v0.20.0 -- Full s3 event parse and PDF creation. #28

Merged
serversdown merged 46 commits from dev into main 2026-05-28 17:54:34 -04:00
2 changed files with 341 additions and 112 deletions
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+6 -1
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@@ -8,7 +8,12 @@ All notable changes to seismo-relay are documented here.
### Added ### Added
- **Event Report PDF generation** — `GET /db/events/{id}/report.pdf` returns a single-page letter-portrait PDF for any event with waveform data on disk. Covers every field a Blastware Event Report includes: header metadata (date/time, trigger source, range, sample rate, project/client/operator/location, serial+firmware, battery, calibration, file name), microphone block (PSPL in dB(L) + psi, ZC freq, channel test), per-channel stats table (PPV / ZC Freq / Time of Peak / Peak Accel / Peak Disp / Sensor Check), Peak Vector Sum, and the 4-channel waveform plot stacked Instantel-style (MicL top → Tran bottom, shared time axis, trigger marker, symmetric Y on geo channels, zero-anchored on mic). Histogram events render as per-interval bar charts instead of waveform plots. USBM RI8507 / OSMRE compliance chart still stubbed — separate work item. Backed by matplotlib (vector PDF output, no headless-browser dep); new `sfm/report_pdf.py` does data assembly + rendering. **Visual layout is approximate** until reference PDFs land at `docs/reference/instantel/` to iterate against. - **Event Report PDF generation** — `GET /db/events/{id}/report.pdf` returns a single-page letter-portrait PDF for any event with waveform data on disk. Covers every field a Blastware Event Report includes: header metadata (date/time, trigger source, range, sample rate, project/client/operator/location, serial+firmware, battery, calibration, file name), microphone block (PSPL in dB(L) + psi, ZC freq, channel test), per-channel stats table (rows differ for waveform vs histogram), Peak Vector Sum, and the 4-channel plot. Iterated against real Blastware reference PDFs (uploaded to `example-events/pdfsnstuff/`):
- **Waveform layout**: header shows Date/Time, Trigger Source, Range, Sample Rate; stats table has PPV / ZC Freq / Time (Rel. to Trig) / Peak Accel / Peak Disp / Sensor Check; bottom plot is 4-channel line waveform (MicL top → Tran bottom), shared time axis in seconds, dashed trigger line + triangle marker at t=0, symmetric Y on geo channels, zero-anchored on mic, "0.0" baseline label on right per BW convention; footer shows `Time X sec/div Amplitude Geo: Y in/s/div Mic: 0.001 psi(L)/div` and the trigger window `▶━━◀` marker. USBM RI8507/OSMRE compliance chart placeholder upper-right.
- **Histogram layout**: header shows Start / Finish / Intervals At Size / Range / Sample Rate (no Trigger Source — histograms aren't triggered); NO USBM chart; stats table has PPV / ZC Freq / Date / Time / Sensor Check; bottom plot is per-interval bar chart, Y-axis 0-to-peak (never negative), 0.0 baseline at the bottom; footer shows `Time INTERVAL_SIZE /div Amplitude Geo: Y in/s/div Mic: 0.001 psi(L)/div`.
- Backed by matplotlib (vector PDF, no headless-browser dep). Adds matplotlib>=3.8 to deps.
- **Known gap**: histogram codec returns per-block granularity (~200 bars for a 4-interval event) instead of BW's per-interval aggregation. Visual difference vs BW's 4-bar display. XML-driven data source (parsing the structured `_XML.XML` files BW also exports) is the planned fix; that route also resolves the bw_ascii_report PPV-miss bug.
- **Stubbed**: USBM RI8507 / OSMRE compliance chart curves (separate work item; requires coding the regulatory piecewise functions).
- **"Download PDF" button** in the event modal's footer — triggers the new endpoint; opens in a new tab so the browser handles save-or-display + surfaces any 404 / server errors visibly. - **"Download PDF" button** in the event modal's footer — triggers the new endpoint; opens in a new tab so the browser handles save-or-display + surfaces any 404 / server errors visibly.
