622 lines
25 KiB
Python
622 lines
25 KiB
Python
from __future__ import annotations
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import asyncio
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import logging
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from dataclasses import dataclass
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from datetime import UTC, datetime, timedelta
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.db.models import (
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CrawlRun,
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QueueItemStatus,
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RunTriggerType,
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ScholarProfile,
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User,
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UserSetting,
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)
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from app.db.session import get_session_factory
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from app.logging_utils import structured_log
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from app.services.domains.ingestion import queue as queue_service
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from app.services.domains.ingestion.application import (
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RunAlreadyInProgressError,
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RunBlockedBySafetyPolicyError,
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ScholarIngestionService,
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)
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from app.services.domains.scholar.source import LiveScholarSource
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from app.services.domains.settings import application as user_settings_service
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from app.settings import settings
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logger = logging.getLogger(__name__)
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def _request_delay_floor_seconds() -> int:
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return user_settings_service.resolve_request_delay_minimum(settings.ingestion_min_request_delay_seconds)
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def _effective_request_delay_seconds(value: int | None) -> int:
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floor = _request_delay_floor_seconds()
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try:
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parsed = int(value) if value is not None else floor
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except (TypeError, ValueError):
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parsed = floor
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return max(floor, parsed)
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@dataclass(frozen=True)
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class _AutoRunCandidate:
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user_id: int
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run_interval_minutes: int
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request_delay_seconds: int
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cooldown_until: datetime | None
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cooldown_reason: str | None
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class SchedulerService:
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def __init__(
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self,
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*,
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enabled: bool,
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tick_seconds: int,
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network_error_retries: int,
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retry_backoff_seconds: float,
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max_pages_per_scholar: int,
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page_size: int,
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continuation_queue_enabled: bool,
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continuation_base_delay_seconds: int,
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continuation_max_delay_seconds: int,
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continuation_max_attempts: int,
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queue_batch_size: int,
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) -> None:
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self._enabled = enabled
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self._tick_seconds = max(5, int(tick_seconds))
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self._network_error_retries = max(0, int(network_error_retries))
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self._retry_backoff_seconds = max(0.0, float(retry_backoff_seconds))
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self._max_pages_per_scholar = max(1, int(max_pages_per_scholar))
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self._page_size = max(1, int(page_size))
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self._continuation_queue_enabled = bool(continuation_queue_enabled)
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self._continuation_base_delay_seconds = max(1, int(continuation_base_delay_seconds))
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self._continuation_max_delay_seconds = max(
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self._continuation_base_delay_seconds,
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int(continuation_max_delay_seconds),
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)
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self._continuation_max_attempts = max(1, int(continuation_max_attempts))
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self._queue_batch_size = max(1, int(queue_batch_size))
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self._task: asyncio.Task[None] | None = None
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self._source = LiveScholarSource()
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async def start(self) -> None:
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if not self._enabled:
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structured_log(logger, "info", "scheduler.disabled")
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return
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if self._task is not None:
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return
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self._task = asyncio.create_task(self._run_loop(), name="scholarr-scheduler")
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structured_log(
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logger,
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"info",
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"scheduler.started",
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tick_seconds=self._tick_seconds,
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network_error_retries=self._network_error_retries,
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retry_backoff_seconds=self._retry_backoff_seconds,
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max_pages_per_scholar=self._max_pages_per_scholar,
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page_size=self._page_size,
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continuation_queue_enabled=self._continuation_queue_enabled,
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continuation_base_delay_seconds=self._continuation_base_delay_seconds,
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continuation_max_delay_seconds=self._continuation_max_delay_seconds,
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continuation_max_attempts=self._continuation_max_attempts,
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queue_batch_size=self._queue_batch_size,
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)
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async def stop(self) -> None:
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if self._task is None:
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return
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self._task.cancel()
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try:
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await self._task
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except asyncio.CancelledError:
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pass
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finally:
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self._task = None
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structured_log(logger, "info", "scheduler.stopped")
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async def _run_loop(self) -> None:
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while True:
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try:
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await self._tick_once()
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except asyncio.CancelledError:
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raise
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except Exception:
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logger.exception(
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"scheduler.tick_failed",
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extra={},
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)
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await asyncio.sleep(float(self._tick_seconds))
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async def _tick_once(self) -> None:
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if self._continuation_queue_enabled:
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await self._drain_continuation_queue()
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await self._drain_pdf_queue()
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candidates = await self._load_candidates()
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if not candidates:
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return
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now = datetime.now(UTC)
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for candidate in candidates:
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if not await self._is_due(candidate, now=now):
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continue
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await self._run_candidate(candidate)
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async def _load_candidate_rows(self) -> list[tuple]:
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session_factory = get_session_factory()
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async with session_factory() as session:
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result = await session.execute(
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select(
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UserSetting.user_id,
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UserSetting.run_interval_minutes,
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UserSetting.request_delay_seconds,
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UserSetting.scrape_cooldown_until,
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UserSetting.scrape_cooldown_reason,
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)
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.join(User, User.id == UserSetting.user_id)
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.where(User.is_active.is_(True), UserSetting.auto_run_enabled.is_(True))
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.order_by(UserSetting.user_id.asc())
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)
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return result.all()
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@staticmethod
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def _candidate_from_row(row: tuple, *, now_utc: datetime) -> _AutoRunCandidate | None:
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user_id, run_interval_minutes, request_delay_seconds, cooldown_until, cooldown_reason = row
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if cooldown_until is not None and cooldown_until.tzinfo is None:
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cooldown_until = cooldown_until.replace(tzinfo=UTC)
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if cooldown_until is not None and cooldown_until > now_utc:
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structured_log(
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logger,
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"info",
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"scheduler.run_skipped_safety_cooldown_precheck",
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user_id=int(user_id),
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reason=cooldown_reason,
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cooldown_until=cooldown_until,
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cooldown_remaining_seconds=int((cooldown_until - now_utc).total_seconds()),
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)
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return None
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return _AutoRunCandidate(
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user_id=int(user_id),
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run_interval_minutes=int(run_interval_minutes),
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request_delay_seconds=_effective_request_delay_seconds(request_delay_seconds),
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cooldown_until=cooldown_until,
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cooldown_reason=(str(cooldown_reason).strip() if cooldown_reason else None),
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)
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async def _load_candidates(self) -> list[_AutoRunCandidate]:
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if not settings.ingestion_automation_allowed:
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return []
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rows = await self._load_candidate_rows()
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now_utc = datetime.now(UTC)
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candidates: list[_AutoRunCandidate] = []
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for row in rows:
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candidate = self._candidate_from_row(row, now_utc=now_utc)
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if candidate is not None:
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candidates.append(candidate)
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return candidates
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async def _is_due(self, candidate: _AutoRunCandidate, *, now: datetime) -> bool:
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session_factory = get_session_factory()
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async with session_factory() as session:
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result = await session.execute(
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select(CrawlRun.start_dt)
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.where(
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CrawlRun.user_id == candidate.user_id,
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)
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.order_by(CrawlRun.start_dt.desc(), CrawlRun.id.desc())
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.limit(1)
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)
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last_run = result.scalar_one_or_none()
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if last_run is None:
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return True
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next_due_dt = last_run + timedelta(minutes=candidate.run_interval_minutes)
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return now >= next_due_dt
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async def _run_candidate_ingestion(
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self,
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*,
