import gradio as gr
import config
import lora_loader
import prompt_enhancer
from image_utils import load_image_from_url

def render_column_inputs():
    with gr.Column(scale=4):
        input_image_component = gr.Image(
            type="pil", 
            label="🖼️ Input Image", 
            sources=["upload", "clipboard"],
            height=240
        )
        with gr.Row():
            image_url_input = gr.Textbox(
                label="🌐 Load Input Image from URL",
                placeholder="e.g. https://example.com/image.jpg",
                value="",
                scale=3
            )
            load_image_btn = gr.Button("📥 Load Image", variant="secondary", scale=1)

        load_image_btn.click(
            fn=load_image_from_url,
            inputs=[image_url_input],
            outputs=[input_image_component]
        )

        with gr.Accordion("✨ Base Prompt & Style Modifiers", open=True):
            prompt_input = gr.Textbox(
                label="✨ Base Prompt", 
                value=config.default_prompt_i2v, 
                lines=3,
                max_lines=6,
                placeholder="Describe global style, lighting, or overall video mood...",
                info="💡 Note: If Prompt Relay is enabled, Base Prompt is ignored (Prompt Relay takes full control)."
            )

        with gr.Row():
            describe_image_btn = gr.Button("🔍 Describe Image (CPU ~1s)", variant="secondary")
            enhance_prompt_btn = gr.Button("✨ Auto-Enhance Prompt (CPU)", variant="secondary")

        describe_image_btn.click(
            fn=prompt_enhancer.describe_image,
            inputs=[input_image_component],
            outputs=[prompt_input]
        )

        enhance_prompt_btn.click(
            fn=prompt_enhancer.enhance_prompt,
            inputs=[prompt_input],
            outputs=[prompt_input]
        )

        duration_seconds_input = gr.Slider(
            minimum=config.MIN_DURATION, 
            maximum=config.MAX_DURATION, 
            step=0.1, 
            value=4.0, 
            label="⏱️ Duration (seconds)", 
            info=f"Set to 4.0s for direct 65-frame model generation."
        )

        motion_extension_dropdown = gr.Dropdown(
            choices=[
                "⚡ Real-Time RIFE Interpolation (32/64 FPS Ultra-Smooth)",
                "🔂 Ending-Only Boomerang Loop (Real Speed, Tail 1.5s Loop)",
                "🔂 Classic Full Boomerang Loop (100% Real-Speed Forward+Reverse)",
                "🌊 Adaptive Motion Speed Ramping (Ease-In/Out Curve)",
                "🐢 Cinematic Slow-Motion (16 FPS RIFE Time-Stretch)"
            ],
            value="⚡ Real-Time RIFE Interpolation (32/64 FPS Ultra-Smooth)",
            label="🎬 Motion Extension & Loop Technique",
            info="Choose Real-Time RIFE (Default), Ending-Only Boomerang, Classic Boomerang, or Speed Ramping."
        )

        frame_multi = gr.Dropdown(
            choices=[
                (f"16 FPS (Original Duration)", config.FIXED_FPS),
                (f"32 FPS (2x RIFE -> Converts 2s GPU to 4s Video)", config.FIXED_FPS*2),
                (f"64 FPS (4x RIFE -> Converts 2s GPU to 8s Video)", config.FIXED_FPS*4),
            ],
            value=config.FIXED_FPS,
            label="🎬 Video Fluidity & RIFE Extension (FPS)",
            info="Select 32 FPS (2x RIFE) to extend 2s GPU output into a smooth 4s video on CPU (0 GPU quota)."
        )

        noise_temperature_slider = gr.Slider(
            minimum=0.1, 
            maximum=2.0, 
            step=0.05, 
            value=1.0, 
            label="🌡️ Noise Temperature", 
            info="Scales initial noise variance (0.5 = focused & smooth, 1.0 = standard, 1.5 = high visual randomness)."
        )

        with gr.Accordion("🔗 Custom Civitai / Direct LoRA URL & CPU Cache", open=False):
            with gr.Row():
                cached_lora_dropdown = gr.Dropdown(
                    label="📦 Pre-Downloaded / Cached LoRAs (CPU Storage)",
                    choices=lora_loader.list_cached_loras(),
                    value="(None / Disable)",
                    scale=3,
                    info="Select any previously downloaded LoRA from CPU cache"
                )
                refresh_cached_lora_btn = gr.Button("🔄 Refresh List", variant="secondary", scale=1)

            custom_lora_url_input = gr.Textbox(
                label="Civitai / Direct LoRA Download URL (New Download)",
                placeholder="e.g. https://civitai.red/api/download/models/2098405?fileId=1994044",
                value="",
                info="Paste any Civitai or direct HTTP/HTTPS .safetensors link to download to CPU cache"
            )
            custom_lora_scale_input = gr.Slider(
                label="Custom LoRA Weight Scale",
                minimum=0.0,
                maximum=2.0,
                step=0.05,
                value=1.0,
                info="Strength of the custom LoRA effect"
            )
            with gr.Row():
                download_lora_btn = gr.Button("📥 Pre-Download LoRA to Cache (CPU)", variant="secondary")
            download_status_box = gr.HTML()

            download_lora_btn.click(
                fn=lora_loader.download_custom_lora_ui_action,
                inputs=[custom_lora_url_input],
                outputs=[download_status_box, cached_lora_dropdown]
            )

            refresh_cached_lora_btn.click(
                fn=lambda: gr.update(choices=lora_loader.list_cached_loras()),
                inputs=None,
                outputs=[cached_lora_dropdown]
            )

        with gr.Row():
            safe_mode_checkbox = gr.Checkbox(
                label="🛠️ Safe Mode",
                value=False,
                info="Requests extra processing buffer time to prevent timeout."
            )

        generate_button = gr.Button("🚀 Generate Video", variant="primary", elem_id="generate-btn")

        extra_gpu_buffer_slider = gr.Slider(
            label="⚡ Extra GPU Reservation Buffer (Seconds)",
            minimum=0,
            maximum=10,
            step=1,
            value=3,
            info="Manually add 0-10 extra seconds to ZeroGPU time reservation to prevent timeout during heavy processing"
        )

    return {
        "input_image_component": input_image_component,
        "image_url_input": image_url_input,
        "load_image_btn": load_image_btn,
        "prompt_input": prompt_input,
        "describe_image_btn": describe_image_btn,
        "enhance_prompt_btn": enhance_prompt_btn,
        "duration_seconds_input": duration_seconds_input,
        "motion_extension_dropdown": motion_extension_dropdown,
        "frame_multi": frame_multi,
        "noise_temperature_slider": noise_temperature_slider,
        "cached_lora_dropdown": cached_lora_dropdown,
        "custom_lora_url_input": custom_lora_url_input,
        "custom_lora_scale_input": custom_lora_scale_input,
        "extra_gpu_buffer_slider": extra_gpu_buffer_slider,
        "safe_mode_checkbox": safe_mode_checkbox,
        "generate_button": generate_button
    }