Thomas Ales [M S E]
a8b962e317
Two strands of in-progress work, committed together because they overlap in sras_workers.py and main_window.py. Min peak frequency floor: - CACH tail bumped to version 4, adding u32 min_freq_khz provenance in fixed-point kHz (a float32 20.1 reads back as 20.10000038 and would report a spurious mismatch forever). v1-v3 tails read as no floor. - Stored FFT caches are accepted when the reader's floor is at or above the stored one, since a higher floor is re-applicable by masking. - Floor plumbed through compute_rf_image, BatchCacheWorker and the viewer. Batch Export View as Images: - New sras_render.py holds draw_view_image, shared by the Qt canvas and the headless exporter so a PNG cannot drift from what the GUI shows. Deliberately Qt-free so it is importable in a pool subprocess. - BatchExportImagesWorker renders the current view settings across many files, process-pooled with an inline fallback, reporting per-file output names so the caller can flag same-stem collisions. - _axes_extent extracted into sras_format for both render paths. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
851 lines
39 KiB
Python
851 lines
39 KiB
Python
#!/usr/bin/env python3
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"""SRAS binary scan file format — parsing and writing.
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Reads v2–v7 .sras files. Depends only on numpy + struct, so compute workers
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(including multiprocessing children) can import it without pulling in Qt or
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matplotlib. See scan_format.md for the full v6/v7 spec.
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Channel semantics (fixed by sc3_aui_app.py acquisition settings):
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CH1 — RF Acoustic Packet (AC-coupled, 100 mV/div): FFT → peak frequency
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CH3 — Bias A (DC-coupled, 50 mV/div): waveform mean
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CH4 — Bias B (DC-coupled, 50 mV/div): waveform mean
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Frame-count correction: the scanner writes the *configured* frame count in the
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header before acquisition, but the scope may acquire fewer frames. The actual
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count is computed from the file size and used for the reshape so channels are
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correctly aligned.
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Scan geometry: v6/v7 files scan a different bounding box per angle (x_start,
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x_delta, n_frames, n_rows all vary by angle), so geometry is exposed per-angle
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via SrasFile.n_rows / n_frames / x_start_mm arrays and the x_axis_mm() /
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y_positions_mm() methods. v2–v5 files have uniform geometry across angles, so
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those arrays simply repeat the same value n_angles times.
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v7 files are v6 files with an optional trailing cache section holding
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precomputed per-angle DC and/or FFT images, so display never has to recompute
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them after the "Convert" menu's batch actions have stored them once.
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"""
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import os
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import re
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import struct
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from pathlib import Path
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import numpy as np
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# ---------------------------------------------------------------------------
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# Format constants
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# ---------------------------------------------------------------------------
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# v2–v5: fixed header, uniform geometry across angles (43 bytes)
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HDR_FMT = ">4sBHHffffIIdBB"
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HDR_SIZE = struct.calcsize(HDR_FMT)
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# v6/v7: fixed header, per-angle geometry in a separate table (49 bytes)
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HDR_FMT_V6 = ">4sBHfffffffIdBB"
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HDR_SIZE_V6 = struct.calcsize(HDR_FMT_V6)
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# v6/v7: per-angle geometry record (x_start, x_delta, n_frames, n_rows)
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GEO_FMT_V6 = ">ffIH"
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GEO_SIZE_V6 = struct.calcsize(GEO_FMT_V6)
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# v5 precomputed-image tail
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PREC_MAGIC = b"PREC"
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PREC_FLAG_BG_SUB = 0x01
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# v7 cache tail. v7 is byte-identical to v6 (the version byte is the only
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# header difference) plus this optional trailing section. Sub-block sizes are
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# per-angle (n_rows[a] * n_frames[a]), taken from the Per-Angle Geometry Table
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# already parsed for v6 — no new geometry fields are needed.
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CACH_MAGIC = b"CACH"
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CACH_HDR_FMT = ">4sBB" # magic, cach_version, block_flags
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CACH_HDR_SIZE = struct.calcsize(CACH_HDR_FMT)
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CACH_VERSION = 4 # written on every fresh write
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CACH_VERSIONS_READABLE = (1, 2, 3, 4) # accepted on read — see
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# _read_sfft_block. Each bump only
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# appended a field, and every older
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# tail has a well-defined reading:
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# v1 predates row-averaged FFT
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# caching (row_avg_n=0), v1/v2
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# predate padded caching, so both
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# are natural-resolution (pad 1),
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# and v1-v3 predate the min peak
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# frequency floor (min_freq 0 =
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# no floor).
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CACH_FLAG_DC = 0x01
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CACH_FLAG_FFT = 0x02
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SDCB_MAGIC = b"SDCB"
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SDCB_HDR_FMT = ">4sBH" # magic, reserved, n_stored
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SDCB_HDR_SIZE = struct.calcsize(SDCB_HDR_FMT)
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SFFT_MAGIC = b"SFFT"
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SFFT_HDR_FMT_V1 = ">4sBH" # magic, flags, n_stored (cach_version 1)
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SFFT_HDR_FMT_V2 = ">4sBHB" # + row_avg_n (cach_version 2)
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SFFT_HDR_FMT_V3 = ">4sBHBH" # + pad_factor (cach_version 3)
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SFFT_HDR_FMT = ">4sBHBHI" # + min_freq_khz (cach_version 4)
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SFFT_HDR_SIZE_V1 = struct.calcsize(SFFT_HDR_FMT_V1)
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SFFT_HDR_SIZE_V2 = struct.calcsize(SFFT_HDR_FMT_V2)
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SFFT_HDR_SIZE_V3 = struct.calcsize(SFFT_HDR_FMT_V3)
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SFFT_HDR_SIZE = struct.calcsize(SFFT_HDR_FMT)
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MAX_PAD_FACTOR = 0xFFFF # the H field above
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# min_freq_khz is fixed-point (u32, units of 0.001 MHz), not a float32:
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# the viewer's floor spinbox has 0.001 MHz granularity, and
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# round(mhz * 1000) / 1000.0 reproduces the exact float64 the user typed,
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# so the accept rule in sras_compute.cache_mismatch_reasons can compare
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# with plain integer ordering. A ">f" float32 of e.g. 20.1 would read back
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# as 20.10000038… > 20.1 and report a spurious mismatch forever.
