feat(tool): add excel_to_text tool for converting Excel data to text

ShrewdAgent.py

@@ -13,6 +13,7 @@ from langgraph.pregel import PregelProtocol
 from loguru import logger
 from pydantic import SecretStr
 
+from tools.excel_to_text import excel_to_text
 from tools.produce_classifier import produce_classifier
 from tools.sort_words_alphabetically import sort_words_alphabetically
 from tools.web_page_information_extractor import web_page_information_extractor
@@ -45,7 +46,8 @@ class ShrewdAgent:
             web_page_information_extractor,
             youtube_transcript,
             produce_classifier,
-            sort_words_alphabetically
+            sort_words_alphabetically,
+            excel_to_text,
         ]
         self.llm = ChatOpenAI(
             model="gpt-4o-mini",

tools/excel_to_text.py

@@ -0,0 +1,32 @@
+import pandas as pd
+from langchain_core.tools import tool
+from loguru import logger
+
+from tools.load_file import load_file
+
+
+@tool("excel_to_text_tool", parse_docstring=True)
+def excel_to_text(path_or_url: str) -> str:
+    """
+    Read an Excel file and return a text representation of the table data.
+
+    Args:
+        path_or_url (str): Either a local file path to an Excel file or a URL pointing to an Excel file.
+
+    Returns:
+        str: Text representation of the table data
+    """
+    logger.info(f"use excel_to_text with param: {path_or_url}")
+    try:
+        excel = load_file(path_or_url)
+        df = pd.read_excel(excel)
+        return df.to_markdown(index=False)
+
+    except Exception as e:
+        return f"Error reading Excel file: {str(e)}"
+
+
+if __name__ == "__main__":
+    print(excel_to_text.invoke("../7bd855d8-463d-4ed5-93ca-5fe35145f733.xlsx"))
+    print(
+        excel_to_text.invoke("https://agents-course-unit4-scoring.hf.space/files/7bd855d8-463d-4ed5-93ca-5fe35145f733"))