chore: bulk commit of local changes across blog writer, SEO dashboard, scheduler, docs-site, and frontend
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@@ -36,12 +36,56 @@ class PromptBuilder:
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competitor_text = ', '.join(research.competitor_analysis.get('top_competitors', [])) if research and research.competitor_analysis else "Not available"
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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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# 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 top 3 authoritative source excerpts as factual data points
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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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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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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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# Extract recency: newest source publication date
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newest_date_str = ""
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if sources:
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valid_dates = [s.published_at for s in sources if s.published_at]
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if valid_dates:
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try:
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parsed = [d for d in valid_dates if d[:4].isdigit()]
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if parsed:
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sorted_dates = sorted(parsed, reverse=True)
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newest_date_str = f"Most Recent Source: {sorted_dates[0]}"
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except Exception:
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pass
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# Extract top grounding evidence snippets as verified data points
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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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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 += "..."
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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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# Build selected angle prominence section
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if selected_content_angle and selected_content_angle.strip():
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selected_angle_section = f"""
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@@ -106,8 +150,14 @@ Top Competitors: {competitor_text}
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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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RESEARCH SOURCES: {len(sources)} authoritative sources available
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{newest_date_str}
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{source_excerpts_text}
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{grounding_evidence_text}
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{f"CUSTOM INSTRUCTIONS: {custom_instructions}" if custom_instructions else ""}
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