修了 evidence 捕获的优先级逻辑：

start_web.bat

@@ -1,5 +1,5 @@
 @echo off
 echo Starting IOV Data Analysis Agent Web Interface...
 echo Please open http://localhost:8000 in your browser.
-python -m uvicorn web.main:app --reload --host 0.0.0.0 --port 8000
+python -m uvicorn web.main:app --reload --reload-exclude "outputs/*"  --host 0.0.0.0 --port 8000
 pause

utils/code_executor.py

@@ -387,10 +387,14 @@ from IPython.display import display
             sanitized.append(clean)
         return sanitized
 
-    def _capture_evidence_rows(self, result, shell) -> List[Dict]:
+    def _capture_evidence_rows(self, result, shell, df_snapshot_before=None) -> List[Dict]:
         """
         Capture up to 10 evidence rows from the execution result.
-        First checks result.result, then falls back to the last DataFrame in namespace.
+
+        Priority order:
+        1. result.result if it's a DataFrame (direct code output)
+        2. Smallest newly-created DataFrame this round (most likely an analysis result)
+        3. Last DataFrame in namespace (fallback)
         """
         try:
             # Primary: check if result.result is a DataFrame
@@ -401,6 +405,31 @@ from IPython.display import display
         except Exception:
             pass
 
+        # Secondary: find the smallest NEW DataFrame created this round
+        # (e.g. groupby result, crosstab, etc. — more relevant than the main df)
+        if df_snapshot_before is not None:
+            try:
+                after = self._snapshot_dataframes(shell)
+                new_names = [n for n in after if n not in df_snapshot_before]
+                if new_names:
+                    # Pick the smallest new DataFrame (most likely a summary/aggregation)
+                    best_df = None
+                    best_size = float('inf')
+                    for name in new_names:
+                        try:
+                            obj = shell.user_ns[name]
+                            if isinstance(obj, pd.DataFrame) and len(obj) < best_size:
+                                best_df = obj
+                                best_size = len(obj)
+                        except Exception:
+                            continue
+                    if best_df is not None:
+                        return self._sanitize_for_json(
+                            best_df.head(10).to_dict(orient="records")
+                        )
+            except Exception:
+                pass
+
         # Fallback: find the last-assigned DataFrame variable in namespace
         try:
             last_df = None
@@ -634,7 +663,7 @@ from IPython.display import display
             # --- 自动保存机制 end ---
 
             # --- Task 5: Evidence capture ---
-            evidence_rows = self._capture_evidence_rows(result, self.shell)
+            evidence_rows = self._capture_evidence_rows(result, self.shell, df_snapshot_before)
 
             # --- Task 6.2-6.4: DataFrame auto-detection and export ---
             auto_exported_files = []