## Usage as a PyPI Package

Once this module is published to PyPI, it can be easily integrated into other projects. Here's how you can use it in your codebase:

1. **Installation**

   First, install the package using pip:

   ```bash
   pip install masa-ai-tools
   ```

2. **Importing and Using the Validator**

   You can then import and use the `TweetValidator` in your Python code:

   ```python
   from masa_ai.tools.validator import TweetValidator

   # Create an instance of TweetValidator
   validator = TweetValidator()

   # Validate a tweet
   tweet_id = "1234567890"
   expected_username = "example_user"
   is_valid = validator.validate_tweet(tweet_id, expected_username)

   if is_valid:
       print(f"Tweet {tweet_id} is valid and posted by {expected_username}")
   else:
       print(f"Tweet {tweet_id} validation failed")
   ```

3. **Using the Main Function**

   Alternatively, you can use the `main` function for a quick validation:

   ```python
   from masa_ai.tools.validator.main import main as validate_main

   tweet_id = "1234567890"
   expected_username = "example_user"
   result = validate_main(tweet_id, expected_username)

   print(f"Validation result: {result}")
   ```

4. **Configuring Logging**

   The validator uses `loguru` for logging. You can configure the logging in your application:

   ```python
   from loguru import logger

   # Configure logging as needed
   logger.add("your_app_log.log", rotation="10 MB")

   # Then use the validator as shown above
   ```

By integrating this package, you can easily add tweet validation functionality to your projects without having to implement the Twitter API interaction and validation logic yourself.