107 lines
3.6 KiB
Python
107 lines
3.6 KiB
Python
import pytest
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from datasets import Dataset
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from haiku.rag.store.engine import Store
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from haiku.rag.store.models.document import Document
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from haiku.rag.store.repositories.document import DocumentRepository
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@pytest.mark.asyncio
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async def test_create_document_with_chunks(qa_corpus: Dataset, temp_db_path):
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"""Test creating a document with chunks from the qa_corpus using repository."""
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# Create a store and repository
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store = Store(temp_db_path)
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doc_repo = DocumentRepository(store)
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# Get the first document from the corpus
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first_doc = qa_corpus[0]
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document_text = first_doc["document_extracted"]
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# Create a Document instance
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document = Document(
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content=document_text,
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metadata={"source": "qa_corpus", "topic": first_doc.get("document_topic", "")},
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)
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# Convert text to DoclingDocument for chunk creation
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from haiku.rag.utils import text_to_docling_document
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docling_document = text_to_docling_document(document_text, name="test.md")
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# Create the document with chunks in the database
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created_document = await doc_repo._create_with_docling(document, docling_document)
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# Verify the document was created
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assert created_document.id is not None
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assert created_document.content == document_text
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# Check that chunks were created using repository
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from haiku.rag.store.repositories.chunk import ChunkRepository
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chunk_repo = ChunkRepository(store)
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chunks = await chunk_repo.get_by_document_id(created_document.id)
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assert len(chunks) > 0
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# Verify chunk order is set correctly
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for i, chunk in enumerate(chunks):
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assert chunk.order == i
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store.close()
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@pytest.mark.asyncio
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async def test_document_repository_crud(qa_corpus: Dataset, temp_db_path):
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"""Test CRUD operations in DocumentRepository."""
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# Create a store and repository
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store = Store(temp_db_path)
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doc_repo = DocumentRepository(store)
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# Get the first document from the corpus
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first_doc = qa_corpus[0]
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document_text = first_doc["document_extracted"]
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# Create a document with URI
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test_uri = "file:///path/to/test.txt"
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document = Document(
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content=document_text, uri=test_uri, metadata={"source": "test"}
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)
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created_document = await doc_repo.create(document)
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# Test get_by_id
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assert created_document.id is not None
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retrieved_document = await doc_repo.get_by_id(created_document.id)
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assert retrieved_document is not None
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assert retrieved_document.content == document_text
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assert retrieved_document.uri == test_uri
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# Test get_by_uri
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retrieved_by_uri = await doc_repo.get_by_uri(test_uri)
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assert retrieved_by_uri is not None
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assert retrieved_by_uri.id == created_document.id
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assert retrieved_by_uri.content == document_text
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assert retrieved_by_uri.uri == test_uri
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# Test get_by_uri with non-existent URI
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non_existent = await doc_repo.get_by_uri("file:///non/existent.txt")
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assert non_existent is None
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# Test update (should regenerate chunks)
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retrieved_document.content = "Updated content for testing"
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updated_document = await doc_repo.update(retrieved_document)
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assert updated_document.content == "Updated content for testing"
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# Test list_all
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all_documents = await doc_repo.list_all()
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assert len(all_documents) == 1
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assert all_documents[0].id == created_document.id
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# Test delete
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deleted = await doc_repo.delete(created_document.id)
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assert deleted is True
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# Verify document is gone
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retrieved_document = await doc_repo.get_by_id(created_document.id)
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assert retrieved_document is None
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store.close()
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