import spaces
import gradio as gr

from gdpr_logic import (
    INITIAL_STATUS,
    QUICK_QUESTIONS,
    ask_question as ask_question_backend,
    clear_chat,
    refresh_data,
)

custom_css = """
.gradio-container {
    max-width: 1600px !important;
    margin: auto !important;
    padding: 30px !important;
    background: #F7F3EF !important;
}
#app-header {
    text-align: center;
    margin-bottom: 26px;
}
#app-header h1 {
    color: #0F3D3E !important;
    font-size: 42px !important;
    font-weight: 700 !important;
    margin-bottom: 8px !important;
}
#app-header p {
    color: #5F6666;
    font-size: 17px;
}
#info-card,
#chat-card {
    background: #FFFFFF;
    border: 1px solid #DDD7CE;
    border-radius: 18px;
    padding: 20px;
}
#send-button {
    background: #0F3D3E !important;
    color: white !important;
    border: none !important;
}
#send-button:hover {
    background: #18595B !important;
}
#refresh-button,
#clear-button {
    border: 1px solid #0F3D3E !important;
    color: #0F3D3E !important;
}
.quick-question {
    min-height: 52px !important;
    white-space: normal !important;
    text-align: left !important;
    background: #FAF8F4 !important;
    color: #0F3D3E !important;
    border: 1px solid #D8D2C8 !important;
    border-radius: 11px !important;
    font-size: 13px !important;
}
.quick-question:hover {
    background: #EFEAE2 !important;
    border-color: #0F3D3E !important;
}
footer {
    display: none !important;
}
"""


@spaces.GPU(duration=120)
def ask_question(question, history):
    """
    Run GDPR model inference inside a Hugging Face ZeroGPU allocation.
    """
    return ask_question_backend(question, history)


def make_quick_handler(prompt_text: str):
    @spaces.GPU(duration=120)
    def handler(history):
        return ask_question_backend(prompt_text, history)

    return handler


with gr.Blocks(
    title="GDPR Compliance Assistant",
) as demo:
    gr.HTML(
        """
        <div id="app-header">
            <h1>GDPR Compliance Assistant</h1>
            <p>
                Ask questions based on GDPR articles collected from GDPR.eu.
            </p>
        </div>
        """
    )

    with gr.Row():
        with gr.Column(scale=1, elem_id="info-card"):
            gr.Markdown(
                """
### GDPR knowledge base

The app reads the GDPR.eu table of contents, collects Articles 1–99, and uses the most relevant articles to answer each question.

The content is cached after the first successful load.
                """
            )

            status = gr.Markdown(INITIAL_STATUS)

            refresh_button = gr.Button(
                "Refresh GDPR website",
                elem_id="refresh-button",
            )

            gr.Markdown(
                """
### Important

This assistant provides general information based on the loaded GDPR text. It does not provide formal legal advice.
                """
            )

        with gr.Column(scale=2, elem_id="chat-card"):
            chatbot = gr.Chatbot(
                label="GDPR Assistant",
                height=500,
                placeholder="Ask something about GDPR...",
            )

            gr.Markdown("#### Quick questions")

            quick_buttons = []

            with gr.Row():
                for prompt in QUICK_QUESTIONS[:3]:
                    button = gr.Button(
                        prompt,
                        elem_classes=["quick-question"],
                    )
                    quick_buttons.append((button, prompt))

            with gr.Row():
                for prompt in QUICK_QUESTIONS[3:]:
                    button = gr.Button(
                        prompt,
                        elem_classes=["quick-question"],
                    )
                    quick_buttons.append((button, prompt))

            with gr.Row():
                prompt_text = gr.Textbox(
                    lines=2,
                    placeholder="Ask a GDPR-related question...",
                    show_label=False,
                    scale=5,
                )

                send_button = gr.Button(
                    "Send",
                    variant="primary",
                    elem_id="send-button",
                    scale=1,
                )

            clear_button = gr.Button(
                "Clear Chat",
                elem_id="clear-button",
            )

    send_button.click(
        fn=ask_question,
        inputs=[prompt_text, chatbot],
        outputs=[chatbot, prompt_text],
    )

    prompt_text.submit(
        fn=ask_question,
        inputs=[prompt_text, chatbot],
        outputs=[chatbot, prompt_text],
    )

    clear_button.click(
        fn=clear_chat,
        inputs=[],
        outputs=[chatbot, prompt_text],
    )

    refresh_button.click(
        fn=refresh_data,
        inputs=[],
        outputs=[status],
    )

    for button, prompt in quick_buttons:
        button.click(
            fn=make_quick_handler(prompt),
            inputs=[chatbot],
            outputs=[chatbot, prompt_text],
        )


if __name__ == "__main__":
    demo.queue(default_concurrency_limit=1)
    demo.launch(css=custom_css)