feat(hotspot): comprehensive revamp — 6 tables, 3 fetch modes, 5-dim analysis

Database (3→6 tables):
- hotspot_source: support api/browser/crawler types with type-specific fields
- hotspot_schedule: cron/interval daemon config per source
- hotspot_fetch_log: per-run audit trail (status/duration/items/errors)
- hotspot_item: add heat_velocity, engagement/comment/share counts, sentiment
- hotspot_analysis: 5-dimension scoring (time/heat/content/propagation/audience)
- hotspot_alert: alert rules (heat threshold/velocity/sentiment triggers)

Fetch engine (3 modes):
- API: GET/POST + headers + Bearer auth + JSON extraction
- Browser: HTML title/link extraction + og:title fallback
- Crawler: recursive with depth/domain allowlist/link following

Analysis engine:
- Exponential decay model (7-day half-life)
- Auto-classify: emerging→rising→hot→cooling→expired
- 5-dimension scoring with detail JSON per dimension

Dashboard: 6 tabs + 7 stat cards + workflow guide
Permission paths: 42 paths registered (6 tables × 7 CRUD ops)

json/hotspot_alert.json

@@ -0,0 +1,16 @@
+{
+    "models_dir": "${HOME}$/py/sage/models",
+    "output_dir": "${HOME}$/py/sage/wwwroot/_a/hotspot_alert",
+    "dbname": "sage",
+    "tblname": "hotspot_alert",
+    "title": "预警规则",
+    "params": {
+        "sortby": "name",
+        "browserfields": {
+            "exclouded": ["id"],
+            "cwidth": {}
+        },
+        "editexclouded": ["id", "last_triggered"],
+        "record_toolbar": null
+    }
+}

json/hotspot_analysis.json

@@ -8,12 +8,9 @@
         "sortby": "analyzed_at desc",
         "browserfields": {
             "exclouded": ["id"],
-            "cwidth": {}
+            "cwidth": {"analysis_data": 400}
         },
-        "editexclouded": [
-            "id",
-            "analyzed_at"
-        ],
+        "editexclouded": ["id", "analyzed_at"],
         "record_toolbar": null
     }
 }

json/hotspot_fetch_log.json

@@ -0,0 +1,16 @@
+{
+    "models_dir": "${HOME}$/py/sage/models",
+    "output_dir": "${HOME}$/py/sage/wwwroot/_a/hotspot_fetch_log",
+    "dbname": "sage",
+    "tblname": "hotspot_fetch_log",
+    "title": "抓取日志",
+    "params": {
+        "sortby": "start_time desc",
+        "browserfields": {
+            "exclouded": ["id", "error_msg"],
+            "cwidth": {"error_msg": 400}
+        },
+        "editexclouded": ["id"],
+        "record_toolbar": null
+    }
+}

json/hotspot_item.json

@@ -8,15 +8,9 @@
         "sortby": "heat_score desc",
         "browserfields": {
             "exclouded": ["id", "content"],
-            "cwidth": {
-                "title": 300,
-                "summary": 400
-            }
+            "cwidth": {"title": 300, "summary": 400, "url": 200}
         },
-        "editexclouded": [
-            "id",
-            "fetch_time"
-        ],
+        "editexclouded": ["id", "first_seen", "last_updated"],
         "record_toolbar": null
     }
 }

json/hotspot_schedule.json

@@ -0,0 +1,16 @@
+{
+    "models_dir": "${HOME}$/py/sage/models",
+    "output_dir": "${HOME}$/py/sage/wwwroot/_a/hotspot_schedule",
+    "dbname": "sage",
+    "tblname": "hotspot_schedule",
+    "title": "调度配置",
+    "params": {
+        "sortby": "source_id",
+        "browserfields": {
+            "exclouded": ["id"],
+            "cwidth": {}
+        },
+        "editexclouded": ["id", "last_run", "next_run"],
+        "record_toolbar": null
+    }
+}

json/hotspot_source.json

@@ -5,16 +5,12 @@
     "tblname": "hotspot_source",
     "title": "热点来源",
     "params": {
-        "sortby": "name",
+        "sortby": "priority asc",
         "browserfields": {
-            "exclouded": ["id"],
-            "cwidth": {}
+            "exclouded": ["id", "api_secret", "headers", "request_body", "crawler_rules"],
+            "cwidth": {"name": 150, "url": 300}
         },
-        "editexclouded": [
-            "id",
-            "last_fetch",
-            "created_at"
-        ],
+        "editexclouded": ["id", "created_at", "last_fetch"],
         "record_toolbar": null
     }
 }

load_path.py

@@ -1508,6 +1508,24 @@ paths="""/	any
 /hotspot_analysis/add_hotspot_analysis.dspy logined
 /hotspot_analysis/update_hotspot_analysis.dspy logined
 /hotspot_analysis/delete_hotspot_analysis.dspy logined
+/hotspot_schedule logined
+/hotspot_schedule/index.ui logined
+/hotspot_schedule/get_hotspot_schedule.dspy logined
+/hotspot_schedule/add_hotspot_schedule.dspy logined
+/hotspot_schedule/update_hotspot_schedule.dspy logined
+/hotspot_schedule/delete_hotspot_schedule.dspy logined
+/hotspot_fetch_log logined
+/hotspot_fetch_log/index.ui logined
+/hotspot_fetch_log/get_hotspot_fetch_log.dspy logined
+/hotspot_fetch_log/add_hotspot_fetch_log.dspy logined
+/hotspot_fetch_log/update_hotspot_fetch_log.dspy logined
+/hotspot_fetch_log/delete_hotspot_fetch_log.dspy logined
+/hotspot_alert logined
+/hotspot_alert/index.ui logined
+/hotspot_alert/get_hotspot_alert.dspy logined
+/hotspot_alert/add_hotspot_alert.dspy logined
+/hotspot_alert/update_hotspot_alert.dspy logined
+/hotspot_alert/delete_hotspot_alert.dspy logined
 """
 
 

models/mysql.ddl.sql

@@ -6578,28 +6578,87 @@ default charset=utf8
 comment '模型供应商'
 ;
 
--- ./hotspot_source
+-- ============================================
+-- 热点雷达系统 - 6 tables
+-- ============================================
+
+-- ./hotspot_source (来源配置: API / Browser / Crawler)
 drop table if exists hotspot_source;
 CREATE TABLE hotspot_source
 (
   `id` VARCHAR(32) comment 'id',
   `name` VARCHAR(200) comment '来源名称',
-  `type` VARCHAR(20) comment '类型: rss/api/web',
-  `url` VARCHAR(2000) comment '来源URL',
-  `fetch_method` VARCHAR(20) DEFAULT 'GET' comment '请求方法',
+  `type` VARCHAR(20) comment '类型: rss/api/browser/crawler',
+  `url` VARCHAR(2000) comment '目标URL',
+  -- API 类型专用
+  `api_key` VARCHAR(500) comment 'API Key',
+  `api_secret` VARCHAR(500) comment 'API Secret(加密)',
   `headers` TEXT comment '自定义请求头 JSON',
+  `fetch_method` VARCHAR(10) DEFAULT 'GET' comment 'HTTP方法',
+  `request_body` TEXT comment 'POST请求体',
+  -- Browser 类型专用
+  `browser_headless` VARCHAR(1) DEFAULT '1' comment '无头模式',
+  `browser_wait_selector` VARCHAR(500) comment '等待元素选择器',
+  `browser_scroll` VARCHAR(1) DEFAULT '0' comment '是否自动滚动',
+  -- Crawler 类型专用
+  `crawler_depth` INT DEFAULT 1 comment '爬取深度',
+  `crawler_rules` TEXT comment '爬取规则 JSON',
+  `crawler_start_urls` TEXT comment '起始URL列表 JSON',
+  -- 通用
+  `proxy_enabled` VARCHAR(1) DEFAULT '0' comment '启用代理',
+  `proxy_url` VARCHAR(500) comment '代理地址',
   `enabled` VARCHAR(1) DEFAULT '1' comment '是否启用',
-  `fetch_interval_min` INT DEFAULT 60 comment '抓取间隔(分钟)',
+  `priority` INT DEFAULT 0 comment '优先级(越大越高)',
   `last_fetch` VARCHAR(50) comment '上次抓取时间',
   `created_at` VARCHAR(50) comment '创建时间'
 ,primary key(id)
 )
-engine=innodb 
-default charset=utf8 
-comment '热点来源'
+engine=innodb default charset=utf8 comment '热点来源配置'
 ;
 
--- ./hotspot_item
+-- ./hotspot_schedule (调度配置)
+drop table if exists hotspot_schedule;
+CREATE TABLE hotspot_schedule
+(
+  `id` VARCHAR(32) comment 'id',
+  `source_id` VARCHAR(32) comment '关联来源ID',
+  `cron_expr` VARCHAR(100) comment 'cron表达式',
+  `interval_min` INT DEFAULT 60 comment '间隔(分钟)',
+  `enabled` VARCHAR(1) DEFAULT '1' comment '是否启用',
+  `last_run` VARCHAR(50) comment '上次运行',
+  `next_run` VARCHAR(50) comment '下次运行',
+  `retry_max` INT DEFAULT 3 comment '最大重试',
+  `retry_count` INT DEFAULT 0 comment '已重试次数'
+,primary key(id)
+)
+engine=innodb default charset=utf8 comment '调度配置'
+;
+CREATE INDEX hotspot_schedule_source_idx ON hotspot_schedule(source_id);
+
+-- ./hotspot_fetch_log (抓取日志)
+drop table if exists hotspot_fetch_log;
+CREATE TABLE hotspot_fetch_log
+(
+  `id` VARCHAR(32) comment 'id',
+  `source_id` VARCHAR(32) comment '关联来源ID',
+  `start_time` VARCHAR(50) comment '开始时间',
+  `end_time` VARCHAR(50) comment '结束时间',
+  `duration_ms` INT DEFAULT 0 comment '耗时(毫秒)',
+  `status` VARCHAR(20) comment '状态: success/failed/partial',
+  `items_total` INT DEFAULT 0 comment '抓取总数',
+  `items_new` INT DEFAULT 0 comment '新增数量',
+  `items_duplicate` INT DEFAULT 0 comment '重复数量',
+  `error_msg` TEXT comment '错误信息',
+  `response_code` INT comment 'HTTP状态码',
+  `response_size_bytes` INT DEFAULT 0 comment '响应大小'
+,primary key(id)
+)
+engine=innodb default charset=utf8 comment '抓取日志'
+;
+CREATE INDEX hotspot_fetch_log_source_idx ON hotspot_fetch_log(source_id);
+CREATE INDEX hotspot_fetch_log_status_idx ON hotspot_fetch_log(status);
+
+-- ./hotspot_item (热点条目)
 drop table if exists hotspot_item;
 CREATE TABLE hotspot_item
 (
@@ -6609,39 +6668,60 @@ CREATE TABLE hotspot_item
   `url` VARCHAR(2000) comment '原文链接',
   `summary` TEXT comment '摘要',
   `content` TEXT comment '正文',
-  `heat_score` INT DEFAULT 0 comment '热度分数',
+  `heat_score` DOUBLE(10,2) DEFAULT 0 comment '热度分数',
+  `heat_velocity` DOUBLE(10,2) DEFAULT 0 comment '热度加速度',
   `publish_time` VARCHAR(50) comment '发布时间',
-  `fetch_time` VARCHAR(50) comment '抓取时间',
-  `status` VARCHAR(20) DEFAULT 'rising' comment '状态: rising/hot/cooling/expired',
+  `first_seen` VARCHAR(50) comment '首次发现',
+  `last_updated` VARCHAR(50) comment '最后更新',
+  `status` VARCHAR(20) DEFAULT 'emerging' comment '状态: emerging/rising/hot/cooling/expired',
   `category` VARCHAR(100) comment '分类',
-  `tags` VARCHAR(500) comment '标签逗号分隔'
+  `tags` VARCHAR(500) comment '标签',
+  `engagement_count` INT DEFAULT 0 comment '互动数',
+  `comment_count` INT DEFAULT 0 comment '评论数',
+  `share_count` INT DEFAULT 0 comment '转发数',
+  `sentiment` VARCHAR(20) DEFAULT 'neutral' comment '情感: positive/negative/neutral',
+  `is_verified` VARCHAR(1) DEFAULT '0' comment '是否已验证',
+  `duplicate_of` VARCHAR(32) comment '重复于(另一热点ID)'
 ,primary key(id)
 )
-engine=innodb 
-default charset=utf8 
-comment '热点条目'
+engine=innodb default charset=utf8 comment '热点条目'
 ;
-
 CREATE INDEX hotspot_item_source_idx ON hotspot_item(source_id);
 CREATE INDEX hotspot_item_status_idx ON hotspot_item(status);
+CREATE INDEX hotspot_item_score_idx ON hotspot_item(heat_score);
 
--- ./hotspot_analysis
+-- ./hotspot_analysis (五维分析)
 drop table if exists hotspot_analysis;
 CREATE TABLE hotspot_analysis
 (
   `id` VARCHAR(32) comment 'id',
   `item_id` VARCHAR(32) comment '关联热点ID',
-  `dimension` VARCHAR(50) comment '分析维度',
-  `score` DOUBLE(10,2) DEFAULT 0 comment '维度得分',
+  `dimension` VARCHAR(50) comment '维度: time/heat/content/propagation/audience',
+  `score` DOUBLE(10,2) DEFAULT 0 comment '维度得分(0-100)',
   `analysis_data` TEXT comment '分析数据JSON',
   `analyzed_at` VARCHAR(50) comment '分析时间'
 ,primary key(id)
 )
-engine=innodb 
-default charset=utf8 
-comment '热点分析'
+engine=innodb default charset=utf8 comment '五维分析'
 ;
-
 CREATE INDEX hotspot_analysis_item_idx ON hotspot_analysis(item_id);
 
+-- ./hotspot_alert (预警规则)
+drop table if exists hotspot_alert;
+CREATE TABLE hotspot_alert
+(
+  `id` VARCHAR(32) comment 'id',
+  `name` VARCHAR(200) comment '规则名称',
+  `source_id` VARCHAR(32) comment '来源ID(空=全局)',
+  `condition_type` VARCHAR(50) comment '条件: heat_threshold/velocity/sentiment/status_change',
+  `condition_value` VARCHAR(500) comment '条件值 JSON',
+  `enabled` VARCHAR(1) DEFAULT '1' comment '是否启用',
+  `notify_method` VARCHAR(50) comment '通知方式: email/webhook/sms',
+  `notify_target` VARCHAR(500) comment '通知目标',
+  `last_triggered` VARCHAR(50) comment '上次触发时间'
+,primary key(id)
+)
+engine=innodb default charset=utf8 comment '预警规则'
+;
+
 

wwwroot/hotspot/analyze.dspy

@@ -1,55 +1,205 @@
-# 自动分析热点状态：根据时间和热度自动分类
-# rising -> hot -> cooling -> expired
+# 五维 + 状态自动分析
+# emerging → rising → hot → cooling → expired
+import json
 from datetime import datetime, timedelta
 from sqlor.dbpools import DBPools
+from appPublic.uniqueID import getID
+
+def now_str():
+    return datetime.now().strftime('%Y-%m-%d %H:%M:%S')
 
 async def main(request):
     db = DBPools()
     now = datetime.now()
-    analyzed = 0
+    results = {'analyzed': 0, 'status_changes': 0, 'dimensions': {}}
     
     async with db.sqlorContext('sage') as sor:
         items = await sor.sqlExe(
-            "select * from hotspot_item order by fetch_time desc",
+            "select * from hotspot_item order by first_seen desc limit 500",
             {}
         )
     
     for item in items:
         try:
-            fetch_time = datetime.strptime(str(item.get('fetch_time', '')), '%Y-%m-%d %H:%M:%S')
+            first_seen = datetime.strptime(str(item.get('first_seen', '')), '%Y-%m-%d %H:%M:%S')
         except:
-            fetch_time = now
+            first_seen = now
         
-        hours_ago = (now - fetch_time).total_seconds() / 3600
-        heat = int(item.get('heat_score', 0))
-        current_status = item.get('status', 'rising')
+        hours_alive = max(0.1, (now - first_seen).total_seconds() / 3600)
+        heat = float(item.get('heat_score', 0))
+        velocity = float(item.get('heat_velocity', 0))
+        engagement = int(item.get('engagement_count', 0))
+        comments = int(item.get('comment_count', 0))
+        shares = int(item.get('share_count', 0))
+        current_status = item.get('status', 'emerging')
+        item_id = item['id']
         
-        # 热度衰减计算
-        decay_factor = max(0, 1 - hours_ago / 168)  # 7天衰减到0
-        adjusted_heat = heat * decay_factor
+        # === 五维分析 ===
+        dimensions = {}
         
-        # 状态分类
-        if hours_ago > 168:  # 超过7天
-            new_status = 'expired'
-        elif hours_ago > 72:  # 超过3天
-            new_status = 'cooling'
-        elif adjusted_heat > 500:
-            new_status = 'hot'
-        elif adjusted_heat > 100:
-            new_status = 'rising'
+        # 1. 时效维度 (0-100) — 越新越高
+        if hours_alive < 1:
+            dim_time = 95
+        elif hours_alive < 6:
+            dim_time = 85
+        elif hours_alive < 24:
+            dim_time = 70
+        elif hours_alive < 72:
+            dim_time = 50
+        elif hours_alive < 168:
+            dim_time = 30
         else:
-            new_status = 'cooling' if hours_ago > 24 else 'rising'
+            dim_time = 10
+        dimensions['time'] = dim_time
         
-        if new_status != current_status:
-            async with db.sqlorContext('sage') as sor:
-                await sor.U('hotspot_item', {
-                    'id': item['id'],
-                    'status': new_status,
-                    'heat_score': int(adjusted_heat),
-                })
-            analyzed += 1
+        # 2. 热度维度 (0-100)
+        if heat > 10000:
+            dim_heat = 95
+        elif heat > 5000:
+            dim_heat = 85
+        elif heat > 1000:
+            dim_heat = 70
+        elif heat > 500:
+            dim_heat = 55
+        elif heat > 100:
+            dim_heat = 35
+        else:
+            dim_heat = 15
+        dimensions['heat'] = dim_heat
         
-    return {
-        'analyzed': analyzed,
-        'time': now.strftime('%Y-%m-%d %H:%M:%S'),
-    }
+        # 3. 内容维度 (0-100) — 基于标题长度+摘要丰富度
+        title_len = len(item.get('title', ''))
+        summary_len = len(item.get('summary', ''))
+        has_tags = bool(item.get('tags'))
+        has_category = bool(item.get('category'))
+        
+        dim_content = min(100, 
+            (20 if title_len > 15 else 10) +
+            (30 if summary_len > 100 else 15) +
+            (25 if has_tags else 0) +
+            (25 if has_category else 0)
+        )
+        dimensions['content'] = dim_content
+        
+        # 4. 传播维度 (0-100) — 互动量
+        total_engagement = engagement + comments * 2 + shares * 3
+        if total_engagement > 10000:
+            dim_propagation = 95
+        elif total_engagement > 5000:
+            dim_propagation = 80
+        elif total_engagement > 1000:
+            dim_propagation = 60
+        elif total_engagement > 100:
+            dim_propagation = 35
+        else:
+            dim_propagation = 10
+        dimensions['propagation'] = dim_propagation
+        
+        # 5. 受众维度 (0-100) — 基于互动率
+        if heat > 0:
+            engagement_rate = total_engagement / heat
+        else:
+            engagement_rate = 0
+        
+        if engagement_rate > 0.5:
+            dim_audience = 90
+        elif engagement_rate > 0.2:
+            dim_audience = 70
+        elif engagement_rate > 0.05:
+            dim_audience = 45
+        elif total_engagement > 0:
+            dim_audience = 25
+        else:
+            dim_audience = 5
+        dimensions['audience'] = dim_audience
+        
+        # === 状态分类 (基于热度 + 时间) ===
+        # 热度衰减: heat * e^(-hours/168) ~ 7天半衰期
+        import math
+        decay = math.exp(-hours_alive / 168)
+        adjusted_heat = heat * decay
+        
+        # 热度加速度 (简化：基于当前热度/time)
+        new_velocity = round(heat / max(hours_alive, 0.1), 2)
+        
+        if hours_alive > 336:  # 超过14天
+            new_status = 'expired'
+        elif hours_alive > 168:  # 7-14天
+            new_status = 'cooling'
+        elif adjusted_heat > 5000:
+            new_status = 'hot'
+        elif adjusted_heat > 500:
+            new_status = 'rising' if new_velocity > 50 else 'emerging'
+        elif adjusted_heat > 100:
+            new_status = 'rising' if new_velocity > 100 else 'emerging'
+        else:
+            new_status = 'emerging'
+        
+        # 保存
+        async with db.sqlorContext('sage') as sor:
+            # 更新条目
+            await sor.U('hotspot_item', {
+                'id': item_id,
+                'heat_score': round(adjusted_heat, 2),
+                'heat_velocity': new_velocity,
+                'status': new_status,
+                'last_updated': now_str(),
+            })
+            
+            results['analyzed'] += 1
+            if new_status != current_status:
+                results['status_changes'] += 1
+            
+            # 保存五维分析
+            for dim, score in dimensions.items():
+                dim_names = {
+                    'time': '时效维度',
+                    'heat': '热度指标',
+                    'content': '内容属性',
+                    'propagation': '传播路径',
+                    'audience': '受众画像',
+                }
+                analysis_data = json.dumps({
+                    'dimension': dim,
+                    'dimension_cn': dim_names.get(dim, dim),
+                    'score': score,
+                    'detail': {
+                        'hours_alive': round(hours_alive, 1),
+                        'adjusted_heat': round(adjusted_heat, 2),
+                        'heat_velocity': new_velocity,
+                        'total_engagement': total_engagement,
+                        'decay_factor': round(decay, 4),
+                    }
+                }, ensure_ascii=False)
+                
+                # Upsert: delete old analysis for this item+dimension, insert new
+                old = await sor.sqlExe(
+                    "select id from hotspot_analysis where item_id=${iid}$ and dimension=${dim}$",
+                    {'iid': item_id, 'dim': dim}
+                )
+                if old:
+                    await sor.U('hotspot_analysis', {
+                        'id': old[0]['id'],
+                        'score': score,
+                        'analysis_data': analysis_data,
+                        'analyzed_at': now_str(),
+                    })
+                else:
+                    await sor.C('hotspot_analysis', {
+                        'id': getID(),
+                        'item_id': item_id,
+                        'dimension': dim,
+                        'score': score,
+                        'analysis_data': analysis_data,
+                        'analyzed_at': now_str(),
+                    })
+        
+        results['dimensions'] = {
+            'time': dim_names['time'],
+            'heat': dim_names['heat'],
+            'content': dim_names['content'],
+            'propagation': dim_names['propagation'],
+            'audience': dim_names['audience'],
+        }
+    
+    return results

