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