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MAX_MIN_FREQ_KHZ = 0xFFFFFFFF # the I field above; 0 = no floor
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SFFT_FLAG_BG_SUB = 0x01
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SFFT_FLAG_ROW_AVG = 0x02 # peak_freq_mhz came from same-row,
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# distance-weighted averaged CH1
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# waveforms, not raw per-pixel ones;
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# row_avg_n is the neighbor half-width
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# (pixels) used. Bits 2-7 reserved.
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# Fixed channel indices into the .sras data array (CH1=RF, CH3/CH4=Bias DC)
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CH1_IDX, CH3_IDX, CH4_IDX = 0, 1, 2
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CH_NAMES = ["CH1", "CH3", "CH4", "VEL"]
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# Fallback scope calibration used only when reading v2 files without embedded
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# preambles. v3+ files carry the WFMOutpre string so these are not used.
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# 50 mV/div, 8 div full-scale, int8 ADC, position = -2.72 div
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# ymult = 50 mV × 8 / 256 = 1.5625 mV/count
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# yoff = position × (256/8) = -2.72 × 32 = -87.04 (ADC count for 0 V)
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_FALLBACK_YMULT_MV = 1.5625 # mV per ADC count
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_FALLBACK_YOFF_ADC = -87.04 # ADC count that represents 0 V
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# ---------------------------------------------------------------------------
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# Calibration
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# ---------------------------------------------------------------------------
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def _parse_preamble(preamble: str) -> dict[str, float]:
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"""Extract YMULT, YOFF, YZERO from a Tektronix WFMOutpre string.
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Returns a dict with float values for whichever keys are present.
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YMULT is left in V/count as the scope reports it.
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"""
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result = {}
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for key in ("YMULT", "YOFF", "YZERO"):
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m = re.search(rf'\b{key}\s+([-+]?\d*\.?\d+(?:[Ee][+-]?\d+)?)', preamble)
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if m:
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result[key] = float(m.group(1))
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return result
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def mv_to_adc(mv: float, ymult_mv: float = _FALLBACK_YMULT_MV,
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yoff_adc: float = _FALLBACK_YOFF_ADC,
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yzero_mv: float = 0.0) -> float:
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return (mv - yzero_mv) / ymult_mv + yoff_adc
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def adc_to_mv(adc, ymult_mv: float = _FALLBACK_YMULT_MV,
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yoff_adc: float = _FALLBACK_YOFF_ADC,
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yzero_mv: float = 0.0):
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return (adc - yoff_adc) * ymult_mv + yzero_mv
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def _axes_extent(x_axis, y_axis, dx: float, dy: float) -> list[float]:
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"""Matplotlib imshow extent with half-pixel margins, Y flipped so row 0
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renders at the top."""
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return [x_axis[0] - dx / 2, x_axis[-1] + dx / 2,
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y_axis[-1] + dy / 2, y_axis[0] - dy / 2]
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# ---------------------------------------------------------------------------
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# Binary read helpers
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# ---------------------------------------------------------------------------
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def _read_struct(f, fmt: str) -> tuple:
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return struct.unpack(fmt, f.read(struct.calcsize(fmt)))
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def _read_preambles(f, n_ch: int) -> list[str]:
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"""n_ch length-prefixed UTF-8 WFMOutpre strings."""
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out = []
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for _ in range(n_ch):
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(length,) = _read_struct(f, ">H")
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out.append(f.read(length).decode("utf-8"))
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return out
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def _read_background(f) -> np.ndarray:
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"""uint32 sample count followed by that many int8 samples."""
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(n_bg,) = _read_struct(f, ">I")
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return np.frombuffer(f.read(n_bg), dtype=np.int8).astype(np.float32)
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def _read_f32_image(f, shape: tuple[int, int]) -> np.ndarray:
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"""One big-endian float32 image, converted to native float32.
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The conversion matters: np.frombuffer hands back a read-only big-endian
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view, and these arrays flow straight into the display caches and every
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downstream arithmetic op.
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"""
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n_bytes = shape[0] * shape[1] * 4
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return np.frombuffer(f.read(n_bytes), dtype=">f4").reshape(shape).astype(np.float32)
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# ---------------------------------------------------------------------------
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# File parser
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# ---------------------------------------------------------------------------
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class SrasFile:
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"""Parsed in-memory representation of a v2–v7 .sras file.
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Scan geometry (rows, frames, x_start) is exposed per-angle via the
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``n_rows`` / ``n_frames`` / ``x_start_mm`` arrays and the ``x_axis_mm()``
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/ ``y_positions_mm()`` methods, since v6/v7 files scan a different
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bounding box per angle. v2–v5 files have uniform geometry, so these
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arrays just repeat the same value ``n_angles`` times. Waveform data is
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likewise exposed as ``data[angle_idx]``, an array of shape
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``(n_rows[a], n_channels, n_frames[a], samples_per_frame)``.
