import gradio as gr
import random
import time
import shared
import argparse
import modules.path
import fooocus_version
import modules.html
import modules.async_worker as worker
import modules.flags as flags
import comfy.model_management as model_management

from modules.sdxl_styles import style_keys, aspect_ratios, fooocus_expansion, default_styles


def generate_clicked(*args):
    yield gr.update(visible=True, value=modules.html.make_progress_html(1, 'Initializing ...')), \
        gr.update(visible=True, value=None), \
        gr.update(visible=False)

    worker.buffer.append(list(args))
    finished = False

    while not finished:
        time.sleep(0.01)
        if len(worker.outputs) > 0:
            flag, product = worker.outputs.pop(0)
            if flag == 'preview':
                percentage, title, image = product
                yield gr.update(visible=True, value=modules.html.make_progress_html(percentage, title)), \
                    gr.update(visible=True, value=image) if image is not None else gr.update(), \
                    gr.update(visible=False)
            if flag == 'results':
                yield gr.update(visible=False), \
                    gr.update(visible=False), \
                    gr.update(visible=True, value=product)
                finished = True
    return


shared.gradio_root = gr.Blocks(title='Fooocus ' + fooocus_version.version, css=modules.html.css).queue()
with shared.gradio_root:
    with gr.Row():
        with gr.Column():
            progress_window = gr.Image(label='Preview', show_label=True, height=640, visible=False)
            progress_html = gr.HTML(value=modules.html.make_progress_html(32, 'Progress 32%'), visible=False, elem_id='progress-bar', elem_classes='progress-bar')
            gallery = gr.Gallery(label='Gallery', show_label=False, object_fit='contain', height=720, visible=True)
            with gr.Row(elem_classes='type_row'):
                with gr.Column(scale=0.85):
                    prompt = gr.Textbox(show_label=False, placeholder="Type prompt here.", container=False, autofocus=True, elem_classes='type_row', lines=1024)
                with gr.Column(scale=0.15, min_width=0):
                    run_button = gr.Button(label="Generate", value="Generate", elem_classes='type_row', visible=True)
                    stop_button = gr.Button(label="Stop", value="Stop", elem_classes='type_row', visible=False)

                    def stop_clicked():
                        model_management.interrupt_current_processing()
                        return gr.update(interactive=False)

                    stop_button.click(stop_clicked, outputs=stop_button, queue=False)
            with gr.Row(elem_classes='advanced_check_row'):
                input_image_checkbox = gr.Checkbox(label='Input Image', value=False, container=False, elem_classes='min_check')
                advanced_checkbox = gr.Checkbox(label='Advanced', value=False, container=False, elem_classes='min_check')
            with gr.Row(visible=False) as image_input_panel:
                with gr.Column(scale=0.5):
                    with gr.Accordion(label='Upscale or Variation', open=True):
                        uov_input_image = gr.Image(label='Drag above image to here', source='upload', type='numpy')
                        uov_method = gr.Radio(label='Method', choices=flags.uov_list, value=flags.disabled, show_label=False, container=False)
                    gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/390">\U0001F4D4 Document</a>')
            input_image_checkbox.change(lambda x: gr.update(visible=x), inputs=input_image_checkbox, outputs=image_input_panel, queue=False)

            # def get_select_index(g, evt: gr.SelectData):
            #     return g[evt.index]['name']
            # gallery.select(get_select_index, gallery, uov_input_image)
        with gr.Column(scale=0.5, visible=False) as right_col:
            with gr.Tab(label='Setting'):
                performance_selction = gr.Radio(label='Performance', choices=['Speed', 'Quality'], value='Speed')
                aspect_ratios_selction = gr.Radio(label='Aspect Ratios', choices=list(aspect_ratios.keys()),
                                                  value='1152×896', info='width × height')
                image_number = gr.Slider(label='Image Number', minimum=1, maximum=32, step=1, value=2)
                negative_prompt = gr.Textbox(label='Negative Prompt', show_label=True, placeholder="Type prompt here.",
                                             info='Describing objects that you do not want to see.')
                seed_random = gr.Checkbox(label='Random', value=True)
                image_seed = gr.Number(label='Seed', value=0, precision=0, visible=False)

