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61 lines
1.7 KiB
Python
61 lines
1.7 KiB
Python
from typing import Any, Optional, Type
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from embedchain.models.data_type import DataType
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from pydantic import BaseModel, Field
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from ..rag.rag_tool import RagTool
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class FixedWebsiteSearchToolSchema(BaseModel):
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"""Input for WebsiteSearchTool."""
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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 a specific website",
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)
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class WebsiteSearchToolSchema(FixedWebsiteSearchToolSchema):
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"""Input for WebsiteSearchTool."""
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website: str = Field(
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..., description="Mandatory valid website URL you want to search on"
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)
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class WebsiteSearchTool(RagTool):
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name: str = "Search in a specific website"
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description: str = "A tool that can be used to semantic search a query from a specific URL content."
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args_schema: Type[BaseModel] = WebsiteSearchToolSchema
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def __init__(self, website: Optional[str] = None, **kwargs):
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super().__init__(**kwargs)
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if website is not None:
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kwargs["data_type"] = DataType.WEB_PAGE
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self.add(website)
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self.description = f"A tool that can be used to semantic search a query from {website} website content."
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self.args_schema = FixedWebsiteSearchToolSchema
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self._generate_description()
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def add(
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self,
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*args: Any,
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**kwargs: Any,
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) -> None:
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super().add(*args, **kwargs)
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def _before_run(
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self,
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query: str,
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**kwargs: Any,
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) -> Any:
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if "website" in kwargs:
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self.add(kwargs["website"])
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def _run(
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self,
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search_query: str,
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**kwargs: Any,
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) -> Any:
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return super()._run(query=search_query, **kwargs)
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