow engine alongside the API."""
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# The schema and the first superuser, before anything reads either. It is
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# idempotent, so a deployment that ran this from its own prestart step
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# pays a version check for it and nothing else.
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await run_in_threadpool(prepare, db_engine)
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event_bus.bind(asyncio.get_running_loop())
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# Node code is user code, and `print` is how it says things.
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logs.install()
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init_secrets(settings.SECRETS_FILE, settings.SECRET_KEY)
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# Connectors register their node types before any flow is built with them.
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load_plugins()
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alerts = AlertManager(event_bus, config=read_alerts_config())
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execution = ExecutionService(
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queue=_work_queue(),
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max_workers=settings.FLOW_MAX_WORKERS,
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events=event_bus,
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max_cascades=settings.FLOW_MAX_CASCADES,
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)
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store = FlowStore(settings.FLOWS_DIR)
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# The packages node code imports, before anything tries to import them.
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await run_in_threadpool(modules.reconcile, store)
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# Beside the flows rather than in them: an artifact is what a run produced,
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# not something anyone wrote, so it has no business in the git repository.
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artifacts = ArtifactStore(settings.FLOWS_DIR.parent / "artifacts")
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app.state.artifact_store = artifacts
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accountant = ResourceAccountant(
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cpus=settings.FLOW_CPUS, gpus=settings.FLOW_GPUS, events=event_bus
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)
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app.state.resources = accountant
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pool = PythonWorkerPool(
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python=modules.venv_python(),
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size=settings.FLOW_MAX_WORKERS,
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events=event_bus,
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# A worker in this container writes to the store directly; a remote one
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# is given a URL instead. Node code calls the same two functions.
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env={
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ARTIFACT_DIR_ENV: str(artifacts.root),
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# Every slot can be busy at once, so a worker left to size its own
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# thread pool to the machine means as many processes as there are
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# slots, each believing it has the whole of it. A node that says
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# what it needs overrides this; one that says nothing gets a share.
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**fair_share_env(accountant.cpus, settings.FLOW_MAX_WORKERS),
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},
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)
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pool.start()
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app.state.worker_pool = pool
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worker_hub = RemoteWorkerHub()
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app.state.worker_hub = worker_hub
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controller = FlowController(
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store=store,
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state=_state_backend(),
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events=event_bus,
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max_workers=settings.FLOW_MAX_WORKERS,
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fastapi_app=app,
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execution=execution,
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alerts=alerts,
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workers=pool,
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remote=worker_hub,
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resources=accountant,
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)
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app.state.flow_controller = controller
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# A "dashboard" alert channel puts its alert into the graph. Bound here
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# rather than passed in: the manager is built before the controller is.
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alerts.publish = lambda name, value: controller.publish_message(
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name, value, ValueSource(kind="api", id="alerts", label="Alerts")
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)
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dashboards = DashboardStore(controller.store)
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app.state.dashboard_store = dashboards
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controller.dashboards = dashboards
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# Charts need a deeper series than the default; tell the engine
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# before it starts recording.
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controller.set_history_limits(dashboards.history_requirements())
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# Runs read from a stream of their own: a burst of sweep runs must not
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# stand between the automations and their work, and a run that takes an
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# hour must not be judged by the cascade reaper's timings.
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run_service = RunService(
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controller=controller,
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queue=_work_queue("run"),
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state_factory=_run_state,
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artifacts=artifacts,
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)
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app.state.run_service = run_service
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watchdog = LoopWatchdog(event_bus)
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app.state.watchdog = watchdog
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watchdog_task = asyncio.create_task(watchdog.run(), name="loop-watchdog")
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alerts_task = asyncio.create_task(alerts.run(), name="alert-manager")
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metrics_task = asyncio.create_task(
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MetricsCollector(event_bus).run(), name="metrics-collector"
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)
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await controller.start()
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run_service.start()
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# Optional, and off unless someone enrolled this installation: the
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# connector dials the portal, nothing dials in.
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cloud_task: asyncio.Task[None] | None = None
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app.state.cloud_connector = None
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app.state.cloud_task = None
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from fluksio.cloud import connector as cloud_connector
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if cloud_config.exists():
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cloud_connector.start(app)
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cloud_task = app.state.cloud_task
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# Watched whether or not one exists now: enrolling from the CLI writes the
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# config from another process entirely, and an engine already serving
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# should pick it up rather than need restarting.
