741 lines
27 KiB
Python
741 lines
27 KiB
Python
"""
|
||
回忆录处理 Celery 任务
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||
"""
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||
|
||
import json
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||
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from app.core.logging import get_logger
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import uuid
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||
from io import BytesIO
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||
from typing import Dict, List, Set
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||
from datetime import datetime, timezone
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||
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||
import redis
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||
from celery import shared_task
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||
from PIL import Image
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||
from sqlalchemy import delete, select
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||
from sqlalchemy.orm import Session, joinedload
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||
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from app.core.db import get_sync_db
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||
from app.features.conversation.models import Segment
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||
from app.features.memoir.models import (
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Book,
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||
Chapter,
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||
MemoirImage,
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MemoirState,
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)
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from app.features.user.models import User
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||
from app.core.dependencies import get_llm_provider
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||
from app.agents.state_schema import MemoirStateSchema, SlotData, default_state
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from app.agents.memoir import MemoirOrchestrator
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from app.agents.chat.prompts_profile import format_user_profile_context
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from app.features.memoir.memoir_images.parser import (
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build_initial_image_assets,
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parse_image_placeholders,
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||
)
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import hashlib
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||
from app.core.dependencies import get_image_generator
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||
from app.agents.image_prompt import ImagePromptOrchestrator
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from app.features.memoir.memoir_images.schema import (
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||
completed_image_assets,
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||
IMAGE_STATUS_COMPLETED,
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||
IMAGE_STATUS_FAILED,
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||
IMAGE_STATUS_PENDING,
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||
IMAGE_STATUS_PROCESSING,
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||
normalize_image_assets,
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||
)
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from app.features.memoir.memoir_images.serializers import (
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||
image_dict_to_row_kwargs,
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||
memoir_image_to_dict,
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||
)
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||
from app.features.memoir.memoir_images.settings import MemoirImageSettings
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||
from app.ports.image_gen import TaskStatus
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from app.features.memoir.memoir_images.storage import (
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TencentCosStorageService,
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||
CosUploadError,
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||
)
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||
from app.features.memoir.cover_eligibility import (
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||
chapter_needs_cover_enqueue,
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||
cover_memoir_image_pending_or_failed,
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||
)
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||
from app.features.memoir.story_pipeline_sync import (
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run_story_pipeline_for_category_batch,
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||
)
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||
