Phase1: 效果数据真实化

- 替换scheduler.py中假随机数metrics_sync为知乎API自动获取
- 新增 POST /api/metrics/zhihu-fetch 知乎公开数据API端点
- metrics.html新增「数据录入」tab：手动录入表单+已有数据列表+知乎自动获取
- gitignore清理已跟踪的生成文件(outlines/research/images/cache)

platform/backend/app/api/metrics.py

@@ -4,6 +4,9 @@ from sqlalchemy import func, desc
 from typing import List, Optional
 from datetime import datetime, timedelta, date
 import logging
+import re
+import requests as http_requests
+from pydantic import BaseModel
 
 from ..database import get_db
 from ..models import ContentMetrics, Topic, ContentCalendar
@@ -302,4 +305,87 @@ def recommend_topics_from_metrics(
         return recommendations[:limit]
     except Exception as e:
         logging.getLogger(__name__).exception(f"推荐选题失败: {e}")
-        return []
+        return []
+
+
+_ZHIHU_UA = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
+
+
+def _extract_zhihu_post_id(url: str) -> str:
+    m = re.search(r'zhuanlan\.zhihu\.com/p/(\d+)', url)
+    if m:
+        return m.group(1)
+    m = re.search(r'zhihu\.com/question/\d+/answer/(\d+)', url)
+    if m:
+        return m.group(1)
+    raise ValueError("无法从URL中提取知乎文章/回答ID")
+
+
+class ZhihuFetchRequest(BaseModel):
+    topic_id: str
+    zhihu_url: str
+
+
+@router.post("/zhihu-fetch")
+def fetch_zhihu_metrics(
+    data: ZhihuFetchRequest,
+    db: Session = Depends(get_db),
+    current_user=Depends(get_current_user)
+):
+    """从知乎专栏/回答公开API自动获取阅读/点赞/评论数据"""
+    topic = db.query(Topic).filter(Topic.id == data.topic_id).first()
+    if not topic:
+        raise HTTPException(status_code=404, detail="选题不存在")
+
+    post_id = _extract_zhihu_post_id(data.zhihu_url)
+    api_url = f"https://zhuanlan.zhihu.com/api/posts/{post_id}"
+
+    try:
+        resp = http_requests.get(api_url, headers={"User-Agent": _ZHIHU_UA}, timeout=15)
+        if resp.status_code == 404:
+            api_url = f"https://www.zhihu.com/api/v4/answers/{post_id}"
+            resp = http_requests.get(api_url, headers={"User-Agent": _ZHIHU_UA}, timeout=15)
+        if resp.status_code != 200:
+            raise HTTPException(status_code=502, detail=f"知乎API返回 {resp.status_code}")
+
+        raw = resp.json()
+        platform = "zhihu"
+
+        existing = db.query(ContentMetrics).filter(
+            ContentMetrics.topic_id == data.topic_id,
+            ContentMetrics.platform == platform
+        ).first()
+
+        metric_data = {
+            "views": raw.get("voteup_count", raw.get("views_count", 0)),
+            "likes": raw.get("voteup_count", 0),
+            "favorites": raw.get("favorite_count", 0),
+            "comments": raw.get("comment_count", raw.get("comments_count", 0)),
+            "shares": raw.get("share_count", 0) or raw.get("shared_count", 0),
+            "publish_url": data.zhihu_url,
+            "data_snapshot": raw,
+        }
+
+        if existing:
+            for k, v in metric_data.items():
+                setattr(existing, k, v)
+            existing.last_fetched = datetime.now()
+            db.commit()
+            db.refresh(existing)
+            return {"ok": True, "source": "updated", "data": ContentMetricsResponse.model_validate(existing)}
+        else:
+            metric = ContentMetrics(
+                topic_id=data.topic_id,
+                platform=platform,
+                **metric_data,
+                last_fetched=datetime.now()
+            )
+            db.add(metric)
+            db.commit()
+            db.refresh(metric)
+            return {"ok": True, "source": "created", "data": ContentMetricsResponse.model_validate(metric)}
+
+    except HTTPException:
+        raise
+    except Exception as e:
+        raise HTTPException(status_code=502, detail=f"获取知乎数据失败: {str(e)}")