import gradio as gr
from core.settings import MODEL_MAP_CHECKPOINT
from comfy_integration.nodes import SAMPLER_CHOICES, SCHEDULER_CHOICES
from .ui_components import (
    create_lora_settings_ui,
    create_controlnet_ui, create_ipadapter_ui, create_embedding_ui,
    create_conditioning_ui, create_vae_override_ui, create_api_key_ui
)

def create_ui():
    prefix = "img2img"
    components = {}
    
    with gr.Column():
        with gr.Row():
            components[f'base_model_{prefix}'] = gr.Dropdown(label="Base Model", choices=list(MODEL_MAP_CHECKPOINT.keys()), value=list(MODEL_MAP_CHECKPOINT.keys())[0], scale=3)
            with gr.Column(scale=1): 
                components[f'run_{prefix}'] = gr.Button("Run", variant="primary")

        with gr.Row():
            with gr.Column(scale=1):
                components[f'input_image_{prefix}'] = gr.Image(type="pil", label="Input Image", height=255)

            with gr.Column(scale=2):
                components[f'prompt_{prefix}'] = gr.Text(label="Prompt", lines=3, placeholder="Enter your prompt")
                components[f'neg_prompt_{prefix}'] = gr.Text(label="Negative prompt", lines=3, value="monochrome, (low quality, worst quality:1.2), 3d, watermark, signature, ugly, poorly drawn,")

        with gr.Row():
            with gr.Column(scale=1):
                components[f'denoise_{prefix}'] = gr.Slider(label="Denoise Strength", minimum=0.0, maximum=1.0, step=0.01, value=0.7)
                
                with gr.Row():
                    components[f'sampler_{prefix}'] = gr.Dropdown(label="Sampler", choices=SAMPLER_CHOICES, value=SAMPLER_CHOICES[0])
                    components[f'scheduler_{prefix}'] = gr.Dropdown(label="Scheduler", choices=SCHEDULER_CHOICES, value='normal' if 'normal' in SCHEDULER_CHOICES else SCHEDULER_CHOICES[0])
                with gr.Row():
                    components[f'steps_{prefix}'] = gr.Slider(label="Steps", minimum=1, maximum=100, step=1, value=28)
                    components[f'cfg_{prefix}'] = gr.Slider(label="CFG Scale", minimum=1.0, maximum=20.0, step=0.1, value=7.5)
                with gr.Row():
                    components[f'seed_{prefix}'] = gr.Number(label="Seed (-1 for random)", value=-1, precision=0)
                    components[f'batch_size_{prefix}'] = gr.Slider(label="Batch Size", minimum=1, maximum=16, step=1, value=1)
                with gr.Row():
                    components[f'zero_gpu_{prefix}'] = gr.Number(label="ZeroGPU Duration (s)", value=None, placeholder="Default: 60s, Max: 120s", info="Optional: Set how long to reserve the GPU. Longer jobs may need more time.")
                
                components[f'clip_skip_{prefix}'] = gr.State(value=1)
                
            with gr.Column(scale=1):
                components[f'result_{prefix}'] = gr.Gallery(label="Result", show_label=False, columns=1, object_fit="contain", height=505)
        
        components.update(create_api_key_ui(prefix))
        components.update(create_lora_settings_ui(prefix))
        components.update(create_controlnet_ui(prefix))
        components.update(create_ipadapter_ui(prefix))
        components.update(create_embedding_ui(prefix))
        components.update(create_conditioning_ui(prefix))
        components.update(create_vae_override_ui(prefix))
            
    return components