- **SFM webapp now opens to Database view by default** and the History table is fully interactive. Click any column header to sort ascending / descending (timestamp, serial, per-channel PPV, PVS, mic dB(L), project, client, record type, key — all sortable). Click any event row to open the event modal, which now renders a **4-channel waveform plot inline** (MicL / Long / Vert / Tran stacked, Instantel-printout order) alongside the existing sidecar review fields. Headers are sticky so the columns stay visible while scrolling long event lists. No more "where is the viewer" — pick a unit from the filter dropdown, scan the table, click the event, see the waveform. - **SFM webapp now opens to Database view by default** and the History table is fully interactive. Click any column header to sort ascending / descending (timestamp, serial, per-channel PPV, PVS, mic dB(L), project, client, record type, key — all sortable). Click any event row to open the event modal, which now renders a **4-channel waveform plot inline** (MicL / Long / Vert / Tran stacked, Instantel-printout order) alongside the existing sidecar review fields. Headers are sticky so the columns stay visible while scrolling long event lists. No more "where is the viewer" — pick a unit from the filter dropdown, scan the table, click the event, see the waveform.
+332 -108
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@@ -123,6 +123,16 @@ class ReportData:
record_type: Optional[str] = None record_type: Optional[str] = None
is_histogram: bool = False is_histogram: bool = False
# Histogram-only fields — only populated for record_type starts with 'Hist'
histogram_start_str: Optional[str] = None # "22:30:38 May 16, 2026"
histogram_stop_str: Optional[str] = None
histogram_n_intervals: Optional[float] = None # 4.00
histogram_interval_size: Optional[str] = None # "1 minute"
histogram_interval_times: list[str] = field(default_factory=list) # per-interval timestamps for x-axis
# Peak Vector Sum metadata (histograms show absolute date+time)
peak_vector_sum_when_str: Optional[str] = None
# Bookkeeping # Bookkeeping
event_id: Optional[str] = None event_id: Optional[str] = None
server_received_at: Optional[str] = None server_received_at: Optional[str] = None
@@ -231,6 +241,19 @@ def gather_report_data(
rd.peak_vector_sum_ips = vs.get("ips") rd.peak_vector_sum_ips = vs.get("ips")
rd.peak_vector_sum_time_s = vs.get("time_s") rd.peak_vector_sum_time_s = vs.get("time_s")
# Histogram-specific header fields. These come from the BW XML
# at ingest time (when present); the parsed bw_report dict
# carries them under the 'histogram' sub-block (added by the
# BW XML parser once that lands). For now, derive from the
# event timestamp + recording config as a best-effort.
if rd.is_histogram:
hist = bw.get("histogram") or {}
rd.histogram_start_str = hist.get("start_str") or rd.event_datetime_str
rd.histogram_stop_str = hist.get("stop_str")
rd.histogram_n_intervals = hist.get("n_intervals")
rd.histogram_interval_size = hist.get("interval_size")
rd.histogram_interval_times = hist.get("interval_times") or []
# ── Waveform samples — from the .h5 via the existing helper ── # ── Waveform samples — from the .h5 via the existing helper ──
from sfm import event_hdf5 from sfm import event_hdf5
h5_path = store.hdf5_path_for(serial, filename) h5_path = store.hdf5_path_for(serial, filename)
@@ -258,53 +281,31 @@ def gather_report_data(
def render_event_report_pdf(rd: ReportData) -> bytes: def render_event_report_pdf(rd: ReportData) -> bytes:
"""Render an event report dict to a single-page letter PDF. """Render an event report dict to a single-page letter PDF.
Returns the raw PDF bytes — caller streams them back via FastAPI. Branches on ``rd.is_histogram`` — waveform and histogram layouts
differ in their header fields, stats-table rows, and bottom plot.
NOTE: this is a v0.20.0 stub layout. The visual hierarchy will be Layout modeled on Blastware's Event Report PDFs (samples in
refined once reference PDFs land at docs/reference/instantel/. All docs/reference/instantel/).
fields the printout includes are surfaced; spacing and typography
are approximate.
""" """
# Letter portrait — 8.5"×11" # Letter portrait — 8.5"×11"
fig = plt.figure(figsize=(8.5, 11), dpi=100) fig = plt.figure(figsize=(8.5, 11), dpi=100)
fig.patch.set_facecolor("white") fig.patch.set_facecolor("white")
# Grid: header rows on top, stats in the middle, waveform plot at bottom
# height_ratios sum doesn't matter, only the relative proportions
gs = fig.add_gridspec(
nrows=4, ncols=1,
left=0.07, right=0.96, top=0.96, bottom=0.04,
height_ratios=[2.2, 1.0, 1.4, 5.0],
hspace=0.35,
)
# ── Header area (top) ──
ax_header = fig.add_subplot(gs[0])
ax_header.axis("off")
_draw_header(ax_header, rd)
# ── Mic block (left) + USBM chart placeholder (right) ──
ax_mic = fig.add_subplot(gs[1])
ax_mic.axis("off")
_draw_mic_block(ax_mic, rd)
# ── Per-channel stats table + Peak Vector Sum ──
ax_stats = fig.add_subplot(gs[2])
ax_stats.axis("off")
_draw_channel_stats(ax_stats, rd)
# ── Waveform / histogram plot ──
if rd.is_histogram: if rd.is_histogram:
_draw_histogram_subplot(fig, gs[3], rd) _render_histogram_layout(fig, rd)
else: else:
_draw_waveform_subplot(fig, gs[3], rd) _render_waveform_layout(fig, rd)
