Update .gitignore and add files

back/blueprints/wendu.py

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+import sqlite3
+from flask import Blueprint, current_app, jsonify, g, Flask, request
+from datetime import datetime, timedelta
+
+
+
+# 初始化蓝图对象
+bp = Blueprint('wendu', __name__, url_prefix='/api')
+
+
+@bp.route('/temperature/daily/average', methods=['GET'])
+def get_daily_average_by_device():
+    """按设备分组获取近30天的每日温度平均值"""
+    try:
+        db = current_app.get_db()
+
+        # 计算查询日期范围（近30天）
+        days = request.args.get('days', default=30, type=int)
+        end_date = datetime.now().date()
+        start_date = end_date - timedelta(days=days - 1)
+
+        current_app.logger.info(f"查询最近{days}天温度数据: {start_date} 至 {end_date}")
+
+        # 执行SQL查询
+        cursor = db.execute('''
+            SELECT 
+                d.id AS device_id,
+                d.device_name,
+                date(t.timestamp) AS date_day,
+                ROUND(AVG(t.temperature), 1) AS avg_temp
+            FROM temperature_data t
+            JOIN device d ON t.device_id = d.id
+            WHERE date(t.timestamp) BETWEEN ? AND ?
+            GROUP BY d.id, d.device_name, date_day
+            ORDER BY d.id, date_day ASC
+        ''', (start_date, end_date))
+
+        rows = cursor.fetchall()
+        current_app.logger.info(f"查询结果行数: {len(rows)}")
+
+        if not rows:
+            current_app.logger.warning(f"在{start_date}至{end_date}范围内未找到温度数据")
+            return jsonify({
+                "code": 404,
+                "message": f"最近{days}天内无温度数据",
+                "data": {}
+            })
+
+        # 处理查询结果
+        device_data = {}
+        for row in rows:
+            device_id = str(row['device_id'])
+            if device_id not in device_data:
+                device_data[device_id] = {
+                    'device_name': row['device_name'],
+                    'dates': [],
+                    'temperatures': []
+                }
+
+            device_data[device_id]['dates'].append(row['date_day'])
+            device_data[device_id]['temperatures'].append(float(row['avg_temp']))
+
+        # 确保数据按日期排序
+        for device in device_data.values():
+            if len(device['dates']) > 1:
+                combined = sorted(zip(device['dates'], device['temperatures']), key=lambda x: x[0])
+                device['dates'], device['temperatures'] = zip(*combined)
+                device['dates'] = list(device['dates'])
+                device['temperatures'] = list(device['temperatures'])
+
+        return jsonify({
+            "code": 200,
+            "message": "Success",
+            "data": device_data
+        })
+
+    except Exception as e:
+        current_app.logger.error(f"获取温度数据失败: {str(e)}", exc_info=True)
+        return jsonify({
+            "code": 500,
+            "message": f"服务器错误: {str(e)}"
+        }), 500
+
+# 注册蓝图
+