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/match_service.py

@@ -247,8 +247,20 @@ def _write_report(result: dict[str, Any], batch_no: str) -> str:
     return write_report_for_kernel(result=result, batch_no=batch_no)
 
 
-def run_match(teachers_raw: list[dict[str, Any]], tracks: list[dict[str, Any]], season: str, *, batch_no: str = "") -> dict[str, Any]:
-    """匹配内核：逐教师匹配 → 写库 → 生成建议书（多人时另出汇总页）。"""
+def run_match(
+    teachers_raw: list[dict[str, Any]],
+    tracks: list[dict[str, Any]],
+    season: str,
+    *,
+    batch_no: str = "",
+    skip_incomplete: bool = True,
+) -> dict[str, Any]:
+    """匹配内核：逐教师匹配 → 写库 → 生成建议书（多人时另出汇总页）。
+
+    skip_incomplete=True（批量缺省）：画像不完整（E1）的教师被跳过并记入
+    ``skipped``，不中断批次；skip_incomplete=False（指定单教师）：直接抛
+    ValueError，由 CLI 映射 PROFILE_INCOMPLETE。
+    """
     from service.report_service import build_batch_brief
 
     log = _log()
@@ -263,11 +275,21 @@ def run_match(teachers_raw: list[dict[str, Any]], tracks: list[dict[str, Any]],
         log.info("match_kernel_start batch_no=%s teachers=%s tracks=%s season=%s stage=kernel", batch_no, len(teachers_raw), len(tracks), season)
 
     results = []
+    skipped: list[dict[str, str]] = []
     conn = get_conn()
     try:
         cur = conn.cursor()
         for teacher_raw in teachers_raw:
-            result = match_teacher(teacher_raw, tracks, season)
+            try:
+                result = match_teacher(teacher_raw, tracks, season)
+            except ValueError as exc:
+                if not skip_incomplete:
+                    raise
+                raw_name = str((teacher_raw or {}).get("teacherName") or (teacher_raw or {}).get("teacher_name") or "").strip() or "未命名教师"
+                skipped.append({"teacher_name": raw_name, "reason": str(exc)})
+                if log:
+                    log.warning("match_teacher_skipped teacher=%s reason=%s stage=kernel", raw_name, exc)
+                continue
             cur.execute(
                 """
                 INSERT INTO match_reports
@@ -296,7 +318,7 @@ def run_match(teachers_raw: list[dict[str, Any]], tracks: list[dict[str, Any]],
     finally:
         conn.close()
 
-    brief_file = build_batch_brief(batch_no=batch_no, results=results, season=season)
+    brief_file = build_batch_brief(batch_no=batch_no, results=results, season=season, skipped=skipped)
     tier_counts: dict[str, int] = {}
     for result in results:
         for tier, entries in result["tiers"].items():
@@ -307,13 +329,19 @@ def run_match(teachers_raw: list[dict[str, Any]], tracks: list[dict[str, Any]],
         "batch_no": batch_no,
         "season": season,
         "count": len(results),
+        "skipped": skipped,
         "tier_counts": tier_counts,
         "brief_file": brief_file,
         "disclaimer": "推荐仅供参考，申报决策请结合个人规划与学院统筹。",
         "reports": results,
     }
     if log:
-        log.info("match_kernel_done batch_no=%s count=%s stage=kernel", batch_no, len(results))
+        log.info(
+            "match_kernel_done batch_no=%s count=%s skipped=%s stage=kernel",
+            batch_no,
+            len(results),
+            len(skipped),
+        )
     return payload