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RadioDataset samples are commonly split I/Q with shape (2, T) (row 0 = I, row 1 = Q). `sample_spectrogram_plot` assumed 1-D complex, so `len(sample)` returned 2 (the I/Q axis) — the compatibility gate saw `2 < 32` and every dataset showed "doesn't have sufficient signal data for spectrogram visualization", and the fallback path raised "need at least 32 samples, got 2". Normalize each sample to a 1-D complex signal before measuring/plotting: - add `_to_complex_1d` (complex any-shape -> flat; (2, ...) I/Q rows and (..., 2) I/Q cols -> I + jQ; real 1-D -> real signal; None on empty). - compatibility gate and `sample_spectrogram_plot` normalize first, then use the true length; plot returns the styled "Not Available" figure for unusable/too-short (<32) samples. - `_compute_spectrogram` measures length via reshape(-1) (belt-and-suspenders). Tests: parametrized `_to_complex_1d` and `sample_spectrogram_plot` over complex 1-D, (2, T) rows, (T, 2) cols, real 1-D, and (2, 4, 256) multi-channel I/Q (all render), plus (2,)/empty (still "Not Available"). 16 tests pass. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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| .. | |||
| agent | |||
| datatypes | |||
| io | |||
| orchestration | |||
| remote_control | |||
| ria_toolkit_oss_cli | |||
| server | |||
| transforms | |||
| utils | |||
| viz | |||
| __init__.py | |||
| test_agent.py | |||