TxtAI MCP Server

""" Reranker module tests """ import unittest from txtai import Embeddings from txtai.pipeline import Reranker, Similarity class TestReranker(unittest.TestCase): """ Reranker tests. """ @classmethod def setUpClass(cls): """ Create single labels instance. """ cls.data = [ "US tops 5 million confirmed virus cases", "Canada's last fully intact ice shelf has suddenly collapsed, forming a Manhattan-sized iceberg", "Beijing mobilises invasion craft along coast as Taiwan tensions escalate", "The National Park Service warns against sacrificing slower friends in a bear attack", "Maine man wins $1M from $25 lottery ticket", "Make huge profits without work, earn up to $100,000 a day", ] def testRanker(self): """ Test re-ranking pipeline """ embeddings = Embeddings(content=True) embeddings.index(self.data) similarity = Similarity("neuml/colbert-bert-tiny", lateencode=True) ranker = Reranker(embeddings, similarity) self.assertEqual(ranker("lottery winner")[0]["id"], "4")