haiku.rag/tests/test_chunk.py
2025-11-25 14:19:28 +02:00

199 lines
6.5 KiB
Python

import pytest
from datasets import Dataset
from haiku.rag.client import HaikuRAG
from haiku.rag.config import Config
from haiku.rag.converters import get_converter
from haiku.rag.store.engine import Store
from haiku.rag.store.models.chunk import Chunk
from haiku.rag.store.models.document import Document
from haiku.rag.store.repositories.chunk import ChunkRepository
from haiku.rag.store.repositories.document import DocumentRepository
@pytest.mark.asyncio
async def test_chunk_repository_operations(qa_corpus: Dataset, temp_db_path):
"""Test ChunkRepository operations."""
# Create client
client = HaikuRAG(db_path=temp_db_path, config=Config)
# Get the first document from the corpus
first_doc = qa_corpus[0]
document_text = first_doc["document_extracted"]
# Create a document first with chunks
created_document = await client.create_document(
content=document_text, metadata={"source": "test"}
)
assert created_document.id is not None
# Test getting chunks by document ID
chunks = await client.chunk_repository.get_by_document_id(created_document.id)
assert len(chunks) > 0
assert all(chunk.document_id == created_document.id for chunk in chunks)
# Test chunk search
results = await client.chunk_repository.search(
"election", limit=2, search_type="vector"
)
assert len(results) <= 2
assert all(hasattr(chunk, "content") for chunk, _ in results)
# Test deleting chunks by document ID
deleted = await client.chunk_repository.delete_by_document_id(created_document.id)
assert deleted is True
# Verify chunks are gone
chunks_after_delete = await client.chunk_repository.get_by_document_id(
created_document.id
)
assert len(chunks_after_delete) == 0
client.close()
@pytest.mark.asyncio
async def test_create_chunks_for_document(qa_corpus: Dataset, temp_db_path):
"""Test creating chunks for a document."""
# Create a store and repositories
store = Store(temp_db_path)
chunk_repo = ChunkRepository(store)
doc_repo = DocumentRepository(store)
# Get the first document from the corpus
first_doc = qa_corpus[0]
document_text = first_doc["document_extracted"]
# Create a document first (without chunks)
document = Document(content=document_text, metadata={"source": "test"})
created_document = await doc_repo.create(document)
document_id = created_document.id
assert document_id is not None, "Document ID should not be None"
# Convert text to DoclingDocument
converter = get_converter(Config)
docling_document = converter.convert_text(document_text, name="test.md")
# Test creating chunks for the document
chunks = await chunk_repo.create_chunks_for_document(document_id, docling_document)
# Verify chunks were created
assert len(chunks) > 0
assert all(chunk.document_id == document_id for chunk in chunks)
assert all(chunk.id is not None for chunk in chunks)
# Verify chunk order
for i, chunk in enumerate(chunks):
assert chunk.order == i
# Verify chunks exist in database
db_chunks = await chunk_repo.get_by_document_id(document_id)
assert len(db_chunks) == len(chunks)
store.close()
@pytest.mark.asyncio
async def test_chunk_repository_crud(temp_db_path):
"""Test basic CRUD operations in ChunkRepository."""
# Create a store
store = Store(temp_db_path)
chunk_repo = ChunkRepository(store)
doc_repo = DocumentRepository(store)
# First create a document to reference
document = Document(content="Test document content", metadata={})
created_document = await doc_repo.create(document)
document_id = created_document.id
assert document_id is not None, "Document ID should not be None"
# Test create chunk manually
chunk = Chunk(
document_id=document_id,
content="Test chunk content",
metadata={"test": "value"},
)
created_chunk = await chunk_repo.create(chunk)
assert isinstance(created_chunk, Chunk)
assert created_chunk.id is not None
assert created_chunk.content == "Test chunk content"
# Test get by ID
retrieved_chunk = await chunk_repo.get_by_id(created_chunk.id)
assert retrieved_chunk is not None
assert retrieved_chunk.content == "Test chunk content"
assert retrieved_chunk.metadata["test"] == "value"
# Test update
retrieved_chunk.content = "Updated chunk content"
updated_chunk = await chunk_repo.update(retrieved_chunk)
assert updated_chunk.content == "Updated chunk content"
# Test list all
all_chunks = await chunk_repo.list_all()
assert len(all_chunks) >= 1
assert any(chunk.id == created_chunk.id for chunk in all_chunks)
# Test delete
deleted = await chunk_repo.delete(created_chunk.id)
assert deleted is True
# Verify chunk is gone
retrieved_chunk = await chunk_repo.get_by_id(created_chunk.id)
assert retrieved_chunk is None
store.close()
@pytest.mark.asyncio
async def test_adjacent_chunks(temp_db_path):
"""Test the get_adjacent_chunks repository method."""
store = Store(temp_db_path)
doc_repo = DocumentRepository(store)
chunk_repo = ChunkRepository(store)
# Create a simple document first
document_content = "Test document for chunking"
document = Document(content=document_content)
created_document = await doc_repo.create(document)
# Manually create multiple chunks with order metadata
chunks_data = [
("First chunk content", 0),
("Second chunk content", 1),
("Third chunk content", 2),
("Fourth chunk content", 3),
("Fifth chunk content", 4),
]
created_chunks = []
for content, order in chunks_data:
chunk = Chunk(document_id=created_document.id, content=content, order=order)
created_chunk = await chunk_repo.create(chunk)
created_chunks.append(created_chunk)
# Test with the middle chunk (index 2, order 2)
middle_chunk = created_chunks[2]
# Get adjacent chunks (1 before and after)
adjacent_chunks = await chunk_repo.get_adjacent_chunks(middle_chunk, 1)
# Should have 2 chunks (one before, one after)
assert len(adjacent_chunks) == 2
# Should not include the original chunk
assert middle_chunk.id not in [chunk.id for chunk in adjacent_chunks]
# Should include chunks with order 1 and 3
orders = [chunk.order for chunk in adjacent_chunks]
assert 1 in orders
assert 3 in orders
# All adjacent chunks should be from the same document
for chunk in adjacent_chunks:
assert chunk.document_id == created_document.id
store.close()