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ALwrity + Wordpress + Wix + GSC integration

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ajaysi
2025-10-08 10:13:14 +05:30
parent 14dfb2e5c0
commit 3bab3450dc
147 changed files with 19815 additions and 17053 deletions
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42
backend/services/persona/core_persona/prompt_builder.py
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@@ -15,10 +15,34 @@ class PersonaPromptBuilder:
def build_persona_analysis_prompt(self, onboarding_data: Dict[str, Any]) -> str:
"""Build the main persona analysis prompt with comprehensive data."""
# Get enhanced analysis data
enhanced_analysis = onboarding_data.get("enhanced_analysis", {})
website_analysis = onboarding_data.get("website_analysis", {}) or {}
research_prefs = onboarding_data.get("research_preferences", {}) or {}
# Handle both frontend-style data and backend database-style data
# Frontend sends: {websiteAnalysis, competitorResearch, sitemapAnalysis, businessData}
# Backend sends: {enhanced_analysis, website_analysis, research_preferences}
# Normalize data structure
if "websiteAnalysis" in onboarding_data:
# Frontend-style data - adapt to expected structure
website_analysis = onboarding_data.get("websiteAnalysis", {}) or {}
competitor_research = onboarding_data.get("competitorResearch", {}) or {}
sitemap_analysis = onboarding_data.get("sitemapAnalysis", {}) or {}
business_data = onboarding_data.get("businessData", {}) or {}
# Create enhanced_analysis from frontend data
enhanced_analysis = {
"comprehensive_style_analysis": website_analysis.get("writing_style", {}),
"content_insights": website_analysis.get("content_characteristics", {}),
"audience_intelligence": website_analysis.get("target_audience", {}),
"technical_writing_metrics": website_analysis.get("style_patterns", {}),
"competitive_analysis": competitor_research,
"sitemap_data": sitemap_analysis,
"business_context": business_data
}
research_prefs = {}
else:
# Backend database-style data
enhanced_analysis = onboarding_data.get("enhanced_analysis", {})
website_analysis = onboarding_data.get("website_analysis", {}) or {}
research_prefs = onboarding_data.get("research_preferences", {}) or {}
prompt = f"""
COMPREHENSIVE PERSONA GENERATION TASK: Create a highly detailed, data-driven writing persona based on extensive AI analysis of user's website and content strategy.
@@ -115,10 +139,8 @@ Style Patterns: {json.dumps(website_analysis.get('style_patterns', {}), indent=2
- Include competitive analysis for market positioning
- Use content strategy insights for practical application
- Ensure the persona reflects the brand's unique elements and competitive advantages
- Provide a confidence score (0-100) based on data richness and quality
- Include detailed analysis notes explaining your reasoning and data sources
Generate a comprehensive, data-driven persona profile that can be used to replicate this writing style across different platforms while maintaining brand authenticity and competitive positioning.
Generate a comprehensive, data-driven persona profile that accurately captures the writing style and brand voice to replicate consistently across different platforms.
"""
return prompt
@@ -256,11 +278,9 @@ Generate a platform-optimized persona adaptation that maintains brand consistenc
}
}
}
},
"confidence_score": {"type": "number"},
"analysis_notes": {"type": "string"}
}
},
"required": ["identity", "linguistic_fingerprint", "tonal_range", "confidence_score"]
"required": ["identity", "linguistic_fingerprint", "tonal_range"]
}
def get_platform_schema(self) -> Dict[str, Any]: