class_docstr: SnowFlake connectors are used to connect to SnowFlake Data Cloud.
class_docstr_tok: ["SnowFlake","connectors","are","used","to","connect","to","SnowFlake","Data","Cloud","."]
docstr: Initialize the SnowFlake connector with the given configuration.
  
  Args:
      config (ConnectorConfig): The configuration for the SnowFlake connector.
docstr_tok: ["Initialize","the","SnowFlake","connector","with","the","given","configuration",".","Args",":","config","(","ConnectorConfig",")",":","The","configuration","for","the","SnowFlake","connector","."]
code: def __init__(self, config: Union[SnowFlakeConnectorConfig, dict]):
      """
      Initialize the SnowFlake connector with the given configuration.
  
      Args:
          config (ConnectorConfig): The configuration for the SnowFlake connector.
      """
      config["dialect"] = "snowflake"
  
      if isinstance(config, dict):
          snowflake_env_vars = {
              "account": "SNOWFLAKE_HOST",
              "database": "SNOWFLAKE_DATABASE",
              "warehouse": "SNOWFLAKE_WAREHOUSE",
              "dbSchema": "SNOWFLAKE_SCHEMA",
              "username": "SNOWFLAKE_USERNAME",
              "password": "SNOWFLAKE_PASSWORD",
          }
          config = self._populate_config_from_env(
              config, snowflake_env_vars
          )
  
      super().__init__(config)
  
file_path: pandas-ai/pandasai/connectors/snowflake.py
imports: import pandas
  from .base import BaseConnectorConfig, SnowFlakeConnectorConfig
  from sqlalchemy import create_engine
  from functools import cache
  from typing import Union
  from .sql import SQLConnector
label_desc: Use image node_id 1 to create a new SnowFlakeConnector object from inherited base classes: SQLConnector with example: obj = SnowFlakeConnector(config)