Add pagination to chunk repo's get_by_document_id

haiku_rag_slim/haiku/rag/store/repositories/chunk.py

@@ -281,13 +281,30 @@ class ChunkRepository:
         results = results.limit(limit)
         return await self._process_search_results(results)
 
-    async def get_by_document_id(self, document_id: str) -> list[Chunk]:
-        """Get all chunks for a specific document."""
-        results = list(
-            self.store.chunks_table.search()
-            .where(f"document_id = '{document_id}'")
-            .to_pydantic(self.store.ChunkRecord)
-        )
+    async def get_by_document_id(
+        self,
+        document_id: str,
+        limit: int | None = None,
+        offset: int | None = None,
+    ) -> list[Chunk]:
+        """Get chunks for a specific document with optional pagination.
+
+        Args:
+            document_id: The document ID to get chunks for.
+            limit: Maximum number of chunks to return. None for all.
+            offset: Number of chunks to skip. None for no offset.
+
+        Returns:
+            List of chunks ordered by their order field.
+        """
+        query = self.store.chunks_table.search().where(f"document_id = '{document_id}'")
+
+        if offset is not None:
+            query = query.offset(offset)
+        if limit is not None:
+            query = query.limit(limit)
+
+        results = list(query.to_pydantic(self.store.ChunkRecord))
 
         # Get document info
         doc_results = list(
@@ -320,6 +337,16 @@ class ChunkRepository:
         chunks.sort(key=lambda c: c.order)
         return chunks
 
+    async def count_by_document_id(self, document_id: str) -> int:
+        """Count the number of chunks for a specific document."""
+        df = (
+            self.store.chunks_table.search()
+            .select(["id"])
+            .where(f"document_id = '{document_id}'")
+            .to_pandas()
+        )
+        return len(df)
+
     async def get_adjacent_chunks(self, chunk: Chunk, num_adjacent: int) -> list[Chunk]:
         """Get adjacent chunks before and after the given chunk within the same document."""
         assert chunk.document_id, "Document id is required for adjacent chunk finding"

tests/test_chunk.py

@@ -47,6 +47,55 @@ async def test_chunk_repository_operations(qa_corpus: Dataset, temp_db_path):
     client.close()
 
 
+@pytest.mark.asyncio
+async def test_chunk_repository_pagination(qa_corpus: Dataset, temp_db_path):
+    """Test ChunkRepository pagination with get_by_document_id and count_by_document_id."""
+    async with HaikuRAG(db_path=temp_db_path, config=Config, create=True) as client:
+        # Get the first document from the corpus (should produce multiple chunks)
+        first_doc = qa_corpus[0]
+        document_text = first_doc["document_extracted"]
+
+        # Create a document with chunks
+        created_document = await client.create_document(
+            content=document_text, metadata={"source": "test"}
+        )
+        assert created_document.id is not None
+
+        # Get total chunk count
+        total_count = await client.chunk_repository.count_by_document_id(
+            created_document.id
+        )
+        assert total_count > 0
+
+        # Get all chunks without pagination
+        all_chunks = await client.chunk_repository.get_by_document_id(
+            created_document.id
+        )
+        assert len(all_chunks) == total_count
+
+        # Test pagination with limit
+        limit = min(2, total_count)
+        first_batch = await client.chunk_repository.get_by_document_id(
+            created_document.id, limit=limit
+        )
+        assert len(first_batch) == limit
+        assert first_batch[0].id == all_chunks[0].id
+
+        # Test pagination with offset
+        if total_count > limit:
+            second_batch = await client.chunk_repository.get_by_document_id(
+                created_document.id, limit=limit, offset=limit
+            )
+            assert len(second_batch) <= limit
+            assert second_batch[0].id == all_chunks[limit].id
+
+        # Test offset beyond available chunks
+        empty_batch = await client.chunk_repository.get_by_document_id(
+            created_document.id, limit=10, offset=total_count + 100
+        )
+        assert len(empty_batch) == 0
+
+
 @pytest.mark.asyncio
 async def test_chunking_pipeline(qa_corpus: Dataset, temp_db_path):
     """Test document chunking using client primitives."""