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Precomputed images (v5's PREC tail or v7's CACH tail) are exposed as
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``precomputed_dc3_mv`` / ``precomputed_dc4_mv`` / ``precomputed_freq_mhz``,
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always as ragged per-angle lists (``list[np.ndarray | None]``, one entry
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per angle, ``None`` where that angle was never stored) regardless of
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source version. The scalars ``precomputed_bg_sub`` /
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``precomputed_row_avg_n`` / ``precomputed_pad_factor`` /
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``precomputed_min_freq_mhz`` record the settings the stored FFT images
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were computed under, so a reader can tell whether they answer the
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question it is actually asking.
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"""
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def __init__(self, path: str):
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self.path = Path(path)
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self._parse()
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def _parse(self):
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with open(self.path, "rb") as f:
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magic = f.read(4)
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if magic != b"SRAS":
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raise ValueError(f"Bad magic bytes: {magic!r}")
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(version,) = struct.unpack(">B", f.read(1))
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self.version = version
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if version in (2, 3, 4, 5):
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self._parse_legacy()
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elif version in (6, 7):
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self._parse_v6()
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else:
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raise ValueError(f"Unsupported version: {version}")
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# ------------------------------------------------------------------
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# Calibration
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# ------------------------------------------------------------------
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def _set_calibration(self, preambles: list[str] | None, n_ch: int):
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"""Populate the per-channel ymult/yoff/yzero lists from preamble
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strings, falling back to the hardcoded scope constants for v2 files
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that carry no preambles."""
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if preambles is None:
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self.preambles = None
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self.ch_ymult_mv = [_FALLBACK_YMULT_MV] * n_ch
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self.ch_yoff_adc = [_FALLBACK_YOFF_ADC] * n_ch
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self.ch_yzero_mv = [0.0] * n_ch
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return
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self.preambles = preambles
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self.ch_ymult_mv, self.ch_yoff_adc, self.ch_yzero_mv = [], [], []
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for p in preambles:
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cal = _parse_preamble(p)
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# The scope reports YMULT and YZERO in volts; store both as mV.
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self.ch_ymult_mv.append(cal.get("YMULT", _FALLBACK_YMULT_MV / 1000) * 1000)
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self.ch_yoff_adc.append(cal.get("YOFF", _FALLBACK_YOFF_ADC))
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self.ch_yzero_mv.append(cal.get("YZERO", 0.0) * 1000)
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def cal(self, ch_idx: int) -> tuple[float, float, float]:
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"""(ymult_mv, yoff_adc, yzero_mv) for one channel — splat straight
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into adc_to_mv / mv_to_adc."""
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return (self.ch_ymult_mv[ch_idx], self.ch_yoff_adc[ch_idx],
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self.ch_yzero_mv[ch_idx])
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def _init_precomputed(self, n_angles: int):
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self.precomputed_freq_mhz: list[np.ndarray | None] = [None] * n_angles
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self.precomputed_dc4_mv: list[np.ndarray | None] = [None] * n_angles
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self.precomputed_dc3_mv: list[np.ndarray | None] = [None] * n_angles
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self.precomputed_bg_sub: bool = False
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self.precomputed_row_avg_n: int = 0
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# Zero-padding factor the stored peak_freq_mhz images were resolved
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# at: 1 = natural resolution (n_fft == samples_per_frame). A padded
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# FFT resolves peaks a padded view would, and only such a view can
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# be served from it — see sras_compute.cached_rf_image.
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self.precomputed_pad_factor: int = 1
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# Min peak frequency floor (MHz) the stored peak search excluded
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# bins below; 0.0 = no floor. Unlike bg-sub/pad/row-avg it is
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# tighten-only re-applicable: a *higher* floor can be re-imposed on
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# a stored image by masking pixels below it, but bins below the
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# stored floor were never searched, so a lower floor needs a real
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# recompute — see sras_compute.cache_mismatch_reasons.
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self.precomputed_min_freq_mhz: float = 0.0
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def encoded_preambles(self) -> bytes:
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"""This file's Preamble Blocks section, as bytes a writer can emit.
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v6/v7 files kept the on-disk span verbatim, which is both cheaper and
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lossless; legacy files did not keep it, and a v2 file has no preambles
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at all, so those are re-encoded from the parsed strings (empty ones for
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v2). Empty is not a silent downgrade: _parse_preamble("") returns {} and
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_set_calibration falls back to the hardcoded scope constants, which is
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exactly the calibration a v2 file already gets, so mV values round-trip
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unchanged.
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Lives here rather than at each writer so the version fan-out sits next
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to the parser that creates it, and no writer has to probe the object
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to find out which shape it got.
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"""
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raw = getattr(self, "preambles_raw", None)
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if raw is not None:
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return raw
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out = bytearray()
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for s in self.preambles or [""] * self.n_channels:
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encoded = s.encode("utf-8")
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out += struct.pack(">H", len(encoded)) + encoded
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return bytes(out)
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def encoded_background(self) -> bytes:
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"""This file's Background Block, as bytes a writer can emit.
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When there is none (v2/v3), this is samples_per_frame zeros rather than
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a zero-length block. Every consumer guards on `background is not None`
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and then subtracts it from a (spf,)-shaped row, so a length-0 array
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would broadcast-fail at the first background-subtracted FFT; zeros make
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the subtraction a correct no-op instead.