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||
logger = get_logger(__name__)
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||
_REDIS_CLIENTS: dict[bool, redis.Redis] = {}
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||
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||
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||
def _get_llm():
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||
"""Celery 任务内获取 LangChain LLM（通过 port）"""
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||
try:
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||
return getattr(get_llm_provider(), "langchain_llm", None)
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||
except Exception:
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||
return None
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||
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||
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||
def _get_redis_client(*, decode_responses: bool = False) -> redis.Redis:
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from app.core.config import settings
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client = _REDIS_CLIENTS.get(decode_responses)
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||
if client is None:
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||
client = redis.from_url(
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settings.redis_url,
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||
decode_responses=decode_responses,
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||
)
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_REDIS_CLIENTS[decode_responses] = client
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||
return client
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||
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||
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||
def _acquire_chapter_lock(user_id: str, stage: str, timeout: int = 120) -> bool:
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"""获取章节分布式锁，防止并发写入同一章节"""
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r = _get_redis_client()
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lock_key = f"lock:chapter:{user_id}:{stage}"
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return r.set(lock_key, "1", nx=True, ex=timeout)
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||
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def _release_chapter_lock(user_id: str, stage: str):
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"""释放章节分布式锁"""
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r = _get_redis_client()
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lock_key = f"lock:chapter:{user_id}:{stage}"
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r.delete(lock_key)
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||
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def _acquire_chapter_image_lock(chapter_id: str, timeout: int = 600) -> bool:
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||
"""获取章节补图分布式锁，避免同一章节重复补图。"""
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||
r = _get_redis_client()
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lock_key = f"lock:chapter-images:{chapter_id}"
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return r.set(lock_key, "1", nx=True, ex=timeout)
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def _release_chapter_image_lock(chapter_id: str):
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"""释放章节补图分布式锁。"""
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||
r = _get_redis_client()
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lock_key = f"lock:chapter-images:{chapter_id}"
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r.delete(lock_key)
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||
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def _update_task_status_sync(
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user_id: str, task_id: str, status: str, result: Dict = None
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||
):
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"""同步更新任务状态（在 Celery 任务中使用）"""
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||
try:
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r = _get_redis_client(decode_responses=True)
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key = f"task:user:{user_id}:tasks"
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||
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# 获取现有任务信息
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data = r.hget(key, task_id)
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if data:
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task_info = json.loads(data)
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else:
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task_info = {"task_id": task_id}
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||
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task_info["status"] = status
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task_info["updated_at"] = datetime.now(timezone.utc).isoformat()
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if result is not None:
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task_info["result"] = result
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||
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r.hset(key, task_id, json.dumps(task_info))
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r.expire(key, 3600) # 1小时过期
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||
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logger.info(f"任务状态已更新: task_id={task_id}, status={status}")
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||
except Exception as e:
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logger.error(f"更新任务状态失败: {e}")
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||
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def _merge_chapter_image_assets(
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existing_images: list[dict] | None,
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||
placeholders: list[dict],
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||
provider: str,
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||
style: str,
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||
size: str,
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||
now_iso: str,
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||
) -> list[dict]:
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||
normalized_existing_images = normalize_image_assets(existing_images)
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existing_by_placeholder = {
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item.get("placeholder"): dict(item)
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for item in normalized_existing_images
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if item.get("placeholder")
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}
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merged_assets: list[dict] = []
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for item in placeholders:
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existing = existing_by_placeholder.get(item["placeholder"])
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if existing:
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merged_item = dict(existing)
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merged_item["index"] = item["index"]
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merged_item["placeholder"] = item["placeholder"]
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merged_item["description"] = item["description"]
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merged_item["provider"] = merged_item.get("provider") or provider
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merged_item["style"] = merged_item.get("style") or style
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||
merged_item["size"] = merged_item.get("size") or size
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||
merged_item["created_at"] = merged_item.get("created_at") or now_iso
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merged_item["updated_at"] = merged_item.get("updated_at") or now_iso
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if merged_item.get("status") == IMAGE_STATUS_COMPLETED and not (
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||
merged_item.get("storage_key") or merged_item.get("url")
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||
):
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||
merged_item["status"] = IMAGE_STATUS_FAILED
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||
merged_item["error"] = merged_item.get("error") or "missing image url"
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||
else:
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||
merged_item = build_initial_image_assets(
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||
placeholders=[item],
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||
provider=provider,
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style=style,
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||
size=size,
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||
now_iso=now_iso,
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||
)[0]
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||
merged_assets.append(merged_item)
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||
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return merged_assets
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||
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def chapter_has_images_to_generate(images: list[dict] | None) -> bool:
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||
return any(
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item.get("status") in {IMAGE_STATUS_PENDING, IMAGE_STATUS_FAILED}
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for item in normalize_image_assets(images)
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||
)
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||
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||
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def _memoir_image_from_asset(
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chapter_id: str,
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||
order_index: int,
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||
image_asset: dict,
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||
) -> MemoirImage:
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||
"""从单条图片 dict 构建 MemoirImage 行（用于写入 memoir_images 表）。"""
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kwargs = image_dict_to_row_kwargs(image_asset)
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return MemoirImage(
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||
id=str(uuid.uuid4()).replace("-", "")[:32],
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||
chapter_id=chapter_id,
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||
order_index=order_index,
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**kwargs,
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||
)
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||
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||
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||
def _select_placeholders_for_effective_max(
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||
placeholders: list[dict],
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||
existing_images: list[dict] | None,
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||
effective_max: int,
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||
) -> list[dict]:
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||
existing_placeholders = {
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||
item.get("placeholder")
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for item in normalize_image_assets(existing_images)
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if item.get("placeholder")
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}
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existing_count_in_content = sum(
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1 for item in placeholders if item.get("placeholder") in existing_placeholders
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||
)
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remaining_new_slots = max(0, effective_max - existing_count_in_content)
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||
selected: list[dict] = []
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for item in placeholders:
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if item.get("placeholder") in existing_placeholders:
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selected.append(item)
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||
continue
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if remaining_new_slots <= 0:
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continue
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selected.append(item)
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remaining_new_slots -= 1
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return [{**item, "index": index} for index, item in enumerate(selected)]
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||
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||
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def initialize_chapter_images(_chapter):
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||
"""兼容旧调用：封面由 generate_chapter_cover 处理。"""
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||
logger.info("initialize_chapter_images: 封面由 generate_chapter_cover 处理，跳过")
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||
return []
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||
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||
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||
def _normalize_image_bytes_for_storage(image_bytes: bytes) -> bytes:
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||
with Image.open(BytesIO(image_bytes)) as image:
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output = BytesIO()
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||
if image.mode in {"RGBA", "LA"}:
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||
normalized = image
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||
elif image.mode == "P":
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normalized = image.convert("RGBA")
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||
else:
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||
normalized = image.convert("RGB")
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||
normalized.save(output, format="PNG")
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||
return output.getvalue()
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||
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||
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||
def _coerce_state(model: MemoirState) -> MemoirStateSchema:
|
||
"""将数据库模型转换为 Schema"""
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||
return MemoirStateSchema.model_validate(
|
||
{
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||
"stage_order": model.stage_order or default_state().stage_order,
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||
"current_stage": model.current_stage,
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||
"covered_stages": model.covered_stages or [],
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||
"slots": model.slots
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||
if isinstance(model.slots, dict)
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||
else default_state().slots,
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||
}
|
||
)
|
||
|
||
|
||
def _get_or_create_state_sync(user_id: str, db: Session) -> MemoirStateSchema:
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||
"""同步获取或创建状态"""
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||
stmt = select(MemoirState).where(MemoirState.user_id == user_id)
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||
result = db.execute(stmt)
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||
state = result.scalar_one_or_none()
|
||
if state:
|
||
return _coerce_state(state)
|
||
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||
default = default_state()
|
||
state = MemoirState(
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||
id=str(uuid.uuid4()),
|
||
user_id=user_id,
|
||
stage_order=default.stage_order,
|
||
current_stage=default.current_stage,
|
||
covered_stages=default.covered_stages,
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||
slots={
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||
k: {sk: sv.model_dump() for sk, sv in v.items()}
|
||
for k, v in default.slots.items()
|
||
},
|
||
)
|
||
db.add(state)
|
||
db.commit()
|
||
db.refresh(state)
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||
return _coerce_state(state)
|
||
|
||
|
||
def _update_slot_sync(
|
||
user_id: str,
|
||
stage: str,
|
||
slot_name: str,
|
||
snippet: str,
|
||
segment_ids: List[str],
|
||
db: Session,
|
||
) -> MemoirStateSchema:
|
||
"""同步更新 slot"""
|
||
stmt = select(MemoirState).where(MemoirState.user_id == user_id)
|
||
result = db.execute(stmt)
|
||
state = result.scalar_one_or_none()
|
||
if not state:
|
||
_get_or_create_state_sync(user_id, db)
|
||
result = db.execute(stmt)
|
||
state = result.scalar_one()
|
||
|
||
slots: Dict[str, Dict] = state.slots or {}
|
||
stage_slots = slots.get(stage, {})
|
||
existing = stage_slots.get(slot_name, {})
|
||
|
||
merged_segment_ids = list({*(existing.get("segment_ids") or []), *segment_ids})
|
||
stage_slots[slot_name] = SlotData(
|
||
snippet=snippet, segment_ids=merged_segment_ids
|
||
).model_dump()
|
||
slots[stage] = stage_slots
|
||
state.slots = slots
|
||
state.current_stage = state.current_stage or stage
|
||
db.commit()
|
||
db.refresh(state)
|
||
return _coerce_state(state)
|
||
|
||
|
||
@shared_task(bind=True, max_retries=3, default_retry_delay=60)
|
||
def process_memoir_segments(self, user_id: str, segment_ids: List[str]):
|
||
"""
|
||
处理回忆录段落的 Celery 任务
|
||
|
||
Args:
|
||
user_id: 用户 ID
|
||
segment_ids: 段落 ID 列表
|
||
"""
|
||
task_id = self.request.id
|
||
logger.info(
|
||
f"开始处理回忆录段落: user_id={user_id}, task_id={task_id}, segments={len(segment_ids)}"
|
||
)
|
||
|
||
# 更新任务状态为 running
|
||
_update_task_status_sync(user_id, task_id, "running")
|
||
|
||
try:
|
||
with get_sync_db() as db:
|
||
chapters_to_enqueue: set[str] = set()
|
||
# 获取段落
|
||
stmt = select(Segment).where(Segment.id.in_(segment_ids))
|
||
result = db.execute(stmt)
|
||
segments = result.scalars().all()
|
||
|
||
if not segments:
|
||
logger.warning(f"未找到段落: {segment_ids}")
|
||
return {"status": "no_segments"}
|
||
|
||
# Memory ingest: transcript -> memory_sources, chunks, FTS
|
||
conv_id = getattr(segments[0], "conversation_id", None) or ""
|
||
transcript = "\n\n".join(seg.transcript_text or "" for seg in segments)
|
||
if transcript.strip():
|
||
try:
|
||
from app.features.memory.service import ingest_transcript_sync
|
||
|
||
ingest_transcript_sync(db, user_id, conv_id, transcript)
|
||
except Exception as e:
|
||
logger.warning("Memory ingest 跳过: %s", e)
|
||
|
||
# 获取用户状态和资料
|
||
state = _get_or_create_state_sync(user_id, db)
|
||
llm = _get_llm()
|
||
image_settings = MemoirImageSettings.from_env()
|
||
|
||
user_obj = db.get(User, user_id)
|
||
user_profile = ""
|
||
user_birth_year = None
|
||
if user_obj:
|
||
user_birth_year = user_obj.birth_year
|
||
user_profile = format_user_profile_context(
|
||
birth_year=user_obj.birth_year,
|
||
birth_place=user_obj.birth_place,
|
||
grew_up_place=user_obj.grew_up_place,
|
||
occupation=user_obj.occupation,
|
||
)
|
||
|
||
story_dispatch_ids: Set[str] = set()
|
||
|
||
def _process_category(
|
||
chapter_category: str,
|
||
category_segments: List,
|
||
state: MemoirStateSchema,
|
||
profile: str,
|
||
birth_year,
|
||
llm,
|
||
):
|
||
"""stories-first：路由 + 写 story，物化 chapter。"""
|
||
nonlocal story_dispatch_ids
|
||
chapter, needs_cover, disp = run_story_pipeline_for_category_batch(
|
||
db,
|
||
user_id=user_id,
|
||
chapter_category=chapter_category,
|
||
category_segments=category_segments,
|
||
state=state,
|
||
user_profile=profile,
|
||
user_birth_year=birth_year,
|
||
llm=llm,
|
||
)
|
||
story_dispatch_ids |= disp
|
||
db.flush()
|
||
db.refresh(chapter)
|
||
|
||
needs_cover_enqueue = (
|
||
image_settings.enabled and chapter_needs_cover_enqueue(chapter)
|
||
)
|
