框架: 窗大纲脚本补敏感降级链(批7实测正文触发拦截直接崩进程,现降级+全败跳窗)

.claude/skills/parse-book/scripts/parse_outline.py

@@ -14,7 +14,26 @@ import click
 import psycopg
 
 sys.path.insert(0, str(pathlib.Path(__file__).resolve().parents[2] / "llm" / "scripts"))
-from llm import chat, extract_json  # noqa: E402
+from llm import chat, extract_json, SensitiveError  # noqa: E402
+
+# 敏感降级链（与 parse_llm 同款；窗大纲输入含正文，批7实测撞 new_sensitive 直接崩进程）
+FALLBACK_MODELS = ["MiniMax-M2.7", "deepseek-v4-flash"]
+
+
+def chat_degrade(prompt, model):
+    """chat 带敏感降级：主模型被拦依次换备选；全链被拦原样抛 SensitiveError 交上层跳窗。"""
+    chain = [model] + FALLBACK_MODELS
+    for mi, m in enumerate(chain):
+        try:
+            content, usage = chat(prompt, model=m)
+            if m != model:
+                print(f"[敏感降级成功] 本条由 {m} 产出", file=sys.stderr)
+            return content, usage
+        except SensitiveError:
+            if mi < len(chain) - 1:
+                print(f"[敏感] {m} 拒绝，降级到 {chain[mi + 1]}", file=sys.stderr)
+                continue
+            raise
 
 DSN = ("postgresql://root:f6710e2d0294eb1c10e26a805a64bc54@100.64.0.8:5433/muse-example"
        "?keepalives=1&keepalives_idle=15&keepalives_interval=5&keepalives_count=3")
@@ -121,8 +140,13 @@ def _do_window(conn, work_id, title, win_no, chs, model, done):
     cap = max(200, int(wc * 0.004))
     outlines = "\n".join(f"第{no}章《{ct}》：{o}" for no, ct, _, o in chs)
     text = "\n\n".join(f"【第{no}章 | {ct}】\n{t}" for no, ct, t, _ in chs)
-    content, usage = chat(WINDOW_PROMPT.format(
-        title=title, a=chs[0][0], b=chs[-1][0], wc=wc, cap=cap, outlines=outlines, text=text), model=model)
+    try:
+        content, usage = chat_degrade(WINDOW_PROMPT.format(
+            title=title, a=chs[0][0], b=chs[-1][0], wc=wc, cap=cap, outlines=outlines, text=text), model)
+    except SensitiveError as e:
+        # 全链被拦：跳过本窗继续后续窗（窗大纲窗间独立，不必停书），重跑自动补
+        click.echo(f"win-{win_no:02d} 敏感全链被拦，跳过（重跑补）: {str(e)[:80]}")
+        return
     data = extract_json(content)
     ol = (data.get("outline") or "").strip()
     if not ol: