import os
from openai import OpenAI
import gradio as gr
from typing import Callable
import re
import base64
import modelscope_studio.components.base as ms
import modelscope_studio.components.legacy as legacy
import modelscope_studio.components.antd as antd

__version__ = "0.0.1"

# Add these constants at the top of the file
SystemPrompt = """You are an expert web developer specializing in creating clean, efficient, and modern web applications.
Your task is to write complete, self-contained HTML files that include all necessary CSS and JavaScript.
Focus on:
- Writing clear, maintainable code
- Following best practices
- Creating responsive designs
- Adding appropriate styling and interactivity
Return only the complete HTML code without any additional explanation."""

DEMO_LIST = [
    {
        "card": {"index": 0},
        "title": "Simple Button",
        "description": "Create a button that changes color when clicked"
    },
    {
        "card": {"index": 1},
        "title": "Todo List",
        "description": "Create a simple todo list with add/remove functionality"
    },
    {
        "card": {"index": 2},
        "title": "Timer App",
        "description": "Create a countdown timer with start/pause/reset controls"
    }
]


def get_fn(model_name: str, preprocess: Callable, postprocess: Callable, api_key: str):
    def fn(message, history):
        inputs = preprocess(message, history)
        client = OpenAI(
            api_key=api_key,
            base_url="https://api.perplexity.ai"
        )
        completion = client.chat.completions.create(
            model=model_name,
            messages=inputs["messages"],
            stream=True,
        )
        response_text = ""
        for chunk in completion:
            delta = chunk.choices[0].delta.content or ""
            response_text += delta
            yield postprocess(response_text)

    return fn


def get_interface_args(pipeline):
    if pipeline == "chat":
        inputs = None
        outputs = None

        def preprocess(message, history):
            messages = []
            for user_msg, assistant_msg in history:
                messages.append({"role": "user", "content": user_msg})
                messages.append({"role": "assistant", "content": assistant_msg})
            messages.append({"role": "user", "content": message})
            return {"messages": messages}

        postprocess = lambda x: x  # No post-processing needed
    else:
        # Add other pipeline types when they will be needed
        raise ValueError(f"Unsupported pipeline type: {pipeline}")
    return inputs, outputs, preprocess, postprocess


def get_pipeline(model_name):
    # Determine the pipeline type based on the model name
    # For simplicity, assuming all models are chat models at the moment
    return "chat"


def registry(
    name: str, 
    token: str | None = None,
    examples: list | None = None,
    coder: bool = False,  # Add coder parameter
    **kwargs
):
    """
    Create a Gradio Interface for a model on Perplexity.

    Parameters:
        - name (str): The name of the model
        - token (str, optional): The API key
        - examples (list, optional): Example inputs
        - coder (bool, optional): Whether to use coding interface
    """
    api_key = token or os.environ.get("PERPLEXITY_API_KEY")
    if not api_key:
        raise ValueError("PERPLEXITY_API_KEY environment variable is not set.")

    if coder:
        interface = gr.Blocks(css="""
            .left_header {
                text-align: center;
                margin-bottom: 20px;
            }

            .right_panel {
                background: white;
                border-radius: 8px;
                overflow: hidden;
                box-shadow: 0 2px 8px rgba(0,0,0,0.15);
            }

            .render_header {
                background: #f5f5f5;
                padding: 8px;
                border-bottom: 1px solid #e8e8e8;
            }

            .header_btn {
                display: inline-block;
                width: 12px;
                height: 12px;
                border-radius: 50%;
                margin-right: 8px;
                background: #ff5f56;
            }

            .header_btn:nth-child(2) {
                background: #ffbd2e;
            }

            .header_btn:nth-child(3) {
                background: #27c93f;
            }

            .right_content {
                padding: 24px;
                height: 920px;
                display: flex;
                align-items: center;
                justify-content: center;
            }

            .html_content {
                height: 920px;
                width: 100%;
            }

            .history_chatbot {
                height: 100%;
            }
        """)
        with interface:
            history = gr.State([])
            setting = gr.State({"system": SystemPrompt})

            with ms.Application() as app:
                with antd.ConfigProvider():
                    with antd.Row(gutter=[32, 12]) as layout:
                        # Left Column
                        with antd.Col(span=24, md=8):
                            with antd.Flex(vertical=True, gap="middle", wrap=True):
                                header = gr.HTML("""
                                    <div class="left_header">
                                        <h1>Perplexity Code Generator</h1>
                                    </div>
                                """)
                                
                                input = antd.InputTextarea(
                                    size="large",
                                    allow_clear=True,
                                    placeholder="Describe the web application you want to create"
                                )
                                btn = antd.Button("Generate", type="primary", size="large")
                                clear_btn = antd.Button("Clear History", type="default", size="large")

                                antd.Divider("Examples")
                                with antd.Flex(gap="small", wrap=True):
                                    with ms.Each(DEMO_LIST):
                                        with antd.Card(hoverable=True, as_item="card") as demoCard:
                                            antd.CardMeta()
                                
                                antd.Divider("Settings")
                                with antd.Flex(gap="small", wrap=True):
                                    settingPromptBtn = antd.Button("⚙️ System Prompt", type="default")
                                    codeBtn = antd.Button("🧑‍💻 View Code", type="default")
                                    historyBtn = antd.Button("📜 History", type="default")

                            # Modals and Drawers
                            with antd.Modal(open=False, title="System Prompt", width="800px") as system_prompt_modal:
                                systemPromptInput = antd.InputTextarea(SystemPrompt, auto_size=True)