# Footer # Footer (common to both layouts) — Created date + Xmark-like attribution.
fig.text( fig.text(
0.07, 0.015, 0.07, 0.015,
f"Generated by seismo-relay • event_id={rd.event_id or ''}", f"Created: {rd.server_received_at or ''} • seismo-relay",
fontsize=7, color="#888", ha="left", fontsize=7, color="#888", ha="left",
) )
fig.text(
0.93, 0.015,
f"Event {rd.event_id[:8] if rd.event_id else ''}",
fontsize=7, color="#888", ha="right",
)
buf = io.BytesIO() buf = io.BytesIO()
fig.savefig(buf, format="pdf") fig.savefig(buf, format="pdf")
@@ -312,6 +313,69 @@ def render_event_report_pdf(rd: ReportData) -> bytes:
return buf.getvalue() return buf.getvalue()
def _render_waveform_layout(fig, rd: ReportData) -> None:
"""Waveform layout: header / mic+USBM / per-channel stats / waveform plot.
Stats table includes Time (Rel. to Trig), Peak Accel, Peak Disp.
Left margin sized to fit the channel labels (MicL/Long/Vert/Tran).
"""
gs = fig.add_gridspec(
nrows=4, ncols=1,
left=0.11, right=0.94, top=0.97, bottom=0.06,
height_ratios=[1.7, 2.0, 1.8, 5.5],
hspace=0.35,
)
ax_header = fig.add_subplot(gs[0]); ax_header.axis("off")
_draw_header_waveform(ax_header, rd)
ax_mid = fig.add_subplot(gs[1]); ax_mid.axis("off")
_draw_mic_and_usbm(ax_mid, rd)
ax_stats = fig.add_subplot(gs[2]); ax_stats.axis("off")
_draw_channel_stats_waveform(ax_stats, rd)
_draw_waveform_subplot(fig, gs[3], rd)
def _render_histogram_layout(fig, rd: ReportData) -> None:
"""Histogram layout: header / mic-only / per-channel stats / bar plot.
No USBM compliance chart (it's a waveform-only concept). Stats table
uses Date + Time-of-peak instead of relative-time + accel + disp.
Left margin sized to fit the channel labels.
"""
gs = fig.add_gridspec(
nrows=4, ncols=1,
left=0.11, right=0.94, top=0.97, bottom=0.06,
height_ratios=[1.8, 0.9, 1.7, 5.6],
hspace=0.35,
)
ax_header = fig.add_subplot(gs[0]); ax_header.axis("off")
_draw_header_histogram(ax_header, rd)
ax_mic = fig.add_subplot(gs[1]); ax_mic.axis("off")
_draw_mic_only(ax_mic, rd)
ax_stats = fig.add_subplot(gs[2]); ax_stats.axis("off")
_draw_channel_stats_histogram(ax_stats, rd)
_draw_histogram_subplot(fig, gs[3], rd)
def _fmt_iso_to_bw(iso: Optional[str]) -> Optional[str]:
"""Convert a ISO-8601 timestamp like '2026-05-16T22:30:37' to BW's
display format '22:30:37 May 16, 2026'. Returns input unchanged if
it doesn't look like ISO."""
if not iso or "T" not in iso:
return iso
try:
import datetime as _dt
dt = _dt.datetime.fromisoformat(iso.replace("Z", "+00:00"))
return dt.strftime("%H:%M:%S %B %d, %Y").replace(" 0", " ")
except Exception:
return iso
def _kv(ax, x, y, label, value, *, label_w=0.18): def _kv(ax, x, y, label, value, *, label_w=0.18):
"""Render a 'Label Value' row at axes-coordinates (x, y).""" """Render a 'Label Value' row at axes-coordinates (x, y)."""
ax.text(x, y, label, fontsize=8, color="#555", ha="left", va="top", ax.text(x, y, label, fontsize=8, color="#555", ha="left", va="top",
@@ -329,11 +393,10 @@ def _fmt(v):
return str(v) return str(v)
def _draw_header(ax, rd: ReportData) -> None: def _draw_header_waveform(ax, rd: ReportData) -> None:
"""Two-column metadata header — matches BW printout layout.""" """Two-column metadata header — waveform variant."""
# Left column
rows_left = [ rows_left = [
("Date/Time", rd.event_datetime_str), ("Date/Time", _fmt_iso_to_bw(rd.event_datetime_str)),
("Trigger Source", rd.trigger_source), ("Trigger Source", rd.trigger_source),
("Range", rd.geo_range_str), ("Range", rd.geo_range_str),
("Sample Rate", rd.sample_rate_str), ("Sample Rate", rd.sample_rate_str),
@@ -343,18 +406,45 @@ def _draw_header(ax, rd: ReportData) -> None:
("User Name:", rd.operator), ("User Name:", rd.operator),
("Seis. Loc:", rd.sensor_location), ("Seis. Loc:", rd.sensor_location),
] ]
_draw_header_columns(ax, rows_left, rd)
def _draw_header_histogram(ax, rd: ReportData) -> None:
"""Two-column metadata header — histogram variant.
Histograms have Start / Finish / Intervals fields instead of
Trigger Source (there's no trigger event for a histogram capture).
"""
intervals_str = None
if rd.histogram_n_intervals is not None and rd.histogram_interval_size:
intervals_str = f"{rd.histogram_n_intervals} At {rd.histogram_interval_size}"
rows_left = [
("Start", _fmt_iso_to_bw(rd.histogram_start_str or rd.event_datetime_str)),
("Finish", _fmt_iso_to_bw(rd.histogram_stop_str)),
("Intervals", intervals_str),
("Range", rd.geo_range_str),
("Sample Rate", (f"{rd.sample_rate_sps} Sps" if rd.sample_rate_sps else None)),
("Notes", rd.notes),
("Project:", rd.project),
("Client:", rd.client),
("User Name:", rd.operator),
("Seis. Loc:", rd.sensor_location),
]
_draw_header_columns(ax, rows_left, rd)
def _draw_header_columns(ax, rows_left, rd: ReportData) -> None:
"""Shared 2-column header rendering used by both layouts."""
rows_right = [ rows_right = [
("Serial Number", f"{rd.serial or ''}" ("Serial Number", f"{rd.serial or ''}" + (f" {rd.firmware}" if rd.firmware else "")),
+ (f" {rd.firmware}" if rd.firmware else "")),
("Battery Level", f"{rd.battery_volts:.1f} Volts" if rd.battery_volts is not None else None), ("Battery Level", f"{rd.battery_volts:.1f} Volts" if rd.battery_volts is not None else None),
("Unit Calibration", (f"{rd.calibration_date}" ("Unit Calibration", (f"{rd.calibration_date}" + (f" by {rd.calibration_by}" if rd.calibration_by else ""))
+ (f" by {rd.calibration_by}" if rd.calibration_by else ""))
if rd.calibration_date else None), if rd.calibration_date else None),
("File Name", rd.file_name), ("File Name", rd.file_name),
("Post Event Notes", rd.post_event_notes), ("Post Event Notes", rd.post_event_notes),
] ]
y = 0.95 y = 0.95
dy = 0.10 dy = 0.095
for label, value in rows_left: for label, value in rows_left:
_kv(ax, 0.0, y, label, value, label_w=0.18) _kv(ax, 0.0, y, label, value, label_w=0.18)
y -= dy y -= dy
@@ -364,12 +454,43 @@ def _draw_header(ax, rd: ReportData) -> None:
y -= dy y -= dy
def _draw_mic_block(ax, rd: ReportData) -> None: def _draw_mic_only(ax, rd: ReportData) -> None:
"""Microphone block — PSPL, ZC Freq, Channel Test. USBM chart """Mic block (histogram variant — no USBM chart)."""
placeholder on the right (filled in a separate work item)."""
ax.text(0.0, 0.95, "Microphone Linear Weighting", fontsize=8, color="#555", ax.text(0.0, 0.95, "Microphone Linear Weighting", fontsize=8, color="#555",
transform=ax.transAxes, va="top") transform=ax.transAxes, va="top")
rows = [] rows = _mic_rows(rd)
y = 0.70
for label, value in rows:
_kv(ax, 0.0, y, label, value, label_w=0.18)
y -= 0.22
def _draw_mic_and_usbm(ax, rd: ReportData) -> None:
"""Mic block on the left + USBM compliance chart placeholder on right.
