main.py

import os
import json

import uvicorn
from fastapi import FastAPI, Request
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager

from models import load_models
from helperfunctions import *
from media_download import YoutubeDownloader
# from transcription import StableWhisper
# from summarizer import Extract_Summary, AudioBookNarration
# from audiobook import AudioBook

global MODELS


### API Configurations

# Context Manager for FastAPI Start/Shutdown
@asynccontextmanager
async def lifespan(app: FastAPI):

    ## FastAPI Startup Code
    
    # TODO
    # Loading ML models
    print('Loading ML Models..')
    MODELS = load_models()
    print('ML Models Loaded!')
    
    yield

    ## FastAPI Shutdown Code
    
    # Cleaning ML Models & Releasing the Resources
    MODELS.clear()

# Initializing FastAPI App
app = FastAPI(lifespan=lifespan)

# Output Directory for Files Storage
output_folder = 'Output'

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

# CORS (Cross-Origin Resource Sharing)
origins = [
    "http://localhost",
    "http://localhost:4200",
]

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],  # origins,
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)


### APIs

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

    # Getting User's IP & Generating UUID
    user_ip = request.client.host
    user_id = generate_uuid(user_ip, url)

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

    # Getting Youtube Media Info
    media_metadata = youtube_downloader.get_media_metadata()

    # Getting Status
    status = 1 if media_metadata else 0
    
    if status:
        # Storing Info in the context for this user's session
        users_context[user_id] = dict()
        users_context[user_id]['downloader'] = youtube_downloader
        # users_context[user_id]['media_metadata'] = media_metadata
        users_context[user_id]['url'] = url
    
    return {'status': status, 'user_id': user_id, 'media_metadata': media_metadata}


@app.get("/get_media_formats")
async def get_media_formats(user_id: str):
    
    # Downloading Media for User
    media_formats = users_context[user_id]['downloader'].get_media_formats()
    
    # Getting Status
    status = 1 if media_formats else 0

    if status:
        # Storing Media Info in the context for this user's session
        users_context[user_id]['media_formats'] = media_formats
    
    return {'status': status, 'media_formats': media_formats}


@app.get("/download_media")
async def download_media(user_id: str, media_type: str, media_format: str, media_quality: str):
    
    # Downloading Media for User
    media_path = users_context[user_id]['downloader'].download(media_type, media_format, media_quality)
    
    # Getting Status
    status = 1 if media_path else 0

    if status:
        # Storing Media Info in the context for this user's session
        users_context[user_id]['media_path'] = media_path
        users_context[user_id]['media_type'] = media_type
    
    return {'status': status, 'media_path': media_path}


@app.get("/get_transcript")
async def get_transcript(user_id: str, subtitle_format: str = 'srt', word_level: bool = False):
    
    # Retrieving the media_path from the context for this user's session
    media_path = users_context[user_id]['media_path']

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

    temp_dir = 'temp'
    if word_level:
        transcript_path = os.path.join(temp_dir, 'word_level_transcript.json')
        with open(transcript_path, "r") as json_file:
            transcript = json.load(json_file)
    else:
        transcript_path = os.path.join(temp_dir, 'sentence_level_transcript.json')
        with open(transcript_path, "r") as json_file:
            transcript = json.load(json_file)
    
    
    # Getting Status
    status = 1 if transcript else 0

    if status:
        # Storing Transcript Info in the context for this user's session
        users_context[user_id]['transcript'] = transcript
        users_context[user_id]['transcript_path'] = transcript_path
    
    return {'status': status, "transcript": transcript}


@app.get("/get_translation")
async def get_translation(user_id: str, target_language: str = 'en'):
    
    # Retrieving the transcript from the context for this user's session
    transcript = users_context[user_id]['transcript']

    # # # NLLB based Translation
    # nllb_translator = Translation(transcript, transcript['language'], target_language, 'output_path')
    # translated_transcript = nllb_translator.get_translated_transcript()
    # translated_subtitles = nllb_translator.get_translated_subtitles()

    temp_dir = 'temp'

    translated_transcript_path = os.path.join(temp_dir, 'translated_transcript.txt')
    with open(translated_transcript_path, "r", encoding="utf-8") as f:
        translated_transcript = f.read()

    translated_subtitles_path = os.path.join(temp_dir, 'translated_subtitles.json')
    with open(translated_subtitles_path, "r", encoding="utf-8") as json_file:
        translated_subtitles = json.load(json_file)
    
    # Getting Status
    status = 1 if translated_transcript and translated_subtitles else 0

    if status:
        # Storing Translated Transcript Info in the context for this user's session
        users_context[user_id]['translated_transcript'] = translated_transcript
        users_context[user_id]['translated_subtitles'] = translated_subtitles
        # users_context[user_id]['transcript_path'] = transcript_path
    
    return {'status': status, "transcript": translated_transcript, "subtitles": translated_subtitles}


@app.get("/get_summary")
async def get_summary(user_id: str, Summary_type: str, Summary_strategy: str, Target_Person_type: str,
                      Response_length:  str, Writing_style: str, text_input: str = None):

    # Getting Transcript if not provided
    if not text_input:
        text_input = users_context[user_id]['transcript']
    
    # # Extracting Summary
    # summary_extractor = Extract_Summary(text_input=text_input)
    # output = summary_extractor.define_chain(Summary_type=Summary_type,
    #                                         Summary_strategy=Summary_strategy,
    #                                         Target_Person_type=Target_Person_type,
    #                                         Response_length=Response_length,
    #                                         Writing_style=Writing_style,
    #                                         key_information=False)
    
    temp_dir = 'temp'
    file_path = os.path.join(temp_dir, 'summary.txt')
    with open(file_path, 'r') as file:
        output = file.read()


    # Getting Status
    status = 1 if output else 0

    if status:
        # Storing Summary Info in the context for this user's session
        users_context[user_id]['summary'] = output
    
    return {'status': status, "summary": output}


@app.get("/get_key_info")
async def get_key_info(user_id: str, Summary_type: str, Summary_strategy: str, Target_Person_type: str, 
                       Response_length: str, Writing_style: str, text_input: str = None):

    # Getting Transcript if not provided
    if not text_input:
        text_input = users_context[user_id]['transcript']
    
    # # Extracting Summary
    # summary_extractor = Extract_Summary(text_input=text_input)
    # output = summary_extractor.define_chain(Summary_type=Summary_type,
    #                                         Summary_strategy=Summary_strategy,
    #                                         Target_Person_type=Target_Person_type,
    #                                         Response_length=Response_length,
    #                                         Writing_style=Writing_style,
    #                                         key_information=True)
    
    temp_dir = 'temp'
    file_path = os.path.join(temp_dir, 'key_info.txt')
    with open(file_path, 'r') as file:
        output = file.read()


    # Getting Status
    status = 1 if output else 0

    if status:
        # Storing Key Info in the context for this user's session
        users_context[user_id]['key_info'] = output
    
    return {'status': status, "key_info": output}


@app.get("/get_audiobook")
async def get_audiobook(user_id: str, narration_style: str, speaker: str = "male", text_input: str = None, 
                        audio_format: str = "mp3", audio_quality: str = "128kbps"):

    # Getting Transcript if not provided
    if not text_input:
        text_input = users_context[user_id]['transcript']
    
    # # Extracting Narration

    # narrator = AudioBookNarration(text_input=text_input)
    # output = narrator.define_chain(narration_style=narration_style)

    # # Generating Audiobook
    # audiobook = AudioBook(output_folder=output_folder)
    # audio_path = audiobook.generate_audio_from_text(output, speaker=speaker, filename="output_audio")
    
    # # Converting the Audio to Required Audio Parameters
    # audio_path = convert_audio(audio_path, audio_format, audio_quality)
    
    temp_dir = 'temp'
    file_path = os.path.join(temp_dir, 'narration.txt')

    audio_path = file_path 
    
    # Getting Status
    status = 1 if audio_path else 0

    if status:
        # Storing Audiobook path in the context for this user's session
        users_context[user_id]['audiobook_path'] = audio_path
    
    return {'status': status, "audiobook_path": audio_path}


@app.get("/get_rendered_video")
async def get_rendered_video(user_id: str, video_format: str, video_quality: str, subtitles_type: str = 'original'):

    # # Retrieving the media_path from the context for this user's session
    # media_path = users_context[user_id]['media_path']

    # Downloading Video with Required Video Parameters for User
    media_path = users_context[user_id]['downloader'].download('video', video_format, video_quality)
    
    # Getting Required Subtitles
    if subtitles_type.lower() == 'original':
        subtitles_path = users_context[user_id]['transcript_path']

    elif subtitles_type.lower() == 'translated':

        # Getting Translated Subtitles from the context for this user's session
        translated_subtitles = users_context[user_id]['translated_subtitles']

        # Saving Translated Subtitles
        subtitles_path = save_translated_subtitles(translated_subtitles, media_path)
    
    # Burning Subtitles & Rendering Video
    rendered_video_path = burn_subtitles(media_path, subtitles_path)

    # Getting Status
    status = 1 if rendered_video_path else 0
    
    return {'status': status, "rendered_video_path": rendered_video_path}



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