import gradio as gr

from src.assets import custom_css

# from src.attention import create_attn_plots
from src.content import ABOUT, CITATION_BUTTON, CITATION_BUTTON_LABEL, LOGO, TITLE
from src.leaderboard import create_leaderboard_table
from src.llm_perf import get_llm_perf_df
from src.map import create_lat_score_mem_plot
from src.panel import (
    create_control_callback,
    create_control_panel,
    create_select_callback,
)

# from custom_kernels import create_quant_krnl_plots

MACHINE_TO_HARDWARE = {
    "1xA10": "A10-24GB-150W 🖥️",
    "1xA100": "A100-80GB-275W 🖥️",
    # "1xH100": "H100-80GB-700W 🖥️",
}


demo = gr.Blocks(css=custom_css)
with demo:
    gr.HTML(LOGO, elem_classes="logo")
    gr.HTML(TITLE, elem_classes="title")
    ####################### HARDWARE TABS #######################
    with gr.Tabs(elem_classes="tabs"):
        for id, (machine, hardware) in enumerate(MACHINE_TO_HARDWARE.items()):
            with gr.TabItem(hardware, id=id):
                ####################### CONTROL PANEL #######################
                (
                    filter_button,
                    machine_textbox,
                    score_slider,
                    memory_slider,
                    backend_checkboxes,
                    datatype_checkboxes,
                    optimization_checkboxes,
                    quantization_checkboxes,
                    kernels_checkboxes,
                ) = create_control_panel(machine=machine)
                ####################### HARDWARE SUBTABS #######################
                with gr.Tabs(elem_classes="subtabs"):
                    open_llm_perf_df = get_llm_perf_df(machine=machine)
                    ####################### LEADERBOARD TAB #######################
                    with gr.TabItem("Leaderboard 🏅", id=0):
                        search_bar, columns_checkboxes, leaderboard_table = (
                            create_leaderboard_table(open_llm_perf_df)
                        )
                    with gr.TabItem("Find Your Best Model 🧭", id=1):
                        lat_score_mem_plot = create_lat_score_mem_plot(open_llm_perf_df)
                    ###################### ATTENTIONS SPEEDUP TAB #######################
                    # with gr.TabItem("Attention 📈", id=2):
                    #     attn_prefill_plot, attn_decode_plot = create_attn_plots(
                    #         open_llm_perf_df
                    #     )
                    # ####################### KERNELS SPEEDUP TAB #######################
                    # with gr.TabItem("Kernels 📈", id=4):
                    #     quant_krnl_prefill_plot, quant_krnl_decode_plot = (
                    #         create_quant_krnl_plots(llm_perf_df)
                    #     )

                ####################### CONTROL CALLBACK #######################
                create_control_callback(
                    filter_button,
                    # inputs
                    machine_textbox,
                    score_slider,
                    memory_slider,
                    backend_checkboxes,
                    datatype_checkboxes,
                    optimization_checkboxes,
                    quantization_checkboxes,
                    kernels_checkboxes,
                    # interactive
                    columns_checkboxes,
                    search_bar,
                    # outputs
                    leaderboard_table,
                    lat_score_mem_plot,
                    # attn_prefill_plot,
                    # attn_decode_plot,
                    # quant_krnl_prefill_plot,
                    # quant_krnl_decode_plot,
                )

                create_select_callback(
                    # inputs
                    machine_textbox,
                    # interactive
                    columns_checkboxes,
                    search_bar,
                    # outputs
                    leaderboard_table,
                )

        ####################### ABOUT TAB #######################
        with gr.TabItem("About 📖", id=3):
            gr.Markdown(ABOUT, elem_classes="descriptive-text")
    ####################### CITATION
    with gr.Row():
        with gr.Accordion("📙 Citation", open=False):
            citation_button = gr.Textbox(
                value=CITATION_BUTTON,
                label=CITATION_BUTTON_LABEL,
                elem_id="citation-button",
                show_copy_button=True,
            )

if __name__ == "__main__":
    # Launch demo
    demo.queue().launch()