149 lines
4.8 KiB
Python
149 lines
4.8 KiB
Python
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"""
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Story 写入提交后的统一异步调度：插图、章节物化、可选 memory compaction。
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enqueue 失败不回滚已提交数据，仅记录日志；依赖后续触发或重试收敛。
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from datetime import datetime, timezone
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import threading
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from typing import Any, cast
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import redis
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from app.core.config import settings
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from app.core.logging import get_logger
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from app.core.memory_compaction_schedule import schedule_memory_compaction_run
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logger = get_logger(__name__)
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_redis_client: redis.Redis | None = None
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_redis_lock = threading.Lock()
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def _story_image_enqueue_key(story_id: str) -> str:
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return f"enqueue:story-image:{story_id}"
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def _get_redis() -> redis.Redis:
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"""进程内复用单个 Redis 客户端，避免重复创建连接池。"""
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global _redis_client
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if _redis_client is None:
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with _redis_lock:
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if _redis_client is None:
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_redis_client = redis.from_url(
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settings.redis_url, decode_responses=True
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)
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return _redis_client
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@dataclass
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class PostCommitResult:
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enqueued_story_image_count: int = 0
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enqueued_chapter_recompose_count: int = 0
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compaction_scheduled: bool = False
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errors: list[str] = field(default_factory=list)
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def enqueue_story_post_commit_effects(
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*,
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user_id: str,
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story_ids: set[str],
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chapter_ids: set[str],
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trigger_source: str,
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need_image: bool = True,
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need_recompose: bool = True,
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need_compaction: bool = False,
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compaction_extra: dict[str, Any] | None = None,
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) -> PostCommitResult:
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"""
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story_ids 为空则跳过 image；chapter_ids 为空则跳过 recompose。
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need_compaction=True 时仅按 user_id 调度 compaction（不依赖 story/chapter 集合）。
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"""
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result = PostCommitResult()
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r = _get_redis()
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ttl = int(settings.story_image_enqueue_dedup_ttl)
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if need_image and story_ids:
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from app.tasks.story_image_tasks import (
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generate_story_image as gen_story_image_task,
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)
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for sid in sorted(story_ids):
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key = _story_image_enqueue_key(sid)
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try:
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if not r.set(key, "1", nx=True, ex=ttl):
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logger.debug(
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"story_image enqueue skipped (dedup): story={} trigger={}",
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sid,
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trigger_source,
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)
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continue
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except Exception as exc:
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logger.warning(
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"story_image enqueue dedup redis failed, allowing enqueue: "
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"story={} err={}",
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sid,
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exc,
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)
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try:
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cast(Any, gen_story_image_task).delay(sid)
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result.enqueued_story_image_count += 1
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except Exception as exc:
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logger.warning(
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"generate_story_image.delay failed story={} trigger={}: {}",
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sid,
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trigger_source,
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exc,
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)
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result.errors.append(f"generate_story_image:{sid}:{exc}")
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try:
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r.delete(key)
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except Exception:
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pass
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if need_recompose and chapter_ids:
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from app.tasks.chapter_compose_tasks import (
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recompose_chapter as recompose_chapter_task,
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)
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cd = int(settings.recompose_chapter_delay_seconds)
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for cid in sorted(chapter_ids):
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try:
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cast(Any, recompose_chapter_task).apply_async(
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args=[cid], countdown=max(0, cd)
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)
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result.enqueued_chapter_recompose_count += 1
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except Exception as exc:
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logger.warning(
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"recompose_chapter.apply_async failed chapter={} trigger={}: {}",
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cid,
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trigger_source,
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exc,
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)
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result.errors.append(f"recompose_chapter:{cid}:{exc}")
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if need_compaction:
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try:
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ctx: dict[str, Any] = {
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"trigger_source": trigger_source,
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"trigger_time": datetime.now(timezone.utc).isoformat(),
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"story_ids": sorted(story_ids),
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"chapter_ids": sorted(chapter_ids),
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}
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if compaction_extra:
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ctx.update(compaction_extra)
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schedule_memory_compaction_run(user_id, ctx)
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result.compaction_scheduled = True
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except Exception as exc:
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logger.warning(
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"schedule_memory_compaction_run failed user_id={} trigger={}: {}",
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user_id,
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trigger_source,
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exc,
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)
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result.errors.append(f"compaction:{exc}")
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return result
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