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candidate: _AutoRunCandidate,
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):
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session_factory = get_session_factory()
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async with session_factory() as session:
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ingestion = ScholarIngestionService(source=self._source)
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try:
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return await ingestion.run_for_user(
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session,
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user_id=candidate.user_id,
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trigger_type=RunTriggerType.SCHEDULED,
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request_delay_seconds=candidate.request_delay_seconds,
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network_error_retries=self._network_error_retries,
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retry_backoff_seconds=self._retry_backoff_seconds,
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max_pages_per_scholar=self._max_pages_per_scholar,
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page_size=self._page_size,
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auto_queue_continuations=self._continuation_queue_enabled,
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queue_delay_seconds=self._continuation_base_delay_seconds,
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alert_blocked_failure_threshold=settings.ingestion_alert_blocked_failure_threshold,
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alert_network_failure_threshold=settings.ingestion_alert_network_failure_threshold,
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alert_retry_scheduled_threshold=settings.ingestion_alert_retry_scheduled_threshold,
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)
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except RunAlreadyInProgressError:
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await session.rollback()
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structured_log(logger, "info", "scheduler.run_skipped_locked", user_id=candidate.user_id)
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return None
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except RunBlockedBySafetyPolicyError as exc:
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await session.rollback()
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structured_log(
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logger,
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"info",
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"scheduler.run_skipped_safety_cooldown",
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user_id=candidate.user_id,
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reason=exc.safety_state.get("cooldown_reason"),
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cooldown_until=exc.safety_state.get("cooldown_until"),
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cooldown_remaining_seconds=exc.safety_state.get("cooldown_remaining_seconds"),
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)
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return None
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except Exception:
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await session.rollback()
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logger.exception("scheduler.run_failed", extra={"user_id": candidate.user_id})
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return None
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async def _run_candidate(self, candidate: _AutoRunCandidate) -> None:
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run_summary = await self._run_candidate_ingestion(candidate=candidate)
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if run_summary is None:
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return
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structured_log(
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logger,
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"info",
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"scheduler.run_completed",
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user_id=candidate.user_id,
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run_id=run_summary.crawl_run_id,
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status=run_summary.status.value,
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scholar_count=run_summary.scholar_count,
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new_publication_count=run_summary.new_publication_count,
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)
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async def _drain_continuation_queue(self) -> None:
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now = datetime.now(UTC)
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session_factory = get_session_factory()
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async with session_factory() as session:
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jobs = await queue_service.list_due_jobs(
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session,
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now=now,
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limit=self._queue_batch_size,
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)
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for job in jobs:
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await self._run_queue_job(job)
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async def _drop_queue_job_if_max_attempts(
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self,
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job: queue_service.ContinuationQueueJob,
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) -> bool:
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if job.attempt_count < self._continuation_max_attempts:
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return False
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session_factory = get_session_factory()
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async with session_factory() as session:
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dropped = await queue_service.mark_dropped(
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session,
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job_id=job.id,
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reason="max_attempts_reached",
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)
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await session.commit()
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if dropped is not None:
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structured_log(
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logger,
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"warning",
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"scheduler.queue_item_dropped_max_attempts",
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queue_item_id=job.id,
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user_id=job.user_id,
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scholar_profile_id=job.scholar_profile_id,
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attempt_count=job.attempt_count,
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max_attempts=self._continuation_max_attempts,
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)
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return True
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async def _mark_queue_job_retrying(
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self,
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job: queue_service.ContinuationQueueJob,
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) -> bool:
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session_factory = get_session_factory()
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async with session_factory() as session:
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queue_item = await queue_service.mark_retrying(session, job_id=job.id)
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await session.commit()
