fix: stop excel fallback to openclaw and harden workbook save

remote_sync/bot.py

@@ -2318,8 +2318,8 @@ class OpenClawDingTalkBot(ChatbotHandler):
             stderr_text = (proc.stderr or "").strip()
             if proc.returncode != 0 or not os.path.exists(output_path):
                 detail = stderr_text or stdout_text or "未知错误"
-                self.logger.error("excel converter failed code=%s detail=%s", proc.returncode, detail[:800])
+                self.logger.error("excel converter failed code=%s detail=%s", proc.returncode, detail[:2500])
-                return f"Excel 转换失败：{detail[:500]}", False
+                return f"Excel 转换失败：{detail[:1200]}", False
 
             summary_line = ""
             for line in stdout_text.splitlines():
@@ -2584,17 +2584,18 @@ class OpenClawDingTalkBot(ChatbotHandler):
                         context_text = image_context_result.get("context_text", "")
                         if context_text:
                             prompt_for_exec = self._merge_prompt_with_image_context(prompt, context_text)
-                    if self._is_install_media_prompt(prompt):
+                    if not has_excel_file:
-                        answer = await asyncio.to_thread(self._run_install_media_lookup, prompt)
+                        if self._is_install_media_prompt(prompt):
-                    elif self._is_dalongxia_analytics_prompt(prompt):
+                            answer = await asyncio.to_thread(self._run_install_media_lookup, prompt)
-                        answer = await asyncio.to_thread(self._run_dalongxia_analytics, prompt)
+                        elif self._is_dalongxia_analytics_prompt(prompt):
-                    elif self._is_video_analysis_prompt(prompt):
+                            answer = await asyncio.to_thread(self._run_dalongxia_analytics, prompt)
-                        answer = await asyncio.to_thread(self._run_video_analysis, prompt)
+                        elif self._is_video_analysis_prompt(prompt):
-                    elif self._is_market_prompt(prompt):
+                            answer = await asyncio.to_thread(self._run_video_analysis, prompt)
-                        subject = self._extract_market_subject(prompt)
+                        elif self._is_market_prompt(prompt):
-                        answer = await asyncio.to_thread(self._run_market_brief, subject)
+                            subject = self._extract_market_subject(prompt)
-                    else:
+                            answer = await asyncio.to_thread(self._run_market_brief, subject)
-                        answer = await asyncio.to_thread(self._run_openclaw, session_id, prompt_for_exec)
+                        else:
+                            answer = await asyncio.to_thread(self._run_openclaw, session_id, prompt_for_exec)
             except Exception:
                 self.logger.exception("worker execution failed: session=%s", session_id)
                 answer = "系统执行异常，请稍后重试。"

remote_sync/skills/dingtalk-excel-image-return/scripts/convert_excel_image_links.py

@@ -307,6 +307,26 @@ def process_sheet(sheet, args: argparse.Namespace, ssl_context, temp_files: list
     return results
 
 
+def drop_broken_images(workbook) -> int:
+    removed = 0
+    for sheet in workbook.worksheets:
+        existing = list(getattr(sheet, "_images", []))
+        if not existing:
+            continue
+        kept = []
+        removed_in_sheet = 0
+        for image in existing:
+            try:
+                image._data()
+                kept.append(image)
+            except Exception:
+                removed += 1
+                removed_in_sheet += 1
+        if removed_in_sheet:
+            sheet._images = kept
+    return removed
+
+
 def main() -> int:
     args = parse_args()
 
@@ -333,7 +353,14 @@ def main() -> int:
 
     output_path.parent.mkdir(parents=True, exist_ok=True)
     try:
-        workbook.save(output_path)
+        try:
+            workbook.save(output_path)
+        except Exception as save_error:
+            removed = drop_broken_images(workbook)
+            if removed <= 0:
+                raise
+            print(f"WARN: dropped_broken_images={removed} reason={save_error}")
+            workbook.save(output_path)
     finally:
         for file_path in temp_files:
             file_path.unlink(missing_ok=True)