Upload app.py

app.py

@@ -326,10 +326,14 @@ def metadata_matches(q: str, exact: bool, search_paths: bool) -> set[int]:
         if all(term in records[idx][field] for term in terms)
     }
 
-@lru_cache(maxsize=8)
-def read_search_text(idx: int) -> str:
+def file_matches_exact_query(idx: int, query: str) -> bool:
     file_path = get_doc_storage_path(records[idx])
-    return file_path.read_text(encoding="utf-8", errors="ignore") if file_path.exists() else ""
+    if not file_path.exists():
+        return False
+    payload = file_path.read_bytes()
+    if "*" not in query and "?" not in query and query.encode("utf-8") in payload:
+        return True
+    return matches_exact_query(payload.decode("utf-8", errors="ignore"), query)
 
 def verify_fulltext_matches(indices: set[int], query: str) -> set[int]:
     return set(cached_verified_fulltext_matches(tuple(sorted(indices)), query))
@@ -338,7 +342,7 @@ def verify_fulltext_matches(indices: set[int], query: str) -> set[int]:
 def cached_verified_fulltext_matches(indices: tuple[int, ...], query: str) -> frozenset[int]:
     return frozenset(
         idx for idx in indices
-        if matches_exact_query(read_search_text(idx), query)
+        if file_matches_exact_query(idx, query)
     )
 
 def search(q="", sources_filter=None, folders=None, min_size=None, max_size=None, page=1, page_size=100, sort="relevance", exact=False, search_paths=True):