06f33be865
runner: gpu AND cpu are now a node pool. Per-node cpu_slots (primary 3, helpers 2, nodes.json-overridable); net stays primary-only. Python-less ops (ffmpeg/ffprobe) now run remotely on the node's system python3. Verified: 9 concurrent ffmpeg_frames distributed 4 local / 2 m1 / 2 m4. hunyuan3d_mlx: default to Studio-quality (octree 384, texture 4096, remesh 120k) — 4096 bake verified watchdog-free on M3 Ultra; big quality gain (defined face, 120k faces). remesh_faces now a param. All param-overridable.
359 lines
17 KiB
Python
359 lines
17 KiB
Python
"""Job runner: executes operators as subprocesses across concurrency lanes.
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Operator contract:
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<python> run.py --input <path> [--input <path> ...] --outdir <dir> --params '<json>'
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- inputs are passed in asset order (single-input ops get one --input)
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- stdout/stderr are streamed into the job log (secret values redacted)
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- operator writes outputs into outdir and (optionally) outdir/result.json:
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{"outputs": [{"path": "rel/or/abs", "name": "...", "meta": {...}}, ...],
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"summary": {...}}
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- if result.json is absent, every top-level file in outdir is registered
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Concurrency lanes (from manifest "resources"): gpu and cpu are a node pool
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(distributed across the primary + remote workers — gpu 1/node, cpu N/node);
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net=6 stays primary-only. Env from settings is injected; "requires_env" gates.
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"""
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import asyncio
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import json
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import os
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import signal
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import sys
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from pathlib import Path
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from . import db, remote, settings as settings_mod, store
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JOBS_DIR = db.DATA / "jobs"
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# gpu AND cpu are a NODE POOL (this Mac + remote workers): gpu runs 1 job/node
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# (one Metal device each), cpu runs per-node slots — LANE_LIMITS["cpu"] on the
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# primary, fewer on helpers (nodes.json "cpu_slots" overrides). net stays a
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# primary-only semaphore because the cloud API keys live only on the primary.
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LANE_LIMITS = {"cpu": 3, "net": 6}
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class Runner:
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def __init__(self):
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self.queue: asyncio.Queue[str] = asyncio.Queue()
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self.subscribers: dict = {} # websocket -> user dict (for per-user scoping)
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self.operators: dict[str, dict] = {}
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self.lanes: dict[str, asyncio.Semaphore] = {}
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self.gpu_nodes: list[dict] = [] # [{local}, {ssh,root,operators}, ...]
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self.procs: dict = {} # job_id -> subprocess
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self.cancelled: set[str] = set()
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self._tasks: set = set()
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self.get_settings = lambda: {} # set by main.py
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# -- pubsub -------------------------------------------------------------
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async def broadcast(self, message: dict):
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# "job" events carry a payload injected straight into the client's list, so
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# scope them: a guest only receives their own jobs (owner receives all).
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# "assets_changed" just triggers a per-user re-fetch, so send to everyone.
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job_uid = message.get("job", {}).get("user_id") if message.get("type") == "job" else None
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dead = []
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for ws, u in list(self.subscribers.items()):
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if job_uid is not None and u.get("role") != "owner" and job_uid != u.get("id"):
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continue
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try:
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await ws.send_json(message)
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except Exception:
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dead.append(ws)
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for ws in dead:
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self.subscribers.pop(ws, None)
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def lane_of(self, operator: str) -> str:
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op = self.operators.get(operator, {})
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lane = op.get("resources", "cpu")
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# gpu is a valid lane (the node pool) even though it isn't in LANE_LIMITS,
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# which holds only the semaphore lanes (cpu/net).
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return lane if lane in LANE_LIMITS or lane == "gpu" else "cpu"
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# -- job lifecycle --------------------------------------------------------
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def create_job(self, con, operator: str, asset_ids: list[str], params: dict,
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user_id: str | None = None) -> dict:
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job_id = db.new_id()
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outdir = JOBS_DIR / job_id
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outdir.mkdir(parents=True, exist_ok=True)
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primary = asset_ids[0] if asset_ids else None
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con.execute(
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"INSERT INTO jobs (id, operator, status, asset_id, asset_ids, params, outdir, created_at, user_id) "
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"VALUES (?, ?, 'queued', ?, ?, ?, ?, ?, ?)",
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(job_id, operator, primary, json.dumps(asset_ids),
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json.dumps(params), str(outdir), db.now(), user_id),
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)
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con.commit()
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self.queue.put_nowait(job_id)
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return self.get_job(con, job_id)
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def active_job_count(self, con, user_id: str) -> int:
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row = con.execute(
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"SELECT COUNT(*) c FROM jobs WHERE user_id = ? AND status IN ('queued','running')",
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(user_id,)).fetchone()
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return row["c"]
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def get_job(self, con, job_id: str) -> dict | None:
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row = con.execute("SELECT * FROM jobs WHERE id = ?", (job_id,)).fetchone()
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return db.row_to_dict(row) if row else None
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def list_jobs(self, con) -> list[dict]:
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rows = con.execute("SELECT * FROM jobs ORDER BY created_at DESC LIMIT 200").fetchall()
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return [db.row_to_dict(r) for r in rows]
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def input_paths(self, con, job: dict) -> list[str]:
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ids = job.get("asset_ids") or ([job["asset_id"]] if job.get("asset_id") else [])
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paths = []
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for aid in ids:
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asset = store.get_asset(con, aid)
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if asset:
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paths.append(asset["path"])
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return paths
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async def cancel(self, con, job_id: str) -> bool:
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job = self.get_job(con, job_id)
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if not job or job["status"] in ("done", "error", "cancelled"):
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return False
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self.cancelled.add(job_id)
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proc = self.procs.get(job_id)
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if proc and proc.returncode is None:
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try:
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os.killpg(os.getpgid(proc.pid), signal.SIGTERM)
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except (ProcessLookupError, PermissionError):
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pass
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else: # queued but not yet started
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await self._update(con, job_id, status="cancelled", finished_at=db.now())
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return True
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def delete_job(self, con, job_id: str) -> bool:
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job = self.get_job(con, job_id)
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if not job or job_id in self.procs:
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return False
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import shutil
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if job.get("outdir"):
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shutil.rmtree(job["outdir"], ignore_errors=True)
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con.execute("DELETE FROM jobs WHERE id = ?", (job_id,))
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con.commit()
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return True
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async def _update(self, con, job_id: str, **fields):
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sets = ", ".join(f"{k} = ?" for k in fields)
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con.execute(f"UPDATE jobs SET {sets} WHERE id = ?", (*fields.values(), job_id))
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con.commit()
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job = self.get_job(con, job_id)
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await self.broadcast({"type": "job", "job": job})
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# -- worker -----------------------------------------------------------------
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async def worker(self):
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con = db.connect()
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for key in LANE_LIMITS:
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self.lanes[key] = asyncio.Semaphore(LANE_LIMITS[key])
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self.gpu_nodes = remote.load_gpu_nodes()
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for n in self.gpu_nodes:
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n.setdefault("inflight", {"gpu": 0, "cpu": 0})
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names = ", ".join(n.get("name", n.get("ssh", "?")) for n in self.gpu_nodes)
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print(f"[runner] node pool (gpu 1/node + cpu distributed): {names}", flush=True)
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# re-queue jobs left running/queued by a previous process
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for row in con.execute("SELECT id FROM jobs WHERE status IN ('queued','running')"):
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con.execute("UPDATE jobs SET status='queued' WHERE id = ?", (row["id"],))
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self.queue.put_nowait(row["id"])
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con.commit()
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while True:
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job_id = await self.queue.get()
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task = asyncio.create_task(self._run_lane(con, job_id))
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self._tasks.add(task)
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task.add_done_callback(self._tasks.discard)
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async def _run_lane(self, con, job_id: str):
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job = self.get_job(con, job_id)
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if not job: # deleted while queued
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self.cancelled.discard(job_id)
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return
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if job_id in self.cancelled:
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self.cancelled.discard(job_id)
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await self._update(con, job_id, status="cancelled", finished_at=db.now())