||
|
||
stmt_book = (
|
||
select(Book)
|
||
.where(Book.user_id == user_id)
|
||
.order_by(Book.updated_at.desc())
|
||
)
|
||
result_book = db.execute(stmt_book)
|
||
book = result_book.scalar_one_or_none()
|
||
if not book:
|
||
book = Book(
|
||
id=str(uuid.uuid4()),
|
||
user_id=user_id,
|
||
title="我的回忆录",
|
||
total_pages=0,
|
||
total_words=0,
|
||
cover_image_url=None,
|
||
)
|
||
db.add(book)
|
||
book.has_update = True
|
||
book.last_update_chapter_id = chapter.id
|
||
|
||
return chapter, needs_cover_enqueue
|
||
|
||
def _raise_retry():
|
||
raise self.retry(countdown=10)
|
||
|
||
memoir_orchestrator = MemoirOrchestrator()
|
||
chapters_to_enqueue, _ = memoir_orchestrator.run(
|
||
segments=segments,
|
||
llm=llm,
|
||
user_profile=user_profile,
|
||
user_birth_year=user_birth_year,
|
||
get_or_create_state=lambda: _get_or_create_state_sync(user_id, db),
|
||
update_slot=lambda stage, slot_name, snippet, seg_ids: (
|
||
_update_slot_sync(user_id, stage, slot_name, snippet, seg_ids, db)
|
||
),
|
||
acquire_lock=lambda stage: _acquire_chapter_lock(user_id, stage),
|
||
release_lock=lambda stage: _release_chapter_lock(user_id, stage),
|
||
process_category=_process_category,
|
||
raise_retry=_raise_retry,
|
||
)
|
||
|
||
# 标记段落为已处理
|
||
for seg in segments:
|
||
seg.processed = True
|
||
|
||
db.commit()
|
||
|
||
from app.tasks.chapter_compose_tasks import recompose_chapters_for_story
|
||
from app.tasks.story_image_tasks import generate_story_image
|
||
|
||
for sid in story_dispatch_ids:
|
||
try:
|
||
generate_story_image.delay(sid)
|
||
except Exception as exc:
|
||
logger.warning("generate_story_image delay: %s", exc)
|
||
try:
|
||
recompose_chapters_for_story.delay(sid)
|
||
except Exception as exc:
|
||
logger.warning("recompose_chapters_for_story delay: %s", exc)
|
||
|
||
from app.tasks.chapter_cover_enqueue import (
|
||
try_enqueue_generate_chapter_cover,
|
||
)
|
||
|
||
for chapter_id in sorted(chapters_to_enqueue):
|
||
if try_enqueue_generate_chapter_cover(chapter_id, source="pipeline"):
|
||
logger.info(f"派发章节封面任务: chapter={chapter_id}")
|
||
|
||
logger.info(f"回忆录处理完成: user_id={user_id}, task_id={task_id}")
|
||
|
||
# 更新任务状态为成功
|
||
_update_task_status_sync(
|
||
user_id, task_id, "success", {"processed": len(segments)}
|
||
)
|
||
|
||
return {"status": "success", "processed": len(segments)}
|
||
|
||
except Exception as e:
|
||
logger.error(f"回忆录处理失败: {e}")
|
||
|
||
# 更新任务状态为失败
|
||
_update_task_status_sync(user_id, task_id, "failure", {"error": str(e)})
|
||
|
||
# 重试
|
||
raise self.retry(exc=e)
|
||
|
||
|
||
@shared_task(bind=True, max_retries=3, default_retry_delay=30)
|
||
def generate_chapter_content(self, user_id: str, stage: str, new_content: str):
|
||
"""
|
||
单独生成章节内容的任务（用于实时更新）
|
||
|
||
Args:
|
||
user_id: 用户 ID
|
||
stage: 阶段
|
||
new_content: 新内容
|
||
"""
|
||
logger.info(f"生成章节内容: user_id={user_id}, stage={stage}")
|
||
|
||
try:
|
||
with get_sync_db() as db:
|
||
llm = _get_llm()
|
||
user_obj = db.get(User, user_id)
|
||
user_profile = ""
|
||
user_birth_year = None
|
||
if user_obj:
|
||
user_birth_year = user_obj.birth_year
|
||
user_profile = format_user_profile_context(
|
||
birth_year=user_obj.birth_year,
|
||
birth_place=user_obj.birth_place,
|
||
grew_up_place=user_obj.grew_up_place,
|
||
occupation=user_obj.occupation,
|
||
)
|
||
|
||
class _Seg:
|
||
def __init__(self, text: str):
|
||
self.id = str(uuid.uuid4())
|
||
self.transcript_text = text
|
||
|
||
state = _get_or_create_state_sync(user_id, db)
|
||
chapter, _, dispatch_ids = run_story_pipeline_for_category_batch(
|
||
db,
|
||
user_id=user_id,
|
||
chapter_category=stage,
|
||
category_segments=[_Seg(new_content)],
|
||
state=state,
|
||
user_profile=user_profile,
|
||
user_birth_year=user_birth_year,
|
||
llm=llm,
|
||
)
|
||
db.commit()
|
||
db.refresh(chapter)
|
||
|
||
from app.tasks.chapter_compose_tasks import recompose_chapters_for_story
|
||
from app.tasks.story_image_tasks import generate_story_image
|
||
|
||
for sid in dispatch_ids:
|
||
try:
|
||
generate_story_image.delay(sid)
|
||
except Exception as exc:
|
||
logger.warning("generate_story_image delay: %s", exc)
|
||
try:
|
||
recompose_chapters_for_story.delay(sid)
|
||
except Exception as exc:
|
||
logger.warning("recompose_chapters_for_story delay: %s", exc)
|
||
|
||
image_settings = MemoirImageSettings.from_env()
|
||
if (
|
||
image_settings.enabled
|
||
and chapter
|
||
and chapter_needs_cover_enqueue(chapter)
|
||
):
|
||
from app.tasks.chapter_cover_enqueue import (
|
||
try_enqueue_generate_chapter_cover,
|
||
)
|
||
|
||
try_enqueue_generate_chapter_cover(chapter.id, source="pipeline")
|
||
return {"status": "success"}
|
||
|
||
except Exception as e:
|
||
logger.error(f"章节生成失败: {e}")
|
||
raise self.retry(exc=e)
|
||
|
||
|
||
def build_cos_key(user_id: str, chapter_id: str, index: int | str, prompt: str) -> str:
|
||
short_hash = hashlib.sha1(prompt.encode("utf-8")).hexdigest()[:10]
|
||
index_part = "cover" if index in (-1, "cover") else str(index)
|
||
return f"memoirs/{user_id}/{chapter_id}/{index_part}-{short_hash}.png"
|
||
|
||
|
||
@shared_task(bind=True, max_retries=3, default_retry_delay=30)
|
||
def generate_chapter_images(self, chapter_id: str):
