AI 生成: 基于AI的酒店推荐系统，集成地图路线与距离显示，使用Flask后端与Leaflet前端。

app.py

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+from flask import Flask, render_template, request, jsonify
+import random
+import math
+
+app = Flask(__name__)
+
+# 模拟酒店数据（实际可接入真实API）
+HOTELS = [
+    {"id": 1, "name": "海景大酒店", "lat": 31.2304, "lng": 121.4737, "price": 800, "rating": 4.8, "tags": ["海景", "免费早餐", "健身房"]},
+    {"id": 2, "name": "城市商务酒店", "lat": 31.2350, "lng": 121.4800, "price": 500, "rating": 4.5, "tags": ["商务中心", "会议室", "24小时前台"]},
+    {"id": 3, "name": "温馨民宿", "lat": 31.2250, "lng": 121.4650, "price": 300, "rating": 4.7, "tags": ["家庭房", "厨房", "免费停车"]},
+    {"id": 4, "name": "豪华度假村", "lat": 31.2400, "lng": 121.4900, "price": 1500, "rating": 4.9, "tags": ["泳池", "SPA", "私人海滩"]},
+    {"id": 5, "name": "经济快捷酒店", "lat": 31.2200, "lng": 121.4600, "price": 200, "rating": 4.2, "tags": ["免费WiFi", "空调", "电视"]},
+]
+
+def haversine(lat1, lon1, lat2, lon2):
+    """计算两点间距离（公里）"""
+    R = 6371
+    dlat = math.radians(lat2 - lat1)
+    dlon = math.radians(lon2 - lon1)
+    a = math.sin(dlat/2)**2 + math.cos(math.radians(lat1)) * math.cos(math.radians(lat2)) * math.sin(dlon/2)**2
+    c = 2 * math.asin(math.sqrt(a))
+    return R * c
+
+def ai_recommend(destination, budget, preferences, user_lat, user_lng):
+    """简单AI推荐：根据预算、偏好、距离评分"""
+    scored = []
+    for h in HOTELS:
+        score = 0
+        # 预算匹配
+        if budget and h["price"] <= budget:
+            score += 30
+        elif budget:
+            score -= 10
+        # 偏好匹配
+        for pref in preferences:
+            if pref in h["tags"]:
+                score += 20
+        # 评分
+        score += h["rating"] * 5
+        # 距离（越近越高）
+        dist = haversine(user_lat, user_lng, h["lat"], h["lng"])
+        score += max(0, 30 - dist * 2)
+        h_copy = h.copy()
+        h_copy["distance"] = round(dist, 2)
+        h_copy["score"] = round(score, 1)
+        scored.append(h_copy)
+    scored.sort(key=lambda x: x["score"], reverse=True)
+    return scored
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/api/recommend', methods=['POST'])
+def recommend():
+    data = request.json
+    destination = data.get('destination', '上海')
+    budget = data.get('budget')
+    preferences = data.get('preferences', [])
+    user_lat = data.get('lat', 31.2304)
+    user_lng = data.get('lng', 121.4737)
+    if budget:
+        budget = float(budget)
+    results = ai_recommend(destination, budget, preferences, user_lat, user_lng)
+    return jsonify({"hotels": results})
+
+if __name__ == '__main__':
+    app.run(debug=True)