Init: 导入源码
This commit is contained in:
Kevin Wong
11
README.md
11
README.md
@@ -1,2 +1,13 @@
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# AI-Tweets
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### ReplyBot
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- 代码优化，每15分钟只能点赞一次
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- 重复回复问题未解决
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### TweetsBot
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- 代码优化
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- 搜索指定用户最近的5条推文，用deepseek总结发送推文
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370
ReplyBot.py
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370
ReplyBot.py
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import requests
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import time
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import json
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import os
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from openai import OpenAI
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import tweepy
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# API密钥配置
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TWITTER_API_KEY = "3nt1jN4VvqUaaXGHv9AN5VsTV"
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TWITTER_API_SECRET = "M2io73S7TzitFiBw825QIq8atyZRljbIDQuTpH39uFZanQ4XFh"
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TWITTER_ACCESS_TOKEN = "1944636908-prxfjL6OIb56BQjuFTdChrUPh81OjmBbV7pfnWw"
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TWITTER_ACCESS_SECRET = "D5AdCVRvIhGEmTmXA8hL5ciAUxIqNMZ3K3B3YejpqqNKj"
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TWITTER_BEARER_TOKEN = "AAAAAAAAAAAAAAAAAAAAAGOd0gEAAAAALtv%2BzLsfGLLa5ydUt60ci6J5ce0%3DMBXViJ1NLY4XYdeuMq1xZQ98kHbeGK5lAJoV2j7Ssmcafk8Skn"
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TWITTER_API_IO_KEY = "e3dad005b0e54bdc88c6178a89adec13"
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DEEPSEEK_API_KEY = "sk-8a121704a9bc4ec6a5ab0ae16e0bc0ba"
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# 创建DeepSeek客户端
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deepseek_client = OpenAI(
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api_key=DEEPSEEK_API_KEY,
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base_url="https://api.deepseek.com"
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)
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# 已处理的回复文件
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PROCESSED_REPLIES_FILE = "../../../processed_replies.json"
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# OAuth 1.0a 认证
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def get_oauth():
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return tweepy.OAuth1UserHandler(
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TWITTER_API_KEY,
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TWITTER_API_SECRET,
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TWITTER_ACCESS_TOKEN,
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TWITTER_ACCESS_SECRET
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)
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# 使用高级搜索API获取推文
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def advanced_search_tweets(query_type="Latest", keywords=None, username=None, max_results=10):
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url = "https://api.twitterapi.io/twitter/tweet/advanced_search"
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# 构建查询参数
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params = {
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"queryType": query_type,
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"maxResults": max_results
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}
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# 添加可选参数
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if keywords:
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params["query"] = keywords
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if username:
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params["fromUsers"] = username
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headers = {
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"X-API-Key": TWITTER_API_IO_KEY
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}
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print(f"发送高级搜索请求到 TwitterAPI.io:")
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print(f"URL: {url}")
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print(f"参数: {params}")
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print(f"Headers: {{'X-API-Key': '****' + TWITTER_API_IO_KEY[-4:]}}")
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response = requests.get(url, headers=headers, params=params)
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print(f"响应状态码: {response.status_code}")
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if response.status_code == 200:
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data = response.json()
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print(f"响应数据结构: {list(data.keys() if isinstance(data, dict) else ['非字典'])}")
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# 检查并提取推文
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tweets = []
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if isinstance(data, dict):
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if "tweets" in data:
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tweets = data["tweets"]
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elif "data" in data:
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tweets = data["data"]
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print(f"找到 {len(tweets)} 条推文")
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return data
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else:
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print(f"高级搜索请求失败: {response.status_code}")
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print(response.text[:500]) # 只打印前500个字符，避免过长
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return None
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# 获取用户最新推文 - 使用TwitterAPI.io的user/last_tweets端点
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def get_user_last_tweets(username, count=5):
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url = "https://api.twitterapi.io/twitter/user/last_tweets"
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params = {
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"userName": username,
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"count": count
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}
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headers = {
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"X-API-Key": TWITTER_API_IO_KEY
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}
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print(f"发送请求到 TwitterAPI.io 获取用户推文:")
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print(f"URL: {url}")
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print(f"参数: {params}")
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print(f"Headers: {{'X-API-Key': '****' + TWITTER_API_IO_KEY[-4:]}}")
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try:
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response = requests.get(url, headers=headers, params=params)
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print(f"响应状态码: {response.status_code}")
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print(f"响应前100个字符: {response.text[:100]}")
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if response.status_code == 200:
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data = response.json()
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if "status" in data and data["status"] == "success":
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# 检查是否有推文数据
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if "data" in data and "tweets" in data["data"] and len(data["data"]["tweets"]) > 0:
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print(f"找到 {len(data['data']['tweets'])} 条推文")
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# 把推文数据调整为与原代码兼容的格式
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return {"tweets": data["data"]["tweets"]}
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else:
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print("API返回成功但没有推文数据")
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print(f"响应键: {list(data.keys())}")
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if "data" in data:
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print(f"data键: {list(data['data'].keys())}")
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return None
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else:
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print(f"API返回非成功状态: {data.get('status', 'unknown')}")
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return None
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else:
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print(f"获取推文失败: {response.status_code}")
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print(response.text[:500]) # 只打印前500个字符
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return None
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except Exception as e:
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print(f"获取用户推文时出错: {str(e)}")
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print("尝试使用高级搜索API作为备选方案...")
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# 作为备选方案，使用高级搜索API
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return advanced_search_tweets(
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query_type="Latest",
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username=username,
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max_results=count
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)
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# 获取推文回复
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def get_tweet_replies(tweet_id, count=10):
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url = "https://api.twitterapi.io/twitter/tweet/replies"
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params = {
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"tweetId": tweet_id,
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"count": count
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}
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headers = {
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"X-API-Key": TWITTER_API_IO_KEY
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}
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print(f"获取推文 {tweet_id} 的回复...")
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print(f"URL: {url}")
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print(f"参数: {params}")
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response = requests.get(url, headers=headers, params=params)
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print(f"响应状态码: {response.status_code}")
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if response.status_code == 200:
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reply_data = response.json()
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print(f"回复数据结构: {list(reply_data.keys() if isinstance(reply_data, dict) else ['非字典'])}")
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if isinstance(reply_data, dict) and "tweets" in reply_data:
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print(f"找到 {len(reply_data['tweets'])} 条回复")
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return reply_data
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else:
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print(f"获取回复失败: {response.status_code}")
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print(response.text[:500]) # 只打印前500个字符
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return None
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# 使用DeepSeek生成回复内容
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def generate_reply(tweet_content, reply_content):
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prompt = f"""
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我收到了以下推文和回复:
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我的推文: "{tweet_content}"
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用户的回复: "{reply_content}"
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请生成一个友好且相关的回复，不超过200个字符。回复应该表达感谢并继续对话。不要包含字符数或其他元信息。
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"""
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try:
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response = deepseek_client.chat.completions.create(
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model="deepseek-chat",
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messages=[
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{"role": "system", "content": "你是一个友好的社交媒体助手，擅长简短而有趣的回复。"},
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{"role": "user", "content": prompt},
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],
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stream=False
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)
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reply = response.choices[0].message.content.strip()
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print(f"生成的回复: {reply}")
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return reply[:200] # 确保不超过200字符
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except Exception as e:
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print(f"生成回复失败: {e}")
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return "谢谢你的回复！"
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# 获取自身user_id
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def get_my_user_id():
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user = tweepy.Client(
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consumer_key=TWITTER_API_KEY,
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consumer_secret=TWITTER_API_SECRET,
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access_token=TWITTER_ACCESS_TOKEN,
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access_token_secret=TWITTER_ACCESS_SECRET
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).get_me()
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return user.data.id
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# 点赞推文
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def like_tweet(tweet_id):
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try:
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tweepy.Client(
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consumer_key=TWITTER_API_KEY,
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consumer_secret=TWITTER_API_SECRET,
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access_token=TWITTER_ACCESS_TOKEN,
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access_token_secret=TWITTER_ACCESS_SECRET
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).like(tweet_id)
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print(f"成功点赞推文: {tweet_id}")
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return True
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except Exception as e:
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print(f"点赞失败: {e}")
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return False
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# 回复推文
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def reply_to_tweet(tweet_id, reply_text):
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try:
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tweepy.Client(
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consumer_key=TWITTER_API_KEY,
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consumer_secret=TWITTER_API_SECRET,
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access_token=TWITTER_ACCESS_TOKEN,
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access_token_secret=TWITTER_ACCESS_SECRET
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).create_tweet(in_reply_to_tweet_id=tweet_id, text=reply_text)
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print(f"成功回复: {tweet_id}")
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return True
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except Exception as e:
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print(f"回复失败: {e}")
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return False
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# 加载已处理的回复
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def load_processed_replies():
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try:
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if os.path.exists(PROCESSED_REPLIES_FILE):
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with open(PROCESSED_REPLIES_FILE, "r") as f:
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data = json.load(f)
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return data
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return {}
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except Exception as e:
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print(f"加载已处理回复时出错: {e}")
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return {}
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# 保存已处理的回复
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def save_processed_replies(processed_replies_dict):
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try:
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with open(PROCESSED_REPLIES_FILE, "w") as f:
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json.dump(processed_replies_dict, f)
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print(f"成功保存已处理的回复到 {PROCESSED_REPLIES_FILE}")
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except Exception as e:
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print(f"保存已处理回复时出错: {e}")
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# 处理回复函数
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def process_replies(replies, tweet_content, your_username, tweet_id, processed_replies_dict, my_user_id):
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if tweet_id not in processed_replies_dict:
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processed_replies_dict[tweet_id] = []
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processed_replies = set(processed_replies_dict[tweet_id])
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print("检查回复数据结构...")
