chore: push all remaining changes
- Blog writer enhancements and bug fixes - Wix integration improvements - Frontend UI updates - GSC dashboard docs cleanup - Image studio assets - LinkedIn requirements file - Various dependency updates
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ajaysi
@@ -37,27 +37,60 @@ class PromptBuilder:
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opportunity_text = ', '.join(research.competitor_analysis.get('opportunities', [])) if research and research.competitor_analysis else "Not available"
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advantages_text = ', '.join(research.competitor_analysis.get('competitive_advantages', [])) if research and research.competitor_analysis else "Not available"
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competitor_headings_text = ', '.join(research.competitor_analysis.get('competitor_headings', [])[:3]) if research and research.competitor_analysis and research.competitor_analysis.get('competitor_headings') else ""
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content_gaps_text = ', '.join(research.competitor_analysis.get('content_gaps', [])) if research and research.competitor_analysis and research.competitor_analysis.get('content_gaps') else ""
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industry_leaders_text = ', '.join(research.competitor_analysis.get('industry_leaders', [])) if research and research.competitor_analysis and research.competitor_analysis.get('industry_leaders') else ""
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# Extract additional UI-mapped context fields
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analysis_insights_text = (research.keyword_analysis.get('analysis_insights', '') or '') if research and research.keyword_analysis else ''
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market_positioning_text = (research.competitor_analysis.get('market_positioning', '') or '') if research and research.competitor_analysis else ''
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difficulty_score = research.keyword_analysis.get('difficulty', None) if research and research.keyword_analysis else None
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# Extract search queries as intent signals
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search_queries_text = ', '.join(research.search_queries) if research and hasattr(research, 'search_queries') and research.search_queries else ""
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# Extract top 3 authoritative source excerpts as factual data points
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# Build numbered source list — all sources with index, title, excerpt, and highlights
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# The LLM will reference these indices when assigning sources to sections
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source_list_text = ""
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if sources:
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source_lines = []
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for i, src in enumerate(sources, 1):
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title = getattr(src, 'title', '') or ''
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excerpt = getattr(src, 'excerpt', '') or ''
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highlights = getattr(src, 'highlights', []) or []
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summary = getattr(src, 'summary', '') or ''
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source_type = getattr(src, 'source_type', '') or ''
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author = getattr(src, 'author', '') or ''
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line = f" [{i}] {title}"
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if source_type:
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line += f" [{source_type}]"
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if author:
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line += f" by {author}"
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if summary:
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line += f" — {summary[:1000]}"
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elif excerpt:
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line += f" — {excerpt[:1000]}"
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if highlights:
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line += f" | Key findings: {'; '.join(h[:250] for h in highlights[:3])}"
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source_lines.append(line)
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if source_lines:
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source_list_text = "RESEARCH SOURCES (numbered for reference):\n" + "\n".join(source_lines)
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# Top factual excerpts for depth (keep as supplement)
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source_excerpts_text = ""
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if sources:
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sorted_sources = sorted(
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[s for s in sources if (s.excerpt or s.summary)],
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key=lambda s: s.credibility_score or 0.8, reverse=True
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)[:3]
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)[:5]
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excerpts = []
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for i, src in enumerate(sorted_sources, 1):
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excerpt = src.excerpt or src.summary or ""
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if len(excerpt) > 300:
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excerpt = excerpt[:297] + "..."
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if len(excerpt) > 500:
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excerpt = excerpt[:497] + "..."
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excerpts.append(f" {i}. \"{src.title}\" — {excerpt}")
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if excerpts:
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source_excerpts_text = "FACTUAL DATA POINTS FROM RESEARCH:\n" + "\n".join(excerpts)
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source_excerpts_text = "DETAILED FACTS FROM TOP SOURCES:\n" + "\n".join(excerpts)
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# Extract recency: newest source publication date
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newest_date_str = ""
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@@ -76,12 +109,12 @@ class PromptBuilder:
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grounding_evidence_text = ""
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if research and research.grounding_metadata and research.grounding_metadata.grounding_supports:
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supports = research.grounding_metadata.grounding_supports
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top_supports = [s for s in supports if s.segment_text and len(s.segment_text) > 20][:3]
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top_supports = [s for s in supports if s.segment_text and len(s.segment_text) > 20][:5]
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if top_supports:
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evidence_parts = []
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for i, s in enumerate(top_supports, 1):
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text = s.segment_text[:250]
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if len(s.segment_text) > 250:
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text = s.segment_text[:400]
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if len(s.segment_text) > 400:
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text += "..."
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evidence_parts.append(f" {i}. {text}")
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grounding_evidence_text = "VERIFIED EVIDENCE (high-confidence snippets):\n" + "\n".join(evidence_parts)
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@@ -151,8 +184,11 @@ Market Opportunities: {opportunity_text}
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Competitive Advantages: {advantages_text}
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{f"Market Positioning: {market_positioning_text}" if market_positioning_text else ""}
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{f"Competitor Headings (AVOID duplicating): {competitor_headings_text}" if competitor_headings_text else ""}
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{f"Content Gaps (MUST address these gaps): {content_gaps_text}" if content_gaps_text else ""}
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{f"Industry Leaders: {industry_leaders_text}" if industry_leaders_text else ""}
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{f"Search Intent Signals: {search_queries_text}" if search_queries_text else ""}
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RESEARCH SOURCES: {len(sources)} authoritative sources available
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{source_list_text}
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{newest_date_str}
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{source_excerpts_text}
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@@ -168,8 +204,9 @@ STRATEGIC REQUIREMENTS:
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- Create SEO-optimized headings with natural keyword integration
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- Surface the strongest research-backed angles within the outline
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- Build logical narrative flow from problem to solution
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- Include data-driven insights from research sources
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- Address content gaps and market opportunities
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- Include data-driven insights from research sources — use the numbered sources above
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- For each section, assign the most relevant source indices using the [N] numbers above
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- Address content gaps and market opportunities — if content gaps are listed, dedicate sections to fill those gaps
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- Optimize for search intent and user questions
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- Ensure engaging, actionable content throughout
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@@ -186,7 +223,8 @@ Return JSON format:
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"subheadings": ["Subheading 1", "Subheading 2", "Subheading 3"],
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"key_points": ["Key point 1", "Key point 2", "Key point 3"],
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"target_words": 300,
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"keywords": ["keyword 1", "keyword 2"]
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"keywords": ["keyword 1", "keyword 2"],
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"source_indices": [1, 3, 5]
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}}
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]
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}}"""
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@@ -220,9 +258,14 @@ Return JSON format:
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"keywords": {
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"type": "array",
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"items": {"type": "string"}
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},
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"source_indices": {
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"type": "array",
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"items": {"type": "integer"},
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"description": "Indices of research sources (from the numbered list above) that support this section"
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}
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},
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"required": ["heading", "subheadings", "key_points", "target_words", "keywords"]
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"required": ["heading", "subheadings", "key_points", "target_words", "keywords", "source_indices"]
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}
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}
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},
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