b42f5d63db
Logs which handlers are registered at startup and which handlers are found/called when processing each activity. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
130 lines
4.4 KiB
Python
130 lines
4.4 KiB
Python
"""
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Event processor — polls the ap_activities table and dispatches to registered
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activity handlers.
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Runs as an asyncio background task within each app process.
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Uses SELECT ... FOR UPDATE SKIP LOCKED for safe concurrent processing.
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"""
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from __future__ import annotations
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import asyncio
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import logging
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import traceback
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from datetime import datetime, timezone
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from shared.db.session import get_session
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from shared.models.federation import APActivity
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from .bus import get_activity_handlers
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log = logging.getLogger(__name__)
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class EventProcessor:
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"""Background event processor that polls the ap_activities table."""
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def __init__(
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self,
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*,
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poll_interval: float = 2.0,
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batch_size: int = 10,
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):
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self._poll_interval = poll_interval
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self._batch_size = batch_size
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self._task: asyncio.Task | None = None
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self._running = False
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async def start(self) -> None:
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"""Start the background polling loop."""
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if self._task is not None:
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return
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self._running = True
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self._task = asyncio.create_task(self._poll_loop())
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async def stop(self) -> None:
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"""Stop the background polling loop gracefully."""
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self._running = False
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if self._task is not None:
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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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self._task = None
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async def _poll_loop(self) -> None:
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while self._running:
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try:
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processed = await self._process_batch()
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if processed == 0:
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await asyncio.sleep(self._poll_interval)
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except asyncio.CancelledError:
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break
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except Exception:
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traceback.print_exc()
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await asyncio.sleep(self._poll_interval)
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async def _process_batch(self) -> int:
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"""Fetch and process a batch of pending activities. Returns count processed."""
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processed = 0
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async with get_session() as session:
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stmt = (
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select(APActivity)
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.where(
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APActivity.process_state == "pending",
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APActivity.process_attempts < APActivity.process_max_attempts,
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)
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.order_by(APActivity.created_at)
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.limit(self._batch_size)
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.with_for_update(skip_locked=True)
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)
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result = await session.execute(stmt)
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activities = result.scalars().all()
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for activity in activities:
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await self._process_one(session, activity)
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processed += 1
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await session.commit()
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return processed
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async def _process_one(self, session: AsyncSession, activity: APActivity) -> None:
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"""Run all handlers for a single activity."""
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handlers = get_activity_handlers(activity.activity_type, activity.object_type)
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now = datetime.now(timezone.utc)
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log.info(
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"Processing activity %s: type=%s object_type=%s visibility=%s actor_profile_id=%s — %d handler(s) found",
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activity.id, activity.activity_type, activity.object_type,
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activity.visibility, activity.actor_profile_id, len(handlers),
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)
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for h in handlers:
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log.info(" handler: %s.%s", h.__module__, h.__qualname__)
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activity.process_state = "processing"
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activity.process_attempts += 1
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await session.flush()
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if not handlers:
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activity.process_state = "completed"
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activity.processed_at = now
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return
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try:
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for handler in handlers:
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log.info(" calling %s.%s …", handler.__module__, handler.__qualname__)
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await handler(activity, session)
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log.info(" done %s.%s", handler.__module__, handler.__qualname__)
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activity.process_state = "completed"
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activity.processed_at = now
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except Exception as exc:
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log.exception("Handler failed for activity %s", activity.id)
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activity.process_error = f"{exc.__class__.__name__}: {exc}"
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if activity.process_attempts >= activity.process_max_attempts:
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activity.process_state = "failed"
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activity.processed_at = now
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else:
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activity.process_state = "pending" # retry
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