落地私聊附件询价：发卡走 H5 收 Excel/PDF，认成口播再复用三线文字流程，避免附件卡在识别或退成纯文本。

Co-authored-by: Cursor <cursoragent@cursor.com>

inquiry-agent/agent/llm/mode_attachment_text.py

@@ -1,30 +1,106 @@
 """
-千问：附件文本 mode 壳。
+千问：整理 Excel/PDF 抽出的原文。
+
+本文件职责：把抽文本结果交给 qwen-plus，只整理看得见的字，不填询价字段。
+属于 llm 包。单测注入 chat_fn。禁止算最终缺项、禁止发明港口/箱型。
 """
 
 from __future__ import annotations
 
-from typing import Any
+import logging
+from typing import Any, Optional
 
 from agent.llm.modes import LlmMode
 
+logger = logging.getLogger(__name__)
+
 MODE = LlmMode.ATTACHMENT_TEXT
 
+ATTACH_SYSTEM = (
+    "下面是从 Excel 或 PDF 抽出来的原文。请整理成一段可读的询价口播："
+    "只保留材料里已经出现的文字和数字，原样保留港口、机场三字码、箱型、重量。"
+    "看不清或没出现的不要猜，不要补询价缺项，不要发明港口、重量或日期。"
+    "材料完全没有询价信息时输出空。"
+)
+
 
 def mode_meta() -> dict[str, Any]:
     return {
         "mode": MODE.value,
         "provider": "qwen",
         "purpose": "attachment_text",
-        "implemented": False,
+        "implemented": True,
+    }
+
+
+def _pack_text(text: str, *, stub: bool = False) -> dict[str, Any]:
+    body = (text or "").strip()
+    return {
+        "ok": True,
+        "stub": stub,
+        "mode": MODE.value,
+        "text": body,
+        "empty": not bool(body),
+        "error": "",
     }
 
 
 def invoke_shell(*, payload: dict[str, Any]) -> dict[str, Any]:
+    """
+    无网/单测入口：优先 assistant_text；否则把 raw_text 当整理结果。
+    """
+    data = dict(payload or {})
+    if "assistant_text" in data:
+        return _pack_text(str(data.get("assistant_text") or ""), stub=True)
+    if "raw_text" in data:
+        return _pack_text(str(data.get("raw_text") or ""), stub=True)
     return {
         "ok": False,
         "stub": True,
         "mode": MODE.value,
+        "text": "",
+        "empty": True,
         "error": "attachment_text_shell_not_implemented",
-        "echo_keys": sorted(payload.keys()),
+        "echo_keys": sorted(data.keys()),
     }
+
+
+def invoke_attachment_text(
+    *,
+    payload: dict[str, Any],
+    chat_fn: Optional[Any] = None,
+    allow_network: bool = False,
+) -> dict[str, Any]:
+    """
+    整理一份抽出原文。chat_fn 单测注入；无网走 invoke_shell。
+    """
+    data = dict(payload or {})
+    raw = str(data.get("raw_text") or "")
+    if chat_fn is None and not allow_network:
+        return invoke_shell(payload=data)
+    if not raw.strip():
+        return _pack_text("", stub=chat_fn is None)
+    if chat_fn is None:
+        from agent.llm.http_client import LlmHttpClient
+
+        client = LlmHttpClient.from_settings()
+        chat_fn = client.chat
+    messages = [
+        {"role": "system", "content": ATTACH_SYSTEM},
+        {"role": "user", "content": raw.strip()},
+    ]
+    result = chat_fn(mode=MODE, messages=messages)
+    if not getattr(result, "ok", False):
+        err = str(getattr(result, "error", "") or "attachment_text_failed")
+        logger.info("attachment_text 失败 err=%s", err)
+        return {
+            "ok": False,
+            "stub": False,
+            "mode": MODE.value,
+            "text": "",
+            "empty": True,
+            "error": err,
+        }
+    packed = _pack_text(str(getattr(result, "content", "") or ""))
+    packed["stub"] = False
+    return packed