from media_download import *
from transcription import *
import asyncio

import uvicorn
from fastapi import FastAPI, Request, Depends

app = FastAPI()
output_folder = 'Output'

# Create a context variable to store the contexts for each user
users_context = dict()


@app.get("/get_media_info")
async def get_media_info(request: Request, url: str):

    # Getting User's IP
    user_ip = request.client.host

    # Getting User's Youtube Downloader
    youtube_downloader = YoutubeDownloader(url, output_folder)

    # Getting Youtube Media Info
    media_info = youtube_downloader.get_media_info()
    
    # Storing Info in the context for this user's session
    users_context[user_ip] = dict()
    users_context[user_ip]['downloader'] = youtube_downloader
    # users_context[user_ip]['media_info'] = media_info
    users_context[user_ip]['url'] = url
    
    return media_info


@app.get("/download_media")
async def download_media(request: Request, media_type: str, media_format: str, media_quality: str):

    # Getting User's IP
    user_ip = request.client.host
    
    # Downloading Media for User
    media_path = users_context[user_ip]['downloader'].download(media_type, media_format, media_quality)

    # Storing Media Info in the context for this user's session
    users_context[user_ip]['media_path'] = media_path
    users_context[user_ip]['media_type'] = media_type
    
    # Getting Status
    status = 1 if media_path else 0
    
    return {"status": status}


@app.get("/generate_transcript")
async def generate_transcript(request: Request, subtitle_format: str = 'srt', word_level: bool = True):
    
    # Getting User's IP
    user_ip = request.client.host
    
    # Retrieving the media_path from the context for this user's session
    media_path = users_context[user_ip]['media_path']

    # Checking if the media_type is Video, then extract it's audio
    media_type = users_context[user_ip]['media_type']
    if media_type == 'video':
        media_path = users_context[user_ip]['downloader'].extract_audio(media_path)

    # Whisper based transcription
    stable_whisper_transcript = StableWhisper(media_path, output_folder, subtitle_format=subtitle_format, word_level=word_level)
    transcript = stable_whisper_transcript.generate_transcript()
    transcript_path = youtube_transcript.save_transcript()
    
    # Getting Status
    status = 1 if transcript else 0
    
    return {"status": status, "transcript": transcript}


if __name__ == "__main__":
    uvicorn.run(app, host="127.0.0.1", port=8000)