Spaces:
Sleeping
Sleeping
feat: background analysis jobs servisi ile fair queueing ve caching eklendi
Browse files- app/services/analysis_jobs.py +232 -26
app/services/analysis_jobs.py
CHANGED
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@@ -1,26 +1,41 @@
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"""
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Background analysis jobs
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POST /api/analyze/jobs starts a job and returns its id; the client polls
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GET /api/analyze/jobs/{id}.
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"""
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from __future__ import annotations
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import asyncio
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import time
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import uuid
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from dataclasses import dataclass, field
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from typing import Any, Awaitable, Callable, Dict, List, Optional
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JOB_TTL_SEC = 15 * 60
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MAX_JOBS = 200
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STEP_PENDING = "pending"
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STEP_RUNNING = "running"
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@@ -32,13 +47,24 @@ FILE_STEPS = ["features", "vocals", "wav2vec2", "clap", "fst", "xai", "meta"]
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URL_STEPS = ["download", *FILE_STEPS]
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class Progress:
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"""Ordered step states for one analysis
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def __init__(self, steps: List[str]) -> None:
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self._steps: Dict[str, str] = {s: STEP_PENDING for s in steps}
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self._started: Dict[str, float] = {}
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self._took: Dict[str, float] = {}
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def set(self, step: str, state: str) -> None:
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if step not in self._steps:
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@@ -54,6 +80,15 @@ class Progress:
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for s in steps:
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self.set(s, STEP_RUNNING)
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def snapshot(self) -> List[Dict[str, Any]]:
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out: List[Dict[str, Any]] = []
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for step, state in self._steps.items():
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@@ -64,72 +99,243 @@ class Progress:
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return out
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@dataclass
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class Job:
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id: str
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source_type: str
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progress: Progress
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created: float = field(default_factory=time.time)
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updated: float = field(default_factory=time.time)
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response: Optional[Dict[str, Any]] = None
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task: Optional[asyncio.Task] = None
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def to_dict(self) -> Dict[str, Any]:
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"jobId": self.id,
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"sourceType": self.source_type,
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"status": self.status,
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"steps": self.progress.snapshot(),
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"elapsedSec": round((self.updated if self.status
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"response": self.response,
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}
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class JobStore:
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def __init__(self) -> None:
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self._jobs: Dict[str, Job] = {}
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def _prune(self) -> None:
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cutoff = time.time() - JOB_TTL_SEC
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for job_id in [j.id for j in self._jobs.values() if j.status
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del self._jobs[job_id]
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# Hard cap: drop the oldest finished jobs first.
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if len(self._jobs) > MAX_JOBS:
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finished = sorted((j for j in self._jobs.values() if j.status
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for job in finished[: len(self._jobs) - MAX_JOBS]:
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del self._jobs[job.id]
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def running_count(self) -> int:
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return sum(1 for j in self._jobs.values() if j.status == "running")
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def start(
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source_type: str,
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steps: List[str],
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work: Callable[[Progress], Awaitable[Dict[str, Any]]],
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) -> Job:
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self._prune()
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self._jobs[job.id] = job
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async def runner() -> None:
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try:
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job.response = await work(job
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except Exception: # noqa: BLE001 — the job must always settle
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job.response = {"result": None, "warnings": [], "errors": ["internal_error"]}
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job.status = "error"
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finally:
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job.updated = time.time()
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# Keep a reference: asyncio only holds weak references to tasks.
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job.task = asyncio.create_task(runner())
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return job
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def get(self, job_id: str) -> Optional[Job]:
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self._prune()
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job_store = JobStore()
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"""
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+
Background analysis jobs: a fair queue in front of the CPU, real per-step
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progress, cancellation, and a small result cache.
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POST /api/analyze/jobs starts a job and returns its id; the client polls
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GET /api/analyze/jobs/{id}. The Space has two vCPUs and one analysis
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already keeps both busy, so jobs take the CPU one at a time (CPU_SLOTS) in
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arrival order and everyone else sees their place in the queue. Network
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waits (YouTube download, the external FST model) happen outside that slot.
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A job belongs to whoever polls it. One that nobody has polled for a while
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when its turn comes (the tab was closed) is dropped instead of analysed.
