fix: 测试清单遗留bug批量修复(15条:商品库/消费/团队/设置/消息中心/平台套图/资产库)

- R6 商品图删除不生效: 封面asset移交+绕开prefetch缓存, 前端封面缩图补删除入口
- R48 消息中心长文本与UI框错位: 胶囊单行省略+优先级标签禁压缩
- R70 账单流水筛选: 后端加ledger_type过滤, count随筛选变化, 切筛选重置页码
- R72 月限额改后不刷新: 团队页/消费页自取最新teamSettings, 两页同源
- R83/R86 平台套图提示词框加大+模型胶囊嵌入输入框(复用Pill组件)
- R96 未读角标: 修KeyTextTransform注解过滤触发MySQL 3141致接口500
- R100 工作台记录丢失: 新增GET /api/ai/tasks/workbench/ 同源恢复, 废除localStorage方案
- R104 卖点添加按钮移出输入框, 新建抽屉+编辑态统一
- R106 商品库宽屏锁5列, 10个/页铺满两行
- R108 资产删除改软删+单张删除+回收站二次确认; trash页商品/资产双分区+restore/purge端点
- R109 生成图自动入资产库(person演员立绘除外), 迁移0008存量回填, 移除全部加入资产库入口
- R65 无需改动(22268d6已修, 测旧部署所致)

验证: tsc/build/check/makemigrations --check 通过, 后端测试210/210, perf-probe PASS

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
zyc
2026-07-02 11:30:06 +08:00
co-authored by Claude Fable 5
parent 22268d608b
commit aab4d7ea4c
28 changed files with 924 additions and 476 deletions
+5 -2
View File
@@ -2598,8 +2598,11 @@ def run_standalone_image_task(*, task_id: str) -> None:
id=asset_id, team=team, created_by=user, name=f"AI 生成 · {asset_label} · {index + 1}",
asset_type=Asset.Type.IMAGE, source=Asset.Source.AI_GENERATED, category=asset_category, origin_task=task,
metadata=asset_meta,
# 工作台生成的图默认不进资产库列表,只在工作台展示;用户「加入资产库」后才置 True
in_library=False,
# R109:图片生成(模特上身图/平台套图/图片创作/商品三视图)的成图**自动入资产库**,
# 不再由用户点「加入资产库」手动入库。仅「生成演员」(mode=model 无商品 → person)
# 仍暂存(in_library=False),由演员库「保存人物」时入库——否则未保存的立绘会
# 混进「我的演员」列表(ZWQ#6)。
in_library=asset_category != Asset.Category.PERSON,
)
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)
except Exception as exc: # noqa: BLE001 — 失败要退费并把错误记进 AITask 供前端轮询读取;不向上抛(避免 celery 重试二次扣费)
+118
View File
@@ -427,19 +427,25 @@ class StandaloneCategoryTests(TestCase):
self.assertEqual(a.metadata.get("mode"), "model")
self.assertTrue(a.metadata.get("batch_id")) # 成组
self.assertEqual(a.metadata.get("model_entity_id"), "ent-1") # 溯源模特库
self.assertTrue(a.in_library) # R109:图片生成成图自动入资产库
def test_platform_kit_category(self):
a = self._run("cover", product_id=str(self.product.id))
self.assertEqual(a.category, Asset.Category.PLATFORM_KIT)
self.assertTrue(a.in_library) # R109
def test_free_create_category(self):
a = self._run("image")
self.assertEqual(a.category, Asset.Category.FREE_CREATE)
self.assertTrue(a.in_library) # R109
def test_generate_actor_stays_person(self):
# 生成演员:mode=model 但无 product → 视频角色,仍 person(送审范围内)
a = self._run("model")
self.assertEqual(a.category, Asset.Category.PERSON)
# R109 例外:演员立绘仍暂存(不自动入库),由演员库「保存人物」时置 True——
# 否则未保存立绘会混进「我的演员」列表(ZWQ#6)
self.assertFalse(a.in_library)
class TriviewAutoEnrollTests(TestCase):
@@ -544,3 +550,115 @@ class ChatStreamReasoningTests(SimpleTestCase):
self.assertEqual([e["type"] for e in events], ["reasoning", "reasoning", "delta", "delta", "done"])
self.assertEqual([e["text"] for e in events if e["type"] == "reasoning"], ["先想想", "用户要4镜"])
self.assertEqual("".join(e["text"] for e in events if e["type"] == "delta"), "正在生成脚本…")
class WorkbenchAndUnreadTests(TestCase):
"""R100(工作台记录后端持久化)+ R96(未读生成任务角标)+ R109(删除联动)端到端:
· /api/ai/tasks/workbench/ mode+product 回放批次流(与任务中心同源),软删的图不回显;
· /api/ai/tasks/unread/ 只统计 modemodel/cover/image 的未读任务,按团队隔离;
· /api/ai/tasks/mark-read/ 按商品清零"""
def setUp(self):
self.user = User.objects.create_user(username="wbowner", password="pass")
self.team = Team.objects.create(name="WB", owner=self.user)
TeamMember.objects.create(team=self.team, user=self.user, role="owner", status="active")
CreditAccount.objects.create(team=self.team, balance="100.0000")
self.product = Product.objects.create(team=self.team, created_by=self.user, title="工作台商品")
cover = Asset.objects.create(
team=self.team, created_by=self.user, name="主图", asset_type=Asset.Type.IMAGE,
source=Asset.Source.UPLOAD, category=Asset.Category.PRODUCT_IMAGE,
)
AssetFile.objects.create(asset=cover, object_key="c.png", bucket="b", content_type="image/png", preview_url="http://x/cover.png", is_primary=True)
self.product.cover_asset = cover
self.product.save(update_fields=["cover_asset"])
self.client = APIClient()
self.client.force_authenticate(self.user)
def _patch_provider(self):
provider = patch("apps.ai.services.get_image_provider").start()
prov = provider.return_value
prov.image_edit.return_value = {"data": [{"url": "http://x/out.png"}]}
prov.image_generation.return_value = {"data": [{"url": "http://x/out.png"}]}
prov.extract_first_media_url.return_value = "http://x/out.png"
media = patch("apps.ai.services.VolcanoArkProvider.media_to_bytes").start()
media.return_value = (BytesIO(b"img"), "image/png")
store = patch("apps.ai.services.TosStorage").start()
stored = store.return_value.upload_fileobj.return_value
stored.object_key, stored.bucket, stored.content_type, stored.size_bytes = "o.png", "b", "image/png", 3
self.addCleanup(patch.stopall)
return prov
def _generate(self, mode="cover", count=2, platform_id=None):
from apps.ai.services import run_standalone_image_task
self._patch_provider()
tasks = enqueue_standalone_images(
team=self.team, user=self.user, prompt="平台套图测试", mode=mode, count=count,
product_id=str(self.product.id), ratio="1:1", platform_id=platform_id,
)
for t in tasks:
run_standalone_image_task(task_id=str(t.id))
return tasks
def test_workbench_returns_batches_and_hides_deleted_assets(self):
tasks = self._generate(mode="cover", count=2, platform_id="douyin")
r = self.client.get(f"/api/ai/tasks/workbench/?mode=cover&product={self.product.id}")
self.assertEqual(r.status_code, 200, r.content)
rows = r.json()["tasks"]
self.assertEqual(len(rows), 2)
# 同一批共享 batch_id;prompt/ratio/platform/product 从 payload 抽出;每任务带成图
self.assertEqual(len({row["batch_id"] for row in rows}), 1)
self.assertEqual(rows[0]["prompt"], "平台套图测试")
self.assertEqual(rows[0]["ratio"], "1:1")
self.assertEqual(rows[0]["platform_id"], "douyin")
self.assertEqual(rows[0]["product_id"], str(self.product.id))
self.assertEqual(len(rows[0]["assets"]), 1)
# 其他 mode / 其他商品查不到这批
self.assertEqual(self.client.get("/api/ai/tasks/workbench/?mode=model").json()["tasks"], [])
# R108/R109:软删其中一张 → 该任务的 assets 随之为空(删除联动),资产不再回显
asset = Asset.objects.filter(origin_task=tasks[0]).first()
d = self.client.delete(f"/api/assets/{asset.id}/")
self.assertEqual(d.status_code, 204, d.content)
asset.refresh_from_db()
self.assertTrue(asset.is_deleted) # 回收站软删,不是物理删除
rows = self.client.get(f"/api/ai/tasks/workbench/?mode=cover&product={self.product.id}").json()["tasks"]
by_id = {row["id"]: row for row in rows}
self.assertEqual(by_id[str(tasks[0].id)]["assets"], [])
self.assertEqual(len(by_id[str(tasks[1].id)]["assets"]), 1)
def test_workbench_rejects_unknown_mode(self):
# mode 白名单:脚本 agent 复用的 auto/theme/revise 不能混进来
self.assertEqual(self.client.get("/api/ai/tasks/workbench/?mode=auto").status_code, 400)
self.assertEqual(self.client.get("/api/ai/tasks/workbench/").status_code, 400)
def test_unread_counts_and_mark_read(self):
self._generate(mode="cover", count=2, platform_id="douyin")
r = self.client.get("/api/ai/tasks/unread/")
self.assertEqual(r.status_code, 200, r.content)
body = r.json()
self.assertEqual(body["total"], 2)
self.assertEqual(body["by_product"], {str(self.product.id): 2})
# 按商品标记已读 → 清零
m = self.client.post("/api/ai/tasks/mark-read/", {"product_id": str(self.product.id)}, format="json")
self.assertEqual(m.status_code, 200, m.content)
self.assertEqual(m.json()["updated"], 2)
body = self.client.get("/api/ai/tasks/unread/").json()
self.assertEqual(body["total"], 0)
self.assertEqual(body["by_product"], {})
def test_unread_is_team_scoped_and_mode_whitelisted(self):
self._generate(mode="cover", count=1)
# 非生成任务(脚本 agent 复用 mode=auto)不计入未读
AITask.objects.create(
team=self.team, created_by=self.user, task_type=AITask.Type.SCRIPT_GENERATION,
model_config=ModelConfig.objects.first(), idempotency_key="script-x",
request_payload={"mode": "auto"},
)
self.assertEqual(self.client.get("/api/ai/tasks/unread/").json()["total"], 1)
# 另一团队的用户看不到本团队的未读
other = User.objects.create_user(username="wbother", password="pass")
other_team = Team.objects.create(name="WB2", owner=other)
TeamMember.objects.create(team=other_team, user=other, role="owner", status="active")
c2 = APIClient()
c2.force_authenticate(other)
self.assertEqual(c2.get("/api/ai/tasks/unread/").json()["total"], 0)
+69 -4
View File
@@ -127,8 +127,11 @@ class AITaskViewSet(TeamScopedViewSetMixin, ReadOnlyModelViewSet):
_GEN_MODES = ("model", "cover", "image")
def _unread_base(self):
"""本团队、属于图片生成、且未读(read_at is null)的任务集合(已 annotate rp_mode/rp_product_id)。"""
return self.get_queryset().filter(rp_mode__in=self._GEN_MODES, read_at__isnull=True)
"""本团队、属于图片生成、且未读(read_at is null)的任务集合(已 annotate rp_mode/rp_product_id)。
过滤必须走 request_payload__mode 路径查找而非 rp_mode 注解:KeyTextTransform 注解上的
exact/in 查找在 MySQL 会把裸字符串塞进 JSON_EXTRACT 当文档解析 3141 全查询炸
(sqlite 编译路径不同,单测测不出来);路径查找 RHS 会被正确 JSON 编码"""
return self.get_queryset().filter(request_payload__mode__in=self._GEN_MODES, read_at__isnull=True)
@action(detail=False, methods=["get"], url_path="unread")
def unread(self, request):
@@ -142,6 +145,68 @@ class AITaskViewSet(TeamScopedViewSetMixin, ReadOnlyModelViewSet):
by_product[str(pid)] = by_product.get(str(pid), 0) + 1
return Response({"total": total, "by_product": by_product})
@action(detail=False, methods=["get"], url_path="workbench")
def workbench(self, request):
"""R100:工作台(模特上身图/平台套图/图片创作)的生成记录改从后端持久数据拉取 ——
原先只存前端 localStorage(1 小时过期换浏览器/清缓存即空),任务中心有记录而工作台丢
与任务中心同源 = 同一批 AITask; request_payload.mode(白名单)+ product 过滤,
附带每个任务的存活成图资产,前端按 batch_id 归批还原批次流
性能:仍只用 KeyTextTransform SQL 层抽 payload 标量defer 两个巨型 payload ,不整列拖出"""
from django.db.models.fields.json import KeyTextTransform
mode = str(request.query_params.get("mode") or "").strip()
if mode not in self._GEN_MODES:
return Response({"detail": "mode 仅支持 model / cover / image"}, status=status.HTTP_400_BAD_REQUEST)
try:
limit = min(500, max(1, int(request.query_params.get("limit") or 200)))
except (TypeError, ValueError):
limit = 200
qs = (
AITask.objects.filter(
team=self.get_team(),
project__isnull=True, # 工作台独立生图不挂项目;排除流水线内部任务
task_type__in=[AITask.Type.PERSON_IMAGE, AITask.Type.PRODUCT_IMAGE],
)
.defer("request_payload", "response_payload")
.annotate(
rp_mode=KeyTextTransform("mode", "request_payload"),
rp_batch_id=KeyTextTransform("batch_id", "request_payload"),
rp_product_id=KeyTextTransform("product_id", "request_payload"),
rp_prompt=KeyTextTransform("prompt", "request_payload"),
rp_ratio=KeyTextTransform("ratio", "request_payload"),
rp_platform_id=KeyTextTransform("platform_id", "request_payload"),
rp_model_id=KeyTextTransform("model_id", "request_payload"),
rp_model_entity_id=KeyTextTransform("model_entity_id", "request_payload"),
)
.filter(request_payload__mode=mode) # 路径查找,不能用 rp_mode 注解比较(MySQL 3141,见 _unread_base)
)
product_id = str(request.query_params.get("product") or "").strip()
if product_id:
qs = qs.filter(request_payload__product_id=product_id)
tasks = list(qs.order_by("-created_at").prefetch_related("generated_assets", "generated_assets__files")[:limit])
tasks.reverse() # 旧 → 新,与对话流/工作台批次流的时间序一致
data = [
{
"id": str(t.id),
"status": t.status,
"error_message": t.error_message,
"prompt": t.rp_prompt or "",
"batch_id": t.rp_batch_id or "",
"ratio": t.rp_ratio or "",
"product_id": t.rp_product_id or "",
"model_id": t.rp_model_id or "",
"model_entity_id": t.rp_model_entity_id or "",
"platform_id": t.rp_platform_id or "",
"created_at": t.created_at,
# 软删的图不再出现在工作台记录里(R109:删除资产库图片 → 任务记录联动)
"assets": AssetSerializer(
[a for a in t.generated_assets.all() if not a.is_deleted], many=True
).data,
}
for t in tasks
]
return Response({"tasks": data})
@action(detail=False, methods=["post"], url_path="mark-read")
def mark_read(self, request):
"""标记已读 → 清零未读胶囊。
@@ -154,9 +219,9 @@ class AITaskViewSet(TeamScopedViewSetMixin, ReadOnlyModelViewSet):
if isinstance(ids, str):
ids = [s for s in ids.split(",") if s.strip()]
if product_id:
qs = qs.filter(rp_product_id=product_id)
qs = qs.filter(request_payload__product_id=product_id)
if batch_id:
qs = qs.filter(rp_batch_id=batch_id)
qs = qs.filter(request_payload__batch_id=batch_id)
if ids:
qs = qs.filter(id__in=[str(i).strip() for i in ids if str(i).strip()])
updated = qs.update(read_at=timezone.now())