"""
Main Entry Point
Demonstrates orchestrator usage with example workflows.
No business logic - just a thin interface layer.
"""
from dotenv import load_dotenv
load_dotenv()

from core.orchestrator import Orchestrator


print(">>> MAIN FILE LOADED <<<")


def example_text_proof():
    """Example: Create proof from text content."""
    print("\n=== Example 1: Text Proof Creation ===")
    
    orchestrator = Orchestrator()
    
    # Create proof from text
    result = orchestrator.create_proof({
        "type": "text",
        "content": "This is a confidential document that needs timestamping."
    })
    
    if result["success"]:
        print(f"✓ Proof created: {result['proof_id']}")
        print(f"  Hash: {result['proof'].content_hash}")
        print(f"  Timestamp: {result['proof'].timestamp}")
        
        # AI explanation (if available)
        if "assistant" in result:
            print(f"\n  🤖 AI Explanation:")
            print(f"  {result['assistant']['response']}")
    else:
        print(f"✗ Failed: {result['message']}")
    
    return result


def example_file_proof():
    """Example: Create proof from file content."""
    print("\n=== Example 2: File Proof Creation ===")
    
    orchestrator = Orchestrator()
    
    # Simulate file content
    file_content = b"Binary file content here"
    
    result = orchestrator.create_proof({
        "type": "file",
        "content": file_content,
        "filename": "document.pdf"
    })
    
    if result["success"]:
        print(f"✓ Proof created: {result['proof_id']}")
        print(f"  Hash: {result['proof'].content_hash}")
        print(f"  File: {result['proof'].metadata['filename']}")
        print(f"  OCR Status: {result['proof'].ocr_status}")
        if result['proof'].extracted_text:
            print(f"  Extracted Text: {result['proof'].extracted_text[:100]}...")
    else:
        print(f"✗ Failed: {result['message']}")
    
    return result


def example_image_ocr():
    """Example: Create proof from image with OCR."""
    print("\n=== Example 5: Image Proof with OCR ===")
    
    orchestrator = Orchestrator()
    
    # Note: In real usage, this would be actual image bytes
    # For demo, we'll just show the structure
    print("Note: This example requires actual image bytes with text.")
    print("Skipping OCR demo - install Tesseract and provide real image to test.")
    
    # Example structure:
    # with open("invoice.png", "rb") as f:
    #     image_bytes = f.read()
    # 
    # result = orchestrator.create_proof({
    #     "type": "file",
    #     "content": image_bytes,
    #     "filename": "invoice.png"
    # })
    # 
    # if result["success"]:
    #     print(f"✓ Proof created with OCR")
    #     print(f"  Extracted: {result['proof'].extracted_text}")
    
    print("✓ OCR integration ready for image inputs")


def example_ai_assistant():
    """Example: Ask AI assistant about proofs."""
    print("\n=== Example 6: AI Assistant Q&A ===")
    
    orchestrator = Orchestrator()
    
    if not orchestrator.ai_sidecar.enabled:
        print("⚠️  AI assistant is disabled")
        print("   Enable with: AI_ENABLED=true GEMINI_API_KEY=your-key")
        return
    
    # Create a proof first
    create_result = orchestrator.create_proof({
        "type": "text",
        "content": "Important contract signed on December 24, 2024"
    })
    
    if not create_result["success"]:
        print("Failed to create proof for demo")
        return
    
    proof_id = create_result["proof_id"]
    
    # Ask AI about the proof
    questions = [
        "What does this proof guarantee?",
        "How can I verify this proof later?",
        "What should I do with this proof ID?"
    ]
    
    for question in questions:
        print(f"\n  Q: {question}")
        result = orchestrator.ask_assistant(question, proof_id)
        
        if result["success"]:
            print(f"  🤖 A: {result['assistant']['response']}")
        else:
            print(f"  ✗ {result['message']}")


def example_verification():
    """Example: Verify an existing proof."""
    print("\n=== Example 3: Proof Verification ===")
    
    orchestrator = Orchestrator()
    
    # First create a proof
    original_content = "Verify this content"
    create_result = orchestrator.create_proof({
        "type": "text",
        "content": original_content
    })
    
    if not create_result["success"]:
        print("Failed to create proof for verification")
        return
    
    proof_id = create_result["proof_id"]
    print(f"Created proof: {proof_id}")
    
    # Verify with correct content
    verify_result = orchestrator.verify_proof(
        proof_id,
        original_content.encode('utf-8')
    )
    
    if verify_result["success"]:
        vr = verify_result["verification_result"]
        status = "✓ VALID" if vr.is_valid else "✗ INVALID"
        print(f"{status}: {vr.message}")
        
        # AI explanation (if available)
        if "assistant" in verify_result:
            print(f"\n  🤖 AI Explanation:")
            print(f"  {verify_result['assistant']['response']}")
    else:
        print(f"✗ Verification failed: {verify_result['message']}")
    
    # Verify with tampered content
    print("\nAttempting verification with tampered content:")
    tampered_result = orchestrator.verify_proof(
        proof_id,
        b"Tampered content"
    )
    
    if tampered_result["success"]:
        vr = tampered_result["verification_result"]
        status = "✓ VALID" if vr.is_valid else "✗ INVALID"
        print(f"{status}: {vr.message}")


def example_retrieval():
    """Example: Retrieve a stored proof."""
    print("\n=== Example 4: Proof Retrieval ===")
    
    orchestrator = Orchestrator()
    
    # Create a proof first
    create_result = orchestrator.create_proof({
        "type": "text",
        "content": "Retrieve this later"
    })
    
    if not create_result["success"]:
        print("Failed to create proof")
        return
    
    proof_id = create_result["proof_id"]
    
    # Retrieve it
    get_result = orchestrator.get_proof(proof_id)
    
    if get_result["success"]:
        proof = get_result["proof"]
        print(f"✓ Retrieved proof: {proof.proof_id}")
        print(f"  Hash: {proof.content_hash}")
        print(f"  Size: {proof.content_size} bytes")
        print(f"  Created: {proof.timestamp}")
    else:
        print(f"✗ Failed: {get_result['message']}")


def main():
    """Run all examples."""
    print("=" * 60)
    print("PROOF-OF-EXISTENCE SYSTEM - Priority-3 MVP")
    print("Deterministic Core + OCR + AI Sidecar")
    print("=" * 60)
    
    try:
        example_text_proof()
        example_file_proof()
        example_verification()
        example_retrieval()
        example_image_ocr()
        example_ai_assistant()
        
        print("\n" + "=" * 60)
        print("All examples completed successfully!")
        print("=" * 60)
        
    except Exception as e:
        print(f"\n✗ Error running examples: {str(e)}")


if __name__ == "__main__":
    main()