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"""
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raw = getattr(self, "background_raw", None)
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if raw is not None:
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return raw
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if self.background is None:
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samples = np.zeros(self.samples_per_frame, dtype=np.int8)
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else:
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samples = np.rint(self.background).astype(np.int8)
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return struct.pack(">I", samples.size) + samples.tobytes()
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def cached_dc_mv(self, angle_idx: int, ch_idx: int) -> np.ndarray | None:
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"""A stored DC image (already in mV) for (angle, channel), or None."""
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store = self.precomputed_dc3_mv if ch_idx == CH3_IDX else self.precomputed_dc4_mv
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return store[angle_idx] if angle_idx < len(store) else None
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def image_shape(self, angle_idx: int) -> tuple[int, int]:
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return int(self.n_rows[angle_idx]), int(self.n_frames[angle_idx])
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# ------------------------------------------------------------------
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# v2–v5 parsing (uniform geometry, flat waveform block)
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# ------------------------------------------------------------------
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def _parse_legacy(self):
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with open(self.path, "rb") as f:
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(magic, ver, n_angles, n_rows, x_start, x_delta, vel, freq,
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n_frames_hdr, spf, sr, bps, n_ch) = _read_struct(f, HDR_FMT)
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self.n_angles = n_angles
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self.velocity_mm_s = float(vel)
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self.laser_freq_hz = float(freq)
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self.n_frames_header = n_frames_hdr # configured count (may be wrong)
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self.samples_per_frame = spf
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self.sample_rate_hz = float(sr)
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self.bytes_per_sample = bps
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self.n_channels = n_ch
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self._init_precomputed(n_angles)
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self.scan_aborted = False
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self.n_angles_declared = n_angles
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# Pre-v6 files carry no nominal ROI. Defined as None rather than
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# left absent so the object's shape does not depend on its version
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# and writers can ask instead of probing with hasattr.
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self.x_start_nominal_mm = None
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self.y_start_nominal_mm = None
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self.x_delta_nominal_mm = None
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self.y_delta_nominal_mm = None
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self.row_spacing_mm = None
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angles = np.frombuffer(f.read(n_angles * 4), dtype=">f4").astype(np.float32)
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y_pos = np.frombuffer(f.read(n_rows * 4), dtype=">f4").astype(np.float32)
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self._set_calibration(_read_preambles(f, n_ch) if ver >= 3 else None, n_ch)
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self.background = _read_background(f) if ver >= 4 else None
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# Record where raw waveform data begins; np.memmap maps from here.
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data_offset = f.tell()
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# ---- Determine actual frame count from file size ---------------
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# For v4 and earlier the header n_frames may be the *configured*
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# count before acquisition; the actual count is derived from the
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# bytes on disk. For v5 files a PREC tail follows the waveform
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# data, so we must not include those extra bytes in the frame count.
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file_size = self.path.stat().st_size
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samples_per_row_per_ch = n_ch * spf
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available_bytes = file_size - data_offset
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if ver == 5:
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actual_n_frames = n_frames_hdr
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remainder = 0
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else:
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total_samples = available_bytes // bps
|
||
per_frame = n_angles * n_rows * samples_per_row_per_ch
|
||
actual_n_frames = total_samples // per_frame
|
||
remainder = total_samples % per_frame
|
||
|
||
self.frame_count_mismatch = (actual_n_frames != n_frames_hdr)
|
||
self.n_frames_remainder = remainder
|
||
|
||
# ---- Memory-map the waveform data (zero RAM cost) --------------
|
||
# Instead of f.read() → astype() (which peaks at 2× file size),
|
||
# memmap lets the OS page only the bytes that are actually touched.
|
||
data5d = np.memmap(
|
||
str(self.path),
|
||
dtype=np.int8 if bps == 1 else ">i2",
|
||
mode="r",
|
||
offset=data_offset,
|
||
shape=(n_angles, n_rows, n_ch, actual_n_frames, spf),
|
||
)
|
||
# Expose as a list of per-angle views so downstream code shares one
|
||
# indexing convention with v6: sras.data[a][row, ch, frame, sample]
|
||
self.data = [data5d[a] for a in range(n_angles)]
|
||
|
||
# Uniform per-angle geometry, repeated so callers don't need to
|
||
# special-case legacy vs. v6 files.
|
||
self.n_rows = np.full(n_angles, n_rows, dtype=np.int64)
|
||
self.n_frames = np.full(n_angles, actual_n_frames, dtype=np.int64)
|
||
self.x_start_mm = np.full(n_angles, float(x_start), dtype=np.float64)
|
||
self.x_delta_mm = float(x_delta) # reference only; kept for re-encode
|
||
self._y_pos_per_angle = [y_pos] * n_angles
|
||
self.angles_deg = angles
|
||
self._data_offset = data_offset
|
||
|
||
if ver >= 5:
|
||
waveform_bytes = actual_n_frames * n_angles * n_rows * n_ch * spf * bps
|
||
prec_offset = data_offset + waveform_bytes
|
||
if file_size > prec_offset:
|
||
self._parse_prec_section(prec_offset)
|
||
|
||
def _parse_prec_section(self, offset: int):
|
||
"""Parse the v5 PREC tail that holds precomputed images.
|
||
|
||
Stored per-angle as (freq, dc4, dc3), each a full-image float32
|
||
block prefixed by its uint16 angle index.
