Files
yingqing/core/backend/apps/assets/views.py
T
zycandClaude Opus 4.8 2f6d3f5823 perf(core): 全站资产改服务端懒加载,撤掉 bootstrap 全量 allAssets
不再在启动时一次性拉全部资产(数据多时随之变慢/串多页),各页按需服务端分页/过滤:
- 生图(ImageWorkbench 模特库按 category=person、AssetFactory 按 ai 生成图)页面内懒加载。
- 商品库/项目向导封面图改用后端内嵌 cover_preview_url / images[].preview_url,不再反查全局 assets。
- 商品详情 AI 素材按 ?product 懒加载(上传/生成/采用三视图后刷新)。
- 工作台资产总数走轻量 /assets/summary/。
- App bootstrap 删除 api.allAssets() 与全局 assets state;loadData 仅留必要全局数据。
- 后端 ?product 过滤并集补上 ProductImage 关联资产,等价前端原 belongsToProduct。
- pipeline 用项目详情已内嵌的 *_url 显示,调用处传空 assets(不再依赖全局全量)。

闸验证:9 页功能正常、无分页瀑布、无接口报错;首屏不再含资产全量拉取。

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-17 18:25:05 +08:00

181 lines
8.3 KiB
Python

from pathlib import Path
import uuid
import requests
from django.db import transaction
from django.db.models import Q
from django.http import StreamingHttpResponse
from rest_framework import status
from rest_framework.decorators import action
from rest_framework.pagination import PageNumberPagination
from rest_framework.parsers import FormParser, MultiPartParser
from rest_framework.response import Response
from rest_framework.views import APIView
from rest_framework.viewsets import ModelViewSet
from apps.common.api import TeamScopedViewSetMixin, get_current_team
from .models import Asset, AssetFile
from .serializers import AssetSerializer, AssetUploadSerializer
from .storage import TosStorage
class AssetPagination(PageNumberPagination):
"""允许前端用 ?page_size= 覆盖(默认 20,上限 200)。前端「取全部资产」一次大页拉完,
不再逐页串行(原来 20/页 → 资产多时每次刷新要串十几个请求,整页很慢)。"""
page_size_query_param = "page_size"
max_page_size = 200
# 资产库 tab → 查询条件。与前端 assetTab(library.tsx)完全一致,供服务端按页过滤/计数。
_KNOWN_CATS = ["person", "scene", "product_image", "final_video", "upload"]
def _tab_q(tab: str) -> Q:
if tab == "people":
return Q(category="person")
if tab == "scenes":
return Q(category="scene")
if tab == "products":
return Q(category="product_image")
if tab == "uploads":
return Q(category="upload")
if tab == "finals": # final_video,或「未归类但是视频」
return Q(category="final_video") | (~Q(category__in=_KNOWN_CATS) & Q(asset_type="video"))
if tab == "unclassified": # 未归类且非视频
return ~Q(category__in=_KNOWN_CATS) & ~Q(asset_type="video")
return Q()
class AssetViewSet(TeamScopedViewSetMixin, ModelViewSet):
# select_related 回溯链:asset → origin_task → project,供序列化器解析资产归属商品(避免 N+1)。
# ★ defer 掉 AITask 的两个巨型 JSON 列(request/response payload):列表序列化只需 project.product_id,
# 不 defer 的话 select_related 会把每个资产关联 AITask 的完整 AI 请求/响应 payload 全拖出来,
# 200 个资产实测 100s+(数据越多越慢);defer 后 <1s、product 仍正常解析、无额外查询。
queryset = (
Asset.objects.prefetch_related("files")
.select_related("origin_task__project")
.defer("origin_task__request_payload", "origin_task__response_payload")
.all()
)
serializer_class = AssetSerializer
pagination_class = AssetPagination
search_fields = ["name", "description"]
ordering_fields = ["created_at", "updated_at", "name"]
def get_queryset(self):
"""服务端过滤,支持各页按需懒加载(不再前端取全量后客户端切片)。
参数:tab(资产库分桶)/category/asset_type/source/product/q(搜索)/m_<key>(metadata 过滤)/ordering。
默认按 -created_at 排序——无 ORDER BY 时分页会重/漏。"""
qs = super().get_queryset()
p = self.request.query_params
if p.get("tab"):
qs = qs.filter(_tab_q(p["tab"]))
if p.get("category"):
qs = qs.filter(category=p["category"])
if p.get("asset_type"):
qs = qs.filter(asset_type=p["asset_type"])
if p.get("source"):
qs = qs.filter(source=p["source"])
if p.get("product"):
# 资产归属商品:独立生图写 metadata.product_id;项目内生成回溯 origin_task→project→product;
# 上传的商品图经 ProductImage 关联。三路并集 = 前端 ProductDetail 的 belongsToProduct。
pid = p["product"]
qs = qs.filter(
Q(metadata__product_id=pid)
| Q(origin_task__project__product_id=pid)
| Q(product_images__product_id=pid)
).distinct()
if p.get("q"):
qs = qs.filter(Q(name__icontains=p["q"]) | Q(description__icontains=p["q"]))
for key, val in p.items():
if key.startswith("m_") and val:
qs = qs.filter(**{f"metadata__{key[2:]}": val})
ordering = p.get("ordering") or "-created_at"
return qs.order_by(ordering)
@action(detail=False, methods=["get"])
def summary(self, request):
"""资产库 tab 计数(人物/场景/商品图/成片/我的上传/未分类),供 tab 徽标——不必取全量。"""
base = Asset.objects.filter(team=self.get_team())
tabs = ["people", "scenes", "products", "finals", "uploads", "unclassified"]
return Response({t: base.filter(_tab_q(t)).count() for t in tabs})
@action(detail=False, methods=["get"])
def facets(self, request):
"""某 tab 下真实存在的筛选项(来源/类型/指定 metadata 键的取值),供下拉「只列真有的」。
参数:tab、meta_keys=gender,age,role,...(逗号分隔)。"""
base = Asset.objects.filter(team=self.get_team())
if request.query_params.get("tab"):
base = base.filter(_tab_q(request.query_params["tab"]))
sources = sorted(s for s in base.values_list("source", flat=True).distinct() if s)
kinds = sorted(k for k in base.values_list("asset_type", flat=True).distinct() if k)
meta = {}
for key in (k for k in request.query_params.get("meta_keys", "").split(",") if k):
vals = base.values_list(f"metadata__{key}", flat=True)
meta[key] = sorted({str(v) for v in vals if v not in (None, "")})
return Response({"sources": sources, "kinds": kinds, "metadata": meta})
@action(detail=True, methods=["get"], url_path="raw")
def raw(self, request, pk=None):
"""同源流式代理资产主文件。TOS 桶未配 CORS,浏览器 JS 读不到跨域媒体数据——
编辑器抽视频缩略图(canvas 会被 taint)/解码音频波形(fetch 被拦)都需要走这里。"""
asset = self.get_object()
primary = asset.files.filter(is_primary=True).first() or asset.files.first()
if primary is None:
return Response({"detail": "asset has no file"}, status=status.HTTP_404_NOT_FOUND)
url = TosStorage().presigned_get_url(object_key=primary.object_key, expires_in=600)
upstream_headers = {}
if request.META.get("HTTP_RANGE"):
upstream_headers["Range"] = request.META["HTTP_RANGE"]
upstream = requests.get(url, headers=upstream_headers, stream=True, timeout=120)
response = StreamingHttpResponse(
upstream.iter_content(chunk_size=256 * 1024),
status=upstream.status_code,
content_type=primary.content_type or "application/octet-stream",
)
for header in ("Content-Length", "Content-Range", "Accept-Ranges"):
if header in upstream.headers:
response[header] = upstream.headers[header]
return response
class AssetUploadView(APIView):
parser_classes = [MultiPartParser, FormParser]
@transaction.atomic
def post(self, request):
serializer = AssetUploadSerializer(data=request.data)
serializer.is_valid(raise_exception=True)
team = get_current_team(request.user)
upload = serializer.validated_data["file"]
suffix = Path(upload.name).suffix.lower()
asset_id = uuid.uuid4()
object_key = f"teams/{team.id}/uploads/{asset_id}{suffix}"
stored = TosStorage().upload_fileobj(
fileobj=upload.file,
object_key=object_key,
content_type=upload.content_type or "application/octet-stream",
)
asset = Asset.objects.create(
id=asset_id,
team=team,
created_by=request.user,
name=serializer.validated_data.get("name") or upload.name,
asset_type=serializer.validated_data["asset_type"],
source=Asset.Source.UPLOAD,
category=serializer.validated_data["category"],
description=serializer.validated_data.get("description", ""),
)
AssetFile.objects.create(
asset=asset,
object_key=stored.object_key,
bucket=stored.bucket,
content_type=stored.content_type,
size_bytes=stored.size_bytes,
is_primary=True,
)
return Response(AssetSerializer(asset).data, status=status.HTTP_201_CREATED)