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Upgrade to using a literal for specifying the extra which is the recommended approach in pydantic 2. This works correctly also in pydantic v1. ```python from pydantic.v1 import BaseModel class Foo(BaseModel, extra="forbid"): x: int Foo(x=5, y=1) ``` And ```python from pydantic.v1 import BaseModel class Foo(BaseModel): x: int class Config: extra = "forbid" Foo(x=5, y=1) ``` ## Enum -> literal using grit pattern: ``` engine marzano(0.1) language python or { `extra=Extra.allow` => `extra="allow"`, `extra=Extra.forbid` => `extra="forbid"`, `extra=Extra.ignore` => `extra="ignore"` } ``` Resorted attributes in config and removed doc-string in case we will need to deal with going back and forth between pydantic v1 and v2 during the 0.3 release. (This will reduce merge conflicts.) ## Sort attributes in Config: ``` engine marzano(0.1) language python function sort($values) js { return $values.text.split(',').sort().join("\n"); } class_definition($name, $body) as $C where { $name <: `Config`, $body <: block($statements), $values = [], $statements <: some bubble($values) assignment() as $A where { $values += $A }, $body => sort($values), } ```
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
"""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_core.tools 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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Parameters:
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db: SparkSQL. The Spark SQL database.
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llm: BaseLanguageModel. The language model.
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"""
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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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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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