wwwroot/hotspot/fetch_now.dspy

@@ -1,165 +1,419 @@
-# 从所有启用的来源抓取热点数据
-import json
+# 抓取引擎 — 支持 API / Browser / Crawler 三种模式
+import json, time, hashlib
 import xml.etree.ElementTree as ET
 from datetime import datetime
 from appPublic.uniqueID import getID
 from sqlor.dbpools import DBPools
 
-async def fetch_rss(url):
-    """解析 RSS/Atom feed"""
+def now_str():
+    return datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+
+async def fetch_rss(session, url):
+    """RSS/Atom 解析"""
     import aiohttp
     items = []
     try:
-        async with aiohttp.ClientSession() as session:
-            async with session.get(url, timeout=aiohttp.ClientTimeout(total=30)) as resp:
-                if resp.status != 200:
-                    return items
-                text = await resp.text()
+        async with session.get(url, timeout=aiohttp.ClientTimeout(total=30)) as resp:
+            if resp.status != 200:
+                return items, resp.status, 0
+            text = await resp.text()
+            size = len(text.encode())
         
         root = ET.fromstring(text)
-        ns = {'atom': 'http://www.w3.org/2005/Atom'}
+        ns_atom = 'http://www.w3.org/2005/Atom'
         
         # RSS 2.0
         for item in root.findall('.//item'):
-            title = item.findtext('title', '')
-            link = item.findtext('link', '')
-            desc = item.findtext('description', '')[:500]
-            pub_date = item.findtext('pubDate', '')
             items.append({
-                'title': title,
-                'url': link,
-                'summary': desc,
-                'publish_time': pub_date,
+                'title': item.findtext('title', ''),
+                'url': item.findtext('link', ''),
+                'summary': (item.findtext('description', '') or '')[:500],
+                'publish_time': item.findtext('pubDate', ''),
             })
         
-        # Atom
+        # Atom fallback
         if not items:
-            for entry in root.findall('.//atom:entry', ns):
-                title = entry.findtext('atom:title', '', ns)
-                link_el = entry.find('atom:link', ns)
-                link = link_el.get('href', '') if link_el is not None else ''
-                summary = entry.findtext('atom:summary', '', ns) or ''
-                updated = entry.findtext('atom:updated', '', ns) or ''
+            for entry in root.findall(f'.//{{{ns_atom}}}entry'):
+                link_el = entry.find(f'{{{ns_atom}}}link')
                 items.append({
-                    'title': title,
-                    'url': link,
-                    'summary': summary[:500],
-                    'publish_time': updated,
+                    'title': entry.findtext(f'{{{ns_atom}}}title', ''),
+                    'url': link_el.get('href', '') if link_el is not None else '',
+                    'summary': (entry.findtext(f'{{{ns_atom}}}summary', '') or '')[:500],
+                    'publish_time': entry.findtext(f'{{{ns_atom}}}updated', '') or '',
                 })
-    except Exception as e:
-        print(f'RSS fetch error for {url}: {e}')
-    return items
         
-async def fetch_api(url, method='GET', headers=None, json_path=None):
-    """调用 API 端点获取热点数据"""
+        return items, resp.status, size
+    except Exception as e:
+        return [], 0, 0
+
+async def fetch_api(session, src):
+    """API 模式：支持 GET/POST + Headers + Auth"""
     import aiohttp
+    url = src.get('url', '')
+    method = src.get('fetch_method', 'GET').upper()
+    
+    headers = {}
+    if src.get('headers'):
+        try:
+            headers = json.loads(src.get('headers', '{}'))
+        except:
+            pass
+    
+    if src.get('api_key'):
+        headers['Authorization'] = f'Bearer {src["api_key"]}'
+    
+    body = None
+    if src.get('request_body') and method == 'POST':
+        try:
+            body = json.dumps(json.loads(src['request_body']))
+        except:
+            body = src['request_body']
+    
     items = []
     try:
-        hdrs = {}
-        if headers:
-            try:
-                hdrs = json.loads(headers)
-            except:
-                pass
+        if method == 'POST':
+            async with session.post(url, headers=headers, data=body or '', timeout=aiohttp.ClientTimeout(total=30)) as resp:
+                status = resp.status
+                text = await resp.text()
+                size = len(text.encode())
+                if status == 200:
+                    try:
+                        data = json.loads(text)
+                    except:
+                        data = {}
+        else:
+            async with session.get(url, headers=headers, timeout=aiohttp.ClientTimeout(total=30)) as resp:
+                status = resp.status
+                text = await resp.text()
+                size = len(text.encode())
+                if status == 200:
+                    try:
+                        data = json.loads(text)
+                    except:
+                        # Maybe it's XML/RSS — try RSS parser
+                        data = {}
         
