Source code for langchain.agents.agent_toolkits.spark_sql.toolkit
"""Toolkit for interacting with Spark SQL."""
from typing import List
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.pydantic_v1 import Field
from langchain.schema.language_model import BaseLanguageModel
from langchain.tools import BaseTool
from langchain.tools.spark_sql.tool import (
    InfoSparkSQLTool,
    ListSparkSQLTool,
    QueryCheckerTool,
    QuerySparkSQLTool,
)
from langchain.utilities.spark_sql import SparkSQL
[docs]class SparkSQLToolkit(BaseToolkit):
    """Toolkit for interacting with Spark SQL."""
    db: SparkSQL = Field(exclude=True)
    llm: BaseLanguageModel = Field(exclude=True)
    class Config:
        """Configuration for this pydantic object."""
        arbitrary_types_allowed = True
[docs]    def get_tools(self) -> List[BaseTool]:
        """Get the tools in the toolkit."""
        return [
            QuerySparkSQLTool(db=self.db),
            InfoSparkSQLTool(db=self.db),
            ListSparkSQLTool(db=self.db),
            QueryCheckerTool(db=self.db, llm=self.llm),
        ]