#!/usr/bin/env python3
"""
Oliver Metadata Tool - Web Interface
Universal metadata creation and management tool for files.
Flask-based web app for local or server deployment.
Supports multiple metadata sources: Excel, AI, manual entry, and file import.
"""

from flask import Flask, render_template, request, jsonify, send_file
from werkzeug.utils import secure_filename  # noqa: F401 - kept as fallback
from pathlib import Path
import os
import tempfile
import threading
import webbrowser
from time import sleep
import shutil
import unicodedata
import secrets

from src.file_detector import FileDetector, FileType
from src.excel_metadata_lookup import ExcelMetadataLookup
from src.config import Config
from src.metadata_analyzer import MetadataAnalyzer
from src.metadata_importer import MetadataImporter
from src.template_manager import TemplateManager
from src.auth import login_required, authenticate_user, create_user_session, destroy_user_session, get_current_user, is_sso_enabled, get_sso_instance, cleanup_sessions
from src.database import Database

def safe_filename(filename):
    """Sanitize filename while preserving Unicode characters (Chinese, Japanese, Korean)."""
    # Normalize unicode
    filename = unicodedata.normalize('NFC', filename)
    # Remove path separators and null bytes
    filename = filename.replace('/', '_').replace('\\', '_').replace('\x00', '')
    # Remove leading/trailing dots and spaces
    filename = filename.strip('. ')
    # If empty, use default
    if not filename:
        filename = 'unnamed_file'
    return filename
from src.extractors.pdf_extractor import PDFExtractor
from src.extractors.image_extractor import ImageExtractor
from src.extractors.office_extractor import OfficeExtractor
from src.extractors.video_extractor import VideoExtractor
from src.updaters.pdf_updater import PDFUpdater
from src.updaters.image_updater import ImageUpdater
from src.updaters.office_updater import OfficeUpdater
from src.updaters.video_updater import VideoUpdater

app = Flask(__name__)
app.config['MAX_CONTENT_LENGTH'] = 500 * 1024 * 1024  # 500MB max file size
app.config['UPLOAD_FOLDER'] = tempfile.mkdtemp()
app.config['SECRET_KEY'] = os.getenv('SECRET_KEY', secrets.token_hex(32))

# Excel file path for metadata lookup
EXCEL_PATH = Path(__file__).parent / "Celum ID to Adobe Asset Path Mapping Spreadsheet (1).xlsx"

# Initialize metadata lookup from Excel
metadata_lookup = None

# Initialize AI analyzer (lazy initialization)
ai_analyzer = None

# Initialize extractors and updaters
extractors = {
    FileType.PDF: PDFExtractor(),
    FileType.IMAGE: ImageExtractor(),
    FileType.OFFICE_DOC: OfficeExtractor(),
    FileType.OFFICE_SHEET: OfficeExtractor(),
    FileType.OFFICE_PRESENTATION: OfficeExtractor(),
    FileType.VIDEO: VideoExtractor()
}

updaters = {
    FileType.PDF: PDFUpdater(),
    FileType.IMAGE: ImageUpdater(),
    FileType.OFFICE_DOC: OfficeUpdater(),
    FileType.OFFICE_SHEET: OfficeUpdater(),
    FileType.OFFICE_PRESENTATION: OfficeUpdater(),
    FileType.VIDEO: VideoUpdater()
}

# Store file processing sessions
sessions = {}

# Store imported metadata from external files
imported_metadata = {}

def get_metadata_lookup():
    """Get or create metadata lookup instance."""
    global metadata_lookup
    if metadata_lookup is None:
        metadata_lookup = ExcelMetadataLookup(str(EXCEL_PATH))
    return metadata_lookup

def get_ai_analyzer():
    """Get or create AI analyzer instance."""
    global ai_analyzer
    if ai_analyzer is None:
        if Config.OPENAI_API_KEY:
            try:
                ai_analyzer = MetadataAnalyzer()
                logger = __import__('logging').getLogger(__name__)
                logger.info("AI analyzer initialized successfully")
            except Exception as e:
                logger = __import__('logging').getLogger(__name__)
                logger.error(f"Failed to initialize AI analyzer: {e}")
                return None
        else:
            return None
    return ai_analyzer

@app.route('/login', methods=['GET', 'POST'])
def login():
    """Login page and handler."""
    if request.method == 'POST':
        username = request.form.get('username', '').strip()
        password = request.form.get('password', '')

        if not username or not password:
            return render_template('login.html', error='Please enter both username and password', sso_enabled=is_sso_enabled())

        # Authenticate user
        result = authenticate_user(username, password)

        if result['success']:
            user = result['user']

            # Create session
            session_id = create_user_session(
                user=user,
                ip_address=request.remote_addr,
                user_agent=request.headers.get('User-Agent')
            )

            if session_id:
                # Set Flask session
                session['user_id'] = user['id']
                session['username'] = user['username']
                session['session_id'] = session_id

                # Redirect to original destination or home
                next_url = request.args.get('next', url_for('index'))
                return redirect(next_url)
            else:
                return render_template('login.html', error='Failed to create session', sso_enabled=is_sso_enabled())
        else:
            return render_template('login.html', error=result.get('error'), sso_enabled=is_sso_enabled())

    # GET request - show login form
    return render_template('login.html', sso_enabled=is_sso_enabled())


@app.route('/logout')
def logout():
    """Logout user."""
    user_id = session.get('user_id')
    session_id = session.get('session_id')

    if session_id:
        destroy_user_session(session_id, user_id)

    session.clear()
    return redirect(url_for('login'))


@app.route('/login/microsoft')
def login_microsoft():
    """Redirect to Microsoft SSO."""
    sso = get_sso_instance()

    if not sso.enabled:
        return render_template('login.html', error='Microsoft SSO not configured', sso_enabled=False)

    # Generate state for CSRF protection
    state = secrets.token_urlsafe(16)
    session['oauth_state'] = state

    auth_url = sso.get_auth_url(state=state)
    if auth_url:
        return redirect(auth_url)
    else:
        return render_template('login.html', error='Failed to generate SSO URL', sso_enabled=is_sso_enabled())


@app.route('/auth/callback')
def auth_callback():
    """Handle Microsoft SSO callback."""
    sso = get_sso_instance()

    # Verify state
    if request.args.get('state') != session.get('oauth_state'):
        return render_template('login.html', error='Invalid state parameter', sso_enabled=is_sso_enabled())

    code = request.args.get('code')
    if not code:
        error_desc = request.args.get('error_description', 'No authorization code')
        return render_template('login.html', error=f'SSO failed: {error_desc}', sso_enabled=is_sso_enabled())

    # Exchange code for token
    result = sso.acquire_token(code)

    if result and 'access_token' in result:
        # Get user info from Microsoft Graph
        user_info = sso.get_user_info(result['access_token'])

        if user_info:
            # Create or update user
            user = sso.create_or_update_user(user_info)

            if user:
                # Create session
                session_id = create_user_session(
                    user=user,
                    ip_address=request.remote_addr,
                    user_agent=request.headers.get('User-Agent')
                )

                if session_id:
                    # Set Flask session
                    session['user_id'] = user['id']
                    session['username'] = user['username']
                    session['session_id'] = session_id

                    return redirect(url_for('index'))

    return render_template('login.html', error='SSO authentication failed', sso_enabled=is_sso_enabled())


@app.route('/')
@login_required
def index():
    """Main page."""
    user = get_current_user()
    return render_template('index.html', username=user['username'] if user else None)

@app.route('/upload', methods=['POST'])
@login_required
def upload_file():
    """Handle multiple file uploads and metadata lookup from Excel."""
    if 'files' not in request.files:
        return jsonify({'error': 'No files provided'}), 400

    files = request.files.getlist('files')
    if not files or files[0].filename == '':
        return jsonify({'error': 'No files selected'}), 400

    # Get metadata source choice (excel, manual, ai, import)
    metadata_source = request.form.get('metadata_source', 'excel')
    import_session_id = request.form.get('import_session_id', '')  # For import source

    results = []
    session_id = str(len(sessions) + 1)
    sessions[session_id] = {
        'files': [],
        'metadata_source': metadata_source,
        'import_session_id': import_session_id
    }

    # Get metadata lookup (only if using Excel source)
    lookup = get_metadata_lookup() if metadata_source == 'excel' else None

    # Get imported metadata (only if using import source)
    import_map = None
    if metadata_source == 'import' and import_session_id and import_session_id in imported_metadata:
        import_map = imported_metadata[import_session_id]
        importer = MetadataImporter()
    elif metadata_source == 'import':
        # Import source selected but no import session available
        return jsonify({'error': 'Please import a metadata file first using the Import button'}), 400

    for file in files:
        try:
            # Save uploaded file
            filename = safe_filename(file.filename)
            filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
            file.save(filepath)

