In the continuous iteration of software, synchronizing the updates of test code and production code is crucial for ensuring project quality. However, in actual development, test code maintenance often lags behind the evolution of production code, which can lead to issues such as invalid functionality verification. Existing test code repair methods based on pre-trained models or Large Language Models (LLMs) show less effective or low generalization due to their lack of precise contextual awareness or strong limitations in use scenarios.