Milestone Achieved: First End-to-End Pipeline Run

 I've reached a significant milestone: the first successful end-to-end run of the RIPPLe pipeline. I provided a set of sky coordinates, and the system automatically fetched the data from the Butler, preprocessed the images, fed them into a DeepLense classification model, and returned a prediction. Seeing the entire chain of operations execute without a single crash was incredibly satisfying.

The performance is, as expected, not yet optimized. A single prediction takes several minutes, which is far from our goal. However, this successful run serves as a critical proof-of-concept. It validates the overall architecture and demonstrates that all the individual components can work together. Now, the focus shifts from functionality to performance.

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