|
||
"""异步补图：仅处理章节级 MemoirImage（pending/failed）。正文配图走 story_image_tasks。"""
|
||
lock_acquired = False
|
||
provider = None
|
||
with get_sync_db() as db:
|
||
try:
|
||
stmt = (
|
||
select(Chapter)
|
||
.where(Chapter.id == chapter_id)
|
||
.options(joinedload(Chapter.images))
|
||
)
|
||
chapter = db.execute(stmt).unique().scalar_one_or_none()
|
||
if not chapter:
|
||
logger.info("章节补图跳过: chapter=%s, reason=not_found", chapter_id)
|
||
return {"status": "no_chapter"}
|
||
cover_to_generate = cover_memoir_image_pending_or_failed(chapter)
|
||
if not cover_to_generate:
|
||
logger.info(
|
||
"章节补图跳过: chapter=%s, reason=no_pending_cover", chapter_id
|
||
)
|
||
return {"status": "no_images"}
|
||
|
||
settings = MemoirImageSettings.from_env()
|
||
if not settings.enabled:
|
||
logger.info("章节补图跳过: chapter=%s, reason=disabled", chapter_id)
|
||
return {"status": "disabled"}
|
||
|
||
lock_acquired = _acquire_chapter_image_lock(chapter_id)
|
||
if not lock_acquired:
|
||
logger.info("章节补图跳过: chapter=%s, reason=locked", chapter_id)
|
||
return {"status": "locked"}
|
||
|
||
prompt_orchestrator = ImagePromptOrchestrator(_get_llm(), settings)
|
||
image_generator = get_image_generator()
|
||
storage = TencentCosStorageService.from_env()
|
||
logger.info(
|
||
"章节封面补图开始: chapter=%s, cover=%s",
|
||
chapter_id,
|
||
bool(cover_to_generate),
|
||
)
|
||
retryable_failures: list[str] = []
|
||
permanent_failures: list[str] = []
|
||
|
||
def _apply_item_to_memoir_image(rec: MemoirImage, d: dict):
|
||
rec.placeholder = d.get("placeholder")
|
||
rec.description = d.get("description")
|
||
rec.status = (d.get("status") or "pending").strip() or "pending"
|
||
rec.prompt = d.get("prompt")
|
||
rec.url = d.get("url")
|
||
rec.storage_key = d.get("storage_key")
|
||
rec.provider = d.get("provider")
|
||
rec.style = d.get("style")
|
||
rec.size = d.get("size")
|
||
rec.error = d.get("error")
|
||
rec.retryable = d.get("retryable")
|
||
rec.updated_at = datetime.now(timezone.utc)
|
||
|
||
# 封面图（正文来自 canonical_markdown）
|
||
if cover_to_generate:
|
||
current_item = memoir_image_to_dict(cover_to_generate) or {}
|
||
current_item.setdefault("placeholder", "")
|
||
current_item.setdefault("description", "")
|
||
current_item["status"] = IMAGE_STATUS_PROCESSING
|
||
current_item["updated_at"] = datetime.now(timezone.utc).isoformat()
|
||
_apply_item_to_memoir_image(cover_to_generate, current_item)
|
||
db.commit()
|
||
try:
|
||
raw_md = (
|
||
getattr(chapter, "canonical_markdown", None) or ""
|
||
).strip()
|
||
context_excerpt = " ".join(raw_md.split("\n")[:5])[:200]
|
||
prompt_data = prompt_orchestrator.build_cover_prompt(
|
||
chapter_title=chapter.title,
|
||
chapter_category=chapter.category or "",
|
||
context_excerpt=context_excerpt,
|
||
)
|
||
result = image_generator.generate(
|
||
prompt_data["prompt"],
|
||
prompt_data["size"],
|
||
prompt_data["style"],
|
||
)
|
||
if result.status != TaskStatus.COMPLETED or not result.image_url:
|
||
raise RuntimeError(result.error or "Image generation failed")
|
||
image_bytes = _normalize_image_bytes_for_storage(
|
||
image_generator.download_image(result.image_url)
|
||
)
|
||
key = build_cos_key(
|
||
chapter.user_id, chapter.id, "cover", prompt_data["prompt"]
|
||
)
|
||
current_item["storage_key"] = key
|
||
current_item["url"] = storage.upload_bytes(
|
||
image_bytes, key, "image/png"
|
||
)
|
||
current_item["prompt"] = prompt_data["prompt"]
|
||
current_item["style"] = prompt_data["style"]
|
||
current_item["size"] = prompt_data["size"]
|
||
current_item["status"] = IMAGE_STATUS_COMPLETED
|
||
current_item["error"] = None
|
||
current_item["retryable"] = None
|
||
current_item["updated_at"] = datetime.now(timezone.utc).isoformat()
|
||
_apply_item_to_memoir_image(cover_to_generate, current_item)
|
||
db.commit()
|
||
logger.info(
|
||
"章节封面图生成成功: chapter=%s, url=%s",
|
||
chapter_id,
|
||
current_item["url"],
|
||
)
|
||
except Exception as exc:
|
||
failure_msg = f"cover, error={exc}"
|
||
if isinstance(exc, CosUploadError) and not exc.retryable:
|
||
permanent_failures.append(failure_msg)
|
||
logger.error(
|
||
"封面图上传不可重试，清理: chapter=%s, %s",
|
||
chapter_id,
|
||
failure_msg,
|
||
)
|
||
db.delete(cover_to_generate)
|
||
db.commit()
|
||
else:
|
||
current_item = memoir_image_to_dict(cover_to_generate) or {}
|
||
current_item["status"] = IMAGE_STATUS_FAILED
|
||
current_item["error"] = str(exc)
|
||
current_item["retryable"] = True
|
||
current_item["updated_at"] = datetime.now(
|
||
timezone.utc
|
||
).isoformat()
|
||
retryable_failures.append(failure_msg)
|
||
logger.warning(
|
||
"封面图生成失败(可重试): chapter=%s, %s",
|
||
chapter_id,
|
||
failure_msg,
|
||
)
|
||
_apply_item_to_memoir_image(cover_to_generate, current_item)
|
||
db.commit()
|
||
|
||
if retryable_failures:
|
||
raise RuntimeError(
|
||
f"章节补图存在可重试失败项: chapter={chapter_id}, failures={'; '.join(retryable_failures)}"
|
||
)
|
||
return {"status": "success"}
|
||
except Exception as exc:
|
||
logger.error("章节补图任务失败: chapter=%s, error=%s", chapter_id, exc)
|
||
raise self.retry(exc=exc)
|
||
finally:
|
||
if provider:
|
||
provider.close()
|
||
if lock_acquired:
|
||
_release_chapter_image_lock(chapter_id)
|