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return
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lane = self.lane_of(job["operator"])
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if lane in ("gpu", "cpu"): # pooled lanes — distribute across the node pool
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node = await self._acquire_node(job["operator"], lane)
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try:
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if job_id in self.cancelled:
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self.cancelled.discard(job_id)
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await self._update(con, job_id, status="cancelled", finished_at=db.now())
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return
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await self._run_job(con, job_id, node=node)
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except Exception as e:
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await self._update(con, job_id, status="error", error=str(e), finished_at=db.now())
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finally:
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self._release_node(node, lane)
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return
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async with self.lanes[lane]: # net: cloud keys live on the primary — not pooled
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if job_id in self.cancelled:
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self.cancelled.discard(job_id)
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await self._update(con, job_id, status="cancelled", finished_at=db.now())
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return
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try:
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await self._run_job(con, job_id)
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except Exception as e:
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await self._update(con, job_id, status="error", error=str(e), finished_at=db.now())
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def _node_capacity(self, node: dict, lane: str) -> int:
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"""Max concurrent jobs of this lane a node may run. gpu=1 (one Metal
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device per Mac); cpu=per-node slots (small helper nodes get fewer),
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overridable per node in nodes.json via "cpu_slots"; net is not pooled
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(cloud keys live only on the primary)."""
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if lane == "gpu":
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return 1
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if lane == "cpu":
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default = LANE_LIMITS["cpu"] if node.get("local") else 2
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return int(node.get("cpu_slots", default))
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return 0
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async def _acquire_node(self, op_id: str, lane: str) -> dict:
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"""Return the first node with free capacity in this lane that supports the
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operator (local always does; a remote must list it + be reachable). Polls."""
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while True:
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for n in self.gpu_nodes:
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if not remote.node_supports(n, op_id):
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continue
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cap = self._node_capacity(n, lane)
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if cap <= 0 or n["inflight"].get(lane, 0) >= cap:
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continue
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n["inflight"][lane] = n["inflight"].get(lane, 0) + 1 # reserve before the await
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if not n.get("local") and not await remote.healthy(n):
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n["inflight"][lane] -= 1 # unreachable right now; release and keep looking
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continue
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return n
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await asyncio.sleep(0.25)
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def _release_node(self, node: dict, lane: str) -> None:
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if node is not None and "inflight" in node:
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node["inflight"][lane] = max(0, node["inflight"].get(lane, 0) - 1)
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async def _run_job(self, con, job_id: str, node: dict | None = None):
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job = self.get_job(con, job_id)
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if not job:
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return
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op = self.operators.get(job["operator"])
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if not op:
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await self._update(con, job_id, status="error",
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error=f"unknown operator {job['operator']}", finished_at=db.now())
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return
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cur_settings = self.get_settings()
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env = os.environ.copy()
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# least privilege: only this operator's declared paid keys (+ HF/infra) reach
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# the subprocess, so guest local jobs never get the owner's fal/OpenRouter keys
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env.update(settings_mod.env_for_operator(cur_settings, op.get("requires_env")))
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secrets = settings_mod.secret_values(cur_settings)
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missing = [e for e in op.get("requires_env", []) if not env.get(e)]
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if missing:
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keys = ", ".join(sorted({k for k, v in settings_mod.ENV_MAP.items() if v in missing}))
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await self._update(con, job_id, status="error",
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error=f"missing setting(s): {keys} — add them in Settings",
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finished_at=db.now())
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return
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outdir = Path(job["outdir"])
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params_json = json.dumps(job["params"])
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local_inputs = self.input_paths(con, job)
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entry = Path(op["dir"]) / op.get("entry", "run.py")
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# manifest "python" may be repo-relative (portable) or absolute (legacy)
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op_py_rel = op.get("python")
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op_py_abs = (str(db.ROOT / op_py_rel)
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if op_py_rel and not Path(op_py_rel).is_absolute() else op_py_rel)
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node = node or {"local": True, "name": "local"}
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if node.get("local"):
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python = op_py_abs or sys.executable
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if op_py_abs and not Path(python).exists():
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await self._update(con, job_id, status="error", finished_at=db.now(),
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error=f"operator not installed — {python} missing. "
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f"Run its install script under scripts/.")
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return
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cmd = [python, str(entry), "--outdir", str(outdir), "--params", params_json]
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for p in local_inputs:
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cmd += ["--input", p]
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run_env = env
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else: # remote node: rsync inputs out, run over ssh, rsync outputs back
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if op_py_rel and Path(op_py_rel).is_absolute():
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await self._update(con, job_id, status="error", finished_at=db.now(),
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error="operator has an absolute python path — can't run remotely")
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return
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# python-less ops (ffmpeg/ffprobe wrappers) run on the node's system
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# python3, resolved via the remote login shell (bash -lc in remote_cmd).
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remote_python = op_py_rel or "python3"
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try:
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remote_inputs = await remote.prepare(node, job_id, local_inputs)
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except Exception as e:
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await self._update(con, job_id, status="error", finished_at=db.now(),
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error=f"remote prepare failed: {e}")
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return
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entry_rel = os.path.relpath(str(entry), str(db.ROOT))
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cmd = remote.remote_cmd(node, op["id"], remote_python, entry_rel,
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job_id, params_json, remote_inputs)
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run_env = os.environ.copy()
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await self._update(con, job_id, status="running", started_at=db.now())
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proc = await asyncio.create_subprocess_exec(
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*cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.STDOUT,
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start_new_session=True, env=run_env)
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self.procs[job_id] = proc
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log_lines: list[str] = [f"[node: {node.get('name', 'local')}]\n"]
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assert proc.stdout
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try:
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async for raw in proc.stdout:
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log_lines.append(raw.decode(errors="replace"))
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if len(log_lines) % 5 == 0:
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log = settings_mod.redact("".join(log_lines)[-100_000:], secrets)
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await self._update(con, job_id, log=log)
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code = await proc.wait()
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finally:
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self.procs.pop(job_id, None)
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log = settings_mod.redact("".join(log_lines)[-100_000:], secrets)
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if job_id in self.cancelled:
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self.cancelled.discard(job_id)
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await self._update(con, job_id, status="cancelled", log=log, finished_at=db.now())
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return
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if code != 0:
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await self._update(con, job_id, status="error", log=log,
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error=f"exit code {code}", finished_at=db.now())
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return
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if not node.get("local"): # pull the remote outputs into the local job dir
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try:
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await remote.collect(node, job_id, outdir)
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except Exception as e:
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await self._update(con, job_id, status="error", log=log,
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error=f"remote collect failed: {e}", finished_at=db.now())
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return
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registered = self._register_outputs(con, outdir, job_id)
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await self._update(con, job_id, status="done", log=log, finished_at=db.now())
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await self.broadcast({"type": "assets_changed", "job_id": job_id, "assets": registered})
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def _register_outputs(self, con, outdir: Path, job_id: str) -> list[str]:
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result_path = outdir / "result.json"
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registered = []
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# outputs belong to whoever ran the job — guests see only their own
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# assets, so registering without user_id hides a guest's results from them
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row = con.execute("SELECT user_id FROM jobs WHERE id = ?", (job_id,)).fetchone()
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owner_id = row["user_id"] if row else None
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if result_path.exists():
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result = json.loads(result_path.read_text())
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for out in result.get("outputs", []):
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p = Path(out["path"])
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if not p.is_absolute():
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p = outdir / p
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if p.exists():
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a = store.register_file(con, p, name=out.get("name"),
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parent_job=job_id, move=True, meta=out.get("meta"),
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user_id=owner_id)
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registered.append(a["id"])
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else:
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for p in sorted(outdir.iterdir()):
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if p.name == "result.json" or p.name.startswith("."):
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continue
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a = store.register_file(con, p, parent_job=job_id, move=True, user_id=owner_id)
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registered.append(a["id"])
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return registered
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runner = Runner()
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