feat: 统计图表功能 - 人数时间线曲线图、事件类型分布、历史趋势

web/app.py

@@ -194,6 +194,127 @@ async def rename_person(person_id: str, name: str):
     raise HTTPException(status_code=404, detail="人员不存在")
 
 
+@app.get("/api/stats/daily")
+async def get_daily_stats(date: str = None):
+    """获取每日统计数据"""
+    from datetime import datetime, timedelta
+    
+    # 默认昨天的数据
+    if date is None:
+        yesterday = datetime.now() - timedelta(days=1)
+        date = yesterday.strftime('%Y-%m-%d')
+    
+    conn = db._get_conn()
+    conn.row_factory = sqlite3.Row
+    
+    # 获取当天所有图片
+    cursor = conn.execute(
+        "SELECT id, timestamp, analyzed FROM images WHERE date_folder = ? ORDER BY timestamp",
+        (date,)
+    )
+    images = [dict(row) for row in cursor.fetchall()]
+    
+    # 获取每个时间点的人数
+    timeline = []
+    for img in images:
+        # 获取该图片的事件
+        events = db.get_events_by_image(img['id'])
+        
+        # 计算人数
+        person_count = 0
+        for event in events:
+            if '人物活动' in event['event_type'] or '人员进出' in event['event_type']:
+                # 从描述中提取人数
+                desc = event['description']
+                if '共 ' in desc and ' 人' in desc:
+                    try:
+                        count_str = desc.split('共 ')[1].split(' 人')[0]
+                        person_count = int(count_str)
+                    except:
+                        person_count = 1
+                elif '#1' in desc or '#2' in desc or '#3' in desc:
+                    person_count = max(person_count, 1)
+        
+        timeline.append({
+            'time': img['timestamp'],
+            'image_id': img['id'],
+            'person_count': person_count,
+            'analyzed': img['analyzed']
+        })
+    
+    # 统计汇总
+    total_images = len(images)
+    total_events = conn.execute(
+        "SELECT COUNT(*) FROM events WHERE image_id IN (SELECT id FROM images WHERE date_folder = ?)",
+        (date,)
+    ).fetchone()[0]
+    
+    # 事件类型统计
+    cursor = conn.execute(
+        """SELECT event_type, COUNT(*) as count 
+           FROM events WHERE image_id IN 
+           (SELECT id FROM images WHERE date_folder = ?)
+           GROUP BY event_type""",
+        (date,)
+    )
+    event_types = [{'type': row[0], 'count': row[1]} for row in cursor.fetchall()]
+    
+    conn.close()
+    
+    return {
+        'date': date,
+        'timeline': timeline,
+        'total_images': total_images,
+        'total_events': total_events,
+        'event_types': event_types
+    }
+
+
+@app.get("/api/stats/history")
+async def get_history_stats(days: int = 7):
+    """获取历史统计（最近N天）"""
+    from datetime import datetime, timedelta
+    
+    conn = db._get_conn()
+    
+    history = []
+    
+    for i in range(days):
+        date = (datetime.now() - timedelta(days=i)).strftime('%Y-%m-%d')
+        
+        # 统计当天的数据
+        total_images = conn.execute(
+            "SELECT COUNT(*) FROM images WHERE date_folder = ?",
+            (date,)
+        ).fetchone()[0]
+        
+        total_events = conn.execute(
+            "SELECT COUNT(*) FROM events WHERE image_id IN (SELECT id FROM images WHERE date_folder = ?)",
+            (date,)
+        ).fetchone()[0]
+        
+        # 人数变化统计
+        cursor = conn.execute(
+            """SELECT e.event_type, COUNT(*) as count 
+               FROM events e JOIN images i ON e.image_id = i.id 
+               WHERE i.date_folder = ? AND e.event_type LIKE '%人员进出%'
+               GROUP BY e.event_type""",
+            (date,)
+        )
+        person_changes = sum(row[1] for row in cursor.fetchall())
+        
+        history.append({
+            'date': date,
+            'total_images': total_images,
+            'total_events': total_events,
+            'person_changes': person_changes
+        })
+    
+    conn.close()
+    
+    return {'history': history, 'days': days}
+
+
 # ============== 图片 API ==============
 
 @app.get("/api/images")