import os
import requests
import json
from pathlib import Path
from openai import OpenAI, openai
from datetime import datetime, timedelta
import asyncio

# Assuming OpenAI Python client is already installed, configured with API key
openai.api_key = os.getenv('OPEN_AI_API_KEY')

OPENWEATHERMAP_API_KEY = os.getenv('OPENWEATHERMAP_API_KEY')
DAYS = 3

async def get_weather(zip_code):
    geo_url = f"http://api.openweathermap.org/geo/1.0/zip?zip={zip_code},US&appid={OPENWEATHERMAP_API_KEY}"
    geo_res = requests.get(geo_url)
    geo_data = geo_res.json()
    lat, lon = geo_data['lat'], geo_data['lon']
    weather_url = f"https://api.openweathermap.org/data/3.0/onecall?lat={lat}&lon={lon}&appid={OPENWEATHERMAP_API_KEY}"
    weather_res = requests.get(weather_url)
    weather_data = weather_res.json()
    parsed_data = []
    for idx, data in enumerate(weather_data['daily']):
        if DAYS < idx + 1:
            continue
        parsed_data.append({
            'date': datetime.utcfromtimestamp(data['dt']).strftime('%Y-%m-%d'),
            'high': data['temp']['max'],
            'low': data['temp']['min'],
            'humidity': data['humidity'],
            'morning_temp': data['temp']['morn'],
            'evening_temp': data['temp']['eve'],
            'wind_speed': data['wind_speed'],
            'cloudiness': data['clouds'],
            'conditions': [d['main'] for d in data['weather']],
        })
    return parsed_data

async def generate_report(data):
    response = openai.ChatCompletion.create(
        model="gpt-4-turbo-preview",
        messages=[
            # The task description and the prompt go here,
            # similar to the structure in the TypeScript code
        ]
    )
    # Assuming the use of chat-completions requires handling similarly,
    # this API might differ, check OpenAI Python client documentation
    return response.choices[0].text

async def generate_audio_report(text):
    speech_file = Path('./report.mp3').resolve()
    # Generate audio using OpenAI here
    # Check the OpenAI Python client documentation for `openai.Audio`
    pass  # Placeholder for the audio generation logic

async def run_bot():
    print("Running bot...")
    zip_code = input("Enter a ZIP code to check the weather: ")  # Example for input, adapt as needed
    weather_data = await get_weather(zip_code)
    text_report = await generate_report(weather_data)
    await generate_audio_report(text_report)

# Run the bot - Note that top-level asyncio.run cannot be called directly in Jupyter notebooks
if __name__ == "__main__":
    asyncio.run(run_bot())