fix: 三平台内容差异化 + admin敏感词管理表格化

- writer.py: _expand_section() 去除 <100字阈值，始终调用 LLM 平台专属扩写
- prompt_loader.py: 新增 section_expansion_zhihu/wechat/xiaohongshu 三个独立 prompt
- admin.html: 配置管理标签页 + 敏感词/清理规则子标签 + 敏感词表格化管理(编辑/删除)
- config_items.py: PUT /sensitive-words/{id} 支持更新 word/category
- compliance_checker.py: AI 套话从 DB 加载 + 人称规则修正
- initial_data.py: PlatformConfig 字数迁移 + 新种子
- 各前端页面: LLM 配置 rate_limit 字段 + 供应商列表排序

scripts/compliance_checker.py

@@ -55,10 +55,29 @@ AI_TELTALES = [
     "众所周知",
     "毋庸置疑",
     "不知大家有没有发现",
+    "不可否认",
+    "毫无疑义",
+    "从某种意义上",
+    "从某种程度上",
+    "在一定程度上",
+    "换而言之",
+    "换言之",
+    "从本质",
+    "归根结底",
+    "说到底",
+    "这为我们提供了",
+    "为我们提供了宝贵的",
+    "引发了我们",
+    "不得不让人思考",
+    "引人深思",
+    "毫无悬念",
+    "毫无意外",
+    "毫无争议",
 ]
 
 _cached_sensitive_words = None
 _cached_platform_rules = None
+_cached_ai_telltales = None
 
 def _load_sensitive_words():
     global _cached_sensitive_words
@@ -121,6 +140,34 @@ def _load_platform_rules():
     _cached_platform_rules = PLATFORM_RULES
     return _cached_platform_rules
 
+
+def _load_ai_telltales():
+    """从 DB ContentCleanRule 加载 AI 套话模式（rule_type='ai_telltale'），无 DB 时回退硬编码列表"""
+    global _cached_ai_telltales
+    if _cached_ai_telltales is not None:
+        return _cached_ai_telltales
+
+    try:
+        from app.core.prompt_loader import _get_session
+        from app.models import ContentCleanRule
+        session = _get_session()
+        try:
+            rows = session.query(ContentCleanRule).filter(
+                ContentCleanRule.rule_type == 'ai_telltale',
+                ContentCleanRule.is_active == True
+            ).order_by(ContentCleanRule.sort_order).all()
+            if rows:
+                _cached_ai_telltales = [r.pattern for r in rows]
+                return _cached_ai_telltales
+        finally:
+            session.close()
+    except Exception:
+        pass
+
+    _cached_ai_telltales = list(AI_TELTALES)
+    return _cached_ai_telltales
+
+
 class ComplianceChecker:
     """合规审查器"""
 
@@ -349,7 +396,8 @@ class ComplianceChecker:
     def _check_ai_telltales(self, text: str):
         """检查AI套话——正文中出现这些模式说明AI写作痕迹明显"""
         plain = re.sub(r'<[^>]+>', '', text)
-        for pattern in AI_TELTALES:
+        patterns = _load_ai_telltales()
+        for pattern in patterns:
             if re.search(pattern, plain):
                 self.issues.append({
                     "type": "内容质量",
@@ -359,26 +407,16 @@ class ComplianceChecker:
                 })
 
     def _check_pronoun_consistency(self, text: str, platform: str):
-        """检查人称一致性（尤其是微信文章）"""
-        if platform != "wechat":
-            return
+        """检查人称一致性"""
         plain = re.sub(r'<[^>]+>', '', text)
         has_ni = '你' in plain
         has_nimen = '你们' in plain
-        has_women = '我们' in plain
         if has_nimen and has_ni:
             self.issues.append({
                 "type": "内容质量",
                 "category": "人称混用",
-                "detail": "微信文章中同时使用「你」和「你们」，建议统一为「你」",
-                "suggestion": "将所有「你们」替换为「你」，保持与读者的单数对话感"
-            })
-        if has_women and has_ni:
-            self.issues.append({
-                "type": "内容质量",
-                "category": "人称混用",
-                "detail": "微信文章中同时使用「我们」和「你」，建议统一视角",
-                "suggestion": "将「我们」替换为「你」或「我」，保持与读者对话而非说教"
+                "detail": "同时使用「你」和「你们」，建议统一为「你」",
+                "suggestion": "将「你们」替换为「你」，保持对话感"
             })
 
     def _check_reading_experience(self, text: str, platform: str = ""):