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enrol_task = asyncio.create_task(
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cloud_connector.watch_enrolment(app), name="cloud-enrolment-watch"
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)
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try:
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# A mounted sub-app gets no lifespan of its own, so the MCP session
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# manager is entered here; without it every /mcp request fails.
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async with _mcp_sessions():
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yield
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finally:
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watchdog_task.cancel()
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alerts_task.cancel()
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metrics_task.cancel()
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enrol_task.cancel()
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# Re-read from app.state: enrolling at runtime replaces this.
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running_cloud = getattr(app.state, "cloud_task", None) or cloud_task
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if running_cloud is not None:
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running_cloud.cancel()
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await run_in_threadpool(run_service.stop)
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await controller.stop()
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pool.stop()
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close_shared_client()
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if settings.MCP_ENABLED:
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from fluksio.mcp.http import aclose
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await aclose()
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# The schema enumerates every endpoint this installation serves, including the
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# paths trigger nodes mount at runtime. That is exactly what a developer wants
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# and exactly what an internet-facing deployment should not hand out, so it
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# follows the environment — the same rule the portal's backend uses. The
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# generated client is built from a local run, not from the deployed host.
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_docs_enabled = settings.ENVIRONMENT != "production"
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app = FastAPI(
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title=settings.PROJECT_NAME,
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openapi_url=f"{settings.API_V1_STR}/openapi.json" if _docs_enabled else None,
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docs_url="/docs" if _docs_enabled else None,
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redoc_url="/redoc" if _docs_enabled else None,
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generate_unique_id_function=custom_generate_unique_id,
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lifespan=lifespan,
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)
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# Set all CORS enabled origins
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if settings.all_cors_origins:
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app.add_middleware(
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CORSMiddleware,
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allow_origins=settings.all_cors_origins,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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app.include_router(api_router, prefix=settings.API_V1_STR)
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@app.exception_handler(RebuildBusy)
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async def rebuild_busy(request: Request, exc: RebuildBusy) -> JSONResponse: # noqa: ARG001
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"""Every route that deploys something answers a wedged rebuild the same way.
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The request was fine and retrying it may well work, so this is the engine
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saying it is busy rather than the request having gone wrong.
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"""
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return JSONResponse(status_code=503, content={"detail": str(exc)})
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# Tagged because the operation-id builder reads the first tag; the route
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# itself stays out of the schema.
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@app.get(
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"/.well-known/oauth-authorization-server",
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include_in_schema=False,
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tags=["oauth"],
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)
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def oauth_authorization_server() -> JSONResponse:
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"""RFC 8414 metadata, so an agent can find its way in unaided.
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The authorization endpoint is the dashboard rather than the API: approving
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a client needs a signed-in human, and the browser session lives there.
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"""
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issuer = settings.oauth_issuer
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return JSONResponse(
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content={
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"issuer": issuer,
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"authorization_endpoint": (
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f"{settings.FRONTEND_HOST.rstrip('/')}/oauth/authorize"
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),
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"token_endpoint": f"{issuer}{settings.API_V1_STR}/oauth/token",
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"registration_endpoint": f"{issuer}{settings.API_V1_STR}/oauth/register",
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"jwks_uri": f"{issuer}/.well-known/jwks.json",
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"response_types_supported": ["code"],
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"grant_types_supported": ["authorization_code", "refresh_token"],
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"code_challenge_methods_supported": ["S256"],
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"token_endpoint_auth_methods_supported": ["none"],
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"scopes_supported": [security.MCP_SCOPE],
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},
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headers={"Cache-Control": "public, max-age=3600"},
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)
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@app.get("/.well-known/jwks.json", include_in_schema=False, tags=["oauth"])
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def jwks() -> JSONResponse:
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"""The public half of the MCP signing key."""
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return JSONResponse(
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content=security.public_jwks(),
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headers={"Cache-Control": "public, max-age=3600"},
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)
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# Mounted last, and at the root: the SDK serves both /mcp and the protected
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# resource metadata that has to sit beside it, so mounting under /mcp would put
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# that metadata somewhere no client looks for it.
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if settings.MCP_ENABLED:
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from fluksio.mcp.http import build_http_app
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app.mount("/", build_http_app(app))
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