fix(core): skip empty/invalid chunks before embedding; guard OpenAI embeddings (#55)

Avoid 400 errors from OpenAI when chunker yields empty strings by filtering
invalid texts in LeannBuilder.build_index. Add validation fail-fast in
OpenAI embedding path to surface upstream issues earlier. Keeps passages and
embeddings aligned during build.

Refs #54
This commit is contained in:
Andy Lee
2025-08-15 17:53:53 -07:00
committed by GitHub
parent 2dcfca19ff
commit 14e84d9e2d
2 changed files with 27 additions and 0 deletions

View File

@@ -306,6 +306,23 @@ class LeannBuilder:
def build_index(self, index_path: str):
if not self.chunks:
raise ValueError("No chunks added.")
# Filter out invalid/empty text chunks early to keep passage and embedding counts aligned
valid_chunks: list[dict[str, Any]] = []
skipped = 0
for chunk in self.chunks:
text = chunk.get("text", "")
if isinstance(text, str) and text.strip():
valid_chunks.append(chunk)
else:
skipped += 1
if skipped > 0:
print(
f"Warning: Skipping {skipped} empty/invalid text chunk(s). Processing {len(valid_chunks)} valid chunks"
)
self.chunks = valid_chunks
if not self.chunks:
raise ValueError("All provided chunks are empty or invalid. Nothing to index.")
if self.dimensions is None:
self.dimensions = len(
compute_embeddings(