WorldBank GDP & Employment MCP Server

# utils/file_reader.py import pandas as pd from pathlib import Path # Base directory where our data lives DATA_DIR = Path(__file__).resolve().parent.parent / "data" def read_csv_summary(filename: str) -> str: """ Read a CSV file and return a simple summary. Args: filename: Name of the CSV file (e.g. 'sample.csv') Returns: A string describing the file's contents. """ file_path = DATA_DIR / filename df = pd.read_csv(file_path) return f"CSV file '{filename}' has {len(df)} rows and {len(df.columns)} columns." def read_parquet_summary(filename: str) -> str: """ Read a Parquet file and return a simple summary. Args: filename: Name of the Parquet file (e.g. 'sample.parquet') Returns: A string describing the file's contents. """ file_path = DATA_DIR / filename df = pd.read_parquet(file_path) return f"Parquet file '{filename}' has {len(df)} rows and {len(df.columns)} columns."