feat: add thor report generation, pdf generation.

sfm/waveform_store.py

@@ -639,6 +639,27 @@ class WaveformStore:
         # Time of Peak, sensor self-check, calibration, firmware).
         if report_dict:
             sidecar["extensions"]["idf_report"] = report_dict
+
+        # Project the IDF report into the BW report sidecar shape so the
+        # existing Event Report PDF pipeline (sfm/report_pdf.py) can
+        # render Thor events without needing a separate code path.  Thor
+        # data is 95% the same metric set as BW — the adapter handles
+        # the field-name mapping.
+        if report_dict or binary_md is not None:
+            try:
+                from micromate.idf_to_bw_report import build_bw_report_from_idf
+                sidecar["bw_report"] = build_bw_report_from_idf(
+                    report_dict or {},
+                    binary_md=binary_md,
+                    intervals=idf_intervals,
+                    is_histogram=is_histogram,
+                )
+            except Exception as exc:
+                log.warning(
+                    "save_imported_idf: idf→bw_report adapter failed for %s: %s — "
+                    "report PDF will fall back to DB-only fields",
+                    filename, exc,
+                )
         # For histograms, also stash the binary-decoded per-interval
         # records so the UI / report layer doesn't need to re-walk the
         # IDFH file at render time.