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Implement evidence-driven semantic gap detection

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2026-03-01 21:58:44 +05:30
parent f8f7ddeb2a
commit 77088bfc53
4 changed files with 412 additions and 77 deletions
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26
backend/services/sif_onboarding_service.py
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@@ -52,9 +52,9 @@ class SIFOnboardingIntegration:
self.harvester = SemanticHarvesterService()
# Initialize agents
self.strategy_agent = StrategyArchitectAgent(self.intelligence)
self.guardian_agent = ContentGuardianAgent(self.intelligence)
self.link_agent = LinkGraphAgent(self.intelligence)
self.strategy_agent = StrategyArchitectAgent(self.intelligence, user_id)
self.guardian_agent = ContentGuardianAgent(self.intelligence, user_id)
self.link_agent = LinkGraphAgent(self.intelligence, user_id)
logger.info(f"[SIFOnboarding] Initialized for user {user_id}")
@@ -254,7 +254,23 @@ class SIFOnboardingIntegration:
"priority": "high",
"title": "Fill Content Gaps",
"description": f"Competitors are covering {len(semantic_gaps)} topics you haven't addressed.",
"action_items": [f"Create content about: {gap.get('topic', 'Unknown topic')}" for gap in semantic_gaps[:5]]
"action_items": [
(
f"Create content about: {gap.get('topic', 'Unknown topic')} "
f"({gap.get('priority', 'medium')} priority) - {gap.get('reason', 'Coverage gap identified')}"
)
for gap in semantic_gaps[:5]
],
"evidence": [
{
"topic": gap.get("topic"),
"priority": gap.get("priority"),
"confidence": gap.get("confidence"),
"topic_density": gap.get("topic_density"),
"competitor_sample_titles": gap.get("evidence", {}).get("competitor_sample_titles", [])
}
for gap in semantic_gaps[:5]
]
})
# Theme-based recommendations
@@ -448,4 +464,4 @@ async def discover_competitors(request: CompetitorDiscoveryRequest, user=Depends
"content_analysis": enhanced_results["content_analysis"],
"strategic_recommendations": enhanced_results["semantic_insights"]["strategic_recommendations"]
}
"""
"""