Squashed 'packages/tools/' content from commit 78317b9c

git-subtree-dir: packages/tools
git-subtree-split: 78317b9c127f18bd040c1d77e3c0840cdc9a5b38

crewai_tools/tools/website_search/website_search_tool.py

@@ -0,0 +1,58 @@
+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)