A8多套打包+M4归档+R5多图:存量功能备份

A8 多套交付包(packaging_task.py):
- 修复交付包只打第1条混乱note的bug,按ImageCandidate.strategy分A/B/C组
- 每组生独立note_0N夹(6图+文案.txt),同seq留最新去重,老数据兼容
- task74端到端验:3套各6图,独立agent7项交叉验证全过

M4 归档(tasks.py/exports.py/前端):
- list_tasks加date_from/date_to/product_id筛选+product_name批量填(防N+1)
- 新增exports.py:产品JSON导出+标杆CSV导出(UTF-8 BOM)
- 前端HistoryFilters日期/产品筛选+产品列+打回原因红banner
- response.py加raise_param_error;独立agent验A1/A2/A9通过

R5 产品多图(product_images.py/020迁移/前端):
- product_images表+5端点(上传/列/改场景/设主图/删图)
- 生图按ROLE_SCENE_PREFERENCE选对应场景图,回落primary
- 前端ProductImageManager多图画廊

R6 账号config拆页(settings/):
- 配置页按角色拆/settings(运营+组长+admin)+/config(仅admin)
- Key只显末4位不显余额(守红线)

核销表对齐真实代码状态:D1改稿框/M7裂变/E12评图分纠偏为已完成(曾漏回写)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

backend/app/workers/packaging_task.py

@@ -42,47 +42,62 @@ def build_delivery_package(self, package_id: int) -> dict:
         settings = get_settings()
         upload_base = settings.UPLOAD_BASE_PATH.rstrip("/")
 
-        selected_text = db.query(TextCandidate).filter(
+        # A8 多套打包：按 strategy(A/B/C 三套正交叙事)分组，每套成一篇独立 note。
+        # 北哥拿到的交付包含完整 3 套（note_01/02/03），不再只打第 1 条文案。
+        selected_texts = db.query(TextCandidate).filter(
             TextCandidate.task_id == task_id, TextCandidate.is_selected == True,
-        ).first()
-        # 整套全打（倩倩姐2026-06-08拍板）：一条笔记的全部图按 seq 排序进包，
-        # 不再只打 is_selected 的封面。北哥6张标准套 seq=1 是 hook 封面，天然排第一。
-        selected_images = db.query(ImageCandidate).filter(
-            ImageCandidate.task_id == task_id,
-        ).order_by(ImageCandidate.seq).all()
-
-        if not selected_text:
+        ).order_by(TextCandidate.id).all()
+        if not selected_texts:
             raise ValueError("无已选文案，请先选择文案")
 
-        text_data = json.loads(selected_text.content or "{}")
-        images_data = []
-        for ic in selected_images:
+        # 整套全打：一套内全部图按 seq 排序进包，不只打封面。重生场景同 (strategy,seq)
+        # 可能多条(新增不删旧)，去重取最新(id最大)，避免包内重复图。
+        all_images = db.query(ImageCandidate).filter(
+            ImageCandidate.task_id == task_id,
+        ).order_by(ImageCandidate.strategy, ImageCandidate.seq).all()
+
+        def _read_image(ic) -> dict:
             img_bytes = b""
             if ic.url:
-                # url 形如 /uploads/ws/task/file.jpg，本身已含 uploads 前缀。
-                # 工作目录是 /app，直接 lstrip("/") 当相对路径读，不能再拼 upload_base(会重复 uploads/uploads)。
-                rel = ic.url.lstrip("/")
-                abs_path = rel
+                # url 已含 uploads 前缀；工作目录 /app，lstrip 当相对路径读，勿再拼 base(防 uploads/uploads)
                 try:
-                    with open(abs_path, "rb") as f:
+                    with open(ic.url.lstrip("/"), "rb") as f:
                         img_bytes = f.read()
                 except OSError as e:
-                    logger.warning("图片读取失败，跳过：%s %s", abs_path, e)
-            images_data.append({
+                    logger.warning("图片读取失败，跳过：%s %s", ic.url, e)
+            return {
                 "seq": ic.seq,
                 "role": ic.role.value if hasattr(ic.role, "value") else str(ic.role),
                 "data": img_bytes,
-            })
+            }
 
-        notes = [{
-            "title": text_data.get("title", ""),
-            "content": text_data.get("content", ""),
-            "tags": text_data.get("tags", []),
-            "images": images_data,
-            "banned_word_status": (selected_text.banned_word_status.value
-                                   if hasattr(selected_text.banned_word_status, "value")
-                                   else str(selected_text.banned_word_status)),
-        }]
+        # 按 strategy 分组（A/B/C；老数据 strategy=None 归一套，向后兼容）
+        from collections import OrderedDict
+        groups: "OrderedDict[str, dict]" = OrderedDict()
+        for ic in all_images:
+            slot = groups.setdefault(ic.strategy or "_", {})
+            prev = slot.get(ic.seq)
+            if prev is None or ic.id > prev.id:
+                slot[ic.seq] = ic  # 同 seq 留最新
+
+        notes = []
+        for idx, (_strategy, slot) in enumerate(groups.items()):
+            images_data = [_read_image(slot[k]) for k in sorted(slot)]
+            # 文案配对：选中文案数≥套数则一套一条；否则各套共用第 1 条
+            # (图均以第 1 条文案为语境生成，共用合理；多选则尊重运营按套选的文案)
+            tc = selected_texts[idx] if idx < len(selected_texts) else selected_texts[0]
+            text_data = json.loads(tc.content or "{}")
+            notes.append({
+                "title": text_data.get("title", ""),
+                "content": text_data.get("content", ""),
+                "tags": text_data.get("tags", []),
+                "images": images_data,
+                "banned_word_status": (tc.banned_word_status.value
+                                       if hasattr(tc.banned_word_status, "value")
+                                       else str(tc.banned_word_status)),
+            })
+        if not notes:
+            raise ValueError("无图片候选，无法打包")
 
         from app.services.ai_engine.package_exporter import build_delivery_package as do_build
         # 打包产物放专用目录 uploads/packages/，与图片目录 uploads/{ws}/{task}/ 分开