看板升级: GT v0.5.0(20期叙事结构全覆盖) + schema加字段方案 + git清理

- ground-truth v0.5.0: 补完10期narrative_structure标注(MiMo跑批+制片人审定)
- summarize.py: 修复无标注期次格式化崩溃
- 003_add_ai_labels.sql: episodes表加7列(6打标+1置信度)迁移文件
- episode.py: Model同步加7个Optional字段
- CLAUDE.md: 项目主控文件入库
- doco/deliverables: 20期终版文稿md入库
- doco/programs: 中间产物从git移除(本地保留), .gitignore统一管理
- note/寄存条: 两个子项目寄存条入库
- .gitignore: 补充doco中间产物/Excel锁文件/临时文件规则

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

ai-labeling/scripts/summarize.py

@@ -94,11 +94,14 @@ def run(model, field="narrative"):
                 hit = pred_val == gt_val if pred_val is not None else False
                 rows.append({"ep": ep, "title": title, "gt": gt_val, "pred": pred_val or "解析失败", "hit": hit, "conf": conf})
         elif field == "narrative":
-            gt_val = gt.get("narrative_structure", "?")
+            gt_val = gt.get("narrative_structure")
             pred_val = result.get("narrative_structure") if result else None
             conf = result.get("confidence", "?") if result else "?"
-            hit = pred_val == gt_val if pred_val is not None else False
-            rows.append({"ep": ep, "title": title, "gt": gt_val, "pred": pred_val or "解析失败", "hit": hit, "conf": conf})
+            if gt_val is None:
+                rows.append({"ep": ep, "title": title, "gt": "(无标注)", "pred": pred_val or "解析失败", "hit": None, "conf": conf})
+            else:
+                hit = pred_val == gt_val if pred_val is not None else False
+                rows.append({"ep": ep, "title": title, "gt": gt_val, "pred": pred_val or "解析失败", "hit": hit, "conf": conf})
         elif field == "classification":
             conf = result.get("confidence", "?") if result else "?"
             sub = {}
@@ -134,22 +137,28 @@ def run(model, field="narrative"):
     elif field == "narrative":
         # 打印每行
         for r in rows:
-            mark = "✓" if r["hit"] else "✗"
+            if r["hit"] is None:
+                mark = "-"
+            else:
+                mark = "✓" if r["hit"] else "✗"
             conf_str = f'置信度:{r["conf"]}' if r["conf"] != "?" else ""
-            print(f'  ep{r["ep"]:02d} {r["title"]:<10} | 标准:{r["gt"]:<8} | {model}:{r["pred"]:<8} | {mark} {conf_str}')
+            print(f'  ep{r["ep"]:03d} {r["title"]:<12} | 标准:{r["gt"]:<6} | {model}:{r["pred"]:<6} | {mark} {conf_str}')
 
-        # 汇总
-        total = len(rows)
-        hits = sum(1 for r in rows if r["hit"])
-        hi_conf = [r for r in rows if r["conf"] == "高"]
-        mid_low = [r for r in rows if r["conf"] in ("中", "低")]
+        # 汇总（跳过无标注）
+        scored = [r for r in rows if r["hit"] is not None]
+        hits = sum(1 for r in scored if r["hit"])
+        total = len(scored)
+        unlabeled = sum(1 for r in rows if r["hit"] is None)
+        hi_conf = [r for r in scored if r["conf"] == "高"]
+        mid_low = [r for r in scored if r["conf"] in ("中", "低")]
         hi_hit = sum(1 for r in hi_conf if r["hit"])
         ml_hit = sum(1 for r in mid_low if r["hit"])
 
         print(f"\n  ===== {model} 命中情况 =====")
-        print(f"  narrative_structure 命中: {hits}/{total} = {hits*100//total}%")
+        print(f"  narrative_structure 命中: {hits}/{total} = {hits*100//total if total else 0}%")
         print(f"  自评\"高\"置信的命中率: {hi_hit}/{len(hi_conf)}")
         print(f"  自评\"中/低\"置信的命中率: {ml_hit}/{len(mid_low)}")
+        print(f"  无标注(跳过): {unlabeled} 期")
         print(f"  解析失败: {parse_fail} 期")
     elif field == "classification":
         field_names = ["program_format", "equipment_domain", "scene_tags", "tech_tags"]