class_docstr: Cache class for caching queries. It is used to cache queries
  to save time and money.
  
  Args:
      filename (str): filename to store the cache.
docstr: Get a value from the cache.
  
  Args:
      key (str): key to get the value from the cache.
  
  Returns:
      str: value from the cache.
docstr_tok: ["Get","a","value","from","the","cache",".","Args",":","key","(","str",")",":","key","to","get","the","value","from","the","cache",".","Returns",":","str",":","value","from","the","cache","."]
code: def get(self, key: str) -> str:
      """Get a value from the cache.
  
      Args:
          key (str): key to get the value from the cache.
  
      Returns:
          str: value from the cache.
      """
      result = self.connection.execute(
          "SELECT value FROM cache WHERE key=?",
          [self.versioned_key(key)],
      )
      return row[0] if (row := result.fetchone()) else None
  
file_path: pandas-ai/pandasai/helpers/cache.py
imports: import os
  import glob
  from typing import Any
  import duckdb
  from .path import find_project_root
  from ..constants import DEFAULT_FILE_PERMISSIONS, CACHE_TOKEN
label_desc: Use image node_id 4 for calling the Cache obj's underlying member method code with example usage: obj.get(key) and returns: unknown