Fused MCP Agents

import fused from fused.models.udf import Header from fused.models import Schema @fused.udf def get_visitor_data(year: int = None, country: str = None): """ UDF to retrieve visitor arrival data with optional filters. We've simply hosted a CSV file on Google Drive for the sake of simplicity for this example. Parameters: - year (int): Filter by specific year (e.g., 2023) - country (str): Filter by specific country name (e.g., 'Thailand') Returns: A DataFrame with the following columns: - Country - Purpose_of_visit_to_Japan - Year - Growth Rate(%) - Visitor Arrivals """ import pandas as pd import fused from io import BytesIO import requests drive_url = "https://drive.google.com/uc?export=download&id=1OQkx2fLA6oQ3fzNL-aiCFqDr65bp-nAL" @fused.cache def load_csv(): response = requests.get(drive_url) response.raise_for_status() return pd.read_csv(BytesIO(response.content), encoding='utf-8') df = load_csv() df.rename(columns={"Country/Area": "Country"}, inplace=True) # Cleaning up df['Year'] = pd.to_numeric(df['Year'], errors='coerce').astype('Int64') if year is not None: df = df[df['Year'] == year] if country: df = df[df['Country'] == country] # Columns to return columns = [ 'Country', 'Purpose_of_visit_to_Japan', 'Year', 'Growth Rate(%)', 'Visitor Arrivals' ] return df[columns] if not df.empty else pd.DataFrame(columns=columns)