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blurpritn adn site builde cleanup

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IGNY8 VPS (Salman)
2025-12-01 02:22:02 +00:00
parent 3f2385d4d9
commit a7a772a78c
33 changed files with 1591 additions and 1308 deletions
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11
backend/igny8_core/business/linking/services/candidate_engine.py
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@@ -80,16 +80,16 @@ class CandidateEngine:
def _score_candidates(self, content: Content, candidates: List[Content]) -> List[Dict]:
"""Score candidates based on relevance"""
from igny8_core.business.content.models import ContentClusterMap, ContentTaxonomyMap
from igny8_core.business.content.models import ContentClusterMap
# Stage 3: Get cluster mappings for content
content_clusters = set(
ContentClusterMap.objects.filter(content=content)
.values_list('cluster_id', flat=True)
)
# Taxonomy matching using Content.taxonomy_terms M2M relationship
content_taxonomies = set(
ContentTaxonomyMap.objects.filter(content=content)
.values_list('taxonomy_id', flat=True)
content.taxonomy_terms.values_list('id', flat=True)
)
scored = []
@@ -106,10 +106,9 @@ class CandidateEngine:
if cluster_overlap:
score += 50 * len(cluster_overlap) # High weight for cluster matches
# Stage 3: Taxonomy matching
# Stage 3: Taxonomy matching using M2M relationship
candidate_taxonomies = set(
ContentTaxonomyMap.objects.filter(content=candidate)
.values_list('taxonomy_id', flat=True)
candidate.taxonomy_terms.values_list('id', flat=True)
)
taxonomy_overlap = content_taxonomies & candidate_taxonomies
if taxonomy_overlap: