fix: 批量匹配跳过画像待补录教师 + render-html 按行重建 + 金标准 fixtures 业务化（P0+P1）

- run_match 新增 skip_incomplete：批量缺省跳过画像不完整教师并记录 skipped，指定单教师仍 PROFILE_INCOMPLETE；汇总页出"画像待补录"行
- render-html 补 --report-id 行上下文（inputMapping $row.$pk），CLI 容错解析回退最近 10 份
- report_service 日志改容错 _log()，修复未 setup 时单跑测试崩溃的顺序依赖
- fixtures 替换为教师画像/赛道/期望结论金标准样例，新增 sample_tracks.json
- 新增 4 个批量跳过用例（314 项，除 3 个已知 jsonschema 环境失败外全绿）
- tests/README 增补本机无共享 runtime 的测试方式；TUTORIAL/ACTIONS.md 同步表述

scripts/service/task_service.py

@@ -485,7 +485,9 @@ def cmd_match(*, teacher: str = "", year: Optional[int] = None) -> int:
                 return 1
 
             season = str(year or tracks[0].get("year") or "")
-            result = run_match(teachers, tracks, season)
+            # 指定教师 → 严格模式，画像不完整直接 PROFILE_INCOMPLETE；
+            # 缺省全量 → 跳过画像待补录教师并记录，不中断批次（E1）。
+            result = run_match(teachers, tracks, season, skip_incomplete=not teacher)
             payload = {k: v for k, v in result.items() if k != "reports"}
             payload["reports_brief"] = [
                 {
@@ -499,9 +501,14 @@ def cmd_match(*, teacher: str = "", year: Optional[int] = None) -> int:
                 for r in result["reports"]
             ]
             _print_json(payload)
+            skipped_count = len(result.get("skipped") or [])
+            message = f"匹配完成 {result['count']} 名教师，建议书已生成"
+            if skipped_count:
+                message += f"；{skipped_count} 名教师画像待补录已跳过"
+                log.info("match_skipped count=%s stage=match", skipped_count)
             finish(
                 status="success",
-                message=f"匹配完成 {result['count']} 名教师，建议书已生成",
+                message=message,
                 skill=SKILL_SLUG,
                 stage="match",
                 batch_no=result["batch_no"],
@@ -568,7 +575,7 @@ def cmd_match_batch_input() -> int:
                 return 1
 
             season = str(tracks[0].get("year") or "")
-            result = run_match(teachers, tracks, season)
+            result = run_match(teachers, tracks, season, skip_incomplete=True)
             for index, report in enumerate(result["reports"], start=1):
                 top = (report.get("top3") or [{}])[0]
                 emit(
@@ -577,16 +584,27 @@ def cmd_match_batch_input() -> int:
                     skill=SKILL_SLUG,
                     stage="batch",
                 )
+            for entry in result.get("skipped") or []:
+                emit(
+                    f"{entry.get('teacher_name')}：画像待补录，本期已跳过（{entry.get('reason')}）",
+                    type="warn",
+                    skill=SKILL_SLUG,
+                    stage="batch",
+                )
             _print_json(
                 {
                     "ok": True,
                     "batch_no": result["batch_no"],
                     "count": result["count"],
+                    "skipped": result.get("skipped") or [],
                     "tier_counts": result["tier_counts"],
                     "brief_file": result["brief_file"],
                 }
             )
-            finish(status="success", message=f"批量匹配完成 {result['count']} 名教师", skill=SKILL_SLUG, stage="batch", batch_no=result["batch_no"])
+            message = f"批量匹配完成 {result['count']} 名教师"
+            if result.get("skipped"):
+                message += f"，{len(result['skipped'])} 名画像待补录已跳过"
+            finish(status="success", message=message, skill=SKILL_SLUG, stage="batch", batch_no=result["batch_no"])
             return 0
         except JobStopped:
             raise