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A reloaded page resumes polling the same id, so it isn't dropped.
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State lives in process memory: the Space runs one replica, and a job only
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has to outlive the request that started it, not a restart.
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"""
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from __future__ import annotations
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import asyncio
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import os
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import time
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import uuid
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from collections import OrderedDict
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from contextlib import asynccontextmanager
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from dataclasses import dataclass, field
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from typing import Any, AsyncIterator, Awaitable, Callable, Dict, List, Optional
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JOB_TTL_SEC = 15 * 60
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MAX_JOBS = 200
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# Jobs waiting or running at once; beyond this, new ones get 503.
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MAX_PENDING = int(os.getenv("AURIS_MAX_PENDING", "24"))
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CPU_SLOTS = int(os.getenv("AURIS_CPU_SLOTS", "1"))
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# Unpolled this long when its turn comes: the visitor has gone.
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ABANDON_SEC = 180.0
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CACHE_SIZE = 64
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CACHE_TTL_SEC = 6 * 3600
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STEP_PENDING = "pending"
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STEP_RUNNING = "running"
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URL_STEPS = ["download", *FILE_STEPS]
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class JobCancelled(Exception):
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"""Raised inside a pipeline when its job was cancelled or abandoned."""
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def __init__(self, code: str = "cancelled") -> None:
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super().__init__(code)
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self.code = code
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class Progress:
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"""Ordered step states for one analysis, plus its cancel flag."""
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def __init__(self, steps: List[str]) -> None:
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self._steps: Dict[str, str] = {s: STEP_PENDING for s in steps}
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self._started: Dict[str, float] = {}
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self._took: Dict[str, float] = {}
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self.cancelled = False
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# Returns True when nobody is waiting for the result any more.
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self.gone: Callable[[], Awaitable[bool]] = _never
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def set(self, step: str, state: str) -> None:
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if step not in self._steps:
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for s in steps:
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self.set(s, STEP_RUNNING)
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def skip_pending(self) -> None:
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for step, state in self._steps.items():
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if state in (STEP_PENDING, STEP_RUNNING):
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self._steps[step] = STEP_SKIPPED
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def check(self) -> None:
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if self.cancelled:
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raise JobCancelled("cancelled")
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def snapshot(self) -> List[Dict[str, Any]]:
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out: List[Dict[str, Any]] = []
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for step, state in self._steps.items():
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return out
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async def _never() -> bool:
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return False
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class CpuGate:
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"""First come, first served access to the CPU-heavy stage."""
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def __init__(self, slots: int) -> None:
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self._slots = max(1, slots)
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self._busy = 0
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self._waiting: List[str] = []
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self._events: Dict[str, asyncio.Event] = {}
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# Mean seconds a job holds the CPU; None until one has finished.
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self._mean: Optional[float] = None
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def position(self, ticket: str) -> Optional[int]:
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"""1-based place in the queue, or None when not waiting."""
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try:
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return self._waiting.index(ticket) + 1
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except ValueError:
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return None
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def estimated_wait(self, position: int) -> Optional[float]:
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if self._mean is None:
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return None
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# Everyone ahead, plus whatever is on the CPU now (half done on average).
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return round(((position - 1) / self._slots + (0.5 if self._busy else 0)) * self._mean, 1)
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@property
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def waiting(self) -> int:
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return len(self._waiting)
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@property
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def busy(self) -> int:
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return self._busy
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def _wake(self) -> None:
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while self._waiting and self._busy < self._slots:
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ticket = self._waiting.pop(0)
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self._busy += 1
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self._events.pop(ticket).set()
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@asynccontextmanager
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async def slot(self, ticket: str, progress: Optional[Progress] = None) -> AsyncIterator[None]:
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event = asyncio.Event()
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self._events[ticket] = event
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self._waiting.append(ticket)
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self._wake()
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try:
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await event.wait()
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except BaseException:
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if ticket in self._waiting:
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self._waiting.remove(ticket)
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self._events.pop(ticket, None)
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else:
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self._release()
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raise
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started = time.monotonic()
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try:
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if progress is not None:
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progress.check()
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if await progress.gone():
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raise JobCancelled("job_abandoned")
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yield
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finally:
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held = time.monotonic() - started
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if held > 1.0:
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self._mean = held if self._mean is None else self._mean * 0.7 + held * 0.3
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self._release()
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def _release(self) -> None:
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self._busy = max(0, self._busy - 1)
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self._wake()
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cpu_gate = CpuGate(CPU_SLOTS)
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class ResultCache:
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"""Recent successful responses by content key (same file, same link)."""
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def __init__(self, size: int, ttl: float) -> None:
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self._size = size
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self._ttl = ttl
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self._items: "OrderedDict[str, tuple[float, Dict[str, Any]]]" = OrderedDict()
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def get(self, key: Optional[str]) -> Optional[Dict[str, Any]]:
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if not key or key not in self._items:
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return None
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stored, value = self._items[key]
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if time.time() - stored > self._ttl:
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del self._items[key]
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return None
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self._items.move_to_end(key)
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return value
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def put(self, key: Optional[str], value: Dict[str, Any]) -> None:
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if not key or value.get("errors") or not value.get("result"):
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return
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self._items[key] = (time.time(), value)
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self._items.move_to_end(key)
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while len(self._items) > self._size:
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self._items.popitem(last=False)
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result_cache = ResultCache(CACHE_SIZE, CACHE_TTL_SEC)
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@dataclass
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class Job:
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id: str
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source_type: str
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progress: Progress
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key: Optional[str] = None
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created: float = field(default_factory=time.time)
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updated: float = field(default_factory=time.time)
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last_seen: float = field(default_factory=time.monotonic)
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status: str = "queued" # queued | running | done | error
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cached: bool = False
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| 221 |
response: Optional[Dict[str, Any]] = None
|
| 222 |
task: Optional[asyncio.Task] = None
|
| 223 |
|
| 224 |
def to_dict(self) -> Dict[str, Any]:
|
| 225 |
+
data: Dict[str, Any] = {
|
| 226 |
"jobId": self.id,
|
| 227 |
"sourceType": self.source_type,
|
| 228 |
"status": self.status,
|
| 229 |
"steps": self.progress.snapshot(),
|
| 230 |
+
"elapsedSec": round((self.updated if self.status in ("done", "error") else time.time()) - self.created, 2),
|
| 231 |
"response": self.response,
|
| 232 |
}
|
| 233 |
+
position = cpu_gate.position(self.id)
|
| 234 |
+
if self.status == "queued" and position is not None:
|
| 235 |
+
data["queue"] = {"position": position, "estimatedWaitSec": cpu_gate.estimated_wait(position)}
|
| 236 |
+
if self.cached:
|
| 237 |
+
data["cached"] = True
|
| 238 |
+
return data
|
| 239 |
+
|
| 240 |
+
|
| 241 |
+
class QueueFull(Exception):
|
| 242 |
+
pass
|
| 243 |
+
|
| 244 |
+
|
| 245 |
+
Work = Callable[[Job], Awaitable[Dict[str, Any]]]
|
| 246 |
|
| 247 |
|
| 248 |
class JobStore:
|
| 249 |
def __init__(self) -> None:
|
| 250 |
self._jobs: Dict[str, Job] = {}
|
| 251 |
+
self._inflight: Dict[str, str] = {}
|
| 252 |
|
| 253 |
def _prune(self) -> None:
|
| 254 |
cutoff = time.time() - JOB_TTL_SEC
|
| 255 |
+
for job_id in [j.id for j in self._jobs.values() if j.status in ("done", "error") and j.updated < cutoff]:
|
| 256 |
del self._jobs[job_id]
|
|
|
|
| 257 |
if len(self._jobs) > MAX_JOBS:
|
| 258 |
+
finished = sorted((j for j in self._jobs.values() if j.status in ("done", "error")), key=lambda j: j.updated)
|
| 259 |
for job in finished[: len(self._jobs) - MAX_JOBS]:
|
| 260 |
del self._jobs[job.id]
|
| 261 |
|
| 262 |
+
def pending_count(self) -> int:
|
| 263 |
+
return sum(1 for j in self._jobs.values() if j.status in ("queued", "running"))
|
| 264 |
+
|
| 265 |
def running_count(self) -> int:
|
| 266 |
return sum(1 for j in self._jobs.values() if j.status == "running")
|
| 267 |
|
| 268 |
+
def start(self, source_type: str, steps: List[str], work: Work, key: Optional[str] = None) -> Job:
|
| 269 |
+
"""Queue a job; the same file or link already in flight is shared, a recent one is served from cache."""
|
|
|
|
|
|
|
|
|
|
|
|
|
| 270 |
self._prune()
|
| 271 |
+
if key and key in self._inflight:
|
| 272 |
+
shared = self._jobs.get(self._inflight[key])
|
| 273 |
+
if shared and shared.status in ("queued", "running"):
|
| 274 |
+
shared.last_seen = time.monotonic()
|
| 275 |
+
return shared
|
| 276 |
+
|
| 277 |
+
job = Job(id=uuid.uuid4().hex, source_type=source_type, progress=Progress(steps), key=key)
|
| 278 |
+
hit = result_cache.get(key)
|
| 279 |
+
if hit is not None:
|
| 280 |
+
job.status, job.cached, job.response = "done", True, hit
|
| 281 |
+
job.progress.skip_pending()
|
| 282 |
+
for step in steps:
|
| 283 |
+
job.progress.set(step, STEP_DONE)
|
| 284 |
+
self._jobs[job.id] = job
|
| 285 |
+
return job
|
| 286 |
+
|
| 287 |
+
if self.pending_count() >= MAX_PENDING:
|
| 288 |
+
raise QueueFull()
|
| 289 |
+
|
| 290 |
+
async def gone() -> bool:
|
| 291 |
+
return time.monotonic() - job.last_seen > ABANDON_SEC
|
| 292 |
+
|
| 293 |
+
job.progress.gone = gone
|
| 294 |
self._jobs[job.id] = job
|
| 295 |
+
if key:
|
| 296 |
+
self._inflight[key] = job.id
|
| 297 |
|
| 298 |
async def runner() -> None:
|
| 299 |
try:
|
| 300 |
+
job.response = await work(job)
|
| 301 |
+
failed = bool(job.response.get("errors")) and not job.response.get("result")
|
| 302 |
+
job.status = "error" if failed else "done"
|
| 303 |
+
result_cache.put(key, job.response)
|
| 304 |
+
except JobCancelled as stop:
|
| 305 |
+
job.progress.skip_pending()
|
| 306 |
+
job.response = {"result": None, "warnings": [], "errors": [stop.code]}
|
| 307 |
+
job.status = "error"
|
| 308 |
except Exception: # noqa: BLE001 — the job must always settle
|
| 309 |
+
job.progress.skip_pending()
|
| 310 |
job.response = {"result": None, "warnings": [], "errors": ["internal_error"]}
|
| 311 |
job.status = "error"
|
| 312 |
finally:
|
| 313 |
job.updated = time.time()
|
| 314 |
+
if key and self._inflight.get(key) == job.id:
|
| 315 |
+
del self._inflight[key]
|
| 316 |
+
job.task = None
|
| 317 |
|
| 318 |
# Keep a reference: asyncio only holds weak references to tasks.
|
| 319 |
job.task = asyncio.create_task(runner())
|
| 320 |
return job
|
| 321 |
|
| 322 |
+
def get(self, job_id: str, touch: bool = True) -> Optional[Job]:
|
| 323 |
self._prune()
|
| 324 |
+
job = self._jobs.get(job_id)
|
| 325 |
+
if job is not None and touch:
|
| 326 |
+
job.last_seen = time.monotonic()
|
| 327 |
+
return job
|
| 328 |
+
|
| 329 |
+
def cancel(self, job_id: str) -> Optional[Job]:
|
| 330 |
+
job = self._jobs.get(job_id)
|
| 331 |
+
if job is None:
|
| 332 |
+
return None
|
| 333 |
+
if job.status in ("queued", "running"):
|
| 334 |
+
job.progress.cancelled = True
|
| 335 |
+
# A job still waiting for the CPU never gets there.
|
| 336 |
+
if job.status == "queued" and job.task is not None:
|
| 337 |
+
job.task.cancel()
|
| 338 |
+
return job
|
| 339 |
|
| 340 |
|
| 341 |
job_store = JobStore()
|