import requests

def get_weibo_hot():
    response = requests.get('https://60s.viki.moe/v2/weibo')
    return response.json()

hot_topics = get_weibo_hot()
print("🔥 微博热搜：")
for i, topic in enumerate(hot_topics['data'][:10], 1):
    print(f"{i}. {topic['title']} - 热度: {topic['热度']}")

def get_zhihu_hot():
    response = requests.get('https://60s.viki.moe/v2/zhihu')
    return response.json()

topics = get_zhihu_hot()
print("💡 知乎热榜：")
for topic in topics['data'][:10]:
    print(f"· {topic['title']}")

def get_all_hot_topics():
    platforms = {
        'weibo': 'https://60s.viki.moe/v2/weibo',
        'zhihu': 'https://60s.viki.moe/v2/zhihu',
        'baidu': 'https://60s.viki.moe/v2/baidu/hot',
        'douyin': 'https://60s.viki.moe/v2/douyin',
        'bili': 'https://60s.viki.moe/v2/bili'
    }
    
    results = {}
    for name, url in platforms.items():
        try:
            response = requests.get(url)
            results[name] = response.json()
        except:
            results[name] = None
    
    return results

# Usage
all_topics = get_all_hot_topics()

# Weibo hot search
curl "https://60s.viki.moe/v2/weibo"

# Zhihu trending
curl "https://60s.viki.moe/v2/zhihu"

# Baidu hot search
curl "https://60s.viki.moe/v2/baidu/hot"

# Douyin trending
curl "https://60s.viki.moe/v2/douyin"

# Bilibili trending
curl "https://60s.viki.moe/v2/bili"

{
  "data": [
    {
      "title": "话题标题",
      "url": "https://...",
      "热度": "1234567",
      "rank": 1
    },
    ...
  ],
  "update_time": "2024-01-15 14:00:00"
}

hot = get_weibo_hot()
top_5 = hot['data'][:5]

response = "🔥 微博热搜 TOP 5：\n\n"
for i, topic in enumerate(top_5, 1):
    response += f"{i}. {topic['title']}\n"
    response += f"   热度：{topic.get('热度', 'N/A')}\n\n"

zhihu = get_zhihu_hot()
response = "💡 知乎当前热门话题：\n\n"
for topic in zhihu['data'][:8]:
    response += f"· {topic['title']}\n"

def compare_platform_trends():
    all_topics = get_all_hot_topics()
    
    summary = "📊 各平台热点概览\n\n"
    
    platforms = {
        'weibo': '微博',
        'zhihu': '知乎',
        'baidu': '百度',
        'douyin': '抖音',
        'bili': 'B站'
    }
    
    for key, name in platforms.items():
        if all_topics.get(key):
            top_topic = all_topics[key]['data'][0]
            summary += f"{name}：{top_topic['title']}\n"
    
    return summary

def get_daily_trending_summary():
    weibo = get_weibo_hot()
    zhihu = get_zhihu_hot()
    
    summary = "📱 今日热点速览\n\n"
    summary += "【微博热搜】\n"
    summary += "\n".join([f"{i}. {t['title']}" 
                          for i, t in enumerate(weibo['data'][:3], 1)])
    summary += "\n\n【知乎热榜】\n"
    summary += "\n".join([f"{i}. {t['title']}" 
                          for i, t in enumerate(zhihu['data'][:3], 1)])
    
    return summary

def find_common_topics():
    all_topics = get_all_hot_topics()
    
    # Extract titles from all platforms
    all_titles = []
    for platform_data in all_topics.values():
        if platform_data and 'data' in platform_data:
            all_titles.extend([t['title'] for t in platform_data['data']])
    
    # Simple keyword matching (can be improved)
    from collections import Counter
    keywords = []
    for title in all_titles:
        keywords.extend(title.split())
    
    common = Counter(keywords).most_common(10)
    return f"🔍 热门关键词：{', '.join([k for k, _ in common])}"

def check_trending_topic(keyword):
    platforms = ['weibo', 'zhihu', 'baidu']
    found_in = []
    
    for platform in platforms:
        url = f'https://60s.viki.moe/v2/{platform}' if platform != 'baidu' else 'https://60s.viki.moe/v2/baidu/hot'
        data = requests.get(url).json()
        
        for topic in data['data']:
            if keyword.lower() in topic['title'].lower():
                found_in.append(platform)
                break
    
    if found_in:
        return f"✅ 话题 '{keyword}' 正在以下平台trending: {', '.join(found_in)}"
    return f"❌ 话题 '{keyword}' 未在主流平台trending"

def recommend_content_by_interest(interest):
    """Recommend trending content based on user interest"""
    all_topics = get_all_hot_topics()
    
    recommendations = []
    for platform, data in all_topics.items():
        if data and 'data' in data:
            for topic in data['data']:
                if interest.lower() in topic['title'].lower():
                    recommendations.append({
                        'platform': platform,
                        'title': topic['title'],
                        'url': topic.get('url', '')
                    })
    
    return recommendations