mirror of
https://github.com/hwchase17/langchain
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37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
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"""Toolkit for interacting with Spark SQL."""
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from typing import List
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from langchain_core.language_models import BaseLanguageModel
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from langchain_core.pydantic_v1 import Field
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from langchain_community.agent_toolkits.base import BaseToolkit
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from langchain_community.tools import BaseTool
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from langchain_community.tools.spark_sql.tool import (
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InfoSparkSQLTool,
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ListSparkSQLTool,
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QueryCheckerTool,
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QuerySparkSQLTool,
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)
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from langchain_community.utilities.spark_sql import SparkSQL
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class SparkSQLToolkit(BaseToolkit):
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"""Toolkit for interacting with Spark SQL."""
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db: SparkSQL = Field(exclude=True)
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llm: BaseLanguageModel = Field(exclude=True)
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class Config:
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"""Configuration for this pydantic object."""
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arbitrary_types_allowed = True
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def get_tools(self) -> List[BaseTool]:
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"""Get the tools in the toolkit."""
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return [
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QuerySparkSQLTool(db=self.db),
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InfoSparkSQLTool(db=self.db),
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ListSparkSQLTool(db=self.db),
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QueryCheckerTool(db=self.db, llm=self.llm),
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]
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