import tweepy
import time

# 替换为你的 Twitter API 密钥
API_KEY = 'PvmpsQ03urOzrZLxFRaTlq1e2'
API_KEY_SECRET = 'SY2xcGOJBVRO8pStF23Al5lHgXRJ95b9gzHuOdX6sI40D9IZ0Z'
ACCESS_TOKEN = '209453217-1TBd7HtWSrzVc24ZYVzb3JwbOtxPxGuqRwq4bXuW'
ACCESS_TOKEN_SECRET = 'oU39wnIOCwILHZ2RXbzHSGnS9e0SAsvtwF6PhyhDU0Hra'
BEARER_TOKEN = 'AAAAAAAAAAAAAAAAAAAAAN3VtQEAAAAAKSMZ3VcPmGVwMgxIjX8yeb9Fbow%3DXl2BW9tUi5vn1y6uFpcA8DsyXp56yd0MQnmGhheWK04tFKPxDf'

# 认证到 Twitter API
client = tweepy.Client(bearer_token=BEARER_TOKEN, 
                       consumer_key=API_KEY, 
                       consumer_secret=API_KEY_SECRET,
                       access_token=ACCESS_TOKEN, 
                       access_token_secret=ACCESS_TOKEN_SECRET)

# 指定要监控的 Twitter 账号
twitter_username = 'whale_alert'

# 获取用户ID
user = client.get_user(username=twitter_username)
user_id = user.data.id

# 已处理推文的ID集合
processed_tweet_ids = set()

def monitor_tweets(user_id):
    # 获取该用户最新的推文
    response = client.get_users_tweets(id=user_id, max_results=5)
    tweets = response.data

    # 处理和打印新的推文
    for tweet in tweets:
        if tweet.id not in processed_tweet_ids:
            print(f'{tweet.id} - {tweet.text}')
            processed_tweet_ids.add(tweet.id)

# 定期监控推文（例如每隔 60 秒）
while True:
    monitor_tweets(user_id)
    time.sleep(60)