202 lines
5.8 KiB
Python
202 lines
5.8 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_document_list_with_filter(qa_corpus: Dataset, temp_db_path):
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"""Test listing documents with filter clause."""
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store = Store(temp_db_path, create=True)
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doc_repo = DocumentRepository(store)
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first_doc = qa_corpus[0]
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document_text = first_doc["document_extracted"]
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doc1 = Document(
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content=document_text,
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uri="https://example.com/doc1.txt",
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metadata={"source": "test", "category": "A"},
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)
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doc2 = Document(
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content=document_text,
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uri="https://arxiv.org/paper.pdf",
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metadata={"source": "test", "category": "B"},
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)
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doc3 = Document(
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content=document_text,
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uri="https://example.com/doc3.txt",
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metadata={"source": "test", "category": "A"},
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)
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created_doc1 = await doc_repo.create(doc1)
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created_doc2 = await doc_repo.create(doc2)
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created_doc3 = await doc_repo.create(doc3)
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all_documents = await doc_repo.list_all()
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assert len(all_documents) == 3
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arxiv_documents = await doc_repo.list_all(filter="uri LIKE '%arxiv%'")
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assert len(arxiv_documents) == 1
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assert arxiv_documents[0].id == created_doc2.id
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example_documents = await doc_repo.list_all(filter="uri LIKE '%example.com%'")
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assert len(example_documents) == 2
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assert {doc.id for doc in example_documents} == {created_doc1.id, created_doc3.id}
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store.close()
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def test_document_get_docling_document():
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"""Test parsing stored DoclingDocument JSON."""
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doc_json = {
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"name": "test_doc",
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"texts": [
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{
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"self_ref": "#/texts/0",
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"text": "Test text",
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"orig": "Test text",
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"label": "paragraph",
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},
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],
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"tables": [],
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"pictures": [],
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"groups": [],
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"body": {"self_ref": "#/body", "children": []},
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"furniture": {"self_ref": "#/furniture", "children": []},
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}
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import json
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document = Document(
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content="Test content",
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docling_document_json=json.dumps(doc_json),
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docling_version="1.3.0",
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)
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docling_doc = document.get_docling_document()
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assert docling_doc is not None
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assert docling_doc.name == "test_doc"
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assert len(docling_doc.texts) == 1
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assert docling_doc.texts[0].text == "Test text"
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def test_document_get_docling_document_none():
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"""Test get_docling_document returns None when not stored."""
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document = Document(content="Test content")
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assert document.docling_document_json is None
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assert document.get_docling_document() is None
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def test_document_get_docling_document_caching():
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"""Test that get_docling_document uses LRU cache keyed by document ID."""
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from haiku.rag.store.models.document import (
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_docling_document_cache,
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invalidate_docling_document_cache,
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)
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doc_json = {
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"name": "test_doc",
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"texts": [
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{
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"self_ref": "#/texts/0",
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"text": "Test text",
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"orig": "Test text",
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"label": "paragraph",
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},
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],
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"tables": [],
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"pictures": [],
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"groups": [],
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"body": {"self_ref": "#/body", "children": []},
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"furniture": {"self_ref": "#/furniture", "children": []},
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}
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import json
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json_str = json.dumps(doc_json)
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# Clear cache to get clean state
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_docling_document_cache.clear()
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document = Document(
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id="test-doc-id", content="Test content", docling_document_json=json_str
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)
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# First call - not in cache
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assert "test-doc-id" not in _docling_document_cache
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doc1 = document.get_docling_document()
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assert "test-doc-id" in _docling_document_cache
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# Second call - cache hit, same object
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doc2 = document.get_docling_document()
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assert doc1 is doc2
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# Invalidation removes from cache
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invalidate_docling_document_cache("test-doc-id")
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assert "test-doc-id" not in _docling_document_cache
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def test_document_get_docling_document_no_id_no_cache():
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"""Test that documents without ID don't use cache."""
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from haiku.rag.store.models.document import _docling_document_cache
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doc_json = {
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"name": "test_doc",
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"texts": [],
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"tables": [],
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"pictures": [],
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"groups": [],
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"body": {"self_ref": "#/body", "children": []},
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"furniture": {"self_ref": "#/furniture", "children": []},
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}
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import json
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json_str = json.dumps(doc_json)
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# Clear cache
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_docling_document_cache.clear()
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# Document without ID
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document = Document(content="Test content", docling_document_json=json_str)
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doc1 = document.get_docling_document()
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doc2 = document.get_docling_document()
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# Cache should remain empty (no ID to cache by)
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assert len(_docling_document_cache) == 0
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# Each call parses fresh (different objects)
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assert doc1 is not doc2
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@pytest.mark.asyncio
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async def test_document_get_by_uri_with_special_characters(
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qa_corpus: Dataset, temp_db_path
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):
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"""Test get_by_uri handles URIs with special characters like single quotes."""
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store = Store(temp_db_path, create=True)
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doc_repo = DocumentRepository(store)
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first_doc = qa_corpus[0]
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document_text = first_doc["document_extracted"]
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doc_with_quote = Document(
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content=document_text,
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uri="Hamish and Andy's Gap Year",
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metadata={"source": "test"},
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)
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created_doc = await doc_repo.create(doc_with_quote)
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retrieved = await doc_repo.get_by_uri("Hamish and Andy's Gap Year")
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assert retrieved is not None
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assert retrieved.id == created_doc.id
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assert retrieved.uri == "Hamish and Andy's Gap Year"
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store.close()
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