-        async with aiohttp.ClientSession() as session:
-            if method.upper() == 'GET':
-                async with session.get(url, headers=hdrs, timeout=aiohttp.ClientTimeout(total=30)) as resp:
-                    if resp.status == 200:
-                        data = await resp.json()
-            else:
-                async with session.post(url, headers=hdrs, timeout=aiohttp.ClientTimeout(total=30)) as resp:
-                    if resp.status == 200:
-                        data = await resp.json()
-        
-        # 尝试从 JSON 中提取 items
+        # Extract items from JSON response
         if isinstance(data, list):
             entries = data
         elif isinstance(data, dict):
-            # 常见热点 API 格式
-            entries = data.get('data', data.get('items', data.get('list', [])))
+            entries = data.get('data', data.get('items', data.get('list', data.get('result', []))))
         else:
             entries = []
         
-        for entry in entries[:50]:  # limit
-            if isinstance(entry, dict):
-                title = entry.get('title', entry.get('name', ''))
-                url_val = entry.get('url', entry.get('link', ''))
-                summary = entry.get('summary', entry.get('description', entry.get('desc', '')))
-                heat = entry.get('heat', entry.get('hot', entry.get('score', 0)))
-                items.append({
-                    'title': str(title),
-                    'url': str(url_val),
-                    'summary': str(summary)[:500],
-                    'heat_score': int(heat) if heat else 0,
-                })
+        for entry in entries[:100]:
+            if not isinstance(entry, dict):
+                continue
+            items.append({
+                'title': str(entry.get('title', entry.get('name', ''))),
+                'url': str(entry.get('url', entry.get('link', ''))),
+                'summary': str(entry.get('summary', entry.get('description', entry.get('desc', ''))))[:500],
+                'heat_score': float(entry.get('heat', entry.get('hot', entry.get('score', 0))) or 0),
+                'category': str(entry.get('category', entry.get('type', ''))),
+                'tags': str(entry.get('tags', '')),
+                'engagement_count': int(entry.get('engagement', entry.get('interactions', 0)) or 0),
+                'comment_count': int(entry.get('comments', entry.get('replies', 0)) or 0),
+                'share_count': int(entry.get('shares', entry.get('forwards', 0)) or 0),
+            })
+        
+        return items, status, size
     except Exception as e:
-        print(f'API fetch error for {url}: {e}')
-    return items
+        return [], 0, 0
+
+async def fetch_browser(session, src):
+    """
+    Browser 模式：使用 HTTP 请求 + 从 HTML 提取结构化数据
+    (完整 Headless Browser 需要 playwright/selenium — 这里用 HTTP+解析做轻量版)
+    """
+    import aiohttp
+    from html.parser import HTMLParser
+    
+    url = src.get('url', '')
+    items = []
+    
+    try:
+        headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36'}
+        if src.get('headers'):
+            try:
+                headers.update(json.loads(src.get('headers', '{}')))
+            except:
+                pass
+        
+        async with session.get(url, headers=headers, timeout=aiohttp.ClientTimeout(total=30)) as resp:
+            status = resp.status
+            html = await resp.text()
+            size = len(html.encode())
+        
+        if status != 200:
+            return items, status, size
+        
+        # 通用 HTML 提取：找常见的热点列表结构
+        # 策略：提取所有 <a> 标签中带标题属性的，或 <article>/<li> 块
+        from html.parser import HTMLParser as HP
+        
+        class HotExtractor(HP):
+            def __init__(self):
+                super().__init__()
+                self.items = []
+                self.current = {}
+                self.in_item = False
+                self.tag_stack = []
+                self.text_buf = ''
+                
+            def handle_starttag(self, tag, attrs):
+                attrs_d = dict(attrs)
+                self.tag_stack.append(tag)
+                # 检测列表项容器
+                if tag in ('article', 'li') and 'class' in attrs_d:
+                    cls = attrs_d['class'].lower()
+                    if any(k in cls for k in ('post', 'item', 'entry', 'card', 'topic', 'hot', 'trend')):
+                        self.in_item = True
+                        self.current = {'url': attrs_d.get('href', '')}
+                
+                if tag == 'a' and ('title' in attrs_d or self._is_hot_class(attrs_d.get('class', ''))):
+                    href = attrs_d.get('href', '')
+                    title = attrs_d.get('title', '')
+                    if href and title:
+                        self.items.append({'title': title, 'url': href, 'summary': ''})
+                
+            def handle_endtag(self, tag):
+                if self.tag_stack:
+                    self.tag_stack.pop()
+                if self.in_item and tag in ('article', 'li', 'div'):
+                    if self.current.get('title'):
+                        self.items.append(self.current)
+                    self.in_item = False
+                    self.current = {}
+                
+            def handle_data(self, data):
+                if self.in_item and not self.current.get('title'):
+                    d = data.strip()
+                    if len(d) > 3:
+                        self.current['title'] = d[:200]
+            
+            def _is_hot_class(self, cls):
+                if not cls:
+                    return False
+                cl = cls.lower()
+                return any(k in cl for k in ('title', 'hot', 'trending', 'headline'))
+        
+        extractor = HotExtractor()
+        try:
+            extractor.feed(html)
+        except:
+            pass
+        
+        for it in extractor.items:
+            if it.get('title') and len(it['title']) > 2:
+                items.append({
+                    'title': it['title'][:200],
+                    'url': it.get('url', ''),
+                    'summary': it.get('summary', '')[:500],
+                    'heat_score': 80,
+                })
+        
+        # 如果没提取到，尝试 JSON-LD 或 meta 标签
+        if not items:
+            import re
+            # 尝试提取 og:title / twitter:title
+            og_titles = re.findall(r'<meta[^>]+property="og:title"[^>]+content="([^"]+)"', html)
+            for t in og_titles[:20]:
+                items.append({'title': t, 'url': url, 'summary': '', 'heat_score': 60})
+        
+        return items, status, size
+    except Exception as e:
+        return [], 0, 0
+
+async def fetch_crawler(session, src):
+    """
+    Crawler 模式：从起始URL递归爬取，遵守深度和规则
+    """
+    import aiohttp
+    from urllib.parse import urljoin, urlparse
+    
+    start_urls = [src.get('url', '')]
+    if src.get('crawler_start_urls'):
+        try:
+            start_urls = json.loads(src.get('crawler_start_urls', '[]'))
+        except:
+            pass
+    
+    depth = int(src.get('crawler_depth', 1))
+    rules = {}
+    if src.get('crawler_rules'):
+        try:
+            rules = json.loads(src.get('crawler_rules', '{}'))
+        except:
+            pass
+    
+    # 规则：allowed_domains, link_selector, item_selector, title_selector
+    allowed_domains = rules.get('allowed_domains', [])
+    
+    visited = set()
+    to_visit = list(start_urls)
+    items = []
+    headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36'}
+    
+    for d in range(depth):
+        next_urls = []
+        for url in to_visit:
+            if url in visited or len(items) >= 200:
+                continue
+            visited.add(url)
+            
+            # 域名白名单检查
+            if allowed_domains:
+                domain = urlparse(url).netloc
+                if not any(ad in domain for ad in allowed_domains):
+                    continue
+            
+            try:
+                async with session.get(url, headers=headers, timeout=aiohttp.ClientTimeout(total=20)) as resp:
+                    if resp.status != 200:
+                        continue
+                    html = await resp.text()
+                
+                import re
+                # 提取页面内链接
+                links = re.findall(r'href=["\']([^"\']+)["\']', html)
+                for link in links:
+                    full = urljoin(url, link)
+                    if full not in visited and full.startswith(('http://', 'https://')):
+                        next_urls.append(full)
+                
+                # 提取标题
+                titles = re.findall(r'<title>([^<]+)</title>', html)
+                if titles:
+                    items.append({
+                        'title': titles[0][:200],
+                        'url': url,
+                        'summary': '',
+                        'heat_score': 50 + (3 - d) * 15,
+                    })
+                
+                # 尝试提取 h1/h2 标题
+                h_tags = re.findall(r'<h[12][^>]*>([^<]+)</h[12]>', html)
+                for h in h_tags[:10]:
+                    h = h.strip()
+                    if len(h) > 5:
+                        items.append({
+                            'title': h[:200],
+                            'url': url,
+                            'summary': '',
+                            'heat_score': 40 + (3 - d) * 10,
+                        })
+                
+            except:
+                continue
+        
+        to_visit = next_urls[:50]  # 每层限制50个链接
+    
+    return items, 200, 0
 
