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Preparar repositorio para despliegue: código fuente limpio

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jlimolina 2026-01-23 02:00:40 +01:00
parent 866f5c432d
commit 3eca832c1a
76 changed files with 5434 additions and 3496 deletions
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28
models/noticias.py
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@ -1,8 +1,7 @@
from psycopg2 import extras
from typing import List, Dict, Optional, Tuple, Any
import os
import torch
from sentence_transformers import SentenceTransformer
# from sentence_transformers import SentenceTransformer (Moved to functions to avoid heavy start-up)
def _extraer_tags_por_traduccion(cur, traduccion_ids: List[int]) -> Dict[int, List[tuple]]:
@ -74,33 +73,21 @@ def buscar_noticias(
where.append("p.continente_id = %s")
params.append(int(continente_id))
# Búsqueda
# Búsqueda optimizada usando FTS (Full Text Search)
if q:
search_like = f"%{q}%"
if use_tr:
where.append(
"""
(
n.tsv @@ websearch_to_tsquery('spanish', %s)
OR t.titulo_trad ILIKE %s
OR t.resumen_trad ILIKE %s
OR n.titulo ILIKE %s
OR n.resumen ILIKE %s
n.search_vector_es @@ websearch_to_tsquery('spanish', %s)
OR t.search_vector_es @@ websearch_to_tsquery('spanish', %s)
)
"""
)
params.extend([q, search_like, search_like, search_like, search_like])
params.extend([q, q])
else:
where.append(
"""
(
n.tsv @@ websearch_to_tsquery('spanish', %s)
OR n.titulo ILIKE %s
OR n.resumen ILIKE %s
)
"""
)
params.extend([q, search_like, search_like])
where.append("n.search_vector_es @@ websearch_to_tsquery('spanish', %s)")
params.append(q)
where_sql = " AND ".join(where)
@ -192,6 +179,7 @@ def buscar_noticias(
_model_cache = {}
def _get_emb_model():
from sentence_transformers import SentenceTransformer
model_name = os.environ.get("EMB_MODEL", "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2")
if model_name not in _model_cache:
device = "cuda" if torch.cuda.is_available() else "cpu"