from pydantic import BaseModel
from fastapi import FastAPI, UploadFile, HTTPException
from ffmpeg import input, output, run
import ffmpeg
import boto3
import os

app = FastAPI()

# Define your AWS S3 credentials and bucket name
aws_access_key_id = os.environ['AWS_ACCESS_KEY_ID']
aws_secret_access_key = os.environ['AWS_SECRET_ACCESS_KEY']
s3_bucket_name = os.environ['S3_BUCKET_NAME']
aws_env = os.environ['AWS_ENV']
aws_region = 'eu-central-1'
temp_dir = '/tmp/'
# Initialize an S3 client
s3_client = boto3.client('s3', aws_access_key_id=aws_access_key_id, aws_secret_access_key=aws_secret_access_key, region_name=aws_region)

class CutRequest(BaseModel):
    segments: list[tuple[float, float]]

def download_file(news_name: str,quote_filename: str):
    # Define a function to download a single file
    s3_directory = f'{aws_env}/{news_name}'
    input_file = quote_filename
    try:
        s3_object_key = f'{s3_directory}/{input_file}'
        local_file = temp_dir + input_file
        s3_client.download_file(s3_bucket_name, s3_object_key, local_file)
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Failed to download a file from S3: {e}")


# def download_files(output_key: str):

#     # Temporary directory to store uploaded audio files
#     s3_directory = output_key

#     input_files = ['genBase.mp3', 'quote.mp3']
#     try:
#         for input_file in input_files:
#             s3_object_key = f'{s3_directory}/{input_file}'
#             local_file = temp_dir + input_file
#             s3_client.download_file(s3_bucket_name, s3_object_key, local_file)
#     except Exception as e:
#         raise HTTPException(status_code=500, detail=f"Failed to download files from S3: {e}")

@app.post("/cut-audio/{output_key}")
def cut_audio(request: CutRequest, output_key: str):
    download_files(output_key)
    for i, (start, end) in enumerate(request.segments):
        output_file = f"/tmp/cut_quote_{i}.mp3"
        # output_file = f"/tmp/genBase_segment_{i}.mp3"
        try:
            (
                ffmpeg
                .input('/tmp/genBase.mp3', ss=start, to=end)
                .output(output_file)
                .run()
            )
        except ffmpeg.Error as e:
            raise HTTPException(status_code=500, detail=str(e))
        try:
            s3_output_key = f'{output_key}/genBase_segment_{i}.mp3' 
            s3_client.upload_file(output_file, s3_bucket_name, s3_output_key)
        except Exception as e:
            raise HTTPException(status_code=500, detail=f"Failed to upload file to S3: {e}")

    return {"message": "Audio cut successfully"}



@app.post("/merge_audio/{output_key}")
async def merge_audio(output_key: str):
    s3_directory = output_key
    # Output file name
    output_file = temp_dir + 'output.mp3'

    # Use python-ffmpeg to merge audio clips
    # input_file_paths = [temp_dir + input_file for input_file in input_files]
    # input_args = [input(file_path) for file_path in input_file_paths]
    input_file = 'list.txt'

    try:
        intermediate_output = temp_dir + 'intermediate_output.mp3'
        ffmpeg.input(input_file, format='concat', safe=0).output(intermediate_output, c='copy').run()
        ffmpeg.input(intermediate_output).audio.filter('loudnorm').output(output_file, audio_bitrate='256k', ar='44100').run()
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"FFmpeg Error: {e}")

    # Upload the merged file back to S3
    s3_output_key = f'{s3_directory}/final.mp3'
    try:
        s3_client.upload_file(output_file, s3_bucket_name, s3_output_key)
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Failed to upload file to S3: {e}")

    return {"message": "Audio clips successfully merged and saved in S3"}

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=7680)