very much work in progress version

src/crewai_tools/tools/csv_search_tool/csv_search_tool.py

@@ -0,0 +1,40 @@
+from typing import Optional, Type, Any
+from pydantic.v1 import BaseModel, Field
+
+from embedchain import App
+from embedchain.models.data_type import DataType
+
+from ..rag.rag_tool import RagTool
+
+
+class FixedCSVSearchToolSchema(BaseModel):
+	"""Input for CSVSearchTool."""
+	search_query: str = Field(..., description="Mandatory search query you want to use to search the CSV's content")
+
+class CSVSearchToolSchema(FixedCSVSearchToolSchema):
+	"""Input for CSVSearchTool."""
+	pdf: str = Field(..., description="Mandatory csv path you want to search")
+
+class CSVSearchTool(RagTool):
+	name: str = "Search a CSV's content"
+	description: str = "A tool that can be used to semantic search a query from a CSV's content."
+	summarize: bool = False
+	args_schema: Type[BaseModel] = CSVSearchToolSchema
+	csv: Optional[str] = None
+
+	def __init__(self, csv: Optional[str] = None, **kwargs):
+		super().__init__(**kwargs)
+		if csv is not None:
+			self.csv = csv
+			self.description = f"A tool that can be used to semantic search a query the {csv} CSV's content."
+			self.args_schema = FixedCSVSearchToolSchema
+
+	def _run(
+		self,
+		search_query: str,
+		**kwargs: Any,
+	) -> Any:
+		csv = kwargs.get('csv', self.csv)
+		self.app = App()
+		self.app.add(csv, data_type=DataType.CSV)
+		return super()._run(query=search_query)