 async def main(request):
     db = DBPools()
-    now = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
-    new_items = 0
-    total_sources = 0
+    now = now_str()
+    results = {'total': 0, 'new_items': 0, 'errors': 0, 'details': []}
     
     async with db.sqlorContext('sage') as sor:
         sources = await sor.R('hotspot_source', {})
     
-    for src in sources:
-        if src.get('enabled') != '1':
-            continue
+    import aiohttp
+    async with aiohttp.ClientSession() as session:
+        for src in sources:
+            if src.get('enabled') != '1':
+                continue
             
-        total_sources += 1
-        src_type = src.get('type', 'rss')
-        src_url = src.get('url', '')
+            results['total'] += 1
+            src_id = src['id']
+            src_type = src.get('type', 'rss')
+            t0 = time.time()
             
-        if not src_url:
-            continue
+            # 执行抓取
+            try:
+                if src_type == 'rss':
+                    items, code, size = await fetch_rss(session, src.get('url', ''))
+                elif src_type == 'api':
+                    items, code, size = await fetch_api(session, src)
+                elif src_type == 'browser':
+                    items, code, size = await fetch_browser(session, src)
+                elif src_type == 'crawler':
+                    items, code, size = await fetch_crawler(session, src)
+                else:
+                    items, code, size = [], 0, 0
+            except Exception as e:
+                items, code, size = [], 0, 0
+                results['errors'] += 1
+                async with db.sqlorContext('sage') as sor:
+                    await sor.C('hotspot_fetch_log', {
+                        'id': getID(), 'source_id': src_id,
+                        'start_time': now, 'end_time': now_str(),
+                        'duration_ms': int((time.time() - t0) * 1000),
+                        'status': 'failed', 'items_total': 0, 'items_new': 0,
+                        'items_duplicate': 0, 'error_msg': str(e)[:1000],
+                        'response_code': 0, 'response_size_bytes': 0,
+                    })
+                continue
             
-        if src_type == 'rss':
-            items = await fetch_rss(src_url)
-        elif src_type == 'api':
-            fetch_method = src.get('fetch_method', 'GET')
-            headers = src.get('headers', '')
-            items = await fetch_api(src_url, fetch_method, headers)
-        else:
-            continue
+            elapsed = int((time.time() - t0) * 1000)
+            status = 'success' if code in (0, 200) else 'partial'
+            new_count = 0
+            dup_count = 0
             
-        # 存入数据库
-        async with db.sqlorContext('sage') as sor:
-            # 更新 last_fetch
-            await sor.U('hotspot_source', {
-                'id': src['id'],
-                'last_fetch': now,
+            # 存入数据库
+            async with db.sqlorContext('sage') as sor:
+                # 更新来源 last_fetch
+                await sor.U('hotspot_source', {'id': src_id, 'last_fetch': now})
+                
+                for item in items:
+                    url = item.get('url', '')
+                    if url:
+                        existing = await sor.sqlExe(
+                            "select id from hotspot_item where url=${u}$ limit 1", {'u': url})
+                        if existing:
+                            dup_count += 1
+                            continue
+                    
+                    new_id = getID()
+                    await sor.C('hotspot_item', {
+                        'id': new_id, 'source_id': src_id,
+                        'title': item.get('title', '')[:500],
+                        'url': url[:2000] if url else '',
+                        'summary': item.get('summary', '')[:1000],
+                        'heat_score': item.get('heat_score', 100),
+                        'heat_velocity': 0,
+                        'publish_time': item.get('publish_time', now),
+                        'first_seen': now, 'last_updated': now,
+                        'status': 'emerging',
+                        'category': item.get('category', ''),
+                        'tags': item.get('tags', ''),
+                        'engagement_count': item.get('engagement_count', 0),
+                        'comment_count': item.get('comment_count', 0),
+                        'share_count': item.get('share_count', 0),
+                        'sentiment': 'neutral',
+                    })
+                    new_count += 1
+                
+                # 写抓取日志
+                await sor.C('hotspot_fetch_log', {
+                    'id': getID(), 'source_id': src_id,
+                    'start_time': now, 'end_time': now_str(),
+                    'duration_ms': elapsed,
+                    'status': status, 'items_total': len(items),
+                    'items_new': new_count, 'items_duplicate': dup_count,
+                    'error_msg': '',
+                    'response_code': code, 'response_size_bytes': size,
+                })
+            
+            results['new_items'] += new_count
+            results['details'].append({
+                'source': src.get('name', src_id),
+                'type': src_type,
+                'total': len(items),
+                'new': new_count,
+                'dup': dup_count,
+                'elapsed_ms': elapsed,
+                'code': code,
             })
     
-            for item in items:
-                # 去重：检查 URL 是否已存在
-                existing = await sor.sqlExe(
-                    "select id from hotspot_item where url=${url}$",
-                    {'url': item.get('url', '')}
-                )
-                if existing:
-                    continue
-                
-                new_id = getID()
-                status = 'rising'  # 新抓取的默认 rising
-                await sor.C('hotspot_item', {
-                    'id': new_id,
-                    'source_id': src['id'],
-                    'title': item.get('title', ''),
-                    'url': item.get('url', ''),
-                    'summary': item.get('summary', '')[:500],
-                    'heat_score': item.get('heat_score', 100),
-                    'publish_time': item.get('publish_time', now),
-                    'fetch_time': now,
-                    'status': status,
-                })
-                new_items += 1
-    
-    return {
-        'total': total_sources,
-        'new_items': new_items,
-        'time': now,
-    }
+    return results

wwwroot/hotspot/index.ui

@@ -3,20 +3,6 @@
     "widgettype": "VBox",
     "options": {
         "children": [
-            {
-                "widgettype": "Text",
-                "options": {
-                    "text": "热点雷达系统",
-                    "style": "font-size:24px;font-weight:bold;padding:16px 16px 0 16px;"
-                }
-            },
-            {
-                "widgettype": "Text",
-                "options": {
-                    "text": "指定来源的热点聚合分析平台",
-                    "style": "font-size:14px;color:#999;padding:0 16px 16px 16px;"
-                }
-            },
             {
                 "widgettype": "HBox",
                 "options": {
@@ -24,12 +10,12 @@
                         {
                             "widgettype": "VBox",
                             "options": {
-                                "id": "stat_total",
+                                "id": "stat_emerging",
                                 "children": [
-                                    {"widgettype": "Text", "options": {"text": "热点总数", "style": "color:#666;font-size:12px;"}},
-                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:28px;font-weight:bold;color:#1890ff;"}}
+                                    {"widgettype": "Text", "options": {"text": "潜在热点", "style": "color:#666;font-size:12px;"}},
+                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:32px;font-weight:bold;color:#52c41a;"}}
                                 ],
-                                "style": "padding:16px;background:#f0f5ff;border-radius:8px;margin:8px;min-width:100px;text-align:center;"
+                                "style": "padding:14px;background:#f6ffed;border-radius:8px;margin:6px;min-width:90px;text-align:center;border:1px solid #b7eb8f;"
                             }
                         },
                         {
@@ -38,9 +24,9 @@
                                 "id": "stat_rising",
                                 "children": [
                                     {"widgettype": "Text", "options": {"text": "上升中", "style": "color:#666;font-size:12px;"}},
-                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:28px;font-weight:bold;color:#52c41a;"}}
+                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:32px;font-weight:bold;color:#1890ff;"}}
                                 ],
-                                "style": "padding:16px;background:#f6ffed;border-radius:8px;margin:8px;min-width:100px;text-align:center;"
+                                "style": "padding:14px;background:#e6f7ff;border-radius:8px;margin:6px;min-width:90px;text-align:center;border:1px solid #91d5ff;"
                             }
                         },
                         {
@@ -49,9 +35,9 @@
                                 "id": "stat_hot",
                                 "children": [
                                     {"widgettype": "Text", "options": {"text": "正热点", "style": "color:#666;font-size:12px;"}},
-                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:28px;font-weight:bold;color:#ff4d4f;"}}
+                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:32px;font-weight:bold;color:#ff4d4f;"}}
                                 ],
-                                "style": "padding:16px;background:#fff2f0;border-radius:8px;margin:8px;min-width:100px;text-align:center;"
+                                "style": "padding:14px;background:#fff1f0;border-radius:8px;margin:6px;min-width:90px;text-align:center;border:1px solid #ffa39e;"
                             }
                         },
                         {
@@ -60,9 +46,9 @@
                                 "id": "stat_cooling",
                                 "children": [
                                     {"widgettype": "Text", "options": {"text": "降温中", "style": "color:#666;font-size:12px;"}},
-                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:28px;font-weight:bold;color:#faad14;"}}
+                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:32px;font-weight:bold;color:#faad14;"}}
                                 ],
-                                "style": "padding:16px;background:#fffbe6;border-radius:8px;margin:8px;min-width:100px;text-align:center;"
+                                "style": "padding:14px;background:#fffbe6;border-radius:8px;margin:6px;min-width:90px;text-align:center;border:1px solid #ffe58f;"
                             }
                         },
                         {
@@ -71,9 +57,9 @@
                                 "id": "stat_expired",
                                 "children": [
                                     {"widgettype": "Text", "options": {"text": "已过期", "style": "color:#666;font-size:12px;"}},
-                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:28px;font-weight:bold;color:#999;"}}
+                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:32px;font-weight:bold;color:#bfbfbf;"}}
                                 ],
-                                "style": "padding:16px;background:#f5f5f5;border-radius:8px;margin:8px;min-width:100px;text-align:center;"
+                                "style": "padding:14px;background:#fafafa;border-radius:8px;margin:6px;min-width:90px;text-align:center;border:1px solid #d9d9d9;"
                             }
                         },
                         {
@@ -81,10 +67,21 @@
                             "options": {
                                 "id": "stat_sources",
                                 "children": [
-                                    {"widgettype": "Text", "options": {"text": "数据来源", "style": "color:#666;font-size:12px;"}},
-                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:28px;font-weight:bold;color:#722ed1;"}}
+                                    {"widgettype": "Text", "options": {"text": "活跃来源", "style": "color:#666;font-size:12px;"}},
+                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:32px;font-weight:bold;color:#722ed1;"}}
                                 ],
-                                "style": "padding:16px;background:#f9f0ff;border-radius:8px;margin:8px;min-width:100px;text-align:center;"
+                                "style": "padding:14px;background:#f9f0ff;border-radius:8px;margin:6px;min-width:90px;text-align:center;border:1px solid #d3adf7;"
+                            }
+                        },
+                        {
+                            "widgettype": "VBox",
+                            "options": {
+                                "id": "stat_failures",
+                                "children": [
+                                    {"widgettype": "Text", "options": {"text": "24h 抓取失败", "style": "color:#666;font-size:12px;"}},
+                                    {"widgettype": "Text", "options": {"text": "0", "style": "font-size:32px;font-weight:bold;color:#ff7875;"}}
+                                ],
+                                "style": "padding:14px;background:#fff2f0;border-radius:8px;margin:6px;min-width:90px;text-align:center;border:1px solid #ffccc7;"
                             }
                         }
                     ]
@@ -99,8 +96,17 @@
                             "options": {
                                 "label": "立即抓取全部来源",
                                 "actiontype": "script",
-                                "script": "fetch('/hotspot/fetch_now.dspy').then(r=>r.json()).then(d=>{alert('抓取完成: 处理'+d.total+'个来源，新增'+d.new_items+'条');setTimeout(()=>location.reload(),1000);}).catch(e=>alert('抓取出错: '+e))",
-                                "style": "margin:8px;"
+                                "script": "fetch('/hotspot/fetch_now.dspy').then(r=>r.json()).then(d=>{var m='完成: '+d.total+'来源, 新增'+d.new_items+'条';if(d.errors)m+='\\\\n失败: '+d.errors;alert(m);setTimeout(()=>location.reload(),1000);}).catch(e=>alert('异常: '+e))",
+                                "style": "margin:6px;"
+                            }
+                        },
+                        {
+                            "widgettype": "Button",
+                            "options": {
+                                "label": "执行分析",
+                                "actiontype": "script",
+                                "script": "fetch('/hotspot/analyze.dspy').then(r=>r.json()).then(d=>{alert('已分析: '+d.analyzed+'条热点');setTimeout(()=>location.reload(),1000);}).catch(e=>alert('分析异常: '+e))",
+                                "style": "margin:6px;"
                             }
                         },
                         {
@@ -108,8 +114,8 @@
                             "options": {
                                 "label": "刷新统计",
                                 "actiontype": "script",
-                                "script": "fetch('/hotspot/stats.dspy').then(r=>r.json()).then(d=>{document.querySelectorAll('[id^=stat_]').forEach(el=>{const num=el.querySelectorAll('div')[1];if(num){const k=el.id.replace('stat_','');num.textContent=d[k]||0;}});}).catch(e=>console.error(e))",
-                                "style": "margin:8px;"
+                                "script": "fetch('/hotspot/stats.dspy').then(r=>r.json()).then(d=>{['emerging','rising','hot','cooling','expired','sources','failures'].forEach(k=>{var el=document.querySelectorAll('[id=stat_'+k+'] div')[1];if(el)el.textContent=d[k]||0;});}).catch(e=>console.error('stats err',e))",
+                                "style": "margin:6px;"
                             }
                         }
                     ]
@@ -119,31 +125,46 @@
                 "widgettype": "Tab",
                 "options": {
                     "tabs": [
-                        {
-                            "title": "热点条目",
-                            "content": {
-                                "widgettype": "urlwidget",
-                                "options": {
-                                    "url": "{{ entire_url('hotspot_item') }}"
-                                }
-                            }
-                        },
                         {
                             "title": "来源管理",
                             "content": {
                                 "widgettype": "urlwidget",
-                                "options": {
-                                    "url": "{{ entire_url('hotspot_source') }}"
-                                }
+                                "options": {"url": "{{ entire_url('hotspot_source') }}"}
                             }
                         },
                         {
-                            "title": "分析记录",
+                            "title": "调度配置",
                             "content": {
                                 "widgettype": "urlwidget",
-                                "options": {
-                                    "url": "{{ entire_url('hotspot_analysis') }}"
-                                }
+                                "options": {"url": "{{ entire_url('hotspot_schedule') }}"}
+                            }
+                        },
+                        {
+                            "title": "抓取日志",
+                            "content": {
+                                "widgettype": "urlwidget",
+                                "options": {"url": "{{ entire_url('hotspot_fetch_log') }}"}
+                            }
+                        },
+                        {
+                            "title": "热点条目",
+                            "content": {
+                                "widgettype": "urlwidget",
+                                "options": {"url": "{{ entire_url('hotspot_item') }}"}
+                            }
+                        },
+                        {
+                            "title": "五维分析",
+                            "content": {
+                                "widgettype": "urlwidget",
+                                "options": {"url": "{{ entire_url('hotspot_analysis') }}"}
+                            }
+                        },
+                        {
+                            "title": "预警规则",
+                            "content": {
+                                "widgettype": "urlwidget",
+                                "options": {"url": "{{ entire_url('hotspot_alert') }}"}
                             }
                         }
                     ]
@@ -152,8 +173,8 @@
             {
                 "widgettype": "Text",
                 "options": {
-                    "text": "提示：在「来源管理」中添加 RSS/API 来源后，点击「立即抓取」获取热点数据。",
-                    "style": "font-size:12px;color:#bbb;padding:16px;"
+                    "text": "工作流: ① 添加来源(type=api/browser/crawler) → ② 配置调度(cron/interval) → ③ 查看抓取日志(成功率/错误) → ④ 浏览热点(emerging/rising/hot/cooling/expired) → ⑤ 五维分析 → ⑥ 设置预警",
+                    "style": "font-size:12px;color:#bbb;padding:16px;border-top:1px solid #eee;margin-top:8px;"
                 }
             }
         ]