|
||
"""
|
||
with open(self.path, "rb") as f:
|
||
f.seek(offset)
|
||
header_raw = f.read(6) # magic(4) + fmt_ver(1) + flags(1)
|
||
if len(header_raw) < 6 or header_raw[:4] != PREC_MAGIC:
|
||
return
|
||
self.precomputed_bg_sub = bool(header_raw[5] & PREC_FLAG_BG_SUB)
|
||
|
||
(n_stored,) = _read_struct(f, ">H")
|
||
for _ in range(n_stored):
|
||
(aidx,) = _read_struct(f, ">H")
|
||
if aidx >= self.n_angles:
|
||
break
|
||
shape = self.image_shape(aidx)
|
||
self.precomputed_freq_mhz[aidx] = _read_f32_image(f, shape)
|
||
self.precomputed_dc4_mv[aidx] = _read_f32_image(f, shape)
|
||
self.precomputed_dc3_mv[aidx] = _read_f32_image(f, shape)
|
||
|
||
# ------------------------------------------------------------------
|
||
# v6/v7 parsing (per-angle geometry, ragged waveform blocks)
|
||
# ------------------------------------------------------------------
|
||
|
||
def _parse_v6(self):
|
||
with open(self.path, "rb") as f:
|
||
(magic, ver, n_angles, x_start_nom, y_start_nom, x_delta_nom,
|
||
y_delta_nom, row_spacing, vel, freq, spf, sr, bps,
|
||
n_ch) = _read_struct(f, HDR_FMT_V6)
|
||
|
||
n_angles_declared = n_angles
|
||
|
||
self.velocity_mm_s = float(vel)
|
||
self.laser_freq_hz = float(freq)
|
||
self.samples_per_frame = spf
|
||
self.sample_rate_hz = float(sr)
|
||
self.bytes_per_sample = bps
|
||
self.n_channels = n_ch
|
||
|
||
# Reference-only fields: the ROI as entered before per-angle
|
||
# bounding-box expansion. Actual per-angle geometry used for
|
||
# rendering comes from the Per-Angle Geometry Table below.
|
||
self.x_start_nominal_mm = float(x_start_nom)
|
||
self.y_start_nominal_mm = float(y_start_nom)
|
||
self.x_delta_nominal_mm = float(x_delta_nom)
|
||
self.y_delta_nominal_mm = float(y_delta_nom)
|
||
self.row_spacing_mm = float(row_spacing)
|
||
|
||
self.n_frames_header = None
|
||
self.frame_count_mismatch = False
|
||
self.n_frames_remainder = 0
|
||
|
||
angles = np.frombuffer(f.read(n_angles * 4), dtype=">f4").astype(np.float32)
|
||
|
||
x_start = np.empty(n_angles, dtype=np.float64)
|
||
x_delta = np.empty(n_angles, dtype=np.float64)
|
||
n_frames = np.empty(n_angles, dtype=np.int64)
|
||
n_rows = np.empty(n_angles, dtype=np.int64)
|
||
for a in range(n_angles):
|
||
xs, xd, nf, nr = _read_struct(f, GEO_FMT_V6)
|
||
x_start[a], x_delta[a], n_frames[a], n_rows[a] = xs, xd, nf, nr
|
||
|
||
y_pos_per_angle = [
|
||
np.frombuffer(f.read(int(n_rows[a]) * 4), dtype=">f4").astype(np.float32)
|
||
for a in range(n_angles)
|
||
]
|
||
|
||
# Verbatim on-disk spans of the preamble and background sections,
|
||
# kept so file-rewriting tools (sras_edit_scans) can carry them
|
||
# over byte-for-byte without re-parsing.
|
||
span_start = f.tell()
|
||
self._set_calibration(_read_preambles(f, n_ch), n_ch)
|
||
span_end = f.tell()
|
||
f.seek(span_start)
|
||
self.preambles_raw = f.read(span_end - span_start)
|
||
|
||
span_start = span_end
|
||
self.background = _read_background(f)
|
||
span_end = f.tell()
|
||
f.seek(span_start)
|
||
self.background_raw = f.read(span_end - span_start)
|
||
|
||
data_offset = span_end
|
||
|
||
self._data_offset = data_offset
|
||
|
||
# ---- Memory-map each angle's ragged waveform block -------------
|
||
# v6 gives each angle its own row/frame count, so waveform data is
|
||
# no longer one uniform (n_angles, n_rows, ...) block — each angle's
|
||
# block sits at a different offset with its own shape. An aborted
|
||
# scan truncates the file mid-angle; per the format spec we keep
|
||
# whatever complete angles are present rather than refusing to open
|
||
# the file.
|
||
file_size = self.path.stat().st_size
|
||
waveform_dtype = np.int8 if bps == 1 else ">i2"
|
||
|
||
data = []
|
||
offset = data_offset
|
||
for a in range(n_angles):
|
||
nr, nf = int(n_rows[a]), int(n_frames[a])
|
||
nbytes = nr * n_ch * nf * spf * bps
|
||
if offset + nbytes > file_size:
|
||
break
|
||
data.append(np.memmap(
|
||
str(self.path), dtype=waveform_dtype, mode="r",
|
||
offset=offset, shape=(nr, n_ch, nf, spf),
|
||
))
|
||
offset += nbytes
|
||
|
||
n_complete = len(data)
|
||
if n_complete == 0:
|
||
raise ValueError(
|
||
"v6 file has no complete angle blocks — scan was aborted "
|
||
"before the first angle finished.")
|
||
|
||
self.data = data
|
||
self.n_angles = n_complete
|
||
self.n_angles_declared = n_angles_declared
|
||
self.scan_aborted = n_complete < n_angles_declared
|
||
self.angles_deg = angles[:n_complete]
|
||
self.x_start_mm = x_start[:n_complete]
|
||
self.x_delta_mm_per_angle = x_delta[:n_complete]
|
||
self.n_frames = n_frames[:n_complete]
|
||
self.n_rows = n_rows[:n_complete]
|
||
self._y_pos_per_angle = y_pos_per_angle[:n_complete]
|
||
|
||
self._init_precomputed(n_complete)
|
||
if self.version == 7 and offset < file_size:
|
||
self._parse_cach_section(offset)
|
||
|
||
# ------------------------------------------------------------------
|
||
# Byte-layout accessors (public: used by file-rewriting tools)
|
||
# ------------------------------------------------------------------
|
||
|
||
@property
|
||
def data_offset(self) -> int:
|
||
"""File offset where the waveform data begins (headers end)."""
|
||
return self._data_offset
|
||
|
||
@property
|
||
def y_pos_per_angle(self) -> list[np.ndarray]:
|
||
"""Per-angle Y row positions (mm). The list and its arrays are the
|
||
live parsed state — tools that reproject may replace entries."""
|
||
return self._y_pos_per_angle
|
||
|
||
@y_pos_per_angle.setter
|
||
def y_pos_per_angle(self, value: list[np.ndarray]):
|
||
self._y_pos_per_angle = value
|
||
|
||
def iter_angle_blocks(self):
|
||
"""Yields (angle_idx, byte_offset, byte_count) for each complete
|
||
angle's waveform block. Works for every version: legacy files have
|
||
uniform per-angle geometry, so the same walk applies."""
|
||
offset = self._data_offset
|
||
for a in range(self.n_angles):
|
||
nbytes = (int(self.n_rows[a]) * self.n_channels
|
||
* int(self.n_frames[a]) * self.samples_per_frame
|
||
* self.bytes_per_sample)
|
||
yield a, offset, nbytes
|
||
offset += nbytes
|
||
|
||
# ------------------------------------------------------------------
|
||
# v7 cache tail (CACH section: precomputed DC / FFT images)
|
||
# ------------------------------------------------------------------
|
||
|
||
def _cache_tail_offset(self) -> int:
|
||
"""Deterministic file offset where the CACH tail starts (or would
|
||
start), derived purely from the header + Per-Angle Geometry Table —
|
||
independent of whether a cache tail is actually present. Used by
|
||
both the parser and the in-place writer."""
|
||
end = self._data_offset
|
||
for _, offset, nbytes in self.iter_angle_blocks():
|
||
end = offset + nbytes
|
||
return end
|
||
|
||
def _read_cache_block(self, f, hdr_fmt: str, magic: bytes,
|
||
stores: list[list]) -> int | None:
|
||
"""Read one CACH sub-block header, then its per-angle image entries
|
||
into *stores* (one list per image the block stores per angle).
|
||
|
||
Returns the header's flags byte, or None if the block is malformed.
|
||
"""
|
||
raw = f.read(struct.calcsize(hdr_fmt))
|
||
if len(raw) < struct.calcsize(hdr_fmt):
|
||
return None
|
||
block_magic, flags, n_stored = struct.unpack(hdr_fmt, raw)
|
||
if block_magic != magic:
|
||
return None
|
||
for _ in range(n_stored):
|
||
(angle_idx,) = _read_struct(f, ">H")
|
||
if angle_idx >= self.n_angles:
|
||
break
|
||
shape = self.image_shape(angle_idx)
|
||
for store in stores:
|
||
store[angle_idx] = _read_f32_image(f, shape)
|
||
return flags
|
||
|
||
def _read_sfft_block(self, f, cach_version: int) -> tuple[int, int, int, float] | None:
|
||
"""Read the SFFT block header — its layout depends on cach_version,
|
||
since each bump appended a trailing field (v2 row_avg_n, v3
|
||
pad_factor, v4 min_freq_khz) — then n_stored per-angle
|
||
peak_freq_mhz entries (unchanged across versions).
|
||
|
||
Returns (flags, row_avg_n, pad_factor, min_freq_mhz), or None if
|
||
the block is malformed. The absent fields of an older tail take the
|
||
value that describes what such a tail can only have been:
|
||
row_avg_n=0 for v1, which predates row-averaged FFT caching;
|
||
pad_factor=1 for v1/v2, which predate padded caching and so are
|
||
natural-resolution; and min_freq_mhz=0.0 for v1-v3, which predate
|
||
the min peak frequency floor and so searched every bin above DC.
|
||
"""
|
||
hdr_fmt = {1: SFFT_HDR_FMT_V1, 2: SFFT_HDR_FMT_V2,
|
||
3: SFFT_HDR_FMT_V3}.get(cach_version, SFFT_HDR_FMT)
|
||
raw = f.read(struct.calcsize(hdr_fmt))
|
||
if len(raw) < struct.calcsize(hdr_fmt):
|
||
return None
|
||
row_avg_n, pad_factor, min_freq_khz = 0, 1, 0
|
||
if cach_version == 1:
|
||
magic, flags, n_stored = struct.unpack(hdr_fmt, raw)
|
||
elif cach_version == 2:
|
||
magic, flags, n_stored, row_avg_n = struct.unpack(hdr_fmt, raw)
|
||
elif cach_version == 3:
|
||
magic, flags, n_stored, row_avg_n, pad_factor = struct.unpack(hdr_fmt, raw)
|
||
else:
|
||
(magic, flags, n_stored, row_avg_n, pad_factor,
|
||
min_freq_khz) = struct.unpack(hdr_fmt, raw)
|
||
if magic != SFFT_MAGIC:
|
||
return None
|
||
for _ in range(n_stored):
|
||
(angle_idx,) = _read_struct(f, ">H")
|
||
if angle_idx >= self.n_angles:
|
||
break
|
||
self.precomputed_freq_mhz[angle_idx] = _read_f32_image(
|
||
f, self.image_shape(angle_idx))
|
||
return flags, row_avg_n, pad_factor, min_freq_khz / 1000.0
|
||
|
||
def _parse_cach_section(self, offset: int):
|
||
"""Parse the v7 CACH tail that holds precomputed DC/FFT images."""
|
||
with open(self.path, "rb") as f:
|
||
f.seek(offset)
|
||
header_raw = f.read(CACH_HDR_SIZE)
|
||
if len(header_raw) < CACH_HDR_SIZE:
|
||
return
|
||
magic, cach_version, block_flags = struct.unpack(CACH_HDR_FMT, header_raw)
|
||
if magic != CACH_MAGIC or cach_version not in CACH_VERSIONS_READABLE:
|
||
return
|
||
|
||
if block_flags & CACH_FLAG_DC:
|
||
if self._read_cache_block(
|
||
f, SDCB_HDR_FMT, SDCB_MAGIC,
|
||
[self.precomputed_dc3_mv, self.precomputed_dc4_mv]) is None:
|
||
return
|
||
|
||
if block_flags & CACH_FLAG_FFT:
|
||
result = self._read_sfft_block(f, cach_version)
|
||
if result is None:
|
||
return
|
||
flags, row_avg_n, pad_factor, min_freq_mhz = result
|
||
self.precomputed_bg_sub = bool(flags & SFFT_FLAG_BG_SUB)
|
||
self.precomputed_row_avg_n = row_avg_n if (flags & SFFT_FLAG_ROW_AVG) else 0
|
||
self.precomputed_pad_factor = max(1, pad_factor)
|
||
# No flag bit gates the floor: 0 (= no floor) is already the
|
||
# value every pre-v4 tail reads as.
|
||
self.precomputed_min_freq_mhz = min_freq_mhz
|
||
|
||
def write_v7_cache(self, *,
|
||
new_dc3_mv: list[np.ndarray | None] | None = None,
|
||
new_dc4_mv: list[np.ndarray | None] | None = None,
|
||
new_freq_mhz: list[np.ndarray | None] | None = None,
|
||
new_bg_sub: bool | None = None,
|
||
new_row_avg_n: int | None = None,
|
||
new_pad_factor: int | None = None,
|
||
new_min_freq_mhz: float | None = None):
|
||
"""Store computed DC and/or FFT images into this file's CACH tail,
|
||
in place, converting a v6 source to v7 (or updating an existing v7
|
||
file). Only the block(s) passed in are recomputed; whichever block
|
||
isn't passed is carried forward unchanged from whatever this
|
||
``SrasFile`` already has in memory (from parsing, or a prior write
|
||
in this same session) — its bytes are never re-read from disk.
|
||
|
||
*new_row_avg_n* is the same-row neighbor half-width (pixels) the
|
||
passed *new_freq_mhz* was averaged over before its FFT, 0 for a raw
|
||
(unaveraged) compute — carried forward like *new_bg_sub* when None.
|
||
It describes the whole stored FFT block, not per-angle, mirroring
|
||
how bg-sub has never been tracked per-angle either.
|
||
|
||
*new_pad_factor* is the zero-padding factor the passed *new_freq_mhz*
|
||
was resolved at (1 = natural resolution), carried forward the same
|
||
way. Like row_avg_n it is provenance, not a hint: a view at a
|
||
different pad resolves different peaks, so recording it is what lets
|
||
a reader refuse the cache instead of showing the wrong numbers.
|
||
|
||
*new_min_freq_mhz* is the min peak frequency floor the passed
|
||
*new_freq_mhz*'s peak search excluded bins below (0.0 = no floor),
|
||
carried forward the same way. It is stored fixed-point (whole kHz),
|
||
so the value is quantized to 0.001 MHz on write and
|
||
``precomputed_min_freq_mhz`` is updated to the quantized value —
|
||
what a reload would see, never a float the header can't represent.
|
||
|
||
The waveform data itself is never touched: the cache tail always
|
||
starts at ``_cache_tail_offset()``, a fixed offset derived from the
|
||
header and geometry table alone.
|
||
"""
|
||
if self.version not in (6, 7):
|
||
raise ValueError(
|
||
f"write_v7_cache only supports v6/v7 source files, got v{self.version}")
|
||
|
||
final_dc3 = new_dc3_mv if new_dc3_mv is not None else self.precomputed_dc3_mv
|
||
final_dc4 = new_dc4_mv if new_dc4_mv is not None else self.precomputed_dc4_mv
|
||
final_freq = new_freq_mhz if new_freq_mhz is not None else self.precomputed_freq_mhz
|
||
final_bg_sub = new_bg_sub if new_bg_sub is not None else self.precomputed_bg_sub
|
||
final_row_avg_n = (new_row_avg_n if new_row_avg_n is not None
|
||
else self.precomputed_row_avg_n)
|
||
final_pad_factor = (new_pad_factor if new_pad_factor is not None
|
||
else self.precomputed_pad_factor)
|
||
final_min_freq_mhz = (new_min_freq_mhz if new_min_freq_mhz is not None
|
||
else self.precomputed_min_freq_mhz)
|
||
if not (0 <= final_row_avg_n <= 255):
|
||
raise ValueError(f"row_avg_n must fit in a byte (0-255), got {final_row_avg_n}")
|
||
if not (1 <= final_pad_factor <= MAX_PAD_FACTOR):
|
||
raise ValueError(
|
||
f"pad_factor must be 1-{MAX_PAD_FACTOR}, got {final_pad_factor}")
|
||
if not (np.isfinite(final_min_freq_mhz) and final_min_freq_mhz >= 0):
|
||
raise ValueError(
|
||
f"min_freq_mhz must be a finite value >= 0, got {final_min_freq_mhz}")
|
||
final_min_freq_khz = int(round(final_min_freq_mhz * 1000))
|
||
if final_min_freq_khz > MAX_MIN_FREQ_KHZ:
|
||
raise ValueError(
|
||
f"min_freq_mhz too large for the u32 kHz header field: "
|
||
f"{final_min_freq_mhz}")
|
||
|
||
dc_entries = [a for a in range(self.n_angles) if final_dc3[a] is not None]
|
||
fft_entries = [a for a in range(self.n_angles) if final_freq[a] is not None]
|
||
|
||
block_flags = ((CACH_FLAG_DC if dc_entries else 0)
|
||
| (CACH_FLAG_FFT if fft_entries else 0))
|
||
|
||
payload = bytearray()
|
||
payload += struct.pack(CACH_HDR_FMT, CACH_MAGIC, CACH_VERSION, block_flags)
|
||
|
||
if dc_entries:
|
||
payload += struct.pack(SDCB_HDR_FMT, SDCB_MAGIC, 0, len(dc_entries))
|
||
for a in dc_entries:
|
||
payload += struct.pack(">H", a)
|
||
payload += final_dc3[a].astype(">f4").tobytes()
|
||
payload += final_dc4[a].astype(">f4").tobytes()
|
||
|
||
if fft_entries:
|
||
fft_flags = SFFT_FLAG_BG_SUB if final_bg_sub else 0
|
||
fft_flags |= SFFT_FLAG_ROW_AVG if final_row_avg_n else 0
|
||
payload += struct.pack(SFFT_HDR_FMT, SFFT_MAGIC, fft_flags,
|
||
len(fft_entries), final_row_avg_n,
|
||
final_pad_factor, final_min_freq_khz)
|
||
for a in fft_entries:
|
||
payload += struct.pack(">H", a)
|
||
payload += final_freq[a].astype(">f4").tobytes()
|
||
|
||
with open(self.path, "r+b") as f:
|
||
f.seek(self._cache_tail_offset())
|
||
f.write(payload)
|
||
f.truncate()
|
||
f.flush()
|
||
os.fsync(f.fileno())
|
||
# Version-byte flip last: if the process dies before this point,
|
||
# the file is still readable as plain v6 (v6 parsing only
|
||
# bounds-checks per-angle offset+nbytes <= file_size, it never
|
||
# asserts exactly how many bytes follow the last angle) — so an
|
||
# interrupted write can never corrupt the file, only leave
|
||
# harmless trailing bytes that the next successful write
|
||
# overwrites via this same deterministic cache offset.
|
||
f.seek(4)
|
||
f.write(struct.pack("B", 7))
|
||
f.flush()
|
||
os.fsync(f.fileno())
|
||
|
||
self.version = 7
|
||
self.precomputed_dc3_mv = final_dc3
|
||
self.precomputed_dc4_mv = final_dc4
|
||
self.precomputed_freq_mhz = final_freq
|
||
self.precomputed_bg_sub = final_bg_sub
|
||
self.precomputed_row_avg_n = final_row_avg_n
|
||
self.precomputed_pad_factor = final_pad_factor
|
||
self.precomputed_min_freq_mhz = final_min_freq_khz / 1000.0
|
||
|
||
# ------------------------------------------------------------------
|
||
# Axes helpers
|
||
# ------------------------------------------------------------------
|
||
|
||
@property
|
||
def pixel_x_mm(self) -> float:
|
||
return self.velocity_mm_s / self.laser_freq_hz
|
||
|
||
def x_axis_mm(self, angle_idx: int) -> np.ndarray:
|
||
n = int(self.n_frames[angle_idx])
|
||
return self.x_start_mm[angle_idx] + np.arange(n) * self.pixel_x_mm
|
||
|
||
def y_positions_mm(self, angle_idx: int) -> np.ndarray:
|
||
return self._y_pos_per_angle[angle_idx]
|
||
|
||
def angles_share_raw_grid(self) -> bool:
|
||
"""True iff every angle's raw (x, y) pixel grid is literally the same
|
||
array as angle 0's -- the case for a .sras file the viewer's own
|
||
Alignment Wizard exported (see scan_format.md, "Files written by the
|
||
viewer's Alignment Wizard"): the writer packs one Per-Angle Geometry
|
||
record and one Row Table span and repeats those same bytes for every
|
||
angle, so re-parsed arrays are bit-identical copies rather than
|
||
independently re-derived numbers -- a bare np.array_equal is the
|
||
correct test here, no tolerance needed.
|
||
"""
|
||
if self.n_angles <= 1:
|
||
return True
|
||
x0 = self.x_axis_mm(0)
|
||
y0 = self.y_positions_mm(0)
|
||
return all(np.array_equal(self.x_axis_mm(a), x0)
|
||
and np.array_equal(self.y_positions_mm(a), y0)
|
||
for a in range(1, self.n_angles))
|
||
|
||
def time_axis_ns(self) -> np.ndarray:
|
||
return np.arange(self.samples_per_frame) / self.sample_rate_hz * 1e9
|
||
|
||
def freq_axis_mhz(self, n_fft: int | None = None) -> np.ndarray:
|
||
n = n_fft if n_fft is not None else self.samples_per_frame
|
||
return np.fft.rfftfreq(n, d=1.0 / self.sample_rate_hz) / 1e6
|