import gradio as gr
import requests
import pandas as pd
from datetime import datetime, timedelta
import os

def fetch_games_by_date(date, api_key):
    url = f"https://api.sportsdata.io/v3/nba/scores/json/GamesByDate/{date}?key={api_key}"
    response = requests.get(url)
    if response.status_code == 200:
        return response.json()
    else:
        return None

def last_30_days_data(api_key):
    all_games = []
    for days_ago in range(30):
        date = (datetime.now() - timedelta(days=days_ago)).strftime("%Y-%m-%d")
        games = fetch_games_by_date(date, api_key)
        if games:
            all_games.extend(games)
    return all_games

def fetch_and_display_data():
    api_key = os.getenv('NBA_API_KEY')
    if api_key:
        games_data = last_30_days_data(api_key)
        if games_data:
            df = pd.DataFrame(games_data)
            csv_file_path = '/tmp/nba_games_last_30_days.csv'
            df.to_csv(csv_file_path, index=False)
            return df, csv_file_path
        else:
            return "No data available.", None
    else:
        return "API Key not set.", None

interface = gr.Interface(
    fn=fetch_and_display_data,
    inputs=[],
    outputs=["dataframe", "file"],
    title="NBA Games Data Fetcher",
    description="Fetches the last 30 days of NBA games data. Make sure your API key is set in the environment variable 'NBA_API_KEY'."
)

interface.launch()