配置全面迁移数据库：PromptConfig、TaskConfig动态调度、敏感词/清洗规则/趋势映射/平台标签/痛点模板全部可编辑

- 新增 PromptConfig 模型 + API，支持提示词在线编辑（16条默认）
- 调度器动态读取 TaskConfig.schedule，admin 可调执行时间
- 新增 KeywordDomainMap、SensitiveWord、ContentCleanRule、TrendFieldMapping 表
- DOMAINS、TREND_DOMAIN_MAP、PLATFORM_TAGS、china_pains、RSS关键词、priority_weights 全部迁移到 DB
- tasks.html 重构：卡片网格+配置/产出/历史/提示词四个Tab，折叠显示
- 清理冗余代码：DEFAULT_PROMPTS死代码、collector.py unreachable代码、compliance_checker bug
- strip_thinking_html 改用 DB 规则优先

scripts/compliance_optimizer.py

@@ -20,6 +20,8 @@ except ImportError:
     HAVE_LLM = False
 
 from db_helper import get_topic_by_id, update_topic_status, get_active_llm_config, get_articles_by_topic, save_article
+from content_cleaner import strip_thinking, strip_ai_preface, strip_thinking_html, clean_html_content
+from prompt_loader import get_prompt, get_prompt_params
 
 DATA_DIR = PROJECT_ROOT / "automation" / "data"
 DRAFTS_DIR = DATA_DIR / "drafts"
@@ -30,11 +32,42 @@ logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(
                     handlers=[logging.FileHandler(LOGS_DIR / f"optimizer_{TODAY}.log"), logging.StreamHandler()])
 logger = logging.getLogger(__name__)
 
-PLATFORM_TAGS = {
+DEFAULT_PLATFORM_TAGS = {
     "zhihu": ["科技", "职场"],
     "xiaohongshu": ["AI", "可持续", "生活方式"]
 }
 
+_cached_platform_tags = None
+
+def _load_platform_tags():
+    global _cached_platform_tags
+    if _cached_platform_tags is not None:
+        return _cached_platform_tags
+    try:
+        from app.database import SessionLocal
+        from app.models import PlatformConfig
+        db = SessionLocal()
+        try:
+            configs = db.query(PlatformConfig).filter(PlatformConfig.is_active == True).all()
+            if configs:
+                _cached_platform_tags = {}
+                for c in configs:
+                    tags = c.to_dict().get("allowed_tags", [])
+                    if tags:
+                        _cached_platform_tags[c.platform] = tags
+                if _cached_platform_tags:
+                    logger.info(f"从DB加载 {len(_cached_platform_tags)} 个平台的标签")
+                    return _cached_platform_tags
+        finally:
+            db.close()
+    except Exception as e:
+        logger.warning(f"从DB加载 platform_tags 失败: {e}")
+    _cached_platform_tags = DEFAULT_PLATFORM_TAGS
+    return _cached_platform_tags
+
+def get_platform_tags():
+    return _load_platform_tags()
+
 _llm_config_cache = None
 
 def get_llm_config():
@@ -110,13 +143,14 @@ def fix_wechat_title(html: str, title: str) -> str:
     return html
 
 def fix_tags(html: str, platform: str) -> str:
+    tags_map = get_platform_tags()
     if platform == "zhihu":
-        tags_str = " ".join(f"#{t}" for t in PLATFORM_TAGS["zhihu"])
+        tags_str = " ".join(f"#{t}" for t in tags_map.get("zhihu", []))
         if '<div class="tags">' in html:
             old = html.split('<div class="tags">')[1].split('</div>')[0]
             html = html.replace(f'<div class="tags">{old}</div>', f'<div class="tags">{tags_str}</div>')
     elif platform == "xiaohongshu":
-        tags_str = " ".join(f"#{t}" for t in PLATFORM_TAGS["xiaohongshu"])
+        tags_str = " ".join(f"#{t}" for t in tags_map.get("xiaohongshu", []))
         if '<div class="hashtags">' in html:
             old = html.split('<div class="hashtags">')[1].split('</div>')[0]
             html = html.replace(f'<div class="hashtags">{old}</div>', f'<div class="hashtags">{tags_str}</div>')
@@ -140,32 +174,13 @@ def polish_with_llm(html: str, platform: str, remaining_issues: Optional[List[Di
                 f"- [{i['type']}] {i.get('category','')}: {i.get('detail','')} (建议: {i.get('suggestion','')})"
                 for i in remaining_issues
             )
-            polish_prompt = f"""你是一个专业的内容合规优化助手。以下文章存在合规问题，请逐一修复并输出完整HTML。
-
-需修复的问题：
-{issues_desc}
-
-原文：
-{html}
-
-要求：
-- 只修复上述问题，不改变文章结构和核心内容
-- 保持<h2>, <h3>, <p>等标签结构不变
-- 修复后内容依然保持可读性和自然语感（不要因为合规变成生硬的表达）
-- 替换敏感词时选择意思相近的替代词，不删节重要信息"""
+            prompt = get_prompt("compliance_fix", issues_desc=issues_desc, html=html)
         else:
-            polish_prompt = f"""你是一个专业的内容润色助手。请润色以下文章，提升表达的自然感和可读性。
-
-原文：
-{html}
-
-要求：
-- 保持原文事实、数据、章节结构不变
-- 输出相同的HTML格式（保留<h2>, <h3>, <p>标签）
-- 提升表达的自然感，让它更像是人写的
-- 避免AI常见表达模式（「首先其次最后」「总的来说」「值得注意的是」等）
-- 短句化，读起来更流畅"""
-        polished = call_llm(polish_prompt, model=model, temperature=temperature, max_tokens=max_tokens, system_prompt=system_prompt)
+            prompt = get_prompt("compliance_polish", html=html)
+        polished = call_llm(prompt, model=model, temperature=temperature, max_tokens=max_tokens, system_prompt=system_prompt)
+        polished = clean_html_content(polished)
+        polished = strip_ai_preface(polished)
+        polished = strip_thinking_html(polished)
         if '<h2' in polished or '<p>' in polished:
             if len(polished) > len(html) * 0.3 and len(polished) > 100:
                 if not any(kw in polished[:100] for kw in ['保留', '建议', '可以', '应该', '推荐']):
@@ -178,6 +193,7 @@ def polish_with_llm(html: str, platform: str, remaining_issues: Optional[List[Di
 
 def optimize_article(html: str, platform: str, topic_data: Dict, remaining_issues: Optional[List[Dict]] = None) -> Tuple[str, List[str]]:
     logs = []
+    html = strip_thinking_html(html)
     if platform == "wechat":
         html = fix_wechat_title(html, topic_data.get("title", ""))
         logs.append("标题截断（含后缀）")
@@ -185,7 +201,8 @@ def optimize_article(html: str, platform: str, topic_data: Dict, remaining_issue
         before = html
         html = fix_tags(html, platform)
         if html != before:
-            logs.append(f"标签标准化为{PLATFORM_TAGS[platform]}")
+            tags_map = get_platform_tags()
+            logs.append(f"标签标准化为{tags_map.get(platform, [])}")
     polished, pol_log = polish_with_llm(html, platform, remaining_issues)
     if pol_log:
         html = polished