import gradio as gr
from modules import timer, shared, call_queue, generation_parameters_copypaste, processing_vae, images
from modules import ui_common, ui_sections, ui_guidance


def create_ui():
    shared.log.debug('UI initialize: tab=txt2img')
    import modules.txt2img # pylint: disable=redefined-outer-name
    modules.scripts_manager.scripts_current = modules.scripts_manager.scripts_txt2img
    modules.scripts_manager.scripts_txt2img.initialize_scripts(is_img2img=False, is_control=False)
    with gr.Blocks(analytics_enabled=False) as _txt2img_interface:
        txt2img_prompt, txt2img_prompt_styles, txt2img_negative_prompt, txt2img_submit, txt2img_reprocess, txt2img_paste, txt2img_extra_networks_button, txt2img_token_counter, txt2img_token_button, txt2img_negative_token_counter, txt2img_negative_token_button = ui_sections.create_toprow(is_img2img=False, id_part="txt2img")

        txt2img_prompt_img = gr.File(label="", elem_id="txt2img_prompt_image", file_count="single", type="binary", visible=False)
        txt2img_prompt_img.change(fn=images.image_data, inputs=[txt2img_prompt_img], outputs=[txt2img_prompt, txt2img_prompt_img])

        with gr.Row(variant='compact', elem_id="txt2img_extra_networks", elem_classes=["extra_networks_root"], visible=False) as extra_networks_ui:
            from modules import ui_extra_networks
            extra_networks_ui = ui_extra_networks.create_ui(extra_networks_ui, txt2img_extra_networks_button, 'txt2img', skip_indexing=shared.opts.extra_network_skip_indexing)
            timer.startup.record('ui-networks')

        with gr.Row(elem_id="txt2img_interface", equal_height=False):
            with gr.Column(variant='compact', elem_id="txt2img_settings", elem_classes=['settings-column']):

                with gr.Row():
                    width, height = ui_sections.create_resolution_inputs('txt2img')

                batch_count, batch_size = ui_sections.create_batch_inputs('txt2img', accordion=False)
                steps, sampler_index = ui_sections.create_sampler_and_steps_selection(None, "txt2img")

                with gr.Group(elem_classes="settings-accordion"):
                    with gr.Accordion(open=False, label="Samplers", elem_classes=["small-accordion"], elem_id="txt2img_sampler_group"):
                        ui_sections.create_sampler_options('txt2img')
                    seed, reuse_seed, subseed, reuse_subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w = ui_sections.create_seed_inputs('txt2img')
                    guidance_name, guidance_scale, guidance_rescale, guidance_start, guidance_stop, cfg_scale, image_cfg_scale, diffusers_guidance_rescale, pag_scale, pag_adaptive, cfg_end = ui_guidance.create_guidance_inputs('txt2img')
                    vae_type, tiling, hidiffusion, clip_skip = ui_sections.create_advanced_inputs('txt2img')
                    hdr_mode, hdr_brightness, hdr_color, hdr_sharpen, hdr_clamp, hdr_boundary, hdr_threshold, hdr_maximize, hdr_max_center, hdr_max_boundary, hdr_color_picker, hdr_tint_ratio = ui_sections.create_correction_inputs('txt2img')
                    enable_hr, hr_sampler_index, hr_denoising_strength, hr_resize_mode, hr_resize_context, hr_upscaler, hr_force, hr_second_pass_steps, hr_scale, hr_resize_x, hr_resize_y, refiner_steps, refiner_start, refiner_prompt, refiner_negative = ui_sections.create_hires_inputs('txt2img')
                    detailer_enabled, detailer_prompt, detailer_negative, detailer_steps, detailer_strength, detailer_resolution  = shared.yolo.ui('txt2img')
                    override_settings = ui_common.create_override_inputs('txt2img')
                    state = gr.Textbox(value='', visible=False)

                with gr.Group(elem_id="txt2img_script_container"):
                    txt2img_script_inputs = modules.scripts_manager.scripts_txt2img.setup_ui(parent='txt2img', accordion=True)

            txt2img_gallery, txt2img_generation_info, txt2img_html_info, _txt2img_html_info_formatted, txt2img_html_log = ui_common.create_output_panel("txt2img", preview=True, prompt=txt2img_prompt)
            ui_common.reuse_seed(seed, reuse_seed, subseed=False)
            ui_common.reuse_seed(subseed, reuse_subseed, subseed=True)

            dummy_component = gr.Textbox(visible=False, value='dummy')