                def random_checked(r):
                    return gr.update(visible=not r)

                def refresh_seed(r, s):
                    if r:
                        return random.randint(1, 1024*1024*1024)
                    else:
                        return s

                seed_random.change(random_checked, inputs=[seed_random], outputs=[image_seed], queue=False)

            with gr.Tab(label='Style'):
                style_selections = gr.CheckboxGroup(show_label=False, container=False,
                                                    choices=[fooocus_expansion] + style_keys,
                                                    value=[fooocus_expansion] + default_styles,
                                                    label='Image Style')
            with gr.Tab(label='Advanced'):
                with gr.Row():
                    base_model = gr.Dropdown(label='SDXL Base Model', choices=modules.path.model_filenames, value=modules.path.default_base_model_name, show_label=True)
                    refiner_model = gr.Dropdown(label='SDXL Refiner', choices=['None'] + modules.path.model_filenames, value=modules.path.default_refiner_model_name, show_label=True)
                with gr.Accordion(label='LoRAs', open=True):
                    lora_ctrls = []
                    for i in range(5):
                        with gr.Row():
                            lora_model = gr.Dropdown(label=f'SDXL LoRA {i+1}', choices=['None'] + modules.path.lora_filenames, value=modules.path.default_lora_name if i == 0 else 'None')
                            lora_weight = gr.Slider(label='Weight', minimum=-2, maximum=2, step=0.01, value=modules.path.default_lora_weight)
                            lora_ctrls += [lora_model, lora_weight]
                with gr.Row():
                    model_refresh = gr.Button(label='Refresh', value='\U0001f504 Refresh All Files', variant='secondary', elem_classes='refresh_button')
                with gr.Accordion(label='Advanced', open=False):
                    sharpness = gr.Slider(label='Sampling Sharpness', minimum=0.0, maximum=30.0, step=0.01, value=2.0)
                    gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/117">\U0001F4D4 Document</a>')

                def model_refresh_clicked():
                    modules.path.update_all_model_names()
                    results = []
                    results += [gr.update(choices=modules.path.model_filenames), gr.update(choices=['None'] + modules.path.model_filenames)]
                    for i in range(5):
                        results += [gr.update(choices=['None'] + modules.path.lora_filenames), gr.update()]
                    return results

                model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls, queue=False)

        advanced_checkbox.change(lambda x: gr.update(visible=x), advanced_checkbox, right_col, queue=False)
        ctrls = [
            prompt, negative_prompt, style_selections,
            performance_selction, aspect_ratios_selction, image_number, image_seed, sharpness
        ]
        ctrls += [base_model, refiner_model] + lora_ctrls
        ctrls += [input_image_checkbox]
        ctrls += [uov_method, uov_input_image]

        run_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=False), []), outputs=[stop_button, run_button, gallery])\
            .then(fn=refresh_seed, inputs=[seed_random, image_seed], outputs=image_seed)\
            .then(fn=generate_clicked, inputs=ctrls, outputs=[progress_html, progress_window, gallery])\
            .then(lambda: (gr.update(visible=True), gr.update(visible=False)), outputs=[run_button, stop_button])


parser = argparse.ArgumentParser()
parser.add_argument("--port", type=int, default=None, help="Set the listen port.")
parser.add_argument("--share", action='store_true', help="Set whether to share on Gradio.")
parser.add_argument("--listen", type=str, default=None, metavar="IP", nargs="?", const="0.0.0.0", help="Set the listen interface.")
args = parser.parse_args()
shared.gradio_root.launch(inbrowser=True, server_name=args.listen, server_port=args.port, share=args.share)