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/services/flywheel_service.py

@@ -8,10 +8,10 @@ preference_aggregator：查最近50条 → 最常选角度 + 打回原因近3条
 import logging
 from typing import Any
 
-from sqlalchemy import desc, func
+from sqlalchemy import desc
 from sqlalchemy.orm import Session
 
-from app.constants.enums import SIGNAL_WEIGHTS, DataOwnership, SignalType
+from app.constants.enums import SIGNAL_WEIGHTS, DataOwnership
 from app.middleware.workspace_guard import CurrentUser
 from app.models.flywheel import PreferenceEvent
 from app.models.task import GenerationTask
@@ -20,8 +20,6 @@ logger = logging.getLogger(__name__)
 
 # 实时聚合窗口：最近50条事件
 _AGGREGATION_WINDOW = 50
-# 冷启动阈值：不足5条信号用产品档案冷启动
-_COLD_START_THRESHOLD = 5
 
 
 def record_signal(
@@ -32,12 +30,14 @@ def record_signal(
     candidate_id: int | None = None,
     angle_label: str | None = None,
     reason: str | None = None,
+    signal_meta: str | None = None,
 ) -> None:
     """
     写入飞轮信号。
     workspace_id + product_id 都必须有（基石C + 按产品分开学）。
     signal_weight 用枚举默认值，北哥可校准。
     data_ownership 默认 client_data（选择行为归客户）。
+    signal_meta：JSON 扩展（如选图存 strategy），不参与角度聚合主逻辑。
     """
     weight = SIGNAL_WEIGHTS.get(signal_type, 0)
     event = PreferenceEvent(
@@ -50,6 +50,7 @@ def record_signal(
         candidate_id=candidate_id,
         angle_label=angle_label,
         reason=reason,
+        signal_meta=signal_meta,
         data_ownership=DataOwnership.CLIENT_DATA,
     )
     try:
@@ -69,14 +70,17 @@ def record_signal(
 
 
 def get_preference_context(
-    db: Session, workspace_id: int, product_id: int
+    db: Session, workspace_id: int, product_id: int,
+    product_dict: dict[str, Any] | None = None,
 ) -> dict[str, Any]:
     """
-    实时聚合偏好上下文（最近50条 events）。
-    返回：recent_preference摘要 + reject_reasons近3条 + injected_count。
-    不足5条 → 冷启动提示（产品档案兜底，由 AIE prompt 层读 products.custom_prompt）。
+    实时聚合偏好上下文（最近50条 events）供前端展示。
+    R7断点3：统一口径——委托给生产链同一个 aggregate_preference_context（权重口径），
+    消除"前端展示按次数/生成按权重"的口径分裂（说一套做一套）。
     按 workspace_id + product_id 严格过滤（不串数据，基石C）。
     """
+    from app.services.ai_engine.preference_aggregator import aggregate_preference_context
+
     recent = (
         db.query(PreferenceEvent)
         .filter(
@@ -87,35 +91,18 @@ def get_preference_context(
         .limit(_AGGREGATION_WINDOW)
         .all()
     )
-
-    if len(recent) < _COLD_START_THRESHOLD:
-        return {
-            "recent_preference": "信号不足，使用产品档案基线（冷启动）",
-            "reject_reasons": [],
-            "injected_count": len(recent),
-        }
-
-    # 统计最常被选中的角度（text_edit 改稿=最强真实信号,按权重计入,倩倩姐2026-06-16）
-    angle_counts: dict[str, int] = {}
-    for ev in recent:
-        if ev.signal_type in (SignalType.TEXT_SELECT, SignalType.APPROVE, SignalType.TEXT_EDIT) and ev.angle_label:
-            angle_counts[ev.angle_label] = angle_counts.get(ev.angle_label, 0) + 1
-
-    top_angles = sorted(angle_counts.items(), key=lambda x: x[1], reverse=True)[:3]
-    if top_angles:
-        pref_desc = "；".join(f"{a}（已选{c}次）" for a, c in top_angles)
-        preference_summary = f"最近偏好：{pref_desc}"
-    else:
-        preference_summary = "暂无明显角度偏好"
-
-    # 取最近3条打回原因原文（不做 AI 归纳，契约§3）
-    reject_reasons = [
-        ev.reason for ev in recent
-        if ev.signal_type == SignalType.REJECT_WITH_REASON and ev.reason
-    ][:3]
-
+    events_dicts = [
+        {"signal_type": e.signal_type, "workspace_id": e.workspace_id,
+         "product_id": e.product_id, "angle_label": e.angle_label or "",
+         "signal_weight": e.signal_weight, "reason": e.reason or ""}
+        for e in recent
+    ]
+    ctx = aggregate_preference_context(
+        events_dicts, product_dict or {}, workspace_id, product_id
+    )
+    # 前端展示不需要 prompt_fragment（注入用），剥掉只回摘要+原因+计数
     return {
-        "recent_preference": preference_summary,
-        "reject_reasons": reject_reasons,
-        "injected_count": len(recent),
+        "recent_preference": ctx.get("recent_preference", ""),
+        "reject_reasons": ctx.get("reject_reasons", []),
+        "injected_count": ctx.get("injected_count", 0),
     }