"""
Main application file for Hugging Face Space Creator
Enterprise-grade Gradio application for converting Python code to deployable Gradio apps
"""

import gradio as gr
import tempfile
import os
import sys
from pathlib import Path

# Add utils and components to path
sys.path.append(str(Path(__file__).parent))

from utils.converter import convert_code
from utils.deployer import deploy_to_space
from utils.file_handler import (
    create_zip_archive,
    read_file_content,
    parse_notebook,
    save_individual_file
)
from utils.validator import validate_inputs

from components.header import create_header
from components.sidebar import create_sidebar
from components.api_guide import create_api_guide
from components.file_downloader import create_file_download_section

# Constants
MAX_FILE_SIZE = 10 * 1024 * 1024  # 10MB
SUPPORTED_EXTENSIONS = ['.py', '.ipynb', '.txt']


class SpaceCreatorApp:
    """Main application class for Hugging Face Space Creator"""
    
    def __init__(self):
        self.temp_files = []
        self.current_step = 1
        self.generated_files = {}
        
    def cleanup(self):
        """Clean up temporary files"""
        for file_path in self.temp_files:
            try:
                if os.path.exists(file_path):
                    os.remove(file_path)
            except:
                pass
        self.temp_files = []
    
    def process_step1(self, input_text, input_file, groq_api_key):
        """Step 1: Convert code to Gradio app"""
        try:
            # Validate inputs
            validation_errors = validate_inputs(groq_api_key, None, None, "Convert Only")
            if validation_errors:
                return None, None, None, None, self._format_errors(validation_errors), 1
            
            # Get source code
            code_content = self._extract_code(input_text, input_file)
            if not code_content.strip():
                return None, None, None, None, "Please provide Python code to convert.", 1
            
            # Convert code
            conversion_result = convert_code(code_content, groq_api_key)
            
            # Store generated files
            self.generated_files = {
                "app.py": conversion_result["app_py"],
                "requirements.txt": conversion_result["requirements_txt"],
                "README.md": conversion_result["readme_md"]
            }
            
            # Create individual files for download
            file_paths = {}
            for filename, content in self.generated_files.items():
                file_path = save_individual_file(filename, content)
                self.temp_files.append(file_path)
                file_paths[filename] = file_path
            
            status = self._create_status_message("success", "Code conversion successful!")
            return (file_paths["app.py"], file_paths["requirements.txt"], 
                   file_paths["README.md"], None, status, 2)
            
        except Exception as e:
            error_msg = self._create_status_message("error", f"Conversion failed: {str(e)}")
            return None, None, None, None, error_msg, 1
    
    def process_step2(self, hf_token, space_name, deploy_mode):
        """Step 2: Deploy to Hugging Face"""
        try:
            if deploy_mode != "Deploy to Hugging Face Space":
                status = self._create_status_message("info", "Skipping deployment as requested.")
                return None, status, 2
            
            # Validate deployment inputs
            validation_errors = validate_inputs(None, hf_token, space_name, "Deploy")
            if validation_errors:
                return None, self._format_errors(validation_errors), 2
            
            # Deploy to Hugging Face
            deploy_url = deploy_to_space(hf_token, space_name, self.generated_files)
            
            # Create zip archive of all files
            zip_bytes = create_zip_archive(self.generated_files)
            zip_path = save_individual_file("gradio_app_full_package.zip", zip_bytes, binary=True)
            self.temp_files.append(zip_path)
            
            status = self._create_status_message("success", 
                f"Deployment successful! Space URL: {deploy_url}")
            return zip_path, status, 3
            
        except Exception as e:
            error_msg = self._create_status_message("error", f"Deployment failed: {str(e)}")
            return None, error_msg, 2
    
    def _extract_code(self, input_text, input_file):
        """Extract code from text or file"""
        code_content = ""
        if input_file is not None:
            file_content = read_file_content(input_file)
            if input_file.name.endswith('.ipynb') if hasattr(input_file, 'name') else False:
                with tempfile.NamedTemporaryFile(mode='w', suffix='.ipynb', delete=False, encoding='utf-8') as tmp:
                    tmp.write(file_content)
                    tmp_path = tmp.name
                try:
                    code_content = parse_notebook(tmp_path)
                finally:
                    os.unlink(tmp_path)
            else:
                code_content = file_content
        elif input_text.strip():
            code_content = input_text
        return code_content
    
    def _format_errors(self, errors):
        """Format validation errors"""
        error_html = '<div class="error-message"><h4>Validation Errors:</h4><ul>'
        for error in errors:
            error_html += f'<li>{error}</li>'
        error_html += '</ul></div>'
        return error_html
    
    def _create_status_message(self, msg_type, message):
        """Create formatted status message"""
        icons = {
            "success": "check_circle",
            "error": "error",
            "warning": "warning",
            "info": "info"
        }
        colors = {
            "success": "#10B981",
            "error": "#EF4444",
            "warning": "#F59E0B",
            "info": "#3B82F6"
        }
        
        return f'''
        <div class="status-message {msg_type}">
            <span class="material-icons" style="color: {colors[msg_type]}; vertical-align: middle;">
                {icons[msg_type]}
            </span>
            <span style="vertical-align: middle; margin-left: 8px;">{message}</span>
        </div>
        '''


def create_app():
    """Create the Gradio application interface"""
    app = SpaceCreatorApp()
    
    with gr.Blocks(
        title="Hugging Face Space Creator",
        theme=gr.themes.Soft(primary_hue="yellow"),
        css="static/css/style.css"
    ) as demo:
        
