import logging from datetime import datetime, timedelta from typing import Dict, Any, List from ..integrations.integration_manager import IntegrationManager # Set up logging logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) def create_cross_platform_content( title: str, content: str, platforms: List[str], content_type: str, target_audience: Dict[str, Any], industry: str, keywords: List[str] ) -> Dict[str, Any]: """Create and optimize content for multiple platforms.""" try: # Initialize integration manager integration_manager = IntegrationManager() # Prepare content item content_item = { 'title': title, 'content': content, 'content_type': content_type, 'keywords': keywords, 'target_audience': target_audience, 'industry': industry } # Get platform suggestions suggestions = integration_manager.get_platform_suggestions( content=content_item, platforms=platforms ) # Validate content for each platform validation_results = {} for platform in platforms: validation = integration_manager.validate_platform_content( content=content_item, platform=platform ) validation_results[platform] = validation # Optimize content for each platform optimized_content = integration_manager.optimize_cross_platform_content( content=content_item, platforms=platforms ) return { 'original_content': content_item, 'platform_suggestions': suggestions, 'validation_results': validation_results, 'optimized_content': optimized_content } except Exception as e: logger.error(f"Error creating cross-platform content: {str(e)}") return { 'error': str(e) } def create_content_calendar( start_date: datetime, end_date: datetime, platforms: List[str], content_types: List[str], target_audience: Dict[str, Any], industry: str, keywords: List[str] ) -> Dict[str, Any]: """Create a cross-platform content calendar.""" try: # Initialize integration manager integration_manager = IntegrationManager() # Create calendar calendar = integration_manager.create_cross_platform_calendar( start_date=start_date, end_date=end_date, platforms=platforms, content_types=content_types, target_audience=target_audience, industry=industry, keywords=keywords ) return calendar except Exception as e: logger.error(f"Error creating content calendar: {str(e)}") return { 'error': str(e) } def main(): """Main function to demonstrate integration manager usage.""" # Example content details title = "The Future of AI in Content Marketing" content = """ Artificial Intelligence is revolutionizing the way we approach content marketing. From automated content generation to personalized recommendations, AI tools are helping marketers create more engaging and effective content strategies. Key points: 1. AI-powered content generation 2. Personalized content recommendations 3. Automated content optimization 4. Data-driven content strategy 5. Future trends in AI marketing """ # Platform and content settings platforms = ['instagram', 'twitter', 'linkedin', 'blog', 'facebook'] content_type = 'article' target_audience = { 'age_range': '25-34', 'interests': ['technology', 'marketing', 'AI'], 'location': 'global', 'profession': 'marketing professionals' } industry = 'technology' keywords = ['AI', 'content marketing', 'automation', 'personalization'] # Create cross-platform content logger.info("Creating cross-platform content...") content_result = create_cross_platform_content( title=title, content=content, platforms=platforms, content_type=content_type, target_audience=target_audience, industry=industry, keywords=keywords ) # Print content results logger.info("\nCross-Platform Content Results:") logger.info("===============================") # Print platform suggestions logger.info("\nPlatform Suggestions:") for platform, suggestions in content_result['platform_suggestions'].items(): logger.info(f"\n{platform.upper()}:") for key, value in suggestions.items(): logger.info(f" {key}: {value}") # Print validation results logger.info("\nValidation Results:") for platform, validation in content_result['validation_results'].items(): logger.info(f"\n{platform.upper()}:") logger.info(f" Valid: {validation['is_valid']}") if not validation['is_valid']: logger.info(f" Error: {validation.get('error', 'N/A')}") # Print optimized content logger.info("\nOptimized Content:") for platform, optimized in content_result['optimized_content'].items(): logger.info(f"\n{platform.upper()}:") for key, value in optimized.items(): logger.info(f" {key}: {value}") # Create content calendar logger.info("\nCreating content calendar...") start_date = datetime.now() end_date = start_date + timedelta(days=30) calendar_result = create_content_calendar( start_date=start_date, end_date=end_date, platforms=platforms, content_types=[content_type], target_audience=target_audience, industry=industry, keywords=keywords ) # Print calendar results logger.info("\nContent Calendar Results:") logger.info("========================") # Print platform calendars logger.info("\nPlatform Calendars:") for platform, calendar in calendar_result['platform_calendars'].items(): logger.info(f"\n{platform.upper()}:") logger.info(f" Content Items: {len(calendar['content_items'])}") for item in calendar['content_items']: logger.info(f" - {item['original_item']['title']}") if __name__ == '__main__': main()