sync: UI animations, select styling, TLS verify flag via proxy second line, brand spacing

agentui/pipeline/executor.py

@@ -25,6 +25,7 @@ from agentui.pipeline.templating import (
     eval_condition_expr,
 )
 from agentui.pipeline.storage import load_var_store, save_var_store, clear_var_store
+from agentui.common.cancel import is_cancelled, clear_cancel
 
 
 # --- Templating helpers are imported from agentui.pipeline.templating ---
@@ -186,6 +187,12 @@ class PipelineExecutor:
         except Exception:
             self._store = {}
 
+        # Перед стартом прогона сбрасываем возможный «старый» флаг отмены
+        try:
+            clear_cancel(self.pipeline_id)
+        except Exception:
+            pass
+
         mode = (self.loop_mode or "dag").lower()
         if mode == "iterative":
             res = await self._run_iterative(context, trace)
@@ -388,6 +395,36 @@ class PipelineExecutor:
 
         wave_idx = 0
         while ready:
+            # Ручная отмена исполнения (DAG)
+            try:
+                if is_cancelled(self.pipeline_id):
+                    if trace is not None:
+                        try:
+                            await trace({
+                                "event": "cancelled",
+                                "node_id": "",
+                                "node_type": "Pipeline",
+                                "wave": wave_idx,
+                                "ts": int(time.time() * 1000),
+                            })
+                        except Exception:
+                            pass
+                    # Снимок и финальный EXEC TRACE
+                    try:
+                        self._commit_snapshot(context, values, last_node_id or "")
+                    except Exception:
+                        pass
+                    try:
+                        summary = " -> ".join(self._exec_log) if getattr(self, "_exec_log", None) else ""
+                        if summary and isinstance(self._store.get("snapshot"), dict):
+                            self._store["snapshot"]["EXEC_TRACE"] = summary
+                            save_var_store(self.pipeline_id, self._store)
+                    except Exception:
+                        pass
+                    return last_result
+            except Exception:
+                pass
+
             wave_nodes = list(ready)
             ready = []
             wave_results: Dict[str, Dict[str, Any]] = {}
@@ -745,6 +782,36 @@ class PipelineExecutor:
 
         # Главный цикл
         while q:
+            # Ручная отмена исполнения (iterative)
+            try:
+                if is_cancelled(self.pipeline_id):
+                    if trace is not None:
+                        try:
+                            await trace({
+                                "event": "cancelled",
+                                "node_id": "",
+                                "node_type": "Pipeline",
+                                "wave": step,
+                                "ts": int(time.time() * 1000),
+                            })
+                        except Exception:
+                            pass
+                    # Снимок и финальный EXEC TRACE
+                    try:
+                        self._commit_snapshot(context, values, last_node_id or "")
+                    except Exception:
+                        pass
+                    try:
+                        summary = " -> ".join(self._exec_log) if getattr(self, "_exec_log", None) else ""
+                        if summary and isinstance(self._store.get("snapshot"), dict):
+                            self._store["snapshot"]["EXEC_TRACE"] = summary
+                            save_var_store(self.pipeline_id, self._store)
+                    except Exception:
+                        pass
+                    return last_result
+            except Exception:
+                pass
+
             # Проверяем лимиты
             if total_runs >= self.loop_max_iters:
                 raise ExecutionError(f"Iterative mode exceeded loop_max_iters={self.loop_max_iters}")