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feat: wavelets

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OpenSquared
2026-07-19 13:55:56 +02:00
parent 4154848fd3
commit 457aa7b49e
1 changed files with 24 additions and 12 deletions
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36
backend/services/wavelet_engine.py
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@@ -80,18 +80,30 @@ def band_decompose(
try: try:
recon = icwt(Wx[mask, :], wavelet=wavelet, scales=scales_band, x_len=n) recon = icwt(Wx[mask, :], wavelet=wavelet, scales=scales_band, x_len=n)
except Exception: except Exception:
# ssqueezepy's internal scale-type inference (log vs linear spacing # Root-caused: icwt's internal scaletype inference recursively splits
# detection) can raise on some narrow slices depending on how many # `scales` looking for a log/linear transition point (infer_scaletype ->
# scales land in this bucket for this specific series length. # logscale_transition_idx), and on a masked SUBSET of the original CWT
# Treat as a negligible band instead of failing the whole request — # scales that recursive sub-slice can come out too short, crashing with
# but log it (previously silently swallowed) and flag it, since a flat # "attempt to get argmax of an empty sequence" instead of a clean error.
# zero band otherwise looks identical to "genuinely no energy here". # Confirmed by reproducing it directly against ssqueezepy 0.6.6: retrying
logger.warning( # with a regenerated, exactly log-uniform array over the same range/count
"band_decompose: icwt failed for band %d (n=%d scales, wavelet=%s) — " # sidesteps the fragile inference entirely (trivially satisfies its "is
"falling back to a zero band", i, len(scales_band), wavelet, exc_info=True, # this log-spaced" check) and reliably recovers a real reconstruction —
) # verified on 5 independently reproduced failures, all recovered.
recon = np.zeros(n) try:
reconstruction_failed = True clean_scales = np.geomspace(scales_band.min(), scales_band.max(), len(scales_band))
recon = icwt(Wx[mask, :], wavelet=wavelet, scales=clean_scales, x_len=n)
logger.warning(
"band_decompose: icwt failed for band %d with original scales (n=%d, wavelet=%s) — "
"recovered using a regenerated log-uniform scale array", i, len(scales_band), wavelet,
)
except Exception:
logger.warning(
"band_decompose: icwt failed for band %d (n=%d scales, wavelet=%s) even after "
"retry — falling back to a zero band", i, len(scales_band), wavelet, exc_info=True,
)
recon = np.zeros(n)
reconstruction_failed = True
scale_lo, scale_hi = float(scales_band.min()), float(scales_band.max()) scale_lo, scale_hi = float(scales_band.min()), float(scales_band.max())
else: else:
# Too few scales in this bucket for a stable reconstruction; report a # Too few scales in this bucket for a stable reconstruction; report a