wwwroot/hotspot/stats.dspy

@@ -1,24 +1,63 @@
-from appPublic.uniqueID import getID
+# 热点统计：全维度
+from datetime import datetime, timedelta
 from sqlor.dbpools import DBPools
 
 async def main(request):
     db = DBPools()
-    async with db.sqlorContext('sage') as sor:
-        items = await sor.R('hotspot_item', {'order': 'fetch_time desc'})
-        sources = await sor.R('hotspot_source', {})
+    now = datetime.now()
+    day_ago = (now - timedelta(hours=24)).strftime('%Y-%m-%d %H:%M:%S')
     
-        total = len(items)
-        rising = sum(1 for i in items if i.get('status') == 'rising')
-        hot = sum(1 for i in items if i.get('status') == 'hot')
-        cooling = sum(1 for i in items if i.get('status') == 'cooling')
-        expired = sum(1 for i in items if i.get('status') == 'expired')
-        sources_count = len([s for s in sources if s.get('enabled') == '1'])
+    async with db.sqlorContext('sage') as sor:
+        items = await sor.R('hotspot_item', {'order': 'heat_score desc'})
+        sources = await sor.R('hotspot_source', {})
+        logs = await sor.sqlExe(
+            "select * from hotspot_fetch_log where start_time >= ${t}$",
+            {'t': day_ago}
+        )
+    
+    status_count = {'emerging': 0, 'rising': 0, 'hot': 0, 'cooling': 0, 'expired': 0}
+    for item in items:
+        s = item.get('status', 'emerging')
+        status_count[s] = status_count.get(s, 0) + 1
+    
+    sources_active = sum(1 for s in sources if s.get('enabled') == '1')
+    failures = sum(1 for log in logs if log.get('status') == 'failed')
+    
+    # Top sources by item count
+    src_count = {}
+    for item in items:
+        sid = item.get('source_id', '')
+        src_count[sid] = src_count.get(sid, 0) + 1
+    
+    top_src = sorted(src_count.items(), key=lambda x: x[1], reverse=True)[:5]
+    src_names = {s['id']: s.get('name', s['id']) for s in sources}
+    
+    # Avg heat by category
+    cat_heat = {}
+    for item in items:
+        cat = item.get('category', '未分类') or '未分类'
+        h = float(item.get('heat_score', 0))
+        if cat not in cat_heat:
+            cat_heat[cat] = {'sum': 0, 'cnt': 0}
+        cat_heat[cat]['sum'] += h
+        cat_heat[cat]['cnt'] += 1
+    
+    top_categories = sorted(
+        [{'name': k, 'avg': round(v['sum']/v['cnt'], 1), 'cnt': v['cnt']}
+         for k, v in cat_heat.items()],
+        key=lambda x: x['cnt'], reverse=True
+    )[:10]
     
     return {
-        'total': total,
-        'rising': rising,
-        'hot': hot,
-        'cooling': cooling,
-        'expired': expired,
-        'sources': sources_count
+        'total': len(items),
+        'emerging': status_count['emerging'],
+        'rising': status_count['rising'],
+        'hot': status_count['hot'],
+        'cooling': status_count['cooling'],
+        'expired': status_count['expired'],
+        'sources': sources_active,
+        'failures': failures,
+        'top_sources': [{'name': src_names.get(k, k), 'count': v} for k, v in top_src],
+        'top_categories': top_categories,
+        'log_count_24h': len(logs),
     }