(Waveform variant — USBM is a velocity-vs-frequency compliance plot
that doesn't apply to histograms.)"""
ax.text(0.0, 0.95, "Microphone Linear Weighting", fontsize=8, color="#555",
transform=ax.transAxes, va="top")
rows = _mic_rows(rd)
y = 0.80
for label, value in rows:
_kv(ax, 0.0, y, label, value, label_w=0.18)
y -= 0.15
# USBM chart placeholder — upper-right. Real piecewise compliance
# curves are a separate work item; for now this just shows the title
# + a "see report" message so the layout is correct.
ax.text(0.72, 0.97, "USBM RI8507 And OSMRE",
fontsize=9, weight="bold", color="#333", ha="center", va="top",
transform=ax.transAxes)
ax.text(0.72, 0.50, "[compliance chart\ncoming soon]",
fontsize=8, color="#bbb", ha="center", va="center",
transform=ax.transAxes, style="italic")
def _mic_rows(rd: ReportData) -> list[tuple[str, Optional[str]]]:
"""Build the mic-section value rows (shared by both layouts)."""
rows: list[tuple[str, Optional[str]]] = []
if rd.mic_pspl_dbl is not None: if rd.mic_pspl_dbl is not None:
line = f"{rd.mic_pspl_dbl:.1f} dB(L)" line = f"{rd.mic_pspl_dbl:.1f} dB(L)"
if rd.mic_pspl_time_s is not None: if rd.mic_pspl_time_s is not None:
@@ -383,47 +504,78 @@ def _draw_mic_block(ax, rd: ReportData) -> None:
line += (f" (Freq = {rd.mic_channel_test_freq_hz:.1f} Hz, " line += (f" (Freq = {rd.mic_channel_test_freq_hz:.1f} Hz, "
f"Amp = {rd.mic_channel_test_amp_mv:.0f} mv)") f"Amp = {rd.mic_channel_test_amp_mv:.0f} mv)")
rows.append(("Channel Test", line)) rows.append(("Channel Test", line))
return rows
y = 0.70
for label, value in rows:
_kv(ax, 0.0, y, label, value, label_w=0.18)
y -= 0.22
# USBM chart placeholder — upper-right of this row
ax.text(0.75, 0.95, "USBM RI8507 / OSMRE",
fontsize=8, color="#555", ha="center", va="top",
transform=ax.transAxes)
ax.text(0.75, 0.45, "[compliance chart\nrenders here]",
fontsize=8, color="#bbb", ha="center", va="center",
transform=ax.transAxes, style="italic")
def _draw_channel_stats(ax, rd: ReportData) -> None: def _draw_channel_stats_waveform(ax, rd: ReportData) -> None:
"""Per-channel stats table + Peak Vector Sum row.""" """Waveform stats table — has Time (Rel. to Trig), Peak Accel, Peak Disp.
# Build a 2-D array of strings: header row + 3 channel rows Followed by Peak Vector Sum line."""
headers = ["", "Tran", "Vert", "Long", ""] rows_spec = [
rows = [ ("PPV", "ppv_ips", "in/s"),
["PPV", "ppv_ips", "in/s"], ("ZC Freq", "zc_freq_hz", "Hz"),
["ZC Freq", "zc_freq_hz", "Hz"], ("Time (Rel. to Trig)", "time_of_peak_s", "sec"),
["Time (Rel. to Trig)", "time_of_peak_s", "sec"], ("Peak Acceleration", "peak_accel_g", "g"),
["Peak Acceleration", "peak_accel_g", "g"], ("Peak Displacement", "peak_disp_in", "in"),
["Peak Displacement", "peak_disp_in", "in"], ("Sensor Check", "sensor_check", ""),
["Sensor Check", "sensor_check", ""],
] ]
_draw_stats_table(ax, rd, rows_spec)
if rd.peak_vector_sum_ips is not None:
line = f"Peak Vector Sum {rd.peak_vector_sum_ips:.3f} in/s"
if rd.peak_vector_sum_time_s is not None:
line += f" At {rd.peak_vector_sum_time_s:.3f} sec."
ax.text(0.0, -0.08, line, fontsize=9, weight="bold",
ha="left", va="top", transform=ax.transAxes)
ax.text(0.0, -0.18, "NA: Not Applicable", fontsize=7, color="#888",
ha="left", va="top", transform=ax.transAxes)
def _draw_channel_stats_histogram(ax, rd: ReportData) -> None:
"""Histogram stats table — PPV, ZC Freq, Date, Time of peak, Sensor Check.
Followed by Peak Vector Sum line."""
# Date / Time of peak are per-channel timestamps for the interval at peak.
# bw_report stores time_of_peak_s as relative seconds, but for histograms
# BW shows them as absolute date+time. We populate from rd.channel_stats
# if those absolute fields are present; otherwise fall back to relative.
rows_spec = [
("PPV", "ppv_ips", "in/s"),
("ZC Freq", "zc_freq_hz", "Hz"),
("Date", "peak_date", ""),
("Time", "peak_time", ""),
("Sensor Check", "sensor_check", ""),
]
_draw_stats_table(ax, rd, rows_spec)
if rd.peak_vector_sum_ips is not None:
when = rd.peak_vector_sum_when_str or ""
line = f"Peak Vector Sum {rd.peak_vector_sum_ips:.3f} in/s"
if when:
line += f" on {when}"
ax.text(0.0, -0.08, line, fontsize=9, weight="bold",
ha="left", va="top", transform=ax.transAxes)
ax.text(0.0, -0.18, "NA: Not Applicable", fontsize=7, color="#888",
ha="left", va="top", transform=ax.transAxes)
def _draw_stats_table(ax, rd: ReportData, rows_spec: list[tuple[str, str, str]]) -> None:
"""Render a per-channel stats table (Tran/Vert/Long).
rows_spec: list of (label, field_name_in_channel_stats, unit_string)
"""
headers = ["", "Tran", "Vert", "Long", ""]
ch_lookup = {c["name"]: c for c in rd.channel_stats} ch_lookup = {c["name"]: c for c in rd.channel_stats}
def _cell(field, ch_name): def _cell(field, ch_name):
val = ch_lookup.get(ch_name, {}).get(field) val = ch_lookup.get(ch_name, {}).get(field)
if val is None: if val is None:
return "" return ""
if field == "sensor_check":
return str(val)
if isinstance(val, float): if isinstance(val, float):
# ZC Freq is integer-formatted in BW; everything else with 3 decimals
if field == "zc_freq_hz":
return f"{val:.0f}"
return f"{val:.3f}" return f"{val:.3f}"
return str(val) return str(val)
table_data = [headers] table_data = [headers]
for label, field_name, unit in rows: for label, field_name, unit in rows_spec:
table_data.append([ table_data.append([
label, label,
_cell(field_name, "Tran"), _cell(field_name, "Tran"),
@@ -431,27 +583,16 @@ def _draw_channel_stats(ax, rd: ReportData) -> None:
_cell(field_name, "Long"), _cell(field_name, "Long"),
unit, unit,
]) ])
tbl = ax.table( tbl = ax.table(
cellText=table_data, loc="upper left", cellText=table_data, loc="upper left",
colWidths=[0.30, 0.13, 0.13, 0.13, 0.10], colWidths=[0.28, 0.14, 0.14, 0.14, 0.10],
cellLoc="left", edges="open", cellLoc="left", edges="open",
) )
tbl.auto_set_font_size(False) tbl.auto_set_font_size(False)
tbl.set_fontsize(8) tbl.set_fontsize(8)
tbl.scale(1, 1.4) tbl.scale(1, 1.4)
# Header row styling
for j in range(5): for j in range(5):
cell = tbl[(0, j)] tbl[(0, j)].set_text_props(weight="bold", color="#555")
cell.set_text_props(weight="bold", color="#555")
# Peak Vector Sum
if rd.peak_vector_sum_ips is not None:
line = f"Peak Vector Sum {rd.peak_vector_sum_ips:.3f} in/s"
if rd.peak_vector_sum_time_s is not None:
line += f" At {rd.peak_vector_sum_time_s:.3f} sec."
ax.text(0.0, -0.05, line, fontsize=9, weight="bold",
ha="left", va="top", transform=ax.transAxes)
def _channel_axis_color(ch: str) -> str: def _channel_axis_color(ch: str) -> str:
@@ -460,59 +601,142 @@ def _channel_axis_color(ch: str) -> str:
def _draw_waveform_subplot(fig, gridspec_cell, rd: ReportData) -> None: def _draw_waveform_subplot(fig, gridspec_cell, rd: ReportData) -> None:
"""4-channel stacked waveform plot — Instantel printout order """4-channel stacked waveform plot — Instantel printout order
(MicL on top, Tran on bottom), shared x-axis.""" (MicL on top, Tran on bottom), shared x-axis in SECONDS, trigger
triangle markers at t=0, '0.0' baseline label on right of each."""
