Alwrity version 0.5.4
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ajaysi
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"""
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Content Strategy Educational Content Module
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Provides educational content and messages for strategy generation process.
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"""
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from .educational_content import EducationalContentManager
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__all__ = ['EducationalContentManager']
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"""
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Educational Content Manager
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Manages educational content and messages for strategy generation process.
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"""
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from typing import Dict, Any, List
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from datetime import datetime
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class EducationalContentManager:
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"""Manages educational content for strategy generation steps."""
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@staticmethod
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def get_initialization_content() -> Dict[str, Any]:
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"""Get educational content for initialization step."""
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return {
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"title": "🤖 AI-Powered Strategy Generation",
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"description": "Initializing AI analysis and preparing educational content...",
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"details": [
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"🔧 Setting up AI services",
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"📊 Loading user context",
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"🎯 Preparing strategy framework",
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"📚 Generating educational content"
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],
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"insight": "We're getting everything ready for your personalized AI strategy generation.",
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"estimated_time": "2-3 minutes total"
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}
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@staticmethod
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def get_step_content(step: int) -> Dict[str, Any]:
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"""Get educational content for a specific step."""
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step_content = {
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1: EducationalContentManager._get_user_context_content(),
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2: EducationalContentManager._get_foundation_content(),
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3: EducationalContentManager._get_strategic_insights_content(),
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4: EducationalContentManager._get_competitive_analysis_content(),
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5: EducationalContentManager._get_performance_predictions_content(),
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6: EducationalContentManager._get_implementation_roadmap_content(),
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7: EducationalContentManager._get_compilation_content(),
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8: EducationalContentManager._get_completion_content()
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}
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return step_content.get(step, EducationalContentManager._get_default_content())
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@staticmethod
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def get_step_completion_content(step: int, result_data: Dict[str, Any] = None) -> Dict[str, Any]:
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"""Get educational content for step completion."""
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completion_content = {
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3: EducationalContentManager._get_strategic_insights_completion(result_data),
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4: EducationalContentManager._get_competitive_analysis_completion(result_data),
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5: EducationalContentManager._get_performance_predictions_completion(result_data),
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6: EducationalContentManager._get_implementation_roadmap_completion(result_data)
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}
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return completion_content.get(step, EducationalContentManager._get_default_completion())
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@staticmethod
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def _get_user_context_content() -> Dict[str, Any]:
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"""Get educational content for user context analysis."""
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return {
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"title": "🔍 Analyzing Your Data",
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"description": "We're gathering all your onboarding information to create a personalized strategy.",
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"details": [
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"📊 Website analysis data",
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"🎯 Research preferences",
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"🔑 API configurations",
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"📈 Historical performance metrics"
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],
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"insight": "Your data helps us understand your business context, target audience, and competitive landscape.",
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"ai_prompt_preview": "Analyzing user onboarding data to extract business context, audience insights, and competitive positioning..."
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}
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@staticmethod
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def _get_foundation_content() -> Dict[str, Any]:
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"""Get educational content for foundation building."""
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return {
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"title": "🏗️ Building Foundation",
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"description": "Creating the core strategy framework based on your business objectives.",
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"details": [
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"🎯 Business objectives mapping",
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"📊 Target metrics definition",
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"💰 Budget allocation strategy",
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"⏰ Timeline planning"
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],
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"insight": "A solid foundation ensures your content strategy aligns with business goals and resources.",
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"ai_prompt_preview": "Generating strategic foundation: business objectives, target metrics, budget allocation, and timeline planning..."
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}
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@staticmethod
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def _get_strategic_insights_content() -> Dict[str, Any]:
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"""Get educational content for strategic insights generation."""
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return {
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"title": "🧠 Strategic Intelligence Analysis",
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"description": "AI is analyzing your market position and identifying strategic opportunities.",
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"details": [
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"🎯 Market positioning analysis",
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"💡 Opportunity identification",
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"📈 Growth potential assessment",
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"🎪 Competitive advantage mapping"
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],
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"insight": "Strategic insights help you understand where you stand in the market and how to differentiate.",
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"ai_prompt_preview": "Analyzing market position, identifying strategic opportunities, assessing growth potential, and mapping competitive advantages...",
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"estimated_time": "15-20 seconds"
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}
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@staticmethod
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def _get_competitive_analysis_content() -> Dict[str, Any]:
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"""Get educational content for competitive analysis."""
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return {
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"title": "🔍 Competitive Intelligence Analysis",
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"description": "AI is analyzing your competitors to identify gaps and opportunities.",
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"details": [
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"🏢 Competitor content strategies",
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"📊 Market gap analysis",
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"🎯 Differentiation opportunities",
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"📈 Industry trend analysis"
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],
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"insight": "Understanding your competitors helps you find unique angles and underserved market segments.",
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"ai_prompt_preview": "Analyzing competitor content strategies, identifying market gaps, finding differentiation opportunities, and assessing industry trends...",
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"estimated_time": "20-25 seconds"
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}
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@staticmethod
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def _get_performance_predictions_content() -> Dict[str, Any]:
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"""Get educational content for performance predictions."""
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return {
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"title": "📊 Performance Forecasting",
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"description": "AI is predicting content performance and ROI based on industry data.",
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"details": [
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"📈 Traffic growth projections",
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"💰 ROI predictions",
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"🎯 Conversion rate estimates",
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"📊 Engagement metrics forecasting"
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],
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"insight": "Performance predictions help you set realistic expectations and optimize resource allocation.",
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"ai_prompt_preview": "Analyzing industry benchmarks, predicting traffic growth, estimating ROI, forecasting conversion rates, and projecting engagement metrics...",
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"estimated_time": "15-20 seconds"
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}
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@staticmethod
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def _get_implementation_roadmap_content() -> Dict[str, Any]:
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"""Get educational content for implementation roadmap."""
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return {
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"title": "🗺️ Implementation Roadmap",
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"description": "AI is creating a detailed implementation plan for your content strategy.",
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"details": [
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"📋 Task breakdown and timeline",
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"👥 Resource allocation planning",
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"🎯 Milestone definition",
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"📊 Success metric tracking"
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],
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"insight": "A clear implementation roadmap ensures successful strategy execution and measurable results.",
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"ai_prompt_preview": "Creating implementation roadmap: task breakdown, resource allocation, milestone planning, and success metric definition...",
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"estimated_time": "15-20 seconds"
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}
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@staticmethod
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def _get_risk_assessment_content() -> Dict[str, Any]:
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"""Get educational content for risk assessment."""
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return {
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"title": "⚠️ Risk Assessment",
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"description": "AI is identifying potential risks and mitigation strategies for your content strategy.",
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"details": [
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"🔍 Risk identification and analysis",
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"📊 Risk probability assessment",
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"🛡️ Mitigation strategy development",
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"📈 Risk monitoring framework"
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],
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"insight": "Proactive risk assessment helps you prepare for challenges and maintain strategy effectiveness.",
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"ai_prompt_preview": "Assessing risks: identifying potential challenges, analyzing probability and impact, developing mitigation strategies, and creating monitoring framework...",
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"estimated_time": "10-15 seconds"
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}
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@staticmethod
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def _get_compilation_content() -> Dict[str, Any]:
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"""Get educational content for strategy compilation."""
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return {
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"title": "📋 Strategy Compilation",
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"description": "AI is compiling all components into a comprehensive content strategy.",
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"details": [
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"🔗 Component integration",
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"📊 Data synthesis",
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"📝 Strategy documentation",
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"✅ Quality validation"
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],
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"insight": "A comprehensive strategy integrates all components into a cohesive, actionable plan.",
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"ai_prompt_preview": "Compiling comprehensive strategy: integrating all components, synthesizing data, documenting strategy, and validating quality...",
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"estimated_time": "5-10 seconds"
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}
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@staticmethod
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def _get_completion_content() -> Dict[str, Any]:
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"""Get educational content for strategy completion."""
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return {
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"title": "🎉 Strategy Generation Complete!",
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"description": "Your comprehensive AI-powered content strategy is ready for review!",
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"summary": {
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"total_components": 5,
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"successful_components": 5,
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"estimated_roi": "15-25%",
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"implementation_timeline": "12 months",
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"risk_level": "Medium"
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},
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"key_achievements": [
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"🧠 Strategic insights generated",
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"🔍 Competitive analysis completed",
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"📊 Performance predictions calculated",
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"🗺️ Implementation roadmap planned",
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"⚠️ Risk assessment conducted"
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],
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"next_steps": [
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"Review your comprehensive strategy in the Strategic Intelligence tab",
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"Customize specific components as needed",
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"Confirm the strategy to proceed",
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"Generate content calendar based on confirmed strategy"
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],
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"ai_insights": "Your strategy leverages advanced AI analysis of your business context, competitive landscape, and industry best practices to create a data-driven content approach.",
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"personalization_note": "This strategy is uniquely tailored to your business based on your onboarding data, ensuring relevance and effectiveness.",
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"content_calendar_note": "Content calendar will be generated separately after you review and confirm this strategy, ensuring it's based on your final approved strategy."
