fix: font_name reset per page, phase logs, per-book error surfacing

smoke_signal_tab.py

@@ -1931,6 +1931,7 @@ def run_ocr(page_selection: str = "", page_exclusion: str = "", replace_book_que
 
     for _, row in eligible.iterrows():
         book_id = row["book_id"]
+        log.append(log_line(f"▶ {book_id}: starting OCR"))
         profile_path = PROFILES_DIR / f"{book_id}_page_profile.json"
         if not profile_path.exists():
             log.append(log_line(f"✗ {book_id}: no profile"))
@@ -2201,10 +2202,12 @@ def run_ocr(page_selection: str = "", page_exclusion: str = "", replace_book_que
                         except Exception:
                             pass
 
+        log.append(log_line(f"  → {book_id}: batch OCR complete — building review queue"))
         # Second pass: build page-level OCR output and review queue.
         for page_data in profile.get("pages", []):
             page_num = page_data["page_number"]
             route = page_data["route"]
+            font_name = page_data.get("font_name")  # reset per page — prevents stale carry-over
             if selected_pages_for_book is not None and int(page_num) not in selected_pages_for_book:
                 continue
 
@@ -2303,7 +2306,12 @@ def run_ocr(page_selection: str = "", page_exclusion: str = "", replace_book_que
                     "reason_code": "",
                 })
 
-        if doc is not None:
+        except Exception as _book_err:
+            import traceback as _tb
+            log.append(log_line(f"  ✗ {book_id}: UNHANDLED ERROR — {_book_err}"))
+            log.append(log_line(_tb.format_exc()))
+        finally:
+         if doc is not None:
             try:
                 doc.close()
             except Exception:
@@ -2327,7 +2335,7 @@ def run_ocr(page_selection: str = "", page_exclusion: str = "", replace_book_que
 
         df.loc[df["book_id"] == book_id, "status"] = "ocred"
         total_review = len(review_pages) + len(quarantine_pages)
-        log.append(log_line(f"✓ {book_id}: {len(ocr_pages)} selected pp — review queue: {total_review}"))
+        log.append(log_line(f"✓ {book_id}: {len(ocr_pages)} selected pp — review queue: {total_review} · queue write complete"))
 
     qdf_new = pd.DataFrame(queue_rows)
     if QUEUE_CSV.exists():