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https://github.com/crewAIInc/crewAI.git
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c960f26601
0b3f00e6 chore: update project version to 0.73.0 and revise uv.lock dependencies (#455) ad19b074 feat: replace embedchain with native crewai adapter (#451) git-subtree-dir: packages/tools git-subtree-split: 0b3f00e67c0dae24d188c292dc99759fd1c841f7
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
from typing import Optional, Type
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from pydantic import BaseModel, Field
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from ..rag.rag_tool import RagTool
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from crewai_tools.rag.data_types import DataType
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class FixedCSVSearchToolSchema(BaseModel):
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"""Input for CSVSearchTool."""
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search_query: str = Field(
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...,
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description="Mandatory search query you want to use to search the CSV's content",
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)
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class CSVSearchToolSchema(FixedCSVSearchToolSchema):
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"""Input for CSVSearchTool."""
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csv: str = Field(..., description="File path or URL of a CSV file to be searched")
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class CSVSearchTool(RagTool):
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name: str = "Search a CSV's content"
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description: str = (
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"A tool that can be used to semantic search a query from a CSV's content."
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)
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args_schema: Type[BaseModel] = CSVSearchToolSchema
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def __init__(self, csv: Optional[str] = None, **kwargs):
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super().__init__(**kwargs)
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if csv is not None:
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self.add(csv)
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self.description = f"A tool that can be used to semantic search a query the {csv} CSV's content."
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self.args_schema = FixedCSVSearchToolSchema
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self._generate_description()
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def add(self, csv: str) -> None:
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super().add(csv, data_type=DataType.CSV)
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def _run(
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self,
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search_query: str,
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csv: Optional[str] = None,
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similarity_threshold: float | None = None,
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limit: int | None = None,
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) -> str:
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if csv is not None:
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self.add(csv)
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return super()._run(query=search_query, similarity_threshold=similarity_threshold, limit=limit)
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