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e16606672a
git-subtree-dir: packages/tools git-subtree-split: 78317b9c127f18bd040c1d77e3c0840cdc9a5b38
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
from typing import Optional, Type
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from pydantic import BaseModel, Field
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try:
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from embedchain.models.data_type import DataType
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EMBEDCHAIN_AVAILABLE = True
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except ImportError:
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EMBEDCHAIN_AVAILABLE = False
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from ..rag.rag_tool import RagTool
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class FixedPDFSearchToolSchema(BaseModel):
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"""Input for PDFSearchTool."""
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query: str = Field(
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..., description="Mandatory query you want to use to search the PDF's content"
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)
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class PDFSearchToolSchema(FixedPDFSearchToolSchema):
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"""Input for PDFSearchTool."""
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pdf: str = Field(..., description="File path or URL of a PDF file to be searched")
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class PDFSearchTool(RagTool):
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name: str = "Search a PDF'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 PDF's content."
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)
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args_schema: Type[BaseModel] = PDFSearchToolSchema
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def __init__(self, pdf: Optional[str] = None, **kwargs):
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super().__init__(**kwargs)
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if pdf is not None:
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self.add(pdf)
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self.description = f"A tool that can be used to semantic search a query the {pdf} PDF's content."
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self.args_schema = FixedPDFSearchToolSchema
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self._generate_description()
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def add(self, pdf: str) -> None:
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if not EMBEDCHAIN_AVAILABLE:
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raise ImportError("embedchain is not installed. Please install it with `pip install crewai-tools[embedchain]`")
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super().add(pdf, data_type=DataType.PDF_FILE)
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def _run(
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self,
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query: str,
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pdf: Optional[str] = None,
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) -> str:
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if pdf is not None:
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self.add(pdf)
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return super()._run(query=query)
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