src/demo/app.py

import os
import json
import gradio as gr
from dataclasses import dataclass, field, asdict
from typing import Literal
from gradio_propertysheet import PropertySheet
from gradio_htmlinjector import HTMLInjector


# --- 1. Dataclass Definitions (unchanged) ---
@dataclass
class APISettings:
    api_key: str = field(
        default="ab123cd45ef67890ghij123klmno456p",
        metadata={
            "label": "API Key",            
            "component": "password", 
            "help": "Your secret API key. It will not be displayed."
        }
    )
    endpoint_url: str = field(
        default="https://api.example.com",
        metadata={
            "label": "API Endpoint",
            "component": "string", # string normal
            "help": "The URL of the API server."
        }
    )

@dataclass
class QuantizationSettings:
    quantization_method: Literal["None", "Quanto Library", "Layerwise & Bnb"] = field(
        default="Layerwise & Bnb",
        metadata={
            "component": "radio",
            "label": "Quantization Method",
            "help": "Quantization mechanism to save VRAM and increase speed."
        }
    )
    # Option 1: Literal values
    quantize_mode_list: Literal["FP8", "INT8", "IN4"] = field(
        default="FP8",
        metadata={
            "interactive_if": {"field": "quantization_method", "value": ["Quanto Library", "Layerwise & Bnb"]},
            "component": "radio",
            "label": "Quantization Mode (List)",
            "help": "This becomes interactive if Quantization Method is 'Quanto' OR 'Layerwise'."
        }
    )
    # Option 2: neq operand
    quantize_mode_neq: Literal["FP8", "INT8", "IN4"] = field(
        default="FP8",
        metadata={
            "interactive_if": {"field": "quantization_method", "neq": "None"},
            "component": "radio",
            "label": "Quantization Mode (Not Equal)",
            "help": "This becomes interactive if Quantization Method is NOT 'None'."
        }
    )
@dataclass
class ModelSettings:
    model_type: Literal["SD 1.5", "SDXL", "Pony", "Custom"] = field(
        default="SDXL",
        metadata={
            "component": "dropdown",
            "label": "Base Model",
            "help": "Select the base diffusion model."
        }
    )
    custom_model_path: str = field(
        default="/path/to/default.safetensors",
        metadata={
            "label": "Custom Model Path",
            "interactive_if": {"field": "model_type", "value": "Custom"},
            "help": "Provide the local file path to your custom .safetensors or .ckpt model file. This is only active when 'Base Model' is set to 'Custom'."
        },
    )
    vae_path: str = field(
        default="",
        metadata={
            "label": "VAE Path (optional)",
            "help": "Optionally, provide a path to a separate VAE file to improve color and detail."
        }
    )

@dataclass
class SamplingSettings:
    scheduler: Literal["Karras", "Simple", "Exponential"] = field(
        default="Karras",
        metadata={
            "component": "radio",
            "label": "Scheduler",
            "help": "Determines how the noise schedule is interpreted during sampling. 'Karras' is often recommended for high-quality results."
        }
    )
    sampler_name: Literal["Euler", "Euler a", "DPM++ 2M Karras", "UniPC"] = field(
        default="DPM++ 2M Karras",
        metadata={
            "component": "dropdown",
            "label": "Sampler",
            "help": "The algorithm used to denoise the image over multiple steps. Different samplers can produce stylistically different results."
        }
    )
    steps: int = field(
        default=25,
        metadata={
            "component": "slider",
            "label": "Sampling Steps",
            "minimum": 1,
            "maximum": 150,
            "step": 1,
            "help": "The number of denoising steps. More steps can increase detail but also take longer. Values between 20-40 are common."
        }
    )
    cfg_scale: float = field(
        default=7.0,
        metadata={
            "component": "slider",
            "label": "CFG Scale",
            "minimum": 1.0,
            "maximum": 30.0,
            "step": 0.5,
            "help": "Classifier-Free Guidance Scale. Higher values make the image adhere more strictly to the prompt, while lower values allow for more creativity."
        }
    )
    enable_advanced: bool = field(
        default=False,
        metadata={
            "label": "Enable Advanced Settings",
            "help": "Check this box to reveal more experimental or fine-tuning options."
        }
    )
    advanced_option: float = field(
        default=0.5,
        metadata={
            "label": "Advanced Option",
            "component": "slider",
            "minimum": 0.0,
            "maximum": 1.0,
            "step": 0.01,
            "interactive_if": {"field": "enable_advanced", "value": True},
            "help": "An example of an advanced setting that is only visible when the corresponding checkbox is enabled."
        },
    )
    temperature: float = field(
        default=1.0,
        metadata={
            "label": "Sampling Temperature",
            "component": "number_float",
            "minimum": 0.1,
            "maximum": 2.0,
            "step": 0.1,
            "help": "Controls the randomness of the sampling process. A value of 1.0 is standard. Higher values increase diversity at the risk of artifacts."
        }
    )

@dataclass
class RenderConfig:
    api_settings: APISettings = field(
        default_factory=APISettings,
        metadata={"label": "API Settings"}
    )
    randomize_seed: bool = field(
        default=True,
        metadata={
            "label": "Randomize Seed",
            "help": "If checked, a new random seed will be used for each generation. Uncheck to use the specific seed value below."
        }
    )
    seed: int = field(
        default=-1,
        metadata={
            "component": "number_integer",
            "label": "Seed",
            "help": "The seed for the random number generator. A value of -1 means a random seed will be chosen. The same seed and settings will produce the same image."
        }
    )
    model: ModelSettings = field(
        default_factory=ModelSettings,
        metadata={"label": "Model Settings"}
    )
    sampling: SamplingSettings = field(
        default_factory=SamplingSettings,
        metadata={"label": "Sampling Settings"}
    )
    quantization: QuantizationSettings = field(
        default_factory=QuantizationSettings,
        metadata={"label": "Quantization Settings"}
    )

@dataclass
class Lighting:
    sun_intensity: float = field(
        default=1.0,
        metadata={
            "component": "slider",
            "label": "Sun Intensity",
            "minimum": 0,
            "maximum": 5,
            "step": 0.1,
            "help": "Controls the brightness of the main light source in the scene."
        }
    )
    color: str = field(
        default="#FFDDBB",
        metadata={
            "component": "colorpicker",
            "label": "Sun Color",
            "help": "Sets the color of the main light source."
        }
    )

@dataclass
class EnvironmentConfig:
    background: Literal["Sky", "Color", "Image"] = field(
        default="Sky",
        metadata={
            "component": "dropdown",
            "label": "Background Type",
            "help": "Choose the type of background for the environment."
        }
    )
    lighting: Lighting = field(
        default_factory=Lighting,
        metadata={"label": "Lighting"}
    )

@dataclass
class EulerSettings:
    s_churn: float = field(
        default=0.0,
        metadata={
            "component": "slider",
            "label": "S_Churn",
            "minimum": 0.0,
            "maximum": 1.0,
            "step": 0.01,
            "help": "Stochasticity churn factor for Euler samplers. Adds extra noise at each step, affecting diversity. 0.0 is deterministic."
        }
    )

@dataclass
class DPM_Settings:
    karras_style: bool = field(
        default=True,
        metadata={
            "label": "Use Karras Sigma Schedule",
            "help": "If checked, uses the Karras noise schedule, which is often recommended for DPM++ samplers to improve image quality, especially in later steps."
        }
    )

# --- 2. Data Mappings and Initial Instances (unchanged) ---
initial_render_config = RenderConfig()
initial_env_config = EnvironmentConfig()
sampler_settings_map_py = {
    "Euler": EulerSettings(),
    "DPM++ 2M Karras": DPM_Settings(),
    "UniPC": None,
    "CustomSampler": SamplingSettings()
}
model_settings_map_py = {
    "SDXL 1.0": DPM_Settings(),
    "Stable Diffusion 1.5": EulerSettings(),
    "Pony": None,
}


# --- 3. CSS & JS Injection function (unchanged) ---
def inject_assets():
    """
    This function prepares the payload of CSS, JS, and Body HTML for injection.
    """
    popup_html = """<div id="injected_flyout_container" class="flyout-sheet" style="display: none;"></div>"""
    css_code = ""
    js_code = ""

    try:
        with open("custom.css", "r", encoding="utf-8") as f:
            css_code += f.read() + "\n"
        with open("custom.js", "r", encoding="utf-8") as f:
            js_code += f.read() + "\n"
    except FileNotFoundError as e:
        print(f"Warning: Could not read asset file: {e}")
    return {"js": js_code, "css": css_code, "body_html": popup_html}


# --- 4. Gradio App Build ---
with gr.Blocks(theme=gr.themes.Ocean(), title="PropertySheet Demos") as demo:
    html_injector = HTMLInjector()
    gr.Markdown("# PropertySheet Component Demos")

    with gr.Row():
        # --- Flyout popup ---
        with gr.Column(
            elem_id="flyout_panel_source", elem_classes=["flyout-source-hidden"]
        ) as flyout_panel_source:
            close_btn = gr.Button("×", elem_classes=["flyout-close-btn"])
            flyout_sheet = PropertySheet(
                visible=True,
                container=False,
                label="Settings",
                show_group_name_only_one=False,
                disable_accordion=True,
            )

    with gr.Tabs():
        with gr.TabItem("Original Sidebar Demo"):
            gr.Markdown(
                "An example of using the `PropertySheet` component as a traditional sidebar for settings."
            )
            render_state = gr.State(value=initial_render_config)
            env_state = gr.State(value=initial_env_config)
            sidebar_visible = gr.State(False)
            with gr.Row():
                with gr.Column(scale=3):
                    generate = gr.Button("Show Settings", variant="primary")
                    with gr.Row():
                        output_render_json = gr.JSON(label="Live Render State")
                        output_env_json = gr.JSON(label="Live Environment State")
                with gr.Column(scale=1):
                    render_sheet = PropertySheet(
                        value=initial_render_config,
                        label="Render Settings",
                        width=400,
                        height=550,
                        visible=False,
                        root_label="Generator",
                        interactive=True                        
                    )
                    environment_sheet = PropertySheet(
                        value=initial_env_config,
                        label="Environment Settings",
                        width=400,
                        open=False,
                        visible=False,
                        root_label="General",
                        interactive=True,
                        root_properties_first=False
                    )

            def change_visibility(is_visible, render_cfg, env_cfg):
                new_visibility = not is_visible
                button_text = "Hide Settings" if new_visibility else "Show Settings"
                return (
                    new_visibility,
                    gr.update(visible=new_visibility, value=render_cfg),
                    gr.update(visible=new_visibility, value=env_cfg),
                    gr.update(value=button_text),
                )

            def handle_render_change(
                updated_config: RenderConfig, current_state: RenderConfig
            ):
                if updated_config is None:
                    return current_state, asdict(current_state), current_state
                if updated_config.model.model_type != "Custom":
                    updated_config.model.custom_model_path = "/path/to/default.safetensors"                
                return updated_config, asdict(updated_config), updated_config

            def handle_env_change(
                updated_config: EnvironmentConfig, current_state: EnvironmentConfig
            ):
                if updated_config is None:
                    return current_state, asdict(current_state), current_state
                return updated_config, asdict(updated_config), current_state

            generate.click(
                fn=change_visibility,
                inputs=[sidebar_visible, render_state, env_state],
                outputs=[sidebar_visible, render_sheet, environment_sheet, generate],
            )
            render_sheet.change(
                fn=handle_render_change,
                inputs=[render_sheet, render_state],
                outputs=[render_sheet, output_render_json, render_state],
            )
            environment_sheet.change(
                fn=handle_env_change,
                inputs=[environment_sheet, env_state],
                outputs=[environment_sheet, output_env_json, env_state],
            )
            
            #In version 0.0.7, I moved the undo function to a new `undo` event. This was necessary to avoid conflict with the `change` event where it was previously implemented. 
            # Now you need to implement the undo event for the undo button to work. You can simply receive the component as input and set it as output.
            def render_undo(updated_config: RenderConfig, current_state: RenderConfig):
                if updated_config is None:
                    return current_state, asdict(current_state), current_state
                return updated_config, asdict(updated_config), current_state
            
            def environment_undo(updated_config: EnvironmentConfig, current_state: EnvironmentConfig):
                if updated_config is None:
                    return current_state, asdict(current_state), current_state
                return updated_config, asdict(updated_config), current_state
            
            render_sheet.undo(fn=render_undo, 
                              inputs=[render_sheet, render_state], 
                              outputs=[render_sheet, output_render_json, render_state]
            )
            environment_sheet.undo(fn=environment_undo, 
                            inputs=[environment_sheet, env_state],
                            outputs=[environment_sheet, output_env_json, env_state],
            )
            
            
            demo.load(
                fn=lambda r_cfg, e_cfg: (asdict(r_cfg), asdict(e_cfg)),
                inputs=[render_state, env_state],
                outputs=[output_render_json, output_env_json],
            )

        with gr.TabItem("Flyout Popup Demo"):
            gr.Markdown(
                "An example of attaching a `PropertySheet` as a flyout panel to other components."
            )

            # --- State Management ---
            flyout_visible = gr.State(False)
            active_anchor_id = gr.State(None)
            js_data_bridge = gr.Textbox(visible=False, elem_id="js_data_bridge")

            with gr.Column(elem_classes=["flyout-context-area"]):
                with gr.Row(
                    elem_classes=["fake-input-container", "no-border-dropdown"]
                ):
                    sampler_dd = gr.Dropdown(
                        choices=list(sampler_settings_map_py.keys()),
                        label="Sampler",
                        value="Euler",
                        elem_id="sampler_dd",
                        scale=10,
                    )
                    sampler_ear_btn = gr.Button(
                        "⚙️",
                        elem_id="sampler_ear_btn",
                        scale=1,
                        elem_classes=["integrated-ear-btn"],
                    )

                with gr.Row(
                    elem_classes=["fake-input-container", "no-border-dropdown"]
                ):
                    model_dd = gr.Dropdown(
                        choices=list(model_settings_map_py.keys()),
                        label="Model",
                        value="SDXL 1.0",
                        elem_id="model_dd",
                        scale=10,
                    )
                    model_ear_btn = gr.Button(
                        "⚙️",
                        elem_id="model_ear_btn",
                        scale=1,
                        elem_classes=["integrated-ear-btn"],
                    )