            # Detect file type
            file_type = FileDetector.detect_file_type(filepath)

            if file_type == FileType.UNSUPPORTED:
                results.append({
                    'filename': filename,
                    'error': 'Unsupported file type'
                })
                continue

            # Get extractor for this file type
            extractor = extractors.get(file_type)
            if not extractor:
                results.append({
                    'filename': filename,
                    'error': 'No extractor available'
                })
                continue

            # Read current metadata from file
            old_metadata = extractor.read_metadata(filepath)

            # Generate metadata based on chosen source
            excel_found = False
            new_metadata = {'title': '', 'subject': '', 'keywords': ''}

            if metadata_source == 'excel' and lookup:
                # Lookup metadata from Excel by filename
                excel_data = lookup.lookup_by_filename(filename)

                if excel_data:
                    new_metadata = {
                        'title': excel_data.get('title', ''),
                        'subject': excel_data.get('description', ''),
                        'keywords': ''
                    }
                    excel_found = True
                else:
                    # No Excel data found - use filename as fallback
                    new_metadata = {
                        'title': Path(filename).stem,
                        'subject': f'No metadata found in Excel for {filename}',
                        'keywords': ''
                    }

            elif metadata_source == 'manual':
                # Return empty metadata for user to fill manually
                new_metadata = {
                    'title': Path(filename).stem,  # Suggest filename
                    'subject': '',
                    'keywords': ''
                }

            elif metadata_source == 'ai':
                # AI generation using MetadataAnalyzer
                analyzer = get_ai_analyzer()

                if analyzer:
                    try:
                        # Extract content from file
                        content = extractor.extract_content(str(filepath))

                        if not content or len(content.strip()) < 10:
                            # Not enough content for AI analysis
                            new_metadata = {
                                'title': Path(filename).stem,
                                'subject': 'Insufficient content for AI analysis',
                                'keywords': '',
                                '_ai_error': 'Not enough text content extracted'
                            }
                        else:
                            # Generate metadata with AI
                            new_metadata = analyzer.analyze_content(content, filename, file_type)

                            # Log token usage if available
                            if '_tokens_used' in new_metadata:
                                import logging
                                logging.getLogger(__name__).info(
                                    f"AI tokens used for {filename}: {new_metadata['_tokens_used']}"
                                )

                    except Exception as e:
                        import logging
                        logging.getLogger(__name__).error(f"AI generation failed for {filename}: {e}")
                        new_metadata = {
                            'title': Path(filename).stem,
                            'subject': f'AI generation error: {str(e)}',
                            'keywords': '',
                            '_ai_error': str(e)
                        }
                else:
                    # AI not configured
                    new_metadata = {
                        'title': Path(filename).stem,
                        'subject': 'AI generation not available (OpenAI API key not configured)',
                        'keywords': '',
                        '_ai_error': 'OpenAI API key not configured'
                    }

            elif metadata_source == 'import':
                # Import from external file (CSV, Excel, JSON)
                if import_map and importer:
                    # Look up metadata for this file
                    imported = importer.get_metadata_for_file(import_map, filename)

                    if imported:
                        new_metadata = imported
                        excel_found = True  # Mark as found in import
                    else:
                        # No metadata found in import file
                        new_metadata = {
                            'title': Path(filename).stem,
                            'subject': f'No metadata found in imported file for {filename}',
                            'keywords': ''
                        }
                else:
                    # Import source not available
                    new_metadata = {
                        'title': Path(filename).stem,
                        'subject': 'Import metadata not loaded',
                        'keywords': ''
                    }

            file_info = {
                'success': True,
                'filename': filename,
                'file_type': file_type.value,
                'current_metadata': old_metadata,
                'suggested_metadata': new_metadata,
                'filepath': filepath,
                'metadata_source': metadata_source,
                'excel_found': excel_found
            }

            results.append(file_info)
            sessions[session_id]['files'].append(file_info)

        except Exception as e:
            results.append({
                'filename': file.filename,
                'error': str(e)
            })

    return jsonify({
        'success': True,
        'session_id': session_id,
        'files': results
    })

@app.route('/update', methods=['POST'])
@login_required
def update_metadata():
    """Update file metadata from Excel and save to chosen location."""
    data = request.json
    filepath = data.get('filepath')
    output_dir = data.get('output_dir', '')  # User-selected output directory

    if not filepath or not os.path.exists(filepath):
        return jsonify({'error': 'File not found'}), 404

    try:
        # Detect file type
        file_type = FileDetector.detect_file_type(filepath)

        if file_type == FileType.UNSUPPORTED:
            return jsonify({'error': 'Unsupported file type'}), 400

        # Get updater
        updater = updaters.get(file_type)

        if not updater:
            return jsonify({'error': 'No updater available for this file type'}), 400

        # Lookup metadata from Excel
        filename = Path(filepath).name
        lookup = get_metadata_lookup()
        excel_data = lookup.lookup_by_filename(filename)

        if excel_data:
            new_metadata = {
                'title': excel_data.get('title', ''),
                'subject': excel_data.get('description', ''),  # External Description/Alt Text
                'keywords': ''
            }
        else:
            return jsonify({'error': f'No metadata found in Excel for {filename}'}), 400

        # Copy file to output directory if specified
        if output_dir and os.path.isdir(output_dir):
            output_path = os.path.join(output_dir, filename)
            shutil.copy2(filepath, output_path)
            target_file = output_path
        else:
            target_file = filepath

        # Update the file metadata WITHOUT changing filename
        success = updater.update_metadata(target_file, new_metadata, backup=False)

        if not success:
            return jsonify({'error': 'Failed to update metadata'}), 500

        # Verify update
        verified = updater.verify_metadata(target_file, new_metadata)

        return jsonify({
            'success': True,
            'message': 'Metadata updated successfully',
            'verified': verified,
            'output_path': target_file,
            'metadata': new_metadata
        })

    except Exception as e:
        return jsonify({'error': str(e)}), 500

@app.route('/update-manual', methods=['POST'])
@login_required
def update_manual_metadata():
    """Update file with manually entered metadata."""
    data = request.json
    session_id = data.get('session_id')
    file_index = data.get('file_index')

    # Validate and sanitize metadata
    custom_metadata = {
        'title': data.get('title', '').strip()[:200],
        'subject': data.get('subject', '').strip()[:300],
        'keywords': data.get('keywords', '').strip()[:500]
    }

    # Validate session
    if not session_id or session_id not in sessions:
        return jsonify({'error': 'Invalid or expired session'}), 400

    # Validate file index
    if file_index is None or file_index >= len(sessions[session_id]['files']):
        return jsonify({'error': 'Invalid file index'}), 400

    try:
        # Get file info from session
        file_info = sessions[session_id]['files'][file_index]
        filepath = file_info.get('filepath')

        if not filepath or not os.path.exists(filepath):
            return jsonify({'error': 'File not found'}), 404

        # Detect file type
        file_type = FileDetector.detect_file_type(filepath)

        if file_type == FileType.UNSUPPORTED:
            return jsonify({'error': 'Unsupported file type'}), 400

        # Get updater for this file type
        updater = updaters.get(file_type)

        if not updater:
            return jsonify({'error': 'No updater available for this file type'}), 400

        # Update metadata
        success = updater.update_metadata(filepath, custom_metadata, backup=True)

        if not success:
            return jsonify({'error': 'Failed to update metadata'}), 500

        # Update session with new metadata
        sessions[session_id]['files'][file_index]['suggested_metadata'] = custom_metadata

        # Verify update
        verified = updater.verify_metadata(filepath, custom_metadata)

        return jsonify({
            'status': 'success',
            'message': 'Metadata updated successfully',
            'verified': verified,
            'metadata': custom_metadata
        })

    except Exception as e:
        return jsonify({'error': f'Error updating metadata: {str(e)}'}), 500

@app.route('/download/<filename>')
@login_required
def download_file(filename):
    """Download processed file."""
    filepath = os.path.join(app.config['UPLOAD_FOLDER'], safe_filename(filename))
    if os.path.exists(filepath):
        return send_file(filepath, as_attachment=True)
    return jsonify({'error': 'File not found'}), 404

@app.route('/import-metadata', methods=['POST'])
@login_required
def import_metadata():
    """Import metadata from external file (CSV, Excel, JSON)."""
    if 'import_file' not in request.files:
        return jsonify({'error': 'No file provided'}), 400

    file = request.files['import_file']
    if file.filename == '':
        return jsonify({'error': 'No file selected'}), 400

    try:
        # Save temp file
        import_filename = safe_filename(file.filename)
        temp_path = Path(app.config['UPLOAD_FOLDER']) / import_filename
        file.save(str(temp_path))

