life-echo/api/app/tasks/memory_compaction_tasks.py

"""Celery：memory compaction（近重复 chunk 软排除）。"""

from __future__ import annotations

import asyncio
import time
from datetime import datetime
from typing import Any

from celery import shared_task

from app.core.config import settings
from app.core.db import AsyncSessionLocal
from app.core.logging import get_logger
from app.core.memory_compaction_schedule import (
    finalize_memory_compaction_run,
    read_debounce_deadline_ts,
    release_scheduler_gate,
    schedule_memory_compaction_run,
    set_incremental_cursor_pair,
)
from app.core.redis_lock import acquire_redis_lock, release_redis_lock
from app.features.memory.repo import list_users_with_recent_chunks
from app.features.memory.service import MemoryService

logger = get_logger(__name__)


async def _list_users_with_recent_chunks_async(hours: int) -> list[str]:
    async with AsyncSessionLocal() as db:
        return await list_users_with_recent_chunks(db, hours=hours)


async def _run_memory_compaction_async(
    user_id: str,
    context: dict[str, Any] | None,
) -> dict[str, Any]:
    async with AsyncSessionLocal() as db:
        service = MemoryService(db)
        out = await service.compact_user(user_id, context)
        await db.commit()
        return out


@shared_task
def memory_compaction_sweep() -> dict[str, Any]:
    """Beat：为近期有记忆写入的用户调度 compaction（debounce 仍由 schedule 合并）。"""
    t0 = time.perf_counter()
    if not settings.memory_compaction_enabled:
        return {"skipped": True, "reason": "disabled"}
    hours = int(settings.memory_compaction_sweep_recent_hours)
    user_ids = asyncio.run(_list_users_with_recent_chunks_async(hours))
    ctx_base: dict[str, Any] = {"trigger_source": "beat", "sweep_hours": hours}
    for uid in user_ids:
        schedule_memory_compaction_run(uid, dict(ctx_base))
    ms = (time.perf_counter() - t0) * 1000
    logger.info(
        "event=memory_compaction_sweep_done hours={} scheduled_users={} duration_ms={:.1f} "
        "msg=记忆压缩定时扫描已调度",
        hours,
        len(user_ids),
        ms,
    )
    return {"scheduled": len(user_ids), "user_ids": user_ids}


@shared_task(bind=True, max_retries=12, default_retry_delay=20)
def memory_compaction_run(
    self, user_id: str, context: dict[str, Any] | None = None
) -> dict[str, Any]:
    run_t0 = time.perf_counter()
    if not settings.memory_compaction_enabled:
        return {"skipped": True, "reason": "disabled"}

    ctx = dict(context or {})
    deadline = read_debounce_deadline_ts(user_id)
    now = time.time()
    if deadline is not None and now < deadline:
        delay = max(1.0, deadline - now)
        raise self.retry(countdown=int(delay))

    lock = acquire_redis_lock(
        f"lock:memory_compaction:{user_id}",
        ttl_seconds=settings.memory_compaction_lock_ttl_seconds,
    )
    if lock is None:
        ms = (time.perf_counter() - run_t0) * 1000
        logger.info(
            "event=memory_compaction_skipped user_id={} reason=lock_not_acquired "
            "duration_ms={:.1f} msg=记忆压缩跳过（未拿到锁）",
            user_id,
            ms,
        )
        out = {"skipped": True, "reason": "lock_not_acquired"}
        finalize_memory_compaction_run(
            user_id,
            observed_deadline_ts=deadline,
            context=ctx,
        )
        return out

    try:
        out = asyncio.run(_run_memory_compaction_async(user_id, ctx))

        if out.get("new_cursor_ts") and out.get("new_cursor_id") is not None:
            set_incremental_cursor_pair(
                user_id,
                datetime.fromisoformat(out["new_cursor_ts"]),
                str(out["new_cursor_id"]),
            )
        finalize_memory_compaction_run(
            user_id,
            observed_deadline_ts=deadline,
            context=ctx,
        )
        ms = (time.perf_counter() - run_t0) * 1000
        logger.info(
            "event=memory_compaction_done user_id={} duration_ms={:.1f} msg=记忆压缩运行完成",
            user_id,
            ms,
        )
        return out
    except Exception as exc:
        ms = (time.perf_counter() - run_t0) * 1000
        logger.warning(
            "event=memory_compaction_failed user_id={} duration_ms={:.1f} err={} "
            "msg=记忆压缩运行失败",
            user_id,
            ms,
            exc,
        )
        release_scheduler_gate(user_id)
        raise self.retry(exc=exc) from exc
    finally:
        release_redis_lock(lock)