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MCP Mix Server

by mlstudios-ai
file_reader.py1.07 kB
import pandas as pd from pathlib import Path 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 (str): Name of the CSV file Returns: str: A string describing the file's concents. """ file_path = DATA_DIR / filename if not file_path.exists(): return f"File {filename} does not exist." 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 (str): Name of the Parquet file Returns: str: A string describing the file's contents. """ file_path = DATA_DIR / filename if not file_path.exists(): return f"File {filename} does not exist." df = pd.read_parquet(file_path) return f"Parquet file '{filename}' has {len(df)} rows and {len(df.columns)} columns."

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