        # Import based on file type
        importer = MetadataImporter()
        file_ext = temp_path.suffix.lower()

        if file_ext == '.csv':
            metadata_map = importer.import_from_csv(str(temp_path))
        elif file_ext in ['.xlsx', '.xls']:
            metadata_map = importer.import_from_excel(str(temp_path))
        elif file_ext == '.json':
            metadata_map = importer.import_from_json(str(temp_path))
        else:
            return jsonify({'error': f'Unsupported file format: {file_ext}. Supported: .csv, .xlsx, .xls, .json'}), 400

        # Validate import
        stats = importer.validate_import(metadata_map)

        # Store in global dict with unique session ID
        import_session_id = f"import_{len(imported_metadata) + 1}"
        imported_metadata[import_session_id] = metadata_map

        # Clean up temp file
        temp_path.unlink()

        return jsonify({
            'success': True,
            'import_session_id': import_session_id,
            'stats': stats,
            'message': f'Imported {stats["total_records"]} metadata records from {import_filename}'
        })

    except Exception as e:
        import logging
        logging.getLogger(__name__).error(f"Import failed: {e}")
        return jsonify({'error': f'Import failed: {str(e)}'}), 500

@app.route('/preview-import', methods=['POST'])
@login_required
def preview_import():
    """Preview file structure and suggest field mappings."""
    if 'import_file' not in request.files:
        return jsonify({'error': 'No file provided'}), 400

    file = request.files['import_file']
    if file.filename == '':
        return jsonify({'error': 'No file selected'}), 400

    try:
        # Save temp file
        import_filename = safe_filename(file.filename)
        temp_path = Path(app.config['UPLOAD_FOLDER']) / import_filename
        file.save(str(temp_path))

        # Preview file structure
        importer = MetadataImporter()
        columns, sample_rows, suggestions = importer.preview_file_structure(str(temp_path))

        # Clean up temp file
        temp_path.unlink()

        # Format suggestions for frontend
        formatted_suggestions = {}
        for source_field, suggestion_data in suggestions.items():
            formatted_suggestions[source_field] = {
                'best_match': suggestion_data['best_match'],
                'confidence': round(suggestion_data['confidence'], 2),
                'alternatives': [
                    {'field': alt['field'], 'confidence': round(alt['confidence'], 2)}
                    for alt in suggestion_data.get('alternatives', [])
                ]
            }

        return jsonify({
            'success': True,
            'columns': columns,
            'sample_rows': sample_rows[:5],  # Limit to 5 rows
            'suggestions': formatted_suggestions,
            'filename': import_filename
        })

    except Exception as e:
        import logging
        logging.getLogger(__name__).error(f"Preview failed: {e}")
        # Try to clean up temp file
        try:
            if temp_path.exists():
                temp_path.unlink()
        except:
            pass
        return jsonify({'error': f'Preview failed: {str(e)}'}), 500

@app.route('/stats')
@login_required
def get_stats():
    """Get Excel metadata statistics."""
    try:
        lookup = get_metadata_lookup()
        stats = lookup.get_stats()
        return jsonify({
            'success': True,
            'stats': stats
        })
    except Exception as e:
        return jsonify({'error': str(e)}), 500

# Template Management Endpoints
template_manager = TemplateManager()

@app.route('/templates/list', methods=['GET'])
@login_required
def list_templates():
    """List all available templates."""
    try:
        templates = template_manager.list_templates()
        return jsonify({
            'success': True,
            'templates': templates
        })
    except Exception as e:
        return jsonify({'error': str(e)}), 500

@app.route('/templates/save', methods=['POST'])
@login_required
def save_template():
    """Save a new template."""
    try:
        data = request.json
        name = data.get('name', '').strip()

        if not name:
            return jsonify({'error': 'Template name is required'}), 400

        template = template_manager.create_template(
            name=name,
            title_template=data.get('title', ''),
            subject_template=data.get('subject', ''),
            keywords_template=data.get('keywords', ''),
            description=data.get('description', '')
        )

        success = template_manager.save_template(template)

        if success:
            return jsonify({
                'success': True,
                'message': f'Template "{name}" saved successfully',
                'template': template
            })
        else:
            return jsonify({'error': 'Failed to save template'}), 500

    except Exception as e:
        return jsonify({'error': str(e)}), 500

@app.route('/templates/load/<name>', methods=['GET'])
@login_required
def load_template(name):
    """Load a template by name."""
    try:
        template = template_manager.load_template(name)

        if template:
            return jsonify({
                'success': True,
                'template': template
            })
        else:
            return jsonify({'error': f'Template "{name}" not found'}), 404