            # --- Event Logic ---
            def handle_flyout_toggle(
                is_vis, current_anchor, clicked_dropdown_id, settings_obj
            ):
                if is_vis and current_anchor == clicked_dropdown_id:
                    js_data = json.dumps({"isVisible": False, "anchorId": None})
                    return False, None, gr.update(), gr.update(value=js_data)
                else:
                    js_data = json.dumps(
                        {"isVisible": True, "anchorId": clicked_dropdown_id}
                    )
                    return (
                        True,
                        clicked_dropdown_id,
                        gr.update(value=settings_obj),
                        gr.update(value=js_data),
                    )

            def update_ear_visibility(selection, settings_map):
                has_settings = settings_map.get(selection) is not None
                return gr.update(visible=has_settings)

            def on_flyout_change(updated_settings, active_id, sampler_val, model_val):
                if updated_settings is None or active_id is None:
                    return
                if active_id == sampler_dd.elem_id:
                    sampler_settings_map_py[sampler_val] = updated_settings
                elif active_id == model_dd.elem_id:
                    model_settings_map_py[model_val] = updated_settings

            def close_the_flyout():
                js_data = json.dumps({"isVisible": False, "anchorId": None})
                return False, None, gr.update(value=js_data)

            js_update_flyout = "(jsonData) => { update_flyout_from_state(jsonData); }"

            sampler_dd.change(
                fn=lambda sel: update_ear_visibility(sel, sampler_settings_map_py),
                inputs=[sampler_dd],
                outputs=[sampler_ear_btn],
            ).then(
                fn=close_the_flyout,
                outputs=[flyout_visible, active_anchor_id, js_data_bridge],
            ).then(
                fn=None, inputs=[js_data_bridge], js=js_update_flyout
            )

            sampler_ear_btn.click(
                fn=lambda is_vis, anchor, sel: handle_flyout_toggle(
                    is_vis, anchor, sampler_dd.elem_id, sampler_settings_map_py.get(sel)
                ),
                inputs=[flyout_visible, active_anchor_id, sampler_dd],
                outputs=[
                    flyout_visible,
                    active_anchor_id,
                    flyout_sheet,
                    js_data_bridge,
                ],
            ).then(fn=None, inputs=[js_data_bridge], js=js_update_flyout)

            model_dd.change(
                fn=lambda sel: update_ear_visibility(sel, model_settings_map_py),
                inputs=[model_dd],
                outputs=[model_ear_btn],
            ).then(
                fn=close_the_flyout,
                outputs=[flyout_visible, active_anchor_id, js_data_bridge],
            ).then(
                fn=None, inputs=[js_data_bridge], js=js_update_flyout
            )

            model_ear_btn.click(
                fn=lambda is_vis, anchor, sel: handle_flyout_toggle(
                    is_vis, anchor, model_dd.elem_id, model_settings_map_py.get(sel)
                ),
                inputs=[flyout_visible, active_anchor_id, model_dd],
                outputs=[
                    flyout_visible,
                    active_anchor_id,
                    flyout_sheet,
                    js_data_bridge,
                ],
            ).then(fn=None, inputs=[js_data_bridge], js=js_update_flyout)

            flyout_sheet.change(
                fn=on_flyout_change,
                inputs=[flyout_sheet, active_anchor_id, sampler_dd, model_dd],
                outputs=None,
            )

            close_btn.click(
                fn=close_the_flyout,
                inputs=None,
                outputs=[flyout_visible, active_anchor_id, js_data_bridge],
            ).then(fn=None, inputs=[js_data_bridge], js=js_update_flyout)

            def initial_flyout_setup(sampler_val, model_val):
                return {
                    sampler_ear_btn: update_ear_visibility(
                        sampler_val, sampler_settings_map_py
                    ),
                    model_ear_btn: update_ear_visibility(
                        model_val, model_settings_map_py
                    ),
                }

            # --- App Load ---
            demo.load(fn=inject_assets, inputs=None, outputs=[html_injector]).then(
                fn=initial_flyout_setup,
                inputs=[sampler_dd, model_dd],
                outputs=[sampler_ear_btn, model_ear_btn],
            ).then(
                fn=None,
                inputs=None,
                outputs=None,
                js="() => { setTimeout(reparent_flyout, 200); }",
            )

if __name__ == "__main__":
    demo.launch()