Developed an automated test script for the Andor spectrograph within the NQCP/NQCP-Phot-Git-Drivers repository, focusing on end-to-end hardware validation. The solution, implemented in Python, initializes the spectrograph and camera, configures operational parameters such as temperature, read mode, and exposure, and performs data acquisition. Results are saved as calibrated SIF files, ensuring accurate data handling and reproducibility. Robust resource cleanup was incorporated to support repeatable testing and minimize flakiness. This work established a foundation for automated hardware testing in the photonics toolkit, streamlining quality assurance processes and reducing manual intervention through skills in data acquisition, hardware integration, and file handling.