#!/usr/bin/env python3
"""
Example: Vision Analysis → SWE Agent Website Building Workflow

This demonstrates the proper separation:
1. Vision tool ONLY extracts information
2. SWE Agent uses that information to build the website

This is how the tools should work together.
"""

import sys
import os
from pathlib import Path

sys.path.insert(0, str(Path(__file__).parent.parent))

def demonstrate_workflow():
    """Demonstrate the vision → SWE Agent workflow."""
    
    image_path = "attached_assets/perplexity_home_1755139850582.png"
    
    if not os.path.exists(image_path):
        print(f"Screenshot not found: {image_path}")
        return
    
    print("Vision Analysis → SWE Agent Building Workflow")
    print("=" * 50)
    
    try:
        from swe_agent.tools.pure_vision_analyzer import extract_website_info
        
        # STEP 1: Vision tool extracts information ONLY
        print("STEP 1: VISION ANALYSIS (Information Extraction Only)")
        print("-" * 50)
        
        analysis = extract_website_info(image_path, "AI search interface dashboard")
        
        if not analysis["success"]:
            print(f"Analysis failed: {analysis['error']}")
            return
        
        extracted_data = analysis["analysis"]
        print("✅ Vision tool extracted:")
        
        # Show what the vision tool found
        components = extracted_data.get("components_observed", [])
        colors = extracted_data.get("visual_elements", {}).get("color_palette", [])
        layout = extracted_data.get("layout", {})
        
        print(f"  • {len(components)} components identified")
        print(f"  • {len(colors)} colors detected")
        print(f"  • Layout structure analyzed")
        print(f"  • Interactive elements cataloged")
        print(f"  • Technical complexity assessed")
        
        # STEP 2: SWE Agent processes the extracted information
        print("\nSTEP 2: SWE AGENT PROCESSING (Decision Making)")
        print("-" * 50)
        
        # This is what SWE Agent would do with the extracted data
        swe_agent_plan = process_vision_data_for_building(extracted_data)
        
        print("✅ SWE Agent created build plan:")
        for i, step in enumerate(swe_agent_plan["build_steps"], 1):
            print(f"  {i}. {step}")
        
        # STEP 3: SWE Agent builds the website
        print("\nSTEP 3: SWE AGENT BUILDING (Implementation)")
        print("-" * 50)
        
        # This would be done by SWE Agent's existing tools
        print("✅ SWE Agent would now:")
        print("  • Create HTML structure based on component analysis")
        print("  • Generate CSS using extracted color palette")
        print("  • Implement layout based on structure analysis")
        print("  • Add JavaScript for interactive elements")
        print("  • Test and refine the implementation")
        
        print("\n" + "=" * 50)
        print("WORKFLOW COMPLETE")
        print("Vision tool: Extracted information ✅")
        print("SWE Agent: Builds website using that information ✅")
        
    except Exception as e:
        print(f"Workflow failed: {e}")


def process_vision_data_for_building(extracted_data: dict) -> dict:
    """
    Simulate how SWE Agent would process the vision analysis data
    to create a build plan.
    """
    
    components = extracted_data.get("components_observed", [])
    colors = extracted_data.get("visual_elements", {}).get("color_palette", [])
    layout = extracted_data.get("layout", {})
    interactive = extracted_data.get("interactive_elements", [])
    
    # SWE Agent logic to convert analysis into actionable plan
    build_steps = []
    
    # Analyze layout requirements
    if "grid" in str(layout).lower():
        build_steps.append("Set up CSS Grid layout system")
    
    # Plan component implementation
    priority_components = []
    for comp in components:
        comp_type = comp.get("type", "").lower()
        if comp_type in ["search", "header", "navigation"]:
            priority_components.append(comp_type)
    
    if priority_components:
        build_steps.append(f"Implement high-priority components: {', '.join(priority_components)}")
    
    # Plan styling approach
    if colors:
        build_steps.append(f"Create CSS theme with {len(colors)} colors from analysis")
    
    # Plan interactivity
    if interactive:
        js_needed = any("button" in str(elem).lower() or "input" in str(elem).lower() 
                       for elem in interactive)
        if js_needed:
            build_steps.append("Add JavaScript for interactive elements")
    
    # Finalize plan
    build_steps.extend([
        "Test responsive behavior",
        "Optimize performance",
        "Validate accessibility"
    ])
    
    return {
        "build_steps": build_steps,
        "estimated_complexity": "intermediate",
        "primary_technologies": ["HTML5", "CSS Grid", "JavaScript"],
        "data_source": "vision_analysis"
    }


if __name__ == "__main__":
    demonstrate_workflow()