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print(f"回复类型: {type(replies)}")
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# 尝试提取回复列表
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reply_items = []
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if isinstance(replies, dict):
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if "tweets" in replies and isinstance(replies["tweets"], list):
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reply_items = replies["tweets"]
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print(f"使用 tweets 字段，找到 {len(reply_items)} 条回复")
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elif "data" in replies:
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data = replies["data"]
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if isinstance(data, list):
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reply_items = data
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print(f"使用 data 字段，找到 {len(reply_items)} 条回复")
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if not reply_items:
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print("未能找到回复项")
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return
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for reply in reply_items:
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try:
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# 提取回复信息
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reply_id = reply.get("id") or reply.get("id_str")
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if not reply_id:
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print("无法获取回复ID，跳过")
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continue
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reply_content = reply.get("text", "") or reply.get("full_text", "") or reply.get("content", "")
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# 提取作者信息
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reply_author = None
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if "user" in reply and isinstance(reply["user"], dict):
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reply_author = reply["user"].get("username") or reply["user"].get("screen_name")
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elif "username" in reply:
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reply_author = reply["username"]
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if not reply_author:
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print(f"无法获取回复作者，使用默认值")
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reply_author = "unknown_user"
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print(f"\n处理回复: ID={reply_id}, 作者={reply_author}")
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print(f"回复内容: {reply_content}")
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# 跳过自己的回复或已处理的回复
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if reply_author.lower() == your_username.lower():
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print("跳过自己的回复")
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continue
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if reply_id in processed_replies:
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print("跳过已处理的回复")
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continue
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# 点赞回复
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like_result = like_tweet(reply_id)
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# 生成回复内容
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generated_reply = generate_reply(tweet_content, reply_content)
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# 回复推文
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reply_result = reply_to_tweet(reply_id, generated_reply)
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if like_result and reply_result:
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processed_replies.add(reply_id)
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processed_replies_dict[tweet_id] = list(processed_replies)
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save_processed_replies(processed_replies_dict)
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time.sleep(2) # 点赞/回复间隔
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except Exception as e:
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print(f"处理回复时出错: {e}")
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continue
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# 主函数
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def main():
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print("Twitter留言点赞+回复机器人启动 [Tweepy版]")
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processed_replies_dict = load_processed_replies()
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your_username = "GWAaiagent" # 修改为你的Twitter用户名
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my_user_id = get_my_user_id()
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if not my_user_id:
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print("无法获取自身user_id，程序退出")
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return
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tweets_data = get_user_last_tweets(your_username, count=5)
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if not tweets_data or "tweets" not in tweets_data or not tweets_data["tweets"]:
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print("无法获取最近推文")
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return
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# 只处理最多5条推文，防止API超量返回
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if 'tweets' in tweets_data and len(tweets_data['tweets']) > 5:
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tweets_data['tweets'] = tweets_data['tweets'][:5]
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for tweet in tweets_data["tweets"]:
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tweet_id = tweet["id"]
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tweet_content = tweet.get("text", "") or tweet.get("full_text", "")
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if not tweet_content:
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continue
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print(f"\n处理推文: {tweet_id}")
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replies = get_tweet_replies(tweet_id)
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if replies:
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process_replies(replies, tweet_content, your_username, tweet_id, processed_replies_dict, my_user_id)
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else:
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print(f"推文 {tweet_id} 没有留言")
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time.sleep(3) # 推文处理间隔
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if __name__ == "__main__":
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try:
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main()
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except Exception as e:
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print(f"程序异常: {e}")
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195
TweetsBot.py
Normal file
195
TweetsBot.py
Normal file
@@ -0,0 +1,195 @@
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import os
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from openai import OpenAI
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import tweepy
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import logging
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import requests
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# 配置日志
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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handlers=[logging.FileHandler("../../../../twitter_user_bot.log"), logging.StreamHandler()]
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)
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logger = logging.getLogger("TwitterUserBot")
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class TwitterUserBot:
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def __init__(self):
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"""初始化Twitter和用户推文总结机器人"""
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try:
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# 初始化OpenAI客户端
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self.openai_client = OpenAI(
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api_key="sk-8a121704a9bc4ec6a5ab0ae16e0bc0ba", # 替换为DeepSeek的API密钥
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base_url="https://api.deepseek.com"
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)
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# Twitter API凭证
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self.api_key = "3nt1jN4VvqUaaXGHv9AN5VsTV"
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self.api_secret = "M2io73S7TzitFiBw825QIq8atyZRljbIDQuTpH39uFZanQ4XFh"
|
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self.access_token = "1944636908-prxfjL6OIb56BQjuFTdChrUPh81OjmBbV7pfnWw"
|
||||
self.access_secret = "D5AdCVRvIhGEmTmXA8hL5ciAUxIqNMZ3K3B3YejpqqNKj"
|
||||
self.bearer_token = "AAAAAAAAAAAAAAAAAAAAAGOd0gEAAAAALtv%2BzLsfGLLa5ydUt60ci6J5ce0%3DMBXViJ1NLY4XYdeuMq1xZQ98kHbeGK5lAJoV2j7Ssmcafk8Skn"
|
||||
|
||||
# 初始化Twitter客户端（用于发送）
|
||||
self.twitter_client = tweepy.Client(
|
||||
bearer_token=self.bearer_token,
|
||||
consumer_key=self.api_key,
|
||||
consumer_secret=self.api_secret,
|
||||
access_token=self.access_token,
|
||||
access_token_secret=self.access_secret
|
||||
)
|
||||
|
||||
# 调试信息
|
||||
logger.info("TwitterUserBot 初始化成功")
|
||||
logger.info(f"Twitter API密钥长度: {len(self.api_key)}")
|
||||
logger.info(f"Twitter API秘钥长度: {len(self.api_secret)}")
|
||||
logger.info(f"Twitter Access Token长度: {len(self.access_token)}")
|
||||
logger.info(f"Twitter Access Secret长度: {len(self.access_secret)}")
|
||||
except Exception as e:
|
||||
logger.error(f"初始化失败: {str(e)}")
|
||||
raise
|
||||
|
||||
def get_user_tweets(self, username):
|
||||
"""获取指定用户的最近5条推文，使用 twitterapi.io 的 advanced_search 端点"""
|
||||
username = username.lstrip('@')
|
||||
|
||||
url = "https://api.twitterapi.io/twitter/tweet/advanced_search"
|
||||
headers = {"X-API-Key": "e3dad005b0e54bdc88c6178a89adec13"}
|
||||
params = {
|
||||
"queryType": "Latest",
|
||||
"query": f"from:{username}",
|
||||
"count": 5
|
||||
}
|
||||
try:
|
||||
logger.info(f"请求URL: {url}")
|
||||
logger.info(f"请求头: {headers}")
|
||||
logger.info(f"请求参数: {params}")
|
||||
|
||||
response = requests.get(url, headers=headers, params=params)
|
||||
logger.info(f"响应状态码: {response.status_code}")
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
# 优化日志输出，只打印关键信息
|
||||
tweets = data.get("tweets", [])
|
||||
if tweets:
|
||||
for tweet in tweets:
|
||||
tweet_id = tweet.get("id")
|
||||
created_at = tweet.get("createdAt")
|
||||
text = tweet.get("text", "")[:100]
|
||||
logger.info(f"推文ID: {tweet_id}，时间: {created_at}，内容: {text}...")
