import os import sys import logging from typing import Dict, Any, Optional from dataclasses import dataclass, asdict import json # Configuration Management @dataclass class MarketingConfiguration: """ Configuration class for marketing strategy generation """ model_name: str = "default" max_tokens: int = 1000 temperature: float = 0.7 logging_level: str = "INFO" output_directory: str = "./marketing_strategies" # Advanced Logging Setup class MarketingLogger: @staticmethod def setup_logging(level: str = "INFO") -> logging.Logger: """ Configure logging with professional formatting """ logging_levels = { "DEBUG": logging.DEBUG, "INFO": logging.INFO, "WARNING": logging.WARNING, "ERROR": logging.ERROR, "CRITICAL": logging.CRITICAL } # Configure logging logging.basicConfig( level=logging_levels.get(level.upper(), logging.INFO), format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', handlers=[ logging.StreamHandler(sys.stdout), logging.FileHandler('marketing_assistant.log') ] ) return logging.getLogger(__name__) # Strategy Generation Core class MarketingStrategyGenerator: def __init__(self, config: MarketingConfiguration): """ Initialize marketing strategy generator :param config: Configuration for strategy generation """ self.config = config self.logger = MarketingLogger.setup_logging(config.logging_level) # Ensure output directory exists os.makedirs(config.output_directory, exist_ok=True) def validate_inputs(self, inputs: Dict[str, Any]) -> bool: """ Validate input parameters :param inputs: Dictionary of input parameters :return: Boolean indicating input validity """ required_keys = [ 'product_description', 'audience_details', 'budget', 'channels' ] for key in required_keys: if not inputs.get(key): self.logger.error(f"Missing required input: {key}") return False try: budget = float(inputs['budget']) if budget <= 0: self.logger.error("Budget must be a positive number") return False except ValueError: self.logger.error("Invalid budget format") return False return True def generate_marketing_strategy(self, inputs: Dict[str, Any]) -> Dict[str, Any]: """ Generate a comprehensive marketing strategy :param inputs: Marketing strategy inputs :return: Generated marketing strategy """ # Input validation if not self.validate_inputs(inputs): return {"error": "Invalid input parameters"} try: # Professional strategy generation template strategy = { "product": inputs['product_description'], "target_audience": inputs['audience_details'], "budget": inputs['budget'], "channels": inputs['channels'], "strategy_components": { "market_positioning": self._generate_positioning(inputs), "channel_strategy": self._generate_channel_strategy(inputs), "budget_allocation": self._allocate_budget(inputs), "performance_metrics": self._define_performance_metrics(inputs) }, "risk_assessment": self._assess_marketing_risks(inputs) } # Log strategy generation self.logger.info(f"Strategy generated for: {inputs['product_description']}") return strategy except Exception as e: self.logger.error(f"Strategy generation error: {str(e)}") return {"error": str(e)} def _generate_positioning(self, inputs: Dict[str, Any]) -> Dict[str, str]: """ Generate market positioning strategy """ return { "unique_value_proposition": f"Innovative solution for {inputs['audience_details']}", "brand_messaging": f"Targeting {inputs['channels']} with focused approach" } def _generate_channel_strategy(self, inputs: Dict[str, Any]) -> Dict[str, Any]: """ Generate channel-specific marketing strategies """ channels = inputs['channels'].lower().split(',') strategies = {} channel_mapping = { 'instagram': { 'content_type': 'Visual storytelling', 'engagement_strategy': 'Influencer partnerships' }, 'linkedin': { 'content_type': 'Professional thought leadership', 'engagement_strategy': 'B2B networking' }, 'email': { 'content_type': 'Personalized nurture campaigns', 'engagement_strategy': 'Segmented communication' } } for channel in channels: channel = channel.strip() strategies[channel] = channel_mapping.get( channel, {'content_type': 'Generic digital marketing', 'engagement_strategy': 'Multi-channel approach'} ) return strategies def _allocate_budget(self, inputs: Dict[str, Any]) -> Dict[str, float]: """ Intelligent budget allocation """ total_budget = float(inputs['budget']) channels = inputs['channels'].lower().split(',') # Basic budget allocation strategy base_allocation = { 'digital_advertising': 0.4, 'content_creation': 0.25, 'channel_specific': 0.25, 'analytics_tools': 0.1 } allocated_budget = { category: total_budget * percentage for category, percentage in base_allocation.items() } return allocated_budget def _define_performance_metrics(self, inputs: Dict[str, Any]) -> Dict[str, str]: """ Define key performance indicators """ return { "conversion_rate": "Track sales and lead generation", "customer_acquisition_cost": "Monitor marketing efficiency", "engagement_metrics": "Analyze channel-specific interactions", "roi_tracking": "Measure return on marketing investment" } def _assess_marketing_risks(self, inputs: Dict[str, Any]) -> Dict[str, str]: """ Conduct basic marketing risk assessment """ return { "market_saturation": "Potential challenges in competitive landscape", "audience_alignment": f"Relevance to {inputs['audience_details']}", "budget_constraints": f"Limited budget of ${inputs['budget']}", "channel_effectiveness": f"Risks in {inputs['channels']} channels" } def save_strategy(self, strategy: Dict[str, Any], filename: Optional[str] = None) -> str: """ Save marketing strategy to a JSON file :param strategy: Generated marketing strategy :param filename: Optional custom filename :return: Path to saved strategy file """ if not filename: filename = f"marketing_strategy_{strategy['product'].replace(' ', '_').lower()}.json" filepath = os.path.join(self.config.output_directory, filename) try: with open(filepath, 'w') as f: json.dump(strategy, f, indent=4) self.logger.info(f"Strategy saved to {filepath}") return filepath except Exception as e: self.logger.error(f"Error saving strategy: {e}") return "" # Gradio Interface def create_marketing_interface(generator): import gradio as gr def generate_strategy_wrapper(product, audience, budget, channels): inputs = { 'product_description': product, 'audience_details': audience, 'budget': budget, 'channels': channels } strategy = generator.generate_marketing_strategy(inputs) # Save strategy to file generator.save_strategy(strategy) # Convert strategy to readable format return json.dumps(strategy, indent=2) interface = gr.Interface( fn=generate_strategy_wrapper, inputs=[ gr.Textbox(label="Product Description"), gr.Textbox(label="Target Audience Details"), gr.Number(label="Marketing Budget ($)"), gr.Textbox(label="Marketing Channels") ], outputs="text", title="Professional Marketing Strategy Generator", description="Generate comprehensive marketing strategies with advanced analytics" ) return interface # Main Execution def main(): # Initialize configuration config = MarketingConfiguration( model_name="professional_marketing_generator", logging_level="INFO", output_directory="./marketing_strategies" ) # Create strategy generator strategy_generator = MarketingStrategyGenerator(config) # Create and launch Gradio interface interface = create_marketing_interface(strategy_generator) interface.launch(debug=True) if __name__ == "__main__": main()