用AI在开源情报方向养号

def get_tip() -> Optional[str]:response = openai.ChatCompletion.create(model="gpt-3.5-turbo-16k",messages=[{"role": "system", "content":"You are a human knowledgeable in ""cybersecurity, programming and AI."},{"role": "user", "content":"Can you give me a tweet-length ""cybersecurity, programming or AI tip ""(or trivia)? It can also be a pun."}])return response.choices[0].message['content']

# 环境变量设置openai_api_key = os.getenv('OPENAI_API_KEY')x_api_key = os.getenv('X_API_KEY')x_api_secret_key = os.getenv('X_API_SEC')x_access_token = os.getenv('X_ACC_TOKEN')x_access_token_secret = os.getenv('X_ACC_TOKEN_SEC')x_bearer_token = os.getenv('X_BEARER_TOKEN')# 初如化OpenAIopenai.api_key = openai_api_key

def post_to_twitter(message: str) -> None:client = tweepy.Client(consumer_key=x_api_key,consumer_secret=x_api_secret_key,access_token=x_access_token,access_token_secret=x_access_token_secret,bearer_token=x_bearer_token)client.create_tweet(text=message)

if __name__ == "__main__":if random.randint(1, 100) == 1:tip = get_tip()if tip:delay_minutes = random.randint(0, 60)time.sleep(delay_minutes * 60)post_to_twitter(tip)

import osimport openaiimport tweepyimport loggingimport randomimport timefrom typing import Optional

# Setup logging to write to a filelogging.basicConfig(filename='cybersecurity_tips_log.txt',                     level=logging.INFO,                     format='%(asctime)s - %(message)s')

# Load environment variablesopenai_api_key: str = os.getenv('SOCK_PUPPET_OPENAI_API_KEY')twitter_api_key: str = os.getenv('SOCK_PUPPET_TWITTER_API_KEY')twitter_api_secret_key: str = os.getenv('SOCK_PUPPET_TWITTER_API_SECRET')twitter_access_token: str = os.getenv('SOCK_PUPPET_TWITTER_ACCESS_TOKEN')twitter_access_token_secret: str = os.getenv('SOCK_PUPPET_TWITTER_ACCESS_TOKEN_SECRET')twitter_bearer_token: str = os.getenv('SOCK_PUPPET_TWITTER_BEARER_TOKEN')

# Initialize OpenAIopenai.api_key = openai_api_key



def get_tip() -> Optional[str]:    try:        response = openai.ChatCompletion.create(            model="gpt-3.5-turbo-16k",            messages=[                {"role": "system", "content": "You are a human knowledgeable in "                                              "cybersecurity, programming and AI."},                {"role": "user", "content": "Can you give me a tweet-length "                                            "cybersecurity, programming or AI tip "                                            "(or trivia)? It can also be a pun."}            ]        )        # Remember to remove the double quotes from the response!        return response.choices[0].message['content'].replace('"', '')    except Exception as e:        logging.error(f"Error in fetching cybersecurity tip: {e}")        return None



def post_to_twitter(message: str) -> None:    try:        client = tweepy.Client(            consumer_key=twitter_api_key,            consumer_secret=twitter_api_secret_key,            access_token=twitter_access_token,            access_token_secret=twitter_access_token_secret,            bearer_token=twitter_bearer_token        )        client.create_tweet(text=message)        logging.info(f"Cybersecurity tip posted on Twitter: {message}")    except Exception as e:        logging.error(f"Error in posting to Twitter: {e}")



if __name__ == "__main__":    if random.randint(1, 100) == 1:        tip = get_tip()

        if tip:            delay_minutes = random.randint(0, 60)            logging.info(f"Waiting for {delay_minutes} minutes before posting")            time.sleep(delay_minutes * 60)  # Convert minutes to seconds            post_to_twitter(tip)        else:            logging.info("No cybersecurity tip was posted.")    else:        logging.info("Script did not run this time.")