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if queue_item is None:
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return False
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return queue_item.status != QueueItemStatus.DROPPED.value
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async def _queue_job_has_available_scholar(
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self,
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job: queue_service.ContinuationQueueJob,
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) -> bool:
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session_factory = get_session_factory()
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async with session_factory() as session:
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scholar_result = await session.execute(
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select(ScholarProfile.id).where(
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ScholarProfile.user_id == job.user_id,
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ScholarProfile.id == job.scholar_profile_id,
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ScholarProfile.is_enabled.is_(True),
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)
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)
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scholar_id = scholar_result.scalar_one_or_none()
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if scholar_id is not None:
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return True
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dropped = await queue_service.mark_dropped(
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session,
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job_id=job.id,
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reason="scholar_unavailable",
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)
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await session.commit()
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if dropped is not None:
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structured_log(
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logger,
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"info",
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"scheduler.queue_item_dropped_scholar_unavailable",
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queue_item_id=job.id,
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user_id=job.user_id,
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scholar_profile_id=job.scholar_profile_id,
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)
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return False
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async def _reschedule_queue_job_lock_active(self, job: queue_service.ContinuationQueueJob) -> None:
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session_factory = get_session_factory()
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async with session_factory() as recovery_session:
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await queue_service.reschedule_job(
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recovery_session,
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job_id=job.id,
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delay_seconds=max(self._tick_seconds, 15),
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reason="user_run_lock_active",
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error="run_already_in_progress",
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)
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await recovery_session.commit()
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structured_log(
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logger,
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"info",
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"scheduler.queue_item_deferred_lock",
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queue_item_id=job.id,
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user_id=job.user_id,
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)
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async def _reschedule_queue_job_safety_cooldown(
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self,
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job: queue_service.ContinuationQueueJob,
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exc: RunBlockedBySafetyPolicyError,
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) -> None:
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cooldown_remaining_seconds = max(
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self._tick_seconds,
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int(exc.safety_state.get("cooldown_remaining_seconds") or 0),
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)
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session_factory = get_session_factory()
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async with session_factory() as recovery_session:
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await queue_service.reschedule_job(
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recovery_session,
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job_id=job.id,
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delay_seconds=max(self._tick_seconds, cooldown_remaining_seconds),
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reason="scrape_safety_cooldown",
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error=str(exc.message),
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)
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await recovery_session.commit()
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structured_log(
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logger,
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"info",
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"scheduler.queue_item_deferred_safety_cooldown",
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queue_item_id=job.id,
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user_id=job.user_id,
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reason=exc.safety_state.get("cooldown_reason"),
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cooldown_remaining_seconds=cooldown_remaining_seconds,
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)
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async def _reschedule_queue_job_after_exception(
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self,
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job: queue_service.ContinuationQueueJob,
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*,
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exc: Exception,
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) -> None:
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session_factory = get_session_factory()
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async with session_factory() as recovery_session:
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queue_item = await queue_service.increment_attempt_count(recovery_session, job_id=job.id)
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if queue_item is None:
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await recovery_session.commit()
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return
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if int(queue_item.attempt_count) >= self._continuation_max_attempts:
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await queue_service.mark_dropped(
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recovery_session,
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job_id=job.id,
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reason="scheduler_exception_max_attempts",
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error=str(exc),
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)
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await recovery_session.commit()
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structured_log(
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logger,
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"warning",
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"scheduler.queue_item_dropped_after_exception",
