feat: overhaul UI styling, improve templates, enhance services and tests

app/services/trends.py

@@ -13,33 +13,33 @@ def get_trends_data(db: Session) -> dict:
     thirty_days_ago = (date.today() - timedelta(days=30)).isoformat()
 
     # 1. 按日论文数量（近 30 天）
-    daily_rows = db.execute(text("""
+    daily_rows = db.execute(
+        text("""
         SELECT paper_date, COUNT(*) as cnt
         FROM papers
         WHERE paper_date >= :start_date
         GROUP BY paper_date
         ORDER BY paper_date ASC
-    """), {"start_date": thirty_days_ago}).fetchall()
-    daily_counts = [
-        {"date": str(row[0]), "count": row[1]}
-        for row in daily_rows
-    ]
+    """),
+        {"start_date": thirty_days_ago},
+    ).fetchall()
+    daily_counts = [{"date": str(row[0]), "count": row[1]} for row in daily_rows]
 
     # 2. 热门标签 Top 20
-    tag_rows = db.execute(text("""
+    tag_rows = db.execute(
+        text("""
         SELECT tag, COUNT(*) as cnt
         FROM paper_tags
         GROUP BY tag
         ORDER BY cnt DESC
         LIMIT 20
-    """)).fetchall()
-    top_tags = [
-        {"tag": row[0], "count": row[1]}
-        for row in tag_rows
-    ]
+    """)
+    ).fetchall()
+    top_tags = [{"tag": row[0], "count": row[1]} for row in tag_rows]
 
     # 3. Upvotes 分布
-    upvote_rows = db.execute(text("""
+    upvote_rows = db.execute(
+        text("""
         SELECT
             CASE
                 WHEN upvotes >= 100 THEN '100+'
@@ -53,25 +53,22 @@ def get_trends_data(db: Session) -> dict:
         FROM papers
         GROUP BY bucket
         ORDER BY MIN(upvotes) DESC
-    """)).fetchall()
-    upvotes_dist = [
-        {"range": row[0], "count": row[1]}
-        for row in upvote_rows
-    ]
+    """)
+    ).fetchall()
+    upvotes_dist = [{"range": row[0], "count": row[1]} for row in upvote_rows]
 
     # 4. 总结完成率
-    summary_rows = db.execute(text("""
+    summary_rows = db.execute(
+        text("""
         SELECT
             COALESCE(ss.status, 'none') as status,
             COUNT(*) as cnt
         FROM papers p
         LEFT JOIN summary_status ss ON ss.paper_id = p.id
         GROUP BY status
-    """)).fetchall()
-    summary_completion = [
-        {"status": row[0], "count": row[1]}
-        for row in summary_rows
-    ]
+    """)
+    ).fetchall()
+    summary_completion = [{"status": row[0], "count": row[1]} for row in summary_rows]
 
     return {
         "daily_counts": daily_counts,