Providing unit tests for LiteLLMReranker class.

packages/ragbits-document-search/examples/reranker_example.py

@@ -7,11 +7,8 @@
 # ///
 import asyncio
 
-from ragbits.core.embeddings import LiteLLMEmbeddings
-from ragbits.core.vector_store import InMemoryVectorStore
 from ragbits.document_search import DocumentSearch
 from ragbits.document_search.documents.document import DocumentMeta
-from ragbits.document_search.retrieval.rerankers.litellm import LiteLLMReranker
 
 documents = [
     DocumentMeta.create_text_document_from_literal("RIP boiled water. You will be mist."),
@@ -25,10 +22,11 @@
 
 config = {
     "embedder": {"type": "LiteLLMEmbeddings"},
-    "vector_store": {
-        "type": "InMemoryVectorStore"
+    "vector_store": {"type": "InMemoryVectorStore"},
+    "reranker": {
+        "type": "ragbits.document_search.retrieval.rerankers.litellm:LiteLLMReranker",
+        "config": {"model": "cohere/rerank-english-v3.0"},
     },
-    "reranker": {"type": "ragbits.document_search.retrieval.rerankers.litellm:LiteLLMReranker", "config": {"model": "cohere/rerank-english-v3.0"}},
     "providers": {"txt": {"type": "DummyProvider"}},
 }
 

packages/ragbits-document-search/src/ragbits/document_search/retrieval/rerankers/litellm.py

@@ -13,7 +13,7 @@ class LiteLLMReranker(Reranker):
 
     model: str
     top_n: int | None = None
-    return_documents: bool = True
+    return_documents: bool = False
     rank_fields: list[str] | None = None
     max_chunks_per_doc: int | None = None
 

packages/ragbits-document-search/tests/unit/test_rerankers.py

@@ -0,0 +1,61 @@
+from pathlib import Path
+import pytest
+from ragbits.document_search.documents.document import DocumentMeta, DocumentType
+from ragbits.document_search.documents.element import Element, TextElement
+from ragbits.document_search.documents.sources import LocalFileSource
+from ragbits.document_search.retrieval.rerankers.litellm import LiteLLMReranker
+
+
+@pytest.fixture
+def mock_litellm_response(monkeypatch):
+    class MockResponse:
+        results = [{"index": 1}, {"index": 0}]
+
+    def mock_rerank(*args, **kwargs):
+        return MockResponse()
+
+    monkeypatch.setattr("litellm.rerank", mock_rerank)
+
+
+@pytest.fixture
+def reranker():
+    return LiteLLMReranker(
+        model="test_model",
+        top_n=2,
+        return_documents=True,
+        rank_fields=["content"],
+        max_chunks_per_doc=1,
+    )
+
+
+@pytest.fixture
+def mock_document_meta():
+    return DocumentMeta(document_type=DocumentType.TXT, source=LocalFileSource(path=Path("test.txt")))
+
+
+@pytest.fixture
+def mock_custom_element(mock_document_meta):
+    class CustomElement(Element):
+
+        def get_key(self):
+            return "test_key"
+
+    return CustomElement(element_type="test_type", document_meta=mock_document_meta)
+
+
+def test_rerank_success(reranker, mock_litellm_response, mock_document_meta):
+    chunks = [TextElement(content="chunk1", document_meta=mock_document_meta), TextElement(content="chunk2", document_meta=mock_document_meta)]
+    query = "test query"
+
+    reranked_chunks = reranker.rerank(chunks, query)
+
+    assert reranked_chunks[0].content == "chunk2"
+    assert reranked_chunks[1].content == "chunk1"
+
+
+def test_rerank_invalid_chunks(reranker, mock_custom_element):
+    chunks = [mock_custom_element]
+    query = "test query"
+
+    with pytest.raises(ValueError, match="All chunks must be TextElement instances"):
+        reranker.rerank(chunks, query)