feat: 审核体系全面改造 — 多维度评分 + 卖点优先级 + AI 语义匹配 + 品牌方 AI 状态通知

后端:
- 审核结果拆分为 4 个独立维度 (法规合规/平台规则/品牌安全/Brief匹配度)
- 卖点优先级从 required:bool 改为三级 (core/recommended/reference)
- AI 语义匹配卖点覆盖 + AI 整体 Brief 匹配度分析
- BriefMatchDetail 评分详情 (覆盖率+亮点+问题点)
- min_selling_points 代理商可配置最少卖点数 + Alembic 迁移
- AI 语境复核过滤误报
- Brief AI 解析 + 规则 AI 解析
- AI 未配置/异常时通知品牌方
- 种子数据更新 (新格式审核结果+brief_match_detail)

前端:
- 三端审核页面展示四维度评分卡片
- 卖点编辑改为三级优先级选择器
- BriefMatchDetail 展示 (覆盖率进度条+亮点+问题)
- min_selling_points 配置 UI
- AI 配置页未配置时静默处理
- 文件预览/下载/签名 URL 优化

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

backend/app/schemas/brief.py

@@ -1,5 +1,10 @@
 """
 Brief 相关 Schema
+
+卖点格式 (selling_points: List[dict]):
+  新格式: {"content": "卖点内容", "priority": "core|recommended|reference"}
+  旧格式: {"content": "卖点内容", "required": true|false}
+  兼容规则: required=true → priority="core", required=false → priority="recommended"
 """
 from typing import Optional, List
 from datetime import datetime
@@ -39,8 +44,13 @@ class BriefUpdateRequest(BaseModel):
 
 
 class AgencyBriefUpdateRequest(BaseModel):
-    """代理商更新 Brief 请求（仅允许更新 agency_attachments）"""
+    """代理商更新 Brief 请求（允许更新代理商附件 + 卖点 + 违禁词 + AI解析内容）"""
     agency_attachments: Optional[List[dict]] = None
+    selling_points: Optional[List[dict]] = None
+    min_selling_points: Optional[int] = None
+    blacklist_words: Optional[List[dict]] = None
+    brand_tone: Optional[str] = None
+    other_requirements: Optional[str] = None
 
 
 # ===== 响应 =====
@@ -53,6 +63,7 @@ class BriefResponse(BaseModel):
     file_url: Optional[str] = None
     file_name: Optional[str] = None
     selling_points: Optional[List[dict]] = None
+    min_selling_points: Optional[int] = None
     blacklist_words: Optional[List[dict]] = None
     competitors: Optional[List[str]] = None
     brand_tone: Optional[str] = None

backend/app/schemas/review.py

@@ -91,6 +91,7 @@ class Violation(BaseModel):
     content: str = Field(..., description="违规内容")
     severity: RiskLevel = Field(..., description="严重程度")
     suggestion: str = Field(..., description="修改建议")
+    dimension: Optional[str] = Field(None, description="所属维度: legal/platform/brand_safety/brief_match")
 
     # 文本审核字段
     position: Optional[Position] = Field(None, description="文本位置（脚本审核）")
@@ -101,6 +102,45 @@ class Violation(BaseModel):
     source: Optional[ViolationSource] = Field(None, description="违规来源（视频审核）")
 
 
+# ==================== 多维度审核 ====================
+
+class ReviewDimension(BaseModel):
+    """审核维度评分"""
+    score: int = Field(..., ge=0, le=100)
+    passed: bool
+    issue_count: int = 0
+
+
+class ReviewDimensions(BaseModel):
+    """四维度审核结果"""
+    legal: ReviewDimension         # 法规合规（违禁词、功效词、Brief黑名单词）
+    platform: ReviewDimension      # 平台规则
+    brand_safety: ReviewDimension  # 品牌安全（竞品、其他品牌词）
+    brief_match: ReviewDimension   # Brief 匹配度（卖点覆盖）
+
+
+class SellingPointMatch(BaseModel):
+    """卖点匹配结果"""
+    content: str
+    priority: str  # "core" | "recommended" | "reference"
+    matched: bool
+    evidence: Optional[str] = None  # AI 给出的匹配依据
+
+
+class BriefMatchDetail(BaseModel):
+    """Brief 匹配度评分详情"""
+    # 卖点覆盖
+    total_points: int = Field(0, description="需要检查的卖点总数（core + recommended）")
+    matched_points: int = Field(0, description="实际匹配的卖点数")
+    required_points: int = Field(0, description="代理商要求至少体现的卖点条数（min_selling_points）")
+    coverage_score: int = Field(0, ge=0, le=100, description="卖点覆盖率得分")
+    # AI 整体匹配分析
+    overall_score: int = Field(0, ge=0, le=100, description="整体 Brief 匹配度得分")
+    highlights: list[str] = Field(default_factory=list, description="内容亮点（AI 分析）")
+    issues: list[str] = Field(default_factory=list, description="问题点（AI 分析）")
+    explanation: str = Field("", description="评分说明（一句话总结）")
+
+
 # ==================== 脚本预审 ====================
 
 class ScriptReviewRequest(BaseModel):
@@ -108,9 +148,12 @@ class ScriptReviewRequest(BaseModel):
     content: str = Field(..., min_length=1, description="脚本内容")
     platform: Platform = Field(..., description="投放平台")
     brand_id: str = Field(..., description="品牌 ID")
-    required_points: Optional[list[str]] = Field(None, description="必要卖点列表")
+    selling_points: Optional[list[dict]] = Field(None, description="卖点列表 [{content, priority}]")
+    min_selling_points: Optional[int] = Field(None, ge=0, description="代理商要求至少体现的卖点条数")
     blacklist_words: Optional[list[dict]] = Field(None, description="Brief 黑名单词 [{word, reason}]")
     soft_risk_context: Optional[SoftRiskContext] = Field(None, description="软性风控上下文")
+    file_url: Optional[str] = Field(None, description="脚本文件 URL（用于自动解析文本和提取图片）")
+    file_name: Optional[str] = Field(None, description="原始文件名（用于判断格式）")
 
 
 class ScriptReviewResponse(BaseModel):
@@ -118,16 +161,22 @@ class ScriptReviewResponse(BaseModel):
     脚本预审响应
 
     结构：
-    - score: 合规分数 0-100
+    - score: 加权总分（向后兼容）
     - summary: 整体摘要
-    - violations: 违规项列表，每项包含 suggestion
-    - missing_points: 遗漏的卖点（可选）
+    - dimensions: 四维度评分（法规/平台/品牌安全/Brief匹配）
+    - selling_point_matches: 卖点匹配详情
+    - violations: 违规项列表，每项带 dimension 标签
+    - missing_points: 遗漏的核心卖点（向后兼容）
     """
-    score: int = Field(..., ge=0, le=100, description="合规分数")
+    score: int = Field(..., ge=0, le=100, description="加权总分")
     summary: str = Field(..., description="审核摘要")
+    dimensions: ReviewDimensions = Field(..., description="四维度评分")
+    selling_point_matches: list[SellingPointMatch] = Field(default_factory=list, description="卖点匹配详情")
+    brief_match_detail: Optional[BriefMatchDetail] = Field(None, description="Brief 匹配度评分详情")
     violations: list[Violation] = Field(default_factory=list, description="违规项列表")
-    missing_points: Optional[list[str]] = Field(None, description="遗漏的卖点")
+    missing_points: Optional[list[str]] = Field(None, description="遗漏的核心卖点")
     soft_warnings: list[SoftRiskWarning] = Field(default_factory=list, description="软性风控提示")
+    ai_available: bool = Field(True, description="AI 服务是否可用（False 表示降级为纯关键词检测）")
 
 
 # ==================== 视频审核 ====================