            txt2img_args = [
                dummy_component, state,
                txt2img_prompt, txt2img_negative_prompt, txt2img_prompt_styles,
                steps, sampler_index, hr_sampler_index,
                vae_type, tiling, hidiffusion,
                detailer_enabled, detailer_prompt, detailer_negative, detailer_steps, detailer_strength, detailer_resolution,
                batch_count, batch_size,
                guidance_name, guidance_scale, guidance_rescale, guidance_start, guidance_stop,
                cfg_scale, image_cfg_scale, diffusers_guidance_rescale, pag_scale, pag_adaptive, cfg_end,
                clip_skip,
                seed, subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w,
                height, width,
                enable_hr, hr_denoising_strength,
                hr_scale, hr_resize_mode, hr_resize_context, hr_upscaler, hr_force, hr_second_pass_steps, hr_resize_x, hr_resize_y,
                refiner_steps, refiner_start, refiner_prompt, refiner_negative,
                hdr_mode, hdr_brightness, hdr_color, hdr_sharpen, hdr_clamp, hdr_boundary, hdr_threshold, hdr_maximize, hdr_max_center, hdr_max_boundary, hdr_color_picker, hdr_tint_ratio,
                override_settings,
            ]
            txt2img_dict = dict(
                fn=call_queue.wrap_gradio_gpu_call(modules.txt2img.txt2img, extra_outputs=[None, '', ''], name='Text'),
                _js="submit_txt2img",
                inputs=txt2img_args + txt2img_script_inputs,
                outputs=[
                    txt2img_gallery,
                    txt2img_generation_info,
                    txt2img_html_info,
                    txt2img_html_log,
                ],
                show_progress='hidden',
            )

            txt2img_prompt.submit(**txt2img_dict)
            txt2img_negative_prompt.submit(**txt2img_dict)
            txt2img_submit.click(**txt2img_dict)

            txt2img_reprocess[1].click(fn=processing_vae.reprocess, inputs=[txt2img_gallery], outputs=[txt2img_gallery]) # full-decode
            txt2img_reprocess[2].click(**txt2img_dict) # hires-refine
            txt2img_reprocess[3].click(**txt2img_dict) # face-restore

            txt2img_paste_fields = [
                # prompt
                (txt2img_prompt, "Prompt"),
                (txt2img_negative_prompt, "Negative prompt"),
                (txt2img_prompt_styles, "Styles"),
                # main
                (width, "Size-1"),
                (height, "Size-2"),
                # sampler
                (sampler_index, "Sampler"),
                (steps, "Steps"),
                # batch
                (batch_count, "Batch-1"),
                (batch_size, "Batch-2"),
                # seed
                (seed, "Seed"),
                (subseed, "Variation seed"),
                (subseed_strength, "Variation strength"),
                # guidance
                (guidance_name, "Guidance"),
                (guidance_scale, "Guidance scale"),
                (guidance_rescale, "Guidance rescale"),
                (guidance_start, "Guidance start"),
                (guidance_stop, "Guidance stop"),
                # advanced
                (cfg_scale, "CFG scale"),
                (cfg_end, "CFG end"),
                (clip_skip, "Clip skip"),
                (image_cfg_scale, "Image CFG scale"),
                (image_cfg_scale, "Hires CFG scale"),
                (diffusers_guidance_rescale, "CFG rescale"),
                (vae_type, "VAE type"),
                (tiling, "Tiling"),
                (hidiffusion, "HiDiffusion"),
                # detailer
                (detailer_enabled, "Detailer"),
                (detailer_prompt, "Detailer prompt"),
                (detailer_negative, "Detailer negative"),
                (detailer_steps, "Detailer steps"),
                (detailer_strength, "Detailer strength"),
                (detailer_resolution, "Detailer resolution"),
                # second pass
                (enable_hr, "Second pass"),
                (enable_hr, "Refine"),
                (hr_denoising_strength, "Hires strength"),
                (hr_sampler_index, "Hires sampler"),
                (hr_resize_mode, "Hires mode"),
                (hr_resize_context, "Hires context"),
                (hr_upscaler, "Hires upscaler"),
                (hr_force, "Hires force"),
                (hr_second_pass_steps, "Hires steps"),
                (hr_scale, "Hires upscale"),
                (hr_scale, "Hires scale"),
                (hr_resize_x, "Hires fixed-1"),
                (hr_resize_y, "Hires fixed-2"),
                # refiner
                (refiner_start, "Refiner start"),
                (refiner_steps, "Refiner steps"),
                (refiner_prompt, "refiner prompt"),
                (refiner_negative, "Refiner negative"),
                # pag
                (pag_scale, "CFG true"),
                (pag_adaptive, "CFG adaptive"),
                # hidden
                (seed_resize_from_w, "Seed resize from-1"),
                (seed_resize_from_h, "Seed resize from-2"),
                *modules.scripts_manager.scripts_txt2img.infotext_fields
            ]
            generation_parameters_copypaste.add_paste_fields("txt2img", None, txt2img_paste_fields, override_settings)
            txt2img_bindings = generation_parameters_copypaste.ParamBinding(paste_button=txt2img_paste, tabname="txt2img", source_text_component=txt2img_prompt, source_image_component=None)
            generation_parameters_copypaste.register_paste_params_button(txt2img_bindings)

            txt2img_token_button.click(fn=call_queue.wrap_queued_call(ui_common.update_token_counter), inputs=[txt2img_prompt], outputs=[txt2img_token_counter], show_progress = 'hidden')
            txt2img_negative_token_button.click(fn=call_queue.wrap_queued_call(ui_common.update_token_counter), inputs=[txt2img_negative_prompt], outputs=[txt2img_negative_token_counter], show_progress = 'hidden')

            ui_extra_networks.setup_ui(extra_networks_ui, txt2img_gallery)