|
||||
tweet_texts = [tweet["text"] for tweet in tweets]
|
||||
logger.info(f"成功获取用户 '{username}' 的 {len(tweet_texts)} 条推文")
|
||||
return "\n".join(tweet_texts)
|
||||
else:
|
||||
logger.warning(f"没有找到用户 '{username}' 的推文")
|
||||
return None
|
||||
else:
|
||||
logger.error(f"API 请求失败，状态码: {response.status_code}")
|
||||
try:
|
||||
error_content = response.text
|
||||
logger.error(f"错误内容: {error_content}")
|
||||
except:
|
||||
pass
|
||||
return None
|
||||
except Exception as e:
|
||||
logger.error(f"获取用户推文失败: {str(e)}")
|
||||
return None
|
||||
|
||||
def generate_summary(self, tweet_content, username):
|
||||
"""根据推文内容生成总结，以序号分隔并控制长度，删除不完整的要点，使用简体字"""
|
||||
try:
|
||||
# 计算最大摘要长度
|
||||
prefix = f"{username} 的最近推文摘要："
|
||||
max_tweet_length = 280
|
||||
max_summary_length = max_tweet_length - len(prefix) - 1
|
||||
|
||||
# 要求 AI 以序号分隔格式生成摘要，使用简体字，并控制长度
|
||||
completion = self.openai_client.chat.completions.create(
|
||||
model="deepseek-chat",
|
||||
messages=[
|
||||
{"role": "system", "content": "You are a helpful assistant"},
|
||||
{"role": "user",
|
||||
"content": f"请总结用户 @{username} 以下5条推文的主要内容，必须使用简体中文，总结必须以序号（1.、2.、...）分隔每条要点，每条要点简洁明了且以句号或感叹号结尾，总长度不得超过 {max_summary_length} 字符（包括标点、空格和换行符），不要添加字数统计：\n{tweet_content}"}
|
||||
],
|
||||
stream=False
|
||||
)
|
||||
|
||||
# 直接获取完整内容
|
||||
summary_content = completion.choices[0].message.content if hasattr(completion.choices[0], 'message') else ''
|
||||
|
||||
# 确保返回的内容不超过限制
|
||||
summary = summary_content.strip()
|
||||
if len(summary) > max_summary_length:
|
||||
summary = summary[:max_summary_length]
|
||||
|
||||
# 检查并删除不完整的最后一条要点
|
||||
lines = summary.split('\n')
|
||||
if lines:
|
||||
last_line = lines[-1]
|
||||
# 检查最后一条是否以句号、感叹号或问号结尾
|
||||
if not last_line.endswith(('。', '！', '？', '.')):
|
||||
# 如果不完整，删除最后一条
|
||||
lines.pop()
|
||||
summary = '\n'.join(lines)
|
||||
|
||||
return summary
|
||||
except Exception as e:
|
||||
logger.error(f"生成总结失败: {str(e)}")
|
||||
return None
|
||||
|
||||
def send_tweet(self, summary, username):
|
||||
"""发送推文"""
|
||||
try:
|
||||
prefix = f"{username} 的最近推文摘要："
|
||||
text = f"{prefix}\n{summary}"
|
||||
|
||||
logger.info(f"准备发送推文: {text}")
|
||||
logger.info(f"推文长度: {len(text)} 字符")
|
||||
|
||||
response = self.twitter_client.create_tweet(text=text)
|
||||
tweet_id = response.data['id'] if hasattr(response, 'data') and 'id' in response.data else "未知"
|
||||
logger.info(f"推文发送成功，ID: {tweet_id}")
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.error(f"发送推文失败: {str(e)}")
|
||||
return False
|
||||
|
||||
def run(self):
|
||||
"""运行机器人：获取用户推文，生成总结并发送"""
|
||||
try:
|
||||
username = input("请输入用户名（不含@符号）：")
|
||||
logger.info(f"接收到用户名: {username}")
|
||||
|
||||
tweet_content = self.get_user_tweets(username)
|
||||
if not tweet_content:
|
||||
logger.error("无法获取用户推文，退出")
|
||||
print(f"未找到用户 @{username} 的推文，程序退出。")
|
||||
return
|
||||
|
||||
logger.info(f"获取到的用户推文内容: \n{tweet_content}")
|
||||
print(f"成功获取 @{username} 的推文内容")
|
||||
|
||||
print(f"正在使用AI对推文内容进行总结...")
|
||||
summary = self.generate_summary(tweet_content, username)
|
||||
if not summary:
|
||||
logger.error("无法生成总结，退出")
|
||||
print("生成总结失败，程序退出。")
|
||||
return
|
||||
|
||||
logger.info(f"生成总结: {summary}")
|
||||
print(f"总结生成成功: {summary}")
|
||||
|
||||
print("正在发送总结到Twitter...")
|
||||
success = self.send_tweet(summary, username)
|
||||
if success:
|
||||
print(f"关于 @{username} 的推文摘要已成功发送！")
|
||||
else:
|
||||
print("发送推文失败，请检查日志。")
|
||||
except Exception as e:
|
||||
logger.error(f"运行时出错: {str(e)}")
|
||||
print(f"发生错误: {str(e)}")
|
||||
print("更多详细信息请查看日志。")
|
||||
|
||||
if __name__ == "__main__":
|
||||
bot = TwitterUserBot()
|
||||
bot.run()
|
||||
Reference in New Issue
Block a user