41518bda11
Embedding 端口增加 is_available()，聊天和回忆录日志用统一方式表示向量是否真能调用。 记忆整理（compaction）支持 Beat 定期扫用户； 事实抽取提示与 subject 归一化，减少同一人多种称呼；
99 lines
3.3 KiB
Python
99 lines
3.3 KiB
Python
"""Celery：memory compaction（近重复 chunk 软排除）。"""
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from __future__ import annotations
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import time
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from datetime import datetime
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from typing import Any
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from celery import shared_task
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from app.core.config import settings
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from app.core.db import get_sync_db
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from app.core.logging import get_logger
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from app.core.memory_compaction_schedule import (
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finalize_memory_compaction_run,
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read_debounce_deadline_ts,
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release_scheduler_gate,
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schedule_memory_compaction_run,
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set_incremental_cursor_pair,
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)
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from app.core.redis_lock import acquire_redis_lock, release_redis_lock
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from app.features.memory.compaction_service import run_memory_compaction_sync
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from app.features.memory.repo import list_users_with_recent_chunks_sync
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logger = get_logger(__name__)
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@shared_task
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def memory_compaction_sweep() -> dict[str, Any]:
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"""Beat：为近期有记忆写入的用户调度 compaction（debounce 仍由 schedule 合并）。"""
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if not settings.memory_compaction_enabled:
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return {"skipped": True, "reason": "disabled"}
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hours = int(settings.memory_compaction_sweep_recent_hours)
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with get_sync_db() as session:
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user_ids = list_users_with_recent_chunks_sync(session, hours=hours)
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ctx_base: dict[str, Any] = {"trigger_source": "beat", "sweep_hours": hours}
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for uid in user_ids:
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schedule_memory_compaction_run(uid, dict(ctx_base))
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logger.info(
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"memory_compaction_sweep hours={} scheduled_users={}", hours, len(user_ids)
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)
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return {"scheduled": len(user_ids), "user_ids": user_ids}
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@shared_task(bind=True, max_retries=12, default_retry_delay=20)
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def memory_compaction_run(
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self, user_id: str, context: dict[str, Any] | None = None
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) -> dict[str, Any]:
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if not settings.memory_compaction_enabled:
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return {"skipped": True, "reason": "disabled"}
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ctx = dict(context or {})
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deadline = read_debounce_deadline_ts(user_id)
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now = time.time()
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if deadline is not None and now < deadline:
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delay = max(1.0, deadline - now)
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raise self.retry(countdown=int(delay))
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lock = acquire_redis_lock(
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f"lock:memory_compaction:{user_id}",
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ttl_seconds=settings.memory_compaction_lock_ttl_seconds,
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)
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if lock is None:
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logger.info(
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"memory_compaction_skipped user_id={} skipped_reason=lock_not_acquired",
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user_id,
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)
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out = {"skipped": True, "reason": "lock_not_acquired"}
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finalize_memory_compaction_run(
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user_id,
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observed_deadline_ts=deadline,
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context=ctx,
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)
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return out
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try:
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with get_sync_db() as session:
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out = run_memory_compaction_sync(session, user_id, ctx)
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session.commit()
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if out.get("new_cursor_ts") and out.get("new_cursor_id") is not None:
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set_incremental_cursor_pair(
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user_id,
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datetime.fromisoformat(out["new_cursor_ts"]),
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str(out["new_cursor_id"]),
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)
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finalize_memory_compaction_run(
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user_id,
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observed_deadline_ts=deadline,
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context=ctx,
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)
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return out
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except Exception as exc:
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logger.warning("memory_compaction_run failed user_id={} err={}", user_id, exc)
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release_scheduler_gate(user_id)
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raise self.retry(exc=exc)
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finally:
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release_redis_lock(lock)
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