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queue_item_id=job.id,
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user_id=job.user_id,
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attempt_count=queue_item.attempt_count,
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)
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return
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delay_seconds = queue_service.compute_backoff_seconds(
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base_seconds=self._continuation_base_delay_seconds,
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attempt_count=int(queue_item.attempt_count),
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max_seconds=self._continuation_max_delay_seconds,
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)
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await queue_service.reschedule_job(
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recovery_session,
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job_id=job.id,
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delay_seconds=delay_seconds,
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reason="scheduler_exception",
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error=str(exc),
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)
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await recovery_session.commit()
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logger.exception("scheduler.queue_item_run_failed", extra={"queue_item_id": job.id, "user_id": job.user_id})
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async def _run_ingestion_for_queue_job(
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self,
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job: queue_service.ContinuationQueueJob,
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):
|
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session_factory = get_session_factory()
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async with session_factory() as session:
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request_delay_seconds = await self._load_request_delay_for_user(session, user_id=job.user_id)
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ingestion = ScholarIngestionService(source=self._source)
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try:
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return await ingestion.run_for_user(
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session,
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user_id=job.user_id,
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trigger_type=RunTriggerType.SCHEDULED,
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request_delay_seconds=request_delay_seconds,
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network_error_retries=self._network_error_retries,
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retry_backoff_seconds=self._retry_backoff_seconds,
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rate_limit_retries=settings.ingestion_rate_limit_retries,
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rate_limit_backoff_seconds=settings.ingestion_rate_limit_backoff_seconds,
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max_pages_per_scholar=self._max_pages_per_scholar,
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page_size=self._page_size,
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scholar_profile_ids={job.scholar_profile_id},
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start_cstart_by_scholar_id={job.scholar_profile_id: job.resume_cstart},
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auto_queue_continuations=self._continuation_queue_enabled,
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queue_delay_seconds=self._continuation_base_delay_seconds,
|
|
alert_blocked_failure_threshold=settings.ingestion_alert_blocked_failure_threshold,
|
|
alert_network_failure_threshold=settings.ingestion_alert_network_failure_threshold,
|
|
alert_retry_scheduled_threshold=settings.ingestion_alert_retry_scheduled_threshold,
|
|
)
|
|
except RunAlreadyInProgressError:
|
|
await session.rollback()
|
|
await self._reschedule_queue_job_lock_active(job)
|
|
except RunBlockedBySafetyPolicyError as exc:
|
|
await session.rollback()
|
|
await self._reschedule_queue_job_safety_cooldown(job, exc)
|
|
except Exception as exc:
|
|
await session.rollback()
|
|
await self._reschedule_queue_job_after_exception(job, exc=exc)
|
|
return None
|
|
|
|
async def _finalize_queue_job_after_run(self, job: queue_service.ContinuationQueueJob, run_summary) -> None:
|
|
session_factory = get_session_factory()
|
|
async with session_factory() as session:
|
|
if int(run_summary.failed_count) <= 0:
|
|
queue_item = await queue_service.reset_attempt_count(session, job_id=job.id)
|
|
await session.commit()
|
|
if queue_item is None:
|
|
structured_log(
|
|
logger,
|
|
"info",
|
|
"scheduler.queue_item_resolved",
|
|
queue_item_id=job.id,
|
|
user_id=job.user_id,
|
|
run_id=run_summary.crawl_run_id,
|
|
status=run_summary.status.value,
|
|
)
|
|
return
|
|
structured_log(
|
|
logger,
|
|
"info",
|
|
"scheduler.queue_item_progressed",
|
|
queue_item_id=job.id,
|
|
user_id=job.user_id,
|
|
run_id=run_summary.crawl_run_id,
|
|
status=run_summary.status.value,
|
|
attempt_count=int(queue_item.attempt_count),
|
|
)
|
|
return
|
|
queue_item = await queue_service.increment_attempt_count(session, job_id=job.id)
|
|
if queue_item is None:
|
|
await session.commit()
|
|
structured_log(
|
|
logger,
|
|
"info",
|
|
"scheduler.queue_item_resolved",
|
|
queue_item_id=job.id,
|
|
user_id=job.user_id,
|
|
run_id=run_summary.crawl_run_id,
|
|
status=run_summary.status.value,
|
|
)
|
|
return
|
|
if int(queue_item.attempt_count) >= self._continuation_max_attempts:
|
|
await queue_service.mark_dropped(session, job_id=job.id, reason="max_attempts_after_run")
|
|
await session.commit()
|
|
structured_log(
|
|
logger,
|
|
"warning",
|
|
"scheduler.queue_item_dropped_max_attempts_after_run",
|
|
queue_item_id=job.id,
|
|
user_id=job.user_id,
|
|
attempt_count=queue_item.attempt_count,
|
|
run_id=run_summary.crawl_run_id,
|
|
status=run_summary.status.value,
|
|
)
|
|
return
|
|
delay_seconds = queue_service.compute_backoff_seconds(
|
|
base_seconds=self._continuation_base_delay_seconds,
|
|
attempt_count=int(queue_item.attempt_count),
|
|
max_seconds=self._continuation_max_delay_seconds,
|
|
)
|
|
await queue_service.reschedule_job(
|
|
session,
|
|
job_id=job.id,
|
|
delay_seconds=delay_seconds,
|
|
reason=queue_item.reason,
|
|
error=queue_item.last_error,
|
|
)
|
|
await session.commit()
|
|
structured_log(
|
|
logger,
|
|
"info",
|
|
"scheduler.queue_item_rescheduled_failed",
|
|
queue_item_id=job.id,
|
|
user_id=job.user_id,
|
|
run_id=run_summary.crawl_run_id,
|
|
status=run_summary.status.value,
|
|
attempt_count=int(queue_item.attempt_count),
|
|
delay_seconds=delay_seconds,
|
|
)
|
|
|
|
async def _run_queue_job(self, job: queue_service.ContinuationQueueJob) -> None:
|
|
if await self._drop_queue_job_if_max_attempts(job):
|
|
return
|
|
if not await self._mark_queue_job_retrying(job):
|
|
return
|
|
if not await self._queue_job_has_available_scholar(job):
|
|
return
|
|
run_summary = await self._run_ingestion_for_queue_job(job)
|
|
if run_summary is None:
|
|
return
|
|
await self._finalize_queue_job_after_run(job, run_summary)
|
|
|
|
async def _drain_pdf_queue(self) -> None:
|
|
from app.services.domains.publications.pdf_queue import drain_ready_jobs
|
|
|
|
session_factory = get_session_factory()
|
|
async with session_factory() as session:
|
|
try:
|
|
processed = await drain_ready_jobs(
|
|
session,
|
|
limit=settings.scheduler_pdf_queue_batch_size,
|
|
max_attempts=settings.pdf_auto_retry_max_attempts,
|
|
)
|
|
if processed > 0:
|
|
structured_log(
|
|
logger,
|
|
"info",
|
|
"scheduler.pdf_queue_drain_completed",
|
|
processed_count=processed,
|
|
)
|
|
except Exception:
|
|
logger.exception("scheduler.pdf_queue_drain_failed", extra={})
|
|
|
|
async def _load_request_delay_for_user(
|
|
self,
|
|
db_session: AsyncSession,
|
|
*,
|
|
user_id: int,
|
|
) -> int:
|
|
result = await db_session.execute(
|
|
select(UserSetting.request_delay_seconds).where(UserSetting.user_id == user_id)
|
|
)
|
|
delay = result.scalar_one_or_none()
|
|
return _effective_request_delay_seconds(delay)
|