    except Exception as e:
        return jsonify({'error': str(e)}), 500

@app.route('/templates/delete/<name>', methods=['DELETE'])
@login_required
def delete_template(name):
    """Delete a template."""
    try:
        success = template_manager.delete_template(name)

        if success:
            return jsonify({
                'success': True,
                'message': f'Template "{name}" deleted successfully'
            })
        else:
            return jsonify({'error': f'Template "{name}" not found'}), 404

    except Exception as e:
        return jsonify({'error': str(e)}), 500

@app.route('/templates/apply', methods=['POST'])
@login_required
def apply_template():
    """Apply a template to generate metadata for files."""
    try:
        data = request.json
        template_name = data.get('template_name', '').strip()
        file_indices = data.get('file_indices', [])
        session_id = data.get('session_id')
        custom_vars = data.get('custom_vars', {})

        if not template_name:
            return jsonify({'error': 'Template name is required'}), 400

        if not session_id or session_id not in sessions:
            return jsonify({'error': 'Invalid or expired session'}), 400

        # Load template
        template = template_manager.load_template(template_name)
        if not template:
            return jsonify({'error': f'Template "{template_name}" not found'}), 404

        # Apply template to each file
        results = []
        for file_index in file_indices:
            if file_index >= len(sessions[session_id]['files']):
                continue

            file_info = sessions[session_id]['files'][file_index]
            filename = file_info.get('filename', 'unknown')

            # Generate metadata from template
            metadata = template_manager.apply_template(
                template=template,
                filename=filename,
                user='web_user',
                custom_vars=custom_vars
            )

            # Update file metadata in session
            sessions[session_id]['files'][file_index]['suggested_metadata'] = metadata

            results.append({
                'file_index': file_index,
                'filename': filename,
                'metadata': metadata
            })

        return jsonify({
            'success': True,
            'message': f'Template applied to {len(results)} file(s)',
            'results': results
        })

    except Exception as e:
        return jsonify({'error': str(e)}), 500

@app.route('/templates/preview', methods=['POST'])
@login_required
def preview_template():
    """Preview template output with sample data."""
    try:
        data = request.json
        template = {
            'name': 'preview',
            'title': data.get('title', ''),
            'subject': data.get('subject', ''),
            'keywords': data.get('keywords', '')
        }

        sample_filename = data.get('sample_filename', 'example.pdf')
        custom_vars = data.get('custom_vars', {})

        preview = template_manager.preview_template(
            template=template,
            sample_filename=sample_filename,
            user='web_user',
            custom_vars=custom_vars
        )

        # Also get available variables
        available_vars = template_manager.get_available_variables()

        return jsonify({
            'success': True,
            'preview': preview,
            'available_variables': available_vars
        })

    except Exception as e:
        return jsonify({'error': str(e)}), 500

def open_browser():
    """Open browser after short delay."""
    sleep(1.5)
    webbrowser.open('http://localhost:5001')

if __name__ == '__main__':
    print("="*60)
    print(f"{Config.APP_NAME} v{Config.APP_VERSION} - Web Interface")
    print("="*60)

    # Check dependencies
    print("\n🔍 Checking dependencies...")

    # Check Excel file
    if not EXCEL_PATH.exists():
        print(f"⚠️  Warning: Excel file not found at {EXCEL_PATH}")
        print("   Excel metadata lookup will not be available")
        print("   Please ensure the Excel file is in the project root")
    else:
        print(f"✓ Excel file found: {EXCEL_PATH.name}")

    # Check OpenAI API key (optional)
    if Config.OPENAI_API_KEY:
        print("✓ OpenAI API key configured (AI metadata generation available)")
    else:
        print("ℹ️  OpenAI API key not configured (AI generation disabled)")

    # Check ExifTool (optional)
    if Config.check_exiftool():
        print("✓ ExifTool available for enhanced metadata operations")
    else:
        print("ℹ️  ExifTool not installed (using Python libraries)")

    print("\nMetadata sources available:")
    print("  • Excel lookup (Celum ID mapping)")
    if Config.OPENAI_API_KEY:
        print("  • AI generation (OpenAI)")
    print("  • Manual entry")
    print("  • File import (CSV/Excel/JSON)")

    print("\nStarting server...")
    print("Opening browser at http://localhost:5001")
    print("\nPress Ctrl+C to stop the server")
    print("="*60)

    # Open browser in background
    threading.Thread(target=open_browser, daemon=True).start()

    # Run Flask app
    app.run(debug=False, port=5001, host='127.0.0.1')