修复轻量拓展分析 NL 触发第一轮测试反馈（PM 裁断）

- P0 目录截断：_rough_candidates 关键词源扩展 extension_id token 与参数 flag；命中数降序排序；MAX_CATALOG_CHARS 12000→24000；截断时 reason 注明
- P1a 过滤缺失 extension_id 的记录，不再产出 None 候选
- P1b hmmsearch/hmmer/blast/blastp 不再全量触发，改为按关键词源匹配子集；仅「拓展分析/扩展分析/extension」允许全量候选
- P2 extension_name 改为 extension_id 紧凑形式（去尾缀时间戳截 30 字符）；message 中文模板（extension_id 为主、summary 括号补充）
- P2 nl-import-paths：目录同名冲突 _1/_2 后缀；多路径先整体校验后复制

apps/web/vue3/main.py

@@ -4451,7 +4451,8 @@ async def nl_import_paths(req: NlImportPathsRequest):
     """把服务器上的绝对路径（文件或目录）复制进当前 job 的 input/_nl_imports/。
 
     供轻量拓展分析自然语言触发向导使用；路径必须真实存在且解析后位于
-    /home/xzq/ 或 /data/ 之下。
+    /home/xzq/ 或 /data/ 之下。所有路径先整体校验，任一非法直接 400，
+    全部合法后才逐个复制。
     """
     job_id = str(req.job_id or "").strip()
     if not job_id:
@@ -4463,7 +4464,7 @@ async def nl_import_paths(req: NlImportPathsRequest):
         raise HTTPException(status_code=400, detail=f"无法创建 job 输入目录: {exc}") from exc
 
     allowed_roots = ("/home/xzq/", "/data/")
-    imported: dict[str, str] = {}
+    sources: list[Path] = []
     for raw_path in req.paths or []:
         raw_text = str(raw_path or "").strip()
         if not raw_text:
@@ -4483,8 +4484,12 @@ async def nl_import_paths(req: NlImportPathsRequest):
                 status_code=400,
                 detail=f"路径必须位于 {', '.join(allowed_roots)} 之下: {raw_text}",
             )
-        target_dir = job_dir / "_nl_imports"
-        target_dir.mkdir(parents=True, exist_ok=True)
+        sources.append(source)
+
+    target_dir = job_dir / "_nl_imports"
+    target_dir.mkdir(parents=True, exist_ok=True)
+    imported: dict[str, str] = {}
+    for source, raw_path in zip(sources, [str(p or "").strip() for p in req.paths or []]):
         if source.is_file():
             destination = target_dir / source.name
             candidate = destination
@@ -4495,16 +4500,21 @@ async def nl_import_paths(req: NlImportPathsRequest):
             try:
                 shutil.copy2(source, candidate)
             except OSError as exc:
-                raise HTTPException(status_code=400, detail=f"复制文件失败: {raw_text}: {exc}") from exc
+                raise HTTPException(status_code=400, detail=f"复制文件失败: {raw_path}: {exc}") from exc
             name = candidate.name
         else:
             destination = target_dir / source.name
+            candidate = destination
+            counter = 1
+            while candidate.exists():
+                candidate = target_dir / f"{source.name}_{counter}"
+                counter += 1
             try:
-                shutil.copytree(source, destination, dirs_exist_ok=True)
+                shutil.copytree(source, candidate, dirs_exist_ok=True)
             except OSError as exc:
-                raise HTTPException(status_code=400, detail=f"复制目录失败: {raw_text}: {exc}") from exc
-            name = destination.name
-        imported[raw_text] = f"input/{job_id}/_nl_imports/{name}"
+                raise HTTPException(status_code=400, detail=f"复制目录失败: {raw_path}: {exc}") from exc
+            name = candidate.name
+        imported[raw_path] = f"input/{job_id}/_nl_imports/{name}"
     return {"success": True, "imported": imported}
 
 
@@ -16553,6 +16563,7 @@ def _match_lightweight_extension_intent(message: str, job_id: str = "") -> dict[
 
     返回 dict 含 lightweight=True；任何失败返回 {}，绝不抛异常。
     """
+    records: list[dict] = []
     try:
         from gfa_core.extension_stage_lightweight import nl_intent
 
@@ -16571,10 +16582,20 @@ def _match_lightweight_extension_intent(message: str, job_id: str = "") -> dict[
         return {}
     if resolution is None or not resolution.extension_id:
         return {}
+    summary_hint = ""
+    for record in records:
+        if str(record.get("extension_id") or "") != resolution.extension_id:
+            continue
+        candidate = record.get("semantic_candidate")
+        if isinstance(candidate, dict):
+            first_sentence = re.split(r"[。.!?；;]", str(candidate.get("function_summary") or ""))[0].strip()
+            summary_hint = first_sentence[:60]
+        break
     params = {
         "extension_id": resolution.extension_id,
         "extensionName": resolution.extension_name or resolution.extension_id,
         "extension_store": "lightweight",
+        "function_summary": summary_hint,
         "llm_slots": {
             "input_overrides": resolution.input_overrides,
             "parameter_overrides": resolution.parameter_overrides,
@@ -16584,6 +16605,16 @@ def _match_lightweight_extension_intent(message: str, job_id: str = "") -> dict[
         "confidence": resolution.confidence,
         "parse_reason": resolution.reason,
     }
+    if summary_hint:
+        message_text = (
+            f"已识别为轻量拓展分析：{params['extension_id']}（{summary_hint}）。"
+            "请按引导上传或选择输入文件并核对参数后执行。"
+        )
+    else:
+        message_text = (
+            f"已识别为轻量拓展分析：{params['extension_id']}。"
+            "请按引导上传或选择输入文件并核对参数后执行。"
+        )
     return {
         "stage": "extension_stage",
         "stages": ["extension_stage"],
@@ -16596,7 +16627,7 @@ def _match_lightweight_extension_intent(message: str, job_id: str = "") -> dict[
         "taskType": "extension_stage",
         "lightweight": True,
         "confidence": resolution.confidence,
-        "message": f"已识别为轻量拓展分析：{params['extensionName']}。请按引导上传或选择输入文件并核对参数后执行。",
+        "message": message_text,
         "job_id": job_id,
         "workspace": str(PROJECT_ROOT / "workspace" / job_id) if job_id else "",
     }