feat(export): scenario signature on the main sheet, one column per label

Eleven S: columns on the attacks sheet (1 = confirmed v1 label, p = proposed by
the site's keyword engine) plus scenarios_in_order; the separate case_scenarios
sheet stays. Old dated export removed.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01GZZENdTLzNGsbNy4DyF1yt

merge-output/export_xlsx.py

@@ -115,7 +115,9 @@ def main():
                  "description", "notes", "money_wanted", "coin_type", "reports", "url", "url_2", "url_3", "url_4", "url_5"]
     cov_cols = ["sources_with_text", "article_chars", "untrimmed_blocks", "summary_status", "summary_chars"]
     new_cols = ["venue_of_control", "held_duration", "outcome", "arrests", "amount_demanded_usd", "amount_taken_usd"]
-    cols = base_cols + FLAGS + cov_cols + new_cols + ["summary"]
+    SCEN = VOCAB["scenario (11 labels)"]
+    scen_cols = ["S: " + n for n in SCEN] + ["scenarios_in_order"]
+    cols = base_cols + scen_cols + FLAGS + cov_cols + new_cols + ["summary"]
     LABEL = {"kidnappings": "detention"}          # the DB column keeps its old name; the export shows the glossary name
     ws.append([LABEL.get(c, c) for c in cols])
     for c in ws[1]:
@@ -133,7 +135,13 @@ def main():
             sstat = "bulk, short"
         else:
             sstat = "bulk, unverified"
-        row = [r.get(k) for k in base_cols] + [r.get(k) for k in FLAGS] + \
+        tags = build_signature(r, r.get("scenario")) if build_signature else [
+            {"scenario": r.get("scenario"), "status": "confirmed"}]
+        tagmap = {t["scenario"]: t["status"] for t in tags}
+        scen_vals = [(1 if tagmap.get(n) == "confirmed" else ("p" if tagmap.get(n) == "proposed" else None)) for n in SCEN]
+        seq_text = " > ".join([t["scenario"] for t in tags if t["status"] == "confirmed"]
+                              + [t["scenario"] + " (p)" for t in tags if t["status"] == "proposed"])
+        row = [r.get(k) for k in base_cols] + scen_vals + [seq_text] + [r.get(k) for k in FLAGS] + \
               [n_src, chars, untr, sstat, len(r.get("summary") or "")]
         # rule-derived proposals for the new columns
         venue = held = outcome = None
@@ -155,6 +163,15 @@ def main():
         for j, k in enumerate(cols, 1):
             cell = ws.cell(row=rown, column=j)
             v = cell.value
+            if k.startswith("S: "):
+                if v == "p":
+                    cell.fill = BLUE
+                elif v is None and r.get("scenario") not in SCEN:
+                    cell.fill = RED
+                continue
+            if k == "scenarios_in_order":
+                cell.fill = ORANGE if "(p)" in (v or "") or len(tags) == 1 else None
+                continue
             if k in FLAGS and v is None:
                 cell.fill = RED
             elif k == "kidnappings" and cid in det and str(det[cid].get("status", "")).startswith(("ACCEPTED", "proposed")) \
@@ -177,8 +194,8 @@ def main():
                 cell.fill = BLUE if v not in (None, "") else ORANGE
     ws.freeze_panes = "B2"
     for j, k in enumerate(cols, 1):
-        ws.column_dimensions[get_column_letter(j)].width = 60 if k in ("summary", "description") else (
-            28 if k in ("victim", "location", "money_wanted", "url") else 14)
+        ws.column_dimensions[get_column_letter(j)].width = 60 if k in ("summary", "description", "scenarios_in_order") else (
+            28 if k in ("victim", "location", "money_wanted", "url") else (8 if k.startswith("S: ") else 14))
     ws.auto_filter.ref = ws.dimensions
 
     # ---------------- case_scenarios ----------------

merge-output/exports/.~lock.gart-kr-database-2026-09-15.xlsx#

@@ -1 +1 @@
-,disi,pop-os,15.09.2026 15:33,file:///home/disi/.config/libreoffice/4;
+,disi,pop-os,17.09.2026 17:23,file:///home/disi/.config/libreoffice/4;