⚡ Bolt: Defer expensive object allocation in orbital pass prediction#299
⚡ Bolt: Defer expensive object allocation in orbital pass prediction#299d3mocide wants to merge 1 commit into
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…pass prediction When evaluating satellite passes, we step through time in small increments (e.g., 10 seconds). For the vast majority of these steps, the satellite is below the observer's horizon (`el < min_elevation`). Previously, we were allocating a dictionary and performing an expensive datetime string format (`t.strftime`) unconditionally for every step, only to discard it if the elevation threshold wasn't met. By moving this object allocation inside the `if el >= min_elevation:` block, we avoid unnecessary work and memory allocations, significantly speeding up the hot loop. Co-authored-by: d3mocide <136547209+d3mocide@users.noreply.github.com>
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💡 What: Moved the allocation of the
pointdictionary (which includes thet.strftimecall) from outside to inside theif el >= min_elevation:block in thebackend/api/routers/orbital.pyorbital pass prediction endpoint.🎯 Why: To prevent unnecessary CPU overhead and memory allocation for the majority of the satellite orbit where it remains below the observer's horizon. Calling
strftimeunconditionally on every time step is expensive.📊 Impact: Reduces string formatting and object allocation overhead drastically for pass prediction computations, making the API endpoint faster and more efficient when predicting large numbers of passes.
🔬 Measurement: The optimization can be verified by benchmarking the
/api/v1/orbital/passesendpoint with a large list of NORAD IDs. Tests pass correctly, as this is a strict performance equivalent refactor.PR created automatically by Jules for task 8779376479644925065 started by @d3mocide