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}
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@staticmethod
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def _get_default_content() -> Dict[str, Any]:
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"""Get default educational content."""
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return {
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"title": "🔄 Processing",
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"description": "AI is working on your strategy...",
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"details": [
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"⏳ Processing in progress",
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"📊 Analyzing data",
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"🎯 Generating insights",
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"📝 Compiling results"
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],
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"insight": "The AI is working hard to create your personalized strategy.",
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"estimated_time": "A few moments"
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}
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@staticmethod
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def _get_strategic_insights_completion(result_data: Dict[str, Any] = None) -> Dict[str, Any]:
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"""Get completion content for strategic insights."""
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insights_count = len(result_data.get("insights", [])) if result_data else 0
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return {
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"title": "✅ Strategic Insights Complete",
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"description": "Successfully identified key strategic opportunities and market positioning.",
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"achievement": f"Generated {insights_count} strategic insights",
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"next_step": "Moving to competitive analysis..."
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}
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@staticmethod
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def _get_competitive_analysis_completion(result_data: Dict[str, Any] = None) -> Dict[str, Any]:
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"""Get completion content for competitive analysis."""
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competitors_count = len(result_data.get("competitors", [])) if result_data else 0
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return {
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"title": "✅ Competitive Analysis Complete",
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"description": "Successfully analyzed competitive landscape and identified market opportunities.",
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"achievement": f"Analyzed {competitors_count} competitors",
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"next_step": "Moving to performance predictions..."
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}
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@staticmethod
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def _get_performance_predictions_completion(result_data: Dict[str, Any] = None) -> Dict[str, Any]:
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"""Get completion content for performance predictions."""
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estimated_roi = result_data.get("estimated_roi", "15-25%") if result_data else "15-25%"
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return {
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"title": "✅ Performance Predictions Complete",
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"description": "Successfully predicted content performance and ROI.",
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"achievement": f"Predicted {estimated_roi} ROI",
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"next_step": "Moving to implementation roadmap..."
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}
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@staticmethod
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def _get_implementation_roadmap_completion(result_data: Dict[str, Any] = None) -> Dict[str, Any]:
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"""Get completion content for implementation roadmap."""
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timeline = result_data.get("total_duration", "12 months") if result_data else "12 months"
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return {
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"title": "✅ Implementation Roadmap Complete",
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"description": "Successfully created detailed implementation plan.",
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"achievement": f"Planned {timeline} implementation timeline",
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"next_step": "Moving to compilation..."
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}
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@staticmethod
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def _get_risk_assessment_completion(result_data: Dict[str, Any] = None) -> Dict[str, Any]:
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"""Get completion content for risk assessment."""
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risk_level = result_data.get("overall_risk_level", "Medium") if result_data else "Medium"
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return {
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"title": "✅ Risk Assessment Complete",
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"description": "Successfully identified risks and mitigation strategies.",
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"achievement": f"Assessed {risk_level} risk level",
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"next_step": "Finalizing comprehensive strategy..."
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}
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@staticmethod
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def _get_default_completion() -> Dict[str, Any]:
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"""Get default completion content."""
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return {
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"title": "✅ Step Complete",
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"description": "Successfully completed this step.",
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"achievement": "Step completed successfully",
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"next_step": "Moving to next step..."
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}
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@staticmethod
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def update_completion_summary(completion_content: Dict[str, Any], strategy_data: Dict[str, Any]) -> Dict[str, Any]:
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"""Update completion content with actual strategy data."""
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if "summary" in completion_content:
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content_calendar = strategy_data.get("content_calendar", {})
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performance_predictions = strategy_data.get("performance_predictions", {})
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implementation_roadmap = strategy_data.get("implementation_roadmap", {})
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risk_assessment = strategy_data.get("risk_assessment", {})
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completion_content["summary"].update({
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"total_content_pieces": len(content_calendar.get("content_pieces", [])),
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"estimated_roi": performance_predictions.get("estimated_roi", "15-25%"),
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"implementation_timeline": implementation_roadmap.get("total_duration", "12 months"),
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"risk_level": risk_assessment.get("overall_risk_level", "Medium")
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})
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return completion_content
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@@ -1122,4 +1122,4 @@ async def refresh_autofill(
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)
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except Exception as e:
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logger.error(f"❌ Error generating fresh auto-fill payload: {str(e)}")
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raise ContentPlanningErrorHandler.handle_general_error(e, "refresh_autofill")
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raise ContentPlanningErrorHandler.handle_general_error(e, "refresh_autofill")
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