feat: add thor report generation, pdf generation.

This commit is contained in:
2026-05-29 19:03:06 +00:00
parent 9b71ead44b
commit 9fd52ddabb
8 changed files with 601 additions and 2 deletions
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"""End-to-end Thor report PDF rendering.
Ingests an IDFW + .txt via save_imported_idf, runs gather_report_data
(faking a minimal DB row), and renders the PDF to disk.
"""
from __future__ import annotations
import sys
import tempfile
import json
from pathlib import Path
REPO = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(REPO))
from sfm.waveform_store import WaveformStore
from sfm import report_pdf
class FakeDb:
"""Stand-in for SeismoDb.get_event(); the renderer only needs a few cols."""
def __init__(self, event):
self.event = event
def get_event(self, _id):
return self.event
def main():
base = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM11719"
idfw = base / "UM11719_20231219162723.IDFW"
txt = base / "TXT" / f"{idfw.name}.txt"
with tempfile.TemporaryDirectory() as td:
store = WaveformStore(Path(td))
ev, rec = store.save_imported_idf(
idfw.read_bytes(),
idfw,
idf_report_text=txt.read_text(errors="replace"),
)
print(f"save_imported_idf: h5={rec['hdf5_filename']}, sidecar={rec['sidecar_filename']}")
# Verify sidecar has bw_report block
sc_path = Path(td) / "UM11719" / f"{idfw.name}.sfm.json"
sc = json.loads(sc_path.read_text())
bw = sc.get("bw_report", {})
print(f" bw_report.available: {bw.get('available')}")
print(f" bw_report.peaks.tran.ppv_ips: {bw.get('peaks', {}).get('tran', {}).get('ppv_ips')}")
print(f" bw_report.mic.pspl_dbl: {bw.get('mic', {}).get('pspl_dbl')}")
print(f" bw_report.histogram.n_intervals: {bw.get('histogram', {}).get('n_intervals')}")
# Build a DB-row-shaped dict from the Event for gather_report_data
import datetime
ts = ev.timestamp
ts_iso = None
if ts is not None:
try:
ts_iso = datetime.datetime(ts.year, ts.month, ts.day, ts.hour, ts.minute, ts.second).isoformat()
except Exception:
pass
fake_row = {
"serial": "UM11719",
"blastware_filename": rec["filename"],
"record_type": "Waveform",
"timestamp": ts_iso,
"sample_rate": ev.sample_rate,
"project": ev.project_info.project if ev.project_info else None,
"client": ev.project_info.client if ev.project_info else None,
"operator": ev.project_info.operator if ev.project_info else None,
"sensor_location": ev.project_info.sensor_location if ev.project_info else None,
"created_at": None,
}
rd = report_pdf.gather_report_data(FakeDb(fake_row), store, event_id="test-1")
print()
print(f"=== ReportData ===")
print(f" event_id: {rd.event_id}")
print(f" serial: {rd.serial}")
print(f" record_type: {rd.record_type}")
print(f" event_datetime: {rd.event_datetime_str}")
print(f" trigger: {rd.trigger_source}")
print(f" geo_range: {rd.geo_range_str}")
print(f" sample_rate: {rd.sample_rate_str}")
print(f" firmware: {rd.firmware}")
print(f" calibration: {rd.calibration_date} by {rd.calibration_by}")
print(f" battery: {rd.battery_volts}")
print(f" PVS: {rd.peak_vector_sum_ips} in/s at {rd.peak_vector_sum_time_s} sec")
print(f" mic_pspl_dbl: {rd.mic_pspl_dbl}")
print(f" mic_zc_freq_hz: {rd.mic_zc_freq_hz}")
print(f" channel_stats: {len(rd.channel_stats)} rows")
for cs in rd.channel_stats:
print(f" {cs['name']}: PPV={cs['ppv_ips']} ZC={cs['zc_freq_hz']} ToP={cs['time_of_peak_s']} Acc={cs['peak_accel_g']} Disp={cs['peak_disp_in']} Test={cs['sensor_check']}")
# Render the PDF
out_path = REPO / "analysis_idf" / "thor_report.pdf"
pdf_bytes = report_pdf.render_event_report_pdf(rd)
out_path.write_bytes(pdf_bytes)
print()
print(f" PDF written: {out_path} ({len(pdf_bytes)} bytes)")
if __name__ == "__main__":
main()