import gradio as gr, glob, os, auditok, random, zipfile, wave, pytube.exceptions
from pytube import YouTube
from moviepy.editor import VideoFileClip

def download_video(url):
    try:
        yt = YouTube(url)
    except pytube.exceptions.RegexMatchError:
        raise gr.Error("URL not valid or is empty! Please fix the link or enter one!")
    video = yt.streams.get_highest_resolution()
    video.download()
    video_path = f"{video.default_filename}"
    video_clip = VideoFileClip(video_path)
    audio_clip = video_clip.audio
    audio_clip.write_audiofile("output.wav")
    audio_clip.close()
    video_clip.close()
    for removalmp4 in glob.glob("*.mp4"):
        os.remove(removalmp4)
    return "Finished downloading! Please proceed to final tab."

def split_audio(mindur, maxdur, name_for_split_files, show_amount_of_files_and_file_dur):
    if show_amount_of_files_and_file_dur == True:
        gr.Warning(f"show_amount_of_files_and_file_dur set to True. This feature may be inaccurate especially for WAV files, so dont rely too much on the count and duration.")
    if not os.path.exists("output.wav"):
        raise gr.Error("Output.wav does not exist! Did you do the first tab correctly or at all?")
    if mindur == maxdur:
        raise gr.Error(f"Cannot split mindur={mindur} and maxdur={maxdur}, min and max are the same number.")
    elif mindur > maxdur:
        raise gr.Error(f"Cannot split mindur={mindur} and maxdur={maxdur}, mindur is higher than maxdur.")
    elif name_for_split_files == None:
        raise gr.Error("Split files name cannot be empty! This will be replaced with an alternative naming style in the future.")
    else:
        audio_path = "output.wav"
        audio_regions = auditok.split(
            audio_path,
            min_dur=mindur,
            max_dur=maxdur,
            max_silence=0.3,
            energy_threshold=45
        )
        os.remove(audio_path)
        for i, r in enumerate(audio_regions):
            filename = r.save(f"{name_for_split_files}-{i+1}.wav")
        for f in sorted(glob.glob("*.wav")):
            set_name = name_for_split_files + "-" + str(random.randint(1, 91071988)) + ".wav"
            audio_files = glob.glob("*.wav")
            zip_file_name = "audio_files.zip"
            with zipfile.ZipFile(zip_file_name, "w") as zip_file:
                for audio_file in audio_files:
                    zip_file.write(audio_file, os.path.basename(audio_file))
        if show_amount_of_files_and_file_dur == False:
            return "Files split successfully!\n\nCheck below for zipped files.", zip_file_name
        elif show_amount_of_files_and_file_dur == True:
            largest_file = ("", 0)
            total_files = 0
            total_length = 0.0
            for file_name in glob.glob("*.wav"):
                file_path = os.path.join(os.getcwd(), file_name)
                if file_path.lower().endswith(".wav"):
                    try:
                        with wave.open(file_path, 'r') as audio_file:
                            frames = audio_file.getnframes()
                            rate = audio_file.getframerate()
                            duration = frames / float(rate)
                            file_size = os.path.getsize(file_path)
                            if file_size > largest_file[1]:
                                largest_file = (file_name, file_size)
                            total_length += duration
                            total_files += 1
                    except wave.Error as e:
                        raise gr.Error(f"Error reading file: {e}")
            length_mins = total_length / 60
            for file2 in glob.glob("*.wav"):
                os.remove(file2)
            return f"Files split successfully!\n\nCheck below for zipped files.\n\n{total_files} files created, {length_mins:.2f} minutes total.", zip_file_name

def analyze_audio(zip_file_path):
    with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:
        zip_ref.extractall('unzipped_files')
    total_sample_rate = 0
    total_files = 0
    for file_name in os.listdir('unzipped_files'):
        if file_name.lower().endswith('.wav'):
            file_path = os.path.join('unzipped_files', file_name)
            try:
                with wave.open(file_path, 'r') as audio_file:
                    sample_rate = audio_file.getframerate()
                    total_sample_rate += sample_rate
                    total_files += 1
            except wave.Error as e:
                print(f"Error reading file: {e}")
    if total_files > 0:
        average_sample_rate = total_sample_rate / total_files
        return f"Average sample rate: {average_sample_rate}"
    else:
        return "No average sample rate could be found."


with gr.Blocks(theme=gr.themes.Monochrome(), title="Global Dataset Maker") as app:
    gr.HTML(
        "<h1> Welcome to the GDMGS! (GlobalDatasetMaker Gradio Space) </h1>"
    )
    gr.Markdown(
        "This Space will create a dataset for you, all automatically. **Please be warned that due to not having a GPU on this Space, some steps might take longer to complete, so please be patient.**"
    )
    with gr.Tabs():
        with gr.TabItem("Download Video"):
            with gr.Row():
                with gr.Column():
                    with gr.Row():
                        url = gr.Textbox(label="URL")
                        convertion = gr.Button("Download", variant='primary')
            convertion.click(
                fn=download_video,
                inputs=[url],
                outputs=gr.Text(label="Output")
            )
        with gr.TabItem("Split audio files"):
            with gr.Row():
                with gr.Column():
                    with gr.Row():
                        mindur = gr.Number(label="Min duration", minimum=1, maximum=10, value=1)
                        maxdur = gr.Number(label="Max duration", minimum=1, maximum=10, value=5)
                        name_for_split_files = gr.Textbox(label="Name for split files")
                        show_amount_of_files_and_file_dur = gr.Checkbox(False, label="Show total amount of files and duration?")
                    splitbtn = gr.Button("Split", variant='primary')
            splitbtn.click(
                split_audio,
                inputs=[mindur, maxdur, name_for_split_files, show_amount_of_files_and_file_dur],
                outputs=[gr.Text(label="Output"), gr.File(label="Zipped files")]
            )
        with gr.TabItem("Misc tools"):
            with gr.Tab("SR analyzer"):
                gr.Markdown("Upload a zip file of your wavs here and this will determine the average sample rate.")
                with gr.Row():
                    with gr.Column():
                        with gr.Row():
                            zipuploader = gr.File(file_count='single', file_types=[".zip"], label="ZIP file")
                        uploadbtn = gr.Button("Analyze", variant='primary')
                    uploadbtn.click(
                        analyze_audio,
                        [zipuploader],
                        [gr.Text(label="Result")]
                    )

app.launch()