inner = gridspec_cell.subgridspec(4, 1, hspace=0.0) inner = gridspec_cell.subgridspec(4, 1, hspace=0.0)
order = ["MicL", "Long", "Vert", "Tran"] order = ["MicL", "Long", "Vert", "Tran"]
sr = rd.sample_rate_sps or 1024 sr = rd.sample_rate_sps or 1024
dt_ms = rd.dt_ms or (1000.0 / sr) # Convert ms-based time axis to seconds for the x-axis
t0_ms = rd.t0_ms if rd.t0_ms is not None else 0.0 dt_s = (rd.dt_ms or (1000.0 / sr)) / 1000.0
t0_s = (rd.t0_ms if rd.t0_ms is not None else 0.0) / 1000.0
last_idx = len(order) - 1 last_idx = len(order) - 1
for i, ch in enumerate(order): for i, ch in enumerate(order):
ax = fig.add_subplot(inner[i]) ax = fig.add_subplot(inner[i])
values = rd.channels.get(ch) or [] values = rd.channels.get(ch) or []
times = [t0_ms + j * dt_ms for j in range(len(values))] times = [t0_s + j * dt_s for j in range(len(values))]
if values: if values:
color = _channel_axis_color(ch) color = _channel_axis_color(ch)
ax.plot(times, values, color=color, linewidth=0.6) ax.plot(times, values, color=color, linewidth=0.5)
# Symmetric y-axis for geo; zero-anchored for mic # Symmetric y-axis for geo; zero-anchored for mic.
if ch != "MicL": if ch != "MicL":
amax = max((abs(v) for v in values), default=0.001) amax = max((abs(v) for v in values), default=0.001)
ax.set_ylim(-amax * 1.1, amax * 1.1) ax.set_ylim(-amax * 1.10, amax * 1.10)
# Channel label on left else:
amax = max((abs(v) for v in values), default=0.001)
ax.set_ylim(-amax * 1.10, amax * 1.10)
# Channel label on the LEFT (matches BW)
ax.set_ylabel(ch, fontsize=8, rotation=0, ha="right", va="center", ax.set_ylabel(ch, fontsize=8, rotation=0, ha="right", va="center",
color=_channel_axis_color(ch), weight="bold", labelpad=14) color=_channel_axis_color(ch), weight="bold", labelpad=14)
ax.grid(True, linestyle=":", linewidth=0.4, alpha=0.5) # "0.0" on the RIGHT (BW convention)
# Dashed trigger line at t=0 ax.text(1.005, 0.5, "0.0", transform=ax.transAxes,
ax.axvline(0.0, color="#cc0000", linestyle="--", linewidth=0.8, alpha=0.7) fontsize=7, color="#555", va="center", ha="left")
# Zero baseline
ax.axhline(0.0, color="#888", linestyle="-", linewidth=0.4, alpha=0.5) ax.grid(True, linestyle="--", linewidth=0.3, color="#bbb", alpha=0.6)
# Vertical dashed trigger line at t=0
ax.axvline(0.0, color="#cc0000", linestyle="--", linewidth=0.6, alpha=0.7)
# Zero baseline horizontal
ax.axhline(0.0, color=_channel_axis_color(ch), linestyle="-",
linewidth=0.4, alpha=0.5)
if i != last_idx: if i != last_idx:
ax.set_xticklabels([]) ax.set_xticklabels([])
ax.tick_params(axis="x", length=0)
else: else:
ax.set_xlabel("Time (ms)", fontsize=8) ax.tick_params(axis="x", labelsize=7)
ax.tick_params(axis="both", labelsize=7) ax.tick_params(axis="y", labelsize=6)
# Trigger triangle marker ▼ above the top channel at t=0
top_ax = fig.axes[-4] # MicL is the first added in this gridspec
top_ax.plot([0], [top_ax.get_ylim()[1]], marker="v", color="black",
markersize=8, clip_on=False, zorder=10)