                            with antd.Drawer(open=False, title="Code", placement="left", width="750px") as code_drawer:
                                code_output = legacy.Markdown()

                            with antd.Drawer(open=False, title="History", placement="left", width="900px") as history_drawer:
                                history_output = legacy.Chatbot(
                                    show_label=False,
                                    height=960,
                                    elem_classes="history_chatbot"
                                )

                        # Right Column
                        with antd.Col(span=24, md=16):
                            with ms.Div(elem_classes="right_panel"):
                                gr.HTML('''
                                    <div class="render_header">
                                        <span class="header_btn"></span>
                                        <span class="header_btn"></span>
                                        <span class="header_btn"></span>
                                    </div>
                                ''')
                                with antd.Tabs(active_key="empty", render_tab_bar="() => null") as state_tab:
                                    with antd.Tabs.Item(key="empty"):
                                        empty = antd.Empty(
                                            description="Enter your request to generate code",
                                            elem_classes="right_content"
                                        )
                                    with antd.Tabs.Item(key="loading"):
                                        loading = antd.Spin(
                                            True,
                                            tip="Generating code...",
                                            size="large",
                                            elem_classes="right_content"
                                        )
                                    with antd.Tabs.Item(key="render"):
                                        preview = gr.HTML(elem_classes="html_content")

            # Event Handlers
            def demo_card_click(e: gr.EventData):
                index = e._data['component']['index']
                return DEMO_LIST[index]['description']

            def send_to_preview(code):
                encoded_html = base64.b64encode(code.encode('utf-8')).decode('utf-8')
                data_uri = f"data:text/html;charset=utf-8;base64,{encoded_html}"
                return f'<iframe src="{data_uri}" width="100%" height="920px"></iframe>'

            def remove_code_block(text):
                # Look for HTML code block first
                html_pattern = r'```html\n(.*?)\n```'
                match = re.search(html_pattern, text, re.DOTALL)
                if match:
                    return match.group(1).strip()
                
                # If no HTML block found, look for any code block
                code_pattern = r'```(?:\w+)?\n(.*?)\n```'
                match = re.search(code_pattern, text, re.DOTALL)
                if match:
                    return match.group(1).strip()
                
                # If no code block found, return the whole text
                return text.strip()

            def generate_code(query, setting, history):
                messages = []
                messages.append({"role": "system", "content": setting["system"]})
                
                for h in history:
                    messages.append({"role": "user", "content": h[0]})
                    messages.append({"role": "assistant", "content": h[1]})
                
                messages.append({"role": "user", "content": query})
                
                client = OpenAI(
                    api_key=api_key,
                    base_url="https://api.perplexity.ai"
                )
                
                response = client.chat.completions.create(
                    model=name,
                    messages=messages,
                    stream=True
                )
                
                response_text = ""
                for chunk in response:
                    if chunk.choices[0].delta.content:
                        response_text += chunk.choices[0].delta.content
                        # Format the code for display
                        formatted_response = f"```html\n{response_text}\n```"
                        # Return all 5 required outputs
                        yield (
                            formatted_response,  # code_output (modelscopemarkdown)
                            history,            # state
                            None,              # preview (html)
                            gr.update(active_key="loading"),  # state_tab (antdtabs)
                            gr.update(open=True)  # code_drawer (antddrawer)
                        )
                
                clean_code = remove_code_block(response_text)
                new_history = history + [(query, response_text)]
                
                # Final yield with all outputs
                yield (
                    f"```html\n{clean_code}\n```",  # code_output (modelscopemarkdown)
                    new_history,    # state
                    send_to_preview(clean_code),  # preview (html)
                    gr.update(active_key="render"),  # state_tab (antdtabs)
                    gr.update(open=False)  # code_drawer (antddrawer)
                )

            # Wire up event handlers
            demoCard.click(demo_card_click, outputs=[input])
            settingPromptBtn.click(lambda: gr.update(open=True), outputs=[system_prompt_modal])
            system_prompt_modal.ok(
                lambda input: ({"system": input}, gr.update(open=False)),
                inputs=[systemPromptInput],
                outputs=[setting, system_prompt_modal]
            )
            system_prompt_modal.cancel(lambda: gr.update(open=False), outputs=[system_prompt_modal])
            
            codeBtn.click(lambda: gr.update(open=True), outputs=[code_drawer])
            code_drawer.close(lambda: gr.update(open=False), outputs=[code_drawer])
            
            historyBtn.click(
                lambda h: (gr.update(open=True), h),
                inputs=[history],
                outputs=[history_drawer, history_output]
            )
            history_drawer.close(lambda: gr.update(open=False), outputs=[history_drawer])
            
            btn.click(
                generate_code,
                inputs=[input, setting, history],
                outputs=[code_output, history, preview, state_tab, code_drawer]
            )
            
            clear_btn.click(lambda: [], outputs=[history])

        return interface

    # Continue with existing chat interface code...
    pipeline = get_pipeline(name)
    inputs, outputs, preprocess, postprocess = get_interface_args(pipeline)
    fn = get_fn(name, preprocess, postprocess, api_key)

    if examples:
        kwargs["examples"] = examples

    if pipeline == "chat":
        interface = gr.ChatInterface(fn=fn, **kwargs)
    else:
        interface = gr.Interface(fn=fn, inputs=inputs, outputs=outputs, **kwargs)

    return interface