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Add vacancy search weights

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This commit is contained in:
estromenko 2025-10-28 22:52:29 +03:00
parent 42395de6d3
commit 618a102c98
1 changed files with 18 additions and 3 deletions
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21
vacancies/main/vector_store.py
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@ -5,14 +5,29 @@ from qdrant_client import QdrantClient
from qdrant_client.models import Filter
from vacancies.main.models import VacancyFeatures
client = QdrantClient(path="./embeddings")
#client = QdrantClient(url="http://localhost:6333")
# client = QdrantClient(path="./embeddings")
client = QdrantClient(url="http://localhost:6333")
FEATURE_NAMES = [
"employment_type", "work_format", "experience", "position_level", "industry", "tech_stack",
"location", "salary_range", "languages", "education", "schedule", "additional_requirements"
]
weights = {
"employment_type": 2,
"work_format": 2,
"experience": 4,
"position_level": 4,
"industry": 4,
"tech_stack": 5,
"location": 2,
"salary_range": 2,
"languages": 2,
"education": 1,
"schedule": 1,
"additional_requirements": 1,
}
vectors_config = {
name: models.VectorParams(size=3072, distance=models.Distance.COSINE) for name in FEATURE_NAMES
}
@ -90,7 +105,7 @@ def search_similarities(query_filter: Filter, cv_id: int) -> list[dict]:
scored = []
for vid, feature_sims in max_similarities.items():
total = sum(feature_sims.values())
total = sum(feature_sims[feature] * weights.get(feature, 1) for feature in feature_sims)
scored.append({"id": vid, "score": total})
scored.sort(key=lambda x: x["score"], reverse=True)