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/api/v1/exports.py

@@ -0,0 +1,100 @@
+"""
+app/api/v1/exports.py — 客户原始输入物导出（数据归属红线）
+产品/标杆属客户 client_data，可导出（JSON/CSV）；飞轮偏好属平台不在此列。
+require_write_permission：仅 workspace 成员可导出本工作区数据。
+"""
+
+import csv
+import io
+import json
+import logging
+from typing import Annotated
+
+from fastapi import APIRouter, Depends, Query
+from fastapi.responses import StreamingResponse
+from sqlalchemy.orm import Session
+
+from app.core.database import get_db
+from app.middleware.workspace_guard import CurrentUser, require_write_permission
+from app.models.product import BenchmarkNote, Product
+
+logger = logging.getLogger(__name__)
+router = APIRouter(tags=["exports"])
+
+
+def _csv_response(rows: list[dict], fieldnames: list[str], filename: str) -> StreamingResponse:
+    """通用 CSV 流式响应。加 UTF-8 BOM 防 Windows Excel 中文乱码。"""
+    buf = io.StringIO()
+    buf.write("")  # BOM
+    writer = csv.DictWriter(buf, fieldnames=fieldnames, extrasaction="ignore")
+    writer.writeheader()
+    for r in rows:
+        writer.writerow(r)
+    buf.seek(0)
+    return StreamingResponse(
+        iter([buf.getvalue()]),
+        media_type="text/csv; charset=utf-8",
+        headers={"Content-Disposition": f'attachment; filename="{filename}"'},
+    )
+
+
+@router.get("/products/export")
+def export_products(
+    current_user: Annotated[CurrentUser, Depends(require_write_permission)] = None,
+    db: Session = Depends(get_db),
+):
+    """产品档案导出（JSON）。selling_points 还原为数组，非 JSON 字符串。"""
+    rows = (
+        db.query(Product)
+        .filter(Product.workspace_id == current_user.workspace_id, Product.is_active == True)
+        .order_by(Product.id)
+        .all()
+    )
+    data = [
+        {
+            "id": p.id,
+            "name": p.name,
+            "category": p.category,
+            "selling_points": json.loads(p.selling_points) if p.selling_points else [],
+            "brand_keyword": p.brand_keyword,
+            "target_audience": p.target_audience,
+            "style_tone": p.style_tone,
+            "created_at": p.created_at.isoformat(),
+        }
+        for p in rows
+    ]
+    # 直接返数组(非包 ok 信封)：导出供下载/二次处理，前端按 blob 存盘。
+    return data
+
+
+@router.get("/benchmarks/export")
+def export_benchmarks(
+    format: str = Query(default="json", pattern="^(json|csv)$"),
+    current_user: Annotated[CurrentUser, Depends(require_write_permission)] = None,
+    db: Session = Depends(get_db),
+):
+    """标杆笔记导出（JSON/CSV）。JOIN Product 填 product_name 便于客户阅读。"""
+    rows = (
+        db.query(BenchmarkNote, Product.name)
+        .outerjoin(Product, BenchmarkNote.product_id == Product.id)
+        .filter(BenchmarkNote.workspace_id == current_user.workspace_id)
+        .order_by(BenchmarkNote.id)
+        .all()
+    )
+    data = [
+        {
+            "id": b.id,
+            "product_id": b.product_id,
+            "product_name": pname,
+            "highlights": b.highlights or "",
+            "link_url": b.link_url or "",
+            "analyze_status": b.analyze_status,
+            "created_at": b.created_at.isoformat(),
+        }
+        for b, pname in rows
+    ]
+    if format == "csv":
+        fields = ["id", "product_id", "product_name", "highlights",
+                  "link_url", "analyze_status", "created_at"]
+        return _csv_response(data, fields, "benchmarks.csv")
+    return data