        # Custom CSS
        gr.HTML('<link href="https://fonts.googleapis.com/icon?family=Material+Icons" rel="stylesheet">')
        
        # Header
        create_header()
        
        with gr.Row():
            # Sidebar with steps
            with gr.Column(scale=1, min_width=300):
                current_step = gr.State(1)
                sidebar = create_sidebar(current_step)
            
            # Main content area
            with gr.Column(scale=3):
                # Step 1: Code Input and Conversion
                with gr.Group(visible=True) as step1_group:
                    gr.Markdown("### Step 1: Provide Your Code")
                    
                    with gr.Tabs():
                        with gr.Tab("Upload File", id="upload_tab"):
                            file_input = gr.File(
                                label="Upload Python or Jupyter Notebook",
                                file_types=SUPPORTED_EXTENSIONS,
                                type="filepath"
                            )
                        
                        with gr.Tab("Paste Code", id="paste_tab"):
                            text_input = gr.Textbox(
                                label="Python Code",
                                lines=20,
                                placeholder="# Paste your Python code here...\n\n# Example:\ndef add(a, b):\n    return a + b\n\ndef greet(name):\n    return f\"Hello, {name}!\"",
                                elem_id="code_editor"
                            )
                    
                    gr.Markdown("### Step 1b: API Configuration")
                    with gr.Row():
                        with gr.Column():
                            groq_api_key = gr.Textbox(
                                label="Groq API Key",
                                type="password",
                                placeholder="Enter your Groq API key starting with gsk_",
                                info="Required for AI-powered conversion"
                            )
                    
                    # API Key Creation Guide
                    api_guide = create_api_guide()
                    
                    with gr.Row():
                        convert_btn = gr.Button(
                            "Convert Code",
                            variant="primary",
                            size="lg",
                            elem_id="convert_btn"
                        )
                
                # Step 2: Generated Files
                with gr.Group(visible=False) as step2_group:
                    gr.Markdown("### Step 2: Generated Files")
                    
                    with gr.Row():
                        with gr.Column():
                            app_py_download = gr.File(
                                label="app.py",
                                file_types=[".py"],
                                interactive=False
                            )
                        
                        with gr.Column():
                            requirements_download = gr.File(
                                label="requirements.txt",
                                file_types=[".txt"],
                                interactive=False
                            )
                        
                        with gr.Column():
                            readme_download = gr.File(
                                label="README.md",
                                file_types=[".md"],
                                interactive=False
                            )
                    
                    gr.Markdown("### Step 2b: Deployment Options")
                    
                    with gr.Row():
                        with gr.Column():
                            hf_token = gr.Textbox(
                                label="Hugging Face Token",
                                type="password",
                                placeholder="Enter your Hugging Face token starting with hf_",
                                info="Required for deployment"
                            )
                        
                        with gr.Column():
                            space_name = gr.Textbox(
                                label="Space Name",
                                placeholder="my-gradio-application",
                                info="Lowercase letters, numbers, and hyphens only"
                            )
                    
                    deploy_mode = gr.Radio(
                        choices=["Download Only", "Deploy to Hugging Face Space"],
                        label="Select Action",
                        value="Download Only",
                        elem_id="deploy_mode"
                    )
                    
                    with gr.Row():
                        back_btn_step2 = gr.Button("Back", variant="secondary")
                        deploy_btn = gr.Button("Proceed to Deployment", variant="primary")
                
                # Step 3: Deployment Results
                with gr.Group(visible=False) as step3_group:
                    gr.Markdown("### Step 3: Deployment Complete")
                    
                    with gr.Row():
                        with gr.Column():
                            full_package_download = gr.File(
                                label="Complete Application Package",
                                file_types=[".zip"],
                                interactive=False
                            )
                    
                    deployment_status = gr.Markdown()
                    
                    with gr.Row():
                        back_btn_step3 = gr.Button("Start New Project", variant="secondary")
                        finish_btn = gr.Button("Finish", variant="primary")
                
                # Status output
                status_output = gr.HTML(
                    value='<div class="status-container"></div>',
                    elem_id="status_output"
                )
        
        # Event handlers
        convert_btn.click(
            fn=app.process_step1,
            inputs=[text_input, file_input, groq_api_key],
            outputs=[
                app_py_download,
                requirements_download,
                readme_download,
                full_package_download,
                status_output,
                current_step
            ]
        ).then(
            fn=lambda step: (gr.update(visible=step==1), gr.update(visible=step==2), gr.update(visible=step==3)),
            inputs=[current_step],
            outputs=[step1_group, step2_group, step3_group]
        )
        
        deploy_btn.click(
            fn=app.process_step2,
            inputs=[hf_token, space_name, deploy_mode],
            outputs=[full_package_download, status_output, current_step]
        ).then(
            fn=lambda step: (gr.update(visible=step==1), gr.update(visible=step==2), gr.update(visible=step==3)),
            inputs=[current_step],
            outputs=[step1_group, step2_group, step3_group]
        )
        
        back_btn_step2.click(
            fn=lambda: (1, gr.update(visible=True), gr.update(visible=False), gr.update(visible=False)),
            outputs=[current_step, step1_group, step2_group, step3_group]
        )
        
        back_btn_step3.click(
            fn=lambda: (1, gr.update(visible=True), gr.update(visible=False), gr.update(visible=False)),
            outputs=[current_step, step1_group, step2_group, step3_group]
        ).then(
            fn=app.cleanup,
            inputs=None,
            outputs=None
        )
        
        finish_btn.click(
            fn=app.cleanup,
            inputs=None,
            outputs=None
        )
    
    return demo


if __name__ == "__main__":
    print("Starting Hugging Face Space Creator...")
    print("=" * 50)
    print("Enterprise-grade Python to Gradio App Converter")
    print("=" * 50)
    
    app = create_app()
    app.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=False,
        debug=True,
        favicon_path=None
    )