Add self-healing cache validation for DeepFace weight files#3
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Add self-healing cache validation for DeepFace weight files#3
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- Add GitHub Actions cache for ~/.deepface/weights with dynamic key based on requirements.txt hash - Implement H5 file integrity validation using h5py to detect corrupted weight files - Remove both suspiciously small (<100KB) and corrupted H5 files before tests - Gracefully fall back to size-based cleanup if h5py is unavailable - Cache key invalidates when dependencies change to prevent stale cache reuse Fixes issue where corrupted/truncated model weight files in CI cache cause ValueError during model.load_weights() and cascade into API test failures. Agent-Logs-Url: https://github.com/JayNightmare/Deepface-Mirror/sessions/a5d961cd-5f82-40c9-8b22-1c3bac0cfc54 Co-authored-by: JayNightmare <34739807+JayNightmare@users.noreply.github.com>
Claude created this pull request from a session on behalf of
JayNightmare
March 27, 2026 16:07
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Tickets
N/A - Fixing CI test failures caused by corrupted cached model weight files.
What has been done
With this PR, the CI workflow now validates cached DeepFace weight files before tests run. Corrupted
.h5files that pass the size check (>100KB) but have invalid HDF5 structure now get detected and removed, allowing DeepFace to re-download clean weights.Changes:
~/.deepface/weightswith dynamic key based onrequirements.txthashh5py.File()to detect corrupted weightsRoot cause: Truncated/corrupted weight files in CI cache were causing
ValueErrorinmodel.load_weights(), cascading into API test failures (400 vs 200 status codes).Fix approach: Validate all
*.h5files before tests by attempting to open withh5py. Invalid files are removed and logged with diagnostic output.How to test