fixed test
treefmt / nix fmt (pull_request) Successful in 5s
pytest / pytest (pull_request) Successful in 28s
build_systems / build-brain (pull_request) Successful in 49s
build_systems / build-bob (pull_request) Successful in 50s
build_systems / build-leviathan (pull_request) Successful in 53s
build_systems / build-rhapsody-in-green (pull_request) Successful in 1m1s
build_systems / build-jeeves (pull_request) Successful in 2m39s

This commit is contained in:
2026-06-14 02:39:38 -04:00
parent 2c366e581d
commit 6d2c001735
2 changed files with 13 additions and 4 deletions
+7 -1
View File
@@ -13,6 +13,7 @@ from sqlalchemy import literal, select
from sqlalchemy.orm import Session
from python.ebook_search.bm25_corpus import (
BM25CorpusUnavailableError,
load_bm25_corpus,
score_bm25_corpus,
)
@@ -252,7 +253,12 @@ def vector_candidates(engine: Engine, query: str, config: EbookSearchConfig) ->
def bm25_candidates(query: str, config: EbookSearchConfig) -> list[SearchResult]:
"""Return BM25-ranked lexical candidates using the persisted corpus."""
corpus = load_bm25_corpus(config)
try:
corpus = load_bm25_corpus(config)
except BM25CorpusUnavailableError as error:
logger.warning("ebook_bm25_index_unavailable_skipping error=%s", error)
return []
if not corpus.records:
logger.info("ebook_bm25_search_complete corpus=0 candidates=0")
return []