Files
crewAI/crewai_tools/tools/website_search/website_search_tool.py
Greyson Lalonde e16606672a Squashed 'packages/tools/' content from commit 78317b9c
git-subtree-dir: packages/tools
git-subtree-split: 78317b9c127f18bd040c1d77e3c0840cdc9a5b38
2025-09-12 21:58:02 -04:00

59 lines
1.8 KiB
Python

from typing import Any, Optional, Type
try:
from embedchain.models.data_type import DataType
EMBEDCHAIN_AVAILABLE = True
except ImportError:
EMBEDCHAIN_AVAILABLE = False
from pydantic import BaseModel, Field
from ..rag.rag_tool import RagTool
class FixedWebsiteSearchToolSchema(BaseModel):
"""Input for WebsiteSearchTool."""
search_query: str = Field(
...,
description="Mandatory search query you want to use to search a specific website",
)
class WebsiteSearchToolSchema(FixedWebsiteSearchToolSchema):
"""Input for WebsiteSearchTool."""
website: str = Field(
..., description="Mandatory valid website URL you want to search on"
)
class WebsiteSearchTool(RagTool):
name: str = "Search in a specific website"
description: str = (
"A tool that can be used to semantic search a query from a specific URL content."
)
args_schema: Type[BaseModel] = WebsiteSearchToolSchema
def __init__(self, website: Optional[str] = None, **kwargs):
super().__init__(**kwargs)
if website is not None:
self.add(website)
self.description = f"A tool that can be used to semantic search a query from {website} website content."
self.args_schema = FixedWebsiteSearchToolSchema
self._generate_description()
def add(self, website: str) -> None:
if not EMBEDCHAIN_AVAILABLE:
raise ImportError("embedchain is not installed. Please install it with `pip install crewai-tools[embedchain]`")
super().add(website, data_type=DataType.WEB_PAGE)
def _run(
self,
search_query: str,
website: Optional[str] = None,
) -> str:
if website is not None:
self.add(website)
return super()._run(query=search_query)