# Compute scale-per-division for the footer (10 divs across the chart)
# and find peak geo amplitude for the geo amp/div setting.
total_s = times[-1] - times[0] if values else 0
div_s = total_s / 10 if total_s > 0 else 0
geo_amp_div = ""
for ch in ("Tran", "Vert", "Long"):
v = rd.channels.get(ch) or []
if v:
amax = max(abs(x) for x in v)
geo_amp_div = f"{(amax * 1.1 * 2) / 10:.3f}"
break
fig.text(
0.07, 0.045,
f"Time(Seconds) {div_s:.2f} sec/div Amplitude Geo: {geo_amp_div} in/s/div Mic: 0.001 psi(L)/div",
fontsize=7, color="#444", ha="left",
)
fig.text(
0.07, 0.030,
"Trigger = ▶━━━━━ ━━━━━━◀",
fontsize=7, color="#444", ha="left",
)
def _draw_histogram_subplot(fig, gridspec_cell, rd: ReportData) -> None: def _draw_histogram_subplot(fig, gridspec_cell, rd: ReportData) -> None:
"""4-channel stacked histogram bar chart — per-interval peaks.""" """4-channel stacked histogram bar chart — per-interval peaks.
X-axis labeled with the actual times from rd.histogram_interval_times
when available; otherwise interval index.
"""
inner = gridspec_cell.subgridspec(4, 1, hspace=0.0) inner = gridspec_cell.subgridspec(4, 1, hspace=0.0)
order = ["MicL", "Long", "Vert", "Tran"] order = ["MicL", "Long", "Vert", "Tran"]
last_idx = len(order) - 1 last_idx = len(order) - 1
# X-axis: use absolute time labels if we have them, else interval index
have_times = bool(rd.histogram_interval_times)
for i, ch in enumerate(order): for i, ch in enumerate(order):
ax = fig.add_subplot(inner[i]) ax = fig.add_subplot(inner[i])
values = rd.channels.get(ch) or [] values = rd.channels.get(ch) or []
if values: if values:
xs = np.arange(1, len(values) + 1) # Histograms record per-interval PEAK magnitudes — always
# non-negative. Codec output occasionally includes signed
# values when the underlying .h5 was scaled like a waveform;
# take the absolute value so the bars rise from zero.
abs_vals = [abs(v) if v is not None else 0 for v in values]
xs = np.arange(len(abs_vals))
color = _channel_axis_color(ch) color = _channel_axis_color(ch)
ax.bar(xs, values, color=color, width=1.0, linewidth=0) ax.bar(xs, abs_vals, color=color, width=0.85, linewidth=0)
amax = max(abs_vals, default=0)
if amax > 0:
ax.set_ylim(0, amax * 1.10)
ax.set_ylabel(ch, fontsize=8, rotation=0, ha="right", va="center", ax.set_ylabel(ch, fontsize=8, rotation=0, ha="right", va="center",
color=_channel_axis_color(ch), weight="bold", labelpad=14) color=_channel_axis_color(ch), weight="bold", labelpad=14)
ax.grid(True, axis="y", linestyle=":", linewidth=0.4, alpha=0.5) ax.text(1.005, 0.02, "0.0", transform=ax.transAxes,
fontsize=7, color="#555", va="bottom", ha="left")
ax.grid(True, axis="y", linestyle="--", linewidth=0.3, color="#bbb", alpha=0.6)
if i != last_idx: if i != last_idx:
ax.set_xticklabels([]) ax.set_xticklabels([])
ax.tick_params(axis="x", length=0)
else:
if have_times and len(rd.histogram_interval_times) == len(values):
# Show 2-4 labels evenly spaced
n = len(values)
step = max(1, n // 4)
tick_positions = list(range(0, n, step))
ax.set_xticks(tick_positions)
ax.set_xticklabels([rd.histogram_interval_times[t] for t in tick_positions],
rotation=0, fontsize=6)
else: else:
ax.set_xlabel("Interval", fontsize=8) ax.set_xlabel("Interval", fontsize=8)
ax.tick_params(axis="both", labelsize=7) ax.tick_params(axis="x", labelsize=7)
ax.tick_params(axis="y", labelsize=6)
# Footer scale info — histograms use minute/div
interval_str = rd.histogram_interval_size or ""
geo_amp_div = ""
for ch in ("Tran", "Vert", "Long"):
v = rd.channels.get(ch) or []
if v:
amax = max(abs(x) for x in v)
geo_amp_div = f"{amax / 5:.3f}"
break
fig.text(
0.07, 0.045,
f"Time {interval_str} /div Amplitude Geo: {geo_amp_div} in/s/div Mic: 0.001 psi(